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Chuck Lorre claims Les Moonves made ‘no f---ing way’ gesture at Jon Cryer’s ‘Two and a Half Men’ audition
Chuck Lorre recalls casting ‘Two and a Half Men’ in his new memoir, ‘Sitcom,’ and being told by the network, ‘We don’t want to hear the words ‘Jon Cryer.’’
Kashmir’s springs are drying up. Scientists say saving them starts uphill
Shafeeqa, a 40-year-old resident of Cherwan village in Ganderbal district, north of Srinagar in Kashmir Valley, remembers a spring that once flowed with enough force to make diverting its water toward agricultural fields a difficult task. During her teenage years, she recalls, the water rushed so powerfully that her brother was once carried along by […]
Why 2026 Is a Health Care Election
_Ypsilanti, Michigan_THE MIDTERM ELECTION IS ABOUT a lot of things: gas prices and groceries, the spread of corruption, and the future of democracy. And yet, as much as any single issue, it’s about health care. You can tell by listening to all the Democrats talking about high deductibles, drug costs, and insurance companies as they campaign around the country. Or you can tell by reading all the public-opinion surveys in which voters consistently rank health care as one of their top concerns. But if you really want to know why this is a health care election, your best source isn’t the politicians or the pollsters. It’s the people on the front lines. One of them is Raymond Rion, a family medicine physician and executive director of Packard Health, a small network of clinics spanning Ann Arbor and Ypsilanti on the western outskirts of the Detroit metro area. Packard is what’s known as a Federally Qualified Health Center, where anybody can get care regardless of income or insurance status. And like similar safety-net providers all over America, for the past decade it has benefited directly from the Affordable Care Act. “We almost went bankrupt in 2011,” Rion told me in a conversation last week, recalling how in the old days staff at Packard would work the phones furiously to get supplies and find specialists who would take referrals. Now many more patients have either Medicaid or private coverage they’ve purchased through HealthCare.gov, the online marketplace that the law created, so that the proportion of uninsured patients has fallen from around one in three to one in ten. It’s a lot easier to find referrals for these insured patients, though thanks to the infusion of paying customers Packard can do much more on its own. In particular, Rion said, the organization has opened two new branches, started a pharmacy, begun offering prenatal services, and vastly expanded behavioral health care by bringing on a half-dozen new doctors, nurses, and case workers. Now a retrenchment is underway. Coverage options on the HealthCare.gov marketplace got more expensive because Donald Trump and the Republicans refused to renew temporary subsidies that had been reducing the price of insurance. On top of that, the first cuts to Medicaid as part of last year’s “One Big Beautiful Bill” are starting to take effect. Rion told me Packard has already laid off a provider in anticipation of less revenue next year.1 Patient volume is down, he went on to explain, in part because uninsured patients sometimes avoid care altogether out of fear a single visit will lead to more treatments with more bills. And postponing care in that way can have serious medical consequences, as his colleague Ron Romero told me. “So you have somebody with diabetes, their chronic condition isn’t getting cared for,” said Romero, who like Rion is a family physician. “Their sugars rise, and they end up having other medical problems. Their kidneys start to get damaged. They start to have eye damage. They increase risk for heart attacks and strokes. . . . They end up in the emergency room.” And things are likely to get worse. Partly that’s because next year most of the remaining Medicaid cuts will take full effect, throwing more people off coverage. And partly it’s because forces that have nothing to do with Trump or Republican actions are making medical care more expensive for everyone, including those with employer insurance and Medicare. That will lead to still more people delaying or skipping care, ending up in the emergency rooms, and putting yet more cost pressure on providers. Rion wasn’t taking a position on the election or political parties, he made clear. He was just describing the reality he sees around him: “The whole system is being pressured. Nobody is immune to this stuff.” He’s right. And here’s the thing: This has all happened before. We know happens next.
