SCROLL NEWS / DISCOVERY
Search headlines
Find the stories shaping the conversation.
Results for " although " 408 found 🔀 AI-powered Shuffle
What England's local councils tell us about fragmenting politics
Even the most ardent advocate for local democracy would concede that council chambers are not always the most exciting places. Subscribe Whether it’s planning meetings, motions or resolutions, you’d be forgiven for switching off. Unless it’s lockdown and we’re talking about standing orders, of course. Remember Jackie Weaver, who infamously “had no authority here” at a chaotic parish council Zoom call in 2021? Yet, as a general rule since then, council meetings rarely make the headlines beyond local papers and news websites. Reform’s success After Reform’s stunning success at the local elections in May though, the leader of the party’s group on Kirklees Council suddenly found she’d gone viral online for admitting that she didn’t actually understand council procedures. “I don’t understand the constitution”, Councillor Sarah Wood, pictured above, told the council chamber. “I have not had sufficient time to read that as yet. I don’t understand what standing orders are, what they’re made up of, nor do I understand what an amendment is.” Share Channel 4 News Councillor Wood later defended her comments to the BBC, and said that “new councillors and not just us, are coming from jobs”. She claimed that the sharing of the clip mocking her online was an example of “Reform-bashing”. She added: “Yes, we need to know procedures. Yes we need to do the homework. And we have addressed that now and we have put that right.” So, with standing orders getting another moment in the spotlight, not to mention the fracturing and fragmentation from May’s results, we set out to find out how new councillors are doing across England in this new political landscape. New political landscape Where better to start then than Kirklees, in West Yorkshire. Reform is the largest party, the council is under no overall control and has chosen a new leader - Sarah Wood - after two failed attempts to elect one. It is difficult to secure interviews with new Reform councillors, but John Hardie, pictured below, told us it’s been a “whirlwind” since being elected in May. He represents the Dalton ward and told us the party’s lack of political experience hasn’t been a hindrance. “We’ve come with lots of experience, lots of business experience and life experience, and it’s been good, actually, too. And to mix with other councillors who have been in the political world, and we can learn from each other.” Indeed, more parties are now having a say than ever before. In Manchester, the Green Party followed up their victory in the parliamentary by-election in Gorton and Denton by gaining 17 seats on the city council. That makes them the official opposition to Labour, who have long dominated Manchester City Council. [ ](https://channel4news.substack.com/p/how-landmark-green-by-election-win) [ How landmark Green by-election win could change British politics ](https://channel4news.substack.com/p/how-landmark-green-by-election-win) Krishnan Guru-Murthy · Feb 27 [ Read full story ](https://channel4news.substack.com/p/how-landmark-green-by-election-win) Thirza Amina Asanga-Rae, pictured below, is one of those new councillors, representing Moss Side. We asked her how being the official opposition can make a difference. She said: “I think even the fact that we’ve made history in what we’ve done, it’s been a 50-year stronghold of Labour in Manchester, and now that we’ve broken that and chipped in that, there’s real hope that we can not only run the council in the future, but currently hold them to account. So, I think that’s powerful. It’s just going to help shape and build what I call the green wave.” The reality, though, is that several newly elected councillors across the country have already left their roles through resignations, suspensions or defections. ‘It’s a slog’ Asanga-Rae adds: “It’s a job, it’s a slog. Obviously, we’re going through hard times. Austerity is real. We’re talking about food, child poverty, furniture poverty. The list is endless, and I think people who come into a councillor role need to be willing to help, really roll the sleeves up and get involved and help, and I think a lot of the career politicians, who think it’s the ‘la-di-da’ position, get in and realise I’m not going to do this work and bounce.” Share Although Manchester still has a clear majority, many councils, including Kirklees, are now under no overall control. That is perhaps the strongest sign of the political fragmentation we are seeing. Burnley is another example of this. Reform is now the largest party, yet they’re not part of the power-sharing coalition on this council - the Liberal Democrats and a local group of independents. Zulkernehn Hayat, pictured below, is part of The Independent Group. He represents Queensgate ward and told us all councils can benefit from having more independent councillors. ‘This is where I was brought up’ He said: “This is my home. This is Burnley. This is where I was brought up. Why do I need to get approval from somebody in a head office down south somewhere, you know? “This is my biggest argument. If okay, my neighbour comes to me with an issue, I can then take that straight to the council, because I don’t need to get approval from anywhere else. And this is the benefit of being independent.” So, while voters will always inevitably want quick results, perhaps spare a thought for the newly-elected councillors who are still navigating local government - one standing order at a time. Subscribe Share Channel 4 News Leave a comment
Which Falcons Linebacker Room Addition Will Step Up in 2026?
The Atlanta Falcons had an eventful offseason, marked by staff changes, new additions, and the departure of several impact players from the last few seasons. As training camp continues, Atlanta has a multitude of questions to answer surrounding many positions, including quarterback, linebacker, and offensive tackle. Although the biggest question on Falcons fans' minds is who will start at QB, the linebacker position is anything but set in stone.
Carlos Ulberg Reacts to Magomed Ankalaev’s UFC Abu Dhabi Win
UFC light heavyweight champion Carlos Ulberg reacted to Magomed Ankalaev’s win at UFC Abu Dhabi over Bogdan Guskov.Ulberg was cageside when Ankalaev finished Guskov in the fifth round of their UFC Abu Dhabi main event. Although it wasn’t the most exciting fight to watch, it was no doubt a very dominant win by Ankalaev, who […] The post Carlos Ulberg Reacts to Magomed Ankalaev’s UFC Abu Dhabi Win appeared first on HEAVY.
Temporal Changes in Pediatric Influenza Test Positivity Across COVID-19 Public Health Policy Phases: A Five-Year Retrospective Cohort Study
Background The COVID-19 pandemic coincided with substantial changes in respiratory virus circulation, healthcare utilization, and diagnostic testing. Although population-level influenza activ...
Red Sox Minor Lines: Kristian Campbell stays hot
Worcester: W, 6-5 (BOX SCORE) The WooSox now have 45 hits in their last three games. Although this game was close and the Jumbo Shrimp (Marlins AAA) were resilient, tagging every relief pitcher for runs in a bullpen game after Tyler Uberstine opened things up with a scoreless first, the WooSox simply just stayed one […]
Handled with care, AI can be miraculous
Although it has huge potential for harm, artificial intelligence is accelerating breakthroughs in science and medicine — but it can’t replace human imagination
Musiala expected to start individual training from end of July
Although Bayern Munich's pre-season training camp is on the horizon, Jamal Musiala will miss out having undergone another foot surgery.However, Kicker.de have outlined his return to play schedule, wit...
💣The Athletic: Real Madrid working to sign Rodri
Real Madrid are moving firmly ahead with their squad planning and are working on the assumption that Rodri Hernández will become their new signing during this transfer window. Although the boards of ...
Three Atlanta Falcons Rookies Who Could Make an Immediate Impact
The Atlanta Falcons are coming off of an underwhelming 2025 season, finishing with an 8-9 record and falling just short of the playoffs. The Falcons and their new coaching staff looked to address holes and lack of depth at many positions including receiver, cornerback, and linebacker. Atlanta had six selections in this year's draft and although did not have a first round pick due to a trade with the Rams during the 2025 draft, selected three players that I believe could have an immediate impact.
Democrats could take initial vote on 2028 presidential primary calendar this week
Democrats could vote as early as this week on the order of their primary calendar for the 2028 presidential election, although the decision wouldn't be final until the full Democratic National Committee agrees.
Detroit Lions 2026 Player Profile: Christian Mahogany
Christian Mahogany enters his third year and although he was named the starter last season, that may not be promised this year.
One lucky guy was officially allowed to leak the Samsung Galaxy Z Fold 8
Although an Instagram Story didn’t provide the very first glimpse, it did offer the first official look at the new Samsung Galaxy Z Fold8, which will be unveiled next week during the Galaxy Unpacked launch event. One of the BTS members was allowed to go ahead and "leak" the device in full glory.
What is the roundest animal?
It's fairly uncommon to find a spherical creature, although they're more common in the sea than on land. So which one is the roundest?
How health officials are racing to track foods behind cyclosporiasis outbreak in over 27 states
Shredded lettuce is one possible culprit, although it’s highly likely there are other sources of the foodborne illnesses making people sick across the U.S.
Fells Point businesses caught between teen chaos and crackdown
Although the city has boosted police presence in Fells Point, some business owners say those efforts haven’t been enough.
Pre-order page for HTC VIVE Eagle smart glasses reveals release date before it's taken down
HTC's VIVE Eagle smart glasses are coming to the US although a pre-order listing on Amazon was removed from the site.
Taxes, paid leave program on minds of N. Va. business leaders after General Assembly session
Optimism among Northern Virginia business leaders is improving, although some expressed worries about taxes and the state's approval of a paid family and medical leave program. That's according to the second-quarter 2026 Business Leader Survey released last week by the Northern Virginia Chamber of Commerce and public relations firm Pinkston, revealing the sentiments of the
Rhayuela’s Next Gen Takes Over
Prominent Colombian shingle Rhayuela, known for such memorable pics as Cannes 2015 Un Certain Regard title “Alias María,” “El Páramo” and “Rebellion,” is shuffling its leadership although its six orig...
Going to museums, movies, and theater may help your body stay younger
Going to the cinema, visiting museums, or attending concerts may do more than entertain. Researchers found that older adults who regularly participated in cultural activities tended to have bodies that functioned like those of people about three years younger. They believe stronger social ties, better mental health, and healthier habits could help explain the link, although more research is needed to determine whether cultural activities directly slow aging.
The Quintessential Trump-era Politician
In 2020, I wrote an article about collaboration and collaborators. The title was History Will Judge the Complicit, and it started with the story of two famous East Germans, Markus Wolf and Wolfgang Leonhard, who both landed in East Berlin just after the end of the war. Although they came from very similar backgrounds, the former stuck with the regime, eventually becoming its spy boss; the latter, horrified by the brutal reality of Soviet-style communism, escaped. By way of juxtaposition, I also wrote about Lyndsey Graham and Mitt Romney. These two men also made very different decisions when confronted by Donald Trump’s assault on the ideals that they had both grown up believing: A glance at their biographies would not have led many to predict what happened next. On paper, Graham would have seemed, in 2016, like the man with deeper ties to the military, to the rule of law, and to an old-fashioned idea of American patriotism and American responsibility in the world. Romney, by contrast, with his shifts between the center and the right, with his multiple careers in business and politics, would have seemed less deeply attached to those same old-fashioned patriotic ideals. Most of us register soldiers as loyal patriots, and management consultants as self-interested. We assume people from small towns in South Carolina are more likely to resist political pressure than people who have lived in many places. Intuitively, we think that loyalty to a particular place implies loyalty to a set of values. But in this case the clichés were wrong. It was Graham who made excuses for Trump’s abuse of power. It was Graham—a JAG Corps lawyer—who downplayed the evidence that the president had attempted to manipulate foreign courts and blackmail a foreign leader into launching a phony investigation into a political rival. It was Graham who abandoned his own stated support for bipartisanship and instead pushed for a hyperpartisan Senate Judiciary Committee investigation into former Vice President Joe Biden’s son. It was Graham who played golf with Trump, who made excuses for him on television, who supported the president even as he slowly destroyed the American alliances—with Europeans, with the Kurds—that Graham had defended all his life. By contrast, it was Romney who, in February, became the only Republican senator to break ranks with his colleagues, voting to impeach the president. “Corrupting an election to keep oneself in office,” he said, is “perhaps the most abusive and destructive violation of one’s oath of office that I can imagine.” In the wake of Graham’s unexpected death on Saturday, I wrote about him again. He was, in many ways, the quintessential politician of Trump’s Washington, a man who shifted 180 degrees. Graham had been a fervent American patriot, proud reserve officer and military lawyer; he became one of the most important defenders of a president who believes soldiers are “suckers and losers” and shows no respect for law of any kind. As his politics changed, his language grew coarser and his behavior grew worse: He urged Israel to “level the place” in Gaza, and insulted the Danish prime minister in Munich, prompting a colleague, Senator Elissa Slotkin, to issue an apology. Here’s an excerpt from the article, which you can read in The Atlantic (gift link here) Like his close friend John McCain, Graham believed that America should stand at the center of a broad democratic alliance. The few times I met him were in that context, at the Munich Security Conference or at other European-American gatherings, which he once attended with great regularity. He also took seriously the practice of American democracy at home. In a 2014 conversation with The Atlantic, he described himself as a pragmatic politician who eschewed populist slogans. “I know Washington is broken, but what’s broken about it is everybody yelling and nobody trying to fix it,” he said. “I’m trying.” When Donald Trump first appeared in U.S. politics, Graham recognized him immediately for what he was: the spokesman for an alien ideology, one radically different from the idealistic patriotism that Graham had practiced and preached since childhood. Trump privately mocked the military that Graham loved as nothing but “suckers and losers.” He put falsehoods, cynicism, and personal greed at the center of his politics, while expressing disdain for transparency, accountability, and democracy itself. In 2015, Graham described Trump as a “race-baiting, xenophobic, religious bigot” who should “go to hell.” Also as a “nutjob.” When Trump won, Graham understood, as did so many others, that he would have to make some important choices. For a while, he went silent. In the spring of 2016, I saw him at one of those conferences in Europe. He seemed too depressed to speak. But then, like many other Republicans—and, more important, like many other people who have lived under political occupation or experienced radical regime change—he made the decision to abandon his previous ideals, to bury the patriotism that was once so important to him, and to become, instead, a loud, opportunistic collaborator. As I wrote in 2020, it’s very hard to look in to anyone’s heart and to understand their motivations from the outside. But it does seem that Graham had a deep need to be relevant, to be in the game, to be a player, at any cost. And that, rather than any particular achievement, is what he will be remembered for. Continuing to monitor conflicts of interest, ostentatious emoluments, outright corruption and policy changes that will facilitate outright corruption. (Read my original article, Kleptocracy Inc and check out the SNF Agora Institute chart) June 27 Trump diverted funds from more than 900 projects nationwide—including safety upgrades at national parks—to finance beautification projects around Washington, including $700,000 used to fix a White House walkway. June 28 After a years-long Department of Justice investigation into Abbott Laboratories over its management of a baby formula facility where potentially deadly bacteria turned up enough evidence to criminally charge the firm, top department officials instead opted for a financial penalty—illustrating the department’s move away from strict corporate enforcement under the Trump administration. June 29 Defense Secretary Pete Hegseth stacked the Defense Policy Board—which is charged with providing independent national security recommendations to the Office of the Secretary of Defense—with Trump allies, including tech billionaire Marc Andreessen, who has invested in defense contractors like OpenAI and SpaceX, after purging the panel last year. Trump purchased between $1 million and $5 million worth of stock in Axon—which makes about 90% of US tasers—two weeks before ICE solicited bids for a $220 million taser contract. The White House unveiled limited-edition US passports for America’s 250th birthday, featuring a portrait of Trump overlaid on the Declaration of Independence. June 30 Trump made around $1.2 billion from his various crypto companies last year, including more than $500 million from World Liberty Financial and $600 million from sales of his meme coin. Trump is considering issuing 250 pardons to commemorate America’s 250th birthday. These are expected to be largely doled out through the Office of the Pardon Attorney’s informal network of intermediaries. White-collar defense attorneys say they can typically win pardons for clients for $2 million. Last year, Trump administration officials awarded a no-bid contract worth up to $500 million to Clark Construction for the White House ballroom—negotiations in which the president was directly involved. July 1 The Amazon MGM Studios documentary about Melania Trump earned the First Lady more than $10 million. Trump made hundreds of individual stock purchases worth as much as $12.8 million the day before his announcement pausing “Liberation Day” tariffs for 90 days sent the S&P 500 soaring nearly 10%—one of the largest single-day gains ever. Mar-a-Lago and Trump National Doral saw record surges in revenue during Trump’s first year in office, earning $77.5 million and $121.9 million respectively, compared to average annual revenues of $25 million and $75 million during Trump’s first term. Entities across the Persian Gulf paid more than $300 million to Trump’s businesses last year, including $263 million from the sale of half his stake in World Liberty Financial to a firm backed by Sheikh Tahnoon bin Zayed Al Nahyan, a top UAE royal and brother of the country’s president. Kash Patel failed to properly disclose his stock purchase of a Department of Justice contractor, MicroStrategy, worth up to $250,000 last year, despite laws requiring disclosure within 45 days of the trade. July 2 Trump has been directing administration officials to steer more government contracts—so far worth more than $2.4 billion—to Jeff Bezos’s Blue Origin aerospace firm, after Amazon gave $1 million to Trump’s inaugural fund, donated to the White House ballroom project, and reached a $40 million deal to license a Melania Trump documentary. Alongside the billions he made from cryptocurrency last year, Trump earned millions of dollars from real estate licensing fees, including $21 million from organizations in the UAE and $9.2 million in Saudi Arabia, along with smaller sums from merchandise sales, including $4.7 million from Trump Watches and $35,920 from 45 Guitar, a guitar brand endorsed by the president. House Democrats accused consultants tied to the Trump administration of financial fraud, alleging they gave prospective donors to America250—the bipartisan committee created by Congress to celebrate the nation’s semiquincentennial—the banking and routing numbers for Freedom 250, the White House’s fund for events like the UFC cage fight. Democrats also allege that Freedom 250’s CEO traveled to the World Economic Forum in Davos to solicit donations from foreign government officials and business leaders. The Trump administration’s proposed rollback of gun regulations would lift the prohibition on mailing handguns to individuals, a significant win for GrabAGun—the direct-to-consumer firearm retailer on whose board Donald Trump Jr. sits and in which he holds a 1.1% ownership stake. GrabAGun currently must rely on a middleman to transfer firearms to customers. Trump’s financial disclosure revealed that he made more than 21,000 securities trades during his first year back in office, growing his investment account to at least $858 million across stakes in around 1,600 companies, compared to the 13 total trades Joe Biden made during his entire presidency. July 4 Nearly 1 million people who bought the president’s meme coin—Trump Coin—collectively lost $3.8 billion on the token, while he walked away with $636 million. July 6 Shares of Dell closed up 4.4% after Trump recommended people buy the firm’s computers during a speech announcing the launch of Trump investment accounts for children, boosting the more than $1 million worth of shares the president owns in the company. July 9 Federal Reserve Chair Kevin Warsh named crypto investor and Trump ally Marc Andreessen to a task force aimed at modernizing the Federal Reserve, including rethinking its approach to inflation—a key factor keeping interest rates elevated. Palm Beach International Airport has officially changed its name to Trump International Airport—a move that will require Florida to pay royalties to the president’s family for licensing his name. I was there a few months ago, during a trip to Barcelona. The sculptures were a revelation, I’d never seen so many together before. Each one has its own personality. Enjoy the good weather, if you are lucky enough to have it. History Will Judge the Complicit The Quintessential Politician Autocracy Inc Open Letters, from Anne Applebaum is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
O’Rorke, Loeffler discuss newly-created Bulldog Sports Enterprises
(KSEE/KGPE) – Fresno State Athletics is trying something new with its intellectual property and multimedia rights this year, but although the station may be changing, a familiar voice will still be calling their games on the radio. On Bulldog Insider Sunday night, Ryan O’Rorke, the Vice President and General Manager of the newly-created Bulldog Sports […]
Dovbyk’s salary represents main obstacle for Genoa
Artem Dovbyk is expected to leave Roma. The Ukrainian striker is not part of Gian Piero Gasperini’s coaching plan, although he will attend the training camp scheduled for tomorrow (July 13) at Trigo...
