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Faces cut out of Las Vegas campaign signs in political vandalism
Campaign signs for three Las Vegas candidates were vandalized near Cactus and Jones with faces cut out, as Metro Police report no incident was filed.
Nebraska Health Care Foundation gives Omaha caregiver a car, ending her transit struggle
A surprise gift gives an Omaha caregiver her first car in two years, ending her transit struggle.
Wipes Do Not Belong In Pipes
The City of McAllen is calling on residents to stop flushing wipes and other non-flushable items down the toilet. Products labeled “flushable” can still cause serious problems in the wastewater system, contributing to blockages, equipment damage and costly repairs that can be prevented with proper disposal.
Browns DE Jared Verse Shut Down Deshaun Watson Party Invite
Browns star defensive end Jared Verse had a key reason for not attending Deshaun Watson's team party. The post Browns DE Jared Verse Shut Down Deshaun Watson Party Invite appeared first on HEAVY.
Maine Department of Health and Human Services will hold public hearing on Prime Healthcare
Democratic Representative Julie McCabe requested the public hearing. She represents Lewiston, home to Central Maine Healthcare's flagship hospital.
UW Health doctor says diabetes should not sideline young athletes
MADISON, Wis. — A UW Health doctor says Type 1 diabetes does not have to keep young athletes from participating in the activities they enjoy.
UPMC Health Plan's Food as Medicine Pilot for Members With Diabetes
The pilot pairs grocery stipends and community health worker support with members who have unmanaged diabetes and unmet social needs.
Political scientist explains why race, not class, is at the heart of America’s 'democratic crisis'
As the United States celebrates its 250th anniversary, a new book examines America’s “racial hierarchy” and how it shaped the nation’s power structure.
Georgia’s Five-Star QB Commit Visits Michigan as Underwood Sits
Georgia's five-star quarterback commit visits Michigan days after Bryce Underwood lost the starting job. #GoBlue
Who is Nathan Fielder? A guide to his shows including 'The Rehearsal'
Nathan Fielder, who's behind the Elizabeth Holmes doc 'You Can See Everything,' is well-known to comedy fans for his docuseries 'The Rehearsal' and 'Nathan for You.' Here’s a primer on the origin and rise of Fielder.
Everything to know about Elizabeth Holmes doc 'You Can See Everything'
How much can you really see in Nathan Fielder and Lance Oppenheim's 'You Can See Everything' documentary about Elizabeth Holmes? At 2 hours and 54 minutes, there's a lot there, and yet still so many questions left unanswered.
Kristin Dietzel focuses on business growth, access in run for Dubuque County supervisor
Watch KCRG-TV9's full interview with Democratic candidate for Dubuque County supervisor Kristin Dietzel from October 2026.
Japanese Scientists Find Method to Support Sustainable Polyester Recycling
The process uses a supercritical carbon dioxide treatment.
Dr. Small: The Science Behind Falling in Love
Dr. Small: The Science Behind Falling in Love
Joel Klatt says Big Ten-SEC football challenge is imminent
The Big Ten and SEC run college football, but as the sport tries to chart its future, the two sides haven’t found much in common. Until now? After an exhausting period of negotiations, brinksmanship, and fan unrest, college football is moving towards a 24-team College Football Playoff. The Big Ten had held out against the…
Monument Health expands diabetes, endocrine care in Rapid City
Monument Health opened a new 26,000-square-foot Endocrinology and Diabetes Education clinic at 855 Omaha St. in Rapid City with 35 exam rooms.
Apple Will Label Apps 'Made for iPhone Duo' in App Store
In its press release highlighting apps that have been optimized for the iPhone Duo, Apple said the App Store will label apps that are "Made for iPhone Duo". In order for an app to be optimized for the iPhone Duo, the developer needs to build it with the iOS 27.1 SDK or later. Apps optimized for the iPhone Duo fill the entire inner display, and the app's toolbar appears vertically below the status bar.
Apple will label apps that are ‘Made for iPhone Duo’
A new Duo badge will appear across the App Store.
