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Call For New WHO Instrument To Address Climate-Driven Global Health Emergency
A decade after the Paris Agreement took effect, climate-related heat, drought, floods, disease and dirty air are killing millions. The authors of a major
Here\'s where campaign fundraising stands in Lancaster County\'s legislative contests
Candidates in Lancaster County’s most competitive legislative race have raked in millions of dollars ahead of the Nov. 3 midterm election.
For Democrats Eyeing 2028, the First Test Is ‘Money, Money, Money’
As soon as the midterms are over, presidential contenders are going to need to raise millions, quickly.
Northern NV business owner pleads guilty to embezzling $7.8M from broadband project
A Reno business owner has pleaded guilty to laundering millions of dollars that prosecutors say were embezzled from a federally funded high-speed internet const
Sununu touts small business background, but what does the record show?
Private sector work has made Sununu millions over the past two decades — but little of it is tied to small business work.
Why Crypto Still Has Little Power in Latin American’s Politics and Elections
Millions use crypto across Latin America, yet the industry struggles to influence elections and policy. Why hasn't adoption translated into political power?
WV contributes federal health funds to breast cancer screenings, substance abuse recovery, more
The state of West Virginia will contribute millions of federal health dollars to help those in substance abuse recovery return to work, expand breast cancer screenings and more, Gov. Patrick Morrisey’s office has announced recently.
Moment of Science: Kangaroos developed thicker enamel to eat grasses, new study finds
Call it a dental exam Down Under! Here's some food for thought about how kangaroos evolved their eating habits over millions of years. 🦘
Ancient fish, modern science: Rice researchers go fishing in Houston’s backyard
A few dozen miles from the Gulf of Mexico, in a river winding through the Houston area, a fish with a lineage stretching back tens of millions of years was waiting beneath the surface. When it took the bait, Rice University researchers got the chance to bring the specimen back to the lab.
Inside the new donor class shaping San Francisco politics
Billionaires, AI companies and a new donor class are pouring millions into San Francisco’s election, from Mayor Lurie’s charter push to the race for Pelosi’s seat.
LeBron James, Adam Silver and the NBA’s BIG BET: Is Basketball Walking Into a New Sports Gambling Era?
The NBA is making a massive move into the prediction-market business. And it could change how millions of fans interact with basketball. On Oct. 26, the league announced agreements with Kalshi and Polymarket, naming both companies its preferred prediction-market exchanges. The NBA also signed a memorandum of understanding with the Commodity Futures Trading Commission to…
Keith Ellison sues businesses accused of stealing millions from child nutrition programs
The suit claims Nasib Bakery Food Distribution, LLC, and East African Health Network submitted millions of dollars in false claims to the Minnesota Department of Education.
Election 2026 Daily: Govs. Hodges, Beasley endorse Annie Andrews. Kamala Harris for Jermaine Johnson
Former South Carolina governors Jim Hodges, a Democrat, and Republican David Beasley have endorsed Annie Andrews as millions in new outside spending flows to her and Darline Graham.
As Trump brags about U.S. oil and gas company profits, his stocks gained millions during Iran war
A report from congressional Democrats found the president purchased millions in oil and gas stocks during the war.
Southern Utah is turning away millions in convention business. Washington County has a $30M idea to change that.
Washington County says it's turning away millions in convention business. Its solution? A $30 million expansion of the Dixie Center.
Potential buyer of Weiss and West Suburban hospitals has mixed track record
Insight Chicago owes tens of millions of dollars to the state, and its Bronzeville hospital has been cited for numerous safety issues.
Inside the Trump Administration's Dismantling of a Health Care Research Office
The Agency for Healthcare Research and Quality has few remaining grant officers and has redirected millions in taxpayer dollars without telling Congress.
Republicans are spending millions and still may not win districts drawn to favor them
Republicans redrew Congressional district lines to try to tilt the midterms in their favor. But now they are facing expensive and competitive races they had hoped to outmaneuver.
Republicans are spending millions and still may not win districts drawn to favor them
Republicans redrew Congressional district lines to try to tilt the midterms in their favor. But now they are facing expensive and competitive races they had hoped to outmaneuver.
Selena Gomez's vaping admission highlights hidden health risks doctors say millions face daily
Selena Gomez called vaping "stupid" after it altered her voice, but doctors warn the health risks go beyond vocal cord damage for millions.
