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VIDEO: Tommy Lloyd says don't let politics 'impact these kids' seeking five-for-five eligibility
During a small-group interview at Big 12 media days, UA coach Tommy Lloyd explained why he believed the NCAA should issue a blanket waiver for athletes who graduated high school
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.
Former Las Vegas Councilwoman denies misusing donations during judicial discipline hearing
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Scientists discover a surprising twist in Japan's 7,300-year-old volcanic apocalypse
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Caleb Williams Injury Update: Bears QB’s Week 6 Status Revealed
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The science, instinct and hard work behind Roosters’ success
Enter your email address to get each Tribune edition sent to your inbox Subscribe There’s a fair bit of unseen work that goes into winning an NRL premiership, dating back many months - just ask Simon Jones. The Sydney Roosters Head of Performance, who hails from Southland, has been in the thick of it. He played a lead role in guiding the 2026 champions through a marathon campaign that ended with a grand final win over the Newcastle Knights. The Roosters had to navigate the lengthy round-robin competition, including the pre-season, before playing through all four weeks of the finals series. It was a demanding stretch that tested the players and the staff responsible for keeping them on the field. “It is a hell of a beast, mate, to be honest,” Jones told The Roar Podcast. “There’s such a great group of staff there that know what they’re doing, and the boys are pretty professional.” Jones believed the Roosters managed the physical demands well, pointing to the health of the squad throughout the campaign and the decision to rest a significant portion of the playing group in the final round of the regular season. That call, made by head coach Trent Robinson and his coaching staff, proved valuable as the Roosters entered the finals with some energy in reserve. “We did finish the season physically where we needed to be, and we’d sort of had a pretty healthy squad all year,” Jones said. “To the team that do that, mate, mission accomplished, really.” It is the sort of work that often goes unnoticed when the spotlight falls on the players scoring tries and making match-winning plays, but Jones knows the cumulative effect of those decisions can be significant over a long season. After a win over Penrith had helped establish them as premiership favourites, losses to the Wests Tigers and Dolphins were followed by a defeat to the Panthers in the opening week of the finals. Rather than panic, the club refocused to position itself to challenge for the title. “The Tigers’ performance was probably the only one where you’re really quite disappointed because it’s hard to get to the top of the competition,” Jones told The Roar Podcast. “We had proof that we could; we knew what we needed to do. We just had to get back to that.” For Jones, the answer was not necessarily a radical change to the programme. It was about executing the basics consistently, both on the field and in preparation. “We just do the basics better than anybody else,” he said. “Whether that is actually the way you play the game or how you’re preparing, it’s just be really consistent, do the basics really, really well.” Like many professional sports teams, the Roosters are entrenched in sports science and performance data. The club has access to a range of information, including players’ sleep, GPS metrics and neuromuscular scores, helping staff assess how individuals are coping with training and competition. “We are very science-backed, and some people would say data-driven, but it’s people first,” he said. “The reason you collect all this data is to try and be the best for that person.” Jones said the club was also prepared to reconsider testing methods if they were not generating useful discussions or helping staff make better decisions. In an environment where technology is continually evolving, he believes experience and gut instinct remain important. “The data is no good unless you have conversations,” he said. “When you strip it right back, mate, trust the gut still and obviously, you know, just doing the basics really, really well.” The return of halfback Sam Walker provided a further example of the importance of individual determination and the work of the club’s medical team. Walker underwent ankle surgery late in the regular season, with his premiership campaign appearing in doubt. However, he was determined to return for the preliminary final. Jones said Walker was back at the training ground three days after surgery, walking freely enough to surprise those around him. While the surgeon’s work was crucial, Jones credited the halfback’s mindset as a major factor in the remarkable turnaround. “He was quite clear with Robbo after he got the surgery that he was going to make it back for the prelim finals,” Jones said. The Roosters’ performance programme also sits within a wider club culture that Jones believes is central to their success. Each season, players develop their own team mantra through a lengthy process facilitated by Robinson. It provides principles that the squad can connect to its actions on the field. Rather than simply carrying over the previous year’s wording after a successful campaign, the club repeats the process because the players’ ownership of it is what gives it meaning. “When it’s led, player-owned and player-led, mate, it’s really powerful,” Jones said. Get more from Logan Savory in the Substack app Available for iOS and Android Get the app Jones joined the Roosters in 2024 and said the environment had evolved as experienced players departed and younger members of the squad took on greater responsibility. Maintaining continuity in the club’s culture and preparation had helped the group navigate those changes. The premiership was a significant achievement for Jones, who acknowledged how difficult it was to win the NRL’s ultimate prize. However, he is already looking at how the performance programme can improve. “There’s still things within my role and things that I’d like to help improve at the club,” he said. For Jones and his team, the challenge now is to review the season, refine their systems and prepare for another campaign. The celebrations may have followed a memorable title win, but the work behind the scenes never really stops. The Southland Tribune is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
Ancient Greeks Turned Friendship Into a Science
The Ancient Greeks believed friendship was far more serious than a few hours of chatting and banter with your best friends.
Bowen Byram Sabres-to-Blackhawks Contract Questioned After Aho Embarrassment
Bowen Byram still has a long career ahead of him with the Chicago Blackhawks. He can still turn into the high-end defenseman they believed they were getting when they sent a big package to the Buffalo Sabres for him and then signed him to an expensive contract extension. But the early returns have been less […] The post Bowen Byram Sabres-to-Blackhawks Contract Questioned After Aho Embarrassment appeared first on HEAVY.
'Tip Toe' is one of 2026's most talked-about TV shows. Russell T Davies 'would love to be wrong' about it.
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Good science requires much more than evidence
Empiricists believe that scientific theories are true only if they make correct empirical predictions: if we can't verify these predictions, then there is no reason to expect that they tell us anything about reality. However, Professor of Philosophy at King's College David Kyle Johnson argues that this is mistaken. In response to Bas van Fraassen, who has written on this subject for the IAI, he argues that we have many reasons for believing a theory to be true, such as it being parsimonious and having large scope — qualities which have been used throughout the history of science as criteria for judging theories. In 2024, Princeton philosopher Bas van Fraassen wrote a short article for IAI News entitled “Science Does not Describe Reality: The Limits and Benefits of Explanation.” At the time, I was working on two projects (a science book and a Great Course) that, when completed, would (among other things) defend science’s ability to describe reality. I wanted to write a response to van Fraassen, but the projects demanded too much of my attention. But now that those projects are complete, I am in a position to explain the objections to van Fraassen’s thesis. Summarizing van Fraassen’s argumentIn a nutshell, his argument is this: What scientists do is make predictions based on theories and then invite others to test to see whether those predictions are borne out. “If theory T is right, result R should happen in experimental condition C.” Many think that running an experiment that shows that R happens in condition C is proof that theory T is true (and should be believed). But, van Fraassen argues, that R happened in condition C is only a reason to think that R happens in condition C. That’s the only observable, or empirical, result we can actually see, so that is all that we are really justified in believing. (The underlying theory that made that prediction still may or may not be true.) That is why he calls those who accept his position “empiricists.”Before I explain what is wrong with this position, let me explain what it gets right. What van Fraassen Gets RightFirst, a theory correctly predicting the results of an experiment is not, strictly speaking, “proof” that the theory is correct. The basic line of reasoning is this:If the theory T is true, result R should happen. Result R did happen. Thus, theory T is true.In other words:“If T then R. R. Thus, T.”This is a deductively invalid, fallacious mode of reasoning, called “affirming the consequent.” Those premises do not guarantee that the conclusion follows. “If I am in Pennsylvania, then I am in the USA. I am in the USA. Thus, I am in Pennsylvania.” Clearly that argument doesn’t guarantee its conclusion; neither does the above argument.However, science is not a deductive method of reasoning; it is an inductive one. And inductive arguments merely try to raise the probability of their conclusion, not “prove” them for certain. Thus, the fact that an experimental result doesn’t prove a theory is true is irrelevant; it’s not supposed to. That is not what scientific reasoning is about.___If the hypothesis that something exists clearly provides the best explanation for what we can observe, then the belief that it exists is what is rational.___Second, it’s also true that a single experimental result doesn’t provide enough justification to believe that a theory is true. Scientists do not come to a consensus about whether a theory is true by looking at a single experiment; they look at all the evidence to determine where the preponderance of evidence points. The mere fact that I am in the USA raises the probability that I am in Pennsylvania, but not nearly enough to conclude that I am in Pennsylvania. However, if I am also regularly encountering people wearing Eagles and Phillies hats and seeing advertisements for Founding Father tours, I probably am. In the same way, a theory successfully predicting the outcome of one experiment is not enough to conclude that it is true; but if a theory makes a wide variety of predictions that are all vindicated by multiple experiments, performed by many different groups and people, all actively trying to prove the theory false (which is what good scientific experiments are designed to do)—that is a good reason to conclude that the theory is true. In other words, if you repeatedly try to prove something false but can’t, that is a very good indication that it isn’t. The problem of underdeterminationIn reply, those whom van Fraassen calls “empiricists” often point to the “problem of underdetermination.” For any given theory that makes successful predictions about what happens in experimental conditions, there are countless other possible theories that make exactly the same predictions—and since they do, the experimental evidence in question is just as much reason to accept any of those theories as it is to accept our original one. Thus, the argument goes, we have no way of knowing whether our original theory is true, or one of the other “predictively equivalent” theories is true. SUGGESTED VIEWING How Occam's Razor changed the world With Johnjoe McFadden As an example of underdetermination, philosophers often offer this example. The evidence of fossils seems to provide reason to conclude that the universe is quite old; ancient fossils are what the “ancient universe” hypothesis predicts. But it’s also possible that God created an ancient-looking universe 200 years ago, complete with a “fake” fossil record for us to find, to make it look old. The existence of fossils is what that theory predicts too. So, the argument goes, the fossil record can’t be used as evidence that the universe is ancient; the fossil record supports the “200-year-old ancient-looking universe” theory just as much. The problem of underdetermination points out that, for any theory with supporting evidence, we could invent another completely different theory that predicts exactly the same evidence, and thus undermine that evidence’s ability to support the original theory.But this “argument from underdetermination” betrays a fundamental misunderstanding of what scientific reasoning is and how it works. To explain, let me use another rather strange (but very real and commonly discussed) philosophical thought experiment called “The Grue Problem.” The “Grue” ProblemSuppose I want to know what color emeralds are, so I observe a few, see that they all appear green, and form the theory that “all emeralds are green.” I thus predict that the next 100 emeralds I find will also appear to be green. And let’s say that happens, and so I thus conclude that my theory that all emeralds are green is true. Now, one might rightly point out that I don’t know for sure that all emeralds are green—I have not seen them all. Maybe some I haven’t found yet are blue. Fair enough. After all, we used to think that all swans were white, until we found some black ones. But let’s say that I go on a quest and collect every emerald in the universe—and, for the sake of the argument, let’s say I can do this, and can even know that I have every one of them. So, I collect them all, look at them all, and verify that they all appear green. Can’t I now rightly conclude that all emeralds are green?Inspired