Henrico Business Watch: Business license filings Oct. 15-21, 2026
Henrico County reported the following business license filings with start dates during the week. The filings are listed alphabetically by business or trade name, followed by a registered address and business industry classification. Carlyle Temp Agency LLC, 4112 Townhouse Road, Apartment F, Henrico – Employment agency. MJ Henley Powerwashing LLC, 4048
Why we’re still so obsessed with Elizabeth Holmes
You Can See Everything, a documentary about the disgraced biotech company founder Elizabeth Holmes, has enjoyed a record-breaking opening in the US. It is a testament to how fascinated we remain by the convicted fraudster, but what is behind the enduring appeal? US technology editor Blake Montgomery tells Madeleine Finlay why Holmes continues to fascinate us, and reflects on whether the Theranos scandal has had a permanent impact on Silicon Valley
North Pullman rehab effort touted as ‘history making’ has stalled
Six years after taking on 30 row homes north of the historic railcar factory, a developer still has at least 20 sitting boarded-up and unoccupied.
Elizabeth Holmes: Why are we still fascinated by Theranos fraudster?
'You Can See Everything' raises all sorts of questions about truth, lies and documentary filmmaking, but it skirts the most obvious mystery: In a world full of con artists, fraudsters and liars, why can't we quit Elizabeth Holmes?
State allocates $32M in ongoing effort to boost healthcare workforce
The funding is part of a broader state effort to increase staff recruitment and retention in healthcare facilities.
Trump's health care Hail Mary won't fool anyone
Does President Donald Trump think voters have forgotten he's the architect of the destruction of women's health care in the United States?
Proms, parties and gender politics: amazing photos from American dancefloors – and what they tell us about a changing nation
From George Balanchine to the Rockettes, the US magazine regularly ran lavish photo spreads dedicated to dance, with the myriad ways people moved their bodies holding up a mirror to the changing times
Clarivate Demonstrates Global Demand For AI-native Web Of Science Research Intelligence
Clarivate Plc (NYSE: CLVT), a leading global provider of transformative intelligence, today announced that more than 100 institutions across 25 countries and regions have adopted Web of Science Research Intelligence, highlighting growing global customer demand since the platform launched in May 2026.
Burning through Türkiye's GDP: The high cost of fossil fuel PM2.5 pollution on public health – Centre for Research on Energy and Clean Air
Türkiye’s reliance on fossil fuels is generating massive air pollution health costs both within the country and throughout the region. This report finds that fossil fuels account for more than half (52%) of Türkiye’s population exposure to PM2.5 air pollution. The cumulative health impacts are estimated to cost the Turkish economy approximately USD 55 billion each year, equivalent to 4.1% of national GDP in 2024. The pollution is also responsible for roughly 26,500 deaths per year in the country, including deaths from cardiovascular and respiratory diseases, lung cancer, stroke, and diabetes.The impacts begin at the very start of life, with fossil-fuel-derived PM2.5 pollution contributing to an estimated 8,000 preterm births, 8,200 low-birthweight infants, 5,100 new cases of childhood asthma, and 6,500 emergency-room visits for asthma each year in Türkiye.Beyond the estimated deaths each year in Türkiye, air pollution from the country’s fossil fuel emissions also contributes to deaths and economic losses in neighbouring countries. In 2024, these emissions were estimated to cause: 32,000 deaths and USD 2.1 billion in economic burden in Egypt; 1,700 deaths and USD 0.2 billion in economic burden in Syria; 800 deaths and USD 0.8 billion in economic burden in Iraq; 500 deaths and USD 4.5 billion in economic burden in Israel; and 400 deaths and USD 1.5 billion in economic burden in Greece.Türkiye currently has no national ambient air-quality standard for PM2.5, despite the substantial health burden associated with exposure to the pollutant. Figure — The percentage of annual PM2.5 emissions in Türkiye’s fossil fuel emissions, using the EMEP emission inventory and EMEP MSC-W chemical transport model Key findings Türkiye’s fossil fuel emissions (from domestic sources as well as international aviation and shipping) account for 52% of population exposure to PM₂.