‘Once we lose these, they’re gone forever’: What will become of the dioramas at the Academy of Natural Sciences?
The museum’s closure could endanger the 32 dioramas. Moving them can cost millions.
The boss whose twice-bust business appears to be back despite £3m debts
Andrew Woosnam took millions from his companies before leaving creditors including HMRC out of pocket
In Arkansas, Democrats see an opening at the edge of the competitive midterms map
In a sign of the potentially dire midterm political environment, Republicans have spent millions of dollars playing defense in Arkansas, one of the most conservative states in the country.
14-year-old entrepreneur’s slim business reaches millions online
A 14-year-old entrepreneur’s slime business has reached millions online and gained 21,000 followers in 23 days.
New evidence suggests spinosaurus spent most of its life underwater
Millions of years after animals first conquered land, some took an extraordinary evolutionary U-turn and returned to the water. Using machine learning and thousands of fossil measurements, Yale scientists have uncovered surprising clues about which prehistoric creatures truly became aquatic. Their findings suggest that Spinosaurus spent most of its life underwater, while some ancient marine reptiles previously thought to be fully aquatic actually spent considerable time on land.
Billionaires pour millions into San Francisco politics and elections
Millions of dollars have poured into San Francisco elections this campaign season, funding a torrent of postcards, pamphlets and video ads inundating voters’ mailboxes and screens.
Multimillion-dollar Pasco attractions business sends in the (creepy) clowns
Benjamin Nagengast turned his teenage paintball hobby into a family-owned attractions company that generates tens of millions of dollars a year.
Can millions of people live on the moon? These scientists say yes — but not for very long
Billionaires like Elon Musk and Jeff Bezos are claiming that we can expect big cities with millions of people on the moon, but a new study found that that may not be possible, so don’t start packing just yet.
Television Q&A: How are TV ratings tracked in the age of str...
Nielsen now combines viewer panels with data from millions of TV devices to track audiences across cable and streaming, while a TV Q&A also tackles wildlife-fil...
Why did humans' brains surpass chimps'? A tiny foe might help explain it
A viral infection from millions of years ago may have influenced chimp brain evolution through DNA leftovers in the genome.
Jeffrey Epstein has been everywhere this campaign season. But voters wonder how much he should matter
Candidates are spending millions to link their opponents to Jeffrey Epstein and his associates. But in one of the nation’s marquee Senate contests, many Ohio voters told CNN that prices, healthcare and the economy matter more.
Cannabis and CBD for Insomnia: What Does Science Say Today?
Millions of Americans struggle with sleep. Many believe cannabis or CBD helps, but clinical evidence remains unconvincing. Neither is FDA-approved for treating insomnia.
Dollars & Sense: Tips for health insurance open enrollment
Open enrollment season is approaching, giving millions of Americans an opportunity to review their health insurance coverage and make decisions that could affect both their healthcare and their finances in the coming year.
Ohio policymakers wrestle with prediction markets as wagers on sports and politics explode
With tens of millions of dollars staked on political and sporting contests, prediction markets are fueling anxiety among policymakers in Ohio and around the country.
Ohio policymakers wrestle with prediction markets as wagers on sports and politics explode
With tens of millions of dollars staked on political and sporting contests, prediction markets are fueling anxiety among policymakers in Ohio and around the country.
Small donors helping to fuel New York's grassroots campaigns
As candidates finish the final leg of their campaigns heading into Election Day, there’s a surge of big donors pouring millions into both state and national races.
Small donors helping to fuel New York's grassroots campaigns
As candidates finish the final leg of their campaigns heading into Election Day, there’s a surge of big donors pouring millions into both state and national races.
North Dakota’s prehistoric footprint: Scientists discover T-Rex footprints
Dinosaurs may have disappeared millions of years ago, but they're still leaving their mark on North Dakota.
James Patterson is writing a romantasy with this Scottish author
Like millions of readers worldwide, James Patterson loves Sarah J. Maas' "A Court of Thorns and Roses" and Rebecca Yarros' "Fourth Wing."
Sheba sells ARC innovation arm to Redesign Health in deal valued at tens of millions of dollars
The deal transfers management of ARC’s global network and the rights to establish new hospital innovation centers to the U.S. healthcare venture builder, while Sheba retains its stakes in portfolio companies.
