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'Daredevil: Born Again' season 2 finale's surprise reveal confirms Marvel casting
The 'Daredevil: Born Again' season 2 finale comes with a surprise character reveal with big implications for season 3.
Zambia blasts the US over a $2 billion health deal in exchange for critical minerals
HARARE, Zimbabwe (AP) — Zambia is accusing the United States of tying a $2 billion deal for critical health assistance to access to the southern African nation's rich mineral assets, and calling the outgoing U.S. ambassador's allegations of corruption “mischievous” and “undiplomatic."
KidStrong offers science-based training program for children in Louisiana
KidStrong is a science-based kids training program designed to help children develop strength, confidence and character.
Newly released documents reveal more than $300,000 in taxpayer-funded sexual harassment settlements involving lawmakers
Taxpayers have paid more than $300,000 in confidential sexual harassment settlements on behalf of six former members of the House of Representatives or their offices, according to GOP Rep. Nancy Mace and documents reviewed by CNN.
Capcom Responds to Resident Evil Requiem DLSS 5 Backlash: "We Got the Design Right"
When NVIDIA first revealed DLSS 5 and its neural rendering, a lot of the online backlash that was leveled at the feature centered around Capcom's Resident Evil character, Grace, and how DLSS 5 changed her facial features. Now, in a recent interview with Eurogamer, Koshi Nakanishi and Masato Kumzawa,...
Celebrating Seattle’s small businesses every day
National Small Business Week is a time to celebrate the important contributions of our small businesses to Seattle’s economy. They bring character to our neighborhoods, drive our economy, and embody what makes Seattle special. “Small businesses are the backbone of our economy. For every dollar we invest in a small business, 75 percent comes back […]
Leon Could Be '70' and Still Be a Great Character, Resident Evil Director Says
Capcom wants players to know that old age won't keep Leon Kennedy out of games set after Resident Evil Requiem because he'll probably "still be a great character" even "when he's 70."
Bennington police investigate armed robbery of Park Street business
BENNINGTON — On Sunday at about 10:45 a.m., the Bennington Police Department responded to Beshara’s 99 Cents & Up, at 119 Park St., following a report of an armed robbery.
'Devil Wears Prada 2' director explains returning star's surprise death scene
'The Devil Wears Prada 2' director David Frankel explains why one returning actor 'had to die' in a shocking death scene twist — and later showed up to watch his peers film his character's funeral.
Tekken 8 DLC character Kunimitsu launches May 27 for Season 3 Character Pass owners, June 1 for all
Tekken 8 Season 3 downloadable content character Kunimitsu will launch on May 27 for Season 3 Character Pass owners and Jun 1 for everyone else, Bandai Namco announced.
Kunimitsu trailer for Tekken 8, character releases for early access on May 28th
At the Tekken World Tour 2025 Finals back in January, Bandai Namco unveiled their Season 3 trailer which showed us that the game's third season will consist of Kunimitsu, Bob, Roger Jr. and a brand new character.As promised ...
A Look At WEBTOON Entertainment (WBTN) Valuation As Genies Partnership Expands 3D Avatar Opportunities
WEBTOON Entertainment (WBTN) recently announced a partnership with AI avatar company Genies to bring its English platform characters into interactive 3D chat experiences, digital collectibles, and creator tailored avatar tools. See our latest analysis for WEBTOON Entertainment. The Genies partnership arrives after a sharp pickup in momentum, with WEBTOON Entertainment’s 30-day share price return of 35.79% and 7-day return of 18.96% lifting the latest price to $13.24. The 1-year total...
New in-game animation for Ingrid shown off by Street Fighter 6 Director
Ingrid is the final character coming to Season 3 of Street Fighter 6. She'll become available for players to use starting on May 28, 2026.The Street Fighter 6 developers recently treated fans to Ingrid's pre-fight animations. Evidently ...
Fatal Fury: City of the Wolves DLC character Mr. Karate announced
SNK has announced Fatal Fury: City of the Wolves Season 2 downloadable content character Mr. Karate from Art of Fighting. He will launch in May.
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 ...
NASA Aircraft Studies Tiny Particles with Atmospheric Impacts
Scientists from NASA and the National Oceanic and Atmospheric Administration (NOAA) have turned to one of NASA’s high-altitude research planes to characterize
DEAD OR ALIVE 6 Last Round ‘The King of Fighters XIV Collaboration’ trailer
Publisher Koei Tecmo and developer Team NINJA have released a new trailer for DEAD OR ALIVE 6 Last Round introducing the game’s collaboration downloadable content characters Mai Shiranui and …
Is ‘9-1-1’ About to Kill Off Another Major Character?
Plus, Buck gets a blast from his past, then faces a devastating call.
House Ethics Committee investigating allegations of sexual harassment against GOP Rep. Chuck Edwards
The House Ethics Committee is investigating allegations of sexual harassment against GOP Rep. Chuck Edwards, according to two sources familiar with the matter.
