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TRUE RX HEALTH STRATEGISTS BECOMES FIRST PBM TO BRING INSTACART HEALTH FRESH FUNDS TO EMPLOYER PHARMACY BENEFITS
/PRNewswire/ -- True Rx Health Strategists, the family-owned, pharmacist-led pharmacy benefit manager (PBM) based in Indiana, today announced a first-to-market...
Macron needs to start doing his job, political commentator says
Political commentator Joe Sweeny discusses the riots sweeping France and the legal situation facing Rep. Ilhan Omar, D-Minn., on ‘Fox News @ Night.’
A revolutionary new microscope could reveal the hidden machinery of life
Researchers have developed a revolutionary microscope that uses an incredibly powerful laser to make previously invisible cellular structures easier to see. The technology dramatically improves image clarity, allowing scientists to examine small proteins that conventional electron microscopes struggle to capture. It could eventually reveal how tiny molecular machines interact inside cells, providing an unprecedented look at the hidden workings of life.
Popular supplement combinations may carry unexpected risks, health expert warns
Clinical pharmacist Jim LaValle discusses why taking excessive amounts of vitamins and minerals can pose health risks, and how identifying nutritional deficiencies can help guide safer supplementation.
iPhone Duo orders limited to two per customer as Apple tackles scalping
Apple is limiting iPhone Duo orders to a maximum of two per customer in the US, UK, and elsewhere after...
Four advantages MacBook Pro redesign will have over current model
A big redesign is coming to the MacBook Pro next week, with at least four rumored advantages compared to current models.
From Animal Camouflage to AI: The Evolving Science of Staying Unseen
Nature’s game of hide and seek is entering the age of intelligent machines. A new article in National Science Review traces how animal camouflage, advanced materials and artificial intelligence are converging to reshape the contest between detecting an object and keeping it concealed.
After 32,000 folds, iPhone Duo's hinge serves up a big surprise
Joanna Stern's video review uses a clever custom-built tool to measure how iPhone Duo's hinge holds up after four nights of automatic folds.
Best iPhone 18 Pro accessories: Solid-state power banks, MagSafe, chargers, more
The iPhone 18 Pro has arrived and the Duo will very soon as well, so let’s scope out some notable...
Greg Joswiak talks iPhone Duo in-store availability and demand ahead of launch
Friday is iPhone Duo launch day, and there are a lot of eager customers hoping to walk into an Apple...
Here's What Apple's Apps Look Like on the iPhone Duo
With just three days to go until the iPhone Duo is released, Apple is getting ready for the launch. Behind the scenes, the App Store now has screenshots of Apple's built-in apps running on the Duo. We've seen some apps in marketing materials, but images of the ones we haven't seen give us an idea of what it will be like using the iPhone Duo day to day.
Home State Health, McCormack Baron Salazar and Urban Strategies, Inc. Announce Preservation Square Community Partnership to Support Families with Services, Economic Opportunity
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Monkeys also avoid germs after viral outbreaks
Macaques who survived the spread of a deadly disease were more wary of potentially contaminated food.
Alexis Mac Allister shines in Liverpool win over Villarreal
Alexis Mac Allister scored twice to guide Liverpool to a thrilling 4-3 victory against Villarreal in the Champions League on Tuesday.Manager Andoni Iraola made six changes to the team that defeated Br...
Giant iPhone Duo Installations Spotted at Apple Fifth Avenue
Apple is preparing what appear to be giant iPhone Duo displays outside its Fifth Avenue store in New York ahead of the device's launch on Friday, October 23. Photos from users on X show the structures on the plaza beside the glass cube. Their designs are hidden by wrapping and black covers, so it remains unclear exactly how Apple will present the device. October 21, 2026 The outdoor installations accompany a substantial retail push inside the store.
iPhone Duo's Hidden FaceTime Camera Takes 'Trash' Photos
The iPhone Duo's inner screen has an under-display front camera that's largely hidden from view. It's the first time we've seen an under-display camera on an iPhone, and it turns out there's a reason Apple hasn't used the technology before. Apple said the camera offers 1080p video recording, but didn't mention photo quality. Gizmodo said it's a 4-megapixel camera and described the photos as "low-res, washed out, and just not sharp at all".
Apple must open iPhone to alternative app stores in Australia
An Australian federal judge has ordered Apple to make sweeping changes to its App Store rules following a years-long antitrust battle with Epic Games.
INOVIO Announces Favorable Judgment in Litigation with VGXI, Inc. and GeneOne Life Science
/PRNewswire/ -- INOVIO Pharmaceuticals, Inc. (Nasdaq: INO), a biotechnology company focused on developing and commercializing DNA medicines to help treat and...
