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The key to success in business? Take risks. Just ask the owner of the Kobuk
Let’s talk about the elephant in the room. Or, in this case, it’s more apropos to say the donkey in the room. Deborah Bonito is married to former senator and Anchorage mayor Mark Begich. That doesn’t mean she’s not political, but she’s also a kingpin in retail owning seven businesses.
Roseburg declares Small Business Season from Nov. 1 to Dec. 31, 2026
Roseburg proclaims Small Business SeasonRoseburg, OR – Mayor Larry Rich proclaimed Nov. 1 through Dec. 31, 2026, as Small Business Season in Roseburg during the
Augusta Entertainment Complex to be named for James Brown
The Augusta Entertainment Complex will become the James Brown Entertainment Complex under a unanimous vote by the Augusta-Richmond County Coliseum Authority.
iCloud Mail and Calendar plugins now work with ChatGPT
Here’s a welcome change. OpenAI just announced iCloud Mail and Calendar plugin support for ChatGPT. That means you can connect...
OpenAI announces 3 AI-generated discoveries in mathematics, computer science, physics
ChatGPT developer says AI models produced proofs addressing longstanding scientific problems, seeks independent academic scrutiny | Anadolu
How Sports Betting Is Becoming Part of the Luxury Entertainment Experience
Sports fans spend their money on more than a ticket now. They pay for private entrances and better seats. They pay for hospitality that begins before the game and continues after. PwC surveyed 1,000 high-net-worth sports fans in the United States and found 60% would spend more than $250 on a premium event and one […]
I cofounded GPTZero. Now I worry people can't write without AI.
Edward Tian built GPTZero in college and sold the AI writing detection tool to Superhuman. Now he worries AI is changing how people write and think.
Lexington Mexican restaurant reopens after health department closure
The South Broadway location of Jalapeno’s was shut down on Oct. 14 after an inspector found evidence of live roaches and rodents.
Firefox brings back internet icons for new anti-tracking, anti-AI campaign
Numa Numa Guy, Overly Attached Girlfriend, Annoying Orange — they're all here.
iPhone AI Images and Edits Now Have a Hidden Watermark
Images generated with Image Playground and some photos edited with Apple Intelligence will now include a SynthID watermark. Apple announced plans to add SynthID support back in June, and the feature is live in iOS 27.2. SynthID is a Google-created tool that identifies AI-generated content. It watermarks images and videos at the pixel level instead of adding metadata. Google says it does not affect image quality and is meant to survive cropping, filters, and compression.
Philippine Star
‘JUSTIN OPPA AND HAILEY UNNIE’🫰🤣 South Korean digital entertainment media outlet Dispatch shared photos of Justin Bieber and Hailey Bieber captured during their departure from Incheon International...
Adam Brody’s ‘Nobody Wants This’ costar speaks out after actor’s pro-Palestine comments
‘Nobody Wants This’ actress Tovah Feldshuh is calling out her costar Adam Brody’s recent pro-Palestine remarks: ‘To accuse the Jewish people of genocide is wild.’
Homedics parent company cuts 34 jobs in Oakland County
An Oakland County wellness company is laying off 34 employees, citing financial troubles.
ChatGPT Keeps Telling People 404 Media Can Solve Their Tech Support Problems
Because big tech doesn't do customer service, we are being inundated with AI-generated emails begging us for help.
Indiana's New Small Business Program: From Policy to Opportunity
Indiana’s approach to state contracting underwent a significant transformation this summer. Following an opinion from Attorney General Todd Rokita questioning the constitutionality of race- and sex-based contracting preferences, Gov. Mike Braun suspended the state’s Supplier Diversity Program and directed the creation of a new
Partner1 Renews WBENC Women's Business Enterprise and Women-Owned Small Business Certifications
Recertification caps a year in which founder and CEO Juhi Saha was named to Inc.’s 2026 Female Founders 500 and Partner1 was named an Inc. Power Partner for the second year runningPLEASANTVILLE, N.Y., Oct. 26, 2026 (GLOBE NEWSWIRE) -- Partner1, the advisory firm and software platform behind the partnership strategies of fast-growing B2B software companies, today announced it has renewed its Women’s Business Enterprise (WBE) and Women-Owned Small Business (WOSB) certifications from the Women’s Bu
Community investments: How affordable financing supports housing and small business growth
FHLBank Chicago’s Katie Naftzger shares how the institution has expanded their Mortgage Partnership Finance® (MPF®) Habitat for Humanity® Program in response to rising costs.