AI Founders Have Poured Millions Into Politics. Voters Aren't Convinced
Survey data suggest the AI industry's political spending isn't working with voters who are concerned about jobs and data centers.
Michigan bet big on EV batteries. Here’s what happened.
Four years after Michigan pledged more than $1 billion in incentives to build an electric vehicle battery industry, the state has clawed back millions of dollars after companies have drastically changed their plans.
Employers Shift Rising Health Care Costs Onto Millions of Workers
New surveys show that increases in premiums and deductibles are forcing people to forgo treatments or doctor’s visits while budgets are strained by higher food and gas prices.
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.
'GTA 6' could cause $1 billion sick day as 1.5 million estimated to skip work: reports
When “Grand Theft Auto 6" drops next month, millions of Americans are planning a trip to Vice City that reports claim could cost the US economy a staggering $1 billion in lost productivity in just one day.
Thune makes bold prediction about Republicans' Senate chances as GOP pulls millions from key races
John Thune says Republicans will outperform the polls in toss-up senate races despite shifting campaign cash away from Georgia and into Kansas.
Midterm Election Update: Medicaid Changes
Major federal changes to Medicaid eligibility and financing from the 2025 reconciliation law are coming, including new work requirements that will affect millions of Medicaid enrollees. KFF’s fact sheet provides an overview of what has changed, what is still ahead, and what the public thinks about Medicaid heading into the midterms.
Nancy Wyman remembered as Connecticut political pioneer
"Do you want to tell the story of why there are still millions of people in this country who have insurance?" asked U.S. Sen. Chris Murphy. "That story runs through Nancy Wyman."
Private contractors are set to cash in as millions of Americans lose health care
Implementing Trump’s "big, beautiful" Medicaid cuts will be a windfall for firms like Deloitte.
MAGA Inc. Unleashes Millions to Turn Out Republicans At the Polls
MAGA Inc. is now flooding the social media platforms with targeted ads as it seeks to turn out Republicans amid the president’s historically low approval ratings.
How to Vote in the 2026 Midterms: A State-by-State Guide
Early voting is underway in many states ahead of the 2026 midterm elections. While the general election is on Tuesday, Nov. 3, millions of people have already cast their ballots. Because states run the federal elections, voter registration deadlines, early voting schedules and absentee ballot rules ...
WA leaders push back as federal health cuts threaten millions
Washington lawmakers warn that federal health cuts could cost hospitals billions and hike premiums, drawing debate ahead of the midterms.
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.
Nigerian national given 8-year sentence for tax business hacks
A Nigerian national who worked with a group to hack tax prep businesses and conduct millions of dollars in fraud using customer data was sentenced this week.
‘Big business’: little-known court system in Louisiana churns out thousands of evictions – and millions in fees for judges
Guardian investigation: Louisiana’s justice of the peace courts may violate tenants’ constitutional rights as eviction fees boost judges’ incomes
Couple embezzled millions from large Portland business to fund trips to Vegas and Legoland, lawsuit says
PORTLAND, Ore. (KOIN) — One of Portland’s largest employers has filed a lawsuit against one of its workers. Daimler Trucks North America is seeking more than $6.5 million in damages from Terr…
Couple embezzled millions from large Portland business to fund trips to Vegas and Legoland, lawsuit says
PORTLAND, Ore. (KOIN) — One of Portland’s largest employers has filed a lawsuit against one of its workers. Daimler Trucks North America is seeking more than $6.5 million in damages from Terry Watson,...
How a Massive Chinese Crime Ring Hacked Staples to Steal Millions
A sophisticated organized crime gang hacked into Staples, issued millions of dollars worth of gift cards, and went on a spending spree across the U.S.
Following 'millions' of computations, a coder is convinced they've deciphered the mysterious plaque in Super Mario 64
Serious Computer Business
Someone has used computational analysis to decide what Mario 64’s infamous plaque says, and it’s not ‘L is Real 2401’
Millions of tests were run to find the closest possible match…
City of Memphis investing millions in Soulsville housing, development
Also this week, early voting is underway and a judge is pondering whether to lift a ban on several people who were barred from Memphis City Council.