InvestigateTV+: ‘Junk science’ and harassing debt phone calls
We look at the discredited FBI bullet analysis; a method experts now call “junk science,” and the push to reopen convictions
Northwood University Celebrates 2026 Class of Outstanding Business Leaders
Gala honors achievement, raises scholarship funds, and inspires students to pursue lives of meaning, leadership, and earned success Northwood University celebrated five honorees whose vision and leadership have transformed industries and communities on Saturday, April 18, during the 46th Outstanding Business Leader Awards Gala at the Henry Ford Museum in Dearborn, Michigan. The gala brought together honorees, alumni, students, donors, and university leaders for a signature event rooted in Northwood’s mission to develop free-enterprise leaders who drive global economic and social progress. This year’s honorees represented an array of industries, including entertainment, entrepreneurship, construction, manufacturing, motorsports, and automotive retail. “Outstanding Business Leader Awards is one of the most meaningful traditions at Northwood University,” said Dr. Kent MacDonald. “It gives our students the opportunity to learn directly from leaders who have built exceptional careers through vision, perseverance, personal responsibility, and service to others. What makes these honorees special is that their impact reaches far beyond business success. They create jobs, strengthen communities, open doors for others, and lead with purpose. They remind our students that free enterprise, when guided by character and integrity, can be a powerful force for good.” Since 1981, the Outstanding Business Leader Awards have recognized exceptional business leadership while supporting student opportunity through the Outstanding Business Leader Endowed Scholarship Fund. Prior to the gala, honorees met with Northwood students during a roundtable conversation designed to give students direct access to first-hand mentorship and career insight. The student-centered experience continued that evening, as each honoree was formally introduced by a Northwood student selected through a competitive process that drew more than 50 applicants this year. The experience reflects Northwood’s emphasis on learning through experience and providing students with meaningful opportunities to build confidence, connections, and professional momentum before graduation. The following honorees and presenters were featured at this year’s Outstanding Business Leader Awards Gala: Paul A. Glantz, chairman and CEO, EH Real Estate LLC; chairman emeritus, Emagine Entertainment Inc., was introduced by Kennedy Williams, a marketing communications and automotive aftermarket management student from Farmington Hills, Michigan. They are pictured with Gala Emcee Steve Madincea (far left) and Northwood University President Kent MacDonald. Jennifer Tenaglia Panning ’92, president, Artisan Tile Inc., was introduced by Karley Baker, a finance and marketing student from Washington Township who is enrolled in Northwood’s four-year bachelor/MBA track. Danny Sullivan, 1985 Indianapolis 500 champion, 1988 IndyCar World champion, and 1994 Rolex 24 at Daytona champion, was introduced by Max Hart, an automotive marketing and management student from Cheboygan, Michigan. Reagan Cordes, a sales management student from Davison, Michigan, is pictured introducing Linzie Venegas, chief operating officer of Ideal Group, who was unable to attend the gala. Larry Zinn, executive general manager of Warren Henry Auto Group and a 2008 Northwood alumnus, was honored to accept the Outstanding Business Leader Award on behalf of his father, Warren Henry Zinn ‘77, who was unable to attend Saturday’s gala. Larry Zinn was introduced by Bella Smylie, a data analytics student from Clare, Michigan. “This gala is about more than recognizing business excellence; it’s also about investing in students and reinforcing the relationships that make Northwood special,” said Advancement Vice President Murray Kyte. “We celebrate leaders whose lives reflect The Northwood Idea while raising scholarship funds to invest in students whose ambition, character, and entrepreneurial spirit reflect the values Northwood seeks to advance.” “During my time at Northwood, I’ve been fortunate to experience things I never could have imagined,” said Baker, who added she was honored to form a meaningful connection with her Outstanding Business Leader honoree. “…Northwood builds a network that stretches far beyond these walls, one shaped by shared values, a belief in free enterprise, and a conviction that business, done right, can change lives.” To learn more about this year’s honorees and gala sponsors, visit the Outstanding Business Leaders Awards webpage at www.northwood.edu/advancement/signature-events/outstanding-business-leader-awards/. Share this page
Maria Sharapova's second act is all business
The tennis great talks Nike negotiations, boardroom pressures, the end of Sugarpova, and why today’s female athletes need to watch out for sharks.
2025's Worst-Reviewed Game Is Getting A Big Price Drop
A new story mission starring a new character has also been added to Mindseye
Webtoon Entertainment Partners With Genies to Expand Digital Experiences
Webtoon Entertainment and Genies are partnering to bring new character-driven chat and digital experiences to the company’s platforms.
WEBTOON Entertainment Partners With Genies to Expand Character-Driven Fan Experiences With Digital Avatars
LOS ANGELES, April 27, 2026--WEBTOON Entertainment Inc. (Nasdaq: WBTN), a global entertainment company and home to some of the world’s largest storytelling platforms, today announced a strategic partnership with Genies, the AI avatar technology company powering the next era of interactive digital identity, to develop character-driven chat and digital experiences.
WEBTOON Entertainment Partners With Genies to Expand Character-Driven Fan Experiences With Digital Avatars
WEBTOON Entertainment Inc. (Nasdaq: WBTN), a global entertainment company and home to some of the world’s largest storytelling platforms, today announced a s...
Madrid Locals Are Fighting to Preserve the City’s Soul
As the city morphs into a luxury tourist destination, struggling small businesses are pushing to retain the character that drew many tourists in the first place.
Sydney Sweeney's business strategy: A blank canvas for roles and brand deals
Sydney Sweeney is back in the news thanks to HBO's hit show "Euphoria." Like her character, Cassie, Sweeney is a magnet for controversy and discourse.
'Euphoria' new episode hits major character with shockingly gory surprise
'Euphoria' season 3, episode 3 just hit Jacob Elordi's Nate with a shockingly gory surprise after the character's wedding to Sydney Sweeney's Cassie.
Small Antarctic Telescope Makes An Outsized Impact On Exoplanetary Science
ASTEP, the Antarctic Search for Transiting ExoPlanets, a small visible telescope operating at Concordia station, continues making a real impact in characterizing odd new exoplanetary systems.
10x Science: $4.8 Million Raised To Build AI Platform For Molecular Protein Characterization
10x Science, an artificial intelligence company focused on molecular-level protein characterization, announced that it has raised $4.8 million in seed funding led by Initialized Capital, with participation from Y Combinator, Civilization Ventures, Founder Factor, and a group of strategic angel investors. The round was oversubscribed and will support the company’s efforts to scale its platform and expand partnerships across the life sciences ecosystem.
Square Enix has thought about making a single-player Final Fantasy 14
According to Fantasy 14 director and producer Naoki ‘Yoshi-P’ Yoshida, Square Enix has thought about making a single-player game set in the same world. Yoshida made the remarks during a press event. He was asked about the possibility of creating a different type of game that would be single-player that potentially follows side characters or a different period of time....
