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Beloved Yankees Player Lands Job Managing His Former Japanese Team
Former New York Yankees star Hideki Matsui landed a job managing the Yomiuri Giants, his former team. The post Beloved Yankees Player Lands Job Managing His Former Japanese Team appeared first on HEAVY.
Justice Department asks appeals court to intervene in California ballot case
WASHINGTON, Oct 22 (Reuters) - The US Justice Department asked an appeals court to intervene on Thursday in its lawsuit seeking to temporarily block California from counting more than 20,000
Most Catholic health institutions in Illinois temporarily protected from assisted suicide law
A significant number of Catholic health workers in Illinois are now covered by a temporary restraining order on the state's new physician assisted suicide law that took effect Sept. 12.
Tarik Skubal Rumors: Toronto Blue Jays Listed as Potential Suitor
Skubal is going to hit free agency this winter with a lot of questions around him.
Lawsuit accuses Trump of illegally profiting from UAE crypto investments
The lawsuit claims the investments violate the Constitution’s foreign emoluments clause
Lawsuit accuses Trump of illegally profiting from UAE crypto investments
The lawsuit claims the investments violate the Constitution’s foreign emoluments clause
Apple Pulls Keynote, Pages and Numbers From App Store
Apple has temporarily removed Keynote, Pages, and Numbers from the App Store, just after releasing an update that added iPhone Duo support and a new Intelligent Assistant. It is not clear if the apps were removed intentionally, or if it is a bug. It is not clear if the apps were removed intentionally, or if it is a bug.
Judge insists Trump must be deposed in his $10B lawsuit against the BBC, warns it could be tossed in fight over records
A federal judge warned President Donald Trump could see his $10 billion defamation lawsuit against the BBC dismissed if he does not work harder to produce information the news outlet it is entitled to in the case, including sitting for a deposition.
Judge directs President Trump to sit for deposition in his $10 billion lawsuit against the BBC
Trump had agreed to sit for a deposition on Oct. 16, but it was cancelled for what was described as a “matter of national importance.”
How a Legal Backlash Against Big Tech Is Forcing Big Changes
A series of lawsuits has created a new de facto regulatory regime as courts order companies like Meta and Google to change their business practices — and pay up.
Cubs Listed As Potential Suitor For Tarik Skubal
‘Of course’ Vinicius agent explains he was tempted by Arsenal
Michael Yormark says Arsenal were “very aggressive” in their pursuit, and has now explained how seriously the Real Madrid winger viewed the approach.Photo by Tullio M. Puglia/Getty ImagesVinícius...
Atrium and State Health Plan are clashing over NC benefits. Get up to speed.
A tiered network fight escalated into a lawsuit and an out-of-network move — all while 750,000 members were trying to pick a plan.
Zach Charbonnet Injury Update: Seahawks RB’s Week 7 Status Revealed
Zach Charbonnet was supposed to be the leader of the Seattle Seahawks backfield in 2026, but the veteran running back has yet to suit up thanks to an ACL injury he suffered during the team's Super Bowl run last season. Originally selected in the second round of the 2023 NFL Draft, the UCLA product spent …
Discrimination Fuels Mental Health Crisis Among LGBTQ+ Youth, National Report Finds
By Dennis Thompson HealthDay ReporterTHURSDAY, Oct. 22, 2026 (HealthDay News) — LGBTQ+ youth continue to face high rates of anxiety, depression and suicidal thoughts, driven by ongoing discrimination, a new report says. However, acceptance and access to care can reduce the risk of mental health ...
Vaisala Viewlinc Cloud Suite supports life science innovation from laboratory to regulated operations
Vaisala Viewlinc Cloud Suite Vaisala Viewlinc Cloud Suite and Care for Viewlinc enable professional-quality monitoring as critical operations evolve. Vaisala, a global leader in measurement instruments and intelligence, introduces Viewlinc Cloud Suite, a cloud-based environmental monitoring offering designed to help organizations establish professional-quality monitoring from day one and build on the same platform as their requirements evolve. The launch is complemented by Vaisala Care for Viewl
Wynonna Judd says mother Naomi foreshadowed her suicide: ‘She talked about it a lot’
Country music star Naomi Judd died in 2022.