Jane Leeves recalls how David Hyde Pierce rallied “Frasier” team after losing series co-creator David Angell on 9/11
Leeves remembered David Angell, who died alongside his wife in the Twin Towers attacks, as a “remarkable man” who “quietly went about the business of bettering so many lives.”
‘Boy Meets World’ star Matthew Lawrence recalls ‘dysfunction’ on ‘Girl Meets World’
‘Boy Meets World’ star Matthew Lawrence spoke to EW about the ‘dysfunction’ on the ‘Girl Meets World’ set, and his ‘strange’ experience guest-starring on the spinoff.
Red Wings Ship Out ASP; Recall JBD
On Thursday, Detroit Red Wings coach Todd McLellan discussed the lack of action defenseman Axel Sandin-Pellikka has seen so far this season. […]
Ed McCaffrey recalls favorite John Elway memory with Rich Eisen
Ed McCaffrey told his favorite John Elway memory during an interview with Rich Eisen.
Dan Houser Reveals How 9/11 Changed GTA Forever
25 years later, Dan Houser recalls how GTA’s iconic cover art style only exists because of 9/11.
Ford recalls more than 40,000 trucks and SUVs over visibility risk
Ford is recalling more than 40,000 vehicles due to a headlight issue that could reduce the driver's visibility and increase the risk of a crash.
From Business to Beluga Whales: Inside Briana Maltez’s Marine Biology Journey
Beneath the hum of filtration pumps and the rhythmic trickle of saltwater tanks, Briana Maltez is completely in her element. The Texas A&M University at Galveston marine biology major is following her lifelong love of animals—and that passion drives her pursuit for a second bachelor’s degree in a field that endlessly ignites her curiosity.As a native of nearby Sugar Land, Maltez did not initially set out toward coastal science. She initially earned a degree in agricultural business through the Texas A&M RELLIS campus in Bryan, but her subconscious fascination with ocean life grew into an unignorable question during her time there: What if? Photo courtesy of Briana MaltezThe query continued to plague her until a turning point came during a Florida trip to near the end of her first degree. Up-close encounters with marine life reignited a childhood dream and shifted her trajectory toward the sea. Yet, stepping into an entirely new field required a leap of faith. Faced with the daunting prospect of starting over, Maltez placed her trust in Texas A&M Galveston as the premier marine biology program in the state. Deciding that she would never feel satisfied unless she tried, she applied—finding the resolve to face the demanding science curriculum head-on.Any lingering doubts vanished during her first semester on the island campus. The close-knit campus environment and small class sizes allowed Maltez to build immediate connections with her professors and peers—a welcoming backdrop where her love for ocean stewardship could truly take root.“I instantly fell in love with the campus and the small classes,” Maltez recalled. “I was like, ‘Yep, I’m so happy I came here.'”Before long, Maltez found a second home inside the university’s Sea Life Facility. Designed to mirror complex, large-scale aquarium infrastructure on a manageable scale, the space offered Maltez a safe training ground to grow familiar with system maintenance and water chemistry under the tutelage of Sea Life Facility Manager Katie St. Clair. While tending to the tanks there, she grew especially fond of watching the facility’s resident clownfish breed and care for their clutches.“Katie definitely wants us to learn, ask questions, and get hands-on experience,” said Maltez. “So, it has been great having her help with getting pre-experience before doing it in the real world.”That hands-on experience quickly sparked a deeper interest in animal husbandry—the daily art of monitoring the animal’s diets, observing their behavior, and maintaining the aquarium’s overall health. Eager to turn those newfound practical skills into technical credentials, Maltez even earned certifications in life support systems and water quality management through Aquatic Animal Life Support Operators courses.Maltez’s passion soon extended beyond campus boundaries. During a summer study abroad program in South Caicos, Turks and Caicos, Maltez immersed herself in underwater field research. In addition to learning about local history and ecotourism impacts, she snorkeled daily, utilizing drones and hydrophones to record underwater bioacoustics and listen to the