Ventriloquist gives voice to comic characters in 2 musical shows for2026 at Bird-in-Hand Stage
Ventriloquist Ryan Bomgardner of Lititz recently opened another season of his family-friendly musical-comedy shows at Bird-in-Hand stage.
How NCAA Career in Sports Forum helped Harding’s Hudson Vaughn clarify his mission
Harding student-athlete Hudson Vaughn's journey has been defined by turning adversity into achievement, using challenges as a catalyst and character as the foundation for leadership and innovation.
Topological control of chirality and spin with structured light
Light: Science & Applications - Pancharatnam topological charge drives deterministic spin-orbit interactions in paraxial free space, inducing tunable optical chirality and radial spin...
Land, Power, and Property Rights: The Political Economy of Land Titling in Sub-Saharan Africa -
Land, Power, and Property Rights: The Political Economy of Land Titling in Sub-Saharan Africa By Matthew K. Ribar, Stanford University Only 15% of African households possess a formal title for their agricultural land, despite the [...]
Street Fighter 6 DLC character Ingrid launches May 28
Street Fighter 6 downloadable content character Ingrid will launch on May 28, Capcom announced.
Gamers sue Nintendo over tariff refunds, saying consumers should get the money back
Two gamers have filed a class action lawsuit against Nintendo, alleging that the company will be unjustly enriching itself with any refund it secures from the U.S. government over widespread tariffs last year that, among other things, hiked the prices of Nintendo hardware and accessories. “Unless restrained by this Court, Nintendo stands to recover the same tariff payments twice—once from consumers through higher prices and again from the federal government through tariff refunds, including interest paid by the government on those funds,” the suit states. Nintendo sued the U.S. government to secure a tariff refund in March, after the Supreme Court struck down the tariffs a month prior, saying they were illegally implemented by President Donald Trump.. The gamers who have sued, California-based Gregory Hoffert and Washington-based Prashant Sharan, both say they purchased Nintendo goods that had increased in price due to tariffs, according to the complaint. They filed their suit in the Western District court of Nintendo of America’s home state of Washington and are seeking class action status to represent all people in the U.S. who purchased price-hiked Nintendo goods between February 1, 2025 and February 24, 2026. They allege that Nintendo’s recovery of any tariff refunds would constitute unjust enrichment and violate Washington state consumer protection law. Similar class action lawsuits pressing companies to pass on tariff refunds have been previously filed against FedEx, UPS and eyeglass importer EssilorLuxottica. The tariffs were announced in early April, and by mid-month, Nintendo had announced $5 price increases for controllers for the then-forthcoming Switch 2. In August, it raised the price of the original Switch. In their suit, the gamers cite comments from Nintendo executives connecting the tariffs to price increases. In May 2025, a month after the tariffs were imposed, Nintendo CEO Shuntaro Furukawa told investors “Our basic policy is that for any country or region, if tariffs are imposed, we recognize them as a part of the cost and incorporate them into the price.” Nintendo’s March lawsuit, along with tariff-recovery suits from hundreds of other companies was immediately put on hold pending the implementation of a refund system. The U.S. government announced the beginning of the refund process earlier this week. Companies could receive as much as $160 billion, per CNBC. In March 2026, after Nintendo filed its lawsuit to recover the cost of the tariffs, I asked the company if they planned to pass their refund on to customers who’d paid increased prices. The company’s response acknowledged the existence of the lawsuit but avoided answering that question: “We can confirm that we filed a request. We have nothing else to share on this topic.” Even a promise to consumers may not have spared Nintendo this week’s lawsuit. FedEx previously promised to pass its tariff refunds on to consumers. They’ve been sued over them anyway.
Capcom provides a first look at Ingrid's in-game render before the debut of her gameplay trailer tonight for Street Fighter 6
Ingrid is the next character coming to Street Fighter 6 as DLC. She's set to be the final challenger of Season 3.Needless to say, fans are already discussing the rumors surrounding the Season 4 lineup. While that rumor ...
Miyamoto wants to adhere to Peach's backstory in The Super Mario Galaxy Movie in future games
Without diving into spoilers, The Super Mario Galaxy delves more into Princess Peach as a character and her backstory. According to Shigeru Miyamoto, this is something Nintendo will look to adhere to moving forward. Nintendo Dream recently mentioned to Miyamoto that Peach has been expanded upon in The Super Mario Galaxy Movie. He was asked if what’s shown can be...
Kylie Jenner sued by former housekeeper alleging hostile work environment
Kylie Jenner is being sued by a former housekeeper who says she has post-traumatic stress disorder after allegedly suffering 'severe harassment' from fellow staff while working for the beauty mogul.
Rumor: Street Fighter 6 Year 4 DLC characters leak, includes big crossover
A leaker with a reliable track record has allegedly leaked DLC characters for Street Fighter 6 Year 4, which includes a big crossover.
Rumor: Street Fighter 6 Season 4 DLC character roster potentially leaks online including big Final Fantasy crossover
Street Fighter 6 is getting ready to close out its third season of DLC content with Ingrid on the way in the near future, but we may now already know who is coming after her.A potential leak of Street ...
