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New owner-operator brings upgrades, more programming to Skate City
"There's nobody else in the country that does what we do when it comes to roller-skating." Take a look at what already has changed and what's ahead from the new owner-operator of Skate City.
Red Wings Call Up Michal Postava for West Coast Trip
The Griffins' coach says Michal Postava is joining Detroit's road trip, and nobody has said why. #RedWings
'Nobody knows what to do': How Long COVID left Physics Girl searching for answers
San Diego's Dianna Cowern, also known as Physics Girl, was one of the internet's most popular science communicators. Long COVID left her bedbound and facing a medical mystery with life-and-death stakes.
Shingles vax: A cash cow? | Investors Lab
Nobody had to twist my arm to convince me to get the shingles vaccine. A few scary anecdotes about the horrors of contracting herpes zoster (pain, unsightliness and potentially permanent nerve damage, for starters) were good enough reasons for me. Turns out the two little jabs I received a few years back may offer big returns: unexpected multiyear protection for the ticker. Science News’s Meghan Rosen delivers the good news.
College football mega boosters used to fund buildings. Now they buy QBs. What’s the payoff?
“It's absolutely a non-sustainable business model," said SMU booster Bill Armstrong. "But nobody can control themselves."
Sundar Pichai: Google’s Frontier Imperative, Compute Scarcity Dilemmas, Future AI Products and Businesses
Alphabet CEO Sundar Pichai has little patience for doubts about Google’s willingness or capacity to compete at the frontier of AI. His company’s latest Gemini 4 Argon model — long-promised and recently delivered — beats OpenAI and Anthropic’s latest public models on coding, math, science, and knowledge-work benchmarks and has placed Google’s AI back among the world’s best. Amid chatter that Google was fine with good-enough lightweight ‘Flash’ models, Pichai pushed back hard against any suggestion that company is limiting its research ambitions. “We won’t do it any other way,” he told me in a Big Technology Podcast interview recorded this week at Google’s Mountain View headquarters. Pursuing cutting-edge research is costly for Google, requiring compute and chips that otherwise could be sold at a high markup by its cloud business. But Pichai said allocating resources to frontier AI development is “ground zero” for Google. “Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development,” Pichai told me. In our conversation, we discussed Argon (which Pichai says processed three times as many tokens as Gemini 3 in the 72 hours after launch), AI’s role in developing better models, the AI interface of the future, competition with OpenAI, Google’s partnerships with Anthropic and Apple, data centers in space, and the nature of his optimism. You can read the full conversation, lightly edited for length and clarity, below, or listen to it on Apple Podcasts, Spotify, YouTube, or your podcast app of choice. Alex Kantrowitz: Google is back at the frontier with Gemini 4 Argon, which beats OpenAI’s and Anthropic’s public models on benchmarks spanning coding, math, science, and knowledge work. The conventional wisdom was that Google had given up on the frontier to focus on fast, good-enough models for its products. That was wrong? Sundar Pichai: Very wrong. Look, we are so committed to being at the frontier. It’s in our DNA. We won’t do it any other way. We’ve been thinking about the AI frontier for well over a decade now. The frontier is very dynamic. It’s very competitive. It’s very exciting. I couldn’t be more pleased with how Argon has come together. We took our time with it. We made sure we tested it safely and deployed it carefully. We took a bit longer than our other models, given its capabilities. Across the board, be it for agentic work, knowledge work, coding, creative tasks, Argon is one of the really good frontier models. The first 72 hours since we launched, it’s almost up to 25 trillion tokens used, which is about three times what Gemini 3.0 had in the first 72 hours. And we are capacity constrained as we are serving it. Excited, but there are always areas….. You know, the frontier is very dynamic, and you have to keep evolving the models. There are areas which we can see we need to improve as well. We’ll be at work on all of that as well. Which areas? On any given model, Argon would be across the board better at everything if you just look even two months back. But the space is so evolving. Even on coding, for example, there are pockets where we know we need to do better, and there’s clear feedback. We’ll make it better. The argument for standard models is that they’re already good enough to build great products, with the frontier valuable only for certain tasks. Meta built Muse with good models rather than the best, and Google could put standard models into Maps, Gmail, and Search. Why isn’t that sufficient? It’s definitely not how I have thought about it at all. We are deeply committed to driving the state of the art and actually pushing where this technology can go, all the way from transformers. That’s a journey we’ve been on. You will see us continue to do that. When you’re at the frontier, you get an earlier look into the emerging capabilities, earlier than others, which helps you better prepare for the future. We are fortunate to have a wide set of opportunities across consumer and enterprise. Some of our cloud customers, for sure, want the model at the frontier. The frontier models will be better at developing the next set of models in an era of recursive self-improvement. I would argue it matters there. Internally, we have definitely seen a steep point of inflection by deploying Argon to our developers. It definitely tackles problems which our previous models could not do. Being at the frontier puts you at the innovation frontier and helps you drive that as well. There is room for models of all sizes and capabilities. That’s why we did Flash, Flash-Lite, etc. I agree with you that you can develop very good product experiences with not necessarily the most frontier model, because they tend to be slower and more expensive too. But we care about the Pareto frontier, and we’re committed to doing all of that. You said developing frontier models gives you a look at what’s coming. What do you see on the horizon? What makes this moment so exciting is you build something which you think is a culmination of months of work, and you put it out. You already see clear headroom ahead. We’ve all been working on these agentic, long-horizon capabilities, but clearly the frontier is going to have multiple of these agents working together to do things. That’s an example of an exciting paradigm underway. It’s also clear to me that users, both in consumer and enterprise, will have access to some multi-agent framework for them, working all the time doing things. It feels like a moment of infinite possibilities. Sergey Brin said one of Argon’s core innovations was relying more on the model to help develop the model. Yet incidents involving OpenAI’s bots breaking containment and Google’s bots accessing a site they shouldn’t have suggest these systems still aren’t perfectly aligned. Isn’t there reasonable cause for concern about accelerating toward recursive self-improvement? There are three parts to your question. Let’s first talk about RSI itself. You’re right, Sergey mentioned RSI being a critical contributor as we are developing Argon. But to be very clear, today, in a continuum, we are pretty far from the end state of RSI or something like that. The right way to describe it is you have RSI loops along with AI researchers in various aspects of model development. You almost have agents helping AI researchers in some automated way work together to build these models. It’s good to at least understand where we are today, and it’s super exciting. I expect that continuum to keep making progress as we go into next year. The second question is around safety. Security comes from defense in depth. You’re talking about alignment, obviously. We all are doing a lot of work to make sure the models are as aligned as possible. But it’s an active area of research, and there are clear gaps. That’s not the only thing we rely on. You have the work you do on alignment, but beyond that, we put a lot of effort into real-time monitoring as these models are working. Making sure you have good telemetry into what’s happening so that you can intervene in real time if you see unexpected behaviors. How you do that, the architecture with which you do that, how you make sure it’s all sandboxed and isolated in a way that it can continue doing its job during real-time monitoring — these are all areas of investment. Obviously, when we deploy these models, giving customers, enterprises, control, both with real-time monitoring, but their ability to decide where they deploy, what type of data which models ever have access to, etc. All that work is very, very important, and we are doing a lot of that. As an industry, we need to constantly up our game and take the time to do all this stuff, including dedicating the compute required to make sure you can safely deploy these models. The third part is: Is it all enough? This is why there are a lot of conversations in the industry, and I think it’s reasonable to be worried. The right way to approach something you worry about is early on thinking about what more we can do. As an industry, you’re definitely seeing increased levels of work on alignment, testing for safety, etc., as we deploy these models. The next step would be developing better standards so there are cross-industry standards of how we do these things, including the ability to evaluate using independent evaluators. If you look at areas like financial controls, we have accounting standards, we have independent auditors. Those are all the next natural steps for us as an industry to work toward, and regulation will end up playing a role as we go through all of that as well. Google pursues both language models and world models, while some other AI companies like OpenAI have focused more heavily on LLMs as the path to AGI. Why is world-model research important to you? As humans, you obviously perceive the world around you, and you’re taking all those inputs. Making sure these models are able to understand the laws of physics, simulate the world in high fidelity. All that, I think, are key enabling blocks for intelligence. We are working across all possible applications of this. Take an area like robotics. It’s not an accident: If you look at embodied reasoning benchmarks, Argon is state of the art. That all comes from our experience building world models. Inherently, I would expect there will be architectures which will converge all of this in the future. But for us, we view this as, today, this jagged frontier that is intelligence. We want to be at the frontier of all the possible approaches, and that will help us both drive better research, better insights, and develop a much better AGI model, is how we think about it. Some people argue Google should focus on selling its computing resources rather than using them for AI research. Cloud wants to sell compute at a high markup, while researchers need a very big computer to build the best models. How do you balance those demands? Ground zero for us is making sure we are investing in the compute that’s needed to be at the AI frontier. In 2015, I set the company to be AI-first. AI is that key horizontal ingredient across everything we do, all the way from Search to Cloud to Waymo. That is ground zero for us, making sure both for research and developing the models that we have enough compute needed. Beyond that, we have these independent businesses which each have their own long-range plans. They’re using those long-range plans to project forward, and we plan for compute for all of them. The cloud team, they have a business and they have a projection and they have demand signals. They have committed contracts. With that help, we can plan on a long-term compute trajectory for them. We’re fortunate to have this wide set of opportunities. There’s no company in the world which isn’t making trade-offs at any given moment in time. But the first principles we operate on is making sure we have enough compute to invest in the frontier, and that’s non-negotiable, and everything else works on top. Remember, we are building our own compute, our own data centers. There are long lead times. The compute we have today is a function of decisions I made in 2024. Even if you think back to a year from today, last year the agentic coding takeoff hadn’t happened. Today, obviously, when you sit and look at anything, everyone is short—not just us, other companies—and everyone wishes you had two times what you had planned for. That comes with the territory. At any given moment in time, we are planning for what we would need two to three years out in the future. You’re going to find some decisions you make may look suboptimal two years out, depending on where the state of the art is. I don’t spend too much time thinking about it. The way I think about compute allocation is making sure Google DeepMind, both for research and frontier model development, is cutting edge in terms of compute access. After that, we plan for all our businesses. It’s great we can provide our compute to other people too, like we have done. It allows us to scale that up, get real tests for it in the widest application set possible, test it in the real world, and make sure we are at the cutting edge of technology at every layer of our AI stack as well. Ben Horowitz relayed on a podcast that Andy Jassy had said compute was sold out until 2028. Are you seeing the same thing? If today a customer is coming out and asking us for compute in ’27, that is incredibly difficult to do. Even last year we went out and leased some short-term compute to accommodate some customers and help them out. But yes, we are all dealing with similar timelines. Every major technology shift seems to involve overbuilding, from railroads to fiber. Do you think that’s happening here? It depends on the time frames you’re looking at. This level of build, if I take a long enough time frame, it makes complete sense to me. We are at early stages of the most consequential technology ever, and this is not like fiber. It’s not dark. We are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly. But running a company, the way I work through the moment is you look at your demand signals. You look at your committed revenue opportunities that you’re getting in the form of contracts. You balance that with the underlying technical capability, or internally you balance how we are using it internally, the model trajectories. Based on all that, you take a disciplined approach—a confident, aggressive, but disciplined approach—to plan out compute. But when you talk about the broader economy as a whole, you’re having people operate with various levels of risk. I focus on what I can control as a company and plan through it. If your question is, can there be an overbuild? Yes, because you can have some constrained components. Remember, what matters is a set of everything you need to build out that compute. Memory, electricity, electricians…. Land. Like 2,000 components or more. You could get constrained at some point. There could be things which cause bottlenecks, and then you could have overbuilds. There could be external shocks to the economy. There are macro risks. All that is possible at any given time. But am I confident that the compute we are planning for, we will have uses for it given enough time? Absolutely, yes. I was in the room when you said AI would be as profound as fire and electricity. If you believe that, shouldn’t you give researchers the biggest possible computer, even at the expense of today’s cloud profits? We’re all doing some form of that. Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development. What you’re seeing is true already. But you want to be thoughtful. Even our AI researchers have some constraints, which are also good. That’s what inspires creativity. That’s what helps you come up with a more efficient algorithmic breakthrough, maybe to use less memory. What we are committed to is to invest what’s needed to stay at the frontier. OpenAI President Greg Brockman told me a few months ago that the ideal AI product might have no interface at all—just as natural as conversation. What do you think the interface looks like in the age of AI? Computing historically has been humans adapting to computing. With AI, it’ll be the other way around. The technology will adapt seamlessly to how humans live and go about their day-to-day life. You want to be able to speak to that AI when you want to. It has context. It can be persistently running somewhere, give you continuity. You’re not dealing with a lot of complexity. It’s natural. All that makes sense to me. That doesn’t mean it won’t have any interface, however. Nowadays, even on my phone, Gemini voice models are so good. I can just press the microphone button. I can just ramble. That’s why we call it Rambler. I can ramble. It intelligently corrects with my personal context. Even my friends’ names, weird names, it gets it right, even if it first guesses it wrong. It’s amazing. I’m not going in, backspacing, editing once I finish saying it. It’s remarkable how good it’s gotten. But there are going to be moments you will need an interface. You may want to entertain yourself. You may want to watch a video. You may ask your AI to create something, and you want to watch it, consume it. The way I think about it is, you want it to be as seamless and as natural as possible, and that you are not doing the hard work adapting to whatever the interface is. The technology is adapting to how you’re working at any given moment in time. When I asked Sam Altman about competition from Google, he argued that OpenAI was building AI-native products and implied Google was bolting AI onto existing ones. Do you accept that framing, and can a “bolt-on” compete with an AI-native product? First of all, it’s a very dynamic moment. We are all pushing each other. OpenAI has pushed us as a company too. This is not just we are doing something to them. Far from it. Yes, Google went into its own version of a code red too. In the AI moment, all of us have to respond with varying levels of urgency at any given moment in time. We are constantly building new products as well. Gemini was built from the ground up as a product—the Gemini app I’m talking about. Or tomorrow, as all of us are adapting to agents, are you bolting agents onto ChatGPT, or are they building it natively? How would you think about that? You can always put these questions back. I don’t think of it that way. I think of it as you want to build world-class product experiences that are AI-native and they are winning. Some of it is adapting products, some of it is rethinking new experiences. They will all be part of how you approach this moment. How do you expect to make money from these AI interfaces? If an agent recommends a product and I buy it, should it take a cut of the sale, even if that’s disclosed? I’m going to put enterprise aside. Consumers are going to increasingly value this technology. Take software developers today. Developers are willing to pay for these coding models because it really helps make them more productive. Nobody would want to code the way they were coding three years ago, or even the same time last year. When you’re delivering value, there’s value to be had. I’ve never seen examples where consumer products really scale to billions of users, where people are using it intensely, and haven’t had monetization to go along with it. If you’re providing value to people, there is inherent value to be had. The nature of it may change. You’re asking a scenario in which agents are doing stuff for you. At the end of the day, you will have commercial needs. The agents need to fulfill those commercial needs. The providers on the other side are going to see value in that. There’s going to be some mechanism by which it gets fleshed out. That’s what an efficient system does. But what matters is that you’re building those world-class consumer experiences. I promised myself one product feature request: Can you make Gemini-powered search in Gmail as good as searching Gmail through ChatGPT? What’s going on here? One of the exciting things we announced recently is the unified Gemini agent for enterprise, and we’re bringing that to consumers. These are persistent agents which run 24/7 in the cloud. We’re spinning up a micro VM effectively for every query, and from the runtime, the harness, the model—it’s all a headless service. It’ll work everywhere, and it has your context with you. You can address this agent whether you’re in Workspace, in Search, in Gemini. Agents are going to drive this unification from a customer experience, which people are looking for. When you have a broad product portfolio and you’re moving forward fast, there are always areas where you’re moving forward faster than some other areas. That’s valid feedback. But we are putting a lot of time and effort into making sure, as we build out our agentic experience, that unification and that capability works well across all these services. People have asked where Google’s equivalent of Muse or Dots is. Do you anticipate creating a new product to compete with them? Our goal with Gemini is to be a personal, proactive, and powerful assistant. That’s what we are working toward. You saw us describe the early versions of it at Google I/O this year with Spark. Effectively, already, if you open the Gemini app as a Pro or an Ultra user, you see Chat and Task, and they start giving you that agentic experience. With Argon now, that capability is dramatically accelerated. What we announced recently in our enterprise event, we are bringing that to consumers as well. Soon in Gemini, you will be able to ask something, and it’s a continuum. You don’t need to think about whether you’re asking a chat or an agentic task. It’ll just automatically do the right thing, and it can work persistently in the background securely and get things done for you. Already, empirically, when I look at what’s coming into Gemini in our app, last year you would have tagged them and most of them would have been chats. But a steadily growing percentage is already agentic tasks in Gemini. Yes, we are going to bring personal agents to our consumers. It’ll work in the Gemini app. It’ll work in Google Search. It’ll work in Gmail. You can address it, call it, etc. We want to make sure we’re getting it right. It’ll be powered by Argon, and we are very excited to bring it to our users. Google has invested and committed tens of billions of dollars to Anthropic. What do you see in Dario Amodei that makes you want such a deep investment and partnership? Very early on, when we looked at the founding team of Anthropic, it was very clear to us this was a world-class team which was involved in some of the earliest GPT models. We were quickly able to assess that they would be at the frontier. We’ve always tried to identify and partner with companies which would be at the cutting edge of technology. We’ve done that with SpaceX. We’ve done that with Anthropic. That’s what we saw, and we had a chance to partner. Is your partnership with Apple to license Gemini for Siri expanding, contracting, or standing still? For both us and Apple, that partnership was about translating the capabilities of AI into better experiences for users. I thought Apple has done a phenomenal job of incorporating—they customize these models and build it into Siri—and it’s been great to see the reception. We are committed to doing more. You’re going to do more with them? There’s nothing specific to comment, but it’s a partnership. It’s working well. What have you learned so far about the feasibility of data centers in space? It’s a very exciting project. Projects like this remind me—I still recall that moment in the desert for the DARPA Grand Challenge, watching the Stanley car compete in it, which ended up being the basis for Waymo. With all these technologies, you’re at a moment in time where it looks a bit like sci-fi, but 10 to 20 years down the line, it’s actually working in a meaningful way. I feel the same in space. We’ve always believed in betting big on these technologies. Quantum has been a great example of it. We’re probably 10 years into the journey. Waymo, we are almost 20 years into the journey. Space, we are two to three years into the journey. It’s clear to me that it’s an approach which will make a lot of sense in the future. Being in sub-synchronous orbits with 24/7 access to the most abundant form of energy we have access to will make a lot of sense for this exponential increase in compute that we are going to need. Having said that, this is a challenging project. The team has disciplined milestones. It was a super exciting milestone to send the TPUs up to space. Sometime, as we are speaking, we are expecting a “hello world” moment from them. I look forward to seeing that happen, and we’ll continue investing here too. You previously said 25% of the code written within Google was written by AI. What’s the number today? That number in our world today is meaningless in the sense that every part of what we now touch is influenced by AI deeply. What we are tracking with Argon, for example, it’s been a point of inflection. People are using Argon to really go tackle complex projects, including projects which affect millions of lines of code. In the four weeks since we have launched Argon, we have seen a 30% increase in CLs, and more importantly, almost a similar increase—a one-third decrease in rollbacks. People are writing code more productively and better code with it. We are tracking it with newer metrics now. How are you dealing with opposition to data centers? If you can’t build in the U.S. the way you want to, where else do you go? We’re very committed to building our data centers very responsibly. When I look at our largest data centers in some of the communities where we have been the longest, I visit them, I talk to people. There are people who come and tell us their kids have gone to college because of our investments in these communities, and we’ve grown in those communities. To me, this is about doing it right. Engaging with the communities early, doing it transparently. We are committed to making sure we are bringing incremental power, and we cover 100% of the cost of our power needs for these projects. It’s understanding the impact on neighborhoods and making sure you’re working thoroughly to address them. Done rightly, you can continue making progress. But we are constantly taking feedback into account. I do worry not everyone operates the same way. People have been surprised by data centers showing up in their backyard. Those are all important. As an industry, we should continue to do better. But part of the reason, in a 20-year time frame, we are thinking about things like data centers in space is making sure we are able to put these data centers where maybe the trade-offs will be different. What unproven area of AI is Google working hardest to crack? Is it continual learning—getting models to keep updating after release—or something else? There are multiple parallel paths. You saw with Argon we have a million output tokens. With our Gemini models early on, we had a one-million context window on the input side. These are all examples of breakthroughs we are constantly working on. How do you think about synthetic data? How do you think about continual learning? How do you think about more efficient architectures? We do dedicate a meaningful percentage of our compute to these research bets too. It always goes hand in hand, including our world models. Those are all bets we are placing. Sometimes, as part of these bets, there are ideas that emerge which just make their way into the mainline models. Maybe we don’t fully talk about it, but we have multiple steps in these areas. Working in technology requires optimism that building something will improve the world, but those bets can leave real consequences when they fail. I recently returned to a town in El Salvador where enthusiasm for Bitcoin had given way to unfinished construction and something resembling a ghost town. How do you maintain the optimism you spoke about in your Stanford commencement address while accounting for those risks? I genuinely have a deep conviction that improving technology and improving access to technology makes people’s lives better. It’s been my personal experience in my life, out of which comes that deep conviction, optimism. But with that, I’ve always felt humanity’s journey is always about working hard to harness that technology to make it work well for society. The optimism is not an optimism that you just build whatever you want, whenever. You work hard to make sure you’re building technology in the service of humanity, to make the human condition better. That’s got to be the defining goal as we are approaching it. With that framework, I’m very, very optimistic. We are in very early stages of the kind of progress that we are going to see on many areas. We’re all talking about areas like healthcare. A lot of the progress is ahead. The ability to make things in a fundamentally cheaper way on many things where things have been getting expensive for a long, long time, discovering new materials, etc., which really bend the curve—it’s tough to step today and understand the impact of all that, but they’re going to be very profound. I’m very optimistic, but we have to be rightfully concerned about all the ways this technology can go wrong. Sundar, I know you don’t do many of these. Thank you. Thanks, Alex. Appreciate it.
Xbox 'Business Strategist' Claims Video Game Industry Is 'Pretending to Not Use AI,' Deletes Twitter Account After Deluge of Replies
An Xbox staff member went viral this week for taking to social media to tell "the truth that nobody wants you to know": that the video game industry is "pretending" to not use AI.
Michigan Draws the Big Ten’s Least Flattering Window at Rutgers
The Big Ten handed Michigan's Halloween trip to 2-4 Rutgers the slot nobody asks for. #GoBlue
Nobody should buy the $299 Apple TV 4K, but it could have been worse
My colleague Zac Hall described HomeView as one of the best ways to spend $299 on an Apple device and...
"We're using AI": Xbox business strategist claims he could be fired "because I told you the truth that nobody wants you to know"
Xbox's Brandon Stirrup says the gaming industry is already using AI, despite widespread negative sentiment among players.
Commentary: Philly voters care about local issues, but some wonder if their vote matters
Less than 30 days ahead of the 2026 midterms and almost nobody I talk to in Philadelphia is excited. Not my neighbors.
Nobody Loves Cars More Than Polyphony Digital, and Its New Gran Turismo 7 Movie Proves It
Just a six minutes and 40 seconds opening movie
Astronomers Have Detected A Mysterious Signal Coming From Empty Space. Nobody Knows What It Is.
This is a head-scratcher.
Astronomers Have Detected A Mysterious Signal Coming From Empty Space. Nobody Knows What It Is.
This is a head-scratcher.
Alabama’s Kalen DeBoer Makes Concerning Admission After Georgia Loss
Alabama football head coach Kalen DeBoer has plenty of reasons to believe in his Crimson Tide, but Saturday’s loss to Georgia has introduced a question that nobody inside the program can confidently answer just yet. How will Alabama respond when things aren’t going its way?For much of the season, DeBoer has been able to evaluate […] The post Alabama’s Kalen DeBoer Makes Concerning Admission After Georgia Loss appeared first on HEAVY.
Editorial: AI’s risks are no reason for panic
“Nobody knows anything,” the screenwriter William Goldman famously said of the movie business. Much the same can be said today for artificial intelligence, a technology that’s moving fast, destination unknown.
8 Best Gifts for Men Who Have Everything in 2026
Buying for the man who already owns the good version of everything is its own kind of design challenge. He has the watch, the pen, the television, the card holder. What he doesn't have is the version nobody else thought to make, the object that solves a problem he didn't know he had or simply
Emma Camp wants Gen Z to grow up
'Nobody is coming to save you.' A conversation with the anti-therapy pro-capitalist writer and influencer riding the short form video wave.
Trump awards top US science, technology medals to Musk, 5 tech executives
‘There is nobody that can compete with us,’ president says at New Golden Age Summit in Washington | Anadolu
Matthew Lillard says Hollywood doesn’t ‘understand’ him: ‘I still fight for jobs now.’
At 56, Matthew Lillard says he’s no longer as competitive as he once was about jobs, but he laments, “Nobody ever equates me with greatness.”
'Nobody Cares' review: Laura Benanti sings for laughs
Tony-winner Laura Benanti brought her solo comedy cabaret 'Nobody Cares" to the Wallis and the show is now headed to South Coast Repertory.
