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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.

Oct 20 • 1:47 PM EDT • Technology • bigtechnology.com

Warhammer Tone Pro: The 1-5 system

Five tones, infinite possibilities – dive into the new paints.

Oct 19 • 8:00 PM EDT • Technology • warhammer-community.com

This era’s public health threat is digital (Opinion)

We addressed car safety through design standards, such as airbags. Policymakers could treat infinite scroll, autoplay, streaks, algorithmic recommendations as design choices potentially subject to similar public policies.

Oct 12 • 6:00 PM EDT • Health • denverpost.com

Saturday Pre-orders – Warhammer Tone Pro is here

Enjoy infinite painting possibilities with the new range of miniatures paints.

Oct 9 • 8:00 PM EDT • Technology • warhammer-community.com

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.

Oct 1 • 8:00 AM EDT • Science • iai.tv

Infinite New Game+, Photo Mode on the Way to Control Resonant, No Word on Proper PS5 DLC

Updates in October and November

Sep 25 • 11:15 AM EDT • Technology • pushsquare.com

F1 confirms new Hot Wheels "Infinite Rush" car collection for 2027 release

Formula 1 will bring all 22 cars from the 2026 grid to the Hot Wheels 'Infinite Rush' video game in March 2027

Sep 21 • 5:32 PM EDT • Technology • motorsport.com

Trump claims 'infinite' Greenland security deal with Denmark

US President Donald Trump said Friday that he had struck a deal with Denmark to give Washington "permanent control" over Greenland's security that would bar Russia and China from setting...

Sep 18 • 6:24 PM EDT • Politics • afp.com

You Can Pull Off One of MTG's Classic Infinite Combos in Reality Fracture Limited

We've got a #SplinterTwinSituation. And no, this is not a false alarm. You can win with actual factual Splinter Twin combo in Reality Fracture Limited.

Sep 15 • 2:50 PM EDT • Technology • draftsim.com

Closing health workforce gaps for emergency response: the Western Pacific steps up

Over 100 health emergency experts from 56 institutions across 21 countries in the World Health Organization (WHO) Western Pacific Region who are part of the Global Outbreak Alert and Response Network (GOARN) concluded their annual regional partners’ meeting with a commitment to bridge gaps in emergency workforce capacities and advance regional emergency readiness and resilience.Co-hosted by WHO and the Korea Disease Control and Prevention Agency in the Republic of Korea, the two-day event aimed to strengthen the Region’s collective ability to detect, prepare for and respond to health emergencies.Partners mapped capacities and priority technical gaps across the Region — including cybersecurity and critical infrastructure resilience; water, sanitation and hygiene (WASH) and environmental health; biological emergencies, nuclear emergencies, and nuclear and radiological security.The result: a renewed commitment to close these gaps by working together through shared expertise and coordinated action. Advancing the Global Health Emergency CorpsReflective of regional solidarity and partnerships in action, GOARN – which is coordinated globally by WHO - enables a stronger, better-connected emergency health workforce that is ready to surge wherever and whenever requested by WHO Member States.This year alone, GOARN partners across the Western Pacific have supported nine experts on six missions - from measles outbreaks in Viet Nam to HIV outbreak response in Fiji - providing surge support in epidemiology, surveillance and clinical case management.Photo: Participants at the Global Alert and Response Network (GOARN) Partners Meeting 2026. Credit: KDCA/Shin Dong Myoung“GOARN partners across the Western Pacific and globally have repeatedly demonstrated the power of what we can do collectively, when we join forces, share expertise and build on each other’s strengths,” noted Dr Gina Samaan, WHO Regional Emergency Director for the Western Pacific, in her opening remarks at the gathering. “Let us continue to forge long-term partnerships grounded in mutual respect that will protect the Region for generations to come. We are smarter, faster and infinitely stronger when we work together,” she added.Reiterating Dr Samaan's call, Dr Seung-kwan Lim, Commissioner of the Korea Disease Control and Prevention Agency, emphasized the value of GOARN: “The Republic of Korea is pleased to stand alongside our regional partners in building an emergency workforce that is ready and resilient. GOARN turns national expertise into regional readiness - catalysing national strengths into collective resilience.”GOARN advances the Global Health Security Action Framework (GHEC) initiative by “convening, connecting and capacitating” regional leaders and surge workforce – “the three Cs”. Years of GOARN leadership and outbreak response training programmes have cultivated a deep bench of fit-for-purpose, seasoned outbreak response experts and forged an alumni network of emergency leaders worldwide. The Western Pacific network alone has now grown to 94 partner institutions across 19 countries. Photo: Participants at the Global Alert and Response Network (GOARN) Partners Meeting 2026. Credit: KDCA/Shin Dong Myoung Putting partnerships into practiceDuring the Regional Partners’ Meeting, health experts identified and catalogued the technical expertise currently available across the Western Pacific Region, so that the right skills could be better matched quickly to needs wherever emergencies occur.Three priority areas emerged for further strengthening:Cybersecurity and critical infrastructure resilience - protecting essential systems, including healthcare networks, from digital disruptions.Water, sanitation and hygiene (WASH) and environmental health - reflecting the ongoing nexus between climate change and health.Biological emergencies, nuclear emergencies, and nuclear and radiological security - requiring specialized technical capability that remains limited across many national response systems.Meeting participants reaffirmed their commitment to strengthening workforce capacities in the Region, with a particular focus on these three areas, and to working collectively to better prepare the Western Pacific for the next health emergency.Photo: Dr Gina Samaan, WHO Regional Emergency Director for the Western Pacific, delivers opening remarks at the Global Alert and Response Network (GOARN) Partners Meeting 2026. Credit: KDCA/Shin Dong Myoung“GOARN is truly turning preparedness into action - giving our Region the surge capacity it needs for fast, coordinated response when it matters most - and building more resilient health systems along the way,” said Dr Samaan. “As health emergencies mount in this age of permacrisis, emergency preparedness and response must be woven into the fabric of health. This is not an option, but an imperative as we seek to achieve health for all.”____ About GOARNThe Global Outbreak Alert and Response Network (GOARN), coordinated by the World Health Organization since 2000, strengthens global health security by advancing preparedness for and response to public health emergencies. The network brings together more than 390 institutions, including national public health agencies, technical organizations and nongovernmental partners, to support coordinated international action during outbreaks and other health emergencies. There are 94 GOARN partners in the Western Pacific Region (as of August 2026), accounting for approximately 25% of global partners. For more information and media interviews, please contact: WHO Western Pacific Communications: wprocom@who.intAra Johannes: johannesa@who.int