Revitalizing Primary Care: Health Plan of San Mateo’s Investment Strategy
Abstract Health systems that invest in primary care have better and more equitable health outcomes. Yet primary care faces a crisis (characterized by
Shaky political science: using "simulated" elections over real-world elections
[Dear DSOS readers – this article is the latest in our “Shaky Political Science” series. In our 38 page report, “Shaky political ‘science’ misses mark on ranked choice voting,” released in early December, we examined over 40 studies focused on ranked choice voting. We found that many of these studies suffered from puzzling research methodologies, poorly constructed surveys, unrealistic simulated elections, cherry picked data, and faulty analyses that often were contradicted by results from real-world elections (a link to our full paper is here). Here are links to the first three articles in our series: the first one summarizing the overall results of our report, the second one analyzing a study co-authored by University of Minnesota academic Larry Jacobs, which was one of the most error-prone of all the research we reviewed in our report, and a third article showing an admirable example of two political scientists holding two other political scientists accountable for their flawed, sloppy research]. In this fourth article in our “Shaky Political Science” series, we shine a spotlight on seven studies that were web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group (the ERRG is an ad hoc committee headed by New America’s Political Reform Program and joined by the American Enterprise Institute, the Unite America Institute and Stanford University’s Center on Democracy, Development, and the Rule of Law). This research consortium has been led by Lee Drutman, senior fellow with New America’s Political Reform Program. These seven studies are simply not credible from any objective standard about how political “science” is supposed to illuminate our understanding of either ranked choice voting or politics in general. The feature that six of these seven studies have in common is that they all used surveys – artificial, simulated elections -- to attempt to say something cogent or interesting about ranked choice voting (RCV) elections. None of them used real world data from actual RCV elections – either the 1000+ elections in the US or the many thousands of elections from places like Australia, Ireland and elsewhere where RCV has been used for 100 years. While a few of these studies conclude with some mixed positives about RCV, our analysis here is content neutral. The idea that, with a political reform like RCV, you can ask respondents in a mock, artificial election to vote with that method, with only the barest of explanation about how RCV works or its likely impacts (i.e. no spoiler candidates, majority winners, voters liberated to pick their favorite candidates, coalition-building), and then ask them their thoughts/reactions about voting in that system, with fake candidates and no real campaigning, no real exposure to an actual election or actual candidates, rests on some very puzzling assumptions. The findings of these seven studies actually are contradicted by the findings from many other studies based on real-world RCV elections. These New America studies also failed to list the real-world RCV studies in their own citations, instead including those studies that reinforced their conclusions. The seven studies featured in this article were chosen because they form a cohesive cohort which precisely illustrates one of the main points of our research paper, namely that using surveys, i.e. artificial elections, or mathematical/theoretical models, instead of real-world data, is in fact “shaky political science.” Below are summaries of our analysis of five of the seven New America studies. You can read our complete analysis of all seven studies at our paper, “Shaky political ‘science’ misses mark on ranked choice voting.” Choosing to “Vote As Usual” by Andre Blais, Carolina Plescia, and Semra Sevi. New America. (Blais et al., 2021). This study, web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group, used two surveys in which respondents completed ballots for simulated elections using plurality, approval, RCV and point (Score) voting. In both cases the authors provided the respondents with only minimal explanation of each method. For example, the entire explanation for RCV was “For this vote, rank the candidates from your first to your last choice (you do not need to rank them all). This is called the ranked vote.” That’s it. The study did not provide any context or explanation to survey respondents about why she/he might want to rank multiple candidates. Participants were not even told that ballots would be tabulated using an “instant” runoff, not to mention any description of RCVs ability to eliminate the spoiler effect or liberate voters to rank their favorite candidates without fear of helping the “greater evil” candidate to win. That’s like taking an iPhone back in time to 1970 and asking someone if they like it better than their rotary phone without explaining how it works. Their first survey targeted states that held 2020 Super Tuesday Democratic primaries and used the real candidates’ names in the survey; the second survey used fictitious candidates. In other words, they surveyed respondents who had only ever participated in plurality elections, had no history or background with using RCV or any of the other methods, had no clue about its likely impacts, and did not communicate how the alternative methods would be counted, and then asked them: “How satisfied are you with using each system?” Predictably, the winner was plurality elections, the system used for president, Congress, gubernatorial and state legislative elections – in other words, the method they have been using, year after year, all their voting lives. With so little explanation of RCV and its impacts, this study is simply not credible in discovering anything useful about real-world RCV elections. It merely shows that a basic voter education campaign is needed when adopting a new election system. Additionally, the result contradicts many other post-election surveys following real RCV elections, asking opinions from voters who had just participated in a RCV election, that showed a great deal of satisfaction with RCV (see details on that in Studies 22-25 in our paper, as well as the four studies cited in the review for Study 28). Share Other studies on “satisfaction” and “understanding” make similar mistakes, in terms of basing their surveys on inadequate explanation to respondents and lack of education about context. How could any survey ever hope to measure accurately, in essence simulate a real-world election, without actual campaigning candidates, the media writing about those candidates, organizations endorsing candidates and voters being inundated with crucial information? More than anything, what these “studies” based on surveys show is that if you ask voters about something they don’t know very much about, and fail to adequately educate them, their responses will unsurprisingly reflect their confusion. Equally puzzling is that New America’s Electoral Reform Research Group, headed by political scientist Lee Drutman, found this to be a credible enough study that they not only published it but highlighted it in Drutman’s own discussion of research related to ranked choice voting. This pattern was repeated in study after study featured by New America’s Electoral Reform Research Group. For example in Ranked-Choice Voting and Political Expression: Voter Guides Narrow the Gap between Informed and Uninformed Citizens by Cheryl Boudreau, Jonathan Colner, and Scott MacKenzie, the researchers based their analysis on a survey which found that respondents who were asked to vote in a simulated RCV election, with minimal explanation of RCV or how it works, displayed less evidence of being informed about how to use RCV effectively, with the least informed voters ranking fewer candidates. As pointed out under the study above, in a real election voters are informed by a wide variety of methods, including public education by the election administration, by interested political groups, the media, and the candidates themselves who benefit from voters being aware of how to vote in the new system. In Support for Ranked-Choice Voting across Race and Partisanship by Joseph Anthony, David C. Kimball, Jack Santucci and Jamil Scott, the researchers used respondents from different parties