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Wyoming Business Council Seeking Interim CEO
The Wyoming Business Council Board of Directors has announced they are accepting applications for an interim chief executive officer following the departure of Josh Dorrell, who led the agency for seven years. According to a news release, this appointment is expected to last approximately nine to 12 months while the board prepares to recruit a […]
How American Express Is Helping Business Owners Prepare for Agentic Commerce
How American Express Is Helping Business Owners Prepare for Agentic Commerce
Applications Open for County College of Morris Artificial Intelligence and Data Science Apprenticeship
MORRIS COUNTY — County College of Morris (CCM) is accepting applications through Monday, November 2, for the next cohort of its Artificial Intelligence (AI) and Data Science Apprenticeship, offering CCM students and adult learners living in New Jersey an opportunity to gain paid, hands-on experience while preparing for a career in the fast-growing fields of […]
Next Woman Up: Jamie Meeks, Director of Sports Nutrition for the New Orleans Saints
In this installment of the Next Woman Up series, Saints director of sports nutrition Jamie Meeks discusses being the first full-time dietitian at LSU, preparing for the Saints' Paris game and leaving an impact in her profession.
76ers Have One Major Advantage Cavaliers Can't Prepare For
The Philadelphia 76ers' revamped roster faces a major test against Cleveland’s continuity.
Bellevue Counseling Program Ranked #1 in Nebraska
Bellevue University's Master of Science in Clinical Mental Health Counseling program earned the No. 1 ranking among Clinical Mental Health Counseling master's programs in Nebraska in the 2027 rankings published by MastersinCounseling.org. The ranking recognizes Bellevue University's online, CACREP-accredited graduate program for preparing studen...
FAU Receives NSF Grant to Prepare Future AI, Robotics Workforce
FAU engineering researchers have received a $500,000 NSF grant to integrate AI, digital twins and robotics experimentation, advancing research and training in intelligent systems.
Giant iPhone Duo Installations Spotted at Apple Fifth Avenue
Apple is preparing what appear to be giant iPhone Duo displays outside its Fifth Avenue store in New York ahead of the device's launch on Friday, October 23. Photos from users on X show the structures on the plaza beside the glass cube. Their designs are hidden by wrapping and black covers, so it remains unclear exactly how Apple will present the device. October 21, 2026 The outdoor installations accompany a substantial retail push inside the store.
Beşiktaş vs Crystal Palace: Preview, Team News And Expected Lineups
Crystal Palace prepare for Beşiktaş in bumper Europa League tie.
Driverless taxi service eyes Spokane-area launch
A Spokane-based startup is preparing to introduce autonomous taxi service to the Inland Northwest, with plans for a fleet of driverless Tesla Cybercabs and an operations hub in Liberty Lake.
Buccaneers Have an Extremely Crowded Wednesday Injury Report
The Bucs have a lot of players on their first injury report of the week as they prepare for a showdown with the Carolina Panthers.
New Business Spotlight: Simpson’s Meats brings farm-to-table tradition to Belltown
A new addition to Belltown Commons is bringing a little old-fashioned butcher-shop service to one of Northwest Knox County’s growing communities. Simpson’s Meats Butchery & Market opened its second Knoxville-area retail location Sept. 28 at Belltown Commons in Powell, offering fresh beef, pork, chicken, specialty cuts and prepared foods. The locally owned business has deep […]
Sports/Rec calendar: Oct. 23–Nov. 1, 2026
Upcoming recreation opportunities and college and prep sports
Sen. Thom Tillis on his proudest moment in the Senate
CNN’s Jake Tapper talks with Republican Sen. Thom Tillis about his greatest accomplishment while in the Senate, as he prepares to leave at the end of his term. This is part of an ongoing series where Jake Tapper joins politicians from both sides of the aisle in some of their favorite places to discuss how they got to where they are today. Watch the full interview on CNN.com/AllAccess.
Giant iPhone Duo installations spotted at Apple Fifth Avenue ahead of launch
While the iPhone Duo doesn’t launch until Friday, preparations are already underway at Apple’s flagship Fifth Avenue store in New York for the big day.
Science Hill, West Ridge preparing for crucial Big East clash
Sometimes you've just got to tip your cap to the other team.