Continuous glucose monitors help type 2 diabetes patients spend 5 more hours a day in healthy blood sugar range
Continuous glucose monitors (CGMs) could transform diabetes management for millions of Americans with type 2 diabetes who don't take insulin, according to findings published in the New England Journal ...
Nationwide No Kings protests push for historic early voting results
Millions of Americans are expected to gather in big cities and small towns and vote early on Saturday, Oct. 17, in a continuation of the popular No Kings protests.
Lancaster General Health doctor first in the region to perform groundbreaking procedure
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California falls short on Medi-Cal fraud, state report says - The Business Journal California auditor flags Medi-Cal fraud oversight concerns
California's state auditor raises concerns about Medi-Cal fraud oversight, citing millions in questionable claims and thousands of high-risk providers not under investigation.
Millions of dollars spent on AI-generated political ads as midterms approach
Political action groups and candidates have been using artificial intelligence for campaign ads, spending over $137 million for the midterm elections.
Dr. Phil McGraw addresses Collin Gosselin’s ‘false’ claim that he helped offer Jon and Kate millions to stay married
The talk show host did not have “any vested interest” in the Gosselins’ relationship.
WHO scales up Ebola readiness in 22 countries across three continents
The World Health Organization (WHO) is strengthening Ebola preparedness amid conflict and displacement affecting millions of lives in a region that spans parts of Africa, Asia and Europe.
Bill Taft: Road construction shouldn’t drive out local businesses
These road projects threaten to undo millions of dollars and years of economic development efforts.
Plague is stoppable. The next health threat may not be.
The word plague is scary. Centuries ago, the Black Death killed tens of millions of people and changed the course of history. Plague still kills people around the world, and the word still evokes catastrophe. New fears of plague surfaced on October 2, when a lab worker in Irkutsk, Russia, died of pneumonia. Reports suggested that she may have contracted plague through a laboratory exposure. Understandably, people were alarmed. On October 7, the World Health Organization called for the Russian Federation to be transparent about what it knew. WHO issued an update on October 10. Russian authorities told WHO that testing did not identify plague and that investigations found no laboratory release. WHO said confidence in its risk assessment remained limited and that further clinical, epidemiological, and laboratory information was needed. The cause of the woman’s illness remains unknown, and WHO says a laboratory-associated exposure cannot be excluded. As I explained in a recent interview, this incident is very unlikely to lead to a pandemic. Plague is still active, including in the U.S., which sees a handful of cases each year. But it is a disease we can prevent and treat. Plague doesn’t spread readily, and it responds to antibiotics. The standard response—isolate the patient, trace contacts, and administer antibiotics and monitor for symptoms among contacts for seven days—works. We have even planned for antibiotic-resistant plague. At CDC, we developed a playbook for antibiotic-resistant plague and ran exercises on how to find and stop it. CDC guidance anticipates engineered resistance and recommends two different classes of antibiotics if there’s reason to suspect it. There is no evidence that resistance—or even confirmed plague—is involved in this incident. We have thought through how to address plague, but we’re not ready for the next major health threat that emerges from a lab or from animal spillover to humans. What should concern people is how little stands between the world and the next pathogen to get loose. Since peak COVID, epidemic preparedness has fallen off the political agenda, but the risk is greater than ever. More labs handle dangerous pathogens with more ways to make those pathogens deadlier, and more people live and work in close contact with animals. There are actions we can take now: We need better lab safety in every country. The number of labs that work with dangerous pathogens has increased worldwide over two decades, but there’s no enforceable international standard and no inspection regime; the Biological Weapons Convention, fifty years on, still has no verification mechanism. Labs that study dangerous germs need strong safety systems, training, and oversight. We need to reduce spillover events. Three in four emerging human infections start in animals, and there’s a lot we can do to reduce spillover risk, but the world is doing very little of it. Live-animal markets are one place to act. For instance, closing live-bird markets helped control H7N9 influenza in China. Reducing opportunities for people to encounter infected animals can prevent infections before they become outbreaks. In The Formula for Better Health, which is now out in paperback along with the hardcover, Kindle, and audiobook versions, I argue that labs do too many risky experiments with too many dangerous pathogens in too many institutions, and that every experiment should first answer one basic question: Is the likely benefit greater