by the problem of underdetermination, a friend might argue that I cannot.Sure, they all appear green now—but there could be another kind of color called “grue.” Something is grue if it is green up to a certain point in time, but then spontaneously turns blue. And there could be an infinite number of “shades” of grue. Something that is one shade of grue will turn blue at noon today, but something that is another shade of grue will turn blue at noon tomorrow, etc. So yes, the emeralds appear green now; and since they haven’t turned blue yet, they are not some “past” shade of grue. But they might be some “future” shade of grue (e.g., they may turn blue at noon tomorrow). And since all future shades of grue are consistent with “being green up to this point in time,” the evidence you have is completely consistent with the notion that all emeralds are some future shade of grue, rather than green. Indeed, that they would appear green until now is what the “some future shade of grue” hypothesis predicts. So, we have just as much reason to conclude that all emeralds are some shade of grue as we do to conclude that they are green.You’re probably thinking “It’s not equally possible that the emeralds are grue; they are obviously green.” You are right! But explaining why your instinctive reaction to my friend’s argument is correct will help inform why van Fraassen’s “empiricist” is wrong and science actually does describe reality.The main mistake my friend makes is in thinking that the “empirical evidence” (of all the emeralds appearing green) is (or even should be) all I am using to draw the conclusion that all emeralds are green. It is not. I am also considering known facts about how colors typically work; things don’t usually change color, and when they do, they don’t do so suddenly, without cause, and all at once. So, even though the simple evidence of the emeralds all appearing green up to this point is consistent with them being some future shade of grue—that is even what the grue hypothesis “predicts”—it is still exceedingly unlikely that they are. The hypothesis that they are green is much more likely. Understanding science refutes the problem of underdetermination The misunderstanding about science that the “empiricist” pointing to “the problem of underdetermination” makes is similar to the one that my friend made. Science is not just about considering experimental evidence; in fact, it’s not even just about considering empirical evidence. As Ernan McMullin and many other philosophers of science have pointed out, the inference that makes science is “inference to the best explanation” (sometimes called “abduction” or “retroduction” by McMullin). While, depending on the circumstances, scientists use many different kinds of reasoning, science as a whole is, simply put, the process of considering multiple competing explanations and comparing them to certain criteria—explanatory criteria (the kinds of things explanations must be and do, by definition, to be a good explanation)—to see which explanation is the best.And these criteria do not deal only with empirical results. Yes, successful predictions raise the probability of a hypothesis, but it’s also the case that the more new assumptions a theory makes, the less likely it is to be true; every new assumption presents an opportunity for the theory to be false. (The fewer assumptions a theory makes, the simpler or “more parsimonious” it is said to be.) Likewise, the more existing evidence a theory contradicts, the less likely it is, because in order for a theory to be true, every piece of evidence it contradicts has to be somehow faulty. (The fewer established theories a new theory contradicts, the more “conservative” it is said to be.) And, obviously, the more something explains, the better explanation it is. (This is called having “scope.”) If a theory raises unanswerable questions, it’s not expanding our understanding, and thus is not wide-scoping. Scientists consider all these things when deciding which theory to accept, because the theory that adheres best to these explanatory criteria is most likely to be true.___the mere fact that a theory’s predictive success is why it “sticks around” or “becomes accepted” in the scientific community is not a reason to be skeptical about its truth.___The reason the grue hypothesis is no good is because it invents an entirely new kind of color—not just a new shade, but an entirely different category of color (a different way colors work)—and thus is not parsimonious. It raises unanswerable questions about how and why emeralds would just spontaneously change from green to blue (and thus does not have wide scope). And it contradicts what is already well established about how color works (and thus is unconservative).The theories that the problem of underdetermination points to do the same thing. Yes, the theory that God created an “ancient-looking universe” (complete with an ancient-looking fossil record) two hundred years ago is also consistent with the empirical evidence (of a fossil record) that presently exists; but that theory is monumentally unparsimonious (it requires many extra assumptions about infinite entities) and not wide-scoping (it raises unanswerable questions about why God would do such a thing). So, I can rationally conclude that it is false.Indeed, the history of science includes many examples of theories that were rejected because they lacked parsimony and/or scope, even before their falsity (and the truth of their competing theory) was confirmed by observation. As I point out in my book, geocentrism was rejected by the scientific community because it lacked parsimony, almost 200 years before the observation of parallax confirmed that the Earth moves around the sun. And the continuum theory of matter was completely rejected by 1860, because it couldn’t explain chemical reactions or organize matter into a periodic table, even though the experiments that eventually confirmed atomic theory weren’t even proposed until the 1870s. Solving the best of a bad lot problemIn response, the “empiricists” are likely to object, this time pointing to the “best of a bad lot” problem. “We have no reason to conclude that an explanation that has been shown to be better than others is true because we have no guarantee that the true theory was among those that we were considering.” If you have a “lot” (a collection) of poor explanations, even the best one is not true.The responses to this problem, however, are numerous. Peter Lipton argues that the set of hypotheses that scientists consider are not just randomly selected and thus unlikely to contain a theory that is true; they use existing knowledge to home in on what is most likely to be true. A doctor trying to explain abdominal pain is not going to bother wondering whether demons are causing it; they are going to stick with things like appendicitis and kidney stones, because they are most likely. Further, despite its name, inference to the best explanation is not just the process of comparing hypotheses and accepting the best one; we also want one that is a good explanation in its own right. If it’s not, we are going to keep looking until we find an explanation that is. And while that process does not guarantee that we will come across the exact truth, it’s very likely that the theory that emerges as the best will be at least approximately true, and thus we will be justified in believing it. And lastly, as I point out in my book, although many theories not based in scientific evidence (like geocentrism and continuum theory) have been completely overturned, science almost always progresses by the refinement of scientifically established theories—not their replacement. (Although our sun is not the center of the universe, heliocentrism was our first step in understanding the Earth’s true place in the universe.) So even if a theory we accept today may not be completely right, accepting it is a step on the journey toward the complete truth. The example of atomic theoryNow, it’s worth pointing out that most empiricists are not skeptical of all scientific theories; they are only skeptical of the ones that hypothesize the existence of “unobservables.” It’s not like they think that round Earth, heliocentrism, and germ theory are just useful (but untrue) “instruments” for making predictions about how to most efficiently navigate the seas, predict planetary motion, and treat diseases. They admit that the Earth actually is round, that the planets revolve around the sun, and that germs exist and cause disease. These facts and entities can be observed; the theories that suggest they exist are true. It’s only when theories start hypothesizing the existence of unobservables—like electrons, or quantum fields—that can’t be observed directly, that we should start doubting the theories’ truth. And to be fair to van Fraassen, in this published work, he doesn’t really say that we should doubt the truth of such theories. Only that scientific reasoning does not rationally force us to accept them as true. Skepticism, or agnosticism, he argues, is warranted. SUGGESTED READING Science is based in metaphor By Andrew Reynolds But the history of atomic theory throws a monkey wrench into that argument. Atoms used to be unobservable; again, scientists first accepted the theory that they exist because it had such grandiose explanatory power. But then atoms were seen with electron microscopes. They thus moved into the category of the observable. But this didn’t substantially change anything about what scientists were justified in believing; it certainly didn’t change any “atomic skeptics’” minds. It just confirmed what everyone already knew! If the hypothesis that something exists clearly provides the best explanation for what we can observe, then the belief that it exists is what is rational. The fact that the thing itself is not technically observable does not make doubting its existence rational.What’s more, the atoms were seen with an electron microscope. But electrons are themselves unobservable. How can an electron microscope reveal an atom if electrons are not real? This leads us to what is famously known as Hilary Putnam’s “miracle argument.” It’s (not) a miraclePhilosopher Hilary Putnam’s miracle argument is somewhat famous. Basically, he argued that a scientific theory being able to repeatedly make successful predictions—even about unobservables—without being at least approximately true would require a “miracle.” In other words, it would be such an improbable occurrence that it could not rationally be believed—the better explanation for why scientific theories about unobservables make the right predictions is because the unobservable entities and structures they hypothesize exist.Van Fraassen has addressed this argument. Indeed, in his original article, where he references Alison Gopnik’s point about orgasms not being “necessary for procreation” even though the desire for orgasm “drives the creation of progeny,” he is pointing to his own argument about how organisms are not naturally selected by evolution to get true beliefs; to the extent that belief-forming processes are selected for, the ones that are selected are the ones that are useful for survival—not the ones that produce true beliefs. In the same way, van Fraassen argues, scientific theories are accepted, not because they are true, but because they aren’t falsified; they make successful predictions; that’s what makes them “stick around.” So, the fact that they make successful predictions (and thus became accepted) is not a reason to think they are true.This argument is similar to C. S. Lewis’s “argument from reason,” which he used to argue against evolution: “The truth of evolution undercuts our ability to know that it is true.” Lewis’ argument famously failed; Elizabeth Anscombe, by Lewis’s own admission, demolished Lewis in a debate on the topic, and I have explained elsewhere why modified versions of the argument fail as well. In short, it’s because it fails to recognize that a belief-forming process can make an organism more likely to survive because it reliably produces true beliefs. It is therefore not the case that beliefs generated by naturally selected belief-forming processes are automatically false or unjustified.In the same way, the reason a theory “sticks around” could be because it’s not falsified, because it “makes correct predictions.” But the reason it makes correct predictions is most likely because it is true. (In pointing this out, I am echoing the arguments of Musgrave, Lipton, Psillos, and Kitcher, who refuted van Fraassen’s argument and analogy long before his 2024 article.) It would be a huge coincidence that it could do so without being true. And that is the point of Putnam’s miracle argument. Thus, contrary to van Fraassen’s suggestion, the mere fact that a theory’s predictive success is why it “sticks around” or “becomes accepted” in the scientific community is not a reason to be skeptical about its truth. ConclusionLet me close by saying something about the fact that empiricists don’t doubt the truth of all scientific theories, just the ones that hypothesize unobservables. In today’s society, this theory is dangerous to espouse publicly. The nuance between being skeptical about all of science, and just the highly technical theories about unobservables, is guaranteed to be lost to the average reader. And there is so much unjustified skepticism and doubt about the findings of science and experts that a headline like “Science Does Not Describe Reality” could easily fuel the anti-science movement, worsen climate change denial and cause the next pandemic.This is why I believe it was important to still respond to van Fraassen’s article, a full two years after he wrote it. Not only, as I have argued, does it represent a philosophically inaccurate view of how scientific reasoning works and what scientific reasoning can do, but it is a dangerous view to boot. It should thus be rejected.
Apple Stores Receive 'Do Not Open' Boxes Ahead of Smart Home Products Launch
Apple Stores around the world are preparing to install new product presentations starting on Thursday, October 8. Apple retail stores received confidential boxes earlier this week featuring "Do Not Open Until October 8" stickers on them. They are believed to contain new visual merchandise, which enables workers to update labels, graphics, and product layouts in stores around the release of new products.
Massive raid on Atlanta area massage businesses leads to six arrests
Police say the investigation also resulted in the seizure of more than $400,000 in cash and eight vehicles believed to be connected to the alleged criminal enterprise.
