Search headlines

A company says its polls were fake. Here’s what happened

A national polling organization revealed on Tuesday that the vast majority of its data had been fabricated, saying it was an “experimental project to demonstrate the vulnerabilities" of the modern political polling industry.

Oct 21 • 6:50 PM EDT • Politics • pbs.org

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.

Oct 20 • 1:47 PM EDT • Technology • bigtechnology.com

Choose Your Own Doomsday: Select from These, Scientists Say

In one scenario based on a sci-fi movie, something called “The Shimmer is interfering with the fundamental patterns of life, redefining evolutionary code.”

Oct 18 • 6:06 PM EDT • Science • scienceandculture.com

What is your worst-case scenario for the Phillies offseason?

Pessimism today, optimism tomorrow

Oct 15 • 9:00 AM EDT • Sports • sports.yahoo.com

Q&A: Expanding climate models to better capture the complexities of public health

About a decade ago, a group of climate scientists described five scenarios for the future. Called the Shared Socioeconomic Pathways (SSPs), these scenarios suggest how socioeconomic development could ...

Oct 15 • 8:40 AM EDT • Health • phys.org

Lakers Insider Suggests Shocking Jaden Hardy Trade Scenario

The Los Angeles Lakers remain in a tough spot of having to cut or trade someone before the NBA season starts. League rules see the Lakers currently one player over the maximum allowed players. Dalton Knecht continues to be the top rumored name to get cut, but Jaden Hardy remains a realistic option as well. […] The post Lakers Insider Suggests Shocking Jaden Hardy Trade Scenario appeared first on HEAVY.

Oct 11 • 9:21 PM EDT • Sports • sports.yahoo.com

What Was Kalen DeBoer Thinking?

You know the scenario. It’s a tale as old as time, or at least as old as the forward pass. A big time college football matchup is winding down. No matter how big a blowout it may be, or how close the final score is, somebody has got to win and somebody has got to […]

Oct 11 • 12:10 PM EDT • Sports • sports.yahoo.com

AI is among 17 potentially ‘catastrophic threats’ that researchers say require targeted action

More than a dozen “interconnected catastrophic threats” pose significant risk to global health and wellbeing through the remainder of the 21st century, researchers say – including the potential for extinction. But targeted action from world leaders can help avoid worst-case scenarios.

Oct 10 • 7:59 PM EDT • Health • cnn.com

GTA 6 Leaker Threatens Rockstar With Doomsday Scenario If Meme Coin Hits $30 Million

Cyberleeks is back and asking for more money

Oct 10 • 1:12 PM EDT • Technology • kotaku.com

Worst Case Scenario Confirmed For Igor Shesterkin.

A horrific update from the New York Rangers on Saturday.

Oct 10 • 12:29 PM EDT • Sports • sports.yahoo.com

If Arkansas is to beat Tennessee, it will happen in only one way

Arkansas' path to victory over the Vols is a one-track scenario

Oct 10 • 7:00 AM EDT • Sports • sports.yahoo.com

Cool chemistry trick allows new tattoos to 'turn on and off'

Researchers created multicolored tattoo inks that are activated by different wavelengths of light, allowing people to hide their tattoos in different scenarios.

Oct 9 • 11:00 AM EDT • Science • livescience.com

Business English for Workplace Communication (2026): EF English Live Recognized for Practical, Speaking-Focused Learning by Better Business Advice

Better Business Advice has named EF English Live a recommended online learning option for business English and workplace communication in 2026. It looks at how the platform uses live classes, realistic workplace scenarios, and self-paced practice to help adults communicate more confidently in professional settings.

Oct 8 • 6:00 AM EDT • Business • finance.yahoo.com

We Live In A Cold, Dead Universe, Virtually Devoid Of Life. This Is The Most Optimistic Scenario Available

Take it from someone constantly writing about the Fermi paradox; a cold, dead universe is the best we can hope for.

Oct 7 • 6:58 AM EDT • Science • iflscience.com

Worst-Case Scenario for Bucs’ Mayfield Revealed

A dislocated thumb sidelines Baker Mayfield for up to six weeks, forcing undrafted rookie Jalon Daniels to lead a winless roster and salvage Tampa Bay’s fading season.