Apple Pulls Keynote, Pages and Numbers From App Store
Apple has temporarily removed Keynote, Pages, and Numbers from the App Store, just after releasing an update that added iPhone Duo support and a new Intelligent Assistant. It is not clear if the apps were removed intentionally, or if it is a bug. It is not clear if the apps were removed intentionally, or if it is a bug.
Riots leave France divided and shadowed by debt as Macron enters his final run
The tensions are festering in the street but also in a presidential race that will determine Emmanuel Macron’s successor.
Apple Reveals More Than 50 Apps That Will Be Updated for iPhone Duo
Apple today highlighted more than 50 third-party App Store apps that are or will soon be fully optimized for the iPhone Duo and its various layouts and poses.
How Small Pharmacy Expansion Will Impact CVS Health (CVS) Investors
CVS Health has been rolling out smaller pharmacy focused stores, expanding MinuteClinic sites and raising its 2026 revenue and earnings outlook, alongside new efforts in benefit transparency and women’s midlife health research. The push into underserved neighborhoods with compact pharmacies and clinics points to a tighter focus on access, operating efficiency and aligning physical sites with where prescription demand actually shows up. This article examines how CVS Health’s investment...
How Investors May Respond To PENN Entertainment (PENN) Massachusetts Slot Debate
PENN Entertainment has opposed proposed legislation in Massachusetts that would permit historical horse racing devices that function like slot machines. The company argues these terminals could shift up to US$216 million in annual gaming revenue and affect an estimated 1,074 casino jobs across the state. The company has recently reported earnings that exceeded consensus estimates, with an average surprise of 72.86% over the last two quarters. This highlights an operating profile where...
Hurricanes pose long-term health risks for vulnerable older adults
New research in the Journal of the American Geriatrics Society indicates that older adults who rely on electricity-dependent medical devices-such as ventilators, respirators, and dialysis machines-may face substantial health risks during and after hurricanes, especially in communities experiencing severe flooding.
You can still get into Macklemore’s sold-out Red Rocks Amphitheatre show for under $100
The Seattle rapper plays a sold-out show in Morrison on Oct. 22.
Apple Music's New Look is Now Live on Apple's Website
As spotted by Hidde Collee, the Apple Music page on Apple's website now has the updated branding that Apple officially introduced earlier today. Apple Music has a new black-and-white logo and app icon, with Apple doing away with the red color scheme that it previously used for the streaming music service. In a YouTube video released earlier today, Apple showed how the new Apple Music visuals were "made by sound".
iPhone Duo Reviewers Really Miss Face ID
Touch ID on the iPhone Duo might end up being frustrating for some users, based on media reviews that came out today. Multiple reviewers found Touch ID to be slow to unlock, which can be jarring coming from Face ID. According to Marques Brownlee, Apple added an intentional delay to "every single" Touch ID unlock. After you touch a finger to the side button to unlock, it pauses on the Lock Screen. If you keep your finger there, it continues to the Home Screen. It's technically smart.
Mobile science lab
Billy Roden, left, Seattle Children’s Mobile Science Program manager, takes answers to a question he posed to Rasa Conklin’s fifth-grade science class on Wednesday inside the mobile science classroom at Salish Coast Elementary School in Port Townsend. Dr. Noelle Machnick, rear, in lab coat, helped moderate the class.
Commentary: The slime machine in Ohio politics has reached a despicable new low in the 2026 election
I knew 11 years ago that our public discourse would be degraded down into unfathomable levels. The 2026 campaign in Ohio has now confirmed it beyond anything I could've imagined.
Apple Will Label Apps 'Made for iPhone Duo' in App Store
In its press release highlighting apps that have been optimized for the iPhone Duo, Apple said the App Store will label apps that are "Made for iPhone Duo". In order for an app to be optimized for the iPhone Duo, the developer needs to build it with the iOS 27.1 SDK or later. Apps optimized for the iPhone Duo fill the entire inner display, and the app's toolbar appears vertically below the status bar.
Healthcare shouldn’t be so hard; health literacy can help
OPINION — A visit to the doctor may get you a diagnosis. A trip to the pharmacist fills the needed prescription. Your health plan has all sorts of information about benefits. Healthcare. Straightforward and easy to understand, right? Eye roll. Laugh stifled.
Suspicious package reported at Omaha machine business
Authorities responded Thursday afternoon to a report of suspicious package at an Omaha business.
Is It Wrong to Try to Pick Up Girls in a Dungeon? Frontier Zero announced for PC, iOS, and Android
enish has announced Is It Wrong to Try to Pick Up Girls in a Dungeon? Frontier Zero, a new game based on the anime series Is It Wrong to Try to Pick Up Girls in a Dungeon? It will launch for PC, iO…
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.