Bobby Kotick’s lawyers sent me a bad email (and later apologized)
The message I had received was unsettling—for a moment. Then it was just really confusing. Back on January 20 of this year, at 5:15pm ET, I received an email with the subject line “Legal Correspondence re Bobby Kotick.” It was from the law firm Clare Locke, a firm I’d heard had been emailing reporters in recent years about their coverage of Kotick, the former, longtime CEO of Activision Blizzard. The letter was threatening. A lawyer from the firm introduced themselves as “defamation counsel to Bobby Kotick.” They issued a “demand” that I “correct” a Game File article I’d published a week prior. The article that had irked them had been a scoop of sorts. I’d written about a a 2022 lawsuit brought by a Swedish pension fund, AP7, over Microsoft’s purchase of Activision Blizzard. The suit wasn’t news, but I was first to review and report about Kotick’s extensive pushback to the fund’s claims. The pension fund’s core contention was that the sale had been rushed by Kotick to avoid the consequences of sexual misconduct scandals swirling around the company in 2021. (He’d not been accused of misconduct himself in those suits, to be clear.) As I wrote at the time, Kotick had denied the allegations of the rushed sale. Beyond that, Kotick used a December 2025 reply to the Swedish fund’s lawsuit to assign blame for those workplace scandals, the bad press and even for the AP7 lawsuit. I’d found Kotick’s arguments novel and newsworthy. Across nearly 3,000 words, I explained Kotick’s take: that a Swedish gaming company was behind the Swedish fund’s lawsuit (the Embracer group; they denied it); that the Microsoft-Activision deal was not rushed and was secured at what Kotick felt history had proven to be an optimal price for shareholders; that he believed a conspiracy of people at unions government agencies, PR firms and the media had spun up claims of widespread workplace misconduct at Activision Blizzard in 2021. The article gave context for all of this, letting readers assess the claims and weigh their credibility. As I’d later write to Kotick’s lawyers: I would be surprised if you could point to any news article about Bobby Kotick in the last five years that has spent more of its wordcount articulating his point of view. He is welcome to do an interview with Game File any time. Nonetheless, there they were in my inbox that Tuesday evening: Clare Locke, the law firm that secured a $787.5 million settlement from Fox News over false statements about voting machines. They were emailing me, threatening that failure to comply with their demand could support a claim of “actual malice,” a legal standard for libel. Unless… Unless, they said, I added a key paragraph to my article. This was a paragraph that I already knew Kotick’s lawyers had been emailing reporters about for at least a year, and it was a paragraph that was already in my article. The paragraph they wanted is from a 2023 settlement that California’s Civil Rights Department struck with Activision Blizzard. The settlement had closed a two-year-old lawsuit over alleged sexual discrimination at the game maker. The paragraph basically said that claims of systemic or widespread sexual harassment—or of execs like Kotick tolerating such behavior—had never been proven. I’d already seen proof that Kotick’s lawyers had pushed for the settlement’s language to be added to reports about 2021 sexual discrimination and misconduct lawsuits brought against Activision Blizzard by California and, separately, by the U.S. federal government (both suits were since settled). I knew that Kotick and his lawyers felt that the California settlement language should be mentioned in the same breath as references to an article he hated and denied, a November 2021 Wall Street Journal article claiming Kotick knew “for years” of sexual misconduct at Activision Blizzard. So, in the Game File article that Clare Locke emailed me about, in the interest of ensuring I was being fair and balanced regarding the person I was covering, I had already included the following excerpt from the California settlement [emphasis added in bold]: (Kotick has repeatedly pushed back against that November article in the Wall Street Journal, citing among other things, language from a court-approved consent decree as part of Activision’s 2023 $54 million settlement over the California suit. It states: “no court or any independent investigation has substantiated any allegations that: there has been systemic or widespread sexual harassment at Activision Blizzard [or] that Activision Blizzard senior executives ignored, condoned, or tolerated a culture of systemic harassment, retaliation, or discrimination.”) On the evening of January 20, I was incredulous. How do you write a four page legal threat about a week-old article and miss this? While scrambling to also make my kids dinner, I wrote a lengthy reply to Clare Locke’s lawyers, basically asking them to cool it with the threats and to start making sense. In part, I wrote: I hope you can understand why I am having trouble understanding what you’re asking for, when the statement you’re demanding to see in Game File’s article already appears in Game File’s article. Actual malice, as you know, refers to a reckless disregard for the truth. I’m not sure what your argument is when my article already states your client’s position. Here is where I should remind you, the reader, that I am an independent journalist. I publish on Substack, and have availed myself of the Substack Defender program that provides writers on the platform with legal support. But I’m no Wall Street Journal or New York Times, nor even IGN or GameSpot when it comes to such things as, well, having a legal department. There are more fun things for me to do as an independent journalist than writing back to a powerful law firm representing a very rich person. On the evening of January 20th, I was just trying to cook some pasta, broccoli and chicken nuggets for hungry twins. Nevertheless, I wrote back to them. Two hours later, I got a reply. Summarizing: A lawyer for Clare Locke said they’d “reviewed an incomplete version” of my article and they “apologize for the confusion.” (My guess: Someone didn’t read past the piece’s paywall, even though they’d had a full week to scrounge up the funds to do so. What I’d published above the paywall was balanced, as was what came after.)1 That was almost that, but something about the situation bothered me. The letter had been marked “confidential.” I hadn’t agreed to that, and I disliked the idea that powerful people on the beat that I cover would act like they could unilaterally control what I might tell my readers about. On the morning of the 21st, having already gotten the powerful law firm to back off, I oh-so-wisely re-approached them with just one more thing. I thanked them for clearing things up the night before but noted that I’d never agreed to keep their letter confidential. I’m all for agreeing with a source to keep things off the record, but that’s the thing. We have to agree. You can’t just declare it. I’m not bound by that. I wrote to Clare Locke’s lawyer and said, in part: I trust the matter is resolved. It was disappointing to have to spend less time with my kids last night in order to address your legal letter. Family time’s precious. I will add, for clarity’s sake, that, while your letter stipulated that it was confidential, I did not agree to those terms. In the future, should you wish to communicate with me confidentially, I am happy to agree to classifying our communication as “off the record” prior to the actual communication—as is standard with any professional journalist. The firm’s lawyer replied, not directly addressing the confidentiality issue but asserting that the matter was resolved. Why I didn’t write about this until now In May, I told this story on an episode of Simon Parkin’s podcast My Perfect Console, but I held off on sharing it directly with Game File readers. I held off to avoid stepping on the toes of another reporter, the journalist Mikhail Klimentov. He’d interviewed me in the spring of 2025 about an investigation he was working on regarding Bobby Kotick lawyers pressing the media to add the California settlement language to stories referencing the 2021 lawsuits. And about how some outlets had changed their stories and how some simply deleted them. Initially, I was a third-party source for Klimentov’s reporting, providing on-the-record context about the state of the games media. I’d heard about the letters but hadn’t put the time into pursuing the story. I thought it was interesting, and I was glad he was covering it. When the outlet that Klimentov was going to run his reporting in dropped the story, I began talking to him about potentially publishing his reporting on Game File. This was tentative. Then, in January, when I got my own Clare Locke letter, I told Klimentov that I didn’t think it would make sense for me to publish him, not with me now being part of the story. I had my own version of this situation to tell. But I wished him well and said I’d refrain from telling my tale until he could get his reporting out there. Last Friday, Klimentov finally ran his investigation, in a nearly 48-minute video report for People Make Games. It covers various Clare Locke letters, how media outlets reacted to them and what to make of all this. His video weighs the merits of Kotick’s request and looks at some of the articles that were changed (one of which had a glaring error). I highly recommend watching it: (Note, I did some editorial consulting for a People Make Games video last year but nothing to do with this report.) While many outlets haven’t left any public evidence that they updated their Kotick coverage at Kotick’s counsel’s request, at least one has. Back in October 2025, the mainstream outlet Reuters applied the most transparent article update I’ve seen. On the 3rd of the month, they published an article about the state of the Swedish pension fund’s lawsuit. Days later, they added this: In an October 7 letter sent after publication of this article, Kotick’s defamation counsel disputed claims of widespread harassment at Activision. “Not a single investigation, court finding, verdict, or ruling ever concluded that there was any merit” to the allegations of widespread harassment at Activision, Tom Clare and Nick Brechbill of Clare Locke wrote. I’ve never added a statement to my article on Game File, because none was needed. Not for fairness’ sake, nor to meet any demands of Kotick’s lawyers. I’ve nevertheless wanted to be transparent with Game File readers. If someone powerful is questioning my reporting, is threatening a lawsuit over it… if that threat is part of a pattern involving other games media outlets and if, in my case, the whole thing ran into a ridiculous ditch, I want you to know about it. I also share this as a real example of how I handle threats to Game File. I stand up for my own reporting, even when it’s not comfortable to do so. (In that same category of standing up for the work I do, I’ll point to an incident in late August. Asocial media post I published to X/Twitter regarding reporting I did about Take Two and GTA VI was hit by bogus copyright claim by a firm working for the publisher. I pushed back and got it reversed; even while a bigger games media outlet let themselves be censored. This is the other reason I’m sharing this story: To emphasize that dealing with threats from powerful people is one of the costs of covering the video game industry independently and as fearlessly as possible. This is where you come in. Your support, through free and paid subscriptions (sign up here!), can help me keep doing that. It can ensure that I’ve got the back-up I need. And it can help make fiascoes like this even less of a worry, so I can spend my evenings dealing with more important things, such as making sure I steam the kids’ broccoli just right. 1 That pension fund lawsuit I wrote about in January has all but gone away. In May, the fund and Activision Blizzard owner Microsoft agreed to settle. Lawyers for the fund brokered a $250 million settlement for former Activision Blizzard shareholders. In the settlement, the fund’s lawyers changed their rhetoric. Where once they’d questioned the meaning of the California settlement language, they adopted a version of it for themselves. Several weeks ago, while seeking to get a court to sign off on the terms of the settlement, they proposed their fee for their work in the case: $60 million.
I started fact-checking Trump 10 years ago. Here are 15 things I’ve learned
Ten years ago this month, in my old job as Washington correspondent for the Toronto Star, I started what I believed would be a quick little side project: fact-checking underdog presidential candidate Donald Trump, who was telling a remarkable number of lies but was rarely being corrected. Like a lot of people, I thought Trump would lose the 2016 election.
Colorado recalls marijuana vape company's products sold at more than 400 stores
Colorado public health and marijuana regulation authorities issued on Friday a recall of marijuana vape devices believed to be contaminated with a volatile industrial solvent.
Lucas County health officials track measles exposure after Amtrak passenger diagnosed
Those exposed were classified into two categories: passive monitoring, for people believed to have some type of immunity, or active monitoring.