Sep 9 • 8:00 PM EDT • Health • who.int

SteelSeries Brings Its Outstanding Infinite Battery System to Controllers With the Aeon Pro for Xbox and PC, But Is It Worth the Sky-High Price Tag?

The SteelSeries Aeon Pro packs in just about every "pro" feature you could ask for in a controller, with Hall-effect thumbsticks, tactile switch buttons, adjustable triggers, and the company's outstanding hot-swappable battery system.

Sep 8 • 7:18 PM EDT • Technology • ign.com

Review: SteelSeries Aeon Pro: The Infinite Battery Life, Dual-System Xbox and PC Controller Impresses, Despite Its High Price

Borrowing the best ideas from the firm's Arctis Nova Pro headset lineup.

Sep 8 • 11:30 AM EDT • Technology • digitalfoundry.net

‘Star Trek’ and NASA have intertwined legacies – the show championed diversity and inspired generations of real space scientists

60 years of ‘Star Trek’: A cultural anthropologist on how the show’s “infinite diversity in infinite combinations” conception helped shape NASA’s vision of the future.

Sep 8 • 8:40 AM EDT • Science • theconversation.com

Bryce Underwood is Michigan's QB "right now," but his job security isn't "infinite"

Sep 7 • 4:09 PM EDT • Sports • sports.yahoo.com

Kyle Whittingham: Starting jobs, including Bryce Underwood's, aren't 'infinite'

Michigan coach Kyle Whittingham isn't ready to hit the panic button on QB Bryce Underwood, but he did point out starting jobs aren't just a given.

Sep 7 • 11:40 AM EDT • Sports • sports.yahoo.com

Roundup: Here's What The Reviews Are Saying About Hot Wheels: Infinite Rush

Launching this Thursday on Xbox Series X and Xbox Series S

Sep 7 • 10:30 AM EDT • Technology • purexbox.com

Kyle Whittingham Puts Bryce Underwood on Notice After Abysmal Performance

Kyle Whittingham delivered his strongest public message yet about Bryce Underwood, saying the Michigan quarterback’s developmental runway is “not infinite” entering a major matchup with Oklahoma.

Sep 7 • 10:27 AM EDT • Sports • sports.yahoo.com

Church donates $1.2 million to UNICEF for maternal and newborn health in Pakistan

‘Each mother and child has great worth and infinite potential,’ says Relief Society general president

Sep 6 • 6:00 PM EDT • Health • thechurchnews.com

Next Week on XBOX: New Games for September 7 to 11

Next Week on XBOX: EA SPORTS NHL 27, Mewgenics, HOT WHEELS Infinite Rush, The Royal Writ, and more coming soon!

Sep 4 • 10:00 AM EDT • Technology • news.xbox.com

The Witcher 3 Remastered Accessibility Options Include Health Regen, Auto Loot, Infinite Item Durability

And more

Aug 30 • 2:15 PM EDT • Technology • pushsquare.com

This strange “spacetime crystal” can suddenly become a black hole

Physicists have mathematically captured a bizarre “spacetime crystal” that can either dissolve or collapse into a microscopic black hole after only a tiny change in energy. Their breakthrough came from an unusual trick involving infinitely many dimensions, potentially giving researchers a new tool for studying primordial and microscopic black holes.

