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Letters: Supreme Court’s decision on voting by mail is clearly political
Also: Usurping control | Environmental laws | Fiscal responsibility | USS Lincoln | Costly disaster. Mercury News reader letters to the editor for Aug. 30, 2026.
AI Provides Mental Health Support For Those In The Aftermath Of Natural Disasters
People often need mental health support after natural disasters. Human-based resources are scarce and costly. AI can be a viable option. Here's how. An AI Insider scoop.
Messi on target again but Miami downed by Columbus
Lionel Messi scored a brilliant equalizer but could not prevent Inter Miami suffering a costly 2-1 defeat to Columbus Crew in Major League Soccer on Sunday.But Messi's 21st goal of the regular season proved to be in vain as Crew dug deep to frustrate Inter Miami for long periods.
Giants Officially Eliminated from Playoff Contention
Arizona’s Labor Day victory seals a fifth straight October without San Francisco, leaving Buster Posey to navigate a costly roster rebuild after a season defined by failure.
deGrom’s Late Collapse Clouds His Future With Rangers
Jacob deGrom faces an uncertain Texas Rangers future after a costly late-season slide, forcing his payroll-strapped team to weigh his veteran leadership against a massive contract.
Adem Bona Injury Could Open Up an Opportunity for Others
With a costly injury to the bench, the Philadelphia 76ers must look to their recent signings for help.
Analysis-Trump's diesel price relief efforts grow costlier as election nears
By Jarrett Renshaw and Leah Douglas Oct 23 (Reuters) - With the November midterm elections fast approaching, President Donald Trump is throwing an array of costly and politically fraught solutions
Back-To-School Bargains Or Scams? Better Business Bureau Helps Missouri Families Spot The Difference (LISTEN)
Back-to-school shopping can put a strain on family budgets, and scammers know it. Matt Pilger talked with Khesha Duncan of the Better Business Bureau in Columbia about finding real deals and avoiding costly scams. Share this:
Memphis Grizzlies Face Risky Walter Clayton Jr. Decision
Walter Clayton Jr. could be one of the Memphis Grizzlies' final roster cuts, but moving on from the second-year guard could prove costly.
The Rear-Seat Entertainment On A Jeep Grand Wagoneer Costs More Than iPads For The Whole Family
Jeep feels justified in charging extra for re-seat entertainment on its costly Grand Wagoneer. Families may have a better opportunity to consider.
Nadiem Amiri takes responsibility after costly penalty miss against Frankfurt
Nadiem Amiri has taken responsibility for his missed penalty after Mainz fell to defeat against Eintracht Frankfurt.The midfielder had the chance to bring Mainz level from the spot, but failed to conv...
In 12 years, Triangle man missed only 1 health insurance payment. He lost coverage
A mistake setting up autopay proved costly for this Morrisville family. Here’s what happened — and how you can avoid it.
I'm a real estate agent building an ADU. I still made these costly mistakes.
Even for a real estate agent, Shalini Karnani Bonjour says building an ADU has been hard. Here are the biggest mistakes she made and lessons learned.
I'm an airline employee who flies for free, but there's a big catch
I've flown to places like Machu Picchu and the Great Wall of China on a whim, but I sometimes get stuck overseas or have to buy a costly ticket home.
Waldo businesses broken into this week say damage outweighs what was taken
Multiple businesses in Kansas City's Waldo neighborhood were broken into earlier this week. While the thief did not make off with much, the damage left behind was costly.
A $100,000 Science Prize Could Leave His Social Security Checks Intact, but Still Raise His Tax Bill
A $100,000 honorary science prize sounds like a clean windfall, but for a retiree on Social Security, the tax math that follows can turn a moment of recognition into a costly surprise.
NFL Drops Hammer With Punishment Over Denver Broncos Game
The NFL has stepped in with costly discipline over an in-game altercation involving Denver Broncos head coach Sean Payton. The post NFL Drops Hammer With Punishment Over Denver Broncos Game appeared first on HEAVY.
Florida State’s Third-Down Failures Prove Costly Against SMU
Florida State’s third-down failures proved costly against SMU, as execution issues on both sides helped turn opportunities into a 27-24 loss.
Three Takeaways from Packers 10-Point Victory vs. Cowboys
Jordan Love overcame costly drops to spark a three-game win streak for the Green Bay Packers.