MTSU named to Billboard’s list of top music business schools for 12th straight year
Middle Tennessee State University’s Department of Recording Industry has been named among Billboard’s top music business schools for the 12th consecutive year, continuing a tradition of preparing students for careers across the music industry.
MTSU named to Billboard’s list of top music business schools for 12th straight year
Middle Tennessee State University’s Department of Recording Industry has been named among Billboard’s top music business schools for the 12th consecutive year, continuing a tradition of preparing students for careers across the music industry.
Livermore police responding to possibly armed suspect barricaded in business
The LPD advised the public to avoid the area and prepare for possible road closures as negotiators attempted to make contact with the suspect.
Davenport University hosts sports event safety and security training
Recent security incidents at Michigan universities and at events around the country have reinforced the need for public safety and law enforcement teams to be prepared and proactive, especially in situations where large groups gather. As part of an ongoing effort to improve response protocol in the region, Davenport University’s Public Safety team, in partnership with
Sam LaPorta expresses disappointment Lions haven't extended him yet; TE prepared to 'get paid somewhere else'
LaPorta remains committed to playing for Detroit, but he conveyed on Barstool's "Pardon My Take" that he's dismayed the franchise hasn't given him a new deal by now.
“Chicago Fire” prepares for ‘emotional’ goodbye to Joe Cruz in first look at 300th episode (exclusive)
“We couldn’t think of a better way to honor the milestone than by making ‘300’ a love letter to our dear friend and brother, Joe,” says showrunner Victor Teran.
A ‘coup’ in Congress? Democrats are gaming out a Jan. 3 nightmare
Democrats panicked over President Donald Trump’s pre-election attacks on California are preparing for a GOP-led effort to maintain control of Congress by mutiny.
Preparing for cascading climate risks
Arizona communities already understand that climate hazards rarely occur in isolation. Extreme heat can drive up electricity demand, drought can increase wildfire risk, and flooding can disrupt transportation, water systems, housing and local economies. Because these systems are connected, a disruption in one can quickly threaten public health and safety.
Tea has benefits for heart health — but not if it’s scalding hot
The way you prepare and drink your tea could influence your cardiovascular health, according to a new study.
'I've waited 34 years for this'
When Viking FK ended a 34-year Norwegian title drought last year, it was days like these they were dreaming of - preparing to visit Aston Villa in the Champions League.
Prepare to be scared at Maggie Valley's ScreamFest
Ready for a frightfully fun Halloween weekend? Maggie Valley is turning up the scares with ScreamFest Friday and Saturday, Oct. 30 and 31, from noon-midnight both days, at Maggie Valley
PHP maintainers tell Web devs to prepare themselves for critical security patches
Unconfirmed report claims PHP2Shell exploit remotely executes code on PHP sites.
Union Colony Prep vs. Aurora Science & Tech: Colorado High School Girls Volleyball, Oct. 21, 2026
Union Colony Prep at Aurora Science & Tech, Colorado high school girls volleyball, Oct. 21, 2026, 4:30 PM. Records, rankings, rosters and head-to-head.