Nobody remembers your EBITDA at your funeral
David Mammano highlights the importance of balancing profit with purpose in business to build companies that employees, customers, and communities value.
Ageless Novak Djokovic Stays Perfect in Beijing
Age is supposed to slow a tennis player down. Nobody has told Novak Djokovic. At 39, the Serb eliminated world No. 2 Alexander Zverev in the China Open quarterfinals and extended a streak in Beijing with no Open Era precedent. Djokovic is now 32-0 at the tournament. No player in the Open Era has won …
North Carolina Man Caught On Camera Vandalizing Political Signs
Damaging political campaign signs at a busy North Carolina intersection might have seemed like something nobody would notice. Fayetteville Police say 35-year-old Jeffrey Allen Ivey had an audience he ...
The Beclowning of Scott Bessent
One iron law of current politics is that nobody who associates themselves with Donald Trump emerges with a shred of credibility. For some, that’s not a big loss — it’s not as if anyone respected Pete Hegseth even before he decided that the key to military success in an age of drones and AI was more testosterone. For others, however, the costs are real. I’m old enough to remember when Marco Rubio was widely considered a reasonable, thoughtful politician. Right now, however, my candidate for the biggest loser is Scott Bessent, the Secretary of the Treasury. Bessent started out with significant reputation to lose: When Trump selected him, this was the headline in the Financial Times: Jason Furman, Barack Obama’s chief economist, described him as a “credible Treasury secretary who has a real understanding of the global economy”. But Bessent has now transformed himself into the Baghdad Bob of bonds. Three weeks ago, after intervening (for reasons that remain somewhat unclear) to support the Japanese yen, Bessent boasted about his ability to move markets and dared investors to bet against his, declaring “I am the house now.” He then tried to push long-term interest rates down, buying 30-year U.S. Treasuries in a move some have compared to paying down part of your mortgage by running up your credit card balance. Here’s how that’s going so far: To get some perspective on how high interest rates have gone, here’s a longer-term perspective: We haven’t seen interest rates this high since the fading days of the dotcom bubble. Why are interest rates hitting new records? The backdrop, as I argued in last Sunday’s primer, is the huge AI-driven investment boom; more on that next week. But the immediate cause of the latest interest rate spike was Trump’s rejection of an Iranian proposal to end the war. This rejection sent crude oil prices, which for a while had fallen considerably, shooting back up: It’s notable, by the way, that oil prices remain high even though a significant amount of oil is now being shuttled through the Strait of Hormuz by night, on smaller vessels. That’s an interesting story, which has a lot to do with the fact that oil from the Hormuz shuttle runs must be transferred to larger vessels before being shipped to markets in Europe and Asia; around 15 percent of the world’s large crude carriers are now parked off the coast of Oman, waiting to be tanked up. This is creating a shipping crunch: But that’s a topic for another day. For now, the point is that with oil still high and refined products, especially diesel, still close to record levels, inflation will remain elevated. And this in turn means that the Federal Reserve will keep short-term interest rates high, an expectation that is feeding into longer-term rates. Hence Bessent’s bond-market humiliation. The truth is that Bessent might not have been able to get interest rates down even in the best of circumstances. But he certainly won’t get anywhere as long as Trump keeps believing that he can somehow convert his Iran debacle into a triumphant victory. And Trump will keep believing that as long as he is surrounded by sycophants who tell him what he wants to hear. Sycophants like, for example, Scott Bessent, who is predicting the imminent collapse of the Iranian economy, possibly within two weeks. Bessent is right to say that the embargo on Iranian oil exports is placing the country under great economic strain. But his implicit prediction that this will quickly produce a deal that Trump can call victory looks no more plausible than his boasts about the bond market. The big question now is, why would anyone with a reputation to lose work for Donald Trump? As the beclowning of Bessent shows, joining the Trump team won’t just damage your reputation; it will utterly destroy it.
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EU science policy wonks debate prospect of stronger ties with Canada
Europe’s research and innovation sector has started asking questions on how European Commission President Ursula von der Leyen’s offer to make Canada “the first associate member of the EU” would actually work in practice, and who will get to shape priorities in a transatlantic relationship that is getting stronger. The Commission says it wants “a new model of association” under which the EU and Canada will aim to develop “a shared space” to face ongoing challenges. “Working in close coordination with our member states and the European Parliament, we will aim to create a new form of partnership that has not existed until now, building the closest imaginable form of association with a partner outside Europe,” a spokesperson told Science|Business.Locked in an escalating trade war with US President Donald Trump, who has repeatedly talked of annexing Canada, Prime Minister Mark Carney has been looking east, but full EU membership was never in play. Taking the floor a day after von der Leyen’s proposal, he agreed to strengthen ties under “an alliance of the future” but reined in enthusiasm on the new label. He also suggested expanding Canada’s involvement in the Erasmus+ student mobility scheme, to which it currently has limited access, and the next iteration of Horizon Europe. Canada joined the present Horizon Europe in 2024, but only contributes to collaborative projects.Neither side has detailed the next practical steps in developing this new relationship. “I think nobody at the moment truly knows how this will work,” said Michael Browne, chief executive and founder of Crowdhelix, a global collaborative network that connects players in research and innovation. “It’s more of a statement of intent for closer collaboration, which requires legislative frameworks and approval processes, which have not started.”Kurt Deketelaere, secretary general of the League of European Research Universities, said von der Leyen’s pitch to Canada is “politically significant, but the legal content still has to be negotiated and constructed.”Mattias Björnmalm, secretary general of the Cesaer university group, agreed that she had only opened “a political door” to Canada, as “associate membership does not come with a predefined set of rights in the EU institutions.”Not only does this status not currently exist as a legal category in the two treaties that set up how the EU functions, but the Commission president cannot unilaterally create a new category of EU membership.According to Deketelaere, Article 217 of the Treaty on the Functioning of the EU, which allows the bloc to make association deals with non-EU countries involving reciprocal rights and duties, is “the most obvious existing legal basis for building a much deeper EU-Canada relationship.”Getting universities involvedNo matter how this new cooperation takes shape, Liviu Matei, who heads the School of Education, Communication and Society at King’s College London, hopes to see universities involved in discussions from an early stage.“Its primary motivations, entirely justifiably, are political and geopolitical,” he said. “In the area of higher education, however, restricting the initiative to political and geopolitical considerations would limit the scope of cooperation and lead to distorted frameworks and counterproductive implementation.”It is all the more important since academic interests on the two sides of the Atlantic are “neither identical nor fully aligned,” Matei added. “This is not insurmountable; it simply requires work to articulate the details of this privileged cooperation, including its governance and funding frameworks, as well as its substantive content in education and research.”Related articlesCanada looks to deepen research and education links with the EUZaharieva hopes for a Horizon Europe deal in 2026Canada might participate in European Research Council schemes, for example, which was not on offer in the present Horizon Europe association agreement. But “there would have to be something in it for the EU,” Browne said. “They don’t want to be funding projects outside of the EU where intellectual property is going to sit outside of the EU. There has to be some kind of transfer of knowledge.”But access to funding will not by itself resolve all the practical difficulties of working together, said Björnmalm. “For researchers and students, these include visas and residence arrangements, recognition of qualifications and study periods, and the conditions for pursuing a research career across borders,” he said. “For universities, there is scope for more predictable access to shared laboratories, computing and research data, and stronger support for joint doctoral training and long-term institutional partnerships.”Linda Doyle, provost and president of Trinity College Dublin, said Europe should strive for the “closest possible expression” of this new political alliance. “If Europe is serious about recovering its voice and its place in the world, it needs to be strongly allied with countries who share its values and its vision for a stable, rules-based, peaceful world.”
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How lip-syncing to AI let Forced Entertainment ‘play the game of theatre’
Today we have a fascinating piece by long-time Forced Entertainment fan Ben Kulvichit, speaking to Tim Etchells about their latest show Cold Sweat, how they are integrating lip-sync and AI voices into their work, the question of ‘authenticity’ on stage, and how lip-sync has even opened the door for them to make “something a little bit like drama”. This piece is a paid partnership with the Southbank Centre, where you can see Cold Sweat next month – we’re very grateful to the Southbank Centre for their ongoing support for Exeunt. Holly Williams ‘It was immediately interesting and uncanny’ **By Ben Kulvichit** “Is the microphone on?” So goes one of the opening lines of Signal to Noise, delivered by a human performer lip-syncing to an AI-generated voice. The voice is American, cheery but sluggish, slowed down into a gelatinous drawl. It repeats ad infinitum in a farce of stuckness; an answer never materialises. I find myself asking the same question as I hop on a Google Meet call with Tim Etchells, the artistic director of Forced Entertainment. We spend five or ten minutes frowning at each other, muting and unmuting, me gesticulating in semaphore into my webcam, checking if I am coming through now, restarting the laptop. To Etchells, I appear exaggeratedly mouthing words, my voice missing. In this gloopy purgatory of broken communication, life imitates art imitates life imitates art. We try a Zoom instead. Forced Entertainment, the pioneering British theatre company who have been at the avant-garde of performance since the 1980s, turned an interesting artistic corner with Signal to Noise, created on the occasion of their 40th anniversary. The whole performance employed this lip-sync technique to AI voices; on the face of it a left-field move from a company whose identity has long been grounded in the earthy, immediate presences of its performers and its unassuming, low-tech approach to theatricality. The technique, however, turned out to provide the company with a “rich new seam” of artistic enquiry, and has now spawned a trilogy of works. The second instalment, Cold Sweat, plays at Sheffield Theatres, Southbank Centre, and Lancaster Arts in October, while the third part, Everything Must Go, has been touring in Europe and is slated to come to the UK in 2027. As is often the case with Forced Entertainment shows, the main conceit for this work didn’t arrive until quite late. They were “four or five weeks into rehearsals for Signal to Noise,” Etchells recalls, and getting nowhere. Away from rehearsals, he had been playing around with feeding “weird texts” to AI voices to see how they would cope with them – “basically for my own amusement” – and was compelled by the uniformly “serviceable, benign, good-natured” tone they would read in, no matter how poetic, fractured or experimental the writing. On a hunch, he brought some examples into rehearsals and the performers gave lip-syncing a go. “It was immediately interesting and uncanny,” he recalls, with the performers having to deal in the moment with the problem of mapping themselves onto another artificial ‘performer,’ which itself was dealing with the problem of a very human text. “Almost all the writing for these projects would be useless to us unless it was done in this way,” says Etchells. “We wouldn’t know what to do with it. It’s too poetic. It’s too fictional. It’s too tangled.” But exploring lip-syncing along to the text has opened “an enormous reservoir of ways of thinking about writing and performing.” Subscribe to Exeunt, and get two in-depth pieces on theatre a week, direct to your inbox Subscribe Forced Entertainment have long been sifting through the detritus of popular culture, from daytime TV to end-of-the-pier vaudeville, magic acts and clown shows, to find frameworks for their own unusual entertainments. Lip-syncing, then, makes sense for them to experiment with. As a mode of performance, it’s wired into popular consciousness through pop stars trying to convince stadium audiences of their liveness, or those same voices as channeled through the made-up lips of contestants on RuPaul’s Drag Race, or movie dialogue spreading virally through the host bodies of TikTok users. For Etchells, lip-syncing is often about “approaching real voices and trying to take on their aura,” subsuming that original human presence into yours. “There’s a very basic, elemental sort of theatre magic to it, produced in this very easy way.” This broad approach resonates with instances of lip-syncing within contemporary performance, too. In works like Re-Member Me and Showmanism, performance artist Dickie Beau acts as a kind of spirit medium for archival recordings (this process of re-membering – as in, giving corporeal form to voices – relies on his masterfully precise actor’s technique), while Frankie Thompson is similarly possessed by a host of characters ranging from a nine-year-old Jacob Rees-Mogg to Cliff Richards, all of whom she finds compellingly nauseating, in the exorcism ritual that is her latest show, Horrible Things. What’s different about Forced Entertainment’s use of lip-syncing is that here, there is no original presence to be channeled. The performers are instead taking on what Etchells describes as “the voices of nobody,” or rather the “phantasmic, aggregated echoes” of the many many voices on whose data the AI has been trained, and which are now conjuring into existence words they never actually said. There is a sort of mournful, empty quality to these voices, having “washed up” far away from the people they originally belonged to, to find themselves in stranger’s mouths listing objects, wondering if anyone can hear them and glitching in interminable loops. There is a cold, sad anonymity to it all. Etchells remarks that occasionally the software company he used has notified him that particular