They're Building Half A Bridge to Save Science...
Today’s post is about science: what you can do now to protect it from unprecedented threats, and how your action is the first half of a long-term program that Congress must take up next. Let me start with describing the embryonic state of science advocacy. There are many well-meaning organizations: the American Association for the Advancement of Science, Research!America, and subject-specific organizations such as the Society for Neuroscience and the American Physical Society. Their general approach is to emphasize the common good: the remarkable value that science and innovation have provided to all Americans. However, these organizations are offering an incomplete solution. Before I start, a preliminary: If you already know about the threat, go ahead and weigh in with OMB at this link. Ideas about what to say come from Research!America and the American Physical Society. You have until Monday, July 13 at 11:59pm Eastern. Then come back here and read the rest of this post. Finally, get in touch with whoever is likely to be your next member of Congress in 2027. The threat: An end to merit-based science… The onslaught of attacks on science is accelerating. It’s not just cuts to grants, which was the last battle. That battle is not done yet, but there is a new and worse threat. Now comes a proposed public rule from the Office of Management and Budget. The rule would take decision-making power over grants away from experts and put it into the hands of political appointees. Former NIH official Elizabeth Ginexi wrote an excellent summary of what OMB is trying to do, which is codify the executive branch’s ability to award or terminate grants, for arbitrary cause or no stated cause. Since World War II, a necessary step in scientific grant-making has been consideration of scientific merit. This approach has made America into a dominant scientific superpower, the envy of the world. Of course, political considerations do come into the mix. The proposed rule tilts the balance dramatically away from merit. …but why? Many people have difficulty comprehending why Russell Vought and OMB would want to damage science in this way. If you’re a working scientist, you are likely to be particularly uncomprehending. Who would hurt an activity so self-evidently good? The answer is: this is part of the program to replace the rule of law with a personalist regime. OMB Director Russell Vought, a Christian nationalist, would like to implement what legal scholars call a “unitary executive,” and what I would call a dictatorship. Or if you like, a personalist authoritarian regime. I am a working scientist. This rule will debilitate my research. It may chill the speech of scientists for speaking freely in the public sphere. It is a form of personalizing power and decision-making within the executive branch. In short, it sacrifices science in the service of tyranny. To Russell Vought, a decrease in the quality of science might be an acceptable cost. He might even consider it an added benefit to weaken a pillar of soft U.S. power based on knowledge and skepticism. The professional societies are building half a bridge The nonprofits are asking you to make public comment. Public comment is like building the first half of a bridge. Before implementation, OMB is compelled by law to have a period of public comment. Rules have to be consistent with the law and the Constitution. They express the federal government’s stance toward how those laws will be implemented. When a presidential administration works in good faith, these public comments are used to inform their eventual action, and sometimes mitigate it. The comment period reflects our First Amendment right to petition our government. The executive branch is then supposed to take those comments into account - completing the bridge between us, the people, and our government. Project 2025 seeks to take away the second half of the bridge. We have to replace it. The first half of the bridge Organizations like AAAS, Research!America, and SfN are partly right. You should certainly comment. Their core model is earnest: if enough of us make noise, then we will achieve change. This idealistic point of view is offered in good faith. That point of view is also currently bullshit. The fundamental reason is that the federal rulemaking process has two parts: There has to be a period of public comment. OMB makes the final rule…but is free to disregard public comment. Oops. That’s a loophole. However, not all is lost. Congress can complete the bridge Congress has enormous power. That power suggests a roadmap for how to proceed. This lawless administration is still going to issue that rule. Nonetheless, your comments still play an essential role. Here are two steps you can take. Step 1: Send your comment to your Representative and Senator. Whether they are Democrats or Republicans, many of them support science. Whatever you wrote as public comment in the Federal Register, also send it to your member of Congress. You can include information about jobs in your district or state by looking at Joshua Weitz’s ScienceMatters interactive map. Call the U.S. Capitol switchboard at (202) 224-3121 and give your town, zip code, or state, then deliver your message. Step 2: Politicize the hell out of science. You heard me, politicize it as an issue. We hear a lot from the old scientific establishment about science being nonpartisan. This is obsolete, sentimental thinking. Under normal conditions, it was true. But we can no longer make that assumption. We can keep on pretending, but we’re putting science at risk. There is a way forward. Rules are subordinate to the law…and Congress makes laws. Therefore Congress can step in. In this fall’s election, it is likely that Democrats will retake the House of Representatives. That puts at least one chamber of Congress in the hands of Democrats. They are far more inclined than the current Congress to investigate and legislate. This opens a path to undoing the damage. It also creates a permission structure for pro-science Republicans to find a way back from the brink. We have to encourage them. In the House, every district is up every two years. In your district, contact both of the major party candidates. If your state has a Senate race, contact those candidates too. Specifically mention the proposed OMB rule. Ask for two things: For this year’s appropriations process in August and September, ask that amendments be added to stop the implementation of the new rule. Those amendments should support peer-reviewed science and stop political interference. Looking ahead to next year, ask the Congressman/Congresswoman/Senator to work to hold hearings in 2027 on the importance and benefits of peer-reviewed science for health and prosperity. What hearings and amendments will accomplish Congress can use its investigatory power to summon heads of agencies and the director of the OMB. That will allow fact-finding regarding the consequences of this rule. Congress can override the rule through the appropriations process. They can write into statute a requirement to follow peer review and best scientific practices. In this way, Congress can stop the attacks on science. Postscript: Moving forward Now I have a request for you, to help me. As many of you know, I ran for Congress in order to save democracy and science. Although I did not win, that battle continues by other means. I met and heard from thousands of supporters both here in New Jersey and nationally. I learned that pro-science, pro-democracy activists have the potential to become a much greater force. In the weeks and months ahead, I will be building ways to harness that energy. I will be announcing those plans soon. In the meantime, an important step is to wind down the Congressional campaign, which has a few remaining bills to pay. Please help me retire that last debt.
Report: LeBron James to Cleveland is ‘Done’
The biggest story of the NBA offseason may have finally reached its conclusion. Although no official announcement has been made by LeBron James or the Cleveland Cavaliers, a new report suggests the four-time NBA champion has already made his decision.…
MAGA's attack on science is even worse than it looks
In my post on America’s 250-year anniversary, I argued that respect for the individual was the “secret sauce” in the U.S.’ long-lasting preeminence among nations. But it was certainly not the only factor. There were plenty of institutional innovations that helped the U.S. stay on top — economically, militarily, and in terms of the attractiveness of its society. One of these was American science. Today we take things like the modern research university, government grants for science, public-to-private research spinoffs, etc. for granted, but a lot of that infrastructure wasn’t there before World War 2. It was either invented or scaled up massively by the U.S. government in the postwar period, led by far-sighted scientist-bureaucrats like Vannevar Bush (pictured above). If you want to read about this history, a good place to start would be Jonathan Gruber and Simon Johnson’s excellent book Jump-Starting America. Those scientific institutions didn’t exist in a vacuum, however. They were backed by the U.S. government’s abiding faith in the power of science — and, even more fundamentally, by deep popular trust in the scientific enterprise. Science gave us radar and the atom bomb in wartime, and in peacetime it gave us plastics, vaccines, cheap food, and a thousand other things that made our lives easier. Science was also the driver behind American industry — chemicals, aerospace, telecommunications, computers, electronics, and so on. We owed science our jobs, our livelihoods, our comfortable living standards, and our greatness and power as a nation. It’s little wonder that both political parties, even as they fought viciously over other issues, were steadfast in their support of science. For a long time, the only people who distrusted science were a hippie fringe on the left who disliked modernity (or thought they did, anyway), who also disliked American industry and American power, and who subscribed to an early version of degrowth environmentalism. America’s scientific enterprise is still strong, especially compared to the systems in Europe, Japan, Korea, and other developed countries. It has lost a lot of ground to China in a relative sense, but a lot of that is because of China’s incredible growth; as China has poured untold amounts of money and talent into its research labs, spending and output have overtaken the U.S. by some measures. There are a few ways in which China’s rise creates problems for American science — for example, top scientists can choose to work in China instead of in the U.S. — and of course there’s the concern that China’s technological strength will help its military to reign supreme. But overall, China’s rise in science should be good for American science, since American scientists can use Chinese discoveries for free and build on them. The much bigger problem is that the scientific enterprise America built during and after World War 2 is now being threatened with absolute decline. The biggest problem, of course, is that much of the country — the Republican half — has basically lost faith in the scientific enterprise. To what degree this loss of faith is justified is an open question, and deserves to be discussed openly. But the larger point — that the system that powered American dominance is under threat — is true either way. Most Americans still trust science, but MAGA Republicans don’t There’s a myth, popular in right-wing circles, that scientists have lost the trust of regular Americans — either due to the increasingly left-wing composition of academic departments, or to misbehavior during Covid, or to DEI-related research taking over science, etc. This also fits with a wider narrative that Americans are losing trust in all of our institutions. But it just isn’t true. Poll after poll shows that on the whole, Americans still trust scientists and want to spend more on science. For example, here’s a Pew poll from late 2025 showing that although about a fifth of Republicans did lose confidence in science in 2020, two thirds still have at least “a fair amount” of confidence: That same poll found that scientists are among America’s most trusted groups — even better trusted than the military! In fact, Americans trust scientists more than people in most other countries do. Other polls show that although Republican trust in science has dropped somewhat, Republican support for spending more on science remains very strong: A Pew poll in 2023 found the exact same thing: So when MAGA types tell you about scientists losing their credibility, or a drop in trust in science, they’re only talking about themselves. Whatever left-wing politicization of science happened during the Biden administration — and there was definitely some of that — it was not enough to make most Republicans lose faith in the scientific enterprise, or favor research cuts in order to purge unwanted ideology from the system. That doesn’t mean I think progressives should continue down the path of politicizing scientific research. They should not, and Biden made real missteps in this area. Objectivity clearly matters for public trust of science in the long term. But as of right now, there’s no crisis of trust in science, except among the smallish minority of people who are running around screaming that there’s a crisis of trust in science. But despite science’s overwhelming popularity and public trust, Trump and his administration are launching an unprecedented and devastating attack on American science — cutting funding, and forcing science projects to undergo ideological review by government commissars. Trump’s comprehensive attack on science
Harvard scientists turn a silicon chip into a DNA writing machine
Scientists have created a silicon chip that can write dozens of DNA sequences simultaneously using electricity and water-based enzymes, offering a cleaner alternative to conventional DNA manufacturing. The breakthrough could eventually support portable DNA-writing devices and even massive DNA data storage, although new chemistry will be needed to scale the technology further.
Scientists discover how astrocytes help memories last
Some memories remain with us for years, shaping how we learn from experience and adapt to the world around us. Others disappear quickly, even when they once seemed important. Although scientists have long studied how memories are formed in the brain, far less is known about what allows certain memories to persist over time. A research team led by Dr. KOH Wuhyun at the Center for Memory and Glioscience within the Institute for Basic Science (IBS), together with researchers at the Korea Brain Research Institute (KBRI), has now discovered that astrocytes play a critical role in this process. Astrocytes are star-shaped cells in the brain that have traditionally been considered support cells for neurons. The study shows that these cells actively help determine whether memories can be maintained over long periods of time, revealing a previously unknown mechanism that supports long-term memory persistence.
Appendix B: Classifying European political parties
Classifying parties as populist Although experts generally agree that populist political leaders or parties display high levels of anti-elitism, definitions of populism vary. We use three measures to classify parties as populist: anti-elite ratings from the 2024 Chapel Hill Expert Survey (CHES), the 2023 Populism and Political Parties Expert Survey (POPPA) and the 2023 PopuList. […]
Is AMC Entertainment Holdings (AMC) A Bargain Following Its $350 Million Equity Raise?
AMC Entertainment Holdings (AMC) is back in focus after raising US$350 million through equity offerings. The company is using the cash to fully redeem its 2027 notes, extend major debt maturities and reshape its balance sheet. See our latest analysis for AMC Entertainment Holdings. Recent equity offerings and the full redemption of AMC Entertainment Holdings' 2027 notes have coincided with a sharp 90 day share price return of 68.75%, although the 1 year total shareholder return is still down...
Health or Hoax?
Although GLP-1s may cultivate confidence and belonging among gay and bisexual men, they can also reinforce idealized body types that can be unhealthy and socially exclusionary.
GTA 6 Could Skip 60 FPS Entirely, as Rockstar’s Insane Detail Forces a 30 FPS Lock Even on PS5 Pro
With GTA 6, Rockstar Games is set to raise the bar for what is possible to achieve on PlayStation 5 and Xbox Series X|S much like the studio did with Red Dead Redemption 2, but this is likely coming at a price. Although the highly anticipated next entry in the series is rumored to feature a performance mode running at 60 FPS, it is extremely unlikely this is real, as, according to the tech experts at Digital Foundry, the level of detail shown in the latest footage would make it very difficult to scale everything down to allow for 60 […]
Simon Leis's daughter reflects on her father's legacy, youth mental health advocacy
"We definitely knew there was a love-hate relationship with my father," says Julie Raleigh, on her father, Simon Leis's legacy. Although behind the headlines, Raleigh says that Leis was simply "Dad" to her, remembering him as a man who protected his family in the same way that he tried to keep Hamilton County safe throughout his time in law enforcement.
Not many ‘Iron Men’ are left in Major League Baseball
Pete Alonso played his 500th consecutive game this week, although if he wanted that to seem impressive to local fans, he probably picked the wrong city to play in. Alonso, of course, joined the Baltimore Orioles this past offseason. Their franchise record for consecutive games is also the big league record of 2,632 by true […]
📸 Where’s he pulled that from?!?!? Uzbekistan score a stunner
Although progressing is almost impossible for the Uzbeks purely because of their poor goal difference after the heavy defeat to Portugal, the Central Asians have by no means given up here. Eldor Shom...
MOMENT OF SCIENCE: How music can be interpreted differently
Music is a universal language, although how we perceive it can change from person to person.
Making Our Own Luck
We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.
Fox Sports renews Gold Cup rights, adds Nations League
Fox Sports is going to remain a player in the international soccer game for several more years to come. Although the rights for the 2030 World Cup are up for grabs, Fox made the announcement on Wednesday night that the Gold Cup, the CONCACAF championship tournament, will remain with the company. In addition, Fox is…
How should European scientists respond to the US AI kill switch?