Today’s Papers: Juventus claw back, Inter never give up
La Gazzetta dello SportKimi, here we go Another triumph, the World Championship will arrive on Sunday with a ninth-place finishAntonelli also dominates at the GP in Austin: His ninth victory. The tit...
Fabarta Unveils Major Upgrade to Its AI for Science Platform, Named Among Inaugural "Hong Kong Top Talent Ecosystem Partners" Ahead of Hong Kong FinTech Week
PR Newswire | Powered by the upgraded RSI engine, the platform unifi
SpaceX secures $40B in financing for GPUs as Elon Musk warns of AI cloud industry consolidation
SpaceX closed $40 billion in debt financing for GPU purchases as Elon Musk warns AI debt markets have shut off access for most companies.
Tibetan river hosting world’s biggest dam is facing increasing flood risk: study
Researchers create a hydrological history using tree rings and data to project future run-off and flood risk in the Yarlung Tsangpo River.
A Healthy Balance Between Rigor and Mental Health
Many students of Irvington High School typically start their own nonprofits, strive to have 4.0 GPAs and more extracurriculars than can be counted on the fingers. This is typically seen as the “key” to accomplishing an acceptance to a prestigious university, creating a rigorous and competitive environment where students tend to prioritize academic excellence over...
Xbox console users will receive 50 games from October 26 to 31.
From October 26th to 31st, the Xbox ecosystem and Xbox PC service will receive a major expansion of their catalog, including the release of 50 new games for...
Modders Unlock GeForce RTX 20, 30 And 40 GPUs For Up To 2X Compute Gains
The compute barrierbbetween NVIDIA RTX Pro GPUs and NVIDIA GeForce GPUs has finally been breached.
GeForce Unlocked: Modders Boost RTX 20, RTX 30, and RTX 40 Compute Performance by Up to 2x
NVIDIA's GeForce RTX 30-series and RTX 40-series graphics cards are based on the same dies as their professional-grade GPUs. This means the compute potential of consumer-oriented RTX GPUs is restricted by NVIDIA's firmware stack, but modders have managed to unlock the instruction issuing rate...
My Co-Worker Is Losing It Over My Religion
Plus: Reader responses to a woman returning to the office after two decades of self-employment.
Your AMD GPU Has A One-Click Setting That Can Extend Its Lifespan
One helpful AMD Adrenalin setting that can help users make their AMD GPU last longer is the "Tuning" section under the "Performance" tab in AMD Adrenalin.
‘Things are really booming’: FAMU homecoming brings business opportunities for local vendors
Florida A&M University (FAMU) homecoming is bringing crowds and business opportunities to vendors selling food, clothing, art and accessories along Perry Street and around campus.
South Texas Health System (@stxhealthsystem)
1 likes, 1 comments - stxhealthsystem on October 24, 2026: "Lower Your Risk, Prioritize Your Breast Health: Breast cancer is one of the most commonly diagnosed cancers among women worldwide. While some risk factors, such as age and family history, can't be changed, there are lifestyle choices that may help reduce your risk and support overall breast health. ✅ Maintain a healthy weight ✅ Stay physically active ✅ Eat a balanced, nutritious diet ✅ Avoid tobacco & limit alcohol consumption ✅ Talk with your doctor about hormone replacement therapy Just as important, don't delay routine checkups and recommended screenings. When breast cancer is detected early, treatment is often more effective and outcomes can be significantly improved. For more on breast cancer, watch the latest South Texas Health Minute on ValleyCentral.com at the link in our bio.".
NVIDIA GeForce RTX 30 GPUs Get Up To 2X Faster AI Compute Performance With New GPU Unlock Mod, Real-World Gains Of Up To 60%
NVIDIA's GPU Unlock boosts RTX 30 Series Tensor Core performance, showing up to 94% improvements in compute tasks without driver modifications.
This US House district was once a political battleground. Now it shows why Congress is dysfunctional
The number of politically competitive U.S. House seats is shrinking rapidly.
This US House district was once a political battleground. Now it shows why Congress is dysfunctional
The number of politically competitive U.S. House seats is shrinking rapidly.
