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SpaceX turns a profit after a string of losses as its satellite and computer leasing businesses soar
SpaceX reported a bigger quarterly profit than expected Tuesday as its satellite communications operations and its business of leasing computing power to other companies boomed.
Experts Reveal How MS Can Be Misdiagnosed Amid Christina Applegate’s Surprising Health Update
Christina Applegate is searching for answers after learning that she was misdiagnosed with multiple sclerosis (MS) five years ago — and medical experts say several conditions can be mistaken for MS, m...
Investors are piling into retail real estate. This Wheaton deal shows why.
Local real estate investment firm Core Acquisitions flipped the Rice Lake Square shopping center for $52.8 million just two and a half years after buying it.
Feds hold back an additional $1.2 billion in California Medicaid reimbursements
In May, the administration held back $1.3 billion in Medicaid reimbursements to California over concerns about "fraudsters" in the state's hospice and in-home care programs.
Michigan State basketball forward Cam Ward to play vs. UConn
Michigan State forward Cam Ward set to play in exhibition vs. UConn
Android 17 QPR3 Beta 2 for Pixel rolling out with 21 fixes
The Android 17 QPR3 preview ahead of the March 2027 launch continues today with Beta 2 for Google Pixel devices....
Hackensack Meridian Health signs definitive agreement to acquire Hunterdon Health, commits $230M
Hackensack Meridian Health has signed a definitive agreement to pick up Central New Jersey’s Hunterdon Health, a $230 million deal that would grow the state’s largest health system to 19 total hosp | The announcement did not outline a potential timeline for the merger, which would add a nineteenth hospital to New Jersey's largest health system.
Nigeria confirms an Ebola case in Abuja as a woman arriving from Uganda tests positive
Nigeria is the latest country to report an Ebola case as the outbreak spreads across the region. Kenya confirmed its first case earlier this month and has since recorded nine infections.
Democrats fear slippage with Black voters makes Michigan Senate race feel ‘far closer than it should’
Michigan's Senate race could decide control of the chamber — and it may come down to Black voters in Detroit and Flint. Where do you think the race stands?
Opry Entertainment Group to retire General Jackson Showboat after 41 years
Opry Entertainment Group has decided to close down the General Jackson Showboat at the end of 2026. It's been a Nashville gem for 41 years.
How Is Imanol Alguacil Improving Olympiacos
Imanol Alguacil has revitalised Olympiacos through tactical ball retention and defensive stability, securing vital victories while maximising squad depth to narrow the gap at the summit.
Halloween fun with a slice of science
Halloween can be many things: spooky, enchanting, fun, creative, mysterious and…scientific? That last word is what Walking Mountains Science Center hopes to bring to light when kids and families attend Fright at the Museum on...
Police: Robbery, homicide investigation underway at business along Dixie Highway
Officers are investigating after a man was found dead inside a business along Dixie Highway, according to Fairfield police.
Nonpartisan coalition of religious leaders plans to counter voter intimidation on Election Day
The diverse, multifaith group is training all the way through the end of October online and in person learning de-escalation techniques and equipping themselves with knowledge of local laws and resources.
Scientists Find 46,000-Year-Old Bone Fragments in a Cave, Leading to Groundbreaking Discovery
Six ancient bone fragments found in a Spanish cave belonged to a male Neanderthal, and their well-preserved DNA could reveal new details about his life
Women's college basketball preseason AP poll: South Carolina leads the way, with UConn and USC trailing behind
Dawn Staley and South Carolina once again reign above the rest of the pack.
How Democrats Might – or Might Not
Just a few months ago, it didn’t look feasible for Democrats to flip control of the U.S. Senate. Now it’s a real possibility – and this is how the party could get there. It’s all about the math. Today, Republicans control the chamber, 53-47. If Democrats can hold all four of their vulnerable seats,
“Crystal Lake” showrunner complains about not showing nudity: ‘That’s America’
“You can give the kids the violence, but God forbid they see some breasts.”
USA TODAY Sports Super 10 Georgia high school flag football rankings, Week 5
There was little movement in Georgia's flag football rankings this week. See which teams are in this week's Super 10 rankings.
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.
Jason Segel, Kayla Radomski marry at SoCal's Huntington
Actor Jason Segel and dancer Kayla Radomski are husband and wife. The pair celebrated their marriage at SoCal's sprawling Huntington in San Marino.
Blake Griffin: Clippers Haven’t Honored ‘Lob City’ Team
Griffin said the Clippers releasing Chris Paul was “disappointing.”
Antonio Miguel Cardoso to Leave Olympiacos
Olympiacos have severed ties with their football director, Antonio Miguel Cardoso, following an intense transfer window.
Earn up to $4,300 in travel with the latest Capital One Venture X Business card offer
This Capital One Venture X Business card welcome bonus is more valuable than any previous offer for this card.
Former Netflix and Tubi Producer To Launch Shortee, A Vertical Streaming and Gaming App
Nelson Moses Lassiter, an Emmy-nominated producer known for his work on Netflix’s major international hits and for creating original films at Tubi, is launching his venture. Shortee, a mobile entertai...
COMMENTARY: Analyzing the perplexing South Carolina Gamecocks
How can Tennessee avoid disaster in Columbia on Saturday?