Aug 30 • 8:00 AM EDT • Science • sciencedaily.com

Lenovo launches flagship tablet with 2.5K 165 Hz OLED, Snapdragon 8 Elite Gen 5 and 24 GB RAM

Lenovo has launched the Legion Y700 Infinite in China with a 2.5K 165 Hz OLED display and Snapdragon 8 Elite Gen 5. It offers up to 24 GB of RAM and 5G, with prices starting at CNY 4,999 (about $744).

Aug 25 • 5:27 PM EDT • Technology • notebookcheck.net

Review: Razer Naga V3 Pro: the best MMO mouse I've ever used, and ideal for macro fiends too

23 programmable buttons, infinite scroll and high-end internals.

Aug 11 • 11:00 AM EDT • Technology • digitalfoundry.net

BBC Radio 4’s acclaimed science and comedy podcast The Infinite Monkey Cage returns with guest presenters Adam Rutherford and Jessica Fostekew

Broadcaster, author and science journalist Adam Rutherford and award-winning comedian Jessica Fostekew are stepping in as guest presenters

Aug 6 • 8:30 AM EDT • Science • bbc.com

After Hobbes vs Rousseau: Politics must move beyond human nature

Since the great debate between Hobbes and Rousseau, our political theory has been organised around a single question: is human nature essentially good or essentially corrupt? Graham Harman, the philosopher behind object-oriented ontology, argues that this is simply the wrong question to be asking. The real forces governing our collective fate - climate change, artificial intelligence, geography, and pandemics - are non-human; therefore, questions about human nature are not the central ones. Instead, Harman proposes a politics reorganised around our relationship to non-human objects and environments, in which quasi-government institutions incentivise and deter actions with the aim of extending the survival of the human race. “It is easier to imagine the end of the world than the end of capitalism.” This has become one of the most popular phrases among twenty-first-century intellectuals. Often misattributed to Fredric Jameson, it has been warmly embraced by such influential authors as Slavoj Žižek and the tragically departed Mark Fisher, and has fueled the notion that the major problem with the political Left is that it simply needs to become more speculative and creative. Naturally, this is never a bad idea in any human pursuit. But what if the political distinction between Left, Right, and Center itself results from a failure of imagination? SUGGESTED READING Hobbes vs Rousseau: are we inherently evil? By Robin Douglass This particular division has been with us only since the summer of 1789. During the simmering prelude to the French Revolution, it referred originally to the physical position in the National Assembly of radical figures on one side and loyal monarchists on the other. These positions are linked with two entirely different camps of modern political theory. On the Left we find a series of authors ranging from the moderate (Locke) to the supercharged (Rousseau) to the truly radical (Marx), all of them contending that exploitation of the many by the few justifies revolutionary overthrow of the existing order. On the Right they are countered by the likes of Machiavelli, Hobbes, and Schmitt, a group of thinkers convinced that corrupt human nature can be tamed only by force. In the words of the Nazi supporter Schmitt: “One could test all theories of nature and state and political ideas according to their anthropology and classify these as to whether they consciously or unconsciously presuppose [humans] to be by nature evil or by nature good.” This is the division we continue to face today, even in the daily retail politics of Western democracies.___Our species has regularly proven itself capable of both the noblest gestures and the most scathing cruelties, making it hard to define us as essentially either emancipatory or brutal in our aims.___The most refreshing feature of David Graeber and David Wengrow’s 2021 book The Dawn of Everything: A New History of Humanity was their awareness that the forced choice between Rousseau and Hobbes (as they put it) is no longer sufficient. Our species has regularly proven itself capable of both the noblest gestures and the most scathing cruelties, making it hard to define us as essentially either emancipatory or brutal in our aims. Far from being stationed “beyond good and evil,” we seem to be fully entangled with both. We are not naturally good or evil, Graeber and Wengrow contend, but naturally experimental and imaginative. They rest their case on the archaeological record, which seems to bear witness to numerous episodes of seasonally shifting governments and festivals, which vacillate in the same society (even in the same year) between the egalitarian and the dictatorial. Such praise of political experiment makes a good fit with the generally anarchist position defended by these authors. Yet it is also what I find most disappointing in their position. Although they are right that the forced choice between Hobbes and Rousseau falls short of what our new situation requires, the authors simply replace it with praise for the human being as a political tinkerer and performer. In other words, they give us just another theory of human nature, one that would not have been out of place in the sixteenth or seventeenth century. What other options might we have?___The time is ripe for a retheorization of politics on the basis of something other than human nature… We are not just alienated and limited by objects, but also empowered and unleashed by them___One fresh approach would be to treat politics within a broader framework than human nature, given that the polis does not exist in a vacuum filled exclusively with people. When Bruno Latour went to observe the baboons of Kenya with the San Diego anthropologist Shirley Strum, they jointly concluded that these primates were more socially interdependent than our own species. Each baboon is so reliant on the dynamics of the group that they find themselves locked into constant surveillance of their potentially dangerous peers. The group structure turns out to be inherently volatile. Humans, by contrast, are able to stabilize their societies to a large degree through the mediation of inanimate objects. Although one’s position in society may seem to fluctuate over time, considerable stability is produced through such items as apartment keys, wedding rings, and identification cards, all of them serving to secure us a place distinct from that of our fellows. The Italian philosopher Maurizio Ferraris has written at length about the crucial role of documents in establishing social relations, making him a hero among notaries in his country. Proper names and license plates cement our position amidst other humans, as do symbolic achievements such as graduation from a top university or distinguished wartime service with its various medals and ribbons. None of this is found among baboons, despite their closeness to us on the evolutionary tree: after all, we did share a common ancestor