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“Something out of Science Fiction” – Astronomers Discover a Star That Glows a Bizarre Shade of Green
A star’s color usually reflects its temperature, but white dwarfs can break that pattern, with models revealing unexpected shades of green, pink, and purple. A star that has drawn in rocky debris from its planetary system would appear chartreuse green to the human eye, according to new calculations by University of Warwick astronomers. As far
There Is One Thing Verity Does Better In The Movie Than In The Book That I Wouldn't Have Expected
The writing process makes more sense in the movie.
PS6 RAM and Storage Alone Reportedly Cost Sony Over $680, Claims Leaker
The memory crunch looks like it is hitting the PlayStation 6 harder than expected. Hardware leaker KeplerL2 claims on NeoGAF that the RAM and NAND flash storage in Sony's next console alone cost over $680. He posted it as a reply to a forum member who floated $680 as a possible subsidized retail...
Chernobyl’s Radioactive Debris Is Defying Scientists’ Expectations 40 Years Later
Some of Chernobyl’s radioactive debris is more resilient than scientists expected, offering clues to when the material trapped inside could escape into the environment. Radioactive dust still contaminates the soil around Chernobyl four decades after explosions scattered debris from the nuclear reactor in Ukraine in 1986. The fragments measure just 8 to 50 micrometers across
Intel Nova Lake Reportedly Ditches The Expected Core Ultra 400 Name For Laptop H And U Chips, As All Five Families Adopt Core Ultra 4000
Intel's upcoming Nova Lake processors will adopt a unified Core Ultra 4000 naming convention across all families, launching in Q1 2027.
Chancellor to pitch budget at wealth creators
John Healey is expected to cut red tape requirements, particularly for smaller businesses
Galaxy S27 Pro and S27 Ultra batteries seen for the first time
Samsung is expected to launch the Galaxy S27 series early next year. Ahead of the launch, the company has received safety clearance for the batteries inside the
Insider Reveals Michigan’s Starting QB vs. Indiana
Michigan is reportedly expected to start Tommy Carr over Bryce Underwood against Indiana after the freshman sparked a comeback win over Penn State.
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.
Detroit Tigers’ Biggest Offseason Problem Is Worse Than Fans Realize
The Detroit Tigers blew 32 saves in 2026, but their biggest offseason concern runs deeper. Here's why fixing the bullpen could be harder than expected.
OBIC Business Consultants (TSE:4733) Stock Could Be 23% Overvalued On Cash Flow
OBIC Business Consultants has delivered a strong share price run in recent years, which naturally raises a question about what investors are paying for its underlying cash flows today. With a Discounted Cash Flow (DCF) estimate available, the focus shifts to how its current price lines up with the cash the business is expected to generate over time. Over the past 5 years the stock has returned 78.1%. Anyone looking at OBIC Business Consultants now is effectively asking whether that kind of...
Celtics Get Unexpected Devin Carter Update After Roster Decision
Boston Celtics guard Devin Carter faces an unexpected setback just one day after securing a two-way contract. The post Celtics Get Unexpected Devin Carter Update After Roster Decision appeared first on HEAVY.
Vikings Face Criticism Over J.J. McCarthy From Unexpected Voice
Barstool Sports owner and Michigan alum Dave Portnoy went to bat for former Minnesota Vikings and current New York Giants quarterback J.J. McCarthy. Portnoy spoke out about McCarthy’s time at the Vikings, as the latter made his debut with the Giants. McCarthy stepped in for Jameis Winston in the Giants’ game against the New Orleans […] The post Vikings Face Criticism Over J.J. McCarthy From Unexpected Voice appeared first on HEAVY.
Scientists Discover a Surprising New Effect of a Popular Blood Pressure Drug
A drug for high blood pressure could inspire future treatments for people with normal readings, thanks to an unexpected effect on the body’s energy-burning fat. Losartan already helps people control high blood pressure. New research suggests it could have a second use in activating brown fat, a tissue that burns energy to produce heat and
Five takeaways from the Eagles' statement on Jalen Hurts' health
Jalen Hurts is expected to recover fully, but his extended absence forces the Eagles to reassess their quarterback plans and struggling offense
Brewers Name Expected World Series Game 1 Starter
Fresh off extensive rest, Milwaukee Brewers' Jacob Misiorowski is set to take the mound in Game 1 of the World Series.
Val Booted Next DWTS Episode, Jenna Dewan Dance With Alan
“The well-being of everyone who works on 'Dancing With the Stars' is non-negotiable. Val’s social media post was inappropriate and does not reflect the values or standards expected of anyone connected with the show. As a result, he will not participate in next week’s show," BBC Studios said in a statement.
Biketoberfest brings crowds to Daytona Beach, but not all businesses see a boost
Biketoberfest was expected to bring up to 125,000 people to Daytona Beach over four days, but one local restaurant owner says the motorcycle event slowed down his business as regular customers stayed away.
I suspected cancer lurked in my body. I hoped this test would ease my fears.
The FDA is expected to approve a new kind of blood test that may allow earlier diagnosis and less invasive, more effective treatment. But doctors warn of drawbacks.
Shingles vax: A cash cow? | Investors Lab
Nobody had to twist my arm to convince me to get the shingles vaccine. A few scary anecdotes about the horrors of contracting herpes zoster (pain, unsightliness and potentially permanent nerve damage, for starters) were good enough reasons for me. Turns out the two little jabs I received a few years back may offer big returns: unexpected multiyear protection for the ticker. Science News’s Meghan Rosen delivers the good news.
State, local leaders break ground on Bibb County Health Science Academy
The Bibb County Health Science Academy is expected to open in fall 2028.