Eagles Named Potential Suitor for Former NCAA Passing Yards Leader
Amazon employee files explosive lawsuit claiming senior executive raped her on NYC business trip
Florida GOP pulls lawsuit over TV ad tying Uthmeier to Hope Florida scandal
The GOP claimed its lawsuit achieved its aim because Democrats pulled the ad, but the ad ran its scheduled run, and Democrats this week launched a new online ad on the same topic.
'All of us have a role in prevention,' health official says as South Dakota suicide numbers rise
The number of South Dakotans who died by suicide increased to 214 in 2025, according to new state data.
UConn's Azzi Fudd will appear in Sports Illustrated Swimsuit Issue
The Dallas Wings rookie joins 10 other women for a shoot in Spain, with stops in Ibiza and Mallorca.
Jeff Garlin details ‘nervous breakdown,’ undiagnosed bipolar disorder while on “The Goldbergs”: ‘I was going to commit suicide’
Five years after his breakdown, Garlin said he is “just now feeling really good.”
California Attorney General Rob Bonta on DOJ voter rolls lawsuit
The midterm elections are less than two weeks away
Video: How Title IX Became a Political Tool
After a Cornell student’s lawsuit alleging the school failed her when she reported sexual assault, there’s a new focus on Title IX, the federal law barring sex discrimination in federally funded education. Our Washington correspondent Michael C. Bender traces how interpretations of the law shifted between the Obama and Trump administrations.
Top Democrats join California immigrant, Nevada group to sue over federal election probes
The lawsuit accuses Trump and his administration of using “shoddily compiled lists of supposed noncitizens” and “coercive threats" against state officials to assert federal control over the midterms.
Catawba Valley Health System opens Taylorsville Urgent Care
Catawba Valley Health System (CVHS) is pleased to announce the opening of Catawba Urgent Care of Mountain View in Taylorsville, effective Monday, October 19, 2026. Located at 50 Macedonia Church Road, Suite C, the new clinic becomes the fifth Catawba Urgent Care of Mountain View location. The Taylorsville location joins existing clinics in Sherrills Ford,…
Jefferson County Health Department Pays $2.25M to Settle Data Breach Lawsuit
Jefferson County Health Department, a public health agency for Jefferson County in Hillsboro, Missouri, has agreed to settle class action litigation that Jefferson County Health Department in Missouri has agreed to pay $2.25 million to settle a class action lawsuit stemming from a 2022 data breach affecting almost 116,000 individuals.
How The New York Times Reports on A.I. Images
A Times reporter and editors discuss the challenges of sifting through what’s real and what’s not in pursuit of the news.
Mastercard Selects Extend as Financial Operations Platform
Deal said to bring ‘modern spend and expense management’ to issuing banks
Pulpit Politics: Johnson Amendment Rarely Enforced
Oklahoma religious leaders are navigating a murky legal landscape around the Johnson Amendment, which bars tax-exempt churches from endorsing candidates but is rarely enforced. With a recent Texas lawsuit failing and Congress considering changes, some pastors endorse candidates without consequences while others see political neutrality as a theological obligation, not just a legal one.
25 Shortfalls Cruise Entertainment Teams See on Formal Evenings Among Guests on Almost Every Voyage
Formal night is supposed to be the glamorous peak of a cruise: gowns on the staircase, blazers at the bar, photographers waiting under a chandelier. Then the lobby fills up, and the same slip-ups show up sail after sail. A bathing suit at the dining room door. A perfect gown with beach flip-flops peeking out ...