just 25 to 30 million years ago. SUGGESTED VIEWING The goodness paradox With Richard Wrangham The time is ripe for a retheorization of politics on the basis of something other than human nature, whether understood in the manner of the Left or of the Right. We are not just alienated and limited by objects, but also empowered and unleashed by them. But initially, it is true, we face non-human things primarily in the form of constraints. It would be difficult, perhaps impossible, to form a human civilization underwater, deep underground, atop Mount Everest, or in outer space. Human dependence on the non-social background takes on subtler form in discussions of political geography, especially unloved on the more idealistic Left. Consider the luckless position of Poland during World War II, sandwiched between Hitler on one side and Stalin on the other. By contrast, note the good fortune of the United States in not having a military peer positioned on any land border. Anglo-American geopolitics, since the writings of the American naval commander Alfred Thayer Mahan and the British geographer Sir Halford Mackinder, has been wedded to the notion that one or more liberal offshore naval powers should prevent any authoritarian “heartland” regime from gaining effective control of Eurasia. That remains the case whether the opponent is the impatient Napoleon, the swashbuckling German Kaiser, the villainous Hitler, the murderous Stalin, or the industrial juggernaut Chinese. In their current Foreign Affairs article “Heartland vs. Rimland,” Michael Beckley and Hal Brands analyze the current and coming state of the world on the basis of these same rather durable principles. In recent years a similar outlook has been embraced, in inverted form, by the Putin-loving Russian philosopher Aleksandr Dugin, an icon of the Rightist intellectual underworld. For Dugin, the Anglo-Saxons are an evil force bent on destroying the spiritually superior people of the land: much like Athens in its failed war with Sparta, or Carthage in its eventual collapse against Rome. But the shared notion on both sides is that any strategy that fails to take geography into account is likely to end up as a defeated form of excessive optimism.___When dealing with environmental degradation, then, we are doing business with forces that promise dire effects on our species as a whole.___More striking for us today than geography is the non-human object called climate, which threatens rimland and heartland equally. Even if we contend that humans are one hundred percent responsible for triggering the climate crisis, it remains non-human in the sense of being an independent force beyond our effective control. In a major work published just before his death in 2002, The Structure of Evolutionary Theory, the American paleontologist Stephen Jay Gould noted the tendency of evolutionary theorists to focus too closely on the fate of individuals in view of their successful or failed adaptation to circumstances. With climate change, however, we confront a force that goes well beyond the scope of any individual life. Whereas Richard Dawkins extended evolutionary questions downward from individuals to the sub-individual gene, Gould pushed it upward, speaking of entire species or clades as impacted by environmental change. The asteroid that struck the Yucatán 66 million years ago is only the most famous example of this sort. In the wake of that catastrophe, large animals needing abundant supplies of food were at a fatal disadvantage by contrast with the smaller birds and mammals of the planet. When dealing with environmental degradation, then, we are doing business with forces that promise dire effects on our species as a whole. The effect is to shift our attention away from individual beings towards the survival of the group.In the United States in particular, the COVID-19 pandemic sparked considerable backlash among those who asserted a nearly absolute degree of individual freedom. In California I encountered those who demanded that their businesses be allowed to reopen, that it was enough to cover their mouths but not their noses, or that they should have the right to enter any public area despite refusing vaccination. Yet public health is probably the clearest argument against libertarianism, which often merely asserts the autonomy of individuals against any claims of the commons. In normal times the individual is worth defending; under conditions that threaten the survival of part or all of our species, compulsion may be our only resort, as with perfectly reasonable blackouts and rations in wartime. To rebuild human society under the constraints of climate change will be one of the great challenges of the century to come, as will our improvised grappling with artificial intelligence. Such phenomena pose existential risks for humanity, and leave far less room for tolerance of individual brattiness. Cases are mounting of devastating wildfires caused by arson. Recently it was reported that there is even a website where one can bet on the location of coming wildfires, raising the specter of deliberate blazes set to collect on wagers. The death penalty has steadily lost support in a world where many stress the infinite value of human life. But if we focus instead on entire ecosystems, those who purposely burn the forests may begin to look worse than serial murderers.___The politics of the future may be splintered by disagreement over such topics as how to manage our environing background and how to permit or restrict the entry of new objects into the political sphere.___So far I have spoken of force, authority, and punishment: measures sure to have greater appeal to those who identify with what we know as the Right. But other implications of the post-anthropocentric world are likely to have different backers. If non-human objects are seen as structuring political space, it stands to reason that they can no longer be introduced solely by the pace of technical breakthrough. Fields ranging from cybernetics to energy will demand increased politicization once they are reconceived not just as products of individual human investment, but as renovations of collective political geography. This need not involve world government, with its inherent risk of tyranny, but may involve quasi-governmental enforcers of prestige along the lines of a less corrupt FIFA or International Olympic Committee, punishing deviant states not with violence but with less tangible incentives.Politics will never lose its historic links with conflict and faction. But rather than factions aligned by differing theories of human nature, the politics of the future may be splintered by disagreement over such topics as how to manage our environing background and how to permit or restrict the entry of new objects into the political sphere. This will prove just as incommensurable with the modern Left/Right spectrum as a globe is with a two-dimensional map.

