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Billionaires turned life insurers into cash machines. Now comes the reckoning.
A lucrative Wall Street strategy has funneled billions from life insurers into their owners' other ventures. Now tougher rules and questions about investment risks are putting the model to the test.
Inside Call of Duty: Modern Warfare 4: The New Game-Changing Tech Powering Every Mode
Smoke, weather and animation have all seen huge upgrades.
Orlando Health dietitian shares tips to manage Halloween candy hauls
An Orlando Health dietitian shares tips for managing Halloween candy hauls and promoting moderation in children.
CoreWeave's business model explained: Why investors are worried
In the Loop Host Ejaaz Ahamadeen breaks down exactly how CoreWeave's (CRWV) business model works, the financial challenges facing the AI infrastructure company, and why concerns about its ability to manage debt are growing. Ahamadeen examines an estimate suggesting CoreWeave faces a 55% probability of default over the next five years, and what that could mean for the company.
Elevance raises full-year guidance on lower medical costs
Elevance spent less premium revenue on medical care in the quarter than Wall Street anticipated.
OpenAI acquired biotech startup Orchestra Bio to expand its life sciences AI tools
OpenAI will fold Orchestra's team and technology into Rosalind, its AI models and tools for life sciences researchers
Mastercard Selects Extend as Financial Operations Platform
Deal said to bring ‘modern spend and expense management’ to issuing banks
Writing the AI regulation rule book | Investors Lab
A mix of specialized AI security startups and established compliance leaders are stepping up
Warhammer 40,000: Dawn of War IV Looks To Right The Wrongs Of Its Predecessor
While developer King Art Games is billing Dawn of War IV as a modern interpretation of the first game, there are lessons from the second and third entries shap…
A train was delayed by a solar storm. But something didn't add up.
Scientists have cracked a 178-year-old mystery surrounding a train delayed by a solar storm, revealing that the famous incident happened in 1848 rather than 1841. The discovery rewrites the early history of space weather and highlights a threat that still endangers modern power grids, satellites, and communication systems.
Earth’s Core Has Been Quietly Leaking Water for Billions of Years
A new study offers an explanation for unusual chemical signatures found in some volcanic rocks.
Google Cloud, DeepMind, and the EU: A New Model for AI-Driven Science
Google's latest European research initiative signals a shift toward collaborative AI innovation, where technology developers provide the tools and scientific institutions establish the priorities for discovery.
Why big insurers are investing in shared provider data
Health insurance partnerships and ventures aim to clean up messy provider directories.
What new insurer entrants think they can do differently
New insurer entrants are promising lower costs and closer care coordination, but analysts warn becoming a health plan remains one of healthcare’s toughest plays.
Organizations look to consultants for help with tax law
A Modern Healthcare survey found demand for healthcare-related consulting services has increased compared with a year ago.
YouTube Gold: The Greatness Of Allen Iverson
Allen Iverson’s game is a good model for Deron Rippey to aspire to.
Will a Chance to Reshape Business Models Help Law Firms Compete With Silicon Valley For Tech Talent?
Technologists without law degrees can't secure equity when working at a law firm. But some observers say that firms offer more rewarding opportunities to build tech infrastructure from the ground up.
Ramstad: With DFL nearing trifecta, business hopes Klobuchar keeps excesses in check
A moderate governor will have to rein in the big-spending DFLers in the House and Senate.
College football mega boosters used to fund buildings. Now they buy QBs. What’s the payoff?
“It's absolutely a non-sustainable business model," said SMU booster Bill Armstrong. "But nobody can control themselves."
WHO supports Nigeria after first Ebola case confirmed
The World Health Organization (WHO) is assisting Nigeria following confirmation of the first case of Ebola Bundibugyo virus disease in the country.
Partners, not family: How 3 college buddies built dairy business
Austin Copenhaver and his partners turned a shared dream into three dairy operations, and a model for the next generation of farmers.
Amodei says Anthropic must stay in 'race to the top' to keep AI safe
Amodei said Anthropic would be best placed to make AI safe by staying at the top of the game.
Leica and Formula 1 Shift Into Gear With Limited Edition Q3 43
The Leica Q3 is the company's most popular model.
Apple is looking for a cellular modem engineer as it eyes 6G
Apple is looking for an experienced cellular modem systems engineer to help develop its next generation of cellular modems as the company transitions toward 6G.