First in entrepreneurial excellence: FSU celebrates local businesses at inaugural Impact Awards Gala
The Entrepreneurial Impact Awards Gala provided a formal night out for Fayetteville’s business community. The event took place at the Rudolph Jones Student Center on Thursday, Sept. 10. Photo by GFBJ. Fayetteville State University (FSU) and the Fayetteville-Cumberland Regional Entrepreneur and Business HUB (FSU HUB) came together to celebrate Fayetteville’s business community. The two organizations rolled out the blue carpet at the Rudolph Jones Student Center for their inaugural Entrepreneurial Impact Awards Gala held on Thursday, Sept. 10.The gala honored outstanding entrepreneurs and business leaders who demonstrate excellence, foster growth and inspire the next generation of innovators within the FSU and broader business community.FSU HUB Director Dr. Tamara Colvin was able to highlight that this new milestone was a great way to show local success stories, not just tell.“That one-stop shop that’s across the street, we never promised that everyone would be successful, but what we did promise was access. Four years ago, we opened up an entire ecosystem: counseling, capital, contracts, connections, certifications,” shared Colvin. “I want to thank the judges who took up hard work for choosing tonight’s honorees. That’s never an easy task when the whole region is full of people worth recognizing at the HUB. We practice what we preach: Res Non Verba: Deeds, not words.” A few of the inaugural recipients of the awards shared their statements with the Greater Fayetteville Business Journal.STUDENT ENTREPRENEUR Boolean Wiring LLC, Esean Rose, owner “I am truly honored and grateful to receive the Student Entrepreneur of the Year Award. I want to thank Fayetteville State University, the judges and everyone who has supported me throughout this journey. This award represents more than recognition for where Boolean Wiring is today. To me, it represents the potential of where we are going. I am excited about growing the company, creating jobs, serving our community and building something that can have an impact far beyond Fayetteville.”VETERAN-OWNED BUSINESS SpeediPrint Inc., Dazrell Fleming, owner “I’m honored to accept the Veteran-Owned Business Award on behalf of the entire SpeediPrint team. A special thank you to Dr. Tamara Colvin for creating this opportunity through the Entrepreneurial Impact Awards, and to my mentor, Mr. Julius Cook, whose guidance during the Boots to Business program truly paid off. This recognition reflects the hard work of my staff and the trust our customers place in us every day — I’m grateful to serve this community and excited for what’s ahead.”MULTI-GENERATIONAL EXCELLENCE BJL Construction, Cleopatrice Robinson, president“This award is especially meaningful because we are more than a business — we are the continuation of a family legacy built through faith, hard work, craftsmanship, integrity and service. I gratefully acknowledge my grandfather, Deacon Benjamin “BJ” Lacy, Jr., whose example helped establish the foundation upon which our family’s entrepreneurial legacy was built. I also honor my father, the late Dr. Wilson Lacy, former president of BJL Construction. Working alongside him was both an opportunity and an education. He taught me that a business’s reputation had to be earned on every project through honesty, excellence, quality and service. As the current president, I recognize that I did not arrive at this moment alone. I stand on the shoulders of those who came before me, and I am sustained by those who continue to walk beside me.”MICRO BUSINESS Maybridge Development, LLC, Latisha Perkins, owner “I accept this award with so much pride and a whole lot of gratitude. First and foremost, I want to thank my higher power for continuing to guide me and give me the strength to keep going.When I first started this business and moved here to Fayetteville, I had no clue what I was getting myself into. This business has turned me every which way but loose, and I definitely had some moments where I was ready to just pack it up and head back to Georgia. I want to thank my Maybridge team, my village, The Hub, the FCEDC team and all the people and organizations here in Fayetteville who have believed in me and Maybridge and helped us get here.”COMMUNITY IMPACT Greater Life of Fayetteville, Georgeanna Pinckney, CEO & executive director “We are deeply honored to be recognized by FSU and the FSU HUB with the Community Impact Award presented to Greater Life of Fayetteville. I am especially grateful for this recognition because it tells us that you see what we do – and, more importantly, why we do what we do. Our commitment is to serve, empower and create meaningful opportunities for youth and families in our community. Most importantly, we give God first and foremost all the glory. We thank Him for giving us the wisdom, strength, vision and unity to continue doing this great work in our community.” SMALL BUSINESS OF THE YEAR Crowder Trucking LLC, Carlos & Valerie Morrison Crowder, owners “I want to thank God for always keeping his hands on Crowder Trucking. I’m truly honored and grateful to receive the Small Business Award from the FSU HUB. Running a small business is not always easy. There are long days, difficult decisions, unexpected challenges and plenty of moments when you have to remind yourself why you started. But there are also incredible moments like this one that remind you that the hard work is worth it,” shared Valerie Morrison Crowder.OTHER WINNERS INCLUDE: Alumni Entrepreneur - The Two-Six Project, Grant Bennett, founder and president Fayetteville State University Faculty Award - Dr. Christy Swinson Emerging Business Award - Genuine Luxury Beauty Salon Legacy Award - Gillis Farms Inc. Industry Titan of the Year - Eaton Corporation Entrepreneur of the Year- Let Me Cater to You, Chef Judith Cage, owner
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Australia Says Rogue OpenAI Agent Hacked Health Service Website
Australia said an OpenAI agent hacked a data portal for its public health insurance system, in what’s thought to be the first known instance of an AI agent infiltrating a government website. Australian prime minister Anthony Albanese said the agent had accessed public and non-public information relating to health care spending, but personal information is not believed to have been part of the breach. Albanese, speaking on Wednesday at a media briefing in New York where he is attending the United Nations General Assembly, said that the incident took place in June. OpenAI learned of the hack in August, but only emailed a general inbox of an Australian government agency on September 10, and it wasn’t until this week that OpenAI and the Australian government spoke directly about the issue. “It took the company way too long to inform the government what had occurred,” Albanese said, “and the nature of the way that that notification occurred as well was unacceptable.”
Unionized hospital doctors reach deal with Allina Health after historic 4-day strike
The union representing about 150 Allina hospital doctors announced on Wednesday a tentative agreement on a first labor contract covering wages and benefits. The agreement follows a four-day strike last week, believed to be the first by private-sector hospital doctors in U.S. history. It came after three years and more than 66 contentious negotiation sessions […]
Could quitting ultra-processed food boost mental health?
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Vera Rubin Observatory detects one of the smallest and faintest satellite galaxies ever seen — before the telescope's mission even began
Astronomers looking at Vera C. Rubin Observatory test data have discovered 'Aquarius IV', believed to be a brand new satellite galaxy of the Milky Way located 350,000 light-years away.
Jaxson Dart likely out with sprained MCL
New York Giants QB Jaxson Dart (knee) is believed to have a sprained medial collateral ligament in his knee.
Decorah Area Chamber announces 2026 business award recipients
The Decorah Area Chamber recently announced its business award recipients for 2026. A total of 10 businesses and eight individuals will be recognized this year as part of the chamber’s annual event. “The Decorah Area Chamber has always believed in the importance of recognizing hardworking business owners,” said the chamber’s executive director Jessica Rilling. “This event celebrates
Jaxson Dart is believed to have a sprained MCL
Do Coventry City 'have enough to stay up' this season?
Coventry City fan Conna Chahal believed his club "might struggle in this league" after their 5-0 defeat by Brighton on 13 September, but Saturday's hard fought 1-0 win over Nottingham Forest has changed his thinking. It had been 9,287 days since the Sky Blues last tasted victory in the Premier League, so the result had been a long time coming for the club's loyal supporters. "Do not underestimate how big that three points is for Coventry City," said Chahal, who provides analysis and reaction videos as part of BBC Sport's Fan Collective.
D-backs anthem trumpeter makes AMAZING recovery after horn malfunction
PHOENIX -- During their run to the World Series championship in 2001, the Diamondbacks believed trumpeter Dr. Jesse McGuire was regarded by the organization as a good-luck charm when he performed the national anthem. McGuire performed the anthem numerous times during that postseason, including before Game 7. And every five
The Big Holes in Wearable Heart Rate Variability And Readiness Scores
On September 9th, Apple announced it was revamping its Apple Watch Health Sensing System, rolling out a Readiness score (0 to 10), and increasing the frequency of heart rate variability (HRV) outputs 24-fold. This can be viewed as upping its competition with various other consumer wearable sensors. These “readiness scores” as a composite of multiple metrics, with heart rate variability (HRV) being front and center for most. The majority of Americans are now using wearable sensors, which equates to well over 100 million adults. HRV and Readiness scores are increasingly being marketed as a measurement of autonomic nervous system health, a digital marker for future disease, a clock for biological age, and a holistic metric to promote healthspan and even longevity. (Apple also introduced a new longevity tab and “Health Age”.) None of this has been proven. In this edition of Ground Truths I am going to review what we know about heart rate variability and readiness scores. Heart Rate Variability HRV is the variation in normal heart cycle timing. The variability of the heart rate, the barely perceptible millisecond changes in time between consecutive heart beats (see R-R intervals in the Figure below, left panel), is due to interplay between the sympathetic and parasympathetic (vagal nerve) inputs. Distinct from heart rate, individuals with the same heart rate can have very different HRVs. It is a rough reflection of the autonomic nervous system (ANS) activity, inadequate to say whether a person’s ANS function is abnormal. For more than three decades, heart rate variability (HRV) has been measured and several studies have found an association of low HRV and clinical outcomes, particularly a link with higher all-cause and cardiovascular mortality. There have also been less well established links of low HRV to risk of early cognitive impairment, dementia, mental illness, Type 2 diabetes and substance abuse. An important reminder is that HRV is a surrogate marker without any established cause-and-effect relationship. If you increase your HRV, that doesn’t mean it will improve health outcomes. In fact, there is no hard evidence for that. All that work linking to health outcomes was done with electrocardiogram (ECG) derived HRV. Now, in the era of consumer wearables, this is getting assessed differently, by optical pulse (yes, the lights you see) plethysmography (PPG) or what is called pulse rate variability (PRV). They are not the same, as shown below (right panel) and only concordant when the delay between the ECG and pulse is kept constant, which basically means at rest. I should mention there’s also what I will call MPV, a mattress mechanical movement sensor, a derived heart rate variability, that companies like Eight Sleep use, even further away from directly measuring HRV. HRV has not one uniform measurement but many different types of quantification, such as RMSSD, the magnitude of difference between successive R-R intervals of normal sinus beats (N-N) or SDNN, the standard deviation of NN intervals, both in milliseconds. SDNN is one of the so-called frequency domain HRVs (others are LF, HF, LF/HF). Different wearable sensors use different metics; Apple has relied on SDNN and nearly all of the others use RMSSD, which is generally considered the more accurate metric. There’s also the different length of time measured, such as for a matter of minutes, all day, or an overnight’s sleep. Short measurements are especially problematic since they don’t capture enough of respiratory modulation and other factors that influence HRV. Share Ground Truths How well does HRV correlate with PRV? There are very limited studies, especially independently done. One that is commonly cited was conducted by Air Force researchers in only 13 healthy adults assessing Oura ring 3 and 4, Whoop 4.0, and Garmin Fenix 6 and showed a correlation coefficient of 0.88 to 0.97 and a mean absolute percentage error from 6 to 10%. The correlation is not a perfect 1.0, but there’s at least a fairly high level of correlation. HRV is supposed to increase during the night due to takeover of the parasympathetic nervous system, and higher during deep sleep. A recent example of my 1 week, all day “HRV,” and one during sleep is shown below. As you can see, the N of 1 data are inconsistent for the same days from different sensors (Oura, AppleWatch, Fitbit Air, and Eight Sleep) by patterns, absolute numbers, and comparison with prior days and weeks. The largest study in over 8 million Fitbit users (the old version, not Google Fitbit Air, introduced in May 2026) gives you a sense of the effect of age, sex, and the 2 different main HRV (here PRV) metrics, with RMSSD on the left and SDRR (=SDNN) on the right below. That study, from data collected in 2018, is a major outlier, since all the more recent ones are tiny with respect to sample size. Many of the companies have not had independent evaluation of their HRV, such as Eight Sleep, but have published a low standard error on their website. There are some other published studies on the correlation between HRV and PRV, but they are all small and only in healthy adults. A scoping review emphasized the lack of study in underrepresented individuals, including the aged, people of color (which affects the PPG signal), and individuals who are underweight or obese. Add the typical adult age 60 plus with one or more chronic diseases. For example, one study in over 900 adults found poor correlation of HRV and PRV, non-uniformly underestimated across many chronic diseases (cardiovascular, endocrine, neurological, respiratory, and others), concluding PRV is “an invalid surrogate for HRV.” A recent systematic review of 43 studies comparing HRV and PRV found