often-missed crackles of snapping shrimp, fish, and lobster larvae. Maltez at SeaWorld San AntonioPhoto courtesy of Briana Maltez“What you don’t realize is that there’s so many animals around you, but because they sense, you already, they run away,” Maltez explained. “I think that’s really cool to experience, because you don’t even think about that when you travel.”Yet, among all her academic adventures, a week-long course at SeaWorld San Antonio through MARB 302 stands out as a defining milestone. Camping on-site alongside fellow marine biology majors, Maltez gained behind-the-scenes access to professional veterinary and husbandry operations, building lasting friendships and even interacting with penguins in the snow.The undeniable highlight of the trip was face-to-face interaction with beluga whales. Having admired the titanic cetaceans for years, getting to learn directly from their trainers solidified her ultimate aspiration: to care for belugas and contribute to conservation research supporting wild populations in Alaska.“They are one of my favorite animals, and I had heard so much about them,” said Maltez. ”Getting to see them up close was an amazing experience.”When she is not analyzing marine environments, Maltez documents campus life through her camera lens. As a photographer for the Nautilus student newspaper, the Yell Leaders at Midnight Yell, and the Shark Scholars club, she brings the university’s passionate energy into sharp focus. With less than a year remaining until graduation, Maltez looks back on her decision to return to school with gratitude. Taking her journey one day at a time helped her push through demanding coursework, unlocking opportunities she once thought were out of reach. Today, Maltez stands as a compelling example of what happens when passion meets purpose: By trusting her drive and embracing every hands-on experience, she has transformed a second chance at college into an opportunity to dive into a career beneath the waves.
Jenny McCarthy says A-lister tried recruiting her, recalls 'Scientology stare'
Jenny McCarthy says Tom Cruise once attempted to recruit her into joining the Church of Scientology.
Michael Douglas recalls painful response from friends after cancer diagnosis
Michael Douglas says his cancer diagnosis revealed how few people in his life would check in.
‘Star Wars’ actor Alden Ehrenreich recalls disastrous ‘Spider-Man’ audition: ‘Woefully unprepared’
‘Solo: A Star Wars Story’ actor Alden Ehrenreich said he was ‘woefully unprepared’ when he auditioned to play Spider-Man: ‘If I did have a chance for that, then I think I blew that up.’
Prince Harry recalls slipping into deep depression after major life change with Meghan Markle
Prince Harry opened up about facing depression after leaving behind a stressful situation in the U.K. and moving to Canada with Meghan Markle.
Comedian Ron Bennington Recalls Early Symptoms of Stage 4 Colon Cancer: ‘Sick As I’ve Ever Been’
The radio personality is hosting a new podcast on SiriusXM, “Portcast,” where he interviews fellow comedians while in the hospital for chemotherapy.
Dallas Mavericks have recalled F Santi Aldama from the …
Dallas Mavericks have recalled F Santi Aldama from the …
Red Wings Recall High-Scoring Forward
Quietly, John Leonard is off to another productive start for the AHL Grand Rapids Griffins, and the Detroit Red Wings […]
Travis Kelce recalls early morning phone call from brother Jason that Taylor Swift called ‘f---ed up’
Everyone knows midnights are her afternoons, Jason!
Michael Douglas recalls shocking response from friends after cancer diagnosis
Michael Douglas says his cancer diagnosis revealed how few people in his life would check in.
Singer who dated Prince in the ‘90s says she couldn’t handle the musician dating around: ‘I wasn’t the only one’
Elisa Fiorillo, who dated Prince in the ‘90s and reunited with him to play in his band in the 2010s, recalled her experience being romantically involved with the ‘Purple Rain’ musician.
Recalling health policy giant Bob Blendon | Harvard T.H. Chan School of Public Health
At an event celebrating the life of the late Bob Blendon, former colleagues and students recalled him as brilliant, caring, and quirky.
Nicolas Cage says he almost ‘really lost it’ while filming ‘Face/Off’ scene
Nicolas Cage recalls how he got deep into the mind of his ‘Face/Off’ character and almost ‘really lost it’ during this one particular scene.