Oct 4 • 8:01 PM EDT • Sports • sports.yahoo.com

The Reality of OKC Thunder’s Preseason Games

Mark Daigneault must prioritize development over results, forcing depth pieces into high-pressure scenarios to identify who can anchor the rotation when the Western Conference title is looming.

Oct 3 • 9:27 PM EDT • Sports • sports.yahoo.com

Taxes from data center electricity helps lower health insurance rates for 200,000 Virginians. There may be a catch to this revenue stream, though.

Democrats celebrated the connection between these two events. However, this could create a scenario where Virginia has a stake in seeing more data centers built.

Oct 1 • 4:15 AM EDT • Health • cardinalnews.org

'Revolutionary scenario' - German women's Bundesliga mulls play-offs

The German women's Bundesliga is considering introducing play-offs for the championship, promotion and relegation after launching the sale of media rights for the first time since announcing a split from the German Football Federation. The split will fully come into force at the start of next season and the Bundesliga has issued TV rights tenders including a "revolutionary scenario" featuring play-off games for the first time.

Sep 30 • 4:48 AM EDT • Sports • sports.yahoo.com

Deloitte Model Explores $527 Billion Growth Opportunity in US Women's Health Through Health Promotion, Prevention and Early Detection

/PRNewswire/ -- Key takeaways Prevention could expand health span: Under a prevention and improved disease-management scenario, women's health span could...

Sep 29 • 4:02 AM EDT • Health • prnewswire.com

Your 2026 MLB Wild Card Series announcing schedule

Major League Baseball revealed the television schedule and scenarios for the 2026 postseason’s Wild Card Series on Sunday. Details have since emerged about the announcing crews that will call the games across NBC platforms. As was the case during the regular season, local analysts will be in the booth to give each broadcast a familiar…

Sep 28 • 8:00 AM EDT • Sports • sports.yahoo.com

Art that serves others: How a Harnett County muralist is making a lasting mark in her community

Van Goat Studios, which has been operating since 2019, has allowed Johnson to express herself and reflect the spirit of local communities through murals. Photo provided by Elyse Johnson.Elyse Johnson of Van Goat Studios in Dunn wants to spread her artistry and make a lasting mark in her community. Van Goat, which has been operating since 2019, has allowed Johnson to express herself through murals and decorating electrical boxes in the urban landscapes of North Carolina. On top of traditional mural painting, Johnson offers what she calls “portable murals,” an option tailor-made for structure owners who do not want to commit to a design for their wall.“A contractor builds a framed piece of wood, and then they can frame the ‘mural’ onto the wood, whether it’s into their building, whether it’s interior or exterior,” Johnson said. The beginnings of Johnson’s journey into establishing Van Goat Studios reflect the teachings she wants artists to take away today: everything is a learning opportunity. When she started Van Goat, she shared it was a joint venture with a business partner. “I mainly did that because I didn’t feel like I was ready to go and do this on my own,” Johnson said. Her business partner eventually dropped out of the project, deciding she wanted to pursue other forms of art. That is when Johnson was thrust into growing her business on her own during and in the aftermath of the COVID-19 pandemic. “I had built up my confidence enough to go out and reach new heights,” she said. “And I was probably one of the few that benefited from COVID.”The moment presented a silver lining for Johnson. One of her first projects was a Farmers Day mural for the town of Coats. “When COVID-19 hit, Coats was not able to hold their annual festival, so they had a little bit of savings. They decided they wanted to do something for their community without getting anyone sick,” Johnson said.From there, word of mouth spread. Now, Johnson has an organic way of approaching projects. “Like a lot of muralists, if I feel inspired by a building, I will just go up and talk to that building owner and tell them a mural is something they should consider,” Johnson said. But above all, Johnson says she wants art to be accessible to everyone. Johnson said she is trying to stick to projects that benefit “the little guys.” “I’m not trying to go for a project in downtown Raleigh to get the eight-foot-tall building,” Johnson said. “I’m not trying to go to those major cities and get those huge buildings for two reasons: one, I don’t want to go that high; two, my passion really lies with the small guys.” But due to financial constraints and the material reality of art commerce, that requires open communication, she added. “I don’t want to just snowball you with this huge price, and then you just shut me down because it wasn’t what you were thinking,” Johnson said. “At the same time, I am an advocate for the arts, so I’m not going to give you a $10,000 mural when you’re only going to pay $5,000.” There is a healthy balance in explaining the artistic process and working with clients and the surrounding community, Johnson said.“Your municipality invested this, and this is why they invested this, and this is how it’s going to help and improve your community,” she noted. “Same thing when I’m talking to a small business. You asked for me to come at you with this that is outside your budget. How do we make this still your same exact goal, but within your budget lines?” Johnson also provides lessons to aspiring artists. She does so with a mission: how do you master the balance between being a great artist and a competent business owner? “We still do art lessons, but I’m also going to give you business scenarios,” she noted.One of the scenarios she has come up with for her students is a T-shirt competition. “The kids have to think about ‘okay, I can’t just draw whatever I want on a T-shirt. I need to think about what colors Miss Elyse likes. What does Miss Elyse’s logo look like? What would Miss Elyse like?’” Johnson said. “So the design needs to be around that kind of concept.” As Johnson looks toward the future of Van Goat Studios, she is thinking of time, longevity and succession. Johnson is a new mom, which she said has shaped how she sees the future of the studio.“I still want my name and my business out there continuing, so that when my daughter is of age and she can be more independent, then I can be out there doing more and more,” Johnson said. “I would love to get a student to pass this on to, or an intern. I would love for this business to be passed on to the next generation and let them go.”