and races voting in simulated plurality and RCV elections, who indicated their satisfaction with each voting method. Instead of using real world election results, the authors fell back on the easy, armchair and less reliable academic research methodology of making up mock elections. As with the other studies, little explanation was given of how RCV works or what its implications might be (electing majority winners or eliminating spoilers, for example). Unsurprisingly, this study found that respondents were not very satisfied with RCV. However, when the authors added an explanation that RCV has a tendency to elect more women and people of color, they found that this greater explanation increased the preference for RCV. The more voters were familiar with it, and the more they understood potential positive impacts – surprise! -- the more they were open to switching away from the status quo. Of note, the results from this study are thoroughly contradicted by a number of other studies whose data was obtained from real RCV elections with real voters. Those studies show a great deal of satisfaction with RCV. More “fake election” research An interesting wrinkle on this “research by fake elections” approach, which only served to illustrate how unreliable such “research” can become, was taken in Ranked-Choice Voting, Runoff, and Democracy: Insights from Maine and Other U.S. States by Joseph Cerrone and Cynthia McClintock_,_ also web-hosted and funded by New America’s ERRG. It gets high marks for creativity, but an eye-roll for thinking this could possibly add anything meaningful to our understanding of real world RCV elections. This study tried to determine whether RCV, plurality or two-round runoff elections provided greater voter satisfaction and acceptance of election results. To determine that, the authors conducted a survey asking if voters were satisfied with a fictional newspaper report of an election, with three different versions given to respondents – plurality, runoff and RCV, with variations of Republican/Democrat winners and variations of “come-from-behind” winners,” i.e. candidates not initially in first place but who win the “runoff.” Again, a minimal explanation of RCV or how it works was given, and the survey showed that respondents had the greatest unfamiliarity with RCV than the other methods. The unsurprising result? Respondents were much more satisfied with “come-from-behind” victories in a traditional two-round runoff election than in RCV, even though RCV is also a runoff system but with a single round of counting. Interestingly, the dissatisfaction with RCV disappeared for those who were more familiar with RCV. In fact, among those respondents who were “very familiar” with RCV, they were equally satisfied with RCV, runoff and plurality. Surprise, surprise. Again, what this study revealed, more than anything, is not only the inadequacy of the explanation for RCV given by the authors of this study, but the failure of the research format itself, thinking that such an artificial mock election could somehow simulate what actually happens in the real world in a real RCV election. Those four studies reviewed above are fitting examples of inadequate and shaky political “science.” Other studies reviewed in our paper from the New America/Electoral Reform Research Group cohort which also used mock elections included: Ranked-Choice Voting is an Acquired Taste by Joseph Anthony and David C. Kimball. New America. (Anthony et al., 2021). Ranked-Choice Voting is No Refuge for Extreme Candidates by Melissa Baker. New America. (Baker, 2021). Also included in this New America cohort is Does Ranked-Choice Voting Reduce Racial Polarization? by Yuki Atsusaka and Theodore Landsman, which actually did use real-world election results data but applied an odd and unconventional methodology to the data which relied on shaky assumptions and non-real-world scenarios that were too divorced from reality. To determine levels of “racially polarized voting,” the researchers imagined “ethnic parties,” by which they mean political parties for each ethnic group, which was especially odd since the election data they were using came from nonpartisan RCV races. But then they made an even odder assumption, namely that since race and ethnic characteristics of studied voters were not available, the authors tried to infer that information based on who voters selected and the racial make-up of voters in each district. This amounted to little more than vague and ambiguous guesswork dressed up with a bunch of mathematical equations used to give it a veneer of scientific appearance. Indeed, it seemed to assume racial polarization in order to prove racial polarization. Based on this questionable methodology, the authors concluded that RCV doesn’t reduce racial polarization. But the premise of this study missed an obvious reality: since RCV incentivizes more candidates to run and can result in more diverse fields of candidates, one would expect more racially-polarized voting in voters’ top rankings, not less, because more voters would have someone on that ballot who represents their racial or ethnic identity and more freedom to vote for their real first choice. By encouraging more diverse candidates and eliminating the spoiler effect, RCV facilitates voting for a favorite candidate of your own race and then selecting a second choice with the best likelihood of winning. The real measure is what voters do with their additional rankings – do they consider other candidates and vote “for the best of the rest”? This study didn’t tell us anything useful about that. But readily available data shows this is common in real RCV elections, and candidates act on this knowledge by engaging with voters outside their racial group. So the authors of this study failed to consider or account for what actually happens in real-world elections, and their conclusions are tainted by this failure. New America has contributed a great deal over the past 2.5 decades to our understanding of many policy areas, including politics and political reform (full disclosure: Steven Hill, one of the authors of this article and of the “Shaky Political Science” research paper and series, is a former senior fellow and former director of New America’s political reform program, 2005-2010). So it was especially disappointing that New America funded and published such a large batch of dubious studies about ranked choice voting. The stated praiseworthy goal of its Electoral Reform Research Group was to inspire new academic research about ranked choice voting that would shed light and help the public better understand the impacts of RCV. Instead, the ERRG research did just the opposite. It produced dubious research that created more confusion and misinformation. In so doing, New America’s political reform program contributed to “shaky political science.” Steven Hill and Paul Haughey Share Upgrade to $5 subscription Thanks for reading DemocracySOS, a reader-supported digital portal for the pro-democracy movement. Subscribe for only $5 per month to receive full benefits and to support our work. Subscribe
🗞️ Front pages: glory and future collide on Tuesday
A quick trip to the newsstand to check out today’s front pages.From excitement and Real Madrid’s future to Barça’s transfer plans, via a historic party in Donostia. A varied cast of main charac...
Ball x Pit's next update adds 11 more balls to the fray on April 27
A pair of new characters, more passive abilities and a fresh building are included in The Shadow Update.
Therapist unpacks social media’s impact on teen mental health, friendships
Child and adolescent family therapist Darby Fox discusses new research on how teens perceive social media. Many credit Snapchat with helping friendships, but most report online harassment and bullying.
When former friends conclude we are the problem, we have a problem
April arrived in Colorado this year displaying the Janus-like dual visages that characterize MAGA America. The ecstatic, giddy enthusiasm of the Artemis crew which just circled the moon before returning to a near perfect splashdown off San Diego reminded each of us why we are so proud of our country — its daring, its commitment […]
Ingrid may bring more crossovers to Street Fighter 6 based on history, she's the most powerful fighter in the story
Street Fighter 6 received its first DLC guest characters in franchise history, adding in Fatal Fury's Terry Bogard and Mai Shiranui, which included quite a bit of backstory and artwork as part of the game's World Tour modes ...