Michael Douglas confirms Charlie Sheen put ‘c---’ sign on Sean Young during “Wall Street” shoot
Young has recalled her rocky experience filming Oliver Stone’s 1987 hit.
Miley Cyrus reveals ghostly encounter with Dolly Parton: ‘I know she’s here with me’
Cyrus previously cried on stage during her Hollywood Bowl show while recalling Parton’s impact.
Matthew Lillard recalls thinking ‘Scream’ was ‘lame’ and he’d become a TV star
Matthew Lillard recalled a late-night shoot during the making of ‘Scream,’ during which he and his castmates were discussing their upcoming TV roles.
David Raya Reveals Thomas Frank's Message After 2020 Wembley Defeat
David Raya has recalled Thomas Frank's unexpected response to his mistake against Fulham at Wembley, revealing how the former Brentford manager backed him.
Four candidates vie to lead Coachella after turbulent year in city politics
COACHELLA, Calif. (KESQ) — After a year marked by a mayor’s resignation, controversy over a proposed data center project and efforts to recall city councilmembers, Coachella voters will decide who leads the city in the November election. Four candidates are running for mayor: incumbent Frank Figueroa, City Councilmember Denise Delgado, Francisco “Frankie” Molina and Jesus
Keri Russell recalls ‘having sex all the time’ with Matthew Rhys in disguises on set of ‘The Americans’
Keri Russell and Matthew Rhys became a couple while making ‘The Americans,’ and now Russell reveals that they were ‘having sex all the time’ in their costumes.
Todd Chrisley recalls becoming an escort at 18 after working at Cheesecake Factory: ‘I’m laying up getting my rent paid’
He kept his encounters a secret from his family.
Baby bath seats sold on Amazon recalled over deadly drowning hazard
Baby bath seats sold on Amazon are under a recall because they are unstable and can tip over while in use, posing a risk of serious injury or even death from drowning.
St. Louis Cardinals Biggest 2027 Challenge? Managing Expectations
I have been a St. Louis Cardinals fan for more than five decades and I have lived through many different eras of losing seasons, championships and everything in between. I can’t recall any of them being more unclear about what the expectations should be for an upcoming season than the one that will hopefully begin […]
F.D.A. Classifies Salad Dressing Recall to Highest Health Risk
Salata Dressings initiated the recall of its Jalapeño Avocado Dressing in August over concerns about possible salmonella contamination.
FDA recalls Gatorade in Texas over unlisted food coloring
PepsiCo recalled over 120,000 cases of Gatorade in 37 states. Is Texas on the list?
Matthew Lillard recalls thinking post-“Scream” night shoot that movie was ‘lame’ and he’d become a TV star
Around this time, he filmed a pilot that never aired.
More than 82K rechargeable hand warmers recalled over fire risk
More than 82,000 rechargeable hand warmers combined from HotHands and Gobi Heat face a recall due to overheating that poses fire and burn hazards.