people are withdrawing their voices from the platform, instructing him to cease use of those voices. Using these technologies in performance certainly brings up ethical questions around digital rights, consent, identity and ownership, although in the grand scheme of things, Etchells is fairly blasé about it: of all the purposes someone’s voice might be put to without their knowledge, “an avant-garde performance is probably the least of their worries.” [ ](https://exeuntmagazine.substack.com/p/frankie-thompson-horrible-things-essay-mental-health-compulsive-behaviours-pleasance-courtyard-soho-theatre) [ Frankie Thompson: How I manage my own ‘horrible things’ at the Edinburgh Fringe ](https://exeuntmagazine.substack.com/p/frankie-thompson-horrible-things-essay-mental-health-compulsive-behaviours-pleasance-courtyard-soho-theatre) Exeunt · Aug 25 [ Read full story ](https://exeuntmagazine.substack.com/p/frankie-thompson-horrible-things-essay-mental-health-compulsive-behaviours-pleasance-courtyard-soho-theatre) For the performers, though, lip-syncing to these strange, artificial voices is an odd task, requiring them to bend their live, human presence into the shapes produced by machines. Politically, it mirrors processes that are already at play in the continued computational automation of human life. Etchells brings up James Bridle’s writings on new technologies as a reference point: one example Bridle gives is of “chaotic storage”, a logistics technique employed by Amazon fulfilment centres whereby items are stored not according to traditional methods of categorisation or alphabetisation, but in a way that an algorithm determines to produce the most efficient routes for ‘picking’ based on customer purchase patterns. This appears completely random and incomprehensible to humans, with paddling pools sitting next to USB sticks sitting next to blowtorches, and so for the warehouse workers, the process of picking items becomes completely reliant on technology which tells them where to go. Our world is increasingly being designed not with humans in mind, but rather machines. As Etchells puts it, “technology malforms the space, and then you end up having to live in it.” Initially, Forced Entertainment tried their best to live in the world of machines: “I was in the it’s-got-to-be-perfect school of lip-sync,” says Etchells. But with their aesthetic being so tied to the failing act, the slipping mask, the shoddy costume, “it’s no surprise really that that didn’t last.” Instead, the performers got to enjoy being late for a line, or playing games with each other, “stealing” each other’s voices. Etchells compares it to the principles of ventriloquism, in which a free-floating voice unattached to a body is fundamentally discomforting and “sort of traumatic”. That discomfort is equally as alluring to Forced Entertainment as the satisfaction of precision, the pretence of authenticity only interesting if shown to be a pretence. Lip-sync has also opened up new avenues for the company. Having been allergic all their lives to Plays-with-a-capital-P, with Cold Sweat Forced Entertainment find themselves approaching something a little bit like drama. Rather than the presentational arena of Signal to Noise’s open white stage, Cold Sweat places us more decisively in a “fictional locale”: what appears to be “the aftermath of some disastrous party or backyard drinking binge” where three figures – family members, or neighbours, perhaps – are the last ones standing. “It’s all quite acrimonious and accusatory, everyone’s talking over each other.” For Etchells, this more fictional mode is “a door that we’ve never been able to open. We’ve just never really gone there.” Perhaps it is the technique of lip-syncing, an extra buffer of mediation, that allows them to venture away from the here-and-now without feeling that they have to commit to the “psychological claptrap” that comes along with acting; to be able to “play the game of theatre, without getting one’s hands too dirty.” As I wonder how else the impulses behind Forced Entertainment’s work have changed over time, it occurs to me that over the last ten years of new creations, with the exception of If All Else Fails, the company’s performers haven’t ever spoken on stage: there were two shows without any language at all, Out of Order and Under Bright Light, and then this trilogy of lip-sync works. Etchells agrees it’s a shift away from earlier productions, that were so often about “the actual voices of the performers and their actual presences. We had a lot of money, in some ways, on an authentic approach to what it might mean to speak on the stage.” But this sense of authentic presence itself had a fakeness to it; these days, Etchells can’t stand that mode of being onstage where performers “are here to be cheeky and witty versions of themselves. I don’t want to be charmed.” Pulling back into a more anonymous space has resulted in works that feel slightly sharper-edged, more brutal in a way. “All of these shows are post-Brexit, post-Trump, post-truth, post-everything,” Etchells notes. Speech, charisma, authenticity – these things feel politically loaded, and perhaps warmth and openness just don’t feel like the right tools to reflect the world we’re living in. “It feels like the space is closing down, and we’re trying to deal with the fact that the system, the structure that you’re in, is more oppressive and more powerful. It probably always was, but I think we’re just more tuned to it now.” Yet even without their voices, the performers’ distinctive presences – ones that many audiences have followed around for years, if not decades – still, inevitably, shine through as they physically navigate whatever unending task the system of the piece has set for them. They’re still trying to keep up with the onslaught of text, still running about, changing costumes, moving stuff around. The human is always stuck in the teeth of the machine, jamming the smooth, frictionless cheeriness of the not-real, gesticulating silently, trying desperately to communicate. Cold Sweat is at Sheffield Theatres, 2 to 3 October; Southbank Centre, London, 9 to 10 October; Lancaster Arts, 14 October [ ](https://exeuntmagazine.substack.com/p/exeunt-recommends-the-best-autumn-theatre-2026-lives-of-others-standard-of-living-our-friends-in-the-north-lanny-) [ Exeunt recommends... the best autumn theatre ](https://exeuntmagazine.substack.com/p/exeunt-recommends-the-best-autumn-theatre-2026-lives-of-others-standard-of-living-our-friends-in-the-north-lanny-) Exeunt · Sep 16 [ Read full story ](https://exeuntmagazine.substack.com/p/exeunt-recommends-the-best-autumn-theatre-2026-lives-of-others-standard-of-living-our-friends-in-the-north-lanny-) This piece was paid for by the Southbank Centre. Such support helps Exeunt to keep publishing the most interesting writing, about the most exciting theatre. Interested in partnering with Exeunt? Visit our Advertise with Exeunt page, where you can get more information, download an advertising pack, and find our contact details.
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It’s Thursday, September 17. This is The Front Page, your daily window into the world of The Free Press—and our take on the world at large. Today: Douglas Murray asks, why do we allow terrorists to die of old age? The American nonprofits backing Hamas. A conversation with Dara Horn and Coleman Hughes. And much more. But first: inside the unlikely coalition warning that AI may kill us all. Last week, an AI researcher named Jacob Coxon made headlines around the world after saying that he had resigned from Anthropic because he believes AI might cause human extinction—and his co-workers do, too. Unlike the rest of us, potentially, the story just won’t die. The Pro-Human Assembly, a conference held Tuesday in Washington, D.C., about the existential dangers of artificial intelligence, couldn’t have come at a better time—or with a more eclectic coalition. The Archbishop of San Francisco was there. So was Steve Bannon, screaming about the Chinese. Bernie Sanders did a quasi-dramatic reading of messages posted to an online forum by rogue AI agents. Ashley Judd paraphrased a graphic Andrea Dworkin quote for reasons that remain a mystery to me still. It was odd. People in the AI industry have talked openly about the possibility of this technology causing human extinction for years, but it hits differently in the wake of the Hugging Face incident. If you don’t know what that is, all the more reason to read my dispatch today. As the doomers see it, the best-case scenario is a future in which humans are basically kept as pets: well cared for, but with zero autonomy. The worst-case scenario, obviously, is the everyone dies thing. What should be done? I heard lots of ideas but no easy answers. There are currently zero federal regulations on AI, which is sort of strange even to think about. After all, we regulate microwaves, and the people running the microwave industry have never once refused to rule out the possibility that their products will end all human life on Earth. What I saw in D.C. left me even more convinced that you would be hard-pressed to find anyone who believes nothing should be done. You know, except for President Trump. — River Page River Page • Tech and Business [ The AI Doomers Have a Plan to Save Us. I Went to Find Out What It Is. ](https://www.thefp.com/p/the-ai-doomers-have-plan-save-bernie-sanders-bannon) Read story How Robert Kraft Made Macklemore a Martyr—and How to Better Fight Antisemitism On Monday, New England Patriots owner Robert Kraft and a group of other NFL owners banned Macklemore from performing at their stadiums after the rapper delivered a “Free Palestine” speech while opening for Ed Sheeran. Kraft cited the rapper’s “broader history of antisemitic rhetoric and imagery.” Once multiple venues refused to host shows with Macklemore on the lineup, the tour’s promoter officially dropped him. Today, Josh Kaplan says that the move was counterproductive, arguing that though well-intentioned, Kraft’s decision turned an irrelevant footnote into a martyr. “You cannot cancel people into liking you,” Josh writes. Read his column on what a better response to Macklemore would have looked like. Read [ Robert Kraft Made Macklemore a Martyr ](https://www.thefp.com/p/robert-kraft-made-macklemore-martyr-antisemitism-palestine) This raises the question: What actually works against antisemitism? On the latest episode of Conversations with Coleman, recorded in front of a live audience in New York, Dara Horn joins Coleman Hughes to talk about her new book The Final Solution to the Jewish Question. She argues that antisemitism is a script that has repeated itself across countries and ideologies, and that most people don’t understand that well enough to fight it. Don’t miss their conversation. Watch [ The Lie at the Center of Antisemitism, with Dara Horn ](https://www.thefp.com/p/the-lie-at-the-center-of-antisemitism-coleman-hughes-dana-horn) Listen now Douglas Murray • U.S. Politics [ Douglas Murray: The 9/11 Failure That Still Haunts America ](https://www.thefp.com/p/douglas-murray-911-failure-justice-terrorist-guantanamo-bay) Twenty-five years after the September 11 attacks, the men who planned them have still not faced trial. Khalid Sheikh Mohammed and most of the accused have been locked up in Guantanamo Bay since 2002. Judges have retired, and plea deals have collapsed. Today, Douglas Murray examines how this happened and argues that a justice system that allows terrorists to die of old age in an interminable pretrial process is one that has failed. Read his latest column on what that failure says about our unpreparedness for the era we are now living in. Read story The Editors • U.S. Politics [ When Nonprofits Support Terrorists ](https://www.thefp.com/p/when-nonprofits-support-terrorists) A newly declassified CIA brief from 1998 found that Osama bin Laden used nonprofit shell organizations—including U.S.-based Islamic groups—to fund his terror plots. Today, a similar story is unfolding as multiple organizations on American soil present themselves as nonprofits, taking advantage of tax-exempt status while seeking to advance the ideological mission of terrorist groups like Hamas. Read our editorial on the latest evidence of this dangerous trend—and why there’s no excuse for making the same mistake the CIA revealed 28 years ago. Read story Simon Sebag Montefiore and Bari Weiss Live in New York For decades, the Middle East has shaped American foreign policy and loomed large in the public consciousness. Few understand its influence on our politics better than Simon Sebag Montefiore, who argues that America’s quagmires in the Middle East stem from a deep misunderstanding of the region—on both the left and the right. Join him October 1 as he sits down with Bari Weiss live in New York City to kick off his U.S. book tour for The Cauldron: The Making of the Modern Middle East. Get Tickets Now MORE FROM THE FREE PRESS [ Sydney Sweeney’s Naked Truth ](https://www.thefp.com/p/sydney-sweeneys-naked-truth-caitlin-flanagan) Caitlin Flanagan Read story [ I Thought Ukraine Was Losing. Then I Was Almost Hit by a Russian Drone. ](https://www.thefp.com/p/elliot-ackerman-ukraine-drone-gas-station-train) Elliot Ackerman Read story [ The Dangerous Ideology Behind the AI Warnings ](https://www.thefp.com/p/dangerous-ideology-effective-altruism-artificial-intelligence) Shyam Sankar Read story [ Amanda Knox: Patrick Clancy Can’t Win ](https://www.thefp.com/p/amanda-knox-patrick-clancy-grief-internet-crime) Amanda Knox Read story THE NEWS The Federal Reserve raised interest rates by a quarter point, its first hike since 2023, signaling that another increase could follow as the central bank tries to bring inflation under control. President Donald Trump fired back by demanding that rates be cut sharply, though he stopped short of criticizing Fed Chair Kevin Warsh by name. The Houthis fired drones and missiles at Saudi Arabia on Wednesday, including a major oil port on the Red Sea, and Saudi jets struck back with air strikes across Yemen in an escalating front of the Middle East war. (For more on the Houthis, read Zineb Riboua’s column from earlier this week.) A sweeping Russia and Iran sanctions bill passed the House in a 262–159 vote and is now heading to Trump for his signature. Named after the late senator Lindsey Graham, the legislation would hit countries that purchase large volumes of Russian oil and gas with tariffs of up to 100 percent, and is aimed at cutting off revenue that funds Russia’s war in Ukraine. European Commission president Ursula von der Leyen proposed making Canada the European Union’s first-ever “associate member,” drawing a standing ovation from European lawmakers. The proposal, framed as a response to a world grown more hostile, faces an uncertain path as EU member states would have to approve it, and one diplomat said that “nobody really knows what it means.” The House voted unanimously to send billionaire Leon Black a criminal contempt referral after he defied a congressional subpoena to testify and hand over documents related to his connections to Jeffrey Epstein. Black chose to fight the subpoena in court rather than comply. Charlie Kirk’s family filed a wrongful death notice Wednesday against Utah Valley University, alleging that a series of security failures left him exposed to a rooftop sniper. The notice is a required legal step before the family can sue. Merriam-Webster added 1,400 words and definitions to its dictionary, including looksmaxxing, vibe coding, and cuffing season. The publisher said the new entries offer “a window into the world today.” The Free Press earns a commission from any purchases made through all book links in this article.