New Richland Lab Could Transform How Scientists Study Microbes and Boost Regional Jobs
The BriefGroundbreaking held Tuesday: PNNL officially began construction on the M2PC lab, a 30,800-square-foot facility funded by the U.S. Department of Energy's Office of Science that will study soil microbes to improve crop productivity and develop new biotechnology applications. The facility will be open to researchers from around the nation and the world.Research timelines could shrink dramatically: The facility's automation and AI capabilities could reduce experiments that currently take six months to just 72 hours, allowing scientists to explore more possibilities faster than ever before.New jobs coming to the Tri-Cities: The project is expected to create positions for automation engineers, AI experts, roboticists, technicians, and skilled craftspeople, with the facility opening in 2029.RICHLAND, Wash. — Pacific Northwest National Laboratory broke ground Tuesday on a first-of-its-kind facility that could accelerate scientific discoveries about the microscopic organisms living in soil—organisms that may hold the key to growing more food and developing new energy technologies.The Microbial Molecular Phenotyping Capability, or M2PC, represents a significant investment in automation and artificial intelligence to speed up research that traditionally takes years to complete. The 30,800-square-foot facility will house more than 100 connected automated instruments designed to study microbes at a pace and scale never before possible.Reshaping Agriculture's FutureThe M2PC facility will not put a new tool directly into a farmer's hands tomorrow morning, but it is actively reshaping the commercial pipeline to solve agriculture's biggest headache with biologicals: inconsistent field performance. For years, PNNL researchers have explored how microbes work and how they might help produce useful materials, advance energy technologies, and address challenges involving critical materials and minerals. But those experiments have been limited by what researchers could accomplish by hand."They can be used to provide nutrients to a plant so that the plant would grow more. So, like increasing your crop productivity, for example," said Douglas Mans, PNNL's Associate Laboratory Director for Integrated Discovery Sciences.PNNL's own research shows soil microbes can help plants access nutrients and withstand drought—benefits that could prove crucial as farmers face growing environmental pressures. The M2PC facility will allow scientists to identify and optimize useful microbes faster than ever before, accelerating the development of biological solutions that actually work consistently in the field.What Makes M2PC UniqueThe Microbial Molecular Phenotyping Capability differs from traditional research labs because it operates as a first-of-its-kind, AI-enabled autonomous laboratory designed to shrink experimental timelines from years down to months or weeks. The M2PC lab will connect more than 100 automated instruments to grow microbes, prepare samples, measure their behavior, and link observations to the molecular processes behind them. Artificial intelligence will help analyze results and guide the next experiments, allowing scientists to explore more questions faster.Deb Gracio, PNNL Director, emphasized the transformative potential during Tuesday's groundbreaking ceremony: "Research that has taken years will become possible in months and hopefully in weeks."That acceleration is already being demonstrated. PNNL's smaller automated lab, called the Anaerobic Microbial Phenotyping Platform or AMP2, completed three experimental cycles in just 72 hours—a process that normally would have taken about six months."That normally would have taken us about six months … and we were able to do that in 72 hours," Mans said.The AMP2 laboratory is not being closed or replaced. Instead, the current 1,800-square-foot laboratory serves as an active prototype and precursor for the much larger M2PC facility. AMP2 will continue operating as a separate lab designed to run anaerobic experiments—those conducted in the absence of oxygen—while M2PC will focus on aerobic research.Broader Applications Beyond AgricultureWhile improving crop productivity is one important application, the M2PC facility is designed to support research into multiple areas critical to national priorities. The lab will advance research into biofuels, manufacturing materials, and energy technologies. It will also help researchers understand how microbes respond to environmental changes and how to design biological systems for biotechnology applications.As a flagship component of the Department of Energy's Genesis Mission, M2PC represents a significant investment in using artificial intelligence and automation to accelerate U.S. scientific discovery. Dorothy Koch, Associate Director of the DOE Office of Science Biological and Environmental Research program, highlighted the facility's importance during the groundbreaking."M2PC will accelerate biological discovery and design," Koch said, noting that the facility is expected to conduct a minimum of 500 strain experiments per week, 100 microbiome experiments per week, and take a million measurements per month.Economic Opportunity for the RegionBeyond the scientific breakthroughs, the M2PC project represents significant economic opportunity for the Tri-Cities region. The facility will require hiring automation engineers, AI experts, technicians skilled in operating robotics, and specialized craftspeople to build and maintain the sophisticated equipment."We're anticipating that type of hiring," Mans said when asked about job creation.PNNL has already begun recruiting talent nationally and internationally for positions related to the smaller AMP2 lab, bringing automation engineers from cities like Boston and San Francisco to work in the region. The M2PC facility is expected to accelerate that trend."This capability won't really exist anywhere else in the world," Mans said, suggesting the facility could become a draw for scientific talent seeking to work on cutting-edge biotechnology research.Timeline and Next StepsThe M2PC facility is expected to open in 2029. Between now and then, construction crews will level and prepare the ground, while the building takes shape. Simultaneously, Ginkgo Bio Works, the automation contractor, will build the facility's automation components off-site so they can be installed as the building is completed.In the interim, PNNL researchers and the broader scientific community will begin planning the first experiments to be conducted in the facility, ensuring research is lined up and ready to begin as soon as the doors open.The groundbreaking ceremony included representatives from the Department of Energy, PNNL leadership, and elected officials at the federal, state, and local levels, underscoring the project's significance to the region and the nation's biotechnology future. News The U.S. Department of Energy Secretary tours Pacific Northwest National Laboratory Dan Hanson, Apple Valley News Now News Beyond DNA: Scientists Explore New Frontiers in Biology Research Dan Hanson, Apple Valley News Now News TRIDEC optimistic that Hanford, PNNL will see funding in national budget Robert Desaulniers News Big picture science: monitoring the Yakima River Basin News PNNL research could shape the future of fighting fentanyl COPYRIGHT 2026 BY APPLE VALLEY NEWS NOW. ALL RIGHTS RESERVED. THIS MATERIAL MAY NOT BE PUBLISHED, BROADCAST, REWRITTEN OR REDISTRIBUTED.