Healthcare and Life Sciences Leaders Build on NVIDIA to Advance Drug Discovery and Expand Patient Care
NVIDIA today announced collaborations with leading global healthcare and research organizations to advance protein design — including through a newly released open model, RFD4-Proteina — accelerate drug discovery and bring greater precision to cancer care.
Toy Story 5, Backrooms and The Breadwinner Vie to Become the Second Biggest Film This Year...
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Often, people blame “data” for ruining Hollywood, when I’d argue that hype (which can often be debunked by data) is often worse, as you can see in these two headlines. To use a common meme, here’s how it started: and how it’s going: Earlier this year, I read countless (and I mean countless) articles (in almost every mainstream media outlet) about how Heated Rivalry was a huge hit and that it “heated” interest in hockey. But Heated Rivalry wasn’t a huge viewership hit compared to the hype: [ ](https://entertainment.substack.com/p/you-cant-eat-buzzdid-heated-rivalrys) [ You Can’t Eat Buzz…Did Heated Rivalry’s Buzz Translate into Actual Viewership? ](https://entertainment.substack.com/p/you-cant-eat-buzzdid-heated-rivalrys) Entertainment Strategy Guy · Jan 22 [ Read full story ](https://entertainment.substack.com/p/you-cant-eat-buzzdid-heated-rivalrys) In this case, the hype (Heated Rivalry is really popular) belied the data (It didn’t make the top ten charts, meaning it wasn’t a huge hit.1) Even worse, every time I write about this, I get a lot of negative feedback, hence why I only sparingly mention the show these days or add lots of caveats when I write about it, but this just further cements the hype. But companies, and the executives leading them, have to determine strategy based on reality, not media coverage. The NHL committed real marketing dollars to a campaign that didn’t work. Sure enough, the latest NHL season opened to under a million viewers. At some point, you have to focus on what the data says, because real dollars are at stake. And that’s why we have the Streaming Ratings Report! To provide and analyze cold, hard data. Luckily, this week, I can be positive and take a look at a huge opening on streaming, along with a very buzzy horror film that customers kind of like, but don’t really love. And a comedy that tried to rebound on streaming. Today, I’m covering two weeks—21-Sep and 28-Sep—so we have a lot to discuss (nearly 5,000 words worth), including a series of film misses for Netflix, another argument for weekly-released TV shows on streaming, another sitcom tries to avoid the comedy curse, Netflix has two new game shows (one powered by AI), Reacher falling off the charts after a huge run, Prime Video tries its hands at the romcom game**,** a look at the WNBA’s big season, a big night for the VMAs on CBS and MTV, all the flops, bombs and misses, and a whole lot more. (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, JustWatch and Reelgood interest data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the weeks of September 14th to October 4th, 2026. You can find a link to my terminology here.) Subscribe Film - Two Hits and a Miss Come to Streaming… Three very interesting films came to streaming in one week, and I like comparing them since they show the range of theatrical films. One was a huge blockbuster, one was popular, and one was neither. One is a horror film, a buzzy genre; one is a comedy, a struggling genre; and one is an animated family film, the king of the box office. One went to a tiny streamer (HBO Max), one went to a second-tier streamer (Disney+), and one went to the biggest (Netflix). So… If you just went by box office, you’d expect Backrooms—the $197 million grosser, and partner of Obsession for “YouTube Horror Summer”—to dominate on streaming. If you read this report, though, you know that horror films don’t do great on streaming, and that’s the case again. Backrooms opened at 3.8 million hours according to Nielsen, and had 3.9 million hours in its second week. Here’s how that stacks up to other HBO Max films: We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… ...why I don’t buy Backrooms budget… …two new games shows arrive on streaming… …another sitcom struggles… ...another argument for putting out shows weekly on Netflix... ...and a whole lot more, nearly 5,000 words more... ...please subscribe! We can only keep doing this great work with your support. If you want an idea of just how much content you’d get in a full issue, check out this older issue. Coming Soon! Next week, I’ll be taking a look at the eighth season of Hulu’s The Kardashians, answering the question: will this show ever make the charts? If Mormon wives