Spurs' De'Aaron Fox questions fall by Thunder's Chet Holmgren
The entanglement and ensuing dust-up on Tuesday night resulted in a flagrant 1 foul for Fox and three technicals fouls for Oklahoma City.
Why this Glendale business owner is suing the U.S. government
Mario Ayala said he is trying to keep the business running, but the uncertainty and damage from the raid has taken a toll. Zach Prelutsky reports.
Why this Glendale business owner is suing the U.S. government
Mario Ayala said he is trying to keep the business running, but the uncertainty and damage from the raid has taken a toll. Zach Prelutsky reports.
Why this Glendale business owner is suing the U.S. government
Mario Ayala said he is trying to keep the business running, but the uncertainty and damage from the raid has taken a toll. Zach Prelutsky reports.
Why this Glendale business owner is suing the U.S. government
Mario Ayala said he is trying to keep the business running, but the uncertainty and damage from the raid has taken a toll. Zach Prelutsky reports.
Lakers' Austin Reaves gets real on what it is like seeing LeBron James suit up for 76ers
For the first time in Austin Reaves career he will be without LeBron James. The guard commented on what it's like with James playing for another team.
Man arrested, dirt bike rider wanted after theft from Monroe County business leading to pursuit
Glendale store owner sues federal government over cash, computers seized in raid 20 months ago
A Glendale convenience store owner filed a federal lawsuit Tuesday demanding the return of cash, computers and phones agents seized from his money services business in February 2025.
‘Borders on the absurd.’ California fights Trump lawsuit to set aside 20,000 ballots
California is trying to block the Trump administration's voter lawsuit. Here’s what the attorney general said in a court filing.
Feds claim 17,000 other potential noncitizen voters in California
Filings in the Justice Department's lawsuit accusing California officials of facilitating election fraud reveal new details about the underlying investigations.
Lena Waithe says Hollywood feels like "Walmart"
Actor, writer and producer Lena Waithe is questioning Hollywood's pursuit of mass-market entertainment as consolidation leaves creators with fewer places to sell original projects.
Gravity & Other Myths Bringing Acrobatics Show to Eisenhower Auditorium
An Australian physical theater troupe will bring a performance built around acrobatics, repetition and the pursuit of mastery to Penn State next
Orange County Public Schools rejects salary and health insurance recommendations
OCPS said declining enrollment and what it described as insufficient state funding have put additional pressure on its budget
On fire, Désiré Doué's incredible October stats 🔥
October suits him.This Tuesday evening, Paris Saint-Germain host FC Barcelona in the blockbuster clash on matchday three of the 2026-2027 Champions League league phase.The Parisians opened the scoring...
Trump sued over Canadian tariffs in latest legal challenge
The lawsuit argues the White House exceeded its authority in imposing the latest tariffs on the country and caused "immediate harm to American businesses".