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NFL Sunday Was Absolute Chaos From Start to Finish
The NFL is back. And after one Sunday, we already have plenty to talk about. The opening Sunday of the 2026 season delivered blowouts, comebacks, quarterback drama and absolute chaos. Some contenders looked exactly like contenders. Others immediately raised questions. Then, of course, there were the games nobody saw coming. Caleb Williams and the Bears…
Dolly Parton’s sister says nobody in entertainment reached out
Stella Parton says no entertainers she knows sent condolences after the death of her sister, Dolly Parton.
Dolly Parton’s sister says nobody in entertainment reached out
Stella Parton says no entertainers she knows sent condolences after the death of her sister, Dolly Parton.
'Nobody Wants This' gets season 3 release date at Netflix
Adam Brody as Noah and Kristen Bell as Joanne in episode 1 of 'Nobody Wants This' season 3. (Netflix)
Dillon Jones News Reveals Thunder Truth Nobody Admits
Sam Presti’s draft gamble on the versatile wing highlights a rare organizational luxury: the massive asset chest required to survive high-stakes misses while chasing elite championship depth.
Cat Pee Was the Billion-Dollar Business Nobody Saw Coming
Founder Daniel Rotman raised little money, hired cautiously, and built around a practical product instead of growth-at-all-costs. The result was a $1.4 billion acquisition by Mars.
Fantasy Football Week 1 2026 Start ‘Em Sit ‘Em: Kickers
Kickers get overlooked until the week they cost you a fantasy matchup, and Week 1 is loaded with sneaky traps hiding behind familiar names. A star kicker returning from injury or stuck behind a stalled red-zone offense can quietly bleed points, while a lesser-known leg in a high-powered attack racks up attempts nobody drafted for. Get these calls […] The post Fantasy Football Week 1 2026 Start ‘Em Sit ‘Em: Kickers appeared first on ClutchPoints.
We Need to Have a Conversation About Angel Reese
Angel Reese gets treated like a superstar. But are we sure she actually is one? Nobody can deny the rebounding. Nobody can deny the production. Reese is averaging 16.1 points and 12.4 rebounds this season, which is objectively impressive. But the WNBA is becoming increasingly loaded with elite players, and the bar for being called…
Cowboys' Brian Schottenheimer gets surprise boost nobody saw coming
Dallas Cowboys head Brian Schottenheimer is going to love this projection.
Pat Fitzgerald Creates New MSU Award After Viral Moment
Pat Fitzgerald found a new way to recognize toughness at Michigan State. He also found one nobody is likely to forget. Fitzgerald introduced a weekly Spartan Warrior honor Monday, with offensive tackle Robert Wright Jr. becoming the first recipient after…
Lil Duval launches tour for new horror-comedy film ‘Camp Duval: Ain’t Nobody Dying Today’
Leaving a legacy at Lee Health
Healthcare has always been an essential lifeline worldwide; nobody can beat the flu with their own two fists. It takes a team of doctors, nurses, therapists, surgeons and many other health care professionals to care for patients and help people reach a healthy, fulfilling life. For Southwest Florida locals, the name Lee Health is a
Gloria Steinem’s ‘Turtle Test’ Is a Business Lesson Every Founder Needs to Learn
If you’re wondering why your product isn't gaining traction, maybe you’re providing solutions nobody needs.
Trump says ‘nobody will’ build monuments for him once he’s gone
(CNN) — President Donald Trump did not dispute that he is building monuments to himself amid his architectural blitz in Washington, DC, saying in a recent interview that “nobody will
Built-in backlash: Musk’s toxicity complicates his return to politics
Jen Psaki looks at how Elon Musk's tone deafness on issues like data centers and his evident antisemitism, not to mention his image as a villain to many Americans since his disastrous implementation of DOGE at the start of Trump's second term, makes him a likely political liability for Republicans even as he hopes to help them financially. Jesse Lehrich and Rob Flaherty, co-hosts of the "Nobody Knows Anything" show, join to discuss.
66-74: Chart
Mariners 8, Red Sox 3 September Mariners: Bryce Miller, +0.15 WPAAugust Mariners: Nobody could possibly be that bad on the September Mariners Game Thread Comment(s) of the Day
Scientists discover a mysterious wave shaped like a decagon in Saturn's atmosphere
The strange structure appears to have formed recently, but nobody can explain exactly why
August Monthly Review: ChatGPT In Epic
Death, taxes, another frontier lab healthcare launch inspiring truly insane LinkedIn takes. As much as I want to stay away, I repeatedly am the crewman unplugging his ears whenever we pass these sirens. So it’s not the first and probably not the last time we dial up the typewriter rather than tie ourselves to the mast. The full blow-by-blow timeline: Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe The End of the Standalone PHR (Jan 8): ChatGPT Health arrives for consumers, at the time powered by b.well. I was bullish on the approach in that the best way for the PHR to finally solve distribution was to meet consumers were they already are (i.e. When Horizontal Meets Healthcare (Jan 9): OpenAI for Healthcare puts out the shingle for enterprises, with SharePoint ingestion standing in for the EHR integration the product actually needed. Another One: Anthropic’s Healthcare Debut (Jan 16): Claude's version, on HealthEx rails instead of b.well, with Agent Skills for FHIR development as the one true vertical-specific investment. ChatGPT for Clinicians: The Trap Sprung (Apr 24): OpenAI filled in the missing GTM middle with a free product for verified clinicians, effectively peeling the enterprise wrapper off ChatGPT for Healthcare and taking the PLG fight directly to OpenEvidence. OpenAI’s Second Attempt at Health (Jul 31): a relaunch of their patient specific app, now branded Health in ChatGPT, where the privacy partition came out, the connectors thinned, and b.well disappeared in favor of first-party FHIR work against a smaller network Beyond a Shingle So what was announced now? Today, we’re introducing a new electronic health record integration that brings authorized patient context from Epic into ChatGPT for Healthcare, along with the Healthcare Public Data plugin for direct, structured access to official healthcare datasets like PubMed, DailyMed, and CMS Coverage. Together, these capabilities bring ChatGPT closer to the systems and sources healthcare teams trust, while supporting the controls and compliance healthcare work requires. The core portfolio is unchanged from prior announcements we delineated and discussed (aside from the relaunch of patient-facing). Since trade publications still seem to be confusing them by using the wrong names: Enterprise sales motion: ChatGPT for Healthcare Protecting their core product / PLG: ChatGPT for Clinicians Consumer/patient-facing product: Health in ChatGPT So really, this is a feature release (specifically for ChatGPT for Healthcare when it comes to EHR integration). What’s cool about it, though, is that we are moving beyond just putting out a shingle. Everything in the January enterprise launch was horizontalizable: Horizontal tech companies thus generally start verticalization with their “putting out a shingle phase”. Telling the world you’re open for business as a horizontal tech company reliably attracts early inbound interest from buyers who are already trying to force-fit horizontal tools into domain-specific workflows and are eager for any signal that the vendor intends to support their use case more directly. Nothing was really vertical specific, which is exactly what you'd expect from the ultimate hypergrowth horizontal company dipping their toes into specific industries. But eventually you have to stop changing the sign on the door and start changing the product. Can you guess where the horizontal product was going to run out of road? This is the core dilemma writ large: verticalization requires differentiation, while scale economics of consumer and horizontal push toward unification. I’ve buried the lede so deep here it will be painful to some readers, but what should be shocking to no one is that my perspective is that EHR integration is the only path that meaningfully resolves this tension for ChatGPT for Healthcare. Integration with Microsoft Sharepoint is fine, but it is categorically insufficient for any product that hopes to influence clinical decision-making. SMART Money Well here we are, eight months later! Real vertical investment has begun, which surprised a few people. One friend in the industry messaged me: “Absolutely no way Epic gave ChatGPT API access.” Looking forensically at the announcements, the integration is notably read-only across appointment notes, laboratory results, medications, and specialist documentation. So while I’m not a betting man, I'd wager the house this is a SMART on FHIR launch: That sounds a lot like USCDI! The recommended path for the workflow they outline would be SMART on FHIR Their Health AI lead’s post is evocative of both standalone and EHR launch SMART, which another termed “ChartGPT” and “EHR Plugin” The implementation burden for SMART on FHIR is the lowest of the available integrative paths This is the team who literally did patient-facing SMART on FHIR with Epic last month Most importantly, if you’re a horizontal company, you generally still haven’t taken the full plunge and thus (overly) value reusability. SMART on FHIR is the logical compromise: healthcare-specific enough to matter, but standardized enough to reuse. Nobody Asked Judy Another friend asked “I thought they had to go to each health system, or did they go direct to Epic and now health systems opt in?” Given the trust paradigms in healthcare, this functionally cannot be Epic hoovering up all the data for OpenAI and shoving ChatGPT in their customers’ faces (or they would revolt). However, I do believe the aforementioned terrible coverage by TechCrunch and other outlets is probably responsible for that question, given the 325 million reference. When using FHIR as a business associate to an Epic customer, there is no EHR gatekeeping to speak of, as that isn’t how fhir.epic.com works: You register an app You pick your APIs You test against the sandbox APIs You list as “Ready for Production” Hospitals pick your app You test and go live with them Bluntly, nobody had to say yes or no in Verona (nor were they given the chance). Vendor Services (their next developer tier up that I doubt OpenAI is using quite yet in this initial release) certainly has contractual paperwork that some resent, but even there, the twin pressures of mounting antitrust and information blocking make outright gatekeeping increasingly fraught. My friend’s sentiment is, to me, representative of a broader industry neurosis, perhaps a sort of scar tissue of prior eras: people assume the gate is still there and never actually try the door. There are certainly other ways Epic (and any EHR) can put its thumb on the scale, but they are not so dumb as to stand in front of a federally mandated API and play bouncer at this exact moment in time. So I think they can and probably should go deeper, as this release is at best parity and at worst behind vertical-specific competition. OpenEvidence did a basic SMART launch with Sutter Health in February, allowing for more convenient evidence search by providers. They then add patient-context (the equivalent SMART on FHIR flow to what we see here) when Cedars-Sinai went enterprise-wide in May. UpToDate has four distinct applications across deeper workflows like patient engagement listed in Epic Showroom and announced a partnership with Epic to power Art at UGM Abridge and other ambient scribes have invested deeply into the deepest bidirectional clinical copilot workflow with integrations well beyond SMART on FHIR. In that light, the “Who is OpenAI primarily targeting here?” is clear. This release brings them into striking distance of OpenEvidence, but not the others quite yet. They are the only one of the three you can reach without building something truly Epic-specific. When will they go further? Competition is a great motivator to overcome the horizontal demons and start building things that can’t be reused: not across industries, not across EHRs, maybe not past the customer you built them for. That’s the price of actually verticalizing. The question is if and when OpenAI will be willing to pay it. Month in Review Here is the monthly review. As a reminder, this is a regular round-up of the month’s posts and other content to surface things you may have missed across regulation, litigation, interoperability, and beyond. AI assistance is used in these bullet summaries so I can focus on articles. Articles Published: None this month Video Content: The Information Exchange: Standards-based Thruple Edition (Aug 14): Back to school for us too, with Brad reporting in from the CMS Health Tech Ecosystem’s one year anniversary in DC. We get into the January CMS-0057 deadline, the fall rulemaking reading list, and why enrollment still keeps most apps off FHIR. The Information Exchange: Epic Dúnadan Edition (Aug 25): A UGM roundup with Ryan Brickner joining for the first time to check our takes against what the building actually thinks. Rangers, Ergo sitting on top of EHI, and a down-market lineup that needs some cuts. Regulatory: Stacked Deck, Bad Hand (Aug 05): ONC’s website refresh took the entire HIT Policy Committee record with it, so I rebuilt the archive and went looking for the regulatory capture story everyone assumes is buried in there. Stacking the deck and winning the hand turn out to be very different things. The Sixth Generation of Patient Access (Aug 19): A quick catalog of the five generations of patient access we’ve layered on since HIPAA, and the two candidates now competing to be the sixth. One is planned. The other is the market routing around the plan entirely. Court cases: Three Cases Walk Into a Docket (Aug 06): Two surprise settlements cleared the board in a single week, and then Judge Maddox dropped ninety-four pages on Vyne v. Henry Schein. The sleeper is a DMCA holding that makes direct-to-database a considerably riskier business model. Epic v. Health Gorilla: Into the MDL (Aug 10): Nine class actions are headed to Miami, and the Panel signaled it wants to bring the case that spawned them along too. That would leave Epic arguing the requests were obviously fraudulent in one courtroom and