₅ nationwide. PM2.5 pollution attributable to Türkiye’s fossil fuel use is responsible for approximately 26,500 deaths in the country every year, including deaths from cardiovascular and respiratory diseases, lung cancer, stroke, and diabetes. Children are among the most affected, with fossil fuel-derived PM2.5 pollution contributing to an estimated 8,000 preterm births, 8,200 low-birth-weight infants, 5,100 new cases of childhood asthma and 6,500 emergency room visits for asthma each year. The cumulative health impacts of fossil fuel-derived PM2.5 pollution are estimated to cost the Turkish economy approximately USD 55 billion each year, equivalent to 4.1% of national GDP in 2024. Transboundary pollution attributable to Türkiye’s land-based fossil fuel emissions also leads to thousands of deaths in five neighbouring countries, with estimated economic burden per year (as of 2024) reaching USD 2.1 billion in Egypt (3,200 deaths), USD 0.2 billion in Syria (1,700 deaths), USD 0.8 billion in Iraq (800 deaths), USD 4.5 billion in Israel (500 deaths), and USD 1.5 billion in Greece (400 deaths). Türkiye currently has no national ambient air quality standard for PM2.5, despite the substantial health burden associated with exposure to the pollutant. Reducing fossil fuel use and emissions across Türkiye’s energy, transport and industrial systems would deliver substantial air quality and public health benefits by reducing exposure to PM2.5 and preventing associated illness and deaths. Figure — Annual deaths attributable to Türkiye’s land-based fossil fuel emissions in the five most affected countries, based on 2024 emissions
Rashid Shaheed limited Wednesday
Seattle Seahawks WR Rashid Shaheed dealing with hip injury
Will Kings Defeat Clippers, Improve Season Opener Record?
Forty-one years after a historic debut, injury-depleted rosters collide as Sacramento’s new-look trio aims to snap an opening-night skid against a short-handed Los Angeles squad.
TWICE's Jihyo Announces Departure from JYP Entertainment, Launches New Label
The group's leader is the third member to end her individual contract with JYP while staying in TWICE.
The Offspring guitarist steps away from live shows due to health
The Orange County punk band announced that Kevin 'Noodles' Wasserman would take time off to address a serious health issue as peers and fans sent support.
The Offspring guitarist steps away from live shows due to health
The Orange County punk band announced that Kevin 'Noodles' Wasserman would take time off to address a serious health issue as peers and fans sent support.
Families angry about ads featuring brutal loved ones’ murders
Republicans are spending millions on ads that talk about brutal killings to make Democrats look soft on crime. Victims’ families say they’re shocked and furious over the use of their loved ones’ deaths. CNN’S Isabelle Chapman reports.
Trump says he called Google to rename Atlantic Ocean
President Donald Trump continues to raise renaming various bodies of water to include “America.” While at a rally in South Carolina, he said he called Google CEO Sundar Pichai to rename the Atlantic Ocean because they were “really great with the lake,” referencing when Google Maps relabelled the Gulf of Mexico to “Gulf of America.”
Elizabeth Holmes Mania, Netflix Turmoil and a Glee reboot? This week in entertainment with Variety
Yorkville business owner charged with possessing child sexual abuse material
Limited practice for Caleb Douglas
Dolphins WR Caleb Douglas have have chance to play after limited practice
Your Voice, Your Vote: Stanley Langlow, Chelan County sheriff candidate
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Your Voice, Your Vote: Adam Musgrove, Douglas County sheriff candidate
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Your Voice, Your Vote: Tyler Caille, Douglas County sheriff candidate
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Choctaw Nation opens third small business center in McAlester
The Choctaw Nation of Oklahoma has opened a small business center inside the renovated McAlester Public Library, expanding access to workspace, business advising and connections to lenders. The Chahtapreneur Business Center’s 3,500-square-foot McAlester location is the tribe’s third center under the tribe’s purview, joining existing locations in Durant and Idabel, according to a tribal news […]
Meta ordered to pay New Mexico $25 billion over Cambridge Analytica breach
A judge has ordered Meta to pay New Mexico $25 billion after a jury found the company liable for deceiving users about privacy and content moderation on Facebook.