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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Toppenish School District receives $7.5 million federal grant to expand mental health services for students
The BriefThe Toppenish School District has been awarded up to $7.5 million through Project AWARE (Advancing Wellness and Resiliency in Education), a federal grant administered by the Substance Abuse and Mental Health Services Administration (SAMHSA).The grant will provide up to $1.5 million annually over five years to expand mental health services, strengthen substance use prevention and intervention, and improve access to support for students.District officials say the funding will help address identified gaps in services, particularly drug and alcohol counseling at the high school level, and will allow the district to build capacity for long-term mental health support.TOPPENISH, WASHINGTON — The Toppenish School District has been awarded up to $7.5 million through Project AWARE (Advancing Wellness and Resiliency in Education), a federal grant administered by the Substance Abuse and Mental Health Services Administration (SAMHSA), to expand mental health services and substance use prevention for students.District officials said access to mental health resources has been limited, making it difficult for some students and families to get the support they need. The federal Project AWARE grant will help address those challenges by bringing schools and local healthcare providers together to better support students.The grant will provide up to $1.5 million annually over five years to expand mental health services, strengthen substance use prevention and intervention, and improve access to support for Toppenish students. Deputy Superintendent Dr. Jeff Camero said the district is focused on coordinating with service providers in the area to work as a unified team."We made the awareness with the grant. But looking at all the service providers in the area and how can we all together work as a team?" Camero said.Camero said the district wants to use those resources to reach students earlier and provide more support for those struggling with their mental health. The district plans to address a range of mental health challenges, from anxiety and depression to youth suicide risk. Camero emphasized the importance of supporting students in grades eight through twelve, where suicide rates are a particular concern."Making sure from anxiety to depression, making sure that we can help support our students at those levels, but also the youth suicide risk, looking at that as a top in this area, in our grades, you know, eight, for example, eight through 12, looking at suicide rate and looking at how whether we look at the ACES or whatever program we're looking at, that's federal, how that connects and how we can better serve our students with this extra funding," Camero said.The funding will allow the district to bring in additional staff, including mental health and substance use specialists, to work directly with students and connect families with community resources. The district is already posting positions, including a director role, with additional positions expected to follow.District officials are also thinking beyond the grant's five-year timeline. Brittany Kaple, Director of Public Relations for the Toppenish School District, said the intent is to build capacity and establish connections that will sustain mental health services even after the grant funding ends."We do have the director position already posted, with some of our other positions following really close behind that. But the intent is to, you know, it's a five-year grant, so those positions would be funded for that five years. But there's also the intent to build capacity and make those connections so that at the end of the grant, when that money, you know, if that money is not renewed," Kaple said.As student mental health needs continue to evolve, access to drug and alcohol counseling has become an important priority for the district. Kaple said teachers and staff have been raising concerns about the need for more support, especially at the high school level."And that was something that was also an identified need by our high school staff when the superintendent met with them last school year. They said that that was a really great need, something that they felt was a gap in services that we were providing for our students. And so this is going to be one way to help support that need," Kaple said.The Toppenish School District says its goal is to ensure students and families have access to the support they need, both now and in the years ahead. Additional positions, including drug and alcohol counselors and family engagement specialists, are expected to be posted in the coming weeks. News Sunnyside City Council navigates 2027 budget planning Monique Garcia News "Dancing with the Stars" champion J.R. Martinez shares message of resilience during Central Washington visit Tyler Wargo News Toppenish, Mattawa educators honored at state Educator of the Year Awards Erin Wencl News Kennewick educator named 2027 Washington Teacher of the Year Erin Wencl News Voters to decide the next Yakima County Sheriff Monique Garcia COPYRIGHT 2026 BY APPLE VALLEY NEWS NOW. ALL RIGHTS RESERVED. THIS MATERIAL MAY NOT BE PUBLISHED, BROADCAST, REWRITTEN OR REDISTRIBUTED.