Top Weekly Entertainment Picks
Get ready for a full weekend of headline concerts and seasonal fun in South Jersey. Hear Godsmack perform live at Hard Rock, enjoy a seasonal market with
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.
Macron slams as ‘stupid’ claims by Trump and others blaming Muslim migrants for French riots
PARIS (AP) — French President Emmanuel Macron said Wednesday that foreign leaders — including those “on the other side of the Atlantic” — are trying to exploit France's tense social climate for their ...
Apple explains why HomeView couldn’t launch until now
Apple’s HomeView was reportedly delayed significantly from its initial launch target, here’s why it couldn’t launch until now per Apple.
iOS 27.2 adds new features in six iPhone apps, here’s what’s coming
iOS 27.2 launches next week with new features for iPhone users, including improvements across six Apple apps. Here’s what’s coming.
Macron jets out of riot-torn France for Gulf trip as political pressure mounts
French President Emmanuel Macron left for Kuwait energy talks as riots raged, drawing sharp criticism from Marine Le Pen and Jean-Luc Mélenchon.
What International Business Machines (IBM) Said on Its Q3 Earnings Call
International Business Machines (NYSE:IBM) reported third-quarter 2026 revenue growth of 6% at constant currency, led by accelerating software sales, infrastructure demand and modest consulting growth. The company said operating pre-tax margin expanded 70 basis points and diluted operating earnings
Britain Politics
Britain's Prime Minister Andy Burnham looks at his Manchester bee tattoo before receiving a flu vaccination from Pharmacist Aneet Kapoor in Chorlton-cum-Hardy, Manchester, England, Thursday, Oct. 22, 2026. (Christopher Furlong/Pool
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
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.
President Trump talks data centers and staying in politics with Tricia Macke
FOX19 NOW’s Tricia Macke interviewed the president on one of the most contentious topics Tri-State residents
Kettering Health Pharmacist Receives Ohio Resident of the Year Honor
Just months after returning to Kettering Health as a clinical oncology pharmacist, Annie Weckesser has received one of Ohio's top honors for pharmacy residents.
iPhone Duo to offer Edge Light, Smart Take, horizontal Reachability, more
Apple's iPhone Duo is almost like a standard iPhone and an iPad mini in one device, but it turns out the foldable supports features previously exclusive to the Mac.
Apple Stores Will Have 'Limited' Availability of iPhone Duo for Walk-In Customers
In a statement shared with MacRumors today, an Apple spokesperson said there will be "limited" availability of the iPhone Duo for walk-in customers at Apple Stores when the device launches this Friday, October 23. Apple's full statement: On Friday morning, our teams look forward to welcoming customers at Apple Stores to experience iPhone Duo and the incredible iPhone line-up for themselves.
UTC computer science team’s AI research paper accepted to NeurIPS 2026
A research team in the University of Tennessee at Chattanooga Department of Computer Science and Engineering has had a paper accepted to the main track of NeurIPS 2026, one of the world’s leading conferences in artificial intelligence and machine learning.
Cone Health to acquire three Reidsville pharmacies
Cone Health is acquiring three pharmacies in Reidsville with the hopes of expanding affordable access, onsite vaccinations and continuing community-based care.
Trump returning to Georgia as political heavyweights flood state ahead of election
Just over a week after rallying supporters in northwest Georgia, President Donald Trump will return to Georgia on Saturday for an appearance in Macon.
tvOS 27.2 adds three new features to your Apple TV 4K
tvOS 27.2 is coming next week, bringing several new features—including screen saver upgrades—to Apple TV 4K users. Here’s what’s new.
iPhone Duo will add Reachability feature ‘later this year’
iPhone Duo launches this Friday, but there’s one software feature Apple says won’t be ready until later this year: Reachability.
Emptiness and Politics: America’s Futile Faith in Elections
Though the dissembling “Trump Era” will end with elections, America’s core problems will remain undiminished.
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.
iOS 27.2 reveals Apple’s Messages app could soon get highly requested change
iOS 27.2 hints at a forthcoming Messages app change: the ability to exclude muted conversations from the unread badge count.
More Than Athletes: How UT Health Sciences Is Preparing the Next Generation of Sports Pharmacists
As the sports pharmacy field grows, UT Health Sciences College of Pharmacy students are learning to explore this career path.
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.
CAS collaborates with Microsoft to enable faster innovation in pharmaceutical, life sciences, and chemical industries
/PRNewswire/ -- CAS, a division of the American Chemical Society, today announced the availability of CAS Connections in Microsoft Copilot. The connector gives...
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iPhone Duo 2 Prototypes Include Under-Display Face ID
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Scientists Transplanted 306 Square Meters of Wild Salt Marsh Into The World's Largest Wave Machine And Let a Simulated Extreme Storm Rip
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Britain Politics
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