Should the pulpit be political? 2819 Pastor Philip Anthony Mitchell shares his view.
AJC producer Najja Parker asks Philip Anthony Mitchell about pastors’ role in politics and what could be lost if the Black church label disappears.
I’m not Left or Right. I’m Up: Time to look beyond political labels
Whenever an election approached, everyone wanted to know: Who are you voting for? “I can’t vote,” I would answer. “I’m Canadian.” I loved being neutral.
Google CEO Admits Cloud Business Is Sacrificing Revenue to Win AI Race
Alphabet Inc. (NASDAQ:GOOGL) CEO Sundar Pichai says Google is giving up potential Cloud revenue to prioritize AI research, even as customers struggle to secure computing capacity. Google Cloud revenue surged 82% to $24.8 billion in the second quarter, while its...
SSM Health unveils Fond du Lac clinic lobby upgrades
SSM Health added self-service check-in kiosks and other lobby upgrades at its Fond du Lac Regional Clinic.
North Park's Bachelor of Science in Mechanical Engineering Earns Accreditation
North Park's Bachelor of Science in Mechanical Engineering earns accreditation from the Engineering Accreditation Commission of ABET
Fleury Michon buys UK business Allplants
Allplants was acquired out of administration last year by the founders of Deliciously Ella, which was sold to Hero Group in 2024.
Abbott to Carve Out Nutrition Business Into Independent Company
Abbott Laboratories plans to separate its nutrition business into an independent company with about $8.5 billion in annual sales.
Mass casualty drill to test San Antonio-area hospitals, EMS response
FACT FOCUS: When it comes to Trump's economy, these are the numbers that matter before Nov. 3
President Donald Trump is trying to convince voters before the Nov. 3 midterm elections that the U.S. economy is rocketing upward.
Meet the adorable cougar kittens joining the Wildlife Science Center
The center in Stacy, Minn. has welcomed three new cougar kittens
Phillies Get Update On Triple Crown MVP Free Agent Target
The Philadelphia Phillies are linked to a superstar infielder who will officially become a free agent option in the offseason.
James Harden Challenges Evan Mobley to Play With ‘Ultimate Confidence’
James Harden says Evan Mobley has the talent to dominate on both ends, but Cleveland needs him playing with consistent “ultimate confidence.”
Chargers Now Sit Near the Bottom in Latest Power Rankings
Following yet another loss, the Los Angeles Chargers sit near the bottom of the NFL in the latest power rankings.
Political newcomers De La Cruz and Garcia battle for redrawn Texas 35th Congressional District
On Nov. 3, Texas voters will choose a new U.S. representative for the newly redrawn 35th Congressional District. On the ballot are Republican Carlos De La Cruz and Democrat Johnny Garcia.
A massive asteroid slammed into the North Sea and unleashed a 330-foot tsunami
A decades-long mystery beneath the North Sea has finally been solved. Scientists have confirmed that the Silverpit Crater, buried 700 meters below the seabed, was created when a 160-meter-wide asteroid struck Earth roughly 43 to 46 million years ago. The violent collision blasted a towering curtain of rock and water 1.5 kilometers into the air and triggered a tsunami more than 100 meters high.
Grading Phoenix Suns' Decision To Extend Oso Ighodaro's Contract
Phoenix secures a versatile defensive anchor by locking down the Marquette alum with a high-value extension, betting on his elite rim protection and playmaking to solidify their future.
Why child sexual abuse is our biggest public health crisis
An estimated one in five children will experience some form of sexual abuse before the age of 18. In this episode of Settle In, Amna Nawaz speaks with clinical psychologist Elizabeth Letourneau and journalist Luke Malone, authors of “One in Five,” a book that explores child sexual abuse as a public health crisis, about how education and early prevention can help protect children before harm occurs.
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.
Pulitzer Prize-winning science author to give lecture at SUNY Plattsburgh
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Daily news and links for Tuesday, 10/20/26
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AI is Changing Science: Here’s What Journalists Need to Know
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Ryan Reaves Pulls Curtain Back On Time With Maple Leafs
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BYU Alumna Combines AI, Healthcare, and Hope in Brazil
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