Grounded 2: 100 Reasons to Run in the Rot and Ruin Update
The Rot and Ruin Update expands Grounded 2 with a new area to explore, dangerous creatures to face, another Buggy to saddle up on, and more:
EA Sports Announces Return of 'Fight Night' Boxing Video Game, 'The Fight Is Never Over'
Retro gaming fans were given a treat on Tuesday.
Milwaukee Bucks sign Pete Nance on a two-way contract
The Milwaukee Bucks rounded out their 2026-27 regular season roster by signing Pete Nance to a two-way deal.
JPMorgan Chase & Co. Has Lowered Expectations for Flutter Entertainment (NYSE:FLUT) Stock Price
JPMorgan Chase & Co. decreased their price target on Flutter Entertainment from $114.00 to $110.00 and set a "neutral" rating on the stock in a research note on Tuesday.
TENNESSEE LADY VOLS VOLLEYBALL: Top 10 showdown on the horizon
Food City Center will host a top-10 matchup on Wednesday when the No. 9 Tennessee volleyball team welcomes No. 4 Kentucky. First serve is scheduled for 7 p.m. ET and will be televised on SEC Network.
WATCH: Conversations on how Formula 1 is transforming business, technology, media and culture during Grand Prix Week in Austin, Texas.
On October 22 at 6:50pm CT, tune in to conversations on the business of Formula 1, the technology redefining competition and the sport's growing influence across media and culture during Grand Prix race week in Austin, Texas.
One Stat in Political Ads May Be Telling
Less than $1 in every $100 spent by Republicans mention 'Trump'
Philadelphia Phillies Trade Prediction Lands 2X All-Star Outfielder
The Philadelphia Phillies are expected to be active on MLB’s trade market this offseason after a disappointing-ish end to the 2026 campaign. There has been a lot of speculation about who could be moved from the Phillies’ roster, but Dave Dombrowski will be thinking about making additions to the roster as well, and a solid […] The post Philadelphia Phillies Trade Prediction Lands 2X All-Star Outfielder appeared first on HEAVY.
Groundbreaking to expand healthcare options in Folsom
Golden shovels and a lighted Folsom sign highlighted the ceremonial groundbreaking of a new comprehensive care center under construction in Folsom.
Falcons’ Tua Tagovailoa Faces Uncertain Future After Andy Dalton Signing
The Atlanta Falcons made a pair of quarterback roster moves on Monday. No, neither of them directly involved Tua Tagovailoa, Atlanta’s current backup QB. The fact that the moves happened at all, though, raised questions about Tua’s future with the Falcons. Falcons QB Moves The Falcons chose to sign free agent QB Andy Dalton, the […] The post Falcons’ Tua Tagovailoa Faces Uncertain Future After Andy Dalton Signing appeared first on HEAVY.
Report: Edvinsson and His Agent Finally Met With Horcoff
Edvinsson, his agent and Shawn Horcoff finally sat in the same room this weekend. #RedWings
PENN Entertainment (NASDAQ:PENN) Stock Price Target Lowered at JPMorgan Chase & Co.
JPMorgan Chase & Co. lowered their price objective on shares of PENN Entertainment from $27.00 to $24.00 and set an "overweight" rating on the stock in a research report on Tuesday.
Dan Campbell Delivers Encouraging Kerby Joseph Injury Update
Dan Campbell says he expects Kerby Joseph to play for the Detroit Lions this season, but the All-Pro safety still has no return timeline.
Larry Gies Pledges Another $100 Million To His Namesake Business School
Larry Gies welcomes Illinois business majors during a signing day ceremony at Gies College of Business at the University of Illinois Urbana-Champaign. (Photo by Fred Zwicky / University of Illinois Ur...
Everton's Right-Back Conundrum Ahead of Arsenal
Everton are preparing to face Arsenal in the Premier League, and David Moyes could have a decision to make at right-back.
How 800 Pound Gorilla became the biggest indie animal in comedy
800 Pound Gorilla marks 10 years of backing comedians including Jim Jefferies, Bill Burr, Nikki Glaser, Leanne Morgan, Patton Oswalt and Chad Daniels.
Could Reds Snag Outfielder From Division Rival?
The Cincinnati Reds might have an opportunity at improving their defense.
John M. Williams on hunting rights, wolves and the urban-rural divide
Colorado hunter, angler and founder of Colorado Wolf Tracker, John M. Williams, joins The OpEdge to discuss Amendment 83, wolf reintroduction and the growing divide between urban and rural Colorado. Williams tells host and deputy opinion editor Antonio Olivero why he believes protecting hunting and fishing rights is essential to wildlife conservation, what he sees […]
Is This a Make-or-Break Year for Amy Williams?
Amy Williams has spent a decade at the helm of Nebraska women's basketball. Her teams have made the NCAA Tournament more often over the last five years, but she has only made the second round once.
Bucs K McLaughlin Makes NFL History in Week 6 Loss
The Tampa Bay Buccaneers have enjoyed some consistent placekicking from Chase McLaughlin since signing the journeyman back in 2023. On Sunday, he etched his name further in the all-time NFL record books.
The Inevitable And Unavoidable Dylan Garand Watch
No matter how you shake it – or bake it, for that matter; your call not mine – Dylan Garand must remain in our critical crosshairs.
How to watch the 2026-2027 NBA season: What streaming services do you need?
The national streaming lineup remains the same, but local broadcasts are a hot mess.
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.
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