This US House district was once a political battleground. Now it shows why Congress is dysfunctional
The number of politically competitive U.S. House seats is shrinking rapidly.
This US House district was once a political battleground. Now it shows why Congress is dysfunctional
The number of politically competitive U.S. House seats is shrinking rapidly.
Voters angry about high prices may get little relief from the next Congress
Even if Democrats win control of Congress on Nov. 3, lawmakers can do little about prices that are uncomfortably high -- and will stay that way even as the rate of inflation is expected to slow.
Redes named RBHS Science student of the Semester
Red Bluff High School recently named fall semester science students through the first grading Oscar Redes a senior, with a GPA of 4.37 was recognized.
Leclerc tops both Austin practices but warns Verstappen and Antonelli have more in hand
Charles Leclerc was fastest in both Friday practice sessions at the United States Grand Prix, but he does not think he goes into qualifying as the favourite. The Ferrari driver believes Max Verstappen and Kimi Antonelli have more pace to come, and he says his team's Austin upgrade is smaller than people expected.
AI image generator test: Canva Craft vs. ChatGPT, Gemini, Meta Muse
While Canva's new image generation tool fell short at making a birthday card, it's catching up to more powerful models in creating realistic images.
George Russell reveals truth behind Horner's Red Bull approach
George Russell has played down Christian Horner's revelation that Red Bull approached his management over a potential move to the team in 2025, insisting that he never seriously considered leaving Mercedes and suggesting the discussions were simply part of the ongoing rivalry between Horner and Toto Wolff. In his newly released memoir Drive, the former Red Bull team principal revealed that he contacted Russell's representatives during last year's British Grand Prix at Silverstone, at a time when
Arts and entertainment throughout the region
A listing of arts and entertainment events throughout the region.
Arts and entertainment throughout the region
A listing of arts and entertainment events throughout the region.
Boston 25 News
Road closures, blocked parking lots and construction equipment have made it difficult for customers to get around downtown and, business owners say, even harder to get people through their doors.
Science Hill finishes state runner-up in program's best season
MURFREESBORO — Consider the standard set for Science Hill's volleyball program. The Lady Hilltoppers' best season in program history ended with the team's deepest ever state tournament run.
Entertainment 360 and Griffin Gaming Partners Launch HITpoint Entertainment
Entertainment 360 and Griffin Gaming Partners are launching a joint production company called HITpoint Entertainment.
Drake University expands full-tuition Bulldog Promise program to transfer students
Drake University will provide full-tuition coverage for qualifying Iowa transfer students through its Bulldog Promise program beginning in fall 2027. To qualify, transfer students must be Iowa residents, have a cumulative college GPA of at least 3.0, be eligible for the maximum federal Pell Grant and be pursuing their first bachelor’s degree. Originally launched in…
This Chicago Mansion Is Hiding A World Of Magic Behind Its Historic Doors
Located near the Magnificent Mile, The Hand & The Eye offers three floors of immersive illusions, fine dining and secret passages.
AMD FSR 4.1.2 Now Runs On Intel Arc XMX Cores, Delivering Better Image Quality Than XeSS Upscaling With Similar Performance
Modding community brings AMD FSR 4.1.2 to Intel Arc GPUs, showing superior image quality and efficiency with upscaling times as low as 0.59 ms.