reasonable pooled absolute standardized error (HRV as gold standard) but only 10 of the studies provided quantitative synthesis in ideal conditions. Their main conclusion was similarly cautious: “PPG-derived HRV [PRV] should not be regarded as universally interchangeable with ECG-derived HRV across all devices, populations, and recording contexts.” Factors Affecting HRV and PRV That gets me to the long list of factors that affect HRV (and PRV) besides the device, the type of measurement (RMSSD, SDNN or others), the person’s signal, the sensor site, the duration of data capture, if weighting by sleep stage is used, how artifact is processed and corrected. And this list is not complete!: Oura puts out data from their community of users (who input data) on what affects their overnight HRV. The factors currently provided are: no alcohol (increase 8%), melatonin (increase 2%, float tank (increase 2%), wine (decrease 4%), and party (decrease 14%) in overnight HRV. Must be some big parties! Subscribe What is a PRV measurement good for? It has been falsely characterized as an index of “autonomic balance” and a specific indicator of stress. A 2018 review of the studies available for HRV and its relationship to stress, not using any of the current wearables, found that stress can lower HRV. But so can many other factors. The non-specificity of the signal, indexed to the table above, is striking. Evidence from a UK Biobank study of over 46,000 participants with actual HRV looked at genetically predicted HRV, a genetic risk score, that failed to show the expected HRV-mortality link, indicating that _HRV is likely not causa_l, but rather a reflection of person’s physiologic state. A review of consumer wearable HRV data from 5 longitudinal studies showed that nighttime PRV was not associated with perceived stress, and surprisingly higher HRV, in the largest cohort (N=717 participants), was correlated with higher stress. An Oura ring cohort of 525 first-year college students found a link between overnight PRV and perceived stress, but that was also seen with resting heart rate, sleep, and respiratory rate. Several very small studies have examined the relationship of HRV and athletic injuries or guiding training with mixed, and predominantly negative results. HRV biofeedback training with paced breathing had no significant effect on reducing stress or raising HRV, as demonstrated with sham controlled trials. When HRV for multiple days showed a decline in conjunction with body temperature, the Oura ring published data for prediction of Covid. The WHOOP company sponsored an observational study, published in 2026, of 30,000 users for 72 weeks, without a control group, that reported reduced alcohol intake (5.8 % points) by self-report. That doesn’t tell us much, and particularly about the merits of HRV for behavioral change. If you use the same device and conditions as longitudinal trends for multiple (at least 2-3) weeks that may be the one way to get something useful from the measurements. Data for overnight sleep with minimal motion and using RMSSD is the best proxy for real HRV. The reason to look at trends rather than any given night is that it more likely represents something, even though you won’t know with certainty what the “it” is. Keep in mind there are no data, no peer-reviewed evidence, to show that HRV fluctuation in-person has any correlation with health outcomes. Share Readiness Scores These are proprietary scores that integrate different metrics for each of the wearables: no algorithms have been disclosed. They are unvalidated against health outcomes. In a review of 14 composite health scores of readiness and recovery, HRV contributed 86% to the scores, followed by reading heart rate (79%), physical activity and sleep duration (both at 71%). That review noted the substantial variability in measurement protools and lack of standardization. Sleep staging is notoriously inconsistent and inaccurate by these sensors, which adds further to the HRV uncertainties for what the scores, which use sleep stage data, mean. Only resting heart rate has been shown consistently across devices to be extremely accurate. I’ve made a Table to summarize what we know about which metrics are included, the scores, any peer-reviewed studies that compared the readiness score with health outcomes, and the corresponding (if any, NA-not available) citation. You will note that some companies do not use the term “readiness," such as WHOOP for recovery, and Garmin, which has 2 different scores, one of which is Body Battery. Eight Sleep uses the term “Fitness Score.” They all include HRV; Apple includes a new metric they call “Recovery HRV” which among other components uses 7-days of sleep, but it is unclear what this means or how it is differentiated from other scores (there are clearly no data for outcomes). We have no knowledge of how the different components are weighted or whether any of these scores are better than resting heart rate, HRV alone, physical activity, or any other single metric. Since none of these are standardized, they are not interchangeable, so if you get a 90 for Oura that has no relationship to a 90 on a Google Fitbit Air. Notably, the company can update its algorithm for readiness score at any point without notification to device users. Without any useful evidence of actionability for these scores or established relationship with health outcomes, it is hard to make a case for their value. At the Apple recent announcement they showed their Readiness score (0-10) on the watch (Figure below) but there are no published data on this score, not even on their website. It’s available only on their new Watch Series 12 or Ultra 4 [of course, ;-)]. That exemplifies the problems with these scores, lack of data and evidence for being meaningful to promote health. Perhaps the best study (which isn’t saying much) is the WHOOP Recovery for golfer performance, because it did correlate with an objective outcome, even though there was no control group and the authors were all from the company. Among the 389 pro golfers, an absolute 10-per cent point increase in Recovery score was associated with about 0.5 fewer strokes per round. But that’s hardly a health outcome! WHOOP is also conducting a study in over 2,700 runners to see if their recovery score will be linked to less injuries and improved performance, but that is not yet published and has no control group or randomization. Putting This in Context For two decades I’ve been enthusiastic about the potential for digital health and particularly wearable biosensors. Over the years, we’ve seen some great progress for their ability to promote physical activity and accurately detect atrial fibrillation (the first FDA cleared deep learning AI for consumers). That work was the subject of rigorous research. But there are holes in the data and evidence for other metrics. One notable one is the “VO2 max” story that I wrote about earlier this year. At that time many subscribers asked me to cover heart rate variability, which I finally got to here. When I dived into the research and publication for HRV and readiness scores, I expected to find at least some that were of high quality and demonstrated their utility by linkage to health outcomes. To my surprise, I found none. The wearable sensor measurements for HRV (PRV) are, for the most part, accurate, but that validation work has only been done in small studies of healthy adults and does not take into account the long list of factors, from the device, software side, and the user side, that affect HRV measurements. Moreover, this metric chiefly relies on optical sensing and, as we have learned for heart rate PPG sensing, may be less accurate in people of color. Keep in mind that all of the health outcome association evidence comes from ECG-derived HRV; none are from wearable sensor data. I will repeat the key point: there's no peer-reviewed evidence to show that in-person HRV fluctuation—or efforts to raise your HRV— has any correlation with health outcomes. For those of you who look at your HRV on awakening, or even 2+ week trends of it being low, I hope this context helps to relieve any anxiety. Yes, low HRV (not PRV) has been shown to increase risk of some diseases as summarized above. But efforts to raise your HRV—a surrogate metric— has not been established for improving any health outcomes. HRV does not have any evidence of causality (the genetic evidence actually goes against this possibility). In this summary, I have not included data for other wearable sensors such as Polar, Samsung, Withings, Suunto, Amazfit, Coros, Ultrahuman, or additional mattress sensors. These are beyond my first-hand experience, and as far as I know from my in-depth review none have any peer-reviewed published data that differ from the 6 sensors I’ve reviewed here. From the points I’ve gone over above, we’re not ready for readiness scores. Besides being proprietary, they are predominantly based on metrics that have their own issues. It’s compounding the problem, like building a house without a solid foundation that has never undergone a rigorous inspection, and then selling it. Like I mentioned for PRV, you can look at trends over weeks rather than any single day, to get a handle, but even that may not be helpful. There’s simply no evidence that these scores meaningfully relate to health outcomes. I’d emphasize they might, but that requires doing prospective or randomized studies to prove it. None exist. There’s great promise for HRV/PRV utility_. For example**,**_ Prof Maiken Nedergaard, who discovered the brain glymphatics that are essential in eliminating metabolic waste products from the brain during sleep, has posited that HRV could be a non-invasive marker for neuromodulator oscillations, brain-body regulatory circuits, and brain clearance. That would be extremely useful, but like everything else on HRV and readiness scores it requires solid research and validation. The lay media isn’t helping much to get the story straight. Earlier this year The Economist published a piece entitled “The most useful indicator of your overall health” which ordained HRV as an “accumulated stress score.” That’s akin to the false assertion about VO2max: “V02 max is the singular most powerful marker for longevity.” As I’ve summarized here, that is not established. The fact is that so many things can lower HRV, including physical exercise (especially an intense workout), reduced sleep quality, stress, the list above, no less the device, signal, and software. Whatever fluctuations observed have not been correlated with any health outcome. Sadly, “datamaxxers” are widely using HRV and readiness scores that have never been validated to mean anything. We already know that for some people using the sensors for sleep metrics, it can induce “orthosomnia,” an obsession to get high sleep quality, with associated high levels of anxiety. In an experiment done by a company to promote sleep quality for its employees, “For those employees who did use the trackers, many reported feeling perfectly rested until their tracker told them they had had a terrible night. Others were told that they had slept like a baby when they had actually been lying awake worrying about the quality of their sleep. “ The same problem can result from preoccupation with HRV or readiness scores, with anxiety that would lead to further reduction in both. It you are using a wearable like >100 million American adults, it’s OK to look at these data, but contextualized with the major caveats reviewed here. If you are one to require evidence that HRV or readiness scores are linked to health outcomes, you may not even want to look. The companies make it hard to turn them off! Let me end with the companies that make and sell wearables. Apple’s doubling down on HRV (24-fold more reporting and heart rate very 5 seconds) and introduction of a Readiness score tells us that consumers have bought into these metrics and they are joining the club. However, all of this is occurring with a backdrop of tens millions of users, claims about the data that are not backed up by adequate evidence, marketing way out in front of whatever limited data exists, and not being transparent about their readiness score algorithms. The companies can well afford to do the research that is needed to connect these metrics with health outcomes show, once and for all, that increasing HRV or using readiness scores promotes our health. If they believed and invested in the products they are selling, we’d not be in this position of not knowing. That’s essentially where we are with HRV and readiness scores. Perhaps someday this will change and we’ll have good reason to embrace them. NB: I wrote this post. No AI. I have no conflicts of interest with any of its content. Loading... Ground Truths has 215,000 subscribers from every US state and 214 countries. There are over 300,000 followers of Ground Truths so more than 90,000 folks who can easily convert to be free subscribers. Your subscription to these free essays and podcasts makes my work in putting them together worthwhile. If you’re not a subscriber, please join! If you found this interesting PLEASE share it! Share Ground Truths The proceeds from all voluntary paid subscriptions go to support our summer internship program. It enabled us to accept and support a record number of 62 summer interns that joined us in 2026! These are high school, college and medical students selected from thousands of applicants. We couldn’t do this expanded program without the funds coming in through Ground Truths. Thank you!
Opinion: What we have lost by losing trust in science
We inherited a world made dramatically safer by people who believed that knowledge could improve human lives
Opinion: What we have lost by losing trust in science
We inherited a world made dramatically safer by people who believed that knowledge could improve human lives.
Packers’ Super Bowl stock tumbles after Week 1 disaster
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Mercury shrinking much more than scientists previously thought
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New anti-gun legislation is about preventing firearm ownership, not safety
By Ava Flanell It’s been a little more than a month since the most radical anti-gun legislation went into effect in Colorado history: Senate Bill 25-003. Originally intended as an “assault weapons ban,” Colorado Democrat sponsors settled for a complicated half-measure they wrongly believed would be a more tolerable violation of Coloradans’ Second Amendment rights. […]
Arsenal close to finalising new contract for Arteta
Mikel Arteta is believed to be close to finalising a new contract with Premier League champions Arsenal.
Report: A.J. Brown believed to have a high-ankle sprain
The closest planet to our sun is shrinking. Here’s what that means
Mercury may be shrinking even more than previously believed, according to new research.
How titanosaurs hatched eggs in cooler climates
Fossil eggshells believed to be from some of the biggest dinosaurs that ever lived have been found in a surprisingly cool climate far from the equator. But those titanosaurs were too big to sit on their eggs. Microscopic evidence shows what they did instead to keep the eggs warm enough to hatch.