than the risk? Spillover risk can also be reduced: In the book, I discuss how Brazil cut its deforestation rate by 70% from 2004 to 2012 while increasing agricultural production and reducing risky contact between people and forest animals. We need faster detection and response. Delay costs lives. Strong surveillance, good labs, and trained responders can turn a single case into a small cluster of infections instead of an epidemic. Resolve to Save Lives has worked for nearly a decade to help countries find and stop outbreaks faster. The 7-1-7 target, which Resolve to Save Lives developed with partners in Uganda and elsewhere, provides a clear standard: detect within 7 days, notify within 1 day and complete all essential early response actions within 7 days. In Uganda’s Kasese district, for example, a review of a measles outbreak using 7-1-7 identified shortages of accessible funds, fuel, and vehicles that delayed the response. District leaders established funds they could access quickly. When, a few months later, the Crimean-Congo hemorrhagic fever appeared, the district detected it in three days, notified authorities in one, and mounted an effective response in two. Only one case was confirmed, and the patient survived. Because funds were available before the emergency, authorities were prepared and able to act. This kind of preparation can’t wait until the next crisis begins. Plague is an old disease we that know how to stop. The next threat may be harder to recognize, harder to treat, and easier to spread. Safer labs, less risk of spillover, and faster outbreak detection and response need sustained investment now, while we still have time to prevent the next emergency. Share
Big Tech and Big Business are spending millions to block progressives on the California ballot
This story was originally published by CalMatters. Sign up for their newsletters. With less than three weeks until Election Day, outside groups are pouring millions of dollars into two types of state legislative races: purple districts featuring a Democrat and a Republican, and safely Democratic districts featuring Democrats of different ideological stripes. Political action committees […]
Republicans are spending millions to oust a Democrat who won by 187 votes. Should he worry?
Adam Gray won California’s closest House race by 187 votes in 2024. Now, Republicans are spending millions trying to reclaim the Central Valley seat.
Big Tech and Big Business are spending millions to block progressives on the California ballot
Groups funded by Meta, Google, and cryptocurrency billionaires have spent millions trying to sway voters, especially in races with two Democrats on the ballot
Alsobrooks calls for crypto regulations as industry money flows into Maryland politics
Senator Angela Alsobrooks says the crypto industry needs federal regulation. So does the industry, which has spent millions in Maryland politics this year. What exactly do they want?
Millions Of Us Could Develop Dementia In The Coming Years – 3 Experts Weigh In On Where The Science Is Heading
Where will dementia research be in 10 years’ time?
No Kings coalition plans nationwide early voting events
Millions of Americans are expected to gather across the country and vote early Oct. 17 in the newest iteration of the popular No Kings protests. In some cases, they will
WHO urges faster action to end lead exposure which kills 3.5 million annually
Countries must accelerate efforts to prevent lead exposure, which is estimated to cause more than 3.5 million deaths globally each year and affects hundreds of millions of children, the World Health Organization (WHO) said on Thursday.
More than 3 million Medicare Advantage enrollees need to find new plans for 2027 in third year of turmoil
Millions of senior citizens and other enrollees will have to find new Medicare Advantage plans because their policies are being terminated, while others could have to pay more for their coverage and care.
You Can’t Build Golden Science Without Global Talent
Trump has announced millions in funding for new science and tech initiatives, but the anti-immigrant America First agenda could undermine his ambitions.
Ozempic and Wegovy linked to rare risk of sudden vision loss
Popular diabetes and weight loss drugs such as Ozempic and Wegovy have been linked to a slightly increased risk of a rare condition that can cause sudden, potentially permanent vision loss. Although the risk remains very low, Rutgers researchers say the findings warrant attention as millions of people turn to GLP-1 medications.
In the midterm ad wars, Republicans are spending more to get less
Republicans are spending hundreds of millions of dollars on advertising in battleground Senate races as they scramble to defend increasingly competitive GOP seats in the final stretch of the midterms.
The 20 most successful ‘Shark Tank’ products of all time, ranked
Who knew socks, sponges, and toilet stools could be worth millions? We’re revisiting 20 of the most successful products in ‘Shark Tank’ history, from brilliant investments to spectacular missed opportunities.
This Economist Studied Millions of Business Owners. He Uncovered the Surprising Way Everyday Americans Actually Get Wealthy
Owen Zidar, co-author of the book founders can’t stop talking about, "The Everywhere Millionaire," sat down with Inc. to mine the largest-ever dataset on entrepreneurs.