Earlier in June, Europe’s worst fears of technological dependence were confirmed when the White House ordered the AI firm Anthropic to stop non-US citizens using its leading models. This kill-switch moment crystalised anxieties in Brussels that the continent, lagging the US on the creation of leading-edge AI models, is now a technological of vassal of Washington. The shock has specific implications for European scientists and universities. Some governments are now worried that with AI being integrated into labs, Donald Trump now has his finger hovering over an off switch for European science. “Having restrictions on this tool, it can have an impact on our own research,” said France’s research minister, Philippe Baptiste, at the VivaTech conference in Paris on June 18.Baptiste, himself a former academic, said that colleagues in mathematics had recently warned him they were now cut off from leading-edge US models, risking their work. “This model is not available anymore now because of the US restriction, and for the first time this had an impact on mathematics,” a field where large language models (LLMs) are making a significant contribution, said Baptiste. So, should European scientists avoid relying on US models in the future? Or would this be a self-harming overreaction? And how is AI being used in science, anyway? What happened?On June 12, it emerged that Washington, citing cybersecurity concerns, had ordered Anthropic to stop non-US citizens using two models: Claude Mythos 5, and Claude Fable 5, a version of Mythos but with guardrails to prevent abuse. Anthropic said Washington’s concerns were overblown. But forced to follow the order, yet with no way to check who was using the models, the company suddenly shut down access for everyone, US citizens included. There’s still no agreement on how to restore broad access. But last week, Bloomberg reported that select US companies, and the US government, still had access to Mythos despite the ban, but the EU’s cybersecurity agency Enisa had been shut out. Class division of researchersIn the longer term, access outside the US should be restored, said Marcel Salathé, co-director of the AI centre at the Federal Polytechnic School of Lausanne (EPFL), because a permanent restriction would be financially ruinous to US AI firms. “Even Trump will eventually budge to economic pressure,” he said.However, US AI firms might end up operating rather like banks, doing due diligence on users of their leading-edge AI models, he went on.European scientists are unlikely to fall foul of such checks, he said. But having a Chinese postgraduate in their lab, or doing a type of research the US disapproved of, could potentially result in access being denied. “It will create a sort of class division of researchers,” he said. More than frontier modelsHowever, successfully deploying AI in science is about far more than just having access to leading LLMs such as Mythos.Instead, many science-specific tools, most famously Alphafold, which predicts protein folding structures, require “far less” computing power to train than frontier models, well within the capabilities of European supercomputers, according to a recent analysis by the Arq Foundation, a Brussel-based AI think tank. Instead, tools such as Alphafold are possible because certain fields, like protein folding, weather prediction or astronomy, have large, clean, standardised datasets that can be used to train predictive models. Rather than compute, “data is the central constraint for AI for science,” the report says. For example, a less powerful physics model trained on CERN’s data “will be more valuable than the best model without certain data,” said Bengüsu Özcan, author of the report. European advantage?Europe could therefore steal a march by using its scientific data and infrastructure to create models US digital giants cannot. “They might actually match or go even beyond what these big [US] companies are doing,” said Özcan.Indeed, some European start-ups hope to create automated testing labs to create the kind of standardised data that could speed up the discovery of new materials. Materials scientists say there’s currently too little data to train models. AI scientistsHowever, even if the bottleneck for AI in science is often data, rather than compute, being at the mercy of the US for LLM access could still become a problem for European scientists. A new class of “AI scientists” based on leading LLMs is also emerging, Özcan’s report says.Unlike domain-specific tools like Alphafold, these try to automate day-to-day scientific work, by providing an overarching tool that coordinates specific models to synthesise existing literature, generate hypotheses or run analysis of data. The problem for Europe, however, is that these tools are sometimes based on US leading models. Google Deepmind’s AI Co-Scientist, for example, is built on Google’s Gemini LLM. Systematic failureThese scientific automation tools are still in their early stages, and still exhibit “systematic failures on scientific tasks,” Özcan’s report says. One of the problems is that the messy, day-to-day process of scientific discovery is largely not documented, meaning LLMs don’t have a good source of data to learn how scientists actually work. Meanwhile, some tasks, such as literature synthesis, don’t typically require access to leading edge models.However, the performance of AI scientific assistants could improve as companies such as Google pour resources into developing them. Rely on US“Unfortunately, for scientific assistants, there is not much we can do right now except rely on US frontier AI,” said Antoine Bosselut, a natural language processing expert based at EPFL. Chinese-built open models, which can run on local computers, lessening the risk of a shutdown, are touted as one alternative to US dependence. There’s also Mistral, once seen as Europe’s main AI hope, but the Paris-based company has seen its recent models fall behind in performance. But the Chinese alternatives are generally not as capable as US frontier AI models, said Bosselut, unless paired with fiddly, custom tools that allows them to act as independent agents. “Most scientists do not have the time,” he said. Don’t jump ship yetAlthough the kill switch moment is seen a warning shot for European scientists, it doesn’t mean labs should abandon US AI tools immediately. “I do not think the right response is simply to abandon US-based models and systems under the banner of sovereignty or independence,” said Mattias Björnmalm, secretary general of the Cesaer university association. “That would be an overreaction.”Related articlesEuropean sovereignty in AI requires ‘ugly trade-offs,’ say experts Robotic lab start-up makes case for €500M EU-funded materials testing facilityAI in science: is it useful? Instead, European researchers need to ask themselves whether they’re becoming dependent on technology that could be turned off in Washington, said Özcan. “They might not see this today, but they should really start asking this question,” she said. European researchers need a plan B, said Salathé. “I would recommend to every researcher, very proactively explore alternatives.”Own toolsIn addition, Björnmalm and others want European research institutions to develop their own scientific AI tools.Instead of signing AI deals with US digital giants, European universities should be using this money to create their own models, which may end up being superior for research, said Sabine Leonelli, an expert on the use of AI in science at the Technical University of Munich. “Universities in Europe seem to be happy to sign commercial contracts with US companies on the assumption [their AI tools] are better,” she said. But US frontier LLMs are typically opaque, and have been developed without independent scientific input, she said. “This is not good enough for science.”Last year, Swiss researchers released Apertus, an LLM designed to be completely transparent, from its development methods to its training data. The idea is that this makes scientific tools built on top of the model far more reproducible than with closed, commercial alternatives.“Europe needs more of this: serious capacity-building that gives researchers, universities and companies credible options,” said Björnmalm.
World Cup: can big sports events bring us together? Recent history says yes
Although fleeting, sporting events have the enduring power to crumble divisions and highlight the beauty of kinship
Moved to Minneapolis for work; why I love living here
I moved from the Bay Area to Minneapolis for work. Although I didn't know anyone in the city, I've quickly grown to love the vibrant community.
Foldable iPhone 'Ultra' Set for Production in July Despite Hinge Issues
Apple's rumored foldable iPhone "Ultra" is expected to begin mass production at the end of July, according to a new report by The Elec. Although some recent reports suggested the book-style device could be delayed due to hinge-related issues, the Korean outlet's sources indicate that Apple is still targeting a September launch as planned.
Appendix B: Classifying European political parties
Classifying parties as populist Although experts generally agree that populist political leaders or parties display high levels of anti-elitism, definitions of populism vary. We use three measures to classify parties as populist: anti-elite ratings from the 2024 Chapel Hill Expert Survey (CHES), the 2023 Populism and Political Parties Expert Survey (POPPA) and the 2023 PopuList. […]
Golden Knights unveil preseason schedule ahead of 2026-27 season
Although the next three months are sure to bring plenty of changes to the Vegas Golden Knights, fans now know the first opportunity they will get to see these changes on the ice firsthand.
How menopause radically changes the brain
The brain undergoes a full renovation during menopause. Although these changes are profound, we’re learning that the long-term impact needn’t be all bad
China’s rare earth dominance highlights global supply chain vulnerabilities
China’s dominance in rare earth processing and magnet manufacturing has given it significant influence over global supply chains for products ranging from electric vehicles and wind turbines to consumer electronics and advanced defense systems, The New York Times reports. Although rare earth minerals are mined in several countries, China controls much of the refining and […]
Border Report Live: New World screwworm adding to overburdened, under-funded US health system
Although the chance of New World screwworm infecting humans is extremely rare, Dr. Tyler Evans, CEO and co-founder of the Wellness and Equity Alliance tells Border Report Live that the threat is ad…
Is SMIC N+3’s Metal Pitch Smaller than Intel 18A’s?
Almost four years ago, we published that SMIC had started shipping 7 nm (N+1) chips. Now, SMIC is shipping its third-generation 7 nm (N+3) process in Huawei’s Kirin 9030, with a minimum metal pitch of 32.5 nm, about 10% tighter than the 36 nm minimum metal pitch shipping in Intel’s latest Panther Lake CPUs on 18A. The headline is true, but incomplete cherry picked metric. N+3 reaches the density of TSMC N6 through aggressive DUV multi-patterning and design-technology co-optimization (DTCO), but it pays for that in complexity, efficiency and process control. We found this and more in our reverse engineering and teardown where we cover SMIC’s N3 process technology, Huawei’s packaging, memory, architecture, and more. SemiAnalysis has been building a state-of-the-art teardown lab in Oregon capable of analyzing the world’s most advanced and important chips over the last year and half. We have already generated revenue on advanced datacenter chip teardowns including our recent reverse engineering of a major TSMC customer’s COUPE CPO optical engine + EIC 3D stack. This is the first public report from the SemiAnalysis Teardown Engineering & Evaluation Lab, or STEEL for short. The lab is aggressively scaling up and out and we’re excited to announce it publicly. This is a bit of inconvenient timing for TechInsights as they are private equity owned and currently being sold while having enjoyed virtually no credible competition for decades. This has led to TechInsights underinvesting in CAPEX. SemiAnalysis exceeds TechInsights in revenue despite no venture or private equity ownership and being founded only 6 years ago. Because we have no external investors and are founder led, we move faster, build faster, and we can release client chip teardowns for free regularly, while focusing on datacenter for our major clients. Here’s the first public image from our lab, the HiSilicon Kirin 9030 Pro SoC: This report will detail our teardown of the Kirin 9030 and our findings on SMIC’s N+3 process, the most advanced in China. For comparison, we’ll show our teardown of the MediaTek Helio G99, made on TSMC N6. Through this comparison, we can look at the effect of export controls – SMIC N+3 and TSMC N6 are comparable nodes, but one is heavily export-controlled, the other free to use the West’s most advanced equipment. Here we see both China’s progress and constraints. SMIC N+3 reaches TSMC N6-class logic density, but it requires far more aggressive DUV multi-patterning, so it does not match N6 on process maturity or cost. The Kirin 9030 Pro performs similarly to three-year-old Android flagships, and trails far behind the current flagship SoCs from Apple, Qualcomm, MediaTek, and Samsung. The efficiency gap is even wider. Export controls have not stopped Huawei and SMIC from shipping advanced silicon, but they have forced a different path. Without EUV, SMIC is leaning harder on DUV multi-patterning, DTCO, and increasingly complex integration. The roadmap continues forward through tighter design rules and backside power, but each step adds cost and process risk. Huawei’s τ scaling and LogicFolding show another path: stacking active logic and recovering density through advanced packaging and system-technology co-optimization (STCO). To understand the Kirin 9030, we must first understand Huawei’s SoC history. HiSilicon is Huawei’s chip design arm, responsible for the Kirin smartphone SoCs, Kunpeng server CPUs, Ascend AI accelerators, and switch/router networking silicon. Before export controls, Huawei was TSMC’s largest customer – the only customer on TSMC’s first EUV node, N7+, and among the first on N5, alongside Apple. That ended in late 2020. Huawei switched to Qualcomm SoCs in its flagship smartphones, though export controls limited them to 4G-only variants. In late 2023, Huawei returned to in-house silicon with the Kirin 9000s, a successor to the Kirin 9000, fabricated on SMIC N+2 instead of TSMC N5. In the following years, they released the Kirin 9010 and 9020 on the same N+2 process. These chips used Huawei’s in-house TaiShan CPU cores and Maleoon GPU. We have not torn down a Kirin 9020 ourselves, so the predecessor die shot is from Kurnal. The die shots show how Huawei spent its silicon budget: which functional blocks are where, and how their areas compare to the predecessor. First, a quick guide to the major blocks on the die. The total die area is nearly identical, but the 9030 uses that area more aggressively. A denser process lets Huawei fit an extra middle CPU core, more GPU and NPU cores, and larger caches into the same footprint. In contrast, the Helio G99 is a much smaller, low-cost SoC, built for budget smartphones rather than a flagship device. While the Kirin 9030 is ~140 mm², the G99 is only ~29 mm², roughly one-fifth the area. The underlying TSMC process technology, however, is directly comparable as a baseline for analyzing SMIC’s. The Kirin 9030 is an evolutionary refresh, not a clean-sheet design. Its CPU, GPU and NPU cores carry over the 9020’s families, and the gains come from three levers: the SMIC N+2-to-N+3 process step, DTCO and floorplan work, and incremental microarchitecture. Area is where the first two show up, and the 9030 scales well here. Performance and efficiency are the harder test. Huawei’s design holds up better than its node would suggest, but the chip still trails, both because N+3 sits behind the leading-edge nodes and because its cores, while competent, remain a few generations behind the newest designs. The new prime core is an incremental update. The main changes are a 10% frequency increase from 2.5 GHz to 2.75 GHz and a doubling in the L2 cache from 1 MiB to 2 MiB. Despite the increased cache, the core size decreased by 7.6%. Excluding the private L2 cache, the core size decreased by 21%. This is a large reduction for an incremental node. Compared with the TaiShan New V120 core in the Kirin 9020, the Kirin 9030’s middle core is almost unchanged architecturally, yet each core shrinks by ~22%. Most of that comes from the move from N+2 to N+3, with layout likely accounting for the rest. Visually, the most noticeable change is the increase from 3 middle cores to 4. There is also a 20% increase in the shared L3 cache of the big cluster. This helps to improve multi-core performance without sacrificing much in terms of area. Even with each core shrinking, the big CPU cluster’s total area is essentially unchanged. The per-core savings went back into an additional middle core and larger caches. The tiny cores shrank less than the prime core (excluding its L2 cache) and less than the middle cores. This is likely because fixed overhead is a larger share on a small core. We cannot resolve any architectural changes from the die shot alone, but the per-clock and efficiency gains shown below point to more than pure process and layout scaling. The area reduction was offset by a doubling of the shared L2 cache from 2 MiB to 4 MiB, leaving the total tiny CPU cluster area slightly larger. Area is the easiest improvement to see from a die shot, but it is only one part of PPA (power, performance, area). For modern logic, power and performance matter just as much, and often more. Since Dennard scaling broke down in the mid-2000s, voltage and frequency have not scaled in step with transistor dimensions, so each node has had to fight harder for gains in performance and efficiency. The starkest comparison is not Kirin 9020 versus Kirin 9030 Pro. Apple’s efficiency cores run circles around Huawei’s prime core. Apple’s low-power core delivers 20% higher integer performance while drawing only 1 W, compared with 4.5 W for Huawei’s prime core. N+3 matches TSMC N6, but N6 is several generations old. Apple and Qualcomm build on N4 and N3P, which are denser and sit on a better voltage-frequency curve, giving them a larger transistor budget and more performance per watt. The 9030’s own cores did improve. The middle and tiny cores gained 17% and 14% in per-clock integer performance over the 9020, with floating-point flat on the middle core and up 11% on the tiny. The tiny core improves cleanly, with performance rising while power falls and efficiency increases by 45% in integer and 24% in floating point. The middle core is mixed: integer performance rises but power rises faster, cutting integer efficiency by 7%, while lower power lifts floating-point efficiency 16%. Per-clock gains at the same or lower frequency are microarchitectural, so the cores are tuned, not just shrunk. Both also failed to hold their rated maximum frequencies, pointing to thermal, power, or stability limits. Per clock, the middle core sits around Arm Cortex-A720 and the tiny core near the Cortex-A520; absolute performance trails because Huawei clocks them much lower. The prime core is roughly Cortex-X2 class per clock, a 2021 design. Apple’s 2020 M1 Firestorm core is still 35% higher per clock and 57% faster in absolute integer performance at a similar 4.5 W. The current leading edge is further ahead again: the Apple M5 P-core is 60% higher per clock and 2.7× faster, the Arm C1 Ultra 45% higher and 2× faster. Matching older high-end cores per clock is a genuine design achievement. What Huawei cannot match is the voltage-frequency curve and transistor budget of leading-edge nodes, which let Apple, Qualcomm and others spend more transistors in the same area on wider cores, larger caches and deeper buffers while running at lower voltage. Huawei’s LogicFolding roadmap is one answer, stacking active logic to recover density and shorten signal paths. We return to it later. The GPU compute units (CUs) changed more visibly than the CPU cores, moving to a more rectangular layout for both the arithmetic logic unit (ALU) clusters and the CU overall. Even with ray-tracing support added, a CU shrank ~28%. However, that shrink is offset by the increase from 4 to 6 CUs and the area outside the CUs grew 33%. Overall, the GPU cluster is larger by ~10%. The GPU is where Huawei makes its biggest gains. The Maleoon 935 is not competitive with current flagships, but it is a large step up from the 920 and reaches older-flagship territory. In 3DMark it is 70% faster in Wild Life Extreme (WLE) and 79% faster in Steel Nomad Light (SNL) than the 920; with 11% higher clocks and 50% more CUs, the ~67% theoretical uplift roughly matches WLE and is beaten by SNL. It edges ahead of the Snapdragon 8+ Gen 1 in WLE and SNL, and the Dimensity 9200 and Apple A16 in WLE, but stays far behind newer parts: the Snapdragon 8 Elite Gen 5 and Dimensity 9500 are ~2.4–2.6× faster in WLE and ~3.2× faster in SNL. The Maleoon 935 is Huawei’s first GPU with hardware-accelerated ray tracing; there it lands slightly ahead of the Exynos 2200, and on par with the Apple A16, with current flagships up to 3.7× faster. The Neural Processing Unit (NPU) saw the largest structural changes of any block, moving from a Lite and a Tiny core in the Kirin 9020 to a Lite and two Tiny cores in the Kirin 9030. Both core types also show significant layout changes. This is a reversal in Huawei’s NPU design. The Kirin 9000 5G, its last flagship chip on TSMC N5, used two Lite and one Tiny core. The series of SoCs on SMIC N+2 moved to one Lite and one Tiny core, likely for area savings. With the Kirin 9030, Huawei has shifted back toward a larger multi-core NPU cluster, but with the additional area going to a Tiny core rather than a Lite core. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Before diving into the process stack, the package and memory are worth separating from the SoC itself. The Pro variant of the Kirin 9030 carries 12 GB of Samsung DRAM, with two stacks of four dies each. The dies were identified as the K4L2E165YD, a 12 Gb LPDDR5X-9600 device fabricated on Samsung’s 1a node, the fourth generation of its 10 nm-class DRAM after 1x, 1y and 1z. 1a has shipped in volume since 2022, so this is current memory rather than older-node inventory. The 16 GB Pro Max variants we obtained were found with both CXMT and Samsung packages. The CXMT package is marked CXDD7JEDM, with two stacks of four dies, packaged in week 45 of 2025. The inferred die dimensions from X-ray computed tomography (CT) are consistent with a known density of ~0.3 Gib/mm² for the CXMT G4 process, roughly equivalent to other manufacturers’ 1z processes. The Kirin 9030 uses a typical integrated package-on-package (iPoP) stack: multiple DRAM dies in a memory package sit above an organic redistribution layer (RDL) interposer, which sits above the SoC and package substrate. The full package is then mounted to the printed circuit board (PCB) through ball-grid array (BGA) solder bumps. The memory package substrate is a thin bismaleimide-triazine (BT) laminate carrying the LPDDR5X stack. The organic RDL interposer over the SoC routes the PoP signals around the die and carries possible dummy thermal copper pillars. The package substrate, a thicker Ajinomoto Build-up Film (ABF) build-up over a BT core, fans the flip-chip bumps out to BGA pitch and embeds the power planes. The whole stack is organic. The only silicon is the SoC and the LPDDR5X dies; there is no silicon interposer. Keeping it all-organic brings the package’s coefficient of thermal expansion (CTE) close to the PCB’s, reducing board-level warpage, and avoids the cost of a silicon interposer the SoC’s bandwidth does not need. In an iPoP stack, the memory package connects to the organic RDL interposer through an array of solder bumps. Underfill fills the gap around those bumps, adding stiffness and protecting the joints from mechanical stress. The Pro and Pro Max variants differ here, which we cover behind the paywall. The die shot and architecture tell us how Huawei allocated its silicon budget. The process tells us what SMIC can manufacture. We use the Helio G99 as the process reference for TSMC N6. Both SMIC N+3 and TSMC N6 are evolutions of previous 7 nm-class nodes. We used targeted TEM cross-sections through logic and memory regions, imaged in both fin-cut and gate-cut directions. Each cross-section caption gives its horizontal field width (HFW), the real width of the imaged area. We start at the transistor fins, then move up through standard cells, local interconnect, and SRAM. SMIC has not overtaken Intel or TSMC. It uses aggressive DUV scaling and DTCO to reach N6-class density, but that density doesn’t translate into comparable performance and efficiency, for two reasons: the node gap to leading-edge nodes, and Huawei’s core designs. Fin Profile One of the most important knobs in a FinFET process is the fin profile: the shape of an individual fin and the channel where current passes from source to drain. The ideal fin is tall, narrow, and nearly vertical. A taller fin increases effective channel width, while a narrower fin improves electrostatic control by thinning the body the gate must control. Push either too far, and the process pays for it: weaker drive current, fragile fins, taper, footing and line-edge variation that hit yield and device variability. The Intel 22 nm, 14 nm, and 10 nm fin cross-sections show how FinFET nodes have improved over time. 22 nm fins were a first-generation structure, relatively short, wide and strongly tapered. The shape limits current density and reduces gate control uniformity across the height of the fin. At 14 nm and 10 nm, Intel pushed the fins taller and narrower while also making the sidewalls more vertical. Rather than shrinking the device, these changes increase the effective channel width per fin and improve electrostatic control. The trade-off is that taller fins at tighter pitches are much more difficult to manufacture. Now, let’s compare the Helio G99 on TSMC N6 with the Kirin 9030 on SMIC N+3. Both processes are in the same class, with fin pitch of 30-32 nm on N+3 and 34 nm in our N6 cross-section. The pitch for N6 is especially interesting as N7’s HD library is generally listed with a 33 nm fin pitch, and N6 did not shrink pitches directly. Its density gains came from DTCO instead of tighter pitches. The 34 nm pitch was stable across our sampled region and serves more as a comparison against the SMIC N+3 we have not investigated further. Pinning down N+3’s fin patterning scheme takes more than one core unit. The CPU cores show a dense ~32 nm pitch, with the pitch between N-P fin pairs alternating between 78 and 88 nm. Logic alone may be consistent with dual-pitch mandrels of 120 and 110 nm, but this is a complex and unusual approach. Combining the pitch from the the 8T SRAM, which has more complex repeat unit, with the CPU core sequence allows us to reverse engineer the patterning steps with more confidence. As both the logic and SRAM should share the same base grid, a single CD mandrel lithography pattern with 128 nm pitch undergoing SAQP produces a die-wide ~32 nm grid (128 nm/4), which supports the pitch sequencing seen in both logic and SRAM cells. In the sampled cross-sections, N+3 shows a taller, narrower, higher-aspect-ratio fin than N6. The measured fin aspect ratio is ~9.5:1 on N+3 versus 7.8:1 on N6. N+3 also shows less top rounding, with an estimated radius of ~2 nm, compared with 2.8 nm on N6. Even though the fin widths differ, the ratio of top rounding to fin width tells the same story, with N+3 at 0.37 and N6 at 0.44. In a geometric sense, lower is better; a perfectly rectangular fin would have no top-rounding penalty. These are single-digit-nanometer features measured from a handful of cuts, so treat the absolute numbers as approximate. The important result is the relative gap: N+3’s fins are consistently taller, narrower and less rounded than N6’s. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Standard Cell A standard cell is the basic building block of chip layout: a fixed-height row pairing one NMOS and one PMOS transistor that share a gate, tiled in a grid to build logic blocks. The key dimensions are contacted gate pitch (CGP), cell height (CH), fin count, and the lower-metal routing grid. To measure density, we use the Bohr metric: a weighted average of NAND2 gate area (60%) and scan flip-flop area (40%). This represents a realistic mix of combinational and sequential logic. This metric has its limitations, especially for complex cell layouts like TSMC’s FinFLEX, which alternates cells with different fin counts. Even so, it is the best metric for a pure process-level comparison. Another important measurement is the fin pitch; it refers to the distance between two fins of the same transistor. In a FinFET process, multiple fins are used in each transistor to increase the drive current and thus performance. TSMC N6 ships both a high-density (HD) library with 2 PMOS and 2 NMOS fins per cell, and a high-performance (HP) library with 3 of each. More fins under the shared gate mean more effective channel width. HP cells switch harder at the cost of area. Designers mix the two on a die, primarily spending HP cells on timing-critical paths, and matching their PPA targets. In the Cortex-A55 core of the Helio G99, we found a cell height of 240 nm for the HD cell. MediaTek has used HD cells in the G99 to minimize die size and thus cost. As an SoC for budget smartphones at ~$100, this is essential. By contrast, we found only one library in the Kirin 9030, with 2 NMOS and 2 PMOS fins. This suggests a narrower library strategy than TSMC N6, where both HD and HP libraries are widely used. This likely reflects the smaller customer base and the more constrained domestic design and electronic design automation (EDA) ecosystem. In all three CPU cores of the Kirin 9030, we found cell heights of 228 nm, 5% smaller than on N6. This is also a reduction of 9.5% over SMIC N+2’s cell height of 252 nm. SMIC N+3 and TSMC N6’s HD library both feature a CGP of 57 nm. For SMIC, this is a 9.5% shrink over N+2. In the past, CGP and cell height alone may have been enough to compare transistor density. Now, however, we must consider scaling boosters and DTCO as well. SMIC’s density gain does not come from EUV. It comes from using every available DTCO booster aggressively. First is fin depopulation: reducing the number of NMOS and PMOS fins in each cell. The first FinFET nodes started with 3 or 4 fins for each transistor. SMIC N+3 and TSMC N6 HD both use only 2 fins per transistor, trading drive strength for density. Next is contact over active gate (COAG). By landing the gate contact directly over the active gate, instead of out over the isolation region, the cell height drops. N+3 integrates COAG while N6 does not. Our N+3 gate-cut cross-sections indicate COAG, with the gate contact sitting over the active region, while N6 shows an off-gate contact. Last is single diffusion break (SDB). Diffusion breaks are inserted between cells in the same row to provide electrical isolation, but they also introduce local layout effects (LLE), layout-dependent shifts in electrical characteristics. In the past, a double diffusion break was used, consuming the space of two CGPs. SMIC N+3 and TSMC N6 instead use SDB, saving area but increasing LLE sensitivity. This must be controlled at the process level and accurately modeled in the process design kit (PDK) so that EDA tools can account for it. Overall, SMIC N+3 has a transistor density of 113.4 MTr/mm², slightly above TSMC N6 at 107.7 MTr/mm². Even without EUV, SMIC has achieved density beyond TSMC’s mature N6 node which utilizes EUV. Metal Stack The smallest critical dimension in the teardown is M0; SMIC N+3 uses a 32.5 nm local metal pitch. That is smaller than the 36 nm M0 pitch on Intel 18A in Panther Lake. However, this does not mean that SMIC has a better process than Intel 18A or TSMC N3P. M0 is a local intra-cell routing layer. Its usefulness depends on the full interconnect stack: M1 and M2 pitch, track count, via and line resistance, design rules, mask count, overlay control, and routing flexibility. The 32.5 nm M0 is consistent with self-aligned quadruple patterning (SAQP), whose four-population line-width loading we read coarsely as alternating widths of 21.5 to 24 nm; M1 and M2, at 38 and 40 nm, are consistent with self-aligned double patterning (SADP), a single A/B split. On TSMC N6, M0, M2, and M3 sit at a relaxed ~40 nm and are consistent with SADP-class double patterning, with no need for quadruple patterning. That said, we measure M2 for example at ~43 nm, likely inflated by sparse routing. We do not assign any specific layer to EUV from our cross-sections; the distinction we can draw is double versus quadruple patterning, not lithography wavelength. Transistor-level density in the front-end-of-line (FEOL) sets an upper bound, but the design is ultimately limited by what the interconnect stack can route. The lowest metals are the most important for standard-cell density, but the semi-global and global layers determine how usable that density is at the block and chip level. Two axes are commonly used for chip cross-sections: the fin-cut and the gate-cut. The micrograph above is a fin-cut and shows metals 0 through 3. This axis lets us see the even-numbered metals, with M0 right above the fins. There are two kinds of M0 lines. The first are the power rails; these are wide wires for the VDD and VSS running horizontally at the top and bottom edges of each standard cell. The wide wires measure 55 nm across, more than double the other M0 lines. Their width minimizes resistance and reduces IR drop. The second kind are intra-cell wires, short segments within the cell that connect terminals to M1. These have alternating widths between 21.5 and 24 nm. The M0 pitch is 32.5 nm, a 19% reduction versus N+2 and N6. At this pitch, DUV patterning requires more aggressive multi-patterning, increasing mask count, overlay sensitivity, process complexity and cost. M0 is below what a single DUV-defined spacer (SADP) can resolve, so SMIC cascades a second spacer step (SAQP). The cross-section reflects the cost: the M0 trenches are visibly more re-entrant (narrower at the bottom than the top) than M1 or M2 on the same chip and carry a bright barrier-rich foot where the trench meets the etch-stop layer. That shape is partly the intended damascene profile, as a slightly narrow bottom helps void-free copper fill, but its magnitude at M0 is driven by the tight pitch and the higher trench aspect ratio. Intel 18A supports an M0 pitch of 32 nm, although Panther Lake has only shipped with a looser 36 nm pitch. This is due to Intel’s heavy usage of HP libraries. Among leading-edge nodes, 18A has the loosest M0 pitches due to PowerVia. With power routing moving to the backside, congestion is reduced, and the entire front-side metal stack can be used for signal routing. M2 is the first true inter-cell routing layer. It runs horizontally like M0 but spans across multiple cells to carry block-level signals. The M2 pitch sets the cell’s track height – the number of M2 tracks that fit between the VDD and VSS rails, defining what the library calls a 6-track or 7.5-track cell. This layer is the most important, limiting the routing of entire blocks. SMIC N+3 features a 5.7-track cell. The M2 pitch is 40 nm, a 5% decrease over N+2 and the same as N6. This shrink keeps the pitch at the edge of what is possible with double patterning. Future nodes will need to increase the number of masks for M2 as reducing the number of tracks is much harder due to the limitations in routing. The micrograph above is in the perpendicular direction, the gate-cut, and shows metals 0 through 4. This allows us to see and measure the odd-numbered vertical metal layers. The M1 pitch is 38 nm, 9.5% less than N+2 and 33% less than N6. The M1-to-gate ratio matters because it sets local routing flexibility. N+2 and N+3 use a 3:2 ratio, while N6 uses a 1:1 ratio, explaining the huge differences in M1 pitch. The more M1 lines there are compared with the gates, the more flexibility there is for power and signal crossing within the cell. Routing flexibility enables more complex and better cells. Clean fractional ratios are also preferred as a grid is periodic and improves layouts. The 3:2 ratio gives SMIC more local routing flexibility than a strict 1:1 grid, but it also complicates layout and patterning. This is a DTCO choice, with SMIC increasing process complexity to recover density and routability without EUV. This 3:2 ratio is not very popular in the leading-edge nodes. TSMC has only used it on N7+, the N5 family, and the short-lived N3(B). They have switched back to a 1:1 ratio for N3E. Intel has only used it on the 10 nm/Intel 7 family, with Intel 4, 3 and 18A all using a 1:1 ratio. Samsung is the only one still using a 3:2 ratio at the leading edge, using it in the SF4 and SF3 families. It remains to be seen if SMIC will remain at a 3:2 ratio or move to a 1:1 ratio with its future nodes. The industry is still actively exploring these local-routing ratios. At VLSI 2026, imec will be presenting work on even higher ratios, including a 2:1 scheme that can reduce area by up to 14%. We will be covering the conference in a future newsletter article. Subscribe We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. The final local interconnect layer for N+3 is M3, with a pitch of 44 nm. The M3 pitch is the same as on N+2 and 10% larger than on N6. The semi-global layers carry the majority of block-level signal routing. They have a coarser pitch than the lower local layers. On leading-edge nodes, they are designed to sit at the limit of DUV single patterning. M4 through M11 pitches were found divided between 80–82 nm (M4–M6), 128 nm (M7–M10), and 148 nm (M11). Given limited sampling, it is possible these are divided further in dense routing areas. At the top are two giant metal layers, M12 and M13. These have kept the same pitches as N+2 at 1920 nm and 4600 nm respectively. While the lower layers’ pitches are generally fixed by the process and library, the upper layers vary much more in pitch and count, depending on the design. Even two smartphone SoCs on the same process can have wildly different metal stacks. The Helio G99 carries fewer routing layers, reaching coarse metal pitches of 850 nm by M9, while the larger and higher-performance Kirin 9030 keeps fine pitches until M11. SRAM At the leading edge, SRAM is much more difficult to scale than logic. TSMC’s latest nodes have seen little to no bitcell scaling, while logic still has more DTCO levers to pull. While looking for other logic libraries in the GPU compute units, we stumbled upon the SRAM. The most common type of SRAM has 6 transistors (6T), but this cell had 8 transistors (8T) instead. 8T SRAM adds two transistors to form a dedicated read port. Unlike a 6T cell, where reading disturbs the storage, the decoupled read port removes read-disturb, improving read stability and letting the cell be pushed harder for performance. At first glance, the cut looked like an unusual logic library, with each cell row having 3 fins of one polarity and 5 fins of another. The rows also alternated in orientation. Energy-dispersive X-ray spectroscopy (EDS) resolved our confusion. The cut had not landed on the GPU logic, but on the SRAM macro beside it. The unusual fin pattern was due to the SRAM library. We return to EDS in the process flow analysis behind the paywall. SRAM libraries are not like traditional logic libraries. Due to the unequal number of PMOS and NMOS transistors, they require specialized rules and layout libraries. They do not need the flexibility of logic libraries, so they are hyper-optimized for one purpose: dense, reliable memory. The SRAM cell we found is a 1:2:2-2:2 cell. This means there is 1 fin per pull-up (PU) PMOS transistor, and 2 fins per pull-down (PD) and pass-gate (PG) NMOS transistor. These 2 PU, 2 PD and 2 PG transistors would usually form a single 6T high-current cell (HCC). An 8T HCC adds a read-pull-down (RPD) and a read-pass-gate (RPG) NMOS transistor, each with two fins. We measured a cell height of 406 nm, which brings the bitcell size to 0.0463 µm². That is a theoretical peak density of 21.6 Mib/mm². We estimate that a 6T HCC would have a cell height of 292 nm and a size of 0.0337 µm². This is ~12% larger than a 6T HCC on Intel 3 and 4. We also estimate the 6T high-density cell (HDC) to have a cell height of 228 nm and a size of 0.0260 µm². This is coincidentally the same as the logic standard-cell height measured earlier. The estimate puts the cell near Samsung 7LPP/5LPP and slightly below TSMC N7/N6. That is a theoretical peak density of 38.5 Mib/mm². 6T HDC is arguably the most important cell as it is used for the largest caches in a chip, the L3 caches and system-level cache (SLC). Both the Kirin 9020 and 9030 have split the SLC into 4 banks to raise total SLC bandwidth. In the Kirin 9030, the SLC increased from 2 MiB to 3 MiB per bank. Correspondingly, the number of arrays within the bank also increased by 50%, from 16 to 24. Each array can store 128 KiB and forms an orderly pattern on the die shot. From the Kirin 9020 to the Kirin 9030, the area of a 128 KiB SLC array decreased from 0.0477 mm² to 0.0392 mm², an 18% shrink. The achieved density is 25.5 Mib/mm², 66% of the theoretical maximum. While the SLC was quite similar across both chips, the L3 has seen some major changes, particularly in terms of its layout. The total capacity also went up from 10 MiB to 12 MiB. Much like the SLC, the L3 is also split into 4 banks. In the Kirin 9020, an L3 bank consisted of 16× 128 KiB arrays and 16× 32 KiB arrays. However, an L3 bank in the Kirin 9030 instead consists of 48× 64 KiB arrays. In the Kirin 9020 L3, a 128 KiB array was 0.0513 mm² and a 32 KiB array was 0.0154 mm². The size of the 128 KiB array is different on the L3 and SLC as the assist circuitry for the two arrays differs depending on their purpose. In the Kirin 9030 L3, a 64 KiB array is 0.0210 mm². Although not a like-for-like comparison, normalized for capacity, it is 18% smaller than the 9020’s 128 KiB L3 array and 31% smaller than its 32 KiB L3 array. The achieved density is slightly lower than the SLC, at 23.8 Mib/mm², 62% of the theoretical maximum. Unlike the L3 and SLC, the prime cores’ private L2 cache uses a 2-bank design. As the prime cores’ L2 is latency-critical, it likely uses 6T HCC instead of 6T HDC. The 9020 has 16 arrays in each bank while the 9030 has 32. Each array has a capacity of 32 KiB. A 32 KiB array in the L2 shrank from 0.0171 mm² to 0.0142 mm², ~17% smaller. The density is 17.6 Mib/mm², ~59% of the theoretical maximum for 6T HCC. SRAM scaled well from N+2 to N+3, shrinking by ~19%, close to the theoretical logic shrink. The caveat is that N+2’s bitcells were unusually large, bigger than comparable 7 nm-class nodes, so part of the gain is catch-up rather than true scaling. With the insights from STEEL’s teardowns, we will be doing a deep dive into SRAM in a future newsletter article. Subscribe Everything above came out of a single STEEL teardown: die annotation, block-level area analysis and TEM cross-sections through logic and SRAM. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Future Roadmap The same cross-sections that pin down N+3 also show where SMIC can go next. Although N+3 is already close to the practical limits of DUV multi-patterning in several layers, SMIC still has a few scaling levers left. A theoretical N+4 would likely start with cell height. N+3 uses 5 M0 tracks between its power rails. Moving to 4 M0 tracks, as on SMIC N+2 and TSMC N6, could reduce cell height by roughly 15%. The routing grid is only one side of the shrink; the front end also must fit into the smaller cell. One possible FEOL lever is reducing the p-to-n isolation spacing from two diffusion grid units to one. Intel used this scaling booster on Intel 4, and TSMC did so on its N3 family. This path trades layout flexibility for density. Fewer M0 tracks reduce local routing resources, while tighter p-to-n spacing raises integration and design-rule difficulty. M2 is also constrained by the cell height shrink. For SMIC to maintain a ~5.7-track cell, M2 would need to move toward ~35 nm. That would move another layer into SAQP territory. SMIC could also reduce the CGP from 57 nm to 54 nm. Intel reached a similar CGP on Intel 10 nm/Intel 7 without EUV. The local interconnect is also tougher. If SMIC keeps the 3:2 M1-to-gate ratio, M1 would need to shrink to 36 nm and would likely require SAQP as well. If SMIC moves to a 1:1 ratio, M1 could relax to 54 nm, but it would give up routing flexibility. Under this theoretical path, we estimate that SMIC N+4 could reach a cell height of 198 nm and a CGP of 54 nm, implying a Bohr density of 137.8 MTr/mm², on par with TSMC N5 or Samsung SF4. However, the difficulty is cumulative. Each step is individually plausible, but together they make N+4 harder than the transition from N+2 to N+3. It will likely take longer, cost more, and carry less process margin. A theoretical N+5 would require a larger integration shift. One possible path is backside contacts (BSCon), moving power routing and source/drain contacts to the backside, which would reduce front-side routing pressure and enable another reduction in cell height. The front-side metal pitches could relax to reduce the process complexity. M0 would likely relax slightly to ~34 nm, and M2 and M4 pitches could relax further. CGP is unlikely to shrink much further. Even with EUV, 48 nm has been the practical limit for yield and process control. This approach would allow N+5’s cell height to fall to 170 nm and its CGP to 53 nm. This implies a Bohr density of 163.6 MTr/mm², on par with Intel 18A’s HP library. However, this would not make N+5 cost-competitive with the leading edge. It would reach a similar density through a much more expensive route. The integration difficulty rises sharply, with new process flows for backside alignment, wafer thinning, contact reveal, and backside metallization. Past this point, standard density and interconnect scaling become increasingly unattractive. That is where Huawei’s roadmap stops looking like a normal foundry roadmap and starts looking like a packaging roadmap. At ISCAS 2026, Huawei unveiled its tau (τ) scaling law, reframing process scaling in the time domain. τ is the time cost of data movement and processing: switching delays in transistors, RC signal propagation delays in circuits, compute, memory, and networking latency. Outside Huawei’s terminology, this is called system-technology co-optimization. This is Huawei’s answer to its lack of EUV lithography. Without EUV, planar density cannot keep pace with TSMC, Intel, or Samsung. If transistor density cannot shrink further, Huawei’s alternative is to shorten wires, reduce buffering, and stack logic vertically. “LogicFolding”, Huawei’s implementation of this new scaling idea, is, in practice, an aggressive 3D stacking approach. AMD V-Cache places SRAM above or below a CPU die. AMD’s MI350X places active interposer dies (AIDs) underneath accelerator and compute dies (XCDs), with the AIDs handling cache, IO interfaces, the network-on-chip (NoC) and embedded metal-insulator-metal (MIM) capacitors. With LogicFolding, parts of the same logic block are split across multiple active dies bonded face-to-face at ultra-fine pitch. This allows Huawei to shorten some critical paths and reduce buffer overhead, not merely add cache capacity or offload the IO and interconnect. Shortening wires is where the higher clocks come from. A large share of a modern core’s delay and energy budget goes into driving long interconnects and the repeater buffers along them. LogicFolding distributes a block’s critical-path gates across multiple stacked tiers bonded at a very fine pitch, so the bond interface behaves like an additional metal layer and the longest paths get shorter. That is how Huawei expects to recover frequency and efficiency it cannot get from the process alone. Huawei’s roadmap shows its intent. Prime core frequency is targeted to rise from 2.75 GHz in the Kirin 9030 to roughly 5 GHz by 2031, far beyond what planar scaling alone could deliver. Prime cores with 3.1 and 3.39 GHz clocks are being tested in its labs, although their power consumption is unknown. Beyond that, chips are in the design, simulation or pathfinding phase, meaning the frequencies are targets. However, the direction matters more: LogicFolding also helps with performance, not just density. The catch is that Huawei’s density claim is not directly comparable to foundry densities. A stacked design can report more transistors per package footprint by adding active layers, even if each patterned die remains well behind TSMC or Intel in front-end density. This is how Huawei can claim to reach foundry 14A-equivalent density by 2031. This is not a like-for-like foundry comparison, with Huawei using stacked logic and measuring density per package footprint. On a normalized Bohr-density basis, SMIC N+3 is ~114 MTr/mm², 38% less than Intel 18A’s HD library. Huawei’s 3D roadmap closes the gap by stacking active logic, reaching 215 MTr/mm² by 2030. In 2031, the roadmap density jumps to 295 MTr/mm², implying either a third active layer, partial EUV insertion or aggressive planar DUV scaling. Huawei’s methodology makes other foundries look much denser as well. Applying it to AMD’s MI450X with an N2 top die on an N3P base die yields a theoretical density of 460.2 MTr/mm² in 2026, compared with Huawei’s 295 MTr/mm² in 2031. This Kirin 9030 does not use LogicFolding, remaining in a conventional mobile SoC package. Instead, it forms the baseline for how far Huawei and SMIC can push planar scaling. Future teardowns of Kirin and Ascend chips will show both planar logic density and Huawei’s hybrid bonding solutions. Export controls changed China’s optimization problem rather than ending it. EUV restrictions raised the cost and complexity of leading-edge manufacturing without freezing it. SMIC reaches N6-class logic density through DUV immersion, SAQP and DTCO, while Huawei shifts more of the burden onto architecture, packaging and system-level integration. Future nodes will be tougher. N+3 still had room to tighten local metals and reduce cell height and CGP. Further scaling without EUV leaves fewer levers. More aggressive multi-patterning adds masks and overlay error. SMIC can keep pushing DUV, but each step will get more expensive and less forgiving. The design side is just as critical. Huawei had domestic EDA tools and flows before the Kirin 9030, with the Kirin 9000s, 9010 and 9020 making that clear. Huawei was able to ship multiple consumer SoCs on SMIC N+2 and N+3 while cut off from the Western EDA stack. US export controls restricted EDA tools for advanced chips in 2022 but did not target tools for more mature chips. In 2025, the US government briefly placed much broader restrictions on EDA software from Synopsys, Cadence, and others, before lifting them less than two months later as part of a trade deal tied to rare earths. Huawei has been unable to access those tools because it remains on a US trade blacklist. That forced Huawei, SMIC and Chinese academic institutions to build their own tools and flows. Researchers at Peking University recently announced a prototype EDA tool for Huawei’s LogicFolding architecture, which requires a new flow to handle the multilayer layout and floorplan. This is not the same as replacing the full Synopsys or Cadence stack, but it shows where domestic EDA is headed: toward tighter co-optimization between architecture, process and packaging. These advances are also diffusing into the Chinese ecosystem. SMIC is licensing its N+2 and N+3 processes to HLMC/Hua Hong at the government’s direction rather than by choice. If the same process learning feeds into Ascend accelerators for AI training and inference, the choke point shifts from one named fab to an ecosystem. Alibaba’s T-Head silicon arm and Cambricon, a Chinese AI chip designer that is expected to supply ByteDance, could also be major beneficiaries. Sanctions aimed at SMIC alone become less effective once the manufacturing knowledge has spread to other fabs and design houses. China is not closing the gap with Intel, Samsung and TSMC. The teardown shows the opposite in several places: no EUV, no backside power, higher process complexity, and visible trade-offs. But China is still advancing. If domestic chips become good enough for phones, inference, networking and security-sensitive workloads, they can matter strategically without matching TSMC at the leading edge. Behind the paywall, we show what else STEEL can do, with material and process flow analysis of SMIC N+3, and analysis of the Kirin 9030 package. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline, access the full Kirin 9030 and SMIC N+3 analysis or to commission a custom teardown, contact sales@semianalysis.com.
The Compass Report: Relative declines seen in Arkansas metro economies
Although job numbers were up broadly, rising jobless rates, declines in manufacturing and construction jobs, and moderation in building activity resulted in lower grades among the four Arkansas metro economies...
6 said killed in Gaza strikes as Hamas health ministry says war toll surpasses 73,000
Terror group says it responded to 15-point Board of Peace blueprint aiming to push ceasefire to next stage, although sources say disagreements remain over disarmament issue
Converting A Scanning Electron Microscope Into A TEM Is Surprisingly Easy
Although both a SEM and a TEM are electron microscopes, their working principles and images are very different. Whereas an SEM uses secondary electrons ejected after bombarding a sample’s sur…
In Retrospect: Poland, Russia, Europe
In April I spent a few days with Zryw, a Polish non-profit organization that recruits young people to enter politics and public life. Their aim is to build a new generation of civic leaders in Poland. I’ve followed their evolution from the beginning; my son is one of the founders. (“Zryw” means “impulse” or “burst of speed” in Polish). Julie Chmielewska, one of Zryw’s leaders, interviewed me at the event. Here is the conversation, lightly edited for grammar and context: Julia Chmielewska: Assuming that culture shapes institutions, could we conclude that some cultures are more prone to authoritarianism? Anne Applebaum: I don’t think so. Every culture, every nation, and every country has the potential for change. When we look at history, we can see that nations do change. Poland has changed, for example, from the 1980s to today. There’s a completely different mentality here than the one I encountered when I first visited, in 1988. The current generation sees the world through a different frame. So no, I don’t believe that certain nations are doomed to authoritarianism, or to anything. Of course, there are political and cultural traditions, but they can always be challenged. JC: So do you think there’s something intrinsic in human nature that pushes people to democracy, freedom? AA: I think there is something in human nature, a deep instinct, that pushes people towards freedom, yes. People who live in authoritarian countries – and I’ve heard this from them over and over again – sooner or later find themselves angered by a feeling of helplessness. They can see the unfairness of crooked courts, irrational political decisions. They naturally dislike the fact that somebody has all the power while they have none. In those circumstances, people who have no political background at all sometimes are politicized just by that frustration. I’m thinking of Svetlana Tikhanovskaya, for example, who was a Belarusian housewife, until the circumstances of her husband’s arrest forced her to become a politician. I met a woman who is a Uyghur from China, and who had come to live in Turkey. After several of her family members were arrested, she too was propelled into a political role. These kinds of experiences make people interested in democracy or political reform, even if they thought they didn’t care. I also think that the opposite is true: some people instinctively prefer homogeneity, order, hierarchy. They don’t like the confrontation of opinions or the noise of debate, and they lean towards a single leader or a unified regime. I think that most of modern history is shaped by the clash between those two different sides of human nature. JC: Which force do you find more powerful today? AA: I think they both have a lot of power and there’s no way of predicting who wins. Even in countries that seem very shut off or stuck in an authoritarian system can change. We’ve seen that happen. And vice versa, I think democracies can also begin to fail and slide into authoritarianism. So it’s very important not to be complacent in either direction. JC: I want to go into your history and your experiences. You’ve lived in Russia during a time of incredible change in the late 80s, and then you came back to do research in post-Soviet Russia. AA: I was a student in Russia just before the collapse of the Soviet Union. I then traveled and worked there extensively in the 1990s, and I met people who really were full of hope. They hoped that Russia could become a democracy, or at least a place that guaranteed freedom of speech, freedom of the press. These weren’t ideas that came from Washington. Although now the narrative in the Kremlin is different, I met many people who were working towards exactly that kind of transformation. A friend of mine ran a series of seminars – once a year, and then later several times a year, in cities all over Russia – designed to get people to discuss politics in new ways. She invited young politicians and journalists, as well as foreigners. I went to many of them, in Moscow as well as Volgograd and Novosibirsk. Over two decades, hundreds of people came to these seminars, and all of them wanted Russia to be different. I remain convinced that many Russians still want Russia to be different. It’s just that the old system, in the form of Putin, a representative of that system, returned. The KGB reimposed their power. And this wasn’t because of something to do with culture, this was to do with money and politics, and who was in charge. JC: You’ve partially answered my question... I wanted to ask whether that excitement of the 1990s was an exception from the Russian historical norm which has been rather authoritarian? AA: Of course, if you look at the history of Russia since the 18th century, there have always been liberal groups, reformers and revolutionaries. There were the Decembrists, in the early 19th century, and the rural populists later on, who tried to organize the peasantry. A significant group of liberal Russians appeared at the turn of the 20th century, people like the father of the writer Vladimir Nabokov, who was a Russian politician before the revolution. These groups were small in number, but sometimes had a broader significance. The Russian dissident movement in the 1950s and 1960s actually invented the modern human rights movement. It was their idea to hold the leaders of the Soviet Union accountable for the language they used, to remind them of the treaties they had signed and the promised they had made. They created the Helsinki group, for example, that held Soviet leadership to the language of the Helsinki Treaty, which formally ended the Second World War and which contained guarantees of human rights, at least on paper. That idea spread to Eastern Europe, and similar tactics were used here in Poland. (Benjamin Nathans recently wrote a great book about the Soviet dissidents, To the Success of Our Hopeless Cause) JC: But seemingly, even if they do ever get power, they could never hold on to it. AA: We don’t know, because they have never really had power. But in any case, we also don’t know what will happen in the future. There is no reason to assume that Russia will forever be condemned to totalitarianism. Even during the first fifteen years of Putin’s regime there was some form of democratic politics. Only when the full-scale war began did he bring everything to an end: he shut down all remaining independent organizations and killed his most important opponent, Alexi Navalny. But does that mean he is popular, that he enjoys legitimacy? Even now, we don’t really know what Russians think about him, or about the war. There is no way of doing real polling in Russia because nobody will answer an independent pollster over the phone. JC: Do you think that the flock of young people, especially young men, who fled Russia after the start of the war represent a continuation of liberal movements that refuse to partake in the authoritarian state, or do you think they are moving for the sake of self-preservation – “I don’t want to go to the army, so I leave”? AA: I’m sure it’s both. I actually know many people who left Russia for political reasons either in the very last years before the war, or else just after the war began. JC: And do you see a change in the young generation versus the old one that have fled? AA: It’s hard for me to say because the people who I know were mostly already politicized. I do know some younger people who left, but most of them were already either active in the opposition, or working as journalists. Many of them very self-consciously think of themselves as maintaining Russian culture abroad, just as in the 20th century the Soviet dissidents or the anti-communist White Russians once thought of themselves as people who maintained the true Russian culture, outside of Bolshevik Russia. JC: Let’s move on to Poland. One of your first experiences with Poland was reporting on Margaret Thatcher’s first state visit, in the autumn of 1988. You followed her around the farmers’ market. AA: She was making a symbolic gesture. She wanted to welcome free markets, but the only one she could really visit was the farmers’ market at Hala Mirowska. JC: And I want to talk about this area because today you can look out of any window in that district, Mirów, and see rows and rows of skyscrapers. How does it feel to see a country built from the ground in such a short time, both politically and economically? AA: You know, when you’re living in a period of dramatic change, it’s always hard to know whether the change is positive or negative. The transformation in Poland created winners and losers, as well as new classes of people, new political movements of different kinds. At the time, it sometimes just felt like turbulence. Now, we can look back at the 1990s and early 2000s in Poland and see in retrospect that the country was headed in towards prosperity and European integration. In around 2009 or 2010, I remember speaking to a woman who worked cleaning government offices, and who asked me if her daughter should study in Amsterdam or in London. This seemed to me to be a real transformation, and it happened very fast: within a few years, Poles stopped feeling like second-class Europeans, and a generation of younger Poles appeared who had no qualms about crossing borders. JC: We again live in turbulent times. Do you think we’re heading towards positive outcomes? AA: I can’t make predictions, because everything that happens tomorrow depends on what people do today. Also, history doesn’t have a trajectory. It doesn’t move in a particular direction. You only think it does afterwards. As I said, you can look afterwards at Poland in the 1990s and you could say this was a period of great progress. But not everybody at the time saw that. Sometimes people are very wrong about a given country’s trajectory. I remember people writing about Ukraine in the 1990s, about how dangerous it was that Ukraine was independent, that this was going to be an anti-semitic state, that Ukrainian nationalism was going to come back... and although you can say many bad things about Ukraine, the country made many bad choices, actually it became a pretty tolerant state which now has a Jewish president and until recently a Muslim defense minister. JC: In the 1990s Poland’s and Ukraine’s GDP were roughly similar. Ukraine was even a bit richer. So the starting point was similar for both of these countries, but they’ve turned out very, very differently. Even if we stop in 2014. Why do you think Ukraine “chose East”? Was it external influence? AA: No, I think Ukraine was in a different position. First of all, central and eastern Ukraine had been part of the Soviet Union since the 1920s, and had therefore experienced a longer period of occupation, repression, Sovietization and even Russification. Ukraine did not have, as Poland did, an alternative elite: a large cadre of economists and politicians, who already had some experience in opposition politics and in independent thinking. In Poland, the transformative finance minister, Leszek Balcerowicz, had already thought about how an economy might be decentralized before he took office. We can argue about how successful he was, but at least he was prepared to try something new. In Ukraine, people weren’t prepared. For one, there hadn’t been much space even for an illegal opposition in the previous couple of decades. Ukraine was also in many ways still emerging from colonial occupation. For the previous couple of centuries, many of the most capable Ukrainians had moved to Russia, and the first generation of leaders in independent Ukraine tended to be former Soviet apparatchiks. They didn’t immediately seek to become closer to western Europe. Instead, they looked for some kind of economic and political “third way” and an accomodation with Russia. Ukraine became stuck in this position, half-in, half-out and became pretty profoundly corrupt. JC: The Polish alternative elite had a vision of where they wanted the country to go. I think the general perception now is that this vision ends with the next election, right? Is this a natural process of gaining power? AA: Their vision, and it was shared by the time by politicians who now call themselves both left and right, was that Poland should join the EU and NATO, as fast as possible. My husband (Radek Sikorski) was in the very first government that said it wanted to join NATO. At the time this was taken very badly in Washington: the demand for NATO membership absolutely came from Poland, not from the US. But even then, in the early 1990s, many Poles already understood that the Russian sphere of influence would grow once again, that it was important to become part of the transatlantic alliance and an integrated Europe as fast as possible: NATO, the EU, the Council of Europe, all of the trading and security alliances. That consensus lasted through several different governments and over many years, even governments containing former communists. For twenty years, right, left and center disagreed about many things, but they all agreed on the direction that the country should go. In retrospect, that consensus created the basis for prosperity in Poland. JC: And regarding the Polish-Ukrainian relations. We know that antagonisms, e.g. the myth of Wołyń [a massacre of Poles that took place in what is now Western Ukraine, in 1943] are increasingly used in Polish political discourse today. In Ukraine, nationalist historians make heroes out of UPA, the Ukrainian revolutionary army, which is held responsible for this tragedy. Where do you see a start for burying the hatchet? Is the reconciliation of our nations possible? AA: So here’s a strange thing: For more than a decade after they both gained independence, Poland and Ukraine participated in a number of projects that were designed to solve exactly these kinds of Polish-Ukrainian differences. Books were published that were jointly written by Polish and Ukrainian historians, monuments were built. These projects were successful: If you’d asked me this question in 2010, I would have said that there are no real historical issues between Poland and Ukraine, that the two countries had mostly reconciled. For a number of reasons, this began to shift. In Poland, children and grandchildren of victims of the Wołyń massacre felt their tragedy hadn’t been fully recognized. In Ukraine, nationalist groups wanted the UPA partisans who had fought against the Soviet Union recognized for their heroism, despite the fact that some in this broad and not well-defined group were also linked to Wołyń. In both eastern Poland and western Ukraine, the memory of the ethnic cleansing that took place there in the late 1940s - Poles were moved West, Ukrainians East - to accomodate new borders has left feelings of displacement and bitterness. The wave of Ukrainian immigration, which started before the war, may have provoked some of this. But don’t underestimate the role played by Russia, which has always wanted to create discord between Poland and Ukraine, and pumps out propaganda to that effect in both countries. Vandalism on both sides of the border, damage done to cemeteries and monuments, is sometimes carried out by provacateurs working for Russia, just to create bad feelings. The Polish-Ukrainian conflict also hides a different reality: although there are real grievances and bad memories, the truth is that the biggest tragedies both nations experienced in the twentieth century were inflicted by the Soviet Union and Nazi Germany. That should unite these two countries, not divide them. JC: This week (19.04.2026 – Ed.) in Hungary we saw that using historical narratives to create grievance has no longer worked. Are you optimistic about the direction after Orban’s loss? AA: The Hungarian election was really important because it shows that people can actually resist powerful, dominant propaganda. The ruling party Fidesz controlled all of the TV, 90% of the newspapers, the constitutional court, the bureaucracy... and yet people had the nerve to vote against it and resist it. It’s also an important election because Hungary created a huge network of well-funded think tanks and foundations that were funding other far right groups and projects. So that loss is going to have a knock-on effect in other places too, maybe even in Poland. JC: What you’ve said about resisting propaganda reminds me of one of the interviews you did about talking to Russians in the post-Soviet era who claimed that people knew that the system was lying. Why do people choose to believe in these regimes anyway? AA: Because it’s useful. Stephen Kotkin, an American historian, once described how people would learn how to “speak Bolshevik”: It was just a language that you needed to use in order to get by in society. If you didn’t talk the way the regime wanted you to talk, then you might have problems, or lose your job, or your kids would not get into university. It was a way of getting along. Communist Poland was similar, at least in the early years. When I was writing a book about the Sovietization of Eastern Europe after World War II, I met a lot of people who wanted to talk a lot about the war, when many of them had done really heroic things. But almost nobody wanted to talk about the decade afterwards, between 1945 and 1956. This was when you had the short period of terror, violence and Polish Stalinism. To stay safe, people felt the need to just go along with what others were saying, or stay out of politics, or use communist jargon without necessarily believing it. I don’t judge them for it, and I wouldn’t describe all of those people as collaborators. It’s easy to feel moral certainty in retrospect, because we know that communism ended. But if you were living in 1949, it might not have been clear to you that communism was going to end. In very repressive societies, maybe about 10% of people who are really evil – collaborators, torturers. Maybe 10% of people are really brave and who find ways to resist. And then around 80% of people have kids, they have parents, they have to have jobs and they’ve had to get through it somehow. Strange though it may sound, I’ve found that the work I did on that book is now very useful in explaining some of what’s going on in the United States today. There are plenty of members of the Republican Party in Congress who know perfectly well that Donald Trump says many things that aren’t true. But they avoid criticizing him because it’s inconvenient, because they would get in trouble, because someone would attack them on the internet. So actually you don’t even need mass terror to get people to conform. JC: Is Gen Z reinventing agency? AA: We’ll see. In any generation you can find groups of people who want agency. If you live in a society that’s unfair, for example where a tiny number of people have captured most of the wealth, then at a certain point people rebel. This is always easier for younger people, who have you have less to lose. The question now is how the internet will affect the relationships between citizens and the state, and how it will change organizations. The “Twitter revolutions” people spoke about as early as 2008-9, mass protests organized online, have often proved to be very superficial. Although you can easily join something just by clicking, the work of creating a real movement requires physical participation. Successful mass movements of the past, for example the Civil Rights movement in the United States, were built by people who had spent many years together. They had participated in non-violent workshops together. They practiced and prepared. Just using the you can get everybody to show up at a certain moment, but then when the protest is broken up, nothing happens. It’s also true that the repressive regimes have more recently learned how to use the internet to undermine leaders and movements. Most of all, they now understand how to make people cynical. The form of propaganda that most modern authoritarians use - and I think the Russians really pioneered this - deploys sneering cynicism. Instead of praising the rulers, the regime propagandists mock the opposition movement leadership for being supposedly corrupt or sexually degenerate, with the goal of undermining any kind of idealism. JC: MAGA grew on the internet? AA: MAGA is a real grassroots movement. They had symbols, red hats, they showed up at rallies. But you’re right that the cynicism, the sarcasm and the distrust that the movement embodies came originally from the internet, and this is different. Fifty years ago, most European political parties had a social base in real organizations, in trade unions for Social Democrats, in church groups for Christian Democrats. As people stopped going to church and as the trade unions became smaller, the social base of these parties disappeared. Now people who wouldn’t have known one another in the past meet on the internet and create new movements, many of which don’t last. JC: Is history ending? Going in stale circles? AA: History never ends. In truth, human beings want contradictory things at the same time: order and freedom, stability and change. These things are never resolved, and when a society swings too far in one direction, people always push it the other way. But each time that happens, the result is different. Certainly it is true that we are now in a period when old philosophers and ideas from the 1930s are undergoing a revival. Carl Schmitt, who was a philosopher who was very influential on the Nazis, is back as an influence on both the far left and the far right, once again inspiring people to think that all politics has to be existential, that all politics is about defining and defeating enemies. In the US, some are also bringing back dominionism, the idea that we need a Christian and not a secular state. It’s also true that we are living through a more fundamental shift. The old left-right divide, which was mostly about the size of the state, is much less important now. Instead, we are arguing about more fundamental things: what are our rights, what protects our freedom. Or how much power do we want to give small elites, versus how much power to give ordinary people. In America a small group of very wealthy people now control information, because they control the social media platforms and AI, which means they determine what people will read and learn. Finding a way to preserve preserve zones of autonomy and independent thinking, this is going to be the main task for the next generation. JC: What is the one book that a person interested in Central Europe should read? AA: You could read my book “Iron Curtain: the Crushing of Eastern Europe” which tells the story of how the Soviet Union imposed its culture on the region. Or read Tim Snyder’s history of the region, “The Reconstruction of Nations: Poland, Ukraine, Lithuania, Belarus 1569-1999.” And everyone should read “The Captive Mind” by Czesław Miłosz, which describes exactly the phenomenon we were talking about: why do people collaborate? I joined Scott Galloway and the brilliant Fiona Hill in a discussion about the wars in Ukraine and Iran, the future of global power, and what these conflicts reveal about America's role in the world. Scott told us that this was the 400th edition of his podcast, which is quite a number: My friend Francesco Chiamulera runs a brilliant series of literary events, Una Colline di Libri, A Hill of Books, in the Prosecco Hills, a region of vineyards and elegant hill towns in the Veneto, north of Venice. We did an event in Vittorio Veneto and also drove and biked around the countryside. Buy Autocracy Inc Buy Iron Curtain Open Letters, from Anne Applebaum is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
Trump’s UFC matches are unprecedented, but sports at the White House aren’t
From “Hoover-ball” to horseshoes, sports have long been a part of the White House, although there has never been anything like the live UFC event to be held Sunday.
The science of seeing inside explosions
During the Manhattan Project, Los Alamos scientists needed a diagnostic tool. Like an x-ray confirming a broken leg bone, the researchers wanted to be able to see into the smoke cloud of detonation products. They needed to verify that the implosion remained symmetric to ensure an efficient detonation. Although it was a time when scientific breakthroughs came quickly, this challenge stumped them, and their initial efforts to use x-rays to visualize the event were limited.
https://9to5mac.com/2026/06/08/watchos-27-apple-watch-update-details/
Although watchOS 27 drops support for several older Apple Watch models, Apple has confirmed to 9to5Mac that one compatible model was mistakenly left out of its official list.
We can create the future of science right now
Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.
Europe pours money into ocean research as Trump guts science funding
US withdrawal means Europe is a lifeline for ocean research, although a poorer one.
Mosquito bite prevention remains best defense against West Nile virus | Health and Human Services North Dakota
North Dakota Health and Human Services (HHS) reminds people that preventing mosquito bites is the most effective way to avoid West Nile virus. Although no human cases of West Nile virus have been reported to HHS so far this year, there is a risk of contracting the disease anytime mosquitoes are active.
Traveling reminds me of the wonders of home: Danny Heitman
A home misses you while you’re gone, which is a good thing, although the longing can take complicated forms.
Traveling reminds me of the wonders of home: Danny Heitman
A home misses you while you’re gone, which is a good thing, although the longing can take complicated forms.
Guruzeta, credit for an up-and-down season
Although things did not go well for Athletic as a team, Guruzeta delivered with 17 goals and a personal best.📸 Juan Manuel Serrano Arce - 2026 Getty ImagesIt has not been a good year for Athletic c...
Is it possible to die of grief? Science confirms that intense bereavement raises the risk of death
Prolonged sadness after the loss of a loved one nearly doubles the likelihood of death within 10 years, although the risk is higher in the first six months
‘She should get fined’: Angel Reese faces criticism for ‘flopping’
Tuesday night’s matchup between the Connecticut Sun and the Atlanta Dream featured a marquee battle in the paint between Brittney Griner and Angel Reese. In the fourth quarter, that battle turned a little too physical, though many fans seem to think Reese was embellishing things a bit. Although Atlanta cruised to a 91-75 victory over…
A Look At AMC Entertainment Holdings (AMC) Valuation As May Attendance Hits Highest Level Since 2019
AMC Entertainment Holdings (AMC) is back in focus after reporting its highest May attendance since 2019, with 25.5 million guests, along with a stock rally tied to recent blockbuster releases and revenue diversification efforts. See our latest analysis for AMC Entertainment Holdings. Recent box office wins and revenue experiments have coincided with a sharp 90 day share price return of 75.42% and a 30 day share price return of 42.76%, although the 1 year total shareholder return is still down...
PlayStation First-Party Game Sales Have Declined Over the Past 5 Years, Although Ghost of Yotei Helped Reverse the Trend
On the eve of Sony’s crucial State of Play showcase, new data has revealed a steady decline in first-party PlayStation game sales over the past five years, although 2025's Ghost of Yotei helped reverse the trend.
CCIC finalist team focuses on quantum science
Although the college has no immediate plans to develop a quantum-related course track, SUNY Broome Community College has engaged with the emerging science through a student team called Hands-On...
Candidates for 2027 presidential election: Atiku and Kachikwu, Jonathan and Onor, wat next for political parties after primaries
Although political parties don announce dia candidates, mata still full ground sake of internal party wahala. So wetin go hapun next?
George remains option for Everton
Everton are still weighing up whether to trigger Tyrique George's option-to-buy clause this summer following his loan spell from Chelsea. The 20-year-old forward's future remains unclear, as does the value of the option, although it could be in a similar ballpark to the £22m fee agreed with Fulham on deadline day last summer. George made just one start in 11 appearances at Hill Dickinson Stadium but, at times, looked impressive from the bench.
What Lecture Won’t Cover: What sports broadcasting taught me about taking a look around
The senior sendoff was the first event I attended all quarter for a club whose name I won’t reveal. I had been pulled away by an overloaded schedule, and although I had found community within the organization since joining my first year, it never fully felt like my own. I would wave when I passed...
This year’s World Cup is testing the public health playbook
Although rare diseases like Ebola are concerning, experts say that most public health preparation for the World Cup has been focused on familiar issues – but ramped up to match the scale of the event.
Pirated Sports Streams Are Warping TV’s Most Important Ratings
Advertisers love live sports. But good luck measuring that investment. Although tides of ad revenue flow based on the ratings of certain tentpole TV events, a new crop of scammers now operate illicit sports livestreaming rings, and there’s almost nothing broadcasters can do about it. According to a new report released Tuesday by ad tech […]
Patrick Mahomes, Chiefs linked to A.J. Brown
Philadelphia Eagles wide receiver A.J. Brown was one of the most disgruntled players in the league last season, as he struggled to consistently be on the same page as quarterback Jalen Hurts. Although Brown remains a rostered member of the Eagles, Philadelphia is widely expected to trade the wideout, with ESPN’s senior NFL insider Adam…
Carrick confident Bruno Fernandes will stay at Man Utd
Manchester United boss Michael Carrick is confident skipper Bruno Fernandes will remain at the club next season. Fernandes ended the campaign by claiming a Premier League record 21st assist of the season to start the scoring in United's 3-0 win at Brighton. The 31-year-old's contract is due to expire next summer, although United do have an option to extend it by another year.
Bond breakout? Big effects of bad data. Immigration and thermostatic politics & dad-chat is coming for dad-books.