Steelers facing tough decision after offensive line’s disastrous start
Aaron Rodgers is taking the hits as the Pittsburgh Steelers search for answers after protection breakdowns, four sacks and costly turnovers exposed major concerns along their offensive line.
Detroit businesses face costly repairs after tornado tears through east side
Who Will Win the Midterms? Republicans Are Reeling.
The party is putting up a costly defense of states and districts that President Trump won easily in 2024. And in places like Georgia, strategists wonder if it’s too late.
Used Toyota Yaris costs more than ride-hailing services
Buying a used Toyota Yaris was costly compared to relying on Uber and Lyft. The analysis highlights Uber's competition with car ownership.
How myth-busting science changed cerebral palsy
Research from Adelaide continues to play a major role in changing the world's understanding of cerebral palsy, tracing its causes back to genetics and reducing costly litigation against obstetricians. ...
A Kelvin wave is about to hit California
El Niño's opening storm has already exposed a costly gap in California's coastal cover – worse may be coming
Trump orders Pentagon to scale back joint exercises with South Korea
Trump said in a social media post that the exercises slated to begin this week are costly and “send a signal that is totally inappropriate and hostile” to North Korea, which he said “has been unthreatening and respectful” while Trump has been in the White House.
Building the Business Beat from the Ground Up
With the U.S. economy facing the most complex and fast-changing environment in recent history, the business beat has never been more vital in newsrooms tasked with distilling a constellation of forces for local communities. Costly tariff policies, labor crises tied to immigration enforcement, and breaks in the global supply chain are testing both local businesses...Read More
The Smart Money Lessons On College Football Season So Far
Smart Money Lessons: The biggest betting lessons college football has taught us so far, from sharp reads and market moves to costly mistakes.
Auburn Fought Back Against Florida. Then Everything Fell Apart
Auburn football's 44-39 loss to Florida turned on a disastrous third quarter as the Gators scored 17 unanswered points after a 17-17 tie. Alex Golesh's Tigers showed fight behind Byrum Brown, but offensive struggles and defensive breakdowns proved costly in their SEC opener.
Pickleball facility franchisor files for bankruptcy as founder acknowledges business mistake: 'I own it'
The Picklr's Chapter 11 filing stems from costly lease guarantees on about 40 franchise locations as an investor group commits millions for restructuring.
Amazon's $220 billion AI bet tests the limits of its empire
Amazon's $220 billion AI buildout is draining cash as power shortages, costly Nvidia servers, and construction challenges pile up.
Trump admits 'contractor error' on Lincoln Memorial Reflecting Pool
For the first time, Trump admitted there was a construction error on the Lincoln Memorial Reflecting Pool, which is seeing another round of costly renovations.
CT manufacturing suppliers face costly cybersecurity rules to keep defense business
Connecticut defense suppliers like Windsor’s NE-XT Technologies are still investing in cybersecurity despite the Pentagon’s pause on CMMC audits.
3 Things To Learn From Newcastle 2-2 AFC Bournemouth
Late defensive lapses haunt the Cherries despite Alex Scott’s midfield masterclass and a defensive clinic from Adrien Truffert. Marco Rose must solve the squad's costly inability to close out games when the going gets tough.
Harrison small business begins cleanup after historic flooding, faces costly damage
After historic flooding last week, many businesses and homeowners along the Whitewater River are still cleaning up the damage left behind.
N.C. State QB CJ Bailey takes positive approach after costly Vanderbilt fumble
The third-year starter says the team has showed him support to help him move forward for Saturday's visit from Appalachian State.
Carnell Tate Not Letting First-Half Blunder Ruin Historic Day
The rookie receiver overcame a costly turnover to deliver a dominant 145-yard performance, signaling a new era of offensive consistency for Tennessee despite a narrow loss.
Three Takeaways from Packers 17-14 Win vs. Buccaneers
Evan Williams’ late-game heroics saved Green Bay from costly turnovers, securing a gritty victory despite a revamped offense and a devastating wave of defensive injuries.
The GOP counts on farmers' votes. As a costly harvest season raises concerns, Trump heads to Kansas
Rising fuel prices coinciding with harvest season are frustrating farmers across the Midwest and raising concerns for Republicans ahead of the midterm elections.