Chinese scientists find a hidden atomic structure that unlocks methane
Scientists found that a tiny atomic structure that forms on nickel oxide during methane conversion is more effective than the metallic nickel long believed to drive the reaction. The discovery allowed a low-nickel catalyst to rival one containing 10 times more metal, potentially opening the door to cheaper and more efficient industrial catalysts.
Geologists reveal the Americas collided millions of years earlier than thought
Volcanic rocks in Colombia are rewriting the timeline of the collision between Central and South America. Their magnetic signatures show that major tectonic deformation had already weakened by the late Miocene, suggesting the most intense collision occurred earlier than previously believed.
AZ's R&D chief Barr touts internal 'science success story' after IL-33 antibody's stellar showing in COPD
With a detailed data drop that AstraZeneca’s R&D chief described as an internal “science success story,” the British Big Pharma has secured an FDA priority review for what it believes could become a flagship biologic in chronic obstructive pulmonary disease (COPD). In detailed results from the late-stage Oberon and Titania trials—first teased in March and detailed in full at the European Respiratory Society Congress in Barcelona this week—the drugmaker laid out the extent of its IL-33 inhibitor’s potential to reduce moderate and severe exacerbations in a wide range of COPD patients still struggling with those “lung attacks,” as AstraZeneca’s Sharon Barr, Ph.D., called them, despite using standard-care inhaled therapy. In the headline results, a 300 mg dose of tozorakimab given once every four weeks curbed those moderate and severe exacerbations in the studies’ primary population of former smokers by 29% in the Oberon study and 34% in Titania. In the overall population of both current and former smokers, these reductions were 30% and 29%, respectively, versus placebo and inhaled standard of care. The benefits also extended to clinically meaningful exacerbation reductions in all prespecified patient subgroups and specifically turned up promising signals in patients across a range of blood eosinophil counts, with Barr telling Fierce that “it’s the details that make this even more exciting than the high-level results that we’ve already shared.” In fact, during AZ’s tozorakimab poster presentation at the ERS 2026 Congress this past weekend, attendees were so enamored by the data that event organizers had to encourage people to clear the room and look at the other presentations on offer, Barr said in an interview. “I think it really speaks to the fact that there is a lot of buzz around these data because the entire respiratory community has been so desperate for new therapies for these patients,” she explained. The respiratory disease continues to represent a “staggering unmet medical need,” Barr said, highlighting the COPD exacerbations that the Oberon and Titania studies homed in on, which she added carry a greater mortality risk than a heart attack. “When a patient has a severe exacerbation, only about half of them are still alive within three and a half years,” she pointed out. As for tozorakimab specifically, Barr christened the molecule “an AstraZeneca science success story,” harkening several years back to the point at which researchers began to explore IL-33 as a driver of respiratory disease, and COPD in particular. At the same time, “there was still so much that wasn’t understood,” she admitted, highlighting the insight that IL-33 signals through both ST2 and EGFR through the RAGE pathway, a discovery Barr attributed to AstraZeneca's own scientists. Understanding the need to tackle both pathways in COPD—and aware of competitor candidates in the hopper, including one that bound ST2—the company ultimately had to make some “courageous decisions,” Barr said. These included taking a prior COPD molecule offline and going back to the drawing board to reinvent its potential IL-33 label “to make sure that we had a molecule that could block signaling through both arms of the pathway, through both the reduced form and the oxidized form, knowing that we wouldn’t be first, but striving to be best.” “When we put [tozorakimab] into the clinic, we firmly believed that we had a differentiated molecule, and we saw the other molecules blocking just ST2 or partially blocking IL-33, unable to deliver two positive pivotal studies in COPD,” Barr explained. “We kept marching forward because we believed our molecule was differentiated, and now I think we have the clinical validation that supports that.” Ultimately, AstraZeneca finds itself on much better footing these days when it comes to potential biologic rivals to tozorakimab in COPD. Sanofi and Regeneron’s Dupixent, for instance, is approved to treat COPD exacerbations in patients with high eosinophil counts, but not low ones. Meanwhile, the future has become cloudier for other next-gen IL-33 candidates from Sanofi and Regeneron, as well as Roche, which have suffered trial flops in recent years. One other potential ingredient for AstraZeneca’s success in its duo of studies was that the company was “ambitious in the trial design, willing to look at an all-comers population,” Barr said, “and willing to enroll the most severe patients.” Prior studies for would-be biologics rivals in COPD “avoided enrolling” those patients, she pointed out. She also highlighted the Big Pharma’s painstaking design of exacerbations in its trial, which “gave us a very rigorous readout,” and pointed to “the extra effort and investment” the company put in to understand the effect of mucus plugs in patients. Barr described mucus production as a “key feature in disease diversity,” noting that mucus plugs—obstructing clumps of mucus that block patients’ airways—are associated with worse outcomes in COPD. In its data announcement, AstraZeneca noted that an integrated analysis of Oberon and Titania found tozorakimab “demonstrated a reduction in patients’ mucus plug score,” with the pharma claiming its biologic is the first to deliver such results in a broad COPD population. “So being able to reduce those mucus plugs, we expect, is an important part of driving benefit for patients who are living with COPD,” Barr said. Again touching on the breadth of the study populations, Barr added that tozorakimab “worked across all eosinophil levels in both current and former smokers across all levels of lung function,” which she suggested “really simplifies decision-making for clinicians, and it allows them to offer therapy to the broadest possible patient population.” In the highest patient eosinophil count group, tozorakimab helped chart a 43% reduction in exacerbation risk, which Barr stressed were “unprecedented data.” In the mid-level group, AZ’s drug delivered a 23% reduction and, in the lowest group, a 34% reduction in eosinophils, which Barr said suggests efficacy “in all patient subgroups.” As for AZ’s recent guidance upgrade on the medicine’s sales opportunity, the lift from a $3 billion to $5 billion range to $5 billion plus was informed by multiple factors, Barr said, including the fact that “in 2024, there were multiple competitors, and there aren’t anymore.” Additionally, “we know that this is a massive unmet medical need, and this is a really incredible set of data that we think will be very convincing to the clinical community,” Barr said. Looking ahead to a potential evolution of the COPD treatment landscape, Barr noted that most patients start treatment in the community with an option like a triple therapy, and for them, having an option like AstraZeneca’s inhaler Breztri will remain a “really important part” of that journey. But of the patients uncontrolled on triple therapy, which Barr described as “about half of them today,” just a “small fraction” are currently eligible for biologic therapy, which she emphasized AstraZeneca is working to change. Understanding that COPD is not a “one-size-fits-all” disease, AstraZeneca is also looking at its antibody drug Tezspire for patients with T2-driven disease, and the company continues to think about new mechanisms for tackling COPD through both systemic and inhaled drugs, Barr said.
Ancient Roman fresco and mosaic featuring maritime city unveiled at newly restored Baths of Trajan
Authorities in Rome have unveiled what is believed to be the largest fresco and mosaic complex of ancient Rome.
Ancient Roman fresco and mosaic featuring maritime city unveiled at newly restored Baths of Trajan
Authorities in Rome have unveiled what is believed to be the largest fresco and mosaic complex of ancient Rome | 1010 WINS
Ancient Roman fresco and mosaic featuring maritime city unveiled at newly restored Baths of Trajan
Authorities in Rome have unveiled what is believed to be the largest fresco and mosaic complex of ancient Rome.
Prof Elizabeth Streicher unravels the science behind drug-resistant TB
Prof Elizabeth Streicher of the Division of Molecular Biology and Human Genetics delivered her inaugural lecture on Tuesday 1 September 2026. Her research focuses on the transmission and spread of Tuberculosis (TB). Knowing where TB transmission is happening can help to stop it from spreading. Prof Elizabeth Streicher of the Division of Molecular Biology and Human Genetics in the Faculty of Medicine and Health Sciences delivered her inaugural lecture on Tuesday 1 September 2026. The title of her lecture was Decoding tuberculosis: the evolution of technology, epidemiology and the Mycobacterium tuberculosis genome. Streicher explained to Corporate Communication and Marketing how molecular epidemiology (using genetic information to track how and why diseases spread through populations) has improved our understanding of where drug-resistant TB comes from, how it spreads and how drug resistance evolves within and between populations. Tell us more about your research and why you became interested in this specific field. Overall, our research group studies the genome (complete set of DNA instructions found in a cell) of Mycobacterium tuberculosis, the bacteria that cause tuberculosis (TB) disease. Various regions of the genome are interrogated to study different aspects of the disease. My main focus has been on the epidemiology of tuberculosis – how the bacteria’s genome changes over time and what this tells us about the transmission and spread of the disease. How would you describe the relevance of your work? If we understand how the bacteria that cause TB change and spread, it can assist in combating TB globally. How has molecular epidemiology helped improve our understanding of drug-resistant TB? Molecular epidemiology was very important in drug-resistant TB as it was originally believed that bacteria that become resistant to antibiotics would be less fit and not be able to transmit. But it was shown that they can transmit, and therefore have to be monitored to identify hotspots of transmission and outbreaks, etc. Can you tell us briefly about the spoligotyping technique and its advantages for studying drug-resistant TB? Spoligotyping (a molecular technique used to identify and track specific strains of TB bacteria) does not detect drug resistance, but since the technique is relatively quick to do, it can be very useful in real-time situations, e.g. to monitor outbreaks of drug resistance. Why are interrupting transmission chains and identifying genomic hotspots important for controlling the spread of TB? Knowing where TB transmission is happening can assist in allocating resources to those areas to stop future transmission and spread of TB. Higher education can be challenging. What keeps you motivated when things get tough? Students – how they are so passionate and dedicated to learning and contributing to research and society as a whole. What aspects of your work do you enjoy the most? Again, the students and colleagues! But also the fact that it is continuously changing and thereby we are learning and expanding our knowledge. In the end, I know that we contribute to a better society in our small way. Tell us something exciting about yourself that people would not expect. Even though I love hiking (day and multi-day hikes) and being outside, I really do not like camping! How do you spend your free time? I love hiking (wellbeing in nature) and like to watch most sports. ©Higher Education Media Services. Subscribe
The core anti-Pangram constituency is phony writers
Welcome to The Closing Argument, our verdict on the news, plus everything The Argument published and appeared in this week. The Verdict, by Kelsey Piper A lot of people hate AI for drowning the internet in slop and displacing human creatives. You might think that these people would be thrilled by a program that can identify and flag AI-generated work. But many people who hate AI also hate Pangram, an impressively accurate AI detector that produces very few false positives, according to high-quality independent research. This loathing found its most recent expression in a bizarre Wired article that amplifies a wide range of false arguments from Pangram skeptics: that AI detectors are racist (they’re not) or ableist (they’re not)1 or don’t work (this one does)2. Rather than starting from the premise that it would be really valuable to have a working AI detector and scrutinizing Pangram to make sure it lives up to that promise, the article starts from the premise that Pangram obviously has bad vibes and sets out to discover why. (One answer: The CEO microwaved lunch during an interview!) Why aren’t writers who resent Pangram more eager to distinguish themselves from posters who are having ChatGPT ghostwrite all their work? There are a few different things at play, but I think one key dynamic is this: These are often the same people. A core constituency for arguments like Wired’s is “writers” who are using AI to write their posts but resent this fact being made public. They stand to lose from AI detectors because AI detectors call them out. Share When Substack announced a partnership with Pangram, a sizable fraction of the platform’s authors rose up in outrage. Some people had experience with other AI detectors that didn’t work, and some felt that AI writing ought to be encouraged — both of which are fair enough. But the fury was fueled by authors passionately insisting that Pangram kept wrongly accusing them on almost every post they published. Pangram can be wrong, especially on short passages. But in the overwhelming majority of cases where Pangram looked at a whole blog post rather than a single paragraph, the program correctly detected work as AI. Even if we can’t be 100% sure in any individual case, we can notice the trend