unknowable in the other. Amazon v. Perplexity: Agents Are Legalized! (Aug 11): The Ninth Circuit vacated the injunction against Comet, holding that the user is the one accessing the servers rather than the company that built the agent. A real win for agentic access, and a much narrower one than the headline suggests. Veeva v. Epic: Come At Me, Bro (Aug 26): Epic’s response brief wants the dismissal affirmed and, unusually, wants the opinion published as precedent. Buried in it is Epic’s own description of what its non-competes actually prohibit, which current and former employees should read closely. EHRs: The Contract Epic Would Never Sign Today (Aug 04): A 1999 SEC exhibit catches Epic licensing nearly its entire product line, Tapestry included, to the company that became TriZetto. The marketing services menu attached to it is the part that will make you blink. Forecast from Verona (Aug 07): The Epic Almanac makes one argument six different ways: the AI is only as good as the networks behind it. Emmie headlines, Art’s context stack is the most ambitious part, and Penny finally gets an autonomous coding date on the calendar. Works With Epic MyChart (Aug 17): Epic’s first new Showroom category since the death of Workshop certifies hardware instead of software, badge on the box and all. Made for iPhone, but for blood pressure cuffs, and rough news for anyone selling the RPM stack sitting in between. UGM Hot Takes 2026 (Aug 20): Everyone else covered the AI announcements, so I went after Savvy deleting the payment gateway, Rangers as Boost with the timer removed, and a down-market lineup with too many entries. Plus the Health Grid tidbits I cannot help myself on. MyChart Central Grows Up (Aug 24): Device data and Emmie turn Epic’s identity hub into a full consumer platform, which is both a logical answer to ChatGPT and a bit of a mistake. It also happens to be the best scraping target Epic has ever shipped. Industry Analysis: The Wrong Yardstick (Aug 12): Vertical software keeps getting judged against Superhuman and Notion, which is the wrong bar entirely. Your user is comparing your product to a whiteboard and forty phone calls before lunch. Primitives vs. Abstractions (Aug 27): Developers want building blocks, systems of record prefer to hand out business logic, and both sides have a real case. There’s no test from the outside that separates the engineering reason from the competitive one, which is why this keeps ending up in court. Cross-industry Comparisons: The Two Kinds of Platform Power (Aug 18): Attention power and record power are different problems that keep getting handed the same regulatory toolkit. Congress’s latest swing at Big Tech shows both what’s possible and where it falls apart. The Dogs of (Platform) War (Aug 21): A CourtListener alert turned up a property management fight with healthcare’s exact shape and none of the Cures Act. Shell prospects, ghost accounts, a notetaker bot that came back to haunt someone, and a lawyer arguing both sides of the same theory in two states. Fractals All the Way Down (Aug 31): Yardi dominates property management right up until you zoom into one segment, where AppFolio owns it outright and Yardi doesn’t appear at all. Where you draw the line around a B2B software market is about to decide an awful lot of cases. Other News: If Judy Had the Courage (Aug 13): A short eulogy for the era when software was allowed to look insane: WinAMP, bold colors, and everything the grey chatbot era has taken from us. External Media: Portland Monthly Health Tech Meetup: Erin O’Brien channeled my own feelings - maybe it’s just because it’s August and beautiful, but the monthly edition of the PDX Health community meetup was a ripper. Make sure to reach out if interested to join for the next one. STAT’s Coverage of Epic This Month: Brittany Trang of STAT did a fantastic job of breaking the FTC investigation that’s been lurking, as well as UGM related coverage, so I had to give her her wish of a meme. Fall Conferences: I’m pumped to be kicking off my fall conference season in NYC at Nabla Accelerate next month, which Chrissy provided the link to apply for. Here’s the rest of my schedule in case you want to meet up: Commonwell (Redwood Shores, CA): Oct 13-14 Open@Epic (Madison, WI): Oct 21-22 eHealthExchange (Austin, TX): Oct 27 Sequoia Project (Austin, TX): Oct 28-29 HLTH (Vegas): Nov 15-18 RSNA (Chicago): Nov 29-Dec 3 Posts I Liked: HTI-6 Should Unbundle API Certification: Josh Mandel makes the case that HTI-6 should split (g)(10) into separate authorization and data certifications, so a PACS or a genomics platform can certify only the role it actually performs. Imaging is the urgent example, but the structure solves a much bigger problem. On implementing ePrior Auth with Epic: Scott Rossignol’s field notes from a live ePrior Auth build on Epic, including the two app registrations nobody warns you about and the CPT mapping problem waiting at the end. CMS-0057 implementations are going to be such a beast. Healthcare point solutions are starting to look a lot like streaming services: Spencer Dorn runs the cable-to-streaming arc against health IT and lands squarely on the bundling half of the cycle. Bundling can be good! It can also be bad! Life is nuanced. Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
Nobody is preparing for the worst day in history
There are multiple Black Swan events that could create a global famine with little to no warning. Governments must start preparing for them now — the risks of not doing so are too great.
What Box Office Bomb Crushed Obsession on Streaming?
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Before we get into this week’s issue, let me ask you for some suggestions. At the risk of coining too many names for too many things (hence my dictionary of terms...), I need a name for straight-to-streaming films that are too expensive to justify a straight-to-streaming release, but not big enough to justify a theatrical release. Like some of the films I highlighted in last week’s tally of the biggest film flops of 2026 so far: Hulu’s Mike & Nick & Nick & Alice, Pizza Movie or Never Change! They don’t feel like “made for TV movies” (think Hallmark and Lifetime movies, cheap Netflix romcoms, or Disney Channel Original movies, for example) but they don’t feel big enough for the big screen. They’re not “cinematic” enough, so to speak. As I wrote... “I still need a name for this middle zone of film that’s too expensive to go straight-to-streaming but too small to justify a theatrical release (with all the PR, distribution, marketing and whatnot costs that go along with it), the Goldilocks zone of streaming film death.” Friend of the newsletter Brandon Katz has suggested the “Bermuda Budget Triangle”, “The Platform Gap” and “The Distribution Deadzone”. I love that first one. I’d offer up the much wordier “The Streaming Budget Dead Zone” or “the Goldilocks Zone of streaming film death” but that last one isn’t accurate since, unlike Goldilocks’ porridge, these films are the opposite of “just right”. That’s the problem! Anyway, if you have any suggestions, let me know! On to today’s Streaming Ratings Report. As you can tell by today’s headline, things are going to be spicy! I’m looking at a box office bomb that did really, really well on streaming, somewhat challenging a few different narratives. And another Netflix series declined in its second season. All that, plus Wicked: For Good switching streamers, The Hawk continuing its strong run, _The Bear’_s finale season finally dropping off the charts, the WNBA posting a big viewership number, “shallow libraries”, a sitcom spinoff failing to launch, more big budget IP flopping on Paramount+, all the flops, bombs and misses, and a whole lot more. Let’s dive right in! (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, JustWatch and Reelgood interest data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the weeks of July 20th to July 26th, 2026. You can find a link to my terminology here.) Subscribe Film - The Latest Theatrical Success Story on Streaming In the latest edition of “Flops, Bombs and Misses of the First Half of 2026”, I made a crucial change: I started including theatrical films with the streaming misses. The streamers have collectively—including Netflix, but not to as big of an extent—stopped making a lot of straight-to-streaming films, and the ones they do make aren’t as expensive as in the heyday of the streaming bubble. After the following two films bombed in theaters, you’d guess that they’ll be included in my next collection of flops, bombs and misses six months from now: Masters of the Universe on Prime Video (only $64 million domestic box office) Mortal Kombat II on HBO Max ($79 million domestic) But you’d be wrong! Masters of the Universe, a reboot of the He-Man franchise, a toy from the 1980s, came to streaming on 22-July and did great! This long-gestating project—it’s been at every studio for years, and came close to getting a greenlight at Netflix—then finally came to theaters in June, and showed up on streaming less than two months later. (I don’t love this short theatrical window.) It surprisingly grabbed nearly 20 million hours on its debut: That means, wait for it, Masters of the Universe is currently the eighth biggest film on streaming through two weeks. My rough bar for “hit” is shows or films in the top 15%. Ergo…Masters of the Universe is a legit, streaming hit! (One quick caveat: if it falls out of the top ten next week, it will move to 13th overall, just on the edge of the top 15.) Of course, that’s the data for just 2026. Here’s how it stacks up to Prime Video’s theatrical films: That drop into its second week is typical for Amazon films, but also a worrying sign. I have a feeling interest in this film is front-loaded and we’ll see it drop off after this. As for Mortal Kombat II, in this case, the viewership numbers roughly match the theatrical outing, with only 4.1 million hours in its first week. Here’s how it stacks up to other HBO Max films: The best defense of this number is that, as a relatively violent rated-R film, Mortal Kombat II never had a good chance at breaking out. So now it’s time for a little big of “Entertainment Nuance Guy”: First, yeah, my headline is obviously facetious, since Masters of the Universe besting Obsession says more about horror as a genre than it does that film. Second, I read and listened to quite a few “nobody wanted this IP” takes about Masters of the Universe, and that’s not really true. At least enough people wanted it to power a 20 million+ hour debut! Third, both this film and Mortal Kombat II were considered “average” by viewers, but not great films, with a 6.4 and 6.3 respectively on IMDb. That’s just shy of the level needed to be a word-of-mouth hit. Fourth, in the olden days, strong word of mouth could transform a box office miss into a cable/DVD hit, like Austin Powers or The Shawshank Redemption. We haven’t seen a lot of examples of that on streaming, though. And there are far fewer ways to monetize the post-theatrical life of a film these days. Fifth, Prime Video has shown an ability to push their own titles well, likely because they control the Amazon Fire TV ecosystem. Add it all up, and here’s my nuanced take on Masters of the Universe: it was a box office bomb, but, shockingly, a streaming hit. Unfortunately, while being a theatrical hit saves your film financially, being a streaming hit does not. Both Masters of the Universe and Mortal Kombat II had big budgets and needed to make more money in theaters to justify them. So…Straight-to-Streaming or Theaters? We’ve hit a really fun point in the streaming calendar, since the films that came out in theaters in April, May, and June are now arriving on streaming. So the “Do theatrical releases help streaming performances?” question is gonna get a fresh round of updates nearly every week. No single week will answer the question, but we may get some insights. For example, so far in 2026, it looks like theatrical films are lasting longer on the weekly Nielsen film charts. Here’s a list of films that have made the charts in their fourth or fifth week of release, separated by “for kids” and “general entertainment”: It certainly seems like theatrical films are lasting just a pinch longer on the charts, with Project Hail Mary being the current five-week champion. One Battle After Another did well for HBO Max too, and even The Sheep Detectives made it four weeks. The only exception to this trend? Obsession, which only lasted two weeks on the charts. You might tempted to overreact to this news. Don’t. Obsession is a huge horror hit, but horror just doesn’t do as well on streaming. By the way, here’s the Google Trends for various theatrical and stremaing films: Plus, when it comes to Netflix in four months, Obsession may have another big boost. Quick Notes on Film Note that when I write, “the streamers have pulled back on straight-to-streaming films” that doesn’t mean “abandoned” because Netflix is gonna Netflix. On 24-July, they released 72 Hours, a Kevin Hart comedy. Along with Eddie Murphy, Mark Wahlberg, John Cena and Adam Sandler, Kevin Hart is a streaming film star now. Did this latest one work? Not really. It only garnered two weeks of 13.2 and 12.2 million hours on its debut, well below the 20-million-hour hit threshold. It also was poorly received critically—a 44 on Metacritic—and by customers—a 5.4 on IMDb on 21K IMDb reviews. We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… The latest Netflix true crime doc to pop on the charts… How The Bear finished its run… Netflix’s latest Western to return to streaming… What Paramount+ animated film flopped… And what sitcom also missed… All the flops, bombs and misses… And a whole lot more… ...please subscribe! We can only keep doing this great work with your support. Coming Soon! I’m behind by a week, so we’ve got two issues coming your way this week, including one in a couple of days or so, then we’ll be all caught up**.** Next issue, inspired by The Super Mario Galaxy Movie coming to Peacock, I’m going to take a look at the workhouse of streaming TV: kids films. Plus The Devil Wears Prada 2 continues theatrical films’ big run on streaming. All that, plus another surprise hit on Hulu, Lioness on CBS, and a whole lot more. Long term, LeBron James is filming his own “Last Dance”-style docu-series, surprising no one. But as I’ve been writing about a lot this summer, this genre is really overrated, so whoever ends up buying it (reportedly ESPN) really shouldn’t pay too much for it.