can make it, surely one of social media’s most popular families can as well. Also, Prime Video has a new horror show based on popular IP, Carrie, Netflix has a horror show starring Josh Hartnett, Below, and Apple TV has a UK import, Small Prophets. Plus a bunch of movies like Disclosure Day heading to Peacock, The Housemaid coming to HBO Max, Ben Affleck’s latest on Apple TV, Animals, and Matchbox the Movie on Apple TV, a John Cena action comedy inspired by Hasbro’s toy cars. The week after is even busier! I’ll look at another IP-based horror show, Crystal Lake, a new MCU show on Disney+, VisionQuest, season two of The Lowdown on FX/Hulu, the fourth seasons of The Diplomat on Netflix and Tulsa King on Paramount+, another season of Love is Blind, and four straight-to-streaming films: Netflix’s Sacrifice (starring Chris Evens, Anya-Taylor-Joy, Vincent Cassel, John Malkovich, Salma Hayek. Charlie XCX), Apple TV’s Tenzing (starring Tom Hiddleston and Willem Defoe), Prime Video’s Love of Your Life (Margaret Qualley) and Masterplan (Stanley Tucci) and a whole lot more, somehow. Long term, here’s some huge IP news: a Game of Thrones movie is coming to theaters, Game of Thrones: Aegon’s Conquest in 2029, while Jon Watts (who helmed three of the most recent Spider-Man movies) is directing the next Star Wars trilogy, to be written by Simon Kinberg. I’m cautiously optimistic for both. It feels obvious to say that making good movies matters, but for bets this big (Star Wars is on a swoon, Game of Thrones hasn’t been to theaters yet), the quality has to be there.
Hickory Tavern Announces New Daily Specials and Refreshed Entertainment Calendar
With football season in full swing, Hickory Tavern, the modern American tavern and neighborhood gathering spot with 16 locations across North and South Carolina, has introduced new daily food and drin...
OpenAI acquires startup Orchestra Bio to beef up its biotech business
OpenAI says it's adding Orchestra's team and technology to work on Rosalind, its AI model for life sciences research, and to its related Rosalind Workbench tool, a harness that aims to help researchers plan experiments and analyze results.
NASA Study Refines Projections for Thwaites Glacier
Antarctica’s Thwaites Glacier could contribute more to sea level rise by the end of the century than some previous estimates. In some model simulations, the glacier’s contribution was as much as twice current projections.
A Big Overhaul Of Xbox Game Pass Is In The Works
The service will reportedly move to a more à la carte model
Apple's Touchscreen OLED MacBook Pro: Everything We Know
Apple is working on a high-end MacBook Pro, and it's nearly ready to launch. It will have several firsts in a Mac, including an OLED display and a touchscreen. Design Apple hasn't redesigned the MacBook Pro since the launch of the M1 Pro and M1 Max models in 2021, so it's due for a new look. The new MacBook Pro is expected to feature some minor design changes.
iPad Mini 8 Expected Next Week With These 10 New Features
Apple reportedly plans to unveil an iPad mini 8 with an OLED display next week, with those invited to Apple's Los Angeles experience on Wednesday, October 28 expected to receive hands-on time with the device, alongside MacBook Pro models with touch-enabled OLED displays, a 14-inch MacBook Pro with an M6 chip, and an iMac with an M6 chip.
Birth centers are linked to better health outcomes, research shows, but 10 states have none
Birth centers are an option for those with low-risk pregnancies and are correlated with more positive health outcomes, but 10 states do not have any birth centers at all, and more could be built with certain state policy solutions and different models of care, a new report suggests.
Samsung Has Already Found the Next Way to Unfold a Phone
A leaker claims that the long-awaited Galaxy Z Slide is finally upon us.
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.
Hackensack Meridian Health, Hunterdon Health to merge
Hackensack Meridian plans to invest $200 million into capital projects that support Hunterdon facilities and programs.
Google says Chrome’s Safe Browsing Enhanced Protection mode makes users 10x safer
Chrome today announced the latest features for Safe Browsing Enhanced Protection. Google says this mode makes users ten times safe...
Impressions: Call Of Duty: Modern Warfare 4 DMZ - CoD's Extraction Shooter Mode Hits The Target
3vPvPvE
Cognition cofounder: AI race hits 'intelligence saturation' point
Cognition's cofounder says many AI coding tasks are now "intelligence saturated," making cost and speed more important than a smarter model.
People Using AI to Make Smart TVs Dumb Again Is the Most 2026 Thing Ever
That's not to say it's not a noble cause, though.