Sep 27 • 7:52 PM EDT • Business • bizfayetteville.com

Jaguars’ Latest Prediction Would Be Dream Scenario for Trevor Lawrence

Trevor Lawrence and the Jacksonville Jaguars were able to take care of business in Week 3 against the New England Patriots. When the final whistle was blown, they ended up winning by a dominant final score of 35-6. With the win, the Jaguars improved to 2-1 on the young season. They are beginning to look […] The post Jaguars’ Latest Prediction Would Be Dream Scenario for Trevor Lawrence appeared first on Gridiron Heroics.

Sep 27 • 6:02 PM EDT • Sports • sports.yahoo.com

The pros and cons of using a foldable phone

Foldable phones like the Apple Duo and the Samsung Galaxy Z Fold series are useful in some scenarios, but there are also some downsides, including price.

Sep 27 • 2:00 PM EDT • Technology • engadget.com

Kohli has 'unfinished business' at his 'last World Cup' in 2027

"My dream is to play a match-winning, finishing knock in the finals, like chasing a score - that's the ideal scenario," Virat Kohli says about the perfect sign-off | ESPN.com

Sep 27 • 1:30 AM EDT • Business • cricinfo.com

Kohli has 'unfinished business' at his 'last World Cup' in 2027

"My dream is to play a match-winning, finishing knock in the finals, like chasing a score - that's the ideal scenario," Virat Kohli says about the perfect sign-off

Sep 27 • 1:24 AM EDT • Business • cricinfo.com

Scientists Simulated How Matter Can Emerge From Pure Energy On A Quantum Computer

Scenarios only possible in particle accelerators can now be simulated.

Sep 26 • 5:30 AM EDT • Science • iflscience.com

Scientists explain catastrophic Yellowstone eruption scenario

“Imagine the asteroid that killed the dinosaurs. There’s not really much you can do to prepare for that,” Iacovino said.

Sep 25 • 2:36 AM EDT • Science • newsnationnow.com

WNBA playoffs 2026 tracker: Standings, clinch scenarios, schedule, playoff bracket and more

Sep 24 • 10:19 PM EDT • Sports • sports.yahoo.com

Phillies playoff tracker: Wild Card race, clinching scenarios and seeding

Track the Phillies’ path to another Red October, including their magic number, Wild Card standings, remaining schedule and potential playoff matchups

Sep 23 • 6:10 PM EDT • Sports • nbcsportsphiladelphia.com

Question 8 “a doomsday scenario,” say Cambridge and Somerville cannabis business owners

The November ballot measure would end recreational marijuana sales statewide in 2028. That has local operators and investors feeling anxious.