Oklahoma attorney says legal marijuana businesses face years of delays and costly shutdowns
An attorney for several Oklahoma marijuana businesses say delays of up to two years and shutdowns over minor inventory errors are pushing legal operators out of business.
Hospitals are selling their real estate. The deals may prove costly
Health systems are selling hospital real estate to raise cash for operations and growth, but higher rents and tighter oversight add new pressure.
Ollie Gordon's Costly Penalty: 1 Powerful Lesson From Jeff Hafley
Ollie Gordon gave Miami Dolphins fans a serious case of déjà vu - a promising start, a spark on offense, and then one moment of frustration derails everything. This time, something changed. The penalty didn't get brushed aside. The coach didn't shrug. The standard finally snapped into place, and every fan watching felt it, recalling […] The post Ollie Gordon's Costly Penalty: 1 Powerful Lesson From Jeff Hafley appeared first on Stadium Rant.
Guardant Health Faces a $245 Million Patent Judgment, But Its Newer Tests Could Offer Protection
Guardant Health, Inc. (NASDAQ:GH) faces a costly legal setback after a US court ordered the cancer-testing company to pay more than $245.2 million in a DNA-sequencing patent dispute. The final judgment upheld a 2023 jury verdict finding that Guardant willfully infringed two DNA-sequencing patents asserted by TwinStrand Biosciences and the University of Washington. The financial […]
Orioles news: Yankees get embarrassed in Game 1
The Yankees nearly got no-hit and committed a costly baserunning blunder in a Game 1 loss to the Rays.
D4 Supervisor Alan Wong seems victory bound
Third party spending evaporates after a costly primary.
Supreme Court kicks off new term with major climate case
The Supreme Court returns for its new term on Monday, and oral arguments in a major case over the fate of a costly climate change lawsuit brought by Boulder County, Colorado, will kick off a term set to feature several blockbuster legal battles. Suncor Energy v. County Commissioners of Boulder County will decide whether a […]
Local sports hosts slam convoluted, costly Minnesota Wild game-broadcast logistics
If you want to watch Minnesota Wild games this season, you’ll have a few hoops to jump through. That’s the story for many NHL and NBA franchises this season, as the ripple effects of the demise of Main Street Sports Group and FanDuel Sports Network continue to be felt. For the Wild, it works like…
Astros Waste Early Opportunities in 4-1 Loss to Giants
It was a costly night in the bay. Not only would Houston lose by a score of 4-1, but they’d also witness an early exit from Jose Altuve who was hit in the left foot on an errant pitch from Carson Whisenhunt during his first AB. Nick Allen would replace Altuve as a result. […]
Jays Lose To A’s
Blue Jays 5 A’s 6 I wanted to title this ‘Bad Pitching, Defense and Hitting Leads to a Loss’ but that’s too many words. A bad moment on defense, in the first inning, turned out to be very costly. Dylan Cease was having a rough time in the first. A walk to Henry Bolte, who […]
Prediction markets take a swing at hedging for US small businesses
By Suzanne McGee Aug 28 (Reuters) - Mark Murrell, founder of Get Maine Lobster of Portland, Maine, has an irritating business problem that he has been struggling to solve: offering discounts is costly and, well, "it feels so boring." For International ...
Islanders 4 (EN), Maple Leafs 1: Costly but gritty win
The Islanders pulled off an impressive 4-1 win in Toronto despite losing two forwards for most of the game, with both Cal Ritchie and Matias Maccelli limping off to destinations unknown in the first period. Ritchie was the first to leave, on his first shift, but he was at least able to skate off after […]
Argonne develops real-time AI monitoring for an advanced nuclear reactor component
Argonne National Laboratory researchers proposed an AI-powered monitoring system that can spot blockages in the heat exchangers of molten-salt-cooled reactors in real time, helping prevent costly shutdowns and improve reliability for next-generation nuclear energy.
Former Colorado WR Jimmy Horn Jr. waived by Carolina Panthers
The Carolina Panthers waived wide receiver Jimmy Horn Jr. following a costly muffed punt in the season opener.