Jul 30 • 8:00 AM EDT • Politics • iai.tv

Tickets on sale for Hancher’s Infinite Dream Festival

Infinite Dream returns to Iowa City Sept. 24-26. Tickets are on sale now for the multidisciplinary arts festival exploring the shape, depth and complexity of the American story, produced by

Jul 20 • 3:51 PM EDT • Entertainment • thegazette.com

Phoebe Bridgers Launches Itch.io Page With An Infinite Runner

The indie superstar breaks her hiatus with a RuneScape inspired single and a Subway Surfers style micro game

Jul 12 • 6:22 PM EDT • Technology • kotaku.com

Dumb Co dared me to trade my iPhone for a hacked flip phone

Dumb Co sells flip phones that sync to your smartphone, bridging the infinite connectivity of the iPhone and the unrealistic limitations of an early 2000s relic.

Jul 10 • 12:06 PM EDT • Technology • techcrunch.com

Hancher announces programs for 54th season

The schedule includes a Broadway series, traditional performing arts events, cutting-edge multidisciplinary arts, contemporary touring music and comedy, two festivals — Infinite Dream and Stop/Time — and a groundbreaking celebration

Jul 10 • 11:15 AM EDT • Entertainment • thegazette.com

EU accuses Meta of failing to tackle mental health risks of ‘addictive design’

Regulators say Facebook and Instagram features such as autoplay and infinite scroll contribute to ‘compulsive use’

Jul 10 • 6:00 AM EDT • Health • theguardian.com

Be There for Every Customer With Meta Business Agent

Meta Business Agent is AI that lets every business show up for every customer, as if they had an infinite team behind them.

Jun 3 • 9:40 AM EDT • Business • about.fb.com

Stayed in Celebrity Cruises Infinite Veranda cabin; pros outweigh cons

Celebrity Cruises' Infinite Veranda cabins have unique features, and many say its cons outweigh the pros. But I think the stateroom is a good value.

May 31 • 9:58 AM EDT • Business • businessinsider.com

Tony Blair says Labour must abandon net zero, support Trump and move firmly to the right

In highly unusual intervention, ex-PM says his party’s ‘almost infinite capacity for self-delusion’ makes it likely to lose next election

May 26 • 5:00 PM EDT • Politics • theguardian.com

New Diablo 4 patch notes stamp out 'infinite goblin' War Plans exploit

Diablo 4 patch 3.0.3 focuses on bug fixes, removing infinite loops in War Plans and correcting a mission block caused by Lord of Hatred.

May 24 • 8:08 AM EDT • Technology • pcgamesn.com

Smashing Pumpkins Announce Rats in a Cage Tour to Celebrate ‘Mellon Collie and the Infinite Sadness’

"Staging a Mellon Collie-themed show is something we’ve discussed for over a decade, and finally the stars have aligned," says Billy Corgan

May 18 • 11:56 AM EDT • Entertainment • yahoo.com

BioShock Infinite 'Wasted A Lot Of Time And Money' On Dead Ends

The next game in the steampunk horror shooter franchise is taking a long time

May 7 • 9:57 AM EDT • Technology • kotaku.com

Supreme Court Conservatives Promised That Repealing Roe Would Solve a Major Problem. They’ve Made It Infinitely Worse.

Chaos is the new normal.

May 5 • 1:48 PM EDT • Politics • slate.com

Get Money Out of Politics

Individuals and corporations alike can spend infinite sums of money to influence elections and push candidates that will support and – at the very least –

Apr 14 • 9:00 AM EDT • Politics • counterpunch.org

‘The Beast’ is here, plus a base-brawl

The Pulse Newsletter 📣 | This is The Athletic’s daily sports newsletter. Sign up here to receive The Pulse directly in your inbox. Good morning! I hope you have a favorite fact about yourself ready. Inside: 📘 600 pages of NFL Draft 🥊 Base-brawl 🐘 Behold the Zammoth I come to you this morning with a confession. I find most pre-draft content, for any sport, exhausting. Not because of the specific article or mock draft or report, but because of the cycle itself. We are yammering about the infinite possibilities of something that has not happened yet. At a certain point,...