Thank you for opening your Chartbook email. Anna Airy, A Shell Forge at a National Projectile Factory, Hackney Marshes, London, 1918 Bond breakout - John Authers Across the developed markets, bond markets are staging a slow-motion car wreck. Looking at the drastic moves in the US, Japan, the UK and France, Barclays’ Ajay Rajadhyaksha commented: “Last week, long bonds broke. Not in one country. In all of them. Simultaneously. Four countries. Four different political systems. Four different central banks. But the same trade — “get me out of duration!”” Each country has its own contributing political problems, but the uniformity of the shift out of long-term bonds with high duration makes clear that something broader is afoot. For Rajadhyaksha, it is “simple and uncomfortable.” The developed world “has too much debt, too little fiscal discipline, and no political appetite for fixing either.” If there’s a trigger, it has been the Iran war and the resulting shock to oil supply. Source: Bloomberg G7 countries are now borrowing at rates that were enjoyed by EM in the early 2020s For contributing subscribers only. Subscribe Trade between China and Russia has grown in recent years For contributing subscribers only. Subscribe Big effects of bad data A decade ago nearly nine in ten Americans, when approached, agreed to fill out the Current Population Survey, which is administered to about 60,000 households each month and asks about, among other things, employment. Fewer than seven in ten do so now (see chart 1). For the Consumer Expenditure Survey, which tries to capture 3,700 households monthly, the response rate is down from 68% to 40%. … When the information becomes less reliable, investment decisions get more difficult to make. Some may be delayed, creating a potential drag on the economy. A new working paper by Nicholas Bloom of Stanford University, Erica Groshen, former head of the Bureau of Labour Statistics (BLS) now at Cornell University, and Duncan Hobbs and Michael Strain of the American Enterprise Institute, a think-tank, hazards an estimate. Preserving trust in “the integrity and quality of official statistics”, the authors claim, generates economic benefits of about $25 for every $1 spent on the BLS, the agency with an annual budget of $700m that is responsible for many of these data. To arrive at their conclusion the quartet analysed an ignoble episode in the BLS’s recent history. On August 1st 2025 Donald Trump sacked Erika McEntarfer, appointed as the agency’s commissioner by his predecessor, Joe Biden. The president alleged, without evidence, that the BLS’s steep downward revision to recent jobs numbers had been “RIGGED in order to make the Republicans, and ME, look bad”. In fact, it was the wanton dismissal that looked bad in the eyes of many observers. In the following seven days there was a 50% leap, relative to the week before, in the average value of the index of Economic Policy Uncertainty (EPU), which tracks the number of articles mentioning such uncertainty that are published daily in American newspapers. This was a discernible jump even when compared to the chaos caused by Mr Trump’s trade war in April 2025 and his real one in Iran in the past two months (see chart 2). Based on Mr Bloom’s earlier study with other colleagues of the EPU’s impact on business investment, industrial production and employment, the authors estimate that the jump reduced American GDP by over $100bn (0.3%) and non-farm payrolls by 168,000 (0.1%). Source: The Economist Immigration and thermostatic politics (Sarah O’Connor in the FT) A strange thing happened a year and a half ago. No sooner had Americans elected Donald Trump as president on an explicitly anti-immigration platform than US public opinion began to swing much more favourably towards immigration. … to political scientists who study “thermostatic” politics, this development is no surprise at all. Public opinion often moves against the prevailing party, especially if they are perceived to have gone “too far” in one direction. The phenomenon was first explored in the 1990s with reference to fiscal policy, but in recent years it has been particularly evident in the realm of immigration policy. While these swings in opinion polls can make it seem as if people don’t know their own minds, they can be a useful democratic check on governments by sending bright flashing warning lights when policies stray too far from the public’s comfort zone. The problem comes when politicians misinterpret those signals. When people tell pollsters they want less immigration, or think it is bad for the country overall (or the converse), they are often expressing an opinion about how things appear to be going in that moment relative to their preferences, rather than a deep shift in their underlying views. According to Alexander Kustov, a political scientist, most Americans’ views are quite stable and moderate: they support immigration that is controlled and in the national interest, and oppose flows that are disorderly or under-enforced. In the US, he argues the Trump administration over-interpreted dissatisfaction with high immigration under Joe Biden, and implemented policies that went too far for many voters. “People don’t necessarily change their idea about their ideal immigration policy, but they can react to what the government is currently doing,” he told me. “A lot of people are not happy with what the Trump administration are doing — right now we’re not talking about border enforcement, we’re talking about people not just getting harassed, but killed.” But similarly, he added, pro-immigration advocates would be making a mistake to interpret the recent, more favourable swing towards immigration as a deep-seated ideological shift in attitudes. The recent history of UK immigration policy offers another cautionary tale. After the 2016 Brexit referendum, public concern about immigration fell. This was partly because net migration statistics declined, but also because people felt a sense of catharsis and control, says Sunder Katwala, director of British Future, a think-tank. By 2019, the public ranked immigration as only the ninth biggest issue of concern, according to Ipsos polling. But when the Conservative government liberalised visa routes for students and care workers between 2019 and 2022, that helped net migration to surge. And so, too, did public concern. Today’s Labour government has implemented another sharply restrictive turn in immigration policy. As Kustov and researcher Caitlyn Yates argue, thermostatic public opinion should be a useful check on politicians. Instead it seems to have helped to magnify the pendulum swing in the UK. The government over-interprets and overreacts to a change in public opinion, which reacts in turn, prompting a sudden swing the other way. Source: Financial Times HEY READERS, THANK YOU for opening the Chartbook email. I hope it brightens your day. I enjoy putting out the newsletter, but tbh, what keeps this flow going is the generosity of those readers who clicked the subscription button. If you are persuaded to click, please consider the annual subscription of $50. It is both better value for you and a much better deal for me, as it involves only one credit card charge. Why feed the payments companies if we don’t have to. Subscribe Anna Airy, Shop for Machining 15-Inch Shells: Singer Manufacturing Company, Clydebank, Glasgow, 1918 Racing for a vaccine … we have been here before! The deadly Ebola outbreak in two African countries driven by a virus species with no vaccine has triggered an urgent search for a potential jab, in a test of troubled global efforts to avert threats posed by emerging diseases. A World Health Organization advisory group is due to would meet on Tuesday to recommend candidate jabs to prioritise for clinical trials, the global health body said. It will assess data including an analysis by the Coalition for Epidemic Preparedness Innovations (Cepi), which was set up after failures in the international response to a previous Ebola crisis. The latest Ebola outbreak in Democratic Republic of Congo and Uganda has infected hundreds of people and killed more than 80, health authorities say. Cepi’s reaction will be a crucial indicator of its progress towards its wider goal of producing vaccines for pandemic threats in just 100 days, despite steep cuts to international health funding. “If there was ever a time that we could show the world why Cepi is needed and show the world why the 100-day mission is needed, it’s now,” Nicole Lurie, the organisation’s executive director for preparedness and response, told the FT. “We’re happy to accept that responsibility, but obviously we need help from partners — particularly financial help in the long run.” DR Congo and Uganda would make the final decision on whether to press ahead with any vaccine candidates endorsed for clinical trials by the WHO experts, the global health body said. “Other ethical and community acceptability issues will be considered,” said the WHO, which declared the latest outbreak a public health emergency of international concern on Sunday. “This will be important to make sure that the trial, if it happens, will be adequately communicated to the population.” Lurie said Cepi had provided information from a survey of research teams and companies working on drugs that might be effective against the Bundibugyo virus behind the outbreak. The organisation hoped soon to announce partners in the quest for a jab, she added, although she declined to give a timescale for when one might be developed. Cepi’s Nicole Laurie said global health bodies were ‘getting some live-fire drills’ with hantavirus and the latest Ebola outbreak. The hunt for a vaccine should be helped by scientific advances including the use of artificial intelligence to find drugs active against viruses, Lurie said. Existing jabs against the Zaire Ebola virus responsible for many previous outbreaks might provide a basis for tackling the Bundibugyo species, she added. “We’ll see how far and how fast we can get,” Lurie said, adding that Cepi had done preliminary work recently on a possible jab for the rat-borne hantavirus responsible for a recent fatal outbreak on a cruise ship. “Both with hantavirus and now with Ebola, [we] are getting some live-fire drills.” Source: Michael Peel in the Financial Times Dad-chat is coming for dad-books. (By Pamela Paul and Jeffrey A. Trachtenberg in the WSJ) They were the go-to gifts for Father’s Day: a book about some little-known chapter of World War II, the sweeping narrative of a shipwreck, perhaps the latest presidential biography. These days, dad books are a dying breed. Nonfiction book sales have been in decline for the past four years, and are now the most challenged segment of the print book market. Publishers say certain types of books still fare well—including celebrity memoirs and religious titles. But in recent years, print sales in such categories as biography, current affairs and business and economics—what publishers refer to as “serious nonfiction” and which tend to resonate especially with men—have fallen considerably. Sales of nonfiction print titles were down nearly 8% through May 9 this year, and sales of books about politics and current affairs were down 19%, according to book tracker Circana BookScan. Publishing has long been subject to cyclical changes, with trends in format and genre taking over bookshelves in grand sweeps. (Remember the adult coloring-book craze? Or the stratospheric rise of romantasy?) But many in publishing believe the decline in serious nonfiction is more existential. “The trend couldn’t be clearer,” said Jonathan Karp, the former chief executive of Simon & Schuster and publisher of the new Simon Six imprint. “This is a sea change and people should wake up and realize we’re living in a new world.” One culprit for the shift: a new media diet for fans of more serious nonfiction. … Sixty-two percent of men and 54% of women consumed a podcast in the prior month, according to a recent survey by Edison Research at SSRS, up from 46% and 39%, respectively, in 2023. “When we have internal meetings to talk about this problem, it always comes around to podcasts,” said Jonathan Burnham, president and publisher of the Harper Group at HarperCollins Publishers. “The man who wants to read American history is now tuning into one of the many good podcasts about history that lends the quiet attention to a serious subject he’s looking for. It makes the idea of sitting down with a 700-page Ron Chernow book less appealing. You’ve scratched that itch.” Source: Wall Street Journal Remarkable report by Novara from the nationalist rally in London in mid May. Anna Airy, Leopard Moth and Plums, 1915 If you’ve scrolled this far, you know you want to click: Subscribe
How To Start A Summer Business
Although summer is short, it presents big opportunities for exploring entrepreneurship. Ready to seize the season? Here's a guide to starting a summer business.
Odds stacked against hosts Fulham for Craven Cottage finale?
Can Fulham be effective against with their last game of the season at Craven Cottage Stadium on Sunday? Both sides have secured Premier League status next season, with the Whites sitting in 13th, level on points but two places behind the Magpies. Fulham have lost six of their past eight Premier League games against Newcastle, although the did manage the double over them last season.
Could the secret to diagnosing endometriosis be hiding in plain sight?
Although menstrual blood is typically discarded, researchers are beginning to use it to reveal new clues about women’s health.
DNC's 2024 election autopsy criticizes Kamala Harris while sidestepping controversial elements of the campaign
Although the autopsy criticizes Democrats' focus on “identity politics,” the report does not address former President Joe Biden’s decision to seek reelection, the rushed selection of Harris to replace him on the ticket or the party's acrimonious divide over the war in Gaza.
Where do citizen science data come from?
Citizen science projects are playing an increasingly important role in ecological and conservation research worldwide. In these programs, members of the public support researchers by submitting photographs, audio recordings, observations, or even by contributing to data analysis. In Hungary, no fewer than 17 such initiatives combined their datasets in a joint study. The authors aimed to understand which socio-economic and environmental factors influence participation patterns in Hungary. By comparing the spatial distribution of citizen science data with an independent administrative dataset (municipality level data on income, education, demography, density and protected areas), the researchers identified several general trends as well as numerous project-specific relationships. For example, they found more per capita observations from municipalities with higher proportions of protected natural areas and lower population densities. Furthermore, excluding Budapest, the capital, both the proportion of people with diplomas and the proportion of elderly people showed a positive correlation with participation activity. In contrast, no consistent general pattern emerged regarding wealth or the proportion of children, although several project-specific relationships were observed. The study not only reveals how citizen science data are distributed across Hungary, but also provides robust support for the view that various biases must be taken into account when analyzing such data. The authors hope that their findings will help researchers in other countries design more effective projects and produce more accurate analyses by accounting for some of these or similar biases.
Trump endorses Paxton in Texas Republican primary, boosting effort to oust Sen. Cornyn
Although the four-term Cornyn has backed Trump’s agenda in Washington, Paxton pitched himself as a political warrior for the MAGA movement.
Rangers pitcher MacKenzie Gore leaves game with muscle tightness
Texas Rangers left-handed starting pitcher MacKenzie Gore left Monday night's game at Colorado after one inning because of muscle tightness in his back. Gore’s ailment occurred on the same day that the Rangers placed shortstop Corey Seager on the 10-day injury list because of lower back inflammation. Gore got up gingerly after diving to field a slow roller to the third base side, although it was not immediately clear if that play contributed to his injury.
Ford Europe plans five new vehicles to turn around passenger business
Although it has leadership in commercial vehicles on the continent, the Blue Oval has struggled with market share in the retail space.
🚨 Ligue 1: how relegation and Europe stand
Although marred by some Nantes ultras, who caused their match to be suspended, the final matchday in Ligue 1 was well worth it.At the top, Paris Saint-Germain, already champions, lost 2-1 away to thei...
Analysis: Black Cats' dream season continues
What a dream season it has been for Regis le Bris' Sunderland side on their return to the top flight for the first time since dropping out of the Premier League in 2016-17. Sunderland's win, which takes them above Everton, leaves them ninth, one point behind Brentford in eighth and two points behind Brighton in seventh, although Chelsea in 10th have a game on the Black Cats. With Manchester City beating Chelsea 1-0 in Saturday's FA Cup final, that means seventh in the Premier League would qualify for the Europa League, with eighth place going into the Conference League.
Angel Reese showered with boos after giving ‘too small’ gesture
Angel Reese is with the Atlanta Dream after starting her career with the Chicago Sky. The Dream traded to acquire Reese in what was the signature move of the WNBA offseason. Reese made her debut with the Dream on Saturday in a 91-90 win over the Minnesota Lynx. Although the Dream came out with the…
Boothbay Harbor businesses ready for tourism season
A report released late last month by the Maine Office of Tourism showed visits statewide were down 4.4% in 2025, although direct tourism spending exceeded $9 billion, a record high.
H.S. Baseball: Favorites and dark horses in each division
We’ve reached the halfway point in the NHIAA baseball regular season. Although we know much more now than we did when the season began, there’s still plenty to be determined.
Max Kellerman Disgusted By Dianna Russini, Mike Vrabel Coverage
It's no secret that NFL reporter Dianna Russini and New England Patriots coach Mike Vrabel have dominated the headlines this offseason. On April 7, Page Six shared photos of Russini and Vrabel at a hotel in Arizona. Although he initially slammed all the "laughable" rumors about them, Vrabel briefly ...
Sony forecasts lower gaming business sales amid memory price surge
STORY: Sony forecast lower sales in its gaming business due to a memory chip price surge.The tech giant said Friday annual sales in the segment would fall 6% to $28 billion.It also blamed lower hardware sales as its PlayStation 5 ages.Although the Japanese company said it expects gaming profit to rise 30%.That's due to higher first-party software sales and no repeat of the impairment loss it recorded a year earlier.Sony has been praised by analysts in recent years for its transformation into an entertainment powerhouse.But markets have grown concerned about the impact of AI on its business, while Sony also faces a perceived lack of growth catalysts.Both factors have weighed on shares in recent months.Investors are also concerned about the impact of a memory-chip price surge.As well as disruption to supply chains from the Iran war on margins at electronics manufacturers.The firm said it sold 1.5 million PS5 consoles in the fourth quarter, which was a 46% drop on the same period a year earlier.Looking ahead, the PS5 is expected to receive a major boost from the launch of the delayed "Grand Theft Auto VI."The game is due to release in November.Sony said in February it had secured the minimum quantity of memory needed to manage the year-end shopping season. Sony also said it sees higher profits at its pictures and chips units but a lower profit at its music business.The group reported operating profit for the year ended March rose 13.4% to $9.2 billion - below analyst forecasts. Meanwhile, rival Nintendo said it expects to sell 16.5 million units of its Switch 2 console in the financial year ending March 2027.It also projects profit to rise 2.7% to $2.36 billion.But, like with Sony, investors are concerned about the possible impact of a memory price surge on margins.