Ryan Day Reveals Concerning Julian Sayin Injury Update
Ohio State coach Ryan Day announces Julian Sayin is out indefinitely and reveals the Buckeyes are preparing for a potentially season-long absence.
Health professionals prepare for 2026 flu season
Medical professionals say it’s not too late to stop the spread. For the past few weeks, local health organizations have hosted clinics urging people to get their flu shots.
It Looks Like GTA 6's Beer Brands Are About to Become Real
It appears that Rockstar may be preparing to sell beer brands from GTA 6 in real life.
PHP warns admins of two critical flaws, emergency patches coming tomorrow
The PHP security team is warning administrators to prepare for emergency security updates tomorrow to address two critical vulnerabilities, as information about the flaws has reportedly leaked ahead of their scheduled disclosure.
Palmetto Sports Daily: Big tests ahead for Gamecocks, Tigers
PSD returns with plenty from another “Talkin’ Tuesday” as Clemson and South Carolina prep for huge conference matchups this weekend.
Atlanta Hawks strike in-market streaming deal with Prime Video
As the Atlanta Hawks prepare to tip-off their season Wednesday against the Orlando Magic, the team has moved to create one of the more fan-friendly streaming arrangements in the entire league. The Hawks announced Tuesday that all local broadcasts will stream on Amazon Prime Video for fans within the team’s regional footprint at no extra…
Gratitude and honor
Louis Campos, who works in the facilities electrical department, installs new ground lights on the Northeastern Veterans Memorial in preparation for the upcoming Veterans Day ceremony on the Boston campus.
Everton's Right-Back Conundrum Ahead of Arsenal
Everton are preparing to face Arsenal in the Premier League, and David Moyes could have a decision to make at right-back.
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.
Cane-Champ-Puck-Stormy-Whaler-credit-Museum-of-Life-Science-2048x1536.jpg
Endangered red wolf pups Cane, Champ, Puck, Stormy and Whaler prepare for transport from Durham to a new conservation center in New York.
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.
Rays’ Peralta Reacted to Facing Brewers in World Series
Fresh off winning the ALCS MVP award, Tampa Bay Rays ace Freddy Peralta prepares for an emotional World Series against his former team, the Milwaukee Brewers.
UW Health's East Madison Hospital unveils $140 million expansion
Additions include six new operating rooms, bringing the hospital’s total to 20 operating rooms. There will also be increased surgical prep and recovery bay capacity — increasing from 23 to 60. Inpatient beds are increasing from 84 to 98.
The non-gamer CEO racing to save Microsoft’s Xbox
Asha Sharma has cut thousands of jobs, consolidated studios, and rewritten the playbook. Insiders wonder if she’s saving the brand or preparing it for a non-Microsoft future.
More Than Athletes: How UT Health Sciences Is Preparing the Next Generation of Sports Pharmacists
As the sports pharmacy field grows, UT Health Sciences College of Pharmacy students are learning to explore this career path.
More Than Athletes: How UT Health Sciences Is Preparing the Next Generation of Sports Pharmacists
As the sports pharmacy field grows, UT Health Sciences College of Pharmacy students are learning to explore this career path.