in the aggregate. Wired quotes Sam Illingworth, a professor of critical AI literacy at Edinburgh Napier University, who said, “I don’t think [AI detectors] work. … I think that detectors are prejudiced against certain people.” This spring, he said that he used AI for research and editing; this summer he acknowledged that in addition to research and editing, he also uses it “now and then for a turn of phrase I keep.” Pangram informs us that most of his posts are 100% AI-written (some are mixed AI-and-human) and that 100% AI-written posts started appearing last year. The favorable interpretation is that, as someone whose recent work Pangram consistently mistakes for AI, Illingworth sees Pangram’s flaws firsthand. The unfavorable interpretation is that the tool’s credibility trades off against his own, because its account of who writes his posts is not consistent with his. Illingworth is not alone in insisting the detector does not work. “It’s a Monday night in late July, and I’m pasting my own Substack draft into an AI detector for the first time. Not because I’m worried. Because I’m curious. I wrote every word of it myself, the way I write everything, out loud in my head first, in a rhythm that still carries the accent of a language I learned to think in before I learned to write in this one,” begins one Substack post by an author indignant that Pangram flags her writing as AI. “That’s the part I had to sit with before I could write this.” If you, like me, have worked with AIs a lot, you won’t even need Pangram there. The author of that piece is AI. It is obviously AI! I checked 10 other posts on the blog, and they were also obviously AI! “I have spent 22 years as an award-winning author and essayist. And now this bullshit tool that learned from MY writing is going to accuse me of plagiarism,” popular Substack writer Carlyn Beccia wrote in an anti-Pangram post. “For the last and final time, AI DETECTORS DO NOT WORK.” Here’s what her writing sounded like in 2020: “Most success stories revolve around one person who believed enough in you to say — give it a try. We call these people muses, but they are so much more than that. They are the strong man giants whose shoulders we stand on so we can see the horizon. Throughout the editing process, I am sure my editor felt less like a giant of greatness and more like Atlas with the world on her shoulders.” Pangram says it was 100% human-written. (So were other articles of hers in 2020.) And here’s what it sounds like now: “And then there is the reshuffling, which sounds like paperwork until you remember that empires have always loved paperwork. The Trump regime recently moved special education oversight from the Education Department to HHS. That is not a minor bureaucratic transfer. It changes the frame.”3 Pangram says this is mostly AI. I am not convinced that Pangram is wrong. In my own experience, Pangram is very effective on long texts — if it marks a long essay as AI, the essay was either written by AI or deliberately written to sound like AI. On tweet-length or paragraph-length texts, it’s not perfectly reliable. It seems to work just as well for non-native English speakers as for native speakers. While I have seen dozens of claims of pre-2022 text returning a positive result on Pangram, I have tried repeatedly to corroborate those and have never once succeeded. To be clear, I’m absolutely not saying that complaining about Pangram suggests a writer is a cheat. There are plenty of other concerns. Most are mistakenly premised, such as the false claim that Pangram trains on work you put into it, but others are reasonable: It’s unreliable on sufficiently short text segments; it creates an internet witch-hunt mentality when there are defensible uses of AI; people who are open about their AI use are sometimes blamed, when the only people really doing something wrong are the ones who hide it; and it isn’t perfect, so a single positive result shouldn’t be taken as decisive proof of misconduct. I’m happy to concede that Pangram is imperfect and possible to over-rely on. If an author’s posts are mostly non-AI and one scans as partially AI, this could be a mistake. It’s also possible to defeat Pangram with intentional effort. If you think we need something more robust and more reliable, fine! But if you don’t like AI and don’t like Pangram, your attitude really ought to be that it’s a shame that our existing tools for AI detection are imperfect, and it’s important to invent better ones. If your stance is instead that AI is evil and so is looking for AI, then ultimately you’re contributing to the sloppification of the internet. You’re making it harder for people who write their own text to distinguish themselves, and providing cover for authors who are definitely not writing their own text. Subscribe Top stories this week, by Kobe Yank-Jacobs Commentators often worry that the decline of reading could mean the decline of liberal democracy — but deliberative governance actually predated widespread literacy. This week, Maibritt Henkel pointed out that many liberal cultures thrive on a culture of raucous, interactive debate, which can happen in-person as easily, if not more so, than in text. Read on, dear reader, to learn more. It may actually cheer you up: [ ](https://www.theargumentmag.com/p/reading-wont-save-liberalism) [ Reading won’t save liberalism ](https://www.theargumentmag.com/p/reading-wont-save-liberalism) Maibritt Henkel · Sep 1 [ Read full story ](https://www.theargumentmag.com/p/reading-wont-save-liberalism) It used to be bad to downplay climate change (if we mean denying its reality). Today, it’s actually good to downplay climate change (if we mean keeping the issue out of political fights so we can make real progress). This counterintuitive view is called “climate hushing,” and contributor Alex Trembath argued that it’s the key to enacting good policy going forward. Get up to speed on the latest in climate politics: [ ](https://www.theargumentmag.com/p/we-wont-stop-climate-change-by-talking) [ We won’t stop climate change by talking about it ](https://www.theargumentmag.com/p/we-wont-stop-climate-change-by-talking) Alex Trembath · Sep 2 [ Read full story ](https://www.theargumentmag.com/p/we-wont-stop-climate-change-by-talking) Canada’s Prime Minister Mark Carney is standing up for the forces of liberalism against Donald Trump’s assault on our closest ally. So, why is one prominent left-wing commenter attacking Carney? Columnist Matthew Yglesias explains: [ ](https://www.theargumentmag.com/p/when-economic-liberty-means-central) [ When "economic liberty" means central planning ](https://www.theargumentmag.com/p/when-economic-liberty-means-central) Matthew Yglesias · Aug 31 [ Read full story ](https://www.theargumentmag.com/p/when-economic-liberty-means-central) 🌟Abundance Wins of the Week🌟 Shout out to my home state of California, whose legislature passed two housing bills this week. One requires a housing density minimum in transit-oriented areas of the state’s most transit-rich cities (Los Angeles, Sacramento, San Francisco, Oakland, San Jose, San Diego, and Long Beach). Another bill closes two common loopholes used by third parties to delay housing projects, including an opportunity to challenge maps of a given lot created by the developer after a project has been approved. Shout out to our big-state rival, Texas, where pro-housing SB 785 took effect this week. The new state law requires municipalities to have at least one district permitted for manufactured housing without a special permit. This will promote zoning changes in 44% of municipalities. The company Fervo Energy signed a deal with Google for what is set to be the world’s largest enhanced geothermal facility, proving a technology can work at a scale that could be crucial to a decarbonized, energy-abundant economy. Share Worth watching… This week, forecasting legend Nate Silver joined Jerusalem, Matt, and Jeremiah on a crowded episode of the pod. It was a party. And speaking of parties, our round table debated the factional lines within the Democratic Party: Is it possible to be center-left and also anti-establishment? Watch or listen to find out: The Rio Grande Valley in Texas is one of the areas that swung hardest toward Trump in 2024, but musician Bobby Pulido is running to flip it back. Right now, The Argument/Split Ticket’s model has him running 1.1 points behind his Republican opponent in a district Trump won by 18 points. Tune in to find out how he differs from national Democrats and what he thinks he can to do win this seat. On Thursday, Bernie Sanders was among the first politicians to call for a ban on superintelligence. My guest this week, Andrea Miotti, has been lobbying to ban superintelligence for several years, most recently in the U.K., U.S., and Canada. I asked him how he gets legislators to take speculative risks seriously, and we dug into what plans might look like to actually pass a ban. Listen to learn more: What’s News with The Argument The Argument recommends, by Kobe Yank-Jacobs If we ever lose track of Justin Zuckerman, I’ll have the team split up and check all the movie theaters in the city. I’m shocked (and a little jealous) at how often he gets out to see good cinema. This week, he brings us It Ends, a “horror-ish movie,” which he described as a “Gen Z Waiting for Godot.” I was intrigued before he added that it was “funny, dark and existential” — at which point I was fully locked in. I guess I also had existential themes on the mind this week. One morning, a single line from a poem I read long ago just came to me: “Is death a stretch of time in which a life is just a flash?” The poem is called “From 20,000 Feet” by Heather McHugh. I suggest the version in The Vintage Book of Contemporary American Poetry, which, by tradition, my best friend and I always bring backpacking, extra weight be damned. We’ll stay thematically dark for just one more rec from senior editor John Robert Thomason, whose upcoming trip to Baltimore reminded him to suggest Michael Clune’s memoir White Out (about being addicted to heroin in Baltimore in the 1990s). Ben Lerner’s blurb called it _“_Disturbing, brilliant, hilarious—it’s as if Proust had written Jesus’ Son.” John told me this “seems accurate, with the caveat that I’ve never read Proust.” I, personally, have also shelved Proust until retirement. At this point, I was a little concerned for the team since all of us tossed out such psychologically grim material — maybe we’re all down about the end of summer — but thankfully, at least a few of us were into more upbeat selections. Milan Singh recommended Made In’s 5-quart stainless clad saucier, suggesting he had some fun in the kitchen. Jeremiah Johnson asked if he could recommend yet more Carly Rae Jepsen. Once denied, he offered up Game Changer instead_,_ calling it “the most wildly creative game show, maybe in the entire history of the genre.” Eli Richman mentioned _Lucky, “_a B-tier show with an A-tier cast and an S-tier theme song.” I suppose he was recommending the song, Horns of a Bull. Still, despite these cheerier recs, I couldn’t help but be concerned that we were subconsciously worried about racing toward summer’s end — the end of swim trunks and splashing around. Then a message landed reminding me of the three-day weekend to come. A whole extra day for sunshine. One more swim in the lake. I was grateful this called to mind yet another line from a poem, one by Mary Oliver, the patron saint of every gorgeous summer day (and about whom a documentary is now out). Speaking to God in the poem “Thirst,” she wrote: grant me, in your mercy,a little more time. Love for the earthand love for you are having such a longconversation in my heart. We have merch! We have quarter-zips, keychains, hats, and stickers. Each one is a great conversation starter in its own way. Buy them here. Subscribe More to read: [ The Opening Argument ](https://www.theargumentmag.com/p/seeing-like-an-elite)[ Seeing like an elite ](https://www.theargumentmag.com/p/seeing-like-an-elite) Kobe Yank-Jacobs · Sep 4 What do Americans hear when they watch Sen. Bernie Sanders or Vice President JD Vance rail against the elite? Are they thinking of right-wing tech billionaires? Imperious college professors? Liberal magazine writers? [ Read full story ](https://www.theargumentmag.com/p/seeing-like-an-elite) [ The Weekly Scroll ](https://www.theargumentmag.com/p/god-is-back-on-the-timeline)[ God is back on the timeline ](https://www.theargumentmag.com/p/god-is-back-on-the-timeline) Jeremiah Johnson · Sep 5 This week, we’re talking about Substack’s new religious debates, the continuing MAGA influencer scandal, how to retire from YouTube, and aura battles. [ Read full story ](https://www.theargumentmag.com/p/god-is-back-on-the-timeline) 1 This was a legitimate thing to worry about, but doesn’t seem to be a problem given the actual technology: Marijke Van Vlasselaer, Filip Van Droogenbroeck, and Bram Spruyt’s 2026 paper looks at whether Pangram is less accurate when evaluating the work of non-native speakers of English. It isn’t. That’s because Pangram isn’t really looking at how “unusual” a piece of writing is but whether it has the characteristic patterns of LLMs. The Wired article makes an odd gesture at a different Pangram-is-racist argument. There were several controversies this summer during which upcoming books were canceled after being discovered to be AI-written: “The three novels mentioned earlier — Shy Girl, Daggermouth, and Call Me, easily publishing’s biggest AI-detection scandals — were all written by writers of color.” But come on! As Zvi Mowshowitz put it: “They were not primarily written by people of color. They were primarily written by AIs.” That’s the whole problem! And as my colleague Jeremiah Johnson recently observed with respect to Cambridge’s Arday scandal, a community being unwilling to call out fraud if it’s perpetuated by people of color is not an anti-racist tendency; it is ultimately quite racist. 2 Many non-Pangram detectors don’t work, but many possible airplane designs also don’t work, and no one considers this a general argument against aviation; the thing that matters is whether any detection works. 3 The phrase “empires have always loved” mysteriously became all the rage in the last few years. See here, here, here, here and here. Before 2025, the only use of that phrase I have been able to find is a single Tweet. The logic of the sentence, too, is incoherent in an AI-characteristic way. “...sounds like paperwork, until you remember that empires have always loved paperwork”? Does remembering that make it sound less like paperwork? It’s a craft-ful sentence, but what is it actually saying??