Apr 8 • 6:20 AM EDT • Sports • nytimes.com

Veteran Halo Developer Accuses Studio of 'Numerous Unethical and Unlawful Acts'

The art director of Halo Infinite and a veteran developer on the franchise is accusing senior staff at Halo Studios of numerous unlawful acts.

Apr 4 • 12:56 PM EDT • Technology • insider-gaming.com

The secret to Mario’s infinite lives

“The Super Mario Galaxy Movie,” which hit theaters April 1, is expected to be one of the biggest box office hits of the year. Because, Mario.

Apr 1 • 2:30 PM EDT • Entertainment • washingtonpost.com

Halo: Campaign Evolved Involves ODSTs, Brutes and New Covenant Faction in Prequel Missions

However, Halo Studios is also reportedly reusing Halo Infinite's models for the Banished Covenant and UNSC Marines in the same.

Mar 29 • 10:00 AM EDT • Technology • gamingbolt.com

BERRY: Nebraska’s season ends in heartbreak fashion

After a memorable season spanning four months and 28 days, highlighted by 28 wins, only seven losses, broken records, flu games and infinite memories, Nebraska’s historic 2025-26 season ended in Houston on Thursday night.

Mar 27 • 2:15 PM EDT • Sports • dailynebraskan.com

Marathon has sold 1.2M copies across Steam, PS5, and Xbox

Alinea Analytics estimates show that Marathon has generated gross revenues of $55M via 1.2M copies sold on Steam, PS5, and Xbox: Looking at the split between Steam, PS5, and Xbox, Steam is clearly the main platform for Marathon, accounting for a little under 70% of the audience (800K copies sold). Meanwhile, PS5 takes about 19% (217K) and Xbox (including console, PC, and cloud) accounts for a bit over 11% or 133K. Marathon is technically a first-party Sony title, so seeing the home console struggle to break 20% of the volume is a notable data point for the ongoing platform-agnostic debate. PlayStation Studios online games will almost certainly continue being multiplatform (despite Sony reportedly pulling back on PC releases). Subscribe for free to get the most accurate games estimates in your inbox twice a week 🫶 Subscribe As for Marathon, the consensus among hardcore players who pushed through the awkward onboarding phase – myself included – is that it’s fantastic. The gunplay, aesthetic, and presentation are among the best in the shooter genre. A great game doesn’t always equal an immediate hit, though, as shown by our estimates. Things are looking lukewarm right now. But this might be one of those marathon-not-a-sprint situations. Had to, didn’t I? Why wasn’t Marathon a hit on the same level as Arc Raiders? One topic that came up in a lot of conversations at GDC this year was why Marathon hasn’t hit the same stratosphere as Arc Raiders. On paper, they’re both extraction shooters, and Marathon has the Bungie pedigree – the house that built the gold standard for gunplay in Halo and Destiny. Marathon’s neon-futuristic aesthetic also distinguishes itself from the gritty realism of Tarkov or the post-apocalyptic hope of ARC Raiders. But vibes can only get you so far for first impressions if the onboarding feels like a brick wall. Marathon is a sweaty PvP-focused experience with a first-time user experience and UI that I can only describe as dreadful. Players are dropped into a complex ecosystem where the UI, though visually striking, is functionally uninformative, forcing users to manually hover over nondescript, identical icons just to identify basic gear or weapon mods. This lack of clarity is compounded by punishing mechanics like a severe heat gauge for movement and a scarcity of vital resources, all without a clear tutorial or a low-stakes mode to learn the ropes. Most people – even top streamers and veteran shooter players – have no idea what’s going on in Marathon at first. Arc is on the complete other end of the spectrum. As we covered here and here, Arc Raiders offers a more collaborative, approachable loop where players often work together toward shared goals. And the objectives are instantly clear. To many players, this contrast only emphasised Marathon’s issues, especially during the testing period. Players understand the Arc Raiders loop within 30 minutes, while Marathon acts as a massive filter, chewing up newcomers and spitting them out before they can experience the depth of Bungie’s signature gunplay. What I’m getting at here is that the poor first-time user experience of Marathon’s Server Slam likely stifled launch sales, while the opposite was true for Arc. Let’s look at the pre-launch copies sold for each game during their respective Server Slams (launch-aligned) : Looking at the trajectory: Arc Raiders saw a massive 80% jump in copies sold during its three-day Server Slam (day -13 to -11). Players jumped in, realised the water was fine, and immediately opened their wallets. Marathon, meanwhile, saw a 49% increase in the four days following its Slam (Day -7 to -3). At the time of each game’s respective launch, Arc Raiders had nearly double the Steam footprint of Marathon – and word of mouth only continued to grow. Bungie could have had more time to fix the onboarding process had the beta happened earlier. But Marathon launched three days after the beta finished. These factors limited the launch sales quite a bit, I reckon. Marathon has found a niche audience, though Despite the friction-heavy start, the data suggests that those who survived Marathon’s onboarding are loving life. We’ve been tracking cross-platform DAUs, and while there’s the expected post-launch leakage, many players are sticking with it. After peaking at 478K total DAUs on its first Saturday, Marathon has settled into a respectable rhythm, holding 345K DAUs as of yesterday and averaging 380K DAUs across the weekend. Steam continues to do the heavy lifting here, consistently accounting for the lion’s share of the daily players. Players have been putting in the hours, too: On Steam, Marathon’s average playtime has climbed to 27.8 hours, significantly outpacing the console averages on PS5 (16.5h) and Xbox (17.3h). Even more telling than the averages: 22% of the Steam audience has surged past the 50-hour mark, and nearly 7% have already logged over 100 hours. Subscribe for free to get the most accurate games estimates in your inbox twice a week 🫶 Subscribe This data suggests that once the Bungie magic clicks, it hooks players deeper than the average extraction shooter. There’s also started to be a shift in the game’s discourse. Marathon launched as one of those games that’s cool to hate. But as Marathon’s 100-hour club grows, we’re seeing conversations around its mechanical merit outweigh the negativity. Several high-profile creators, who were initially vocal critics, have spent the last week coming around on the mechanical depth of the endgame. It’s a subtle but positive signal; the hate train is losing steam, and a new narrative about the game is emerging. Bungie faithfuls unite Another interesting metric in Marathon’s first few weeks is who, exactly, is playing. Bungie leans heavily on its prestige as the “makers of Halo and Destiny,” in its marketing, and that message has clearly hit the mark. On Steam, the gravity (hammer) of Bungie’s previous work is unavoidable. A staggering 78.2% of Marathon players also played Destiny 2. The trend carries across other platforms, with 74.2% of PS5 players and 82.7% of Xbox players also having played Destiny 2. The Halo legacy lives on, it seems. More on that in a bit. While Destiny 2 went free to play, these numbers still represent a high-intent migration of a fanbase that trusts Bungie’s specific brand of kinetic gunplay and cryptic world-building. The Xbox data adds another layer of legacy. About 85.7% of Marathon players on Xbox have played Halo Infinite, while over half of the Steam audience has spent time in Halo Infinite and 36.1% in the Master Chief Collection (a paid collection of the old Bungie-made legacy games). Interestingly, we see a 55.9% overlap with ARC Raiders on Steam. Overlap is even higher there on PlayStation (60.5%) and Xbox (66.5%). And there’s also significant crossover with Helldivers 2 on all platforms, too. Subscribe for free to get the most accurate games estimates in your inbox twice a week 🫶 Subscribe Bungie has found some of its fans with Marathon, and the challenge now is keeping this engaged in a high-stakes PvP environment when they’ve spent the last decade primarily enjoying the power fantasies of PvE. On that note… Go the full 26 miles? Or cut and run? Time for some could’ve, should’ve, would’ve. These things would have improved Marathon’s performance at launch: A more robust onboarding process, perhaps in the form of a short single-player/PvE campaign. We know Bungie fans love this stuff. A traditional arena-based mode akin to Destiny’s Crucible could have been a bridge for the cautious players who’d have been otherwise deterred by the Server Slam. It’s also a great palate cleanser after getting merked. Introducing a dedicated PvE environment would have similarly diversified the conversation and lowered the barrier for the Bungie faithful who found the pure PvP extraction loop too abrasive. PvE is safer than PvP these days. There’s an argument that a thin PvE mode would have just felt like a budget Destiny, potentially hurting the brand more. But given how dire the FTUE is, I think it would have been a net positive. Any kind of tutorialised loop that demystifies the stakes, really. While there is merit in a studio sticking firmly to a singular creative vision, and going all in on the hardcore extraction loop. Less forgiving is the technical reality is that the user interface and first-time user experience (FTUE) were not at a commercial standard for launch. Subscribe for free to get the most accurate games estimates in your inbox twice a week 🫶 Subscribe In a landscape where player time is oversaturated and the most contested currency, a flawed FTUE is a critical failure point. But it’s not all doom and gloom, as Marathon has an incredible, unique gameplay loop, suggesting that financial success is still attainable if Bungie can pivot effectively. Bungie and PlayStation now face a difficult strategic crossroads, though – one within a challenging games market. They could: Double down on Marathon with a long-term Rainbow Six Siege- or No Man’s Sky-style recovery plan, which is something I heard Last Stand Media’s Chris Maldonado mention last week. While this could be a sunk-cost fallacy in action, it could eventually yield the audience the game’s mechanical depth deserves. Shift focus toward the inevitable Destiny 3 or another project, mitigating the escalating opportunity cost and cutting their losses, so to speak. Doing both is an expensive proposition, given the high overhead and burn rate of operating out of Bellevue, Washington. With Sony recently demonstrating a lower threshold for underperforming studios and projects, the margin for error has vanished. Whatever happens, the next six months will determine whether Marathon becomes a cornerstone of Sony’s live-service portfolio or a cautionary tale of vision exceeding accessibility. I’m hoping it’s the former, because Marathon rocks. As always, hit subscribe to get updates on Marathon and other relevant games. Subscribe Want to get your hands on our data for yourself – for free? We’re offering a free trial of our platform for games companies. Send us a message here, or reply to this email, and we’ll set you up. The last word Reply to this email – or reach out here – if you have any feedback for the newsletter – or want to request a game for us to cover. [Alinea Analytics boasts the most accurate PC and console estimates in the business. Game makers use our platform to understand their audience, keep an eye on the competition, monitor sales trends, and spot new opportunities. We equip game studios and financial institutions with accurate data and the confidence to make smarter, data-driven decisions. Want to talk about all things games market data? We’d love to chat!]