Decatur meatpacking business provides food for those in need amid rising costs nationwide
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This Week: Politics 101, 20th Street Bikeway, Muni Trivia
Here is a list of events this week. Monday/Tonight! SF Politics 101 with Joel Engardio. Learn how local politics shaped San Francisco. Monday/tonight, October 19, 5:30-6:45 p.m. SPUR Urban Center, 654 Mission Street, S.F. Wednesday 20th Street Protected Bikeway Ribbon Cutting. The Oakland Department of Transportation, city officials, Bike East Bay and other community partners will celebrate the completion of the 19th Street BART to Lake Merritt Urban Greenway. Wednesday, October 21, 1:30 p.m. 400 Thomas L Berkley Way, Oakland. Thursday 2026 Silver SPUR Awards. This SPUR event brings together elected officials and business, civic, and philanthropic leaders to celebrate four individuals and their contributions. Thursday, October 22, 4-7:30 p.m. Blue Shield of California Theater at YBCA, 700 Howard Street, S.F. Get tickets here. Friday Woman and Non-Binary Morning Ride. Join the San Francisco Bicycle Coalition for a socially distanced bike ride for women and nonbinary cyclists. Friday, October 23, 7:15-8:45 a.m. McLaren Lodge, 501 Stanyan Street, S.F. Friday Muni Trivia Night. Bring your friends or come solo and make some new ones. Friday, October 23, 7:30 p.m. Standard Deviant Brewing, Pier 70, suite 195, 1070 Maryland Street, S.F. RSVP here. Saturday Fifth Annual Firefighter Family Ride. Join SFFD, SF Safe Routes to School, and the SF Bicycle Coalition for a fun, low-stress bike ride through one of the city’s most beautiful routes. Saturday, October 24, 10:30 a.m.-1 p.m. Panhandle Park Blacktop (Fell & Ashbury) to JFK Promenade (Whale’s Tail). Sunday Canvas for No on Prop G. Join the San Francisco Bicycle Coalition to canvas for No on ‘G’ to save Sunset Dunes Park. Sunday, October 25, 10 a.m.-12 p.m. Marina Blvd & Laguna Street, S.F. Got an event we should know about? Drop us a line.
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Carrot Top breaks silence 1 month after reported suicide attempt: ‘Thank you for being there for me’
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Registration is open for high school winter sports
Registration is now officially open for high school winter sports for the City School District of Albany! Any student in grades 9-12 who is interested in trying out for boys' basketball, girls' basketball, bowling, cheerleading, boys' indoor track, girls' indoor track, spirit team, boys' swimming and diving, boys' wrestling and girls' wrestling is invited to register via Final Forms. Important: please note that registration for winter sports ends on Friday, Nov. 13. Practices and tryouts for winter sports begin on Monday, Nov. 16. FINAL FORMS Each season, the following must be done prior to the first day of tryouts and practices: A parent or guardian must initiate the registration process for their student-athlete in Final Forms, filling out the required forms such as Interval Sports Health History and the Athletic Consent Form. The student-athlete must sign and complete their required forms. A reminder that all students who would like to play an interscholastic sport need to have a current physical conducted within a year on file. PHYSICALS A physical conducted within the last 12 months is mandatory for any student interested in trying out for an athletic team and must be uploaded into the Final Forms platform. Families are encouraged to get a completed physical from their child's physician. If you are unable to get a physical from your child's physician, you can schedule a free physical with Whitney Young's school-based health center by calling (518) 573-2556. Additionally, the district physician will also be available to facilitate sports physicals at Albany High in room 4253 on the following dates: Thursday, Nov. 12 from 10:30 a.m.-2:30 p.m. Friday, Nov. 13 from 10:30 a.m.-2:30 p.m. Sports physicals on Nov. 12 and 13 are free and no appointment is necessary. ACADEMIC ELIGIBILITY REQUIREMENTS Please note that students must have a good attendance record and be in good standing academically to be eligible to participate in an athletic team. Eligibility is determined based on quarterly grades, and interim progress reports will serve as an important academic checkpoint for all student‑athletes. For additional details about academic eligibility, please see our Athletic Code of Conduct. For our winter teams, academic eligibility to start the season will be based on final first-quarter grades. The first marking period ends Nov. 13. Albany High offers free tutoring facilitated by Albany High teachers Monday-Thursday from 3:30-5 p.m. for students who need extra help with their academics. See this flyer for additional details. IMPORTANT DATES Seniors, please mark your calendars for Senior Media Day for winter sports, which will take place on Monday, Nov. 30. All student-athletes playing winter sports will also participate in our winter sports picture days, which will take place Tuesday, Dec. 15–Thursday, Dec. 18. Specific dates and times for each team will be shared once rosters are finalized. OPEN GYM SESSIONS Student-athletes are encouraged to check out our open gym sessions as they prepare for upcoming sports seasons. We’re looking forward to a rewarding winter sports season this year! If you have any questions, please contact the Athletic Department at (518) 475-6310. Go Falcons!