There’s a Reason That Netflix’s Ad Business Has Underwhelmed
Somewhat lost in the company’s slew of firings and engagement warnings over the past few weeks was the fact that Netflix is scaling back its ad forecast for 2026 from $3 billion to $2.7 billion. That’s despite the fact that: CTV is growing by 14-15% this year This year saw a monster upfront Netflix is the biggest streamer out there this side of YouTube, and was the platform that for years brands were supposedly dying to be a part of In other words, that’s an alarming pull-back from Netflix. A Wall Street analyst I spoke with last week was blunt, calling Netflix’s ad business “disappointing.” To me, a red flag on the ad front is that Netflix has never revealed how many ad-supported subscribers it has. Because if I know anything about how big companies work, if they have a positive number that makes them look really good - they tend to share it. (How many subs does go90 have right now? We’re not saying just yet. How are ads going on ChatGPT? Oh, a billion run rate - I see). Yes, to date Netflix has shared some fuzzy ad numbers, such as the idea that the company’s ad tier ‘reaches’ 250 million users globally.’ Here’s why that figure gives me pause: a)they lead with global, and b) they don’t explain how they are calculated. (Are they based on average people in each room? Surveys of some kind?). Regardless, some insiders say that Netflix’s ad tier is scaling nicely - others not so much. Either way, one of Netflix’s biggest challenge on the ad front appears to have been its starting point. Remember, when Netflix launched ads in 2022, it had 73 million subs in the US and Canada. That’s 73 million people who were used to Netflix with zero ads. And when the ad product rolled out, the company clearly was going after new users - a limited pool of potential subscribers by default. That focus seems to have changed over time, as Netflix has tried to convert longtime subscribers to the ad tier. Historically Netflix subscribers are very sticky. But is the company’s low churn a problem? Not necessarily, according to Antenna data. Rather, Netflix’s consumer loyalty is a bit of a double-edged sword. “Netflix is the one streamer which actually has seen substantial “trade downs” but has much lower ‘win backs,’ said Antenna founder Jonathan Carson (win-backs being people who were on the ad-free plan, cancelled, then rejoined on the ad plan). “Netflix has lower churn and so has less opportunity to win back old subs with a lower cost plan option.” This all might explain why Netflix has been so slow to roll out all of these table stakes targeting options until just this week. It likely didn’t have enough users to carve up into various targets. etc. However, what really hit Netflix’s ad business was Amazon’s move a few years ago to turn on advertising for Prime Video by default. Suddenly the market was awash in premium inventory, and Netflix was playing catch-up on multiple fronts. Thus, the streaming giant appears to still be figuring out if if wants lead in ‘programmatic TV,’ or premium ‘upfront’ TV sales. “The CTV market now sorts into three businesses, and Netflix is not the leader of any of them,” wrote analyst Jack Myers. Ouch. So how does Netflix ratchet up its ads business? Get the next NFL package You’re gonna have to wait until 2030 unless one of the bigger media companies like Skydance opts out, but the easiest (not cheapest) way for Netflix to become a huge TV ads contender is to get one of the regular NFL packages, ideally Sunday afternoons. That way it can sell ads to its whole U.S. subs base overnight. Go FAST This one is risky, because to program a compelling FAST channel, you’d likely have to take some older Netflix exclusive shows and make them available for free to non-subscribers. But FASTs, for better or worse, are ad-inventory machines. Go full UGC I’m not sure I see this happening. There is something already off about Netflix carrying podcasts and shows for creators. The experience sticks out in what is such a produced, and generally non-communal environment. But Netflix could open up its platform by allowing creators to upload videos without having to be approved by the service. But that opens a whole other can of worms (policing brand safety, copyright infringement, overall quality). Make a huge RMN Deal I was going to suggest something crazy, such as ‘instead of buying Warner Brothers, Netflix should buy Target. But the company doesn’t want to be in the brick and mortar business. Yet for Netflix’s ad business to compete in an Amazon world, it needs to be able to connect ad exposures to shopping. What if, instead of letting Amazon target Netflix viewers with its DSP, Netflix inked a deal with Target, or even took control of Roundel, and created its version of the Amazon full-funnel for brands? Price us out. I hope they don’t do this, but Netflix’s price increases - while significant - haven’t been enough to push long-term customers out of the ad-free tier. But if they made those prices so prohibitive, it could push large swaths of consumers to trade down. Then again, that could also dent engagement - as binging becomes much less appealing once you bring ads into the equation. Or, they could just launch a bunch of hit shows and maybe everyone will quickly forget all this angst. More from Amazon unBoxed A few weeks ago, I recorded two podcasts live at Amazon’s unBoxed event in San Francisco. I was able to go really deep with several brand partners about how Amazon’s various data and ad products work - particularly the under appreciated Amazon Marketing Cloud. First, I talked with Laura Abadias Velilla, of the Amazon specialty agency Amerge, along with Amazon’s own Charlotte Maines, Vice President, Devices Content & Advertising, about how the two partners helped a very specific printer company Epson launch into a brand new category - high end projectors. It’s a great example of how brands connect audience data across platforms to make budget deployment decisions. Next, I chatted with Monks VP Head of Digital Investment for North America Tom Burchill about how the agency actually brought in data from Linkedin to help target B2B customers across various Amazon properties for the brand Quicken. Check it out: Check these out, or just listen:
Large businesses’ cybersecurity insurance claims are now less frequent but more expensive
AI-powered attacks and hidden supply-chain weaknesses are making insurers’ work more difficult, according to a new report.