If education, business and labor come together, Maine can take advantage of AI
Maine has faced large-scale worker dislocations before. In the absence of effective federal regulation, we must invest and collaborate as we face the biggest yet.
'Heated Rivalry' showrunner calls season 2 'much more serious territory,' teases Troy's arrival
'Heated Rivalry' season 2 will get into 'much more serious territory,' showrunner Jacob Tierney teased during a BookCon 2026 panel this weekend. He also confirmed that new character Troy Barrett will be 'quite damaged': 'We're digging into that even harder.'
Chico releases new ordered post-patch tier list for Street Fighter 6
Alex and the mid-season balance patch for Street Fighter 6 were released not too long ago. Though every character received adjustments, the meta hasn't seen that much of a dramatic shift thus far.Regardless, Chico was recently inspired to ...
‘CIA’ Stars Talk Benefiting From Their Partnership & Colin’s Secret Closet
Plus, what's surprising their characters about this partnership.
Slay The Spire 2 Outlines A Big Roadmap But Devs Aren't Rushing
Mega Crit co-founder Casey Yano revealed that work on alternate versions of Acts 2 and 3, as well as a new character, have already begun; just don't expect them any time soon
Lakers’ Luka Doncic Will be Eligible for Awards After All
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“AI polls” are fake polls
A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
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On plant health and embracing new plant-breeding techniques in South Africa
The major challenge currently confronting South Africa’s agriculture is the spread of foot-and-mouth disease. For many farmers across the country, the most urgent tasks are both securing sufficient vaccines and rolling them out quickly in the coming months, particularly as the beef and dairy industries continue to suffer big losses. There is also pressure on sheep, goats, and other livestock to prevent the disease from spreading. As efforts to get the country through this monumental challenge continue, I believe it is important to sharpen our focus on the broader task at hand: strengthening biosecurity. This covers both animal and plant health. In recent years, we haven’t focused much on plant health, except a few times, such as when we had a goss’s wilt scare in the maize industry, a few cases of citrus black spot, or cases of sclerotinia in sunflower seeds. But the fact that South Africa managed to control the outbreaks of these particular diseases when they occurred a few years ago was due to organized agricultural and government scientific capabilities, and, most importantly, the availability of crop protection or agrochemicals necessary to address some of them. Therefore, as the animal health division in the Department of Agriculture focuses on the pressing challenge of the day, the foot-and-mouth disease, there is an opportunity for the plant health division to assess if they have all the requirements to tackle any outbreak that may occur on fruits, vegetables or crops in future. The challenge with crop diseases is that they can spread quickly and cause much more rapid damage in the field than we typically see with livestock. Therefore, speed is everything in ensuring the appropriate controls are available. I raise this as an important area, particularly given the drastic climate variation we observe across the country. The production conditions in some areas have changed noticeably over time, which may introduce new risks. The other essential part is ensuring that South Africa has access to the best crop protection technology available in the market. Many technology developers worldwide have operations in South Africa. Therefore, the Department of Agriculture, along with the Agricultural Research Council, must continuously interact with technology developers to assess the various crop protection technologies they are releasing globally and determine their suitability and need in South Africa. This will require a proactive approach from the government, unlike the current approach, in which technology developers typically approach regulators with new technologies. The government, recognising the food security risks, must take a proactive approach to ensure that South African farmers have access to the latest crop protection technologies, thereby safeguarding the country’s food security. Beyond crop protection, we must never forget that South Africa’s agriculture is key to ensuring that the country is the most food-secure country at the national level in sub-Saharan Africa. South Africa is also the only African country in the top-40 global agricultural exporters, having more than doubled since 1994 on the back of the adoption of high-yielding seed cultivars. South Africa has been the only African country to adopt a bold approach to embracing science and adopting genetically engineered seeds for grains and oilseeds in the early 2000s. Since then, we have seen crop yields improve noticeably, contributing to the gains we mentioned above. But ensuring that South Africa improves further is not a given. The key lies in South African regulators’ attitudes towards new technologies. We have to maintain a progressive approach and not give in to the politics of non-food and non-scientific voices that shout on the sidelines. Food security is national security, and the government must ensure we progress, leaning on science. Therefore, the registration of high-yielding new genomic techniques is required. South Africa cannot afford to fall behind the EU, the USA, South America, and many of its competitors in global agriculture. The Department of Agriculture’s crop science division must adopt a progress-and-science-embracing approach for the good of the country. Thanks for reading AgriView! Subscribe for free to receive new posts and support my work. Subscribe Share
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Album Review: 6WA by BigXthaPlug & 600 Entertainment