Can AI solve our mental health access problem?
Last week I asked you what worries you most about AI in health. It was close, but your top answer was “AI giving bad health advice.” Last week’s poll results: You’re in good company. This concern was top of mind at a conference I joined at Stanford last week, where researchers, clinicians, and people who build AI systems spent a day debating trust and safety in health AI. Stepping back, I’m also hearing your emerging concerns about AI’s impact on our well-being generally. I see this as a matter of public health, and we’ll take it in pieces as we learn together. Today we’ll focus on AI chatbots used for therapy for mental health. Early this month, Governor Newsom vetoed Senate Bill 903, California’s most ambitious attempt to regulate AI use for mental health. It’s at the center of active debate, and raises the questions patients, family members, citizens, and voters will face as AI moves deeper into health care. Let’s work through it. What is “AI-based therapy”? It’s really two things: purpose-built mental health apps designed to deliver structured support, and general chatbots like ChatGPT, Claude, and Gemini that people increasingly use for emotional support—even if they weren’t built for it. Spoiler alert: I don’t know whether the shift toward AI therapy is good or bad. The evidence isn’t there yet. But I do know it’s already happening, and I have some ideas about how we can roll it out with safety in mind. The therapy dilemma, in a nutshell Mental health challenges are common, and strain health and well-being across populations. Therapy (interactive dialogue with a trained, empathetic practitioner) helps many people heal. The demand for licensed therapists far exceeds the supply in California, and AI-based therapy can narrow that gap. AI-based therapy remains novel, unproven, and not well tested. Right off the bat, we can see we’re dealing with trade-offs here. Since the main driver of demand for therapy from a robot is lack of access to therapy from a human, we’ll start there. It’s too hard to find and afford a human therapist California is short roughly 55,000 licensed, non-prescribing therapists and counselors, about 40% of what we need. Psychiatrists, who rely on talk therapy as a complement to prescribed medications, are even more scarce. Eight counties have none, and density ranges from 1.7 per 100,000 residents in San Benito County, to 68.1 in Marin County. My wife is a psychiatrist in Marin, and even here access is tight. If it’s hard in the best-supplied county, imagine rural Sierra County, or the San Joaquin Valley. In 2024, more than half of Californians who tried to make a mental health appointment struggled to find a provider who took their insurance, compared with 14% for physical health care. When Senate staff posed as “secret shopper” patients and called 120 mental health providers in Medicare Advantage networks, they landed an appointment less than once for every five tries. Insurers pay behavioral health clinicians about 22% less than medical and surgical clinicians for comparable office visits. On top of that, billing denials and prior authorizations hit hardest at the solo and small practices common in mental health. Psychiatrists opt out of Medicare at the highest rate of any specialty. In many places, a cash practice for therapy fills quickly with patients paying $250 or more an hour, with no insurance paperwork at all. Families who can pay cash find providers more easily. Those who rely on insurance, including Medi-Cal enrollees, older adults, rural residents, and non-English speakers, compete for what’s left. So we can’t pretend the human system works, and we can’t blame people for turning to AI for support when they’re in distress. AI is filling the gap It’s estimated that roughly a quarter of AI users use it for mental health support. If you have internet, it’s available 24/7, it’s cheap, and it speaks your language. Uninsured adults are about twice as likely as insured adults to do it (30% vs. 14%). It feels anonymous in ways that may enable people to ask things they’re unsure or embarrassed about. The largely hidden, personal use makes it hard to study whether it’s actually helping people with their mental health issues, but researchers are trying. Does AI therapy work? A 2026 analysis of nearly 40 randomized trials found chatbots showed a real but small reduction in depression symptoms. But most of these trials were compared to an alternative of no therapy, not a human therapist. So the benefit of AI therapy is probably real, but modest, and mostly untested against the alternative of human contact. We need more studies. Serious concerns OpenAI’s own estimate is that more than a million ChatGPT users each