Intermountain Health Lutheran Breast Care Center Earns Re-accreditation
Intermountain Health Lutheran Hospital Breast Care Center in Wheat Ridge has been re-accredited under the American College of Surgeons (ACS) National Accreditation Program for Breast Centers (NAPBC).Breast cancer is the most common cancer diagnosed in women in the United States after skin cancers. Programs accredited by the NAPBC follow a model ...
Army-Navy Game Could Shift Dates to Accommodate 24-Team CFP
The game could take place the Saturday left open without conference championships.
You Should Probably Check Your Google Home Speaker’s Data Usage
Google Home Speakers have been absolutely ripping through data—mine included.
Sahara Ray’s sister pays tribute after model’s death at 34: ‘She was magic’
Ruby Ray remembered her older sister as “a light so bright that this world feels impossibly dimmer without her in it.”
Yahoo Sports midseason awards: Biggest surprises, disappointments, Heisman picks, title predictions and more
Nvidia Is Coming for Intel and AMD's CPU Business
Modal will deploy Nvidia's new Vera central processor.
Perot Museum Of Nature And Science Unveils $185 Million Expansion
The expanded campus is scheduled to open in late 2028
People who've finished Call of Duty: Modern Warfare 4 on the new YOLO, single-life difficulty share experiences and tips for doing so
In COD: Modern Warfare 4's new YOLO difficulty, any game over screen takes you back to the very beginning of the game. But there are some tips for beating it.
Could AI Use a Simple Photo of Your Face to Reveal Clues About Your Health?
A new AI model can estimate biological age and predict cancer survival outcomes using a simple photo of a patient’s face, though more research is needed before doctors will be able to use it to help them decide on treatments.
Is this America's most normal congressional race? San Diego candidates run on classic platforms
Democrat Marni von Wilpert and Republican Jim Desmond are vying for the 48th Congressional District’s swing voters with moderate, establishment politics
Scientists discover learning and memory formation in model membranes
A decades-long collaboration between two Department of Energy Oak Ridge National Laboratory scientists is reshaping how we understand
Sensor Tower data shows the yawning gap between GTA 6 and everything else
In terms of preorder numbers, Rockstar's game is 148% head of 2022's Call of Duty: Modern Warfare 2 at this point from launch
Opinion | Dane County must stop underfunding mental health services
Natalie Eilbert: The need for mental health support is high, but Dane County’s contract model sets major provider Journey Mental Health Center up to fail.
3 reasons why healthcare organizations ditch tech vendors
Health plans and providers are increasingly inking performance-based contracts with digital health companies to ensure returns on their investment.
How one health system is battling rising uncompensated care costs
Sanford Health is expanding patient navigation and Medicaid renewal support as uncompensated care costs rise and more patients lose coverage.
So What Is Socialism, Anyway?
In a world dominated by neoliberal market fundamentalism, “socialism” is what will make a more moderate, regulated form of capitalism work for most people.
ARK Invest Bets One Business Can Lift Tesla Stock to $4,400
ARK Invest’s open-source model values Tesla at about $4,400 per share in 2031, with robotaxis at 80% of enterprise value.
mIRage-LS - Multimodal submicron IR imaging & spectroscopy for life science research
The mIRage-LS combines sub-500 nm O-PTIR with co-located fluorescence microscopy for advanced life science research.
Nvidia CEO urges German manufacturers to adopt AI
FRANKFURT, Germany — Nvidia CEO Jensen Huang urged Germany’s makers of cars and industrial machines to quickly adopt artificial intelligence to “re-engineer” the country’s struggling business model by tapping its
China’s new 0.1-nanometre electron microscope ready to challenge US and Japan
Model marks shift from R&D to commercialisation and aligns with country’s effort to cut reliance on imported tech.
Your age may not tell the whole story about how healthy you are
Researchers developed a five-factor Lifestyle Index assessing physical activity, BMI, smoking, sleep quality, and sexual satisfaction in 312 Swiss adults aged 35 to 65 years. Higher scores were modestly associated with younger bio-functional age, suggesting a relationship between combined lifestyle patterns and functional health, although the findings cannot establish causation.
How Trump Just Became Our Modern Benedict Arnold: Political Guru
David Rothkopf sounds the alarm on Trump’s stunning betrayal of Ukraine.