Science diplomacy lessons from a North Korean volcano
Mount Paektu, a mythic, active volcano on the border between North Korea and China, is almost the epitome of a scientific challenge that crosses political lines. In 946 CE, it erupted in one of the five biggest volcanic events of the past 10,000 years, kicking up huge quantities of ash and sending destructive mud flows down river channels for hundreds of kilometres. Should this happen again, the entire region, including easternmost Russia, South Korea and even Japan could be hit. “It’s definitely got the potential to be big,” said James Hammond, a professor of geophysics at Birkbeck, University of London. An eruption on the scale of 946 would have “huge regional impact.” For the past 15 years, Hammond has helped lead a groundbreaking collaboration with North Korean scientists to study the volcano, navigating scientific sanctions, tough export controls on scientific equipment and a long, pandemic-enforced exodus from the country. Although he seems more at home on far-flung research expeditions – before speaking to Science|Business, Hammond was camping out on a Greenland ice sheet – he has also advised the European Commission on its changing science diplomacy strategy. His long experience with North Korea has made Hammond sceptical of blanket bans on science collaboration, no matter the country.This is a live question in Europe, where in the wake of Russia’s 2022 invasion of Ukraine, institutional ties with Russian universities were almost entirely severed, although some scientists fear this could undermine our understanding of climate change’s impact on the Arctic. Here, Hammond tells the story of the Mount Paektu mission and the policy lessons he takes from it. Ominous rumblingsThe genesis of Hammond’s collaboration came in 2002, when Mount Paektu began to rumble ominously. Earthquake activity picked up and the volcano began to emit unusual gases. North Korean scientists took notice. “People felt we need to know more about this volcano,” said Hammond. In 2011, North Korean vulcanologists put out a request for international expertise to help them learn more. At the time, Hammond and his collaborator, Clive Oppenheimer, were working on a vulcanology project in another sanctioned country, Eritrea, and so decided to answer the call. Within a month, they had flown into Pyongyang. “It was pretty incredible,” recalls Hammond (left). “We were made to feel like honoured guests, and invited to official celebrations.” The scientific opportunity was huge. Paektu is unusually positioned, a thousand kilometres from where tectonic plates rub against each other in the Pacific. “It was an incredibly interesting volcano, but not much research had been done, at least not in the international community,” he said. “There was so much we felt we could do. And we had these partners that were super keen to engage.”The mission received an unusual visitor in the form of volcano-obsessed filmmaker Werner Herzog, who accompanied Hammond and Oppenheimer while directing his 2016 film Into the Inferno about volcanos across the world. Four days into the trip, the German director delivered a long speech about reunification to his North Korean hosts, recalls Hammond. “He got to the heart of the Koreans and how they felt, and how they thought, in a way that I'm not sure I ever will,” he said. UN sanctionsHowever, Hammond realised he’d been “naïve” about how difficult it would be to collaborate with North Korea, which was sanctioned far more heavily than Eritrea. “We didn’t fully appreciate the all-encompassing nature of restrictions,” he said. In 2016, as tensions escalated over Pyongyang’s nuclear tests, a United Nations resolution banned all joint scientific work with North Korea. However, the UN sanctions did allow countries to request carve outs, and the UK successfully requested an exemption for Hammond’s work. Related articlesEU pushes for joint science diplomacy, but care needed to avoid gridlock, experts sayRussia severs its last ties with German scienceAnchor Greenlanders in Arctic climate research, experts tell EU ahead of policy updateExport controls have also delayed Hammond’s work. In one case, it took 18 months to get approval from the UK government to take seismometers, which measure earthquakes, to North Korea. “It was frustrating,” he said. “But they didn’t just say no.” However, one instrument, called an induction coil, used to measure how the earth conducts electricity, was blocked entirely because it can in theory be used to detect submarines. Karaoke bondingSince the collaboration started in 2011, Hammond has visited the country around 15 times, although the pandemic closed off North Korea for more than five years. A trip last November was Hammond’s first since the outbreak. Despite this lengthy interlude, Hammond has deep bonds in the country. The North Korean scientists Hammond works with are somewhat isolated, as they struggle to access the latest research papers and travel to international conferences. That said, they are “excellent geophysicists” and are “very well trained in the field,” he said. Over karaoke and chats about their families, “we’ve made friendships, for sure,” he said. The authorities have to sign-off things like the placement of seismometers, for example, but Hammond said these requests have been approved. “Everything that we've asked for within a scientific context has been delivered.”Scientific backchannels? These kind of personal links between scientists across political lines are one purported benefit of science diplomacy. During the Cold War, some historians argue, scientific contact between the US and Soviet Union laid a groundwork of trust for other cooperation, such as on arms control. Hammond agrees that backchannel contacts to North Korean geophysicists are hardly likely to defuse a military crisis on the Korean peninsula, but the simple fact of the scientific collaboration makes contacts between diplomats that little bit easier. “It creates opportunities to understand each other a little bit better,” he said. “When maybe you have those more difficult discussions as diplomats, it's coming from a slightly better place.” Cutting tiesDrawing lessons from the Mount Paektu mission for today’s links with Russian science isn’t simple. The analogy is far from exact, Hammond said, “because one is essentially a Cold War, versus a pretty hot war in the case of Russia.” But Hammond’s broader argument is that the challenges we face, such as climate change, pandemics, biodiversity loss, pollution and so on, have globalised in an unprecedented way, making blanket shutdowns in collaboration with any country unwise.He’s somewhat critical of the UN scientific sanctions imposed on North Korea in 2016, even though they did allow for exceptions. “I think a blanket halt to some of these things, when we face big global challenges [. . .] that’s quite a risky thing to do,” he said.Institutional endorsement?European academics are still by and large free to work individually with Russian counterparts. However, official, institutional partnerships have largely ended. Shortly following the full-scale invasion of Ukraine in 2022, Russian university rectors wrote a public letter endorsing the war, meaning European universities fear official collaboration could also be seen as a kind of endorsement. Hammond acknowledges there is a risk of legitimising regimes, and state-controlled universities, through scientific cooperation. “That’s the trade off you have to make,” he said. Strategic projectsWith Russia, instead of giving a green light to restart all Arctic science, a middle ground might be firing up a few carefully selected “strategic” projects, said Hammond. After all, European countries are still collaborating with Russia on the International Thermonuclear Experimental Reactor, an experimental nuclear fusion plant in the south of France. However, even if Europe did try to revive Arctic science with Russia, there’s no guarantee Russian scientists would play ball. A series of high-profile arrests of physicists in Russia accused of sharing their findings with the outside world has made collaboration fraught. Even before the invasion of 2022, “the Russian regime made it increasingly difficult, and this sort of discouraged people,” Dag Rune Olsen, rector of the Arctic University of Norway, told Science|Business last year.
US and Iran closing in on memorandum aimed at ending war, source says
The United States and Iran are moving closer to an agreement on a short memorandum to end the Iran war, a regional source familiar with the negotiations said, although Trump administration officials cautioned that talks had previously fallen apart at the last minute.
A Look At AMC Entertainment (AMC) Valuation After Q1 2026 Earnings Update
Q1 2026 earnings put AMC Entertainment Holdings (AMC) back in focus AMC Entertainment Holdings (AMC) reported first quarter 2026 results with revenue of US$1,045.4 million and a net loss of US$117.1 million, drawing fresh attention to the stock. See our latest analysis for AMC Entertainment Holdings. The Q1 2026 update landed after a strong 30 day share price return of 41.96%, although the year to date share price return of a 1.24% decline and 1 year total shareholder return of a 40.67%...
AP Decision Notes: What to expect in Ohio's state primaries
Candidates for Ohio’s top elected offices will stand before voters in a statewide primary on Tuesday, although many of them are already looking ahead to the November general election. In
‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field
‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field ‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field A field that once seemed like a direct path to stable, lucrative work is becoming less certain under AI, students and faculty told Spectator. By Ria Vasishtha and Arjun Menon May 3, 2026 Shanying Liu / Deputy Illustrations Editor Asia Genawi, SEAS ’29, first encountered artificial intelligence during her sophomore year at her high school in Indiana. Back in 2023, policies on AI varied widely—even within the same district—and some schools had no guidance at all. As Genawi began to see the effects of AI trickle into her classroom, she turned to guidance from her home state’s Department of Education, which she said she found “outdated and inaccessible.” Genawi spent the rest of her high school career dedicated to the issue, including writing a 15-page memo exploring varying AI policies across Indiana schools, which she sent to every Indiana state senator and representative whose contact information she was able to find. She later helped draft a bill that would have required public high schools to establish and share their own AI policies with students in an accessible format. But with so many other bills already awaiting referral, hers never made it to committee. When Genawi arrived at Columbia to study computer science, she found that the gaps she had spent years trying to address in Indiana had followed her there. Many students and professors were also grappling with what AI meant for the field. Across Columbia’s undergraduate schools, computer science has become the most popular major—accounting for around 11 percent of degrees awarded in Columbia College, 32 percent in the School of Engineering and Applied Science, and 12 percent in the School of General Studies in 2024. While the number of computer science majors in SEAS grew from 166 to 173 during the 2024-25 academic year, the total number across the three schools fell around 4.5 percent from 393 to 375, driven by declines at Columbia College and General Studies. At Barnard, it has grown to become the second most popular major as of 2025, up from third the year prior. The number of degrees awarded have grown fivefold since 2016. Faculty members and students in the department told Spectator that the surge in the major’s popularity has been driven in large part by its apparent promise of a secure, well-paid career path. However, they noted that the recent rise of generative AI has compromised the sense of stability that once defined the field, even as interest in technical skills among students persists. According to data from the Federal Reserve Bank of New York in 2024, out of 74 majors tracked, computer science had the fifth highest unemployment rate among majors at 7 percent, while computer engineering had the second highest at 7.8 percent. “Anecdotally, people are moving away from CS as a major,” Daniel Bauer, a senior lecturer in the computer science department, said. “They’re still taking some of our classes, right, because they think they need that, but they’re instead majoring in other things.” Bauer described a field that had shifted from what he called a “nerdy outlier discipline” to one that “everyone needs,” a sign that technical skills have become a baseline expectation across industries with the emergence of AI. “A lot of people thought, ‘Oh, it’s a guaranteed path to a stable income. You get a six-figure job right out of your undergrad,’” Bauer said. Now, companies may see AI as a way to reduce demand for entry-level programmers, especially in what he calls “code monkey jobs,” roles where a large number of employees are “just writing out code nine-to-five.” Chris Murphy, a senior lecturer in the computer science department, described the current moment as the convergence of two forces: the downturn of the job market and generative AI coming onto the scene. “Things kind of started to really pick up in 2014, 16,” he said, recalling the years after the weaker 2010 market. Murphy added that this was also a period where “students were getting more experience outside of class than they were inside of class” through internships, jobs, and side projects. Murphy suggested that the earlier momentum helped make computer science feel like both an academic program and a reliable pathway into work. That feeling is harder to sustain now as the industry reconfigures, which is a shift that students are seeing firsthand. Rebecca Yu, SEAS ’27, said that during a recent internship in Big Tech, she saw that “every single tech company was racing to integrate” large language models. She added that her manager said her intern class was the first to complete their assigned projects, which she attributed to the increased efficiency that comes with AI. Frank Liu, SEAS ’29, said that with AI lowering the barrier to coding, companies now expect everyone to write code. “A lot of companies outright say if you’re not using coding in your job, you might get fired for not being productive enough,” Liu said. Yu similarly expressed that students increasingly have to accept AI being a part of industry workflow, adding that many also “make use of it to maximize their productivity.” Richard Li, CC ’28, described a “franticness” among his peers as the pace of change accelerates. He explained how “some new tool” is released regularly, noting that tools rise and fall in prominence within weeks. He has come to believe that he doesn’t need to “match that speed all the time” and keep up with every development. Li has learned that AI tools allow him to “take a breath” and “get back into the loop much easier than before” when he needs to. While some companies specifically target Columbia when hiring, sending representatives to campus career fairs and recruiting large numbers from Columbia, a computer science degree cannot be treated as a static credential, Yu described. “You can’t just get your degree and stop learning after that. You have to always be learning,” Yu said. “That is something you basically have to expect for your job.” AI has not only affected students’ decisions to major in computer science, but also reshaped how the subject is taught. Across departments, faculty members no longer treat work done outside the classroom as a reliable measure of understanding, shifting instead toward in-person exams, quizzes, and attendance checks. While homework once made up as much as 60 to 70 percent of a student’s grade in computer science classes, Murphy said that breakdown has since flipped, with exams and quizzes now accounting for the majority. “The assumption—especially among pessimists—is that they’re using it to do their homework,” Murphy said. “They take the homework assignment. They put it into generative AI. Out comes the solution. Submit solution. The end.” Murphy said that faculty members ranged in their responses from fully prohibiting AI use to actively teaching students how to effectively work with AI. He said he shifted his approach this year after his teaching assistants called his belief that students weren’t using the technology “naïve,” and now permits students to use AI on assignments. His surveys of students in his introductory classes have told a more complicated story than the one so-called pessimists offer: Around 60 to 70 percent of students who reported using AI said they used it to have concepts explained to them, to clarify assignment instructions, to generate test cases, or to create practice questions. “Those are all ways that you might have had a tutor in the past to do that, and now you have this AI essentially as your tutor,” he said. Bauer has taken a different approach, teaching students how to use AI productively without sacrificing the core principles of the discipline. “People who are trained to actually use AI tools productively, while being in charge of designing the overall project, will be very much in demand in the next couple of years,” he said. Over the past year, a working group of computer science faculty has been redesigning the introductory and intermediate programming sequence to integrate generative AI as both a subject and a tool, representatives from SEAS wrote in a statement to Spectator. The effort is “coordinated” across the department, “not course-by-course,” with a systematic assessment of how AI integration is affecting student outcomes underway to shape the next round of changes. The goal, the department explained, is for students to be able to “read, verify, and reason about code, whether they or a model wrote it.” Tony Dear, senior lecturer in the computer science department, is piloting individualized AI feedback in a discrete mathematics course, while a machine learning course is also testing a Socratic AI dialogue system designed to “guide inquiry rather than supply answers,” the statement reads. Beyond individual courses, SEAS funded seven cross-departmental faculty projects in generative AI this past academic year, spanning biomedical engineering, chemical engineering, industrial engineering, and computer science, according to the statement. This phenomenon extends beyond the computer science department. SEAS’ new AI minor, which it announced in November 2025, reflects the University’s attempt to adapt. The minor is specifically designed for noncomputer science majors and aims to provide “essential AI knowledge” while emphasizing practical and responsible use across disciplines, according to the SEAS website. At the center of the minor is AI in Context, a course taught by a team of faculty from the departments of computer science, applied mathematics, philosophy, music, literature, and the Writing Center, the representatives told Spectator. Bauer described it as targeted at students who want to bring AI into fields like economics or biology, rather than as a path into software engineering itself. At the graduate level, SEAS announced a new Master of Science in artificial intelligence in February, with the inaugural cohort starting in the fall. While recognizing how AI has helped them navigate coursework, students also described its rise as isolating, even among members of the Application Development Initiative, one of Columbia’s largest computer science clubs. “As people start to ask AI for questions that they would normally ask students and members, it starts to isolate people” Li said. Alexa Kafka, BC ’27, echoed Li’s sentiment, pointing out that computer science has always been a collaborative discipline with code reviews and pull requests, even as AI makes independent work easier. Despite this, Kafka noted that she hasn’t been to office hours “in at least a year.” Bauer added that faculty are exploring long-term solutions to the assessment problem. “One of the things that we’re trying to do at the department or school level is to maybe move towards computerized testing facilities,” Bauer said, referring to ideas in the department to revitalize computer labs as an alternative to pen-and-paper exams. “We have to accept that this is the reality, for better or worse.” But more exams, students say, does not mean better learning, nor does it reflect how computer science is actually done. “Code is so variable and can be approached in so many directions, there’s never just going to be one correct answer. There can be multiple optimal solutions,” Kafka said. Students also expressed concern that the shift toward exam-heavy grading pulls focus away from the applied, project-based work that better reflects both discipline and industry expectations. ADI has tried to respond more quickly than the curriculum can. Through a vibe coding workshop this past semester, club members said they wanted to help students understand not just that AI exists, but how to use it deliberately. “Vibe coding” refers to the practice of prompting AI to write code for a task or project, and has become widespread enough that ADI felt the gap in formal instruction was worth addressing, according to Sophia Huang, BC ’29. The workshop introduced students to the concept of context engineering, which Shaina Sahu, SEAS ’27, described as not just writing a prompt, but optimizing “the rest of the relevant information that you would feed into the model.” Without that, students said that AI-generated code can fail at scale or introduce difficult-to-detect bugs. Genawi said the shift toward AI has changed what it means to be good at computer science. “I think the shift has kind of gone towards what can you create and what can you do, instead of, what do you know,” she said. Indeed, during ADI DevFest, its annual hackathon, Li said more teams are trying to complete their projects than in years past. While sign-ups have historically outpaced submissions, Li said this is beginning to change because teams “have a tool that completes the vision for them.” While many students see AI as an equalizer that lowers the barrier to entry for coding and technical work, Murphy said it also creates new equity concerns inside the classroom around who can afford stronger tools and who already knows how to use them. “The equity issues I worry about are students who have access to paid versions of things versus free versions of things,” he said. Although popular AI models like ChatGPT and Claude have free versions available, both have paid models that can reach over $100 per month, which output different qualities of code. Murphy also pointed to differences in prior exposure to AI literacy itself. “Students who go to high schools or K-12 education, where they’re taught AI literacy, prompt engineering, context engineering, they understand how to do this, as opposed to students who go to schools who don’t teach that,” he said. “Then they come in, and then they’re somehow expected to know how to use these tools.” For Genawi, those disparities begin long before students arrive on campus. “It’s very interesting to consider how lucky you were geographically,” she said. “To be born where you were is influencing your ability to get access to these spaces.” Students like Yu, though broadly apprehensive about the future of computer science, are not without hope. “I’m optimistic, because I think if you’re truly passionate about CS, there will definitely be a place in the field to do something you want to do,” she said. Senior Staff Writer Ria Vasishtha can be contacted at ria.vasishtha@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Staff Writer Arjun Menon can be contacted at arjun.menon@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Want to keep up with breaking news? Subscribe to our email newsletter and like Spectator on Facebook. Produced with Spectate by Emily Ta
Mr. Karate revealed for Fatal Fury: City of the Wolves though he looks a bit different now
Although it just began months ago, Fatal Fury: City of the Wolves is quickly approaching the end of its second season already, but there's still a few characters left joining the roster soon.During Evo Japan 2026, SNK revealed ...
Indiana Jones and the Great Circle gets first Nintendo Switch 2 gameplay
The first pure gameplay for the upcoming Nintendo Switch 2 version of Indiana Jones and the Great Circle is now available. A new 15-minute video has surfaced with the footage. It looks like the gameplay here is taken from an early portion of the title. Although we did get a trailer previously, this is our first extended, uninterrupted look at...
Is Caesars Entertainment (CZR) Offering A Chance After Mixed Long Term Returns?
If you are wondering whether Caesars Entertainment at around US$27.38 is a bargain or a value trap, the starting point is understanding what the current price actually reflects. The stock has returned 7.4% over the past month and 16.2% year to date, although the 1 year return is 1.2% and the 3 and 5 year returns are negative at 37.8% and 73.4% respectively, which can change how investors think about both upside potential and risk. Recent headlines have focused on Caesars Entertainment's...
Broncos Fans Worried About Bo Nix's Status For 2026 Season
We're still several months away from the start of the 2026 season, but Denver Broncos fans are already panicking about Bo Nix's status for Week 1. Nix finished his second season in Denver with 3,931 passing yards, 25 touchdowns and 11 interceptions. Although he was inconsistent at times, he saved ...
NASA Curiosity rover finds mysterious life linked molecules on mars
Curiosity has detected a surprising variety of organic molecules on Mars, including compounds tied to the chemistry of life. Some of these molecules may be billions of years old, preserved in ancient clay-rich rocks that once held water. One standout find resembles building blocks of DNA, raising exciting questions about Mars’ past. Although not proof of life, the discovery suggests the Red Planet may have once been far more biologically promising than we thought.
Steam Frame isn't Launching Alongside Steam Controller on May 4th Due to RAM Shortage
Steam Controller, Valve’s next-gen gamepad, is slated to launch on May 4th for $100, although you shouldn’t expect to see a big ‘buy’ button next to Steam Frame or Steam Machine. Speaking to Polygon, Valve revealed that it’s only releasing Steam Controller next month for a pretty important (and slightly obvious) reason: Steam Controller “doesn’t […]
City touts long-term rewards of hosting NFL Draft even as some businesses took losses
Although local businesses had been hoping for better sales during the NFL Draft, officials remain optimistic that the success of the event will bring visitors...