BigXthaPlug spent eight months in Nashville making a country-rap album that debuted at No. 7 on the Billboard 200, put “All the Way” with Bailey Zimmerman at No. 4 on the Hot 100, got him a Rolling Stone cover, and filled arenas with Jelly Roll. And then he came back to Dallas, rounded up four of his signees, and made a gangsta-rap record with N.W.A’s Straight Outta Compton on the cover. 6WA is the second group release from 600 Entertainment, named after the 600 block of Meadowridge Street in Ferris, Texas, where BigX and his people grew up. The whole thing is loaded with West Coast samples. From N.W.A.’s “8Ball,” Eazy-E’s “Real Muthaphuckkin G’s” and “Boyz-N-The-Hood,” Ice-T’s “6 in the Mornin’,” Snoop Dogg’s “Nuthin’ but a ‘G’ Thang” and more. BigX is staking his name on the lineup he built—Rosama, MurdaGang PB, Yung Hood, KevanGotBandz, KaineMusic—and claiming a lineage from 1,400 miles away while insisting Dallas is its own thing. A million dollars in cash, split and handed straight to his mother. That’s the first place BigX goes on “From the Bottom.” He’d probably still be in the streets if he didn’t have his son and daughter. He only started rapping to make life better for Carter. Couldn’t start his car back then, now people get starstruck at Starbucks, and he throws the whole field away in one sentence: “How you think we competin’? You on the same bag, I just made me some millions off country.” Goyard bags off a Nashville payday, and he wants you to know exactly how far he’s come from everybody else. “Safe to Say” does something similar but looser. It’s a straight Ice Cube “It Was a Good Day” flip, and BigX nails it. Wakes up, checks both phones, nobody’s locked up, kid accounts look good. Gets pulled over, only catches a warning. Pulls up on the squad to liquor, ladies, and haze. Rosama takes the second verse and matches him. Wakes up to his girl cleaning his cuticles, twins playing peekaboo, pays off his car, calls a cousin, sees the opps and they don’t trip. Lawyer calls, he beat his case. Rosama is the strongest voice in the 600 camp after BigX, and “Life of a Gangster” is why. Third person, riding low, blacked-out windows, snub-nose revolver. A character who chose sticking people up over selling dope. “Quick eraser like a number-two pencil.” He never breaks character, and his delivery drops lower and slower than anything he does on the group cuts, like he’s telling you something at a cookout that he probably shouldn’t. Then on “Long Live Fre$h” he’s a completely different rapper. “Short-bus diamonds, these bitches retarded,” wide-body Durango he can’t even park. That kind of range matters on a group record. MurdaGang PB’s best verse is on the title track. Feds at his door at 6 AM, cameras busted, flushing dope, ram truck putting everybody on the floor. Yung Hood on “The Hottest” just lays out four reasons to keep hustling. Who wants to be broke, women cost money, you need bail, and home has to be straight. It’s funnier and more honest than most rappers get when they’re trying to explain why they sell drugs. KevanGotBandz on “Ain’t Never Slowin’ Down” talks about his father getting caught on the dope while he’s sitting on $300K somewhere in the hills, which is a specific kind of guilt that doesn’t usually make it onto crew tapes. KaineMusic, the newest signee, takes the back half of “Who Dunnit” and introduces herself in third person—“Took flight just to show these hoes how to perform”—but it’s too short to know if she can hold a full song. The flex tracks fill the middle of the LP and mostly run together. “I Go” is Rosama and PB trading brands, guns, and food punchlines. Rosama’s “anemic, my iron tucked low in this shirt” is a slick gun bar, PB fires back with “.223 with a clip ‘bout as big as a toddler” and “I go Burger King, stay with that whopper.” Quick, funny sometimes, but it’s all shopping lists. “Dopeman” is a chant. “6ixer Party” brings Snoop Dogg, who does exactly what you’d expect Snoop Dogg to do. BigX contributes the night’s wildest overshare: “She say she brought a friend too, well, I’m tryna put sausage on her dental.” These songs move fast and don’t overstay, but three or four of them could trade verses and nobody would catch it. Midway through, The D.O.C. shows up for a spoken-word interlude. Tracy Curry. West Dallas native, former N.W.A affiliate, co-writer on a lot of the records getting sampled on this very album. He thanks BigX for the tribute and then gets direct: “This your time, this DFW time. You need to do it like we do it down here.” Leave bread crumbs so everybody behind you can eat. Keep God in your life. It’s fatherly and generous, and it does raise the question of whether 6WA follows that advice. The album borrows heavy. The cover art, the Eazy-E samples, “Amerikkka’s Most Wanted” opening with a direct “Boyz-N-The-Hood” lift, Yung Hood rapping “Flag on my left side, Crip until I die.” But the stuff that actually stays with you is Dallas. BigX talking about Pleasant Grove, Rosama calling himself a country boy, PB recounting a raid that could’ve been last Tuesday. The record smells most like itself when it smells like Ferris, Texas, and least like Compton. BigX on “The Hottest” says his father was the first person he knew who had chickens. Not the way rappers usually wave at the drug trade. He means his actual father, his actual family. On “600 Degrees,” Rosama compares his chopper’s stutter to a speech disorder, PB claims he still has the block on his back even after leaving the city. BigX closes that one saying he used to spin and smack, and now the plaques are platinum. Thirty-two minutes was right for this. Nobody overstays, Tony Coles and Rance and Charley Cooks keep the production punchy, and BigX gives his signees real room instead of crowding every song. 6WA doesn’t reinvent anything. Five rappers, good beats, short clock. Most of what they say you’ve heard before. Some of it—the million to his mother, the cuticles and peekaboo, the four reasons to hustle—you won’t forget. Solid (★★★½☆) Favorite Track(s): “Safe to Say,” “From the Bottom,” “The Hottest” Subscribe
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Gemma 4 and what makes an open model succeed
Having written a lot of model release blog posts, there’s something much harder about reviewing open models when they drop relative to closed models, especially in 2026. In recent years, there were so few open models, so when Llama 3 was released most people were still doing research on Llama 2 and super happy to get an update. When Qwen 3 was released, the Llama 4 fiasco had just gone down, and a whole research community was emerging to study RL on Qwen 2.5 — it was a no brainer to upgrade. Today, when an open model releases, it’s competing with Qwen 3.5, Kimi K2.5, GLM 5, MiniMax M2.5, GPT-OSS, Arcee Large, Nemotron 3, Olmo 3, and others. The space is populated, but still feels full of hidden opportunity. The potential of open models feels like a dark matter, a potential we know is huge, but few clear recipes and examples for how to unlock it are out there. Agentic AI, OpenClaw, and everything brewing in that space is going to spur mass experimentation in open models to complement the likes of Claude and Codex, not replace them. Especially with open models, the benchmarks at release are an extremely incomplete story. In some ways this is exciting, as new open models have a much higher variance and ability to surprise, but it also points at some structural reasons that make building businesses and great AI experiences around open models harder than the closed alternatives. When a new Claude Opus or GPT drops, spending a few hours with them in my agentic workflows is genuinely a good vibe test. For open models, putting them through this test is a category error. Something else to be said about open models in the era of agents is that they get out of the debate of integration, harnesses, and tools and let us see close to the ground on what exactly is the ability of just a model. Of course, we can’t test some things like search abilities without some tool, but being able to measure exactly the pace of progress of the