The light is blinking red on Trump messing with the 2026 election
It should surprise nobody that the president who tried to overturn the 2020 election based on lies — and didn’t seem to mind his supporters rising up violently on January 6, 2021 — might try to monkey with the 2026 midterm elections.
Apple Might Add a Pencil to Its First Foldable, but Don’t Expect It at Launch
Steve Jobs said in 2007 that "nobody wants a stylus" for the iPhone. That could change.
A fifth-grader in Kansas City clicked ball-and-stick atoms together in science class and asked her teacher if she'd made a real molecule — he photographed it, sent it to a chemistry professor, and at ten years old she became co-author of a published paper on a structure nobody had ever described
A ten-year-old's casual question about her chemistry model kit led to a published paper describing a molecular structure that had eluded professional scientists for decades.
The universe is still speeding up, but nobody knows why
A major new analysis challenges recent claims that the universe's expansion is slowing, finding that the evidence for cosmic acceleration remains strong. The findings preserve the leading role of dark energy, while leaving scientists with the enduring mystery of what this strange cosmic force actually is.
Son works for parents' hospitality business gets upset when he is fired for starting similar business without telling them
Nobody should have to make their livelihood at the expense of their family members.Work and family can prove to be a problematic mix for many reasons, and one of these is that those who work together ...
Grand jury finds taxpayer dollars "misappropriated" to Hope Florida, complains "nobody will take responsibility"
A Florida grand jury found the DeSantis administration misappropriated $10 million in taxpayer money for political purposes.
There is still some unsettled business in the NHL offseason: Red Wings GM, Dylan Larkin, Connor Hellebuyck, Adam Fantilli and more
The start of the 2026-27 NHL season is a little more than a month away, and there are still a few big storylines that still need to be settled around the league. Let’s talk about some of them… 1. The Detroit Red Wings still need a general manager, and that person has to figure out what to do with Dylan Larkin The Red Wings are definitely not the worst team in the league, but this is still a pretty chaotic situation where things are looking quite grim from the outside. They have not really done much to meaningfully improve a roster that has proven time and time again it is not good enough to make the playoffs or be a contender. They still have $19 million in unused salary cap space. The Yzer-plan has officially come to an end with general manager Steve Yzerman being moved elsewhere in the organization, while ownership seems to be taking its sweet time finding a replacement. One of their top young players, defenseman Simon Edvinsson, remains unsigned as a restricted free agent and has nobody to negotiate a new contract with at the moment. The longer that drags out into training camp, the worse that is going to be for the team, himself and his development. They still have the Dylan Larkin situation lingering over everything as their captain, longest-tenured player, and one of their best players has a trade request that has yet to be fulfilled. The entire situation is also on hold until a new general manager comes in and figures out what to do with Larkin and whether or not his request will be honored. But the latter point brings up another potential question and issue: What if a new general manager comes in and is able to convince Larkin to stay in Detroit? Is that beyond the realm of possibility? Is it really a stretch to think that Larkin’s issue was more of an Yzerman issue than a Red Wings issue? While Larkin has never said anything specifically about his relationship with Yzerman, it’s pretty clear that he did not share the vision for the franchise, or the way the team was being run and constructed. Now that somebody else is going to be running the show, there might be a door for Larkin to walk back in through. Even that brings its own set of potentially chaotic outcomes and questions, ranging from whether or not the Red Wings locker room will welcome him back as their captain, to whether or not the fan-base will be willing to do the same. I imagine the former will be a far easier sell than the latter, and even then nothing cures issues in professional sports quite like winning. They just need to find somebody that can actually turn them back into winners. For now, and based on everything we know, Larkin’s trade request still stands, and still includes just four teams he is willing to accept a trade to, including the Vegas Golden Knights, Minnesota Wild, Florida Panthers and Dallas Stars. Minnesota remains the best potential fit from a hockey and positional standpoint, but the Wild simply do not have the type of trade assets or young talent that should interest the Red Wings. None of the other three teams seem to be in any better of a situation. Nothing about this seems fun for the Red Wings. 2. Will Connor Hellebuyck be a Winnipeg Jet this season? Subscribe
WHO RUNS MARYLAND POLITICS NOW?
ByThe Maryland Wire The Machine Didn’t Die — It Broke Apart Mike Miller is gone. Steny Hoyer is retiring. The two men who helped define Maryland political power for generations are disappearing from the map. Nobody has inherited all of what they controlled. Instead, Maryland power has fractured among Wes Moore, legislative leaders, county organizations, federal figures and a new generation fighting to connect the pieces. By The Maryland Wire For decades, there were two names in Maryland politics that required almost no explanation. Mike Miller. Steny Hoyer. You didn’t necessarily have to agree with them. You didn’t even have to like them. But everyone understood something: Not social-media power. Not cable-news power. Not the temporary power that comes from one big election. They possessed political infrastructure. Relationships. Institutional memory. Donors. Staff. Allies. County leaders. Lobbyists. Legislators. Operatives. And the ability to connect people who needed something with people capable of delivering it. Today one is gone. The other is preparing to leave Congress after more than four decades. And Maryland faces a question it hasn’t had to answer in generations: The answer may be: Nobody. At least not the way Miller once did. Maryland’s old machine wasn’t inherited by one person. It fragmented. And now several ambitious political networks are competing to assemble the pieces. Miller presided over the Maryland Senate for 33 years, becoming one of the longest-serving legislative leaders in American history. He stepped down as Senate president in 2019 and died in January 2021. (Behavioral and Social Sciences) But Miller’s real power wasn’t the title printed on his door. It was the accumulation of relationships behind it. Miller came from Maryland’s old Democratic organization and developed into an extraordinarily adaptable political operator, retaining authority even as the Senate around him became younger and more liberal. (The Washington Post) He understood something fundamental: politics is information. Who wants what? Who owes whom? Which senator needs help? Which county executive wants something in the budget? Which committee chairman can move a bill? Which lobbyist represents which client? Which candidate should receive support today because that candidate could be a senator ten years from now? Miller knew the answers because he’d spent decades collecting them. Miller’s influence wasn’t confined to elected officials. Former Miller aides became prominent Annapolis lobbyists. Maryland Matters noted figures such as Joseph Bryce and Timothy Perry among the high-profile lobbyists who had once served as top Miller aides. (Maryland Matters) That was one of Miller’s greatest political achievements. He didn’t merely accumulate power around himself. He produced alumni. Staffers became lobbyists. Legislators became committee chairs. Allies became power brokers. And decades of relationships reinforced one another. By the end, Mike Miller wasn’t simply a person. He was an ecosystem. Hoyer’s network was different. Miller’s power was rooted in Annapolis. Hoyer connected Maryland to Washington. He served in the Maryland Senate before winning election to Congress in 1981 and ultimately became one of the longest-serving members of the U.S. House and a longtime No. 2 in House Democratic leadership. In January 2026, Hoyer announced that he would retire rather than seek another term. (The Washington Post) His influence stretched through: Prince George’s County, Southern Maryland, Congress, federal agencies, donors, campaign organizations, and generations of Democratic candidates. And Hoyer had something machine builders value enormously: a succession network. That became obvious almost immediately. When Hoyer announced his retirement, Maryland’s 5th Congressional District exploded with candidates. Twenty-four Democrats entered the race. But when the votes were counted, the winner was Adrian Boafo, Hoyer’s former campaign manager. Boafo wasn’t running without establishment help. He was endorsed by Hoyer. He was endorsed by Governor Wes Moore. And he ultimately won the Democratic nomination. (AP News) In his victory speech, Boafo described the result as voters deciding it was time to “pass the torch to a new generation of leaders.” (AP News) That phrase captures the transition perfectly. Hoyer’s seat isn’t simply being vacated. Parts of his network are being transferred. But they aren’t being transferred to another Steny Hoyer. They’re being absorbed into a newer political constellation. And standing prominently inside that constellation is Wes Moore. If someone forces you to name the single person sitting nearest the center of Maryland Democratic politics today, the answer is Governor Wes Moore. The 2026 Democratic gubernatorial primary underscored the scale of his position. Moore won renomination overwhelmingly, receiving roughly 88% of the Democratic primary vote. (WBAL-TV) But raw votes tell only part of the story. Look at the party infrastructure. The Maryland Democratic Party says Steuart Pittman ran for state party chairman in 2025 “at the suggestion of Governor Wes Moore.” Pittman took office that July. (The Maryland Democratic Party) That’s important. Governors traditionally influence their state parties. But party leadership plus fundraising, endorsements, executive appointments and national relationships creates the beginning of something bigger: a political network that could survive the governor’s term. Moore also played a role in the Hoyer succession by backing Boafo. That’s how political organizations reproduce themselves. You support tomorrow’s politician today. And that’s the distinction that matters. Moore has enormous statewide visibility. Miller had decades of accumulated legislative control. Moore can endorse candidates. Miller could influence the environment in which legislators lived every day. Committee assignments. Leadership positions. Legislative priorities. Relationships that had been accumulating since before many current lawmakers entered politics. Moore may have a larger national profile than Miller ever possessed. But he doesn’t possess Miller’s half-century of Annapolis memory. Nobody does. Which is why the modern Maryland political structure looks less like a pyramid and more like several power centers connected by overlapping relationships. One of those centers belongs to Senate President Bill Ferguson. Ferguson controls an institution no governor can simply command. The Senate. Maryland’s official 2026 legislative records identify Ferguson as Senate President. (Maryland General Assembly) That means influence over: committee structure, Senate leadership, legislative priorities, confirmations, and negotiations with the House and governor. But Ferguson is not Mike Miller 2.0. Miller’s extraordinary longevity allowed him to become almost inseparable from the institution. Ferguson possesses the office. Miller possessed the office plus decades of political mythology and accumulated relationships. Those aren’t the same thing. The House now has its own new center of gravity. Official 2026 legislative records identify Joseline Peña-Melnyk as Speaker of the House of Delegates, alongside Ferguson as Senate President. (Maryland General Assembly) That makes the current Maryland governing triangle: Executive power. Senate power. House power. None fully controls the others. And that fact alone demonstrates how different modern Maryland is from the Miller era. The governor proposes. The legislature disposes. Committee leaders negotiate. County interests intervene. And political coalitions shift issue by issue. That’s not one machine. That’s a networked power structure. Then there’s U.S. Senator Angela Alsobrooks. Her significance isn’t that she is the new Hoyer. She isn’t. Hoyer spent decades constructing his network. Alsobrooks brings something different: Prince George’s County roots, a statewide electoral organization, a United States Senate platform, and relationships with national Democratic leaders. That makes her a critical bridge between Maryland and Washington at precisely the moment Hoyer leaves. Hoyer’s retirement therefore doesn’t necessarily weaken Prince George’s influence. It changes who carries it. Prince George’s itself is undergoing a dramatic generational transition. Official 2026 results show Aisha Braveboy winning the Democratic County Executive primary with 87,944 votes and 73.31% of the vote. (Maryland State Board of Elections) That’s political infrastructure. Prince George’s is one of Maryland’s central Democratic vote engines. A county executive with that level of primary support gains: appointments, budget influence, organizational relationships, donor access, and a platform for cultivating the next generation of political leadership. Braveboy therefore isn’t merely another person on the Maryland power map. She controls a place from which a political organization can be built. Boafo is particularly interesting because he sits almost perfectly at the intersection between the old and new worlds. He worked for Hoyer. Hoyer endorsed him. Moore endorsed him. Then Boafo beat an enormous Democratic field for Hoyer’s seat. (AP News) That doesn’t make him powerful on Hoyer’s scale. He’s just beginning. But it illustrates how power actually transfers: not through a ceremonial handoff, but through endorsements, donors, staff, relationships, and voter confidence. Boafo may become Hoyer’s congressional successor. He will not automatically inherit Hoyer’s 40-plus years of political capital. That part has to be rebuilt. This is the part that often gets overlooked. When a machine breaks apart, power doesn’t only move upward. Some people’s relationships become less valuable. Former Miller aides still know Annapolis. Former Miller allies still possess institutional memory. Veteran lobbyists don’t forget how legislation works. But something fundamental disappeared when Miller did: the common center. The person capable of connecting all of them instantly was gone. That changes the value of a political network. Imagine knowing everybody in Annapolis. Useful. Now imagine the person who introduced many of those people, appointed committee chairs, influenced Senate priorities and understood decades of relationships is simultaneously Senate President. Much more useful. Remove that person and the individual relationships remain. But the system becomes decentralized. First: Bill Ferguson. The Senate’s institutional relationships now run through his leadership rather than Miller’s. Second: the House leadership. With the Miller-Busch generation gone, today’s House leaders are building their own committee chairs, alliances and relationships. Third: Wes Moore. Moore became governor after Miller was gone. That distinction matters. Earlier