This Philly health advocate is breaking barriers to care
Following a long wait for a kidney transplant, scholar and advocate Jazmin Evans now works to make healthcare more accessible for others.
Nonprofits warn online sports betting initiatives put vulnerable Nebraskans at risk
The Open Door Mission hosted Gambling with the Good Life this morning to speak out against Initiatives 440 and 441, two measures that would amend the Nebraska Constitution to legalize online sports gambling.
Inside Trisha Yearwood’s Weight Loss Journey: Everything the Country Singer Has Said About Her Health
Trisha Yearwood has been candid about dieting and weight loss over the years. Here’s everything to know about Trisha Yearwood’s weight loss journey.
Bronze Siskel & Ebert statue, with their theater seats, coming to Prudential Plaza
The sculpture will invite fans of Chicago's most celebrated film critics to sit in their iconic theater balcony seats.
Baptist Memorial marks lease transfer at Merit Health Rankin
The transfer was first announced on June 2 after a unanimous vote by the Rankin County Board of Supervisors.
China’s rise deepens industry concerns: Europe lacks a clear plan for life science
China’s five-year plan for life science must be taken “extremely seriously,” but Danish companies should also stay close to China’s fast-growing innovation hubs, says trade group director.
Science Hill, West Ridge preparing for crucial Big East clash
Sometimes you've just got to tip your cap to the other team.
How GSN Doctoral Residents are Approaching Care for Military Women’s Health
A Navy nurse and GSN doctoral resident redesigned an Okinawa maternity unit, cutting off-guideline staffing from 18% to below 12%.
Science Hill volleyball advances to Friday's state championship match
MURFREESBORO — For the first time ever, Science Hill's volleyball team will play in the state championship match
Longtime Cargill Exec Takes Reins At K-State Animal Sciences Department
Longtime Cargill executive Scott Eilert will take the helm at Kansas State University’s Department of Animal Sciences and Industry in the College of Agriculture, the school announced. The department is home to Kansas State’s largest degree program and one of the nation’s largest animal science academic centers. Eilert, a 1989... Longtime Cargill executive Scott Eilert […]
What is Glycidol methacolayte? Breaking down the health risks from Toledo chemical leak
Residents in northern Toledo are reporting varying health symptoms as a result of an active chemical leak in the area. But what's the actual exposure risk?
Shader Compilation Stutter Begone: Nvidia's Latest GPU Drivers Finally Add Advanced Shader Delivery
Now AMD, Qualcomm and Nvidia all support the tech - with Intel coming soon.
Nvidia’s latest GPU driver brings a new way to speed up PC games
Microsoft’s new Advanced Shader Delivery technology is now part of Nvidia’s drivers.
Duke Endowment makes big investment in NC Children’s hospital
By Anne Blythe Key Takeaways: On a heavily wooded tract near the intersection of U.S. 1 and N.C. 540 — a 220-acre spot in southern Apex so void of infrastructure it shows up only as GPS coordinates on a map, the Duke Endowment announced a transformative $100 million grant Tuesday morning. The investment will help […]
Christian Horner reveals Red Bull talks with Lewis Hamilton management before telling Mercedes' Niki Lauda to sign British driver
Christian Horner joins Simon Lazenby on the latest episode of Sky Sports The F1 Show Podcast to reveal all on Red Bull talks with Lewis Hamilton before the latter joined Mercedes and his thoughts on Kimi Antonelli, who could become world champion this Sunday at the United States GP
China, Russia Deepen Arctic Ties as Japan, Iceland Boost Science Cooperation
Russia floats a rival Arctic framework while Japan and Iceland, marking 70 years of diplomatic ties, lean on polar research to deepen cooperation.
ChatGPT now lets you lock your chats
The company says the feature is designed for situations where users might be discussing something personal or planning a surprise and want to keep those conversations private when handing their device to friends or family to show them something in another chat.
Amazon buys billions in Nvidia AI GPU racks, then waits for power
AWS is ordering billions in Nvidia AI racks early and staging some in warehouses while data centers await power.
Garmin Edge 1060 Cycling GPS Hands-On: Everything You Need to Know!
Everything you need to know about the Garmin Edge 1060, based on initial real-world ride data and hands-on thoughts!
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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