Best Trader Joe's items for meal prep, according to former employee
As a former Trader Joe's employee and longtime shopper, I know the chain well. Some of my favorite items are the soy chorizo and miso-ginger broth.
Trump takes transactional politics to a new level at latest campaign rally
Trump effectively told Kansans he’s prepared to hurt the state on purpose if he dislikes an election result, which is every bit as remarkable as it sounds.
Trump takes transactional politics to a new level at latest campaign rally
Trump effectively told Kansans he’s prepared to hurt the state on purpose if he dislikes an election result, which is every bit as remarkable as it sounds.
Advito Adds New Service To Help Organizations Prepare Emissions Data
Tool is said to provide an independent assessment of processes and methodologies
Patriots News: Vrabel – ’Everybody prepares as a starter’
Daily news and links for Tuesday, 10/20/26
In-Person Briefing: Fixing the No Surprises Act
The event will feature real-life perspectives from businesses/employers and physicians on navigating the IDR process and resulting outcomes.
JMU Military Science program prepares future military leaders
JMU’s Army ROTC program combines rigorous training, hands-on leadership development, and strong alumni support to prepare cadets for success as future military officers.
Dodgers notes: Shohei Ohtani and what might’ve been
As the baseball world prepares itself for a low-cost World Series, Dodgers fans might still be looking backwards at what might’ve been. Sonja Chen on MLB.com focuses on how the team managed Shohei Ohtani’s injuries, and what perhaps they might’ve done differently. “I haven’t been able to really come to grip in terms of what […]
Ten Hag opens up on Ronaldo fallout at Man Utd
Erik Ten Hag has opened up about his fractured relationship with Cristiano Ronaldo during his time at Manchester United, claiming the Portuguese forward was not prepared to meet the physical demands o...
Cristiano Ronaldo ‘let Man Utd down’ with lack of effort
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A note to readers: Science, accountability and elections
Dear readers, As early voting begins, I wanted to share some news — and why it connects to the decisions we make at the ballot box. I’ve been selected for the inaugural cohort of the South Atlantic Climate Journalism Hub mentorship program, hosted by Covering Climate Now. I’m excited to join this group, learn from scientists and fellow journalists, and expand my science reporting. Science directly ties to governance. Local officials make decisions about where development goes, how infrastructure is maintained, what emergency preparations receive funding, and how communities rebuild after disasters. Understanding the evidence behind those decisions helps us evaluate whether our government is serving us well. Here in western North Carolina, those connections are all around us, in Lake Lure and beyond. Flood maps inform decisions about property and development. Engineering assessments help identify risks at dams and bridges. Rainfall forecasts guide emergency preparations. Geological information helps explain landslide hazards. Water testing gives communities information they need to assess conditions. Meteorologists’ knowledge and public perception of weather events shape public safety. Each involves scientific or technical knowledge. Each also raises questions about public responsibility: What did officials know? How did they use that information? What did they tell the public? What did taxpayers receive for their money? A study can identify a problem. Elected officials still have to decide what to do about it, how to pay for it, and how to explain their choices. Reporting should examine both the evidence and the response. That is where I want to strengthen my work. My reporting on Helene recovery, infrastructure, flooding, public safety, and public spending has repeatedly brought me to questions that require scientific expertise alongside public records. This mentorship may help me better understand the research, ask more precise questions, and explain the answers clearly. I also bring the perspective of someone living with these concerns. I live downstream of Lake Lure Dam, and landslides affected my property during Helene. Those experiences bring urgency to my questions. Careful reporting helps establish the answers. Readers deserve to know what the evidence shows, where uncertainty remains, and whether officials accurately describe the information guiding their decisions. You also deserve scrutiny of proposed solutions: what they cost, what they are expected to accomplish, and what risks remain. Access to that information matters. As a mostly deaf journalist who relies on written communication, I will continue pressing for written public warnings, records, and explanations that people can read and use in real time. As you consider the candidates seeking your vote, consider how they approach evidence, preparedness, and transparency. Do they support local journalism, even when it’s not parroting a press release? Do they explain weather events clearly in plain English and explain their decisions after them? Make supporting records available? Acknowledge uncertainty? Follow through when a report identifies a risk? Those are practical questions about governing. Thank you for supporting Cops & Congress and the work that makes these questions part of the public conversation. I’m grateful to David Dickson and the CC Now team for this opportunity, and I look forward to bringing what I learn back to you. Annie DanceEditor & Publisher, Cops & Congress — Learn more about this newsletter, ethics policy, how you can help shape this work, and support it. Follow on X and Facebook. Send constructive criticism, fan mail, and tips with public documents for future stories: CopsandCongress@gmail.com ICYMI: View the Cops & Congress archive — Annie Dance is the publisher of Cops & Congress, a newsletter that analyzes what happens when crime, courts, disaster, democracy, and small-town policies collide. Views expressed here are covered by the First Amendment. Dance has a Bachelor of Arts from Manhattan University in Communication with a focus in Journalism and Government. She has been a journalist for over 20 years. Share Upgrade now or give a gift subscription
'We lost the battle': Local businesses prepare as DEI crackdown hits OEV
New Florida law forces Tallahassee to replace its minority business aid program with a neutral alternative. Some business owners worry about the future.