governors had to operate with Miller sitting across State Circle. Moore entered office during a generational reset. Instead of negotiating with the old machine, he has the opportunity to help build the next network. Fourth: Angela Alsobrooks and the emerging Prince George’s generation. Hoyer is leaving. Miller is gone. The county’s political leadership now belongs to another generation. Fifth: politicians who were outside the old Miller organization. When someone dominates an institution for 33 years, inevitably some politicians develop within that organization and others outside it. Miller’s departure created room for people who may never have risen as quickly under the old structure. That’s the biggest point. If Mike Miller’s power had simply transferred to Bill Ferguson, Maryland would still have a machine. If Hoyer’s influence simply transferred to Boafo, Maryland would still have a machine. If every county leader simply took orders from Moore, Maryland would have a machine. None of those things happened. Instead: Moore controls the statewide executive platform. Ferguson controls the Senate. Peña-Melnyk controls the House. Alsobrooks has statewide and federal reach. Braveboy has Prince George’s executive power. Pittman leads the state Democratic Party after Moore encouraged him to seek the role. (The Maryland Democratic Party) Boafo represents the beginning of the post-Hoyer congressional generation. And Baltimore, Montgomery County, organized labor, donors and other county organizations maintain their own centers of influence. That’s not one machine. If you want to understand where Maryland power is moving, don’t simply watch office titles. Watch endorsements. Who does Moore support? Who does Alsobrooks support? Who gets Ferguson’s allies? Who gets House leadership? Who gets Hoyer’s blessing? Who gets labor? Who gets major donors? And most importantly: That is where the new Maryland network becomes visible. The Boafo race was a textbook example. Hoyer’s successor didn’t emerge randomly from 24 candidates. He had ties to the outgoing incumbent and support from the governor. The old network and the emerging one overlapped. And voters chose him. (AP News) Moore may ultimately become the most important person in determining whether Maryland develops another durable statewide political organization. But the test isn’t whether Moore himself remains popular. The test is what happens to the people he supports. Which delegates become senators? Which senators become committee chairs? Which county officials become executives? Which staffers become candidates? Which appointees become statewide leaders? Who gets his donor network? Who gets his political advisers? Who eventually gets his endorsement when Maryland faces a post-Moore gubernatorial succession fight? That’s how we’ll know whether Moore was merely a successful governor— or the founder of another generation of Maryland power. There’s another category worth watching: politicians who came from Miller’s Maryland but remain active in the new one. Dereck Davis is one. Anthony Brown is another. Veteran legislators and former officials throughout the state still possess old relationships that newer politicians don’t. These people can function as bridges. That’s important because political systems rarely reset completely. The new machine usually grows partly from pieces of the old one. Donors don’t disappear. Lobbyists don’t disappear. Operatives don’t disappear. Institutional memory doesn’t disappear. They find new centers of gravity. If you want one name: His overwhelming 2026 Democratic renomination, executive authority, national profile and influence within the Maryland Democratic Party make that difficult to dispute. (WBAL-TV) But saying Moore “runs Maryland” the way Miller once ran the Senate would oversimplify the reality. Maryland power today looks more like this: WES MOORE Statewide organization.Appointments.Fundraising.Executive government.National Democratic relationships. BILL FERGUSON The Senate.Committees.Confirmations.Legislative leverage. JOSELINE PEÑA-MELNYK The House.Committee leadership.Budget and legislative leverage. ANGELA ALSOBROOKS Statewide electoral organization.Federal platform.Prince George’s relationships.National Democratic connections. AISHA BRAVEBOY Prince George’s executive organization.County government.A major Democratic vote base. THE POST-HOYER GENERATION Boafo and the emerging political class that will have to rebuild Hoyer’s Washington-Maryland network rather than simply inherit it. It did something more interesting. Mike Miller’s influence was too personal, too old and too deeply rooted in his own relationships to be inherited whole. Hoyer’s network is too extensive and too intertwined with decades of congressional politics to fit neatly inside one successor. So the pieces are moving. Toward Moore. Toward Ferguson. Toward Peña-Melnyk. Toward Alsobrooks. Toward Braveboy. Toward younger candidates and new county organizations. And toward veteran political survivors who understand both eras. That’s the next chapter of Maryland politics. The person who eventually connects: Annapolis, Prince George’s, Montgomery County, Baltimore, labor, business, donors, the Maryland Democratic Party, and the congressional delegation will possess something Maryland hasn’t truly seen since Miller’s heyday. Not merely another elected official. And maybe that’s why searching for “the next Mike Miller” is the wrong exercise. There may never be another one. The more important question is: Miller spent half a century becoming that person. Hoyer spent decades becoming another version of it. Maryland’s current political leaders are still competing for the privilege. And until somebody actually connects all those pieces, the most accurate answer to the question “Who runs Maryland?” may be the most fascinating one of all: No one does. Not anymore. But there are plenty of people trying. Sources University of Maryland and Maryland Matters — Miller’s 33-year Senate presidency and political legacy. (Behavioral and Social Sciences) Washington Post historical reporting — Miller’s rise from Maryland machine politics and ability to retain power as the Senate evolved. (The Washington Post) Maryland Matters — former top Miller aides who moved into Annapolis lobbying and the changing Senate power structure. (Maryland Matters) Washington Post and Reuters — Hoyer’s January 2026 retirement announcement after more than four decades in Congress and his long Democratic leadership career. (The Washington Post) Associated Press — Adrian Boafo’s 2026 victory in the Democratic primary to succeed Hoyer, including Hoyer and Moore’s support and Boafo’s “pass the torch” remarks. (AP News) Maryland Democratic Party — Steuart Pittman’s official biography stating that he sought the state chairmanship at Moore’s suggestion. (The Maryland Democratic Party) Maryland General Assembly — official 2026 records identifying Bill Ferguson as Senate President and Joseline Peña-Melnyk as Speaker. (Maryland General Assembly) Maryland State Board of Elections — official 2026 Prince George’s County results showing Aisha Braveboy’s dominant County Executive primary victory. (Maryland State Board of Elections) 2026 election reporting — Moore’s overwhelming Democratic gubernatorial primary victory. (WBAL-TV)
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In his implementation, one agent scores novelty, while another tries to learn “how scientists think and how they navigate through a complex world of data,” so that high-potential nodes can trigger deeper investigation. As frontier AI labs deploy agents toward scientific discovery, giving AI authentic scientific taste remains a trillion-dollar dilemma. The bottleneck is that the record we have kept for centuries of science might be insufficient to get us there. The experiments that never make the paper Peter Medawar, 1960 Nobel laureate and “father of transplantation,” asked in 1963 whether the scientific paper was a fraud, and answered yes: the form of the paper misrepresents the thinking that produced it. Sixty years on, the diagnosis is unchanged. A paper presents a clean progression from hypothesis to result to conclusion. Lost along the way are the unconventional theories, the abandoned or unaffordable methods, and the underwhelming and inconclusive data. It reads like a browser history with every dead end deleted: the ten open tabs, the four rephrased queries, the wrong turn down a subforum. All scrubbed, leaving one clean path from question to answer as the canonical path. What has changed since then is that the discarded material is now worth something. No high-impact journal wants these artifacts, but raw trial and error is the most likely source of the training data required to develop scientific intuition, or what researchers call taste. Earlier attempts to capture the discards were motivated by scientific integrity. The Journal of Negative Results in Biomedicine launched in 2002 to publish rigorous studies that disputed established models or exposed ineffective treatments. Its archive preserved negative conclusions after they had become papers, rather than the live alternatives and arguments that produced them. BioMed Central closed it in 2017, saying the mission had been served now that other journals publish null results. A less generous reading is that in fifteen years it published around 200 papers because almost nobody wants to read a negative result, let alone write one up when it will not count toward academic tenure. AI models are different. Even an uninteresting negative result can be useful, provided it is labeled. Earlier this year, Anthropic put a version of this to the test. The company pulled 129 decision points from real Claude Code sessions between January and March 2026, showed models the work up to a human detour, and asked what should happen next. Claude Mythos Preview beat the human choice 64% of the time, while Opus 4.5 managed 51%. The comparison was tilted toward the models because Anthropic deliberately chose moments where the human decision had room for improvement. On 127 further scenarios where the human action was already strong, the models improved on it only about 20% of the time. The study was possible because Anthropic’s researchers work inside a tool that logs by default. The reasoning, detours and outcome are produced in the same working environment. Biology has no equivalent. Its reasoning happens in hallways, at benches, in Slack threads and on whiteboards, while the outcome arrives weeks later somewhere else. The record has to emerge from the work itself. Ask scientists to reconstruct it afterwards and we’ll create another polished account. Subscribe A log is not a label Before any of this becomes training data, a negative result has to say what failed. The first paper published in the Journal of Negative Results in Biomedicine examined 234 negative studies across five leading medical journals. Only 30% discussed statistical power, and half clearly defined a primary outcome. Tell a model an experiment failed, without telling it whether the assay was underpowered, a reagent had degraded, or the hypothesis was simply wrong, and it will learn noise with confidence. Decision histories have a second missing label too. When a lab considers five experiments and runs one, only the chosen branch returns an outcome. The other four are experimental counterfactuals. Researchers call this the selective labels problem: the data reveal results only for the actions someone chose to take. Such a record can teach a model to imitate a lab’s taste, but it cannot establish that the taste was good. It also smuggles local constraints into general lessons. A lab that never ran cryo-EM because it did not own a microscope teaches a model that cryo-EM is rarely the right call. Alasdair’s nodes preserve the candidate set, which is the necessary first step. To be useful, each decision record needs six fields: The evidence available at that moment, and nothing that arrived later. The candidates considered, including the ones dismissed in a sentence. For each candidate: the expected result, the confidence attached to it, and the cost in time and money. The route chosen, and the reason. What happened next. How the evidence changed the scientist’s view. These must be timestamped before the outcome, because hindsight turns uncertainty into inevitability. Disagreement also has to survive. Averaging three scientists into one clean rationale reproduces exactly the information loss we are trying to fix. But there is an obvious failure mode here. Once decisions are logged and scored, people log for the record post-facto. Anyone who has watched an electronic lab notebook fill up with retrospective tidying knows how quickly a research tool becomes a compliance exercise. A record that costs a scientist ten minutes of honest reflection per decision is worth far more than one that costs an hour of performance. A publication initiative called Registered Reports offers a useful starting point. Here, researchers submit their rationale, methods and analysis plan for peer review before the data exist, and the journal commits in principle to publish if they follow the approved plan. Nature has now expanded the format across every field it covers. This approach to paper writing timestamps intent before the outcome, but it freezes one plan. A useful search history must also preserve how the plan changed, which alternatives were rejected, when, and on what evidence. Subscribe Run the runner-up Autonomous labs show what happens when decisions and outcomes are connected in a loop. Liverpool’s mobile robotic chemist ran 688 experiments over eight days in a ten-variable formulation space. A batched Bayesian search used each result to choose the next experiments and found photocatalyst mixtures six times more active than the starting formulations. Every completed experiment changed what the system did next. The robot optimized within a goal and search space that humans had already chosen. It did not decide which scientific question mattered. So what this work demonstrates is narrower, but still useful: a search history pays off when the options return standardized outcomes quickly. Open-ended biology is harder because branches can take weeks and the discarded alternatives may never be run. Some exploration therefore has to be bought. Where two branches are plausible and the stakes justify the cost, a lab should sometimes run the runner-up. Otherwise the record captures what today’s scientists usually chose and stays silent on what they systematically overlooked. A funder could ring-fence a small fraction of a grant for the branch not taken, provided that the decision record and the outcome are both deposited. That costs money, but so does having every lab rediscover the same abandoned path. Test whether taste transfers When it comes time to evaluate if our new AI system exhibits taste, the comparison should run across laboratories and fields. At selected decision points in a live research campaign, we should freeze the six fields: the evidence, the candidates, expected results, confidence, costs and the choice made. Experts then rank the options before the outcomes are known, and those outcomes are checked independently later. We could give models one of two diets - papers alone, or papers plus decision histories - and ask them to rank the next experiment on unfamiliar projects. Then, we score information gained per dollar and week, calibration, and how quickly weak branches are abandoned. If histories improve choices only inside the lab that produced them, they amount to useful organizational memory. If they improve choices on unfamiliar problems elsewhere, Alasdair’s group will have captured something science has never managed to write down: a transferable record of taste. Until that happens, a scientific search history is a promising record, not yet a training set.
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