week show signs of suicidal planning or intent. These are high stakes encounters, and AI doesn’t always get it right. That’s partly because a chatbot can sound like a therapist, but it has no license, no duty of care, and it’s not clear who to hold accountable when it gets things wrong. AI is also designed to help users in whatever task they’re seeking to accomplish. People may feel like they’re getting therapy, but they’re mainly getting a convincing conversation. It’s easy for an AI companion to wander into gray areas, like playing along with “creative writing” that may be about the user’s own suicidal intent. Courts are driving safety conversations A wave of lawsuits have been filed on behalf of families claiming that chatbots pushed people they loved toward self-harm, including teens who died by suicide. The first settlements came this year. OpenAI is headquartered in San Francisco, and dozens of cases alleging that ChatGPT drove users to suicide or self-harm are now before a San Francisco judge. Character.ai has filed for bankruptcy after several states brought lawsuits accusing the chatbot of pushing dangerous content to kids. But the technology seems to be improving. Last month, an independent evaluation found that newer AI models “almost never endorse suicide.” That’s progress, but our societal appetite for even one preventable death is very low. So how do we move forward? Finding a middle ground Earlier this month the governor vetoed Senate Bill 903, a bill designed to place guardrails on the use of AI for therapy. The bill would have prohibited any AI-based platform from being advertised as psychotherapy, and would have required a licensed professional to review and approve each encounter where AI was used to support therapeutic decisions. Newsom called it overly broad, since even routine screening questions would have needed clinician sign-off. Knowing we’re already short on mental health providers, requiring human review of AI encounters may not relieve our access problems. Still, the answer isn’t no oversight. Here’s one feasible short term solution. Rather than reviewing each encounter, a licensed clinician can design the guardrails: what counts as a crisis, what triggers an immediate handoff to a human, and what gets sampled for audit each month. The AI runs inside that structure. Conversations get checked, failures get reported, and a real clinician owns the framework. Medicine already has models to learn from. The FDA process for rolling out newly approved medications is an example. After a product reaches patients, we keep watching for adverse events. Patient-facing AI needs the same “digital pharmacovigilance”: systematic tracking of harms, near misses, and the types of groups that get hurt and why. It’s also critical that users know that they can reach a human if they’re in crisis. Most chatbots now include messages like these: Bottom line The rush to use unproven AI tools for mental health support is mostly a workaround, a sign of a health system people can’t get into. We need better access to proven care from licensed clinicians. That takes reimbursement that makes accepting insurance viable, and a bigger workforce. But, built and tested well, AI could be part of the answer. It could be the 2 a.m. check-in when no one else is awake, or a way for patients to practice skills their therapist taught them. It could be the first step to get someone the right level of care, and take paperwork off clinicians’ plates so they spend more time with patients. None of this is simple. The SB 903 veto doesn’t end the debate, and the legislature will be back. In the meantime, those of us using these tools need to stay informed, ask hard questions, and hold the companies building them accountable. I’ll try to do my part, and we’ll keep learning together. Love,Matt P.S. If you or someone you know is struggling with mental health challenges, emotional distress, substance use problems, or just needs to talk, call or text 988- you’ll reach a real person— or chat at 988lifeline.org 24/7. Dr. Matt Willis is the author of Your Local Epidemiologist in California. A California native, he’s served as a primary care physician, CDC epidemiologist, and public health officer for Marin County, where he guided the pandemic response. He lives in Marin with his family and their dogs, Teddy and Ramona. Thank you Cynthia He, MD, PhD, and Parnika Saxena, MD, for their guidance in preparing this article. Cynthia works in an outpatient mental health clinic, treating patients who have Medi-Cal or, sometimes, no insurance. Parnika works in an inpatient psychiatric unit, treating patients with public or private insurance or self-pay ability. All opinions are their own and do not represent their employers.