Blues Recall Dylan Peterson From Springfield
2020 third-round pick brought up with injuries to Toroipchenko, Dube; could make NHL debut Tuesday against Senators
Fish product sold in Pennsylvania recalled for ‘possible health risk’
(WHMT) — The U.S. Food & Drug Administration (FDA) announced the recall of a fish product that was sold in six states, including Pennsylvania. According to the FDA, Krasnyi Oktyabr, Inc. …
Par Health recalls more IV bags on cellulose risk weeks after similar action
Par Health issued a
When 1 + 1 = 1: The Miserable Math Behind Many Media Mergers
(Welcome to the “Most Important Story of the Week”, my bi-weekly strategy column analyzing the most important (but often not buzziest) news story of the last two weeks. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. Please subscribe.) The last few issues of this newsletter have circled two topics: September’s streaming viewership and all the Paramount/Skydance/Warner Bros./Discovery merger news. I’m happy to say on the Streaming Ratings Report front, we’ll be all caught up by early next week, then the SRR will come out on a tight weekly schedule. Then, after today, I’ll have slayed my PSWbD dragon. It’s such a big story, it demanded multiple issues. With the announcement of a name (just Skydance) and executive team, though, I think we can almost close the book on this story. In terms of topics, it becomes just another studio to cover. So today, I have one last set of takes on that merger. As I’ve sat with it, reading about who was staying and who was going, a big worry crystallized in my brain, and I gotta get that take out. Plus, I still owe you a host of “ugliness” that didn’t fit in my previous “The Good, The Bad and The Ugly” takes. Let’s dive in! Subscribe Most Important Story of the Week - As Paramount Shuffles Deck Chairs, Will They Build or Consolidate? On social media—I try to avoid most social media platforms, but sometimes I end up checking in—the best joke I saw about the announcement of the new name of Skydance was from fellow reporter Claire Atkinson who pointed out… Yeah, I laughed out loud at that one. Later, though, I saw another Twitter response (that later got deleted, so I can’t shout the person out) that did give me pause. The person noted that the Titanic film made the better analogy: a super expensive project everyone in the town doubted that went on to conquer the globe. So yeah: on one hand, the image of the Titanic recalls the actual ship and its infamous end, but that clip is from a movie which proved the doubters wrong. So for all the skepticism of the latest massive media merger, one could wonder which way this one goes. Does it crash like the Titanic or rise to glory like Titanic, the movie? Either way, this deal is “Titanic”, looking at the massive debt required to close the deal, which is not going well when it comes to borrowing costs for Paramount… …or borrowing costs for Oracle. But I’ve started to get worried about another outcome: the sum of this merger will be smaller and weaker and less profitable than its former parts. In other words, one plus one won’t equal three or two, but an even smaller number. Skydance paid to take a traditional studio off the board, but they won’t really capture the upside. Let me explain what I mean, but first, let’s look at the series of news that inspired this thought. Skydance Sets Its Leadership Team As soon as the Paramount-Skydance-Warner Bros.-Discovery merger closed, the new leadership team announced a new name—Skydance, which I’ll use going forward—and a new executive leadership team. You’ve probably read through all the executive shuffling, but if you haven’t, here’s a quick, incomplete summary, in rough order of importance: Mattel’s CEO Ynon Kreiz—who previously ran Maker Studios—joined as co-CEO with David Ellison. HBO/HBO Max’s Casey Bloys will stay and run streaming. Former head of streaming for Paramount-Skydance Cindy Holland—who was also at Netflix—will depart. The former heads of Warner Bros.—Pam Abdy and Mike De Luca—are out. The film studios will be run by Dana Goldstein and Josh Greenstein. George Cheeks of Paramount will run Skydance TV, controlling all the TV production units. In comic book news, the DC films will still be run by Peter Gunn and Peter Safran. Lastly, the head of CNN, Mark Thompson, will stay in place. Let’s quickly opine on the particulars before diving into the broad ramifications. 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… Who I like and dislike in their next gigs… Why I think this consolidation will likely leave Skydance worse off… The math behind which mergers succeed and which don’t… A lot more ugliness in this merger… And a whole lot more... ...please subscribe! We can only keep doing this great work with your support.
JD Bertrand recalls mentorship from Chiefs LB Drue Tranquill
During his interview with @EdEastonJr, Atlanta Falcons linebacker JD Bertrand recalled mentorship from Kansas City Chiefs linebacker Drue Tranquill
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.
Nicolas Cage says he almost ‘really lost it’ while filming “Face/Off” scene: ‘Am I really in prison?’
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What the passage of Proposition 5 would mean for recall elections
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Michael Douglas recalls conversations with Rob Reiner about having sons with ‘serious drug issues’
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Pacific Health voluntarily recalls Baby Magic Tea for containing alcohol
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Pacific Health voluntarily recalls Baby Magic Tea for alcohol
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