What Makes an Iron Lady Iron?
‘Thatcher…accepted political damage as the cost of policies she believed necessary for Britain’s recovery. It was these sorts of pressures that refined Thatcher and forged her into the Iron Lady we know today...The question for Japan today is whether Sanae Takaichi demonstrates similar political characteristics within the context of modern Japanese politics.’
Letter: America is bigger than political parties
I believe Donald Trump has changed American politics in ways that will be felt for years. Some of those changes may have been necessary. Many Americans felt ignored by Washington and believed Trump was willing to challenge a political establishment that had stopped listening to them.
No license, no inspection, no accountability — who is protecting women?
In early August, Massachusetts Gov. Maura Healey signed into law expansion of abortion from 24 weeks through the entire pregnancy. While many celebrated, Colorado serves as a staunch warning of the unintended consequences of unrestricted, unregulated abortion. Whether pro-life or pro-choice, Coloradans agree women deserve high-quality, safe, compassionate care. Colorado voters mistakenly believed a constitutional right to […]
NVIDIA Confirms DLSS 5 for GeForce RTX 40-Series is Coming
NVIDIA has officially confirmed that the company is working to bring DLSS 5 neural rendering to the previous-generation GeForce RTX 40-Series "Ada Lovelace." Previously, it was believed that DLSS 5 technology would be exclusive to the latest GeForce RTX 50-Series "Blackwell" and future models,...
Republican state party leaders grumble about the midterm convention
Event organizers said they believed that doing a post-Labor Day convention will be the best way to reach people who don’t always pay attention to politics.
Farm features Charlie Kirk in corn maze. Here’s how the business responded to criticism
Goebel Farms said it chose to honor Kirk because he believed that disagreement should lead to conversation, not violence.
Farm features Charlie Kirk in corn maze. Here’s how the business responded to criticism
Goebel Farms said it chose to honor Kirk because he believed that disagreement should lead to conversation, not violence.
Farm features Charlie Kirk in corn maze. Here’s how the business responded to criticism
Goebel Farms said it chose to honor Kirk because he believed that disagreement should lead to conversation, not violence.
Northeast Georgia Health System marks 75 years of growth and service
Seventy-five years ago, Northeast Georgia Health System began with a 90-bed hospital that some skeptics believed would never fill its beds.
What happened to the cast of 'Superman'? Inside the lives of Christopher Reeve and his costars
'Superman' was the first big-budget superhero smash. Here’s what its impressive cast went on to do after audiences believed a man could fly.
DLSS 5 Gets Modded Into Skyrim With Dramatic Changes to Lighting and Character Faces
NVIDIA announced DLSS 5 back in March to a decidedly mixed reaction, as many gamers did not particularly like the modifications it made to character faces. While it is not officially out yet, an early-access build of NBA 2K27 was found to contain a DLSS Neural Rendering DLL, believed to be a...
Explosion at Sand Springs business complex damages at least 25 businesses
A massive explosion at the Morrow-Gill business complex in Sand Springs killed one person and left another in critical condition early Thursday morning. The blast, which happened around 1 a.m. near South Lincoln Avenue, damaged at least 25 businesses and is believed to have originated at a marijuana extraction facility.
Greenland research institutions halt new US collaborations citing mistrust
Although US President Donald Trump still harbours ambitions to take over Greenland, for US researchers his actions seem to have had the opposite effect. Over the summer, Greenland’s two largest research institutions, the Greenland Institute of Natural Resources and the University of Greenland, both announced policies of not starting new research projects with US researchers.Both institutions cite a mistrust of the US as a motivation for the decision. At the University of Greenland, the change of policy has already led to the rejection of specific proposals for new collaborations, rector Mari Kleist told Science|Business. “The reason is the changed political situation between the US and Kalaallit Nunaat [Greenland], and the uncertainty that the American interest in Kalaallit Nunaat has created,” she said.For the Greenland Institute of Natural Resources, a partially state-funded environmental research institution, the decision was also prompted by a lack of trust in US intentions. In a July interview with local broadcaster KNR, director Josephine Nymand cited concerns about data ownership, US “influence operatives” and social media monitoring of researchers entering the US.The Greenland Institute of Natural Resources has long collaborated with the US National Science Foundation (NSF). The policy change will not affect these existing partnerships but will apply to collaborations with new, “unknown” partners, Nymand said. At the University of Greenland, the policy is the same.The changes come amid proposals of severe cuts to the NSF, which would likely also see the US research presence in Greenland reduced. In spite of this, when asked about the Greenlandic policy change, the NSF remained optimistic of its continued presence in Greenland.“We are grateful to our partners in Greenland for their collaboration in advancing scientific knowledge and training the next generation of researchers. NSF remains committed to the long-term collaborations with Greenland that enable scientific research near communities and on Greenland’s ice sheet,” an NSF spokesperson told Science|Business.Fewer US researchers in GreenlandMost research published on Greenland is on natural science topics such as the cryosphere, ice dynamics, permafrost and climate change. In recent years, US researchers have been the most prolific publishers on Greenland.The US research presence in Greenland goes far beyond the capital of Nuuk, where the two research institutions are located. It includes the Pituffik Space Base in northwest Greenland, various projects in settlements and research stations along the coast, as well as research stations on the Greenland ice sheet itself.The largest of these sites, Summit Station, is located at the highest point of the Greenland ice sheet, about 3,200 metres above sea level, and since the 1980s it has been used for drilling cores out of the ice sheet. These ice cores provide valuable information on the global climate going back at least 100,000 years. About 30 kilometres from Summit Station, the Danish-led Greenland Ice-core Project (Grip), funded by the European Research Council, is also drilling ice cores. Although they initially competed, the relationship between the two research teams has “long been amiable,” Jørgen Peder Steffensen, a Danish researcher who has been part of Grip for more than 40 years, told Science|Business.However, since Trump took office in early 2025, Steffensen has noticed a reduction in US research in the country. “Several of our American partners did not make it into the field this year. Their field seasons were cancelled because they lacked the budget,” he said.He ascribed part of the reduction in US researchers to a renovation of Summit Station. “A very large share of NSF funding has gone into renewing the station. Money has been taken from research and allocated to rebuilding it,” he said.A report published in August by Arctic Hub confirms Steffensen's observations of fewer US researchers. It shows that US research publications on Greenland took a dip towards the end of the period spanning 2015 to 2024. In 2024, before Trump took office, the number of publications had fallen from an average of about 250 articles a year, to just 164, second behind Canada at 169.Data from the NSF logistics provider Battelle also shows a reduction in US research presence in Greenland in recent years. In 2023, Battelle counted 48 projects across 78 locations, but in 2025 that number had fallen to 40 projects across 38 locations. And while relations with US personnel in Greenland have remained strong, some tensions have arisen since Trump took office. “On a personal level, there is nothing. But it’s hanging in the air. It hangs unspoken,” Steffensen said.Cutting ties with US researchers entirely would come at a higher cost for the ice core researchers than the Nuuk-based institutions. To get cargo to and from their bases, both Grip and Summit Station rely on unique, ski-equipped Hercules LC-130 aircraft operated by the New York Air National Guard. Without these, maintaining a research base on the Greenland ice sheet would not be viable on current budgets, Steffensen said. “[If the Hercules planes were not available], we would have to think outside of the box. We would have to use smaller planes, and we would have to build a base closer to the coast. But staying in our current location would be too expensive and it would create a huge carbon footprint,” he said.Suspicious people in NuukIn her explanation of the severed US ties, Greenland Institute of Natural Resources director Josephine Nymand compared the decision to past situations when the institute had to cut ties with China and Russia, the latter due to Russia’s full-scale invasion of Ukraine in 2022. And although the current situation is less severe, the comparison reflects the seriousness with which Nuuk sees the US threats. “From Greenland’s perspective, the US may not look so different from Russia right now: a much larger neighbouring power threatening to invade,” Lin Alexandra Mortensgaard, a researcher of international politics in the Arctic at the Danish Institute for International Studies, told Science|Business. “From a European perspective, it is not a comparable situation, because we are entangled with the US on all possible fronts and do not want to destroy more than is absolutely necessary. But from Greenland’s side, there may well be a need to send a clear signal to the US,” she went on. Suspicions have been fuelled by instances of Trump-affiliated people in Greenland trying to persuade Greenlandic citizens to support a US takeover. The most prolific among them is Tom Dans, a former venture capitalist and pecan farmer who was appointed by Trump as the chair of the United States Arctic Research Commission. Observers fear that he is now using research to achieve a US takeover.“Greenland is a small society with a small population, so when Americans with unclear affiliations wander around, trying to be good friends with people, and you don't know what they want, that creates mistrust. This probably played into the research institutions taking these drastic steps,” Mortensgaard said.Related articles:The US ‘golden age’ science strategy: what Europeans need to knowEU polar research melts into the backgroundAnchor Greenlanders in Arctic climate research, experts tell EU ahead of policy updateAnd although Greenland’s population is small at just 57,000, for Mortensgaard, it serves as a microcosm for the geopolitical situation as a whole: global powers fighting for their interests to the detriment of the common interest. Arctic research already suffered when collaborations with Russia broke down in 2022, she said, so a split with the US would be a serious hit to climate science.“The Arctic climate system does not respect borders or geopolitical divides. When collaboration across those lines suddenly becomes impossible, it is a huge problem for knowledge production,” she said. European alternatives?The Greenland Institute of Natural Resources is funded partly by research grants from external sources like the NSF. To replace the US funding, the institute will have to look for alternative revenue sources, and Nymand said that she is looking to Europe for those. Aside from Denmark, of which Greenland is formally a part, she also noted increased interest in research collaborations from the UK, France and Switzerland. Kleist of the University of Greenland told Science|Business that it was too early to say if the severed US ties would lead to more collaborations with Europe. Meanwhile, Mortensgaard believed that the tensions in Arctic research could well leave room for closer European partnerships, or stronger links with Canada. “I spoke to Canadian researchers who had long-standing relationships with American colleagues and who collaborated with the US Navy, but who had gotten worried that their data on sea ice could be used if Trump suddenly decided to follow through on his threats of invading,” she said. “Like Canada, I think Greenland is considering creating closer ties to Europe and I think European capitals will be open to this,” she said.
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