Mar 24 • 2:06 PM EDT • Technology • alineaanalytics.substack.com

Slay The Spire 2 update fixes some spectacular multiplayer bugs, like the relic that gives infinite block

The first round of fixes for Slay The Spire 2 focus on sorting out issues with the game's killer asset, multiplayer.

Mar 9 • 4:28 AM EDT • Technology • rockpapershotgun.com

Carbon emissions now more than double the planetary boundary, analysis finds

Earth is not infinite. Pollution beyond certain levels threatens the climate and ecosystems. To prevent this, scientists have proposed planetary boundaries, defining the safe operating limits of the Earth ...

Mar 6 • 9:20 AM EST • Science • phys.org

Despite likening new Xbox head's job to a "palliative care doctor", original co-creator doesn't actually think Xbox is dead

Seamus Blackley, one of the co-creators of the original Xbox, has assured the community he doesn't actually think Xbox is "dead".

Feb 25 • 6:59 AM EST • Technology • eurogamer.net

Windows 11 KB5077181 Security Update Causing Some Devices to Restart in an Infinite Loop

Microsoft's February 10, 2026, security update KB5077181 for Windows 11 versions 24H2 (build 26200.7840) and 25H2 (build 26100.7840) has triggered widespread reports of critical boot failures just days after deployment.

Feb 15 • 6:37 AM EST • Technology • cybersecuritynews.com

Cairn and Peak Capture the Thrill of Climbing Mountains

With infinite pathways and incredible tension, video games like Cairn and Peak are recreating the activity’s emotional highs and lows.

Jan 29 • 5:01 AM EST • Technology • nytimes.com

GameStop Says It's Shut Down a Nintendo Switch 2 Trade-in Exploit That Worked as an 'Infinite Money Glitch'

GameStop has said it has shut down a loophole that let its customers rack up store credit by continually trading in then rebuying a Nintendo Switch 2 console.

Jan 21 • 6:41 AM EST • Technology • ign.com

GameStop Kills 'Infinite Money Glitch' In Wake Of YouTube Video

Okay, wait, wait...not that much power to the players

Jan 20 • 6:12 PM EST • Technology • kotaku.com

GameStop patches IRL infinite money glitch after YouTuber exposes it

GameStop has fixed a real-life “infinite money glitch” after a YouTuber found a way to buy a Switch 2 and return it to get even more money back.

Jan 20 • 3:30 PM EST • Technology • dexerto.com

Fight for All Futures with the Echoes of the Infinite Mini-Set

New Legendary cards and time-bending mechanics set the stage for the final showdown with Murozond!

Jan 7 • 12:55 PM EST • Technology • news.blizzard.com

25th Anniversary Log-in Unlock

All year long, we’ll be celebrating 25 years of Halo with reminiscences and retrospectives on the series that changed gaming forever. Share your favorite Halo memories on social media using hashtag #Halo25Together for a chance to be featured in our official anniversary Halobration! To start the party right, jump into Halo Infinite any time this […]

Jan 1 • 7:13 AM EST • Technology • halowaypoint.com

New York to require social media platforms to display mental health warnings

Social media platforms with infinite scrolling, auto-play and algorithmic feeds will be required to display warning labels about their potential harm to young users’ mental health under a new law, New York Governor Kathy Hochul announced on Friday.

Dec 26, 2025 • 1:19 PM EST • Health • reuters.com

A direct sequel to Halo Infinite is here, but it isn't a new game — new story beats unfold in a medium you probably wouldn't expect

Halo Infinite’s story didn’t end with the campaign, but its continuation arrived somewhere most players were not expecting or actively looking for.

Dec 22, 2025 • 7:00 AM EST • Technology • windowscentral.com

Ramanujan’s 100-year-old pi formula is still revealing the Universe

Ramanujan’s elegant formulas for calculating pi, developed more than a century ago, have unexpectedly resurfaced at the heart of modern physics. Researchers at IISc discovered that the same mathematical structures behind these formulas also describe real-world phenomena like turbulence, percolation, and even black holes. What once seemed like pure mathematics now appears deeply intertwined with the physical laws governing the universe.

Dec 16, 2025 • 7:00 AM EST • Science • sciencedaily.com