Epstein, Trump and trucks: Why political ads for a single Colorado race are flooding TV screens
Millions of dollars in spending have poured into north and central Colorado, flooding television commercial breaks with near-ceaseless political advertisements for a swing congressional seat.
Millions of Medicaid recipients to face draconian requirements as of 1 January
Trump’s reform law that seeks to make coverage harder to get, and to keep, includes working 80 hours per month
Polls are a snapshot, and other helpful things to remember during the midterm elections
With Election Day just a few weeks away — and millions of votes already cast — midterm polls are everywhere. While polling can be a helpful tool to understand the electorate, it's not a crystal ball.
Scientists uncover a hidden map of the brain with 539 distinct regions
Scientists have uncovered a hidden layer of organization in the brain by creating the first detailed 3D map of its lipids, the fatty molecules essential for brain structure and communication. By analyzing millions of measurements from mouse brains, researchers identified 539 distinct chemical zones, revealing patterns and boundaries that traditional brain maps have missed. Surprisingly, even white matter, once thought to be relatively uniform, contains a complex patchwork of chemically distinct regions.
Pickleball facility franchisor files for bankruptcy as founder acknowledges business mistake: 'I own it'
The Picklr's Chapter 11 filing stems from costly lease guarantees on about 40 franchise locations as an investor group commits millions for restructuring.
Judge orders the Trump administration to cancel taxpayer-funded TV ads
President Donald Trump must cancel any remaining television commercials paid for with millions of dollars in taxpayer money to promote his political message, a federal judge ordered Sunday night.
Hidden fees cost Michigan patients millions. Lawmakers push reforms
‘Facility fees’ are buried deep in bills and often include little explanation. Health officials say they need the money to stay afloat, but won’t divulge much about the charges. One expert calls them a ‘black box.’
Democrats pour millions into ad buys in Ohio, Iowa U.S. Senate races
the party will spend $7 million in Ohio and $2.5 million in Iowa, two states President Donald Trump carried by double digits just two years ago.
3.2K views · 23 reactions | Violent threats have become a new normal...
Violent threats have become a new normal among public officials in the U.S., reshaping private lives, costing millions in security and pushing people out of office. Our reporter Nick Corasaniti...
Judge orders Trump to cancel taxpayer-funded TV ads
A federal judge has ordered President Trump to cancel any remaining television commercials paid for with millions of dollars in taxpayer money to promote his political message.
Opinion | Millions for rural health care mean little to those priced out
Alabama is spending millions of dollars to make rural health care better. New technology and expanded services are being sourced to communities that are in dire need of them. At face value, there is not much to dislike. I mean, who in their right mind would refuse increased resources? This August, Gov. Kay Ivey announced...
Judge orders the Trump administration to cancel taxpayer-funded promotional TV ads
A federal judge has ordered President Donald Trump to cancel any remaining television commercials paid for with millions of dollars in taxpayer money to promote his political message. The administration said the ad campaign was already coming to an end. U.S. District Judge Jennifer L. Rochon in N...
Judge orders the Trump administration to cancel taxpayer-funded promotional TV ads
A federal judge has ordered President Donald Trump to cancel any remaining television commercials paid for with millions of dollars in taxpayer money to promote his political message
Judge orders the Trump administration to cancel taxpayer-funded promotional TV ads
President Donald Trump must cancel any remaining television commercials paid for with millions of dollars in taxpayer money to promote his political message, a federal judge ordered on Sunday night as the administration said the ad campaign was coming to an end.
Judge orders the Trump administration to cancel taxpayer-funded promotional TV ads
President Donald Trump must cancel any remaining television commercials paid for with millions of dollars in taxpayer money to promote his political message, a federal judge ordered on Sunday night as the administration said the ad campaign was coming to an end.
Judge orders the Trump administration to cancel taxpayer-funded promotional TV ads
A federal judge has ordered President Donald Trump to cancel any remaining television commercials paid for with millions of dollars in taxpayer money to promote his political message.
Judge orders the Trump administration to cancel taxpayer-funded promotional TV ads
A federal judge has ordered President Donald Trump to cancel any remaining television commercials paid for with millions of dollars in taxpayer money to promote his political message.