Expert Available: How Health Systems Can Help Address America’s Clinical Trial Bottleneck
A recent New York Times opinion essay argues that one of the greatest obstacles to developing new treatments is no longer scientific discovery, but the costly, complex and slow-moving system for testing those discoveries in people. The article also raises concerns that these challenges are driving more clinical research overseas. Adam Samson, president of the Advocate Health National Center for Clinical Trials (NCCT), is available to discuss how large, integrated health systems can help a
Defeated by physics
The Pentagon's $3.2 billion bet on space-based boost-phase missile defense ignores basic orbital dynamics, offering no real protection while fueling a costly, destabilizing arms race in space.
This week in health care policy: October 16–23, 2026
Medical innovation FDA approves several innovative treatments. Last week, the FDA granted accelerated approval to GSK’s Jemperli for certain untreated cancers with a specific DNA defect. The treatment will eliminate the need for costly alternative treatments such as surgery, radiation, or chemotherapy, which are known to cause lasting health problems. The FDA also approved GSK’s […]
Costly Healthcare Mandates Need Greater Scrutiny » CBIA
Connecticut has earned a national reputation as one of the most healthcare mandate-heavy states in the country.
Chinese team achieves fourfold leap in fuel-cell power
The proton-transfer breakthrough could improve hydrogen vehicles and space systems, while reducing the use of costly platinum.
What was Austin Wells thinking on costly Yankees baserunning play?
In a measured tone, Austin Wells talked about his decision to stretch a double into a triple in ALDS Game 1.
92% of Health Providers Want Patients to Prepay
Americans are being asked to pay for costly medical procedures up front. Roughly 92% of U.S. health providers this year are either encouraging prepayment,
Chargers Keys to Victory Against Raiders in Week 2
The Chargers have three clear keys to beating the Raiders: keep Justin Herbert upright, limit Brock Bowers if he’s able to play and avoid costly turnovers. After the Week 1 loss to Arizona, Los Angeles needs to play a cleaner, more consistent game.
How scientists achieve simulated outer space conditions on earth: The tower in Germany where gravity takes a break
Conducting experiments in space is costly, but on Earth there are facilities where they can be done more economically. The most outstanding is in Bremen.
Yankees' Errors Prove Costly in Game 2 Loss to Rays
The New York Yankees fell to the Tampa Bay Rays in Game 2 of the ALDS despite Cam Schlittler taking the mound.
Carnell Tate's Breakout Overshadowed by Offensive Woes in Titans Loss
While Carnell Tate neared a career milestone, Cam Ward’s turnovers and a costly fumble stalled Tennessee’s momentum, gifting Derrick Henry a triumphant revenge game in Baltimore.
Top takeaways from JD Vance town hall: Costly gas, DC corruption, immigration hot takes and the war
JD Vance defended Trump administration policies on gas prices, Iran's nuclear program, and H-1B visas while blasting Abdul El-Sayed at a CBS town hall.
A data center in Denmark gives away heat that data centers often waste. It runs water from the city's heating network through its cooling units and into heat pumps that raise it enough to fill the radiators of 11,000 homes
As data centers consume ever more power, one facility in Denmark shows how to turn a costly cooling problem into a heating solution for thousands of households.
Drew Petzing Failed the Lions When They Needed Him Most
The Lions’ defense was awful, but Detroit’s offense deserves plenty of blame, too. Missed opportunities, costly penalties and questionable play-calling turned a winnable game into a brutal loss.
Video: Opinion | A Doctor Weighs In on the Health Tracking Craze
If a fitness enthusiast like Joe Rogan wants to scan his body ad nauseam to track his wellness, that’s fine, says Dr. Rachael Bedard on “The Opinions.” But using those scans to look for medical abnormalities can lead to costly, potentially harmful follow-up tests.
The GOP counts on farmers' votes. As a costly harvest season raises concerns, Trump heads to Kansas
Rising fuel prices coinciding with harvest season are frustrating farmers across the Midwest and raising concerns for Republicans ahead of the midterm elections.
9 Of The Most Expensive Science Experiments Of All Time
Visiting outer space, exploring the ocean deep, and learning more about humanity are costly endeavors. Here are some of the most expensive science experiments.
The 5 AI Scaling Mistakes That Could Derail Your Business
Here are five costly mistakes businesses make when scaling AI, from runaway costs and weak governance to poor accountability plus how leaders can avoid them.
House committee subpoenas Oracle’s Ellison about costly veterans health records project
Lawmakers in both parties are fed up with the tech firm’s handling of the decadelong effort to update VA medical files.
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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