Entertainment Look-A-Head: ‘Cyberpunk: Edgerunners 2,’ ‘Call of Duty: Modern Warfare 4,’ ‘Clayface’
From Oct. 20-25, new games launch, movies hit the theaters and several series get new episodes.
Percival AI can uncover unseen health issues in CT scans
When analyzed by a new artificial intelligence model developed at Penn Medicine, CT scans reveal much about a patient's health beyond the specific condition they were originally ordered for, according ...
Four AI Agents Have Slain Minecraft's Ender Dragon
"To our knowledge, this is the first end-to-end autonomous completion of Minecraft by AI agents."
HomePod 27.2 Adds Sound Glow to Existing HomePod Models
Apple's latest software update for the HomePod brings a new Sound Glow feature to the HomePod, HomePod mini, and HomePod mini 2. Apple introduced Sound Glow as a HomePod mini 2 feature, but it's available for the second-generation HomePod and the original HomePod mini too. HomePod Software 27.2 is available as a release candidate update for developers and public beta testers, but it should launch next week.
AI facial health recognition tools help physicians assess age and survival risk to guide personalized treatment
Mass General Brigham researchers trained a new AI foundation model on more than 40 million facial images, and used it to develop AI tools to estimate biological age and directly predict survival risk in patients with cancer
Chinese Phone Batteries Are Just Getting Out of Hand
I'll go further: Chinese phones are getting out of hand.
Sahara Ray, model once linked to Justin Bieber, dies at 34
NEW YORK — Model Sahara Ray is dead at 34. The family of the Australian fashionista once linked to Justin Bieber told TMZ that Ray died Sunday night “surrounded by
ROI-NJ celebrates New Jersey family businesses at inaugural Family Business of the Year Awards
ROI-NJ celebrated 16 New Jersey family businesses at its inaugural awards, naming MSI Plumbing & Remodeling and NRS Inc. the 2026 winners.
What Does a Human Heart Need to Grow? Scientists Found the Answer in a Bioprinted Model
Heart problems that babies are born with, called congenital heart defects, often begin developing early in pregnancy. Approximately three weeks after fertilization, the human heart is still a simple, straight tube of cells and, over the course of about five weeks, this tiny structure must undergo a remarkable transformation to reshape itself into the complex organ that eventually pumps blood throughout the body.
Apple Starts Moving Up iPhone Duo Delivery Dates
Apple has started bumping up estimated delivery dates for some customers who pre-ordered the iPhone Duo in countries such as the U.S. and Japan. In the U.S., for example, well-known YouTuber Matt Gonzalez today said his iPhone Duo pre-order initially showed a December delivery estimate, but Apple's online store now shows him an earlier delivery estimate of between November 20 and November 30. He ordered a Star White model with 512GB of storage.
Deep learning model demonstrates potential to generate an interpretable brain health biomarker from sleep electroencephalography
Ganglberger and colleagues assessed a deep learning model’s ability to derive brain health scores from electroencephalography data.
Final Fantasy 7 Revelation's Hard Mode is available from the start this time, so you won't need to replay the mammoth RPG to get to the good stuff
Final Fantasy 7 Revelation director Naoki Hamaguchi has confirmed that Hard Mode will be available to select from the beginning, unlike Remake and Rebirth.
AMD Ryzen AI Halo Review - Local-AI Powerhouse with 128 GB of Memory
The AMD Ryzen AI Halo is great at running local AI workloads, featuring a Ryzen AI Max+ 395 APU with 128 GB of unified memory in a compact form factor. It excels at handling large models, enabling tasks that most consumer GPUs struggle with. With AMD AI Playbooks, getting started is simple, allowing you to explore the frontier of AI at home.
Dizzying lineup of Galaxy Z Fold 9 devices leaks, including the Galaxy Z ‘Slide’
The Galaxy Z Fold 9 lineup looks complicated. Not only does Samsung reportedly plan to add another Fold model, but...
The RTX 5090 Isn’t 'Alive' if It Costs $10,000, No Matter What Nvidia Says
Nvidia's flagship GPU may still be in production, but that isn't saying much for the state of Nividia's RTX 50-series lineup.
The science and politics behind the panic over ultraprocessed foods
There's no doubt that the modern food environment needs to be healthier. But are ultraprocessed foods as evil as their reputation suggests?