model alone is a welcome simplification to a systematically opaque AI space. Share The list of factors I’d use to assess a new open-weight model I’m considering investing in includes: Model performance (and size) — how this model performs on benchmarks I care about and how it compares to other models of a similar size. Country of origin — some businesses care deeply about provenance, and if a model was built in China or not. Model license — if a model needs legal approval for use, uptake will be slower at mid-sized and large companies. Tooling at release — many models release with half-broken, or at least substantially slower, implementations in popular software like vLLM, Transformers, SGLANG, etc due to pushing the envelope of architectures or tools. Model fine-tunability — how easy or hard it is to modify the given model to your use-case when you actually try and use it. The core problem is that some of these are immediately available at release, e.g. general performance, license, origin, etc. but others such as tooling take day(s) to week(s) to stabilize, and others are open research questions — with no group systematically monitoring fine-tunability. In the early era of open models, the days of Llama 2 or 3 and Qwen pre v3.5, the architectures were fairly simple and the models tended to work out of the box. Some of this was due to the extremely hard work of the Llama, Qwen, Mistral, etc. developer teams. Some is due to the new models being genuinely harder to work with. When it comes to something like Qwen 3.5 or Nemotron 3, with hybrid models (either gated delta net or mamba layers), the tooling is very rough at release. Things you would expect to “just work” often don’t. I’ve been following this area closely since we released Olmo Hybrid with a similar architecture, and Qwen 3.5 is just starting to work well in the various open-source tools that need to all play nice together for RL research. That’s 1.5 months after the release date! This is just to start really investing more into understanding the behavior of the models. Of course, others started working on these models sooner by investing more engineering resources or relying on partially closed software. The fully open and distributed ecosystem takes a long time to get going on some new models. All of this is lead-in for the most important question for open models — how easy is it to adapt to specific use-cases? This is a different problem for different model sizes. Large MoE open-weight models may be used by entities like Cursor who need complex capabilities in their domain, e.g. Composer 2 trained on Kimi K2.5. Other applications can be built on much smaller models, such as Chroma’s Context-1 model for agentic search, built on GPT-OSS 20B. The question of “which models are fine-tunable” is largely background knowledge known by engineers across the industry. There should be a thriving research area here to support the open ecosystem model. The first step is to understand characteristics of different base and post-trained models to understand what they look like. The second step is to tune pretraining recipes for open models so they’re more flexible. Interconnects AI is a reader-supported publication. Consider becoming a subscriber. Subscribe For The ATOM Project and other Interconnects endeavors, we’ve put in substantial effort to measuring adoption trends in the open ecosystem. Everything takes a long time to unfold after a model is first publicly available — and adaptability is why. What we know for sure now, when Qwen has been going from strength to strength with its releases, is that technical staff across the industry has gotten comfortable working with Qwen models. Countless research methods and datasets were made to work with Qwen. It’ll take patience for any other model family to get to this point — a patience I’m not sure many open model builders have. This takes us to Gemma 4, Google’s latest open models. Gemma 3 was released more than a year ago, in March of 2025, and is a bit underrated. Gemma 4 comes in 4 sizes for now, with a bigger, MoE model of over 100B total parameters rumored but not released yet. The models we have today come in sizes of ~5B dense, 8B dense, 26B total 4B active MoE, and 31B dense. I’m most excited that they’re finally adopting a standard Apache 2.0 open source license. This’ll massively boost adoption. The standard of better licenses for strong open-weight LLMs was set by mostly Chinese open model labs in the last 1-2 years, and now U.S. companies are following suit. I will personally be so happy if the horrible Llama licenses and Gemma terms of service were an ~18-month transient dynamic of the industry being nervous about releasing strong open models. The Gemma 4 scores look very solid, the small models have incredible benchmark scores (especially in general domains like LMArena) and the 31B model rivals the recent Qwen 3.5 27B, which is the leading member of that class. The ~30B size range is an important one, as it’s accessible both to researchers and to enterprises looking to deploy the model in real use-cases. Where the 7B model scale is the default for tinkering and research, a 30B model is the default for seeing if an open model can unlock substantial value in your specific workflow — a good mix of intelligence, low price, tractability for downstream training, etc. This takes us back to the above adoption criteria I mentioned for open models and the bigger question — do I think Gemma 4 will be an overwhelming success? Previous Gemma models have been plagued by tooling issues and poorer performance when being finetuned. Gemma 4’s success is going to be entirely determined by ease of use, to a point where a 5-10% swing on benchmarks wouldn’t matter at all. It’s strong enough, small enough, with the right license, and from the U.S., so many companies are going to slot it in. I’m cautiously optimistic that Gemma 4 is going to work better here. Winds are shifting for open models built in America. We saw GPT-OSS go through a bumpy launch to become an overwhelming success. There’s a collective energy around the likes of Reflection, Arcee, Nemotron, Gemma, Olmo, and peers that show substantial demand for building new stacks around open models. There’s capital to be spent on AI stacks across the economy by those who want more ownership of everything, including the model. After launching The ATOM Project 240 days ago, the conversation is shifting into the next stage. Summer of 2025 was a crisis moment where the U.S. AI scene realized it can’t wait and figure out open models after building AGI. The two markets will capture different areas and proceed in parallel. Now that more companies in the U.S. are releasing strong models, we need to improve the ecosystem so that these models are easy to use, understand, and build value around. It’s the hard work to build another inflection point in these adoption plots I’ve been updating consistently, but that’s the work to be done. Join me in it. More data coming soon! Here’s a sneak peek:
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