The New Reality of El Niño: Why “Business as Usual” Is No Longer an Option
A rapidly intensifying El Niño is increasing risks to operations, supply chains and workforces worldwide. Learn practical strategies to strengthen resilience and prepare for greater weather volatility
How Orthofeet built a nine-figure DTC business on Shopify without an in-house developer
Orthofeet built a nine-figure DTC business on Shopify without an internal developer. Now they are using Sidekick, customer research, and Shopify POS to prepare for their first owned store.
Election officials weigh in on how be prepared before heading to vote
Elections officials give tips on what to do if you need special help.
Dan Campbell Reveals Surprising Possibility for Lions Offensive Line
The return of Cade Mays could create an unexpected opportunity for Juice Scruggs. Dan Campbell is considering ways to keep both offensive linemen involved as Detroit prepares for Green Bay.
Angels of Assisi to hold 4th annual Pet Health Fair at Berglund Center
Angels of Assisi is preparing for their 4th annual Pet Health Fair on Saturday, Oct. 24!
Israel prepares for a high-stakes election
Israel holds an election on October 27th, electing members of the Knesset, their parliament. And this election will decide the future of Prime Minister Benjamin Netanyahu.It is the first vote since Hamas-led attacks of October 7th, 2023 and the Gaza war. And a major question shaping the elections is whether the prime minister should be held responsible for the Hamas attacks. We go to Israel, to hear how Israelis are thinking about this election.Support public media with NPR+ and enjoy perks for over 25 podcasts like this one. This show’s perks include sponsor-free listening. Learn more at plus.npr.org.
WA Department of Social and Health Services eyes cuts, modernization for 2027
Washington’s largest state agency is preparing for a difficult 2027 budget by pursuing two strategies at once: pulling back where it can while trying to modernize how it delivers services.
WA Department of Social and Health Services eyes cuts, modernization for 2027
Washington’s largest state agency is preparing for a difficult 2027 budget by cutting back on expenses and modernizing its services.
Part of G10 garage demolished as UT prepares for 865 Neyland entertainment district
Nashville News, Weather, and Sports
New closures set to begin on I-70, Colorado businesses offer travelers welcome break from traffic
More closures are coming up as the I-70 Floyd Hill Project continues, and Two Bears Tap and Grill is preparing for an increase in travelers looking to take a break.
The Race Is On for Trump Staffers to Hire Lawyers in Case Democrats Win Midterms
Cabinet officials and ordinary staffers are preparing for the possibility that Democrats could launch probes if the party takes back Congress.
WVU Parkersburg launches Cloud Computing program connecting technical skills to business needs
PARKERSBURG, W.Va. — WVU Parkersburg is launching a new Cloud Computing program designed to prepare students to build and manage cloud resources while understanding the costs and business decisions behind
Katseye On Being Victoria’s Secret Performers, Their LA Faves & Erewhon Orders
NYLON talks to girl group Katseye before their Victoria's Secret fashion show performance about their day-of prep, LA routines, and earliest VS Show memories.