Lakers Depth Chart For Final Roster After Dalton Knecht Release
T he news of the Los Angeles Lakers releasing Dalton Knecht confirms the final roster entering the NBA regular season. Bronny James and Jaden Hardy survived the cut and will make the roster to keep their jobs. Knecht was not expected to get strong playing time, but he removes a player who could give the […] The post Lakers Depth Chart For Final Roster After Dalton Knecht Release appeared first on HEAVY.
Scientists discover a surprising twist in Japan's 7,300-year-old volcanic apocalypse
A catastrophic volcanic eruption 7,300 years ago devastated Japan, but new research reveals that its impact on prehistoric populations was far more complex than previously believed. While some communities disappeared or declined, others unexpectedly flourished as survivors migrated, adapted, and found new ways to thrive.
Manchester United will consider Julian Nagelsmann if Michael Carrick sacked
Julian Nagelsmann is expected to be a leading candidate for the Manchester United job if the club decide to sack under-fire head coach Michael Carrick.
State, local leaders break ground on Bibb County Health Science Academy
The Bibb County Health Science Academy is expected to open in fall 2028.
Clients, employees left hanging as NH wedding photography business files for bankruptcy
Kasey Fedorchuk and her fiancé Joshua Logan are set to tie the knot on Halloween, but just weeks before the couple will say, "I do," an unexpected email hit their inbox.
Want Apple's folding iPhone? Duo you have patience?
Expected ship dates for Apple's iPhone Duo, the company's first foldable phone, have already slipped from October to January 2027.
200 supporters rally for Hinojosa as Abbott is expected to campaign in Houston-area this week
Democratic candidate for governor Gina Hinojosa rallies with supporters the day before the state of early voting. The race has tightened in recent weeks. Governor Greg Abbott is also expected to spend time in the southeast Texas this week.
Denver Mayor Mike Johnston agrees to allocating $2 million to help businesses impacted by city construction
Denver Mayor Mike Johnston responded to the City Council's request for changes to the 2027 budget, in which city revenue is expected to increase slightly more than 1% from this year.
‘This is disgusting’: Nebraska’s independent Senate candidate rips dark money in politics
Democrats are hoping to whittle away at the Republican Senate majority in unexpectedly vulnerable red states like Nebraska. Incumbent Senator Pete Ricketts, a multimillionaire former governor, is defending his seat against independent challenger Dan Osborn, a Navy veteran and industrial mechanic. Osborn says he wants Congress to take back its power, end the war in Iran, lower fuel costs, so we “can worry about little league and bake sales.”
Apple Expected to Release New Products on Next Four Fridays
Apple likely plans to release MacBook Pro models with OLED displays, 14-inch MacBook Pro and iMac models with M6 chips, and/or an iPad mini 8 with an OLED display on Friday, November 6, according to Bloomberg's Mark Gurman. The devices are expected to be announced on Tuesday, October 27 or Wednesday, October 28. If this timeframe proves to be accurate, then Apple will be releasing new products for the next four Fridays, with the other dates already announced.
Apple's Touchscreen OLED MacBook Pro: Everything We Know
Apple is working on a high-end MacBook Pro, and it's nearly ready to launch. It will have several firsts in a Mac, including an OLED display and a touchscreen. Design Apple hasn't redesigned the MacBook Pro since the launch of the M1 Pro and M1 Max models in 2021, so it's due for a new look. The new MacBook Pro is expected to feature some minor design changes.
Vikings Given 'Reality Check' on Latest Trade Deadline Rumors
Minnesota’s undefeated start sparks aggressive trade speculation, but experts warn the front office to prioritize long-term assets over fleeting rentals to sustain this unexpected championship window.
Dodgers' Call Expected to be Non-Tendered
Once a postseason standout, this Los Angeles Dodgers outfielder now faces a roster squeeze.
Magic mushroom ingredient takes the fight out of aggressive fish
A psychedelic compound found in magic mushrooms appears to have an unexpected effect: calming highly aggressive fish. Researchers discovered that low doses of psilocybin significantly reduced aggressive attacks in mangrove rivulus fish without disrupting their normal social interactions. The findings suggest psilocybin may selectively calm escalating aggression rather than simply suppressing all behavior.
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.
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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.
Philadelphia Phillies Trade Prediction Lands 2X All-Star Outfielder
The Philadelphia Phillies are expected to be active on MLB’s trade market this offseason after a disappointing-ish end to the 2026 campaign. There has been a lot of speculation about who could be moved from the Phillies’ roster, but Dave Dombrowski will be thinking about making additions to the roster as well, and a solid […] The post Philadelphia Phillies Trade Prediction Lands 2X All-Star Outfielder appeared first on HEAVY.
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
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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 […]
Scientists Discover a Hidden Oxygen Source Deep Inside Earth That Could Rewrite Our Planet’s History
Ancient eruptions may have helped shape the air we breathe, with laboratory experiments revealing magma’s unexpected ability to store extra oxygen. Molten rock deep inside Earth can take up an extra supply of oxygen under pressure, according to a new study. That finding raises the possibility that rising magma could release oxygen on its way
Penn State expected to miss Bowl Games by multiple outlets
Penn State was nearly a consensus College Football Playoff pick earlier this year, and now they are expected to miss out on Bowl Games.
Forge Nano to Trade on NASDAQ as NANO After Completing Business Combination with Archimedes Tech SPAC Partners II Co.
Forge Nano common stock and warrants expected to begin trading on NASDAQ on October 22, 2026 under the symbols “NANO” and “NANOW,” respectivelyPublic listing positions Forge Nano to accelerate growth across semiconductor manufacturing equipment and advanced battery technologies DENVER, Oct. 21, 2026 (GLOBE NEWSWIRE) -- Forge Nano, Inc., a leading U.S.-based semiconductor equipment and advanced materials company pioneering Atomic Layer Deposition (“ALD”) technology for artificial intelligence (“A