The science and politics behind the panic over ultraprocessed foods
There's no doubt that the modern food environment needs to be healthier. But are ultraprocessed foods as evil as their reputation suggests?
Trump set to sign women's health order Melania helped shape
The order aims to close research gaps and modernize care for women, White House officials wrote on social media.
Trump set to sign women's health order Melania helped shape
The order aims to close research gaps and modernize care for women, White House officials wrote on social media.
One of the rarest GameCube consoles sells for thousands of dollars today
Like most consoles, the GameCube had a few models that were never widely released and thus command a hefty price today.
Verily Health to Integrate PacBio HiFi Sequencing With Data Platform
The multi-year collaboration will link PacBio sequencing workflows to Verily Pre to support biomedical research and AI model training.
The modal numeber of citations is zero (in political science)
I was told when I was a graduate student that the modal published research paper was cited zero times. They then when on to say that the median was one or two, while the mean depended on how good t…
PS5 "bullet ballet" game Saros gets a big update to make it both easier and harder
PS5 shooter Saros gets a big update. You can modify the game to make it both easier and harder now, and slow time to give yourself more time to think.
GM Says Apple Wallet Car Keys Coming to These Vehicles
In a late September press release that we just discovered now, GM announced that it has started rolling out Apple Wallet car key support in select Cadillac, Chevrolet, and GMC vehicle models, with additional models to follow over time. Google Wallet and Samsung Wallet will also be supported, with a related Samsung press release mentioning availability in the U.S. and Canada. GM said the rollout will occur as follows, with model years listed in parentheses.
Amazon Offers $900 Off 2026 16-Inch MacBook Pro With M5 Max Chip
MacBook Pro deals have been getting steeper and steeper over the past few weeks, and today Amazon has introduced the biggest discount yet on one model of the 16-inch MacBook Pro. You can get the M5 Max model with 36GB RAM and a 2TB SSD for $3,499.00, down from $4,399.00. Note: MacRumors is an affiliate partner with some of these vendors. When you click a link and make a purchase, we may receive a small payment, which helps us keep the site running.
The science and politics behind the panic over ultraprocessed foods
There’s no doubt that the modern food environment needs to be healthier. But are ultraprocessed foods as evil as their reputation suggests?
The science and politics behind the panic over ultraprocessed foods
There’s no doubt that the modern food environment needs to be healthier. But are ultraprocessed foods as evil as their reputation suggests?
Your Plex Server Could Be Mining Crypto for Hackers
Remote code execution is now available on non-updated Plex servers.
The science and politics behind the panic over ultraprocessed foods
There’s no doubt that the modern food environment needs to be healthier. But are ultraprocessed foods as evil as their reputation suggests?
The science and politics behind the panic over ultraprocessed foods
There’s no doubt that the modern food environment needs to be healthier. But are ultraprocessed foods as evil as their reputation suggests?
Vibe coding is turning the music gear world upside down
LLMs have led to an explosion of custom firmware and hacks for synths, samplers, and grooveboxes.
Dartmouth Health launches innovative home care initiative with help of $20M gift
With the help of a generous $20 million donation from an alumnus, Dartmouth Health has launched an innovative new program designed to meet the needs of home-bound seniors and their families, particularly those living in rural areas. The program hopes to serve as a national model for other home care programs across the United States.
How Science Is Helping Coastal Communities Build Resilience to El Niño
The current El Niño may become the strongest in modern recorded history. The naturally occurring climate phenomenon, primarily associated with persistent, high ocean surface temperatures in the central and eastern tropical Pacific Ocean, could have global-scale effects on weather and ocean conditions through 2027.
The next Call of Duty will introduce a new sub-series to the franchise
It's been five years since Vanguard - the most recent Call of Duty sub-franchise - but Activision is finally ready to develop a new one.
WA Department of Social and Health Services eyes cuts, modernization for 2027
Washington’s largest state agency is preparing for a difficult 2027 budget by pursuing two strategies at once: pulling back where it can while trying to modernize how it delivers services.
WA Department of Social and Health Services eyes cuts, modernization for 2027
Washington’s largest state agency is preparing for a difficult 2027 budget by cutting back on expenses and modernizing its services.
Medicare Advantage's next golden goose: Special Needs Plans
Chronic Condition Special Needs Plans enrollment has more than doubled since 2024.