Political organizations on campus gear up for Election Day
Students on Elon University’s campus are getting prepared for the midterm elections. Two groups on campus are trying to do their part to get students excited and interested in local and national elections. The College Democrats and College Republicans chapters at Elon have both been involved in civic engagement, bringing local candidates to campus and trying to bridge the gap for politically disengaged students at Elon. To do this, both organizations have hosted or participated in events that emphasize the upcoming election.
QED Science adds preprint scoring to research discovery | ETIH EdTech News
QED Science has introduced Insights Feed, combining personalized research recommendations across 250 life science subfields with quality scores for selected preprints. ETIH’s edtech news coverage examines the tool’s features, use of unpublished work and limits of the launch claims.
Iran Warns of More Devastating Response to Any US-Israeli Aggression
TEHRAN (Tasnim) – Secretary of Iran’s Supreme National Security Council Mohsen Rezaei warned that Iran’s Armed Forces have prepared a more devastating plan for any new military adventure than their response during the previous 12-day and 40-day US-Israeli wars of aggression.
Chiefs QB Patrick Mahomes Reveals Personal Mistake Before Chargers Game
Kansas City Chiefs quarterback Patrick Mahomes admits to a family blunder while preparing to face the Chargers in Week 6. The post Chiefs QB Patrick Mahomes Reveals Personal Mistake Before Chargers Game appeared first on HEAVY.
Politics: House Democrats preparing affordability agenda for potential majority win
Democratic leadership in the U.S. House of Representatives last week announced their plans for an agenda focused on tackling affordability, signaling confidence within the party that a flip of the
Anthropic’s Jack Clark Sees AI Supercharging Science—and Governments Need to Prepare
Jack Clark outlines how AI-assisted scientific discovery could boost research and growth, with safeguards and human oversight.
Morning Break: Saints prepare to face Giants, Chris Olave returns to practice
A collection of headlines and news about the Saints and the NFL for Saturday, October 17
‘Marva to a T:’ Craft prepares for final show at WYO Theater
The upcoming Fall Premiere production, “Anything Goes” will be Marva Craft’s last before she retires from directing the WYO Theater stage.
Bundesliga Heavyweights Collide: Bayern And Leipzig Unleash Their Attacking Stars
Bayern Munich and RB Leipzig are preparing for Saturday's Bundesliga showdown at the Allianz Arena, with the predicted lineups offering an early indication of how both teams could approach one of the biggest fixtures of the weekend.
Healthcare costs top survey of Americans’ biggest economic concerns, followed by gasoline, food, utilities
The cost of healthcare is the top economic issue for voters, according to a recent national survey, as politicians in Arkansas and across the U.S. prepare to make their final pitches ahead of the November midterm elections.
Part of G10 garage demolished as UT prepares for 865 Neyland entertainment district
Knoxville, TN News, Weather, and Sports
Advocates prepare for the potential of ICE agents at polls in N.Y.
The New York Immigration Coalition says it’s “preparing for everything that could potentially be possible” this election season.
Advocates prepare for the potential of ICE agents at polls in N.Y.
The New York Immigration Coalition says it’s “preparing for everything that could potentially be possible” this election season.
Build Stakeholder Trust Before You Need It
Preparing relationships for change deserves as much attention as preparing the business.
Airline High School students run their own store to build real-world business skills
Airline High School students are getting a hands-on lesson in business through the Viking Exchange, a student-run store designed to help prepare them for the workforce and life after graduation.
Park City business groups express concerns about employee retention, worker housing
The Park City municipal government recently compiled comments from business groups in preparation for a discussion about economic development issues.
Tottenham Looking For A Striker In January
Tottenham Hotspur are reportedly preparing to strengthen their first-team attack when the January transfer window opens, according to TEAMTALK, with Roberto De Zerbi said to have identified five potential striker targets.
Excitement mounts as new telescope nears first light
As the Fred Young Submillimeter Telescope nears first observations, Cornell scientists are preparing groundbreaking surveys of the early universe, galaxy formation and dark matter.
Local health insurance broker highlights changes coming to Medicare, healthcare policies in 2027
As over a million Coloradans review their healthcare plans for Medicare’s open enrollment period — running from Oct. 15 to Dec. 7 — a local health insurance broker is preparing
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.
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.
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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
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