Sep 22 • 10:13 AM EDT • Business • cambridgeday.com

MLB playoffs 2026 tracker: Standings, schedule, clinch scenarios, tiebreakers, playoff bracket and more

Sep 22 • 9:03 AM EDT • Sports • sports.yahoo.com

The Green Bay Packers receive intriguing Micah Parsons return scenario

The Green Bay Packers enter Week 3 at 1-1 as the Atlanta Falcons visit Lambeau Field, while Micah Parsons continues his recovery from last season’s torn left ACL. His return date remains uncertain, and the same can be said for Jayden Reed following his frightening Week 2 injury. Peter Bukowski of Locked On Packers pointed [...]

Sep 22 • 7:05 AM EDT • Sports • sports.yahoo.com

Is 50 the new 60?

Subscribe TL;DR: Younger generations are showing signs of worse health compared to earlier-born cohorts at the same age This backward “drift” is showing up both in mortality risk and chronic disease Worsening trends in obesity and diabetes are the most consistent signals Taking the long view, we’ve made astonishing gains in health and life expectancy in the last century. Global average life expectancy has more than doubled from 32 years in 1900 to 73 years in 2024. (But don’t forget, there were still old people when life expectancy was 32). As people lived longer, they also generally lived healthier along the way. It turns out that avoiding things that can kill you early, like malnutrition and lots of childhood infections, also keeps you healthier later in life. In a classic 2004 paper, Finch and Crimmins proposed that cohorts of children who benefited from fewer early life infections had less lifetime exposure to inflammation and cardiovascular disease later in life, accelerating mortality improvements at older ages. Poor nutrition in the womb has also been linked to a higher risk of later chronic disease. The upshot is that improvements in childhood health can pay dividends many decades later. The combination of better living conditions (nutrition, sanitation) and medical advances (antibiotics, vaccines, blood pressure meds, etc) meant that people’s healthy lifespan generally expanded, even as they lived longer. Aging researchers call this best-case scenario “compression of morbidity”—meaning we delay the onset of disease and disability even faster than the years of life we are adding. During my 20+ year research career, we could generally bank on the idea that younger generations would not only live longer but also keep getting healthier along the way. “60 is the new 50” as they say… Enter “Generational Health Drift” Sadly, this expectation of steady progress may be changing. You’ve probably heard that US life expectancy gains have slowed to a crawl in the past couple of decades. Mortality improvements are also slowing (though less dramatically) in many other high-income countries (you can read more about that in a review paper I wrote here). Mortality is a very blunt health measure, but it is often a good barometer for the broader population health trends happening underneath. And we are now seeing that younger generations may be in worse health at similar ages compared to earlier born cohorts. My collaborator Prof. George Ploubidis at University College London coined this worsening health in more recently born cohorts “generational health drift.” “Generational health drift” is bad news on multiple fronts. Most obviously, we don’t want our health progress to go backward. But the timing is also bad, since our populations are aging. In demographic terms, “population aging” means that the proportion of the population at older ages (i.e >65 years) is increasing. Fun demography fact: Current population aging is not due to the recent declines in the birth rates making the news, but declines in fertility decades ago, after the “baby boom.” As baby boomers reach older ages, the smaller cohorts behind them mean the percentage of older adults will increase. For example, the share of the population age 65 and older in the US increased from 12.4% in 2004 to 18.0% in 2024. This story of population aging was written long ago. Many worry that population aging will put pressure on health care and pension systems. But if people reach older ages in better health than in years past, those fiscal pressures would be less dire than projected. Healthy older people can also continue to contribute to society in many valuable ways, including paid work, caregiving, community service….even high political office 🤷. On the flip side, if younger generations reach retirement age in worse health and with more disabling conditions, this could magnify the societal challenge of population aging. Evidence for worsening generational health A recent paper that I LOVED in the Proceedings of the National Academy of Sciences by Dr. Leah Abrams and colleagues examined which birth cohorts (aka generations) were behind worsening US mortality. Behold the Lexis diagram (cue swooning demographers). Calendar time is on the x-axis, age on the y-axis. Birth cohorts can be followed over time as they age on the diagonal lines moving up and to the right. This figure plots the year-on-year % change in all-cause mortality at a given age. Green shading indicates mortality improvements over time, white is stagnation, and gray shading indicates worsening mortality. Following the diagonal line for those born in 1950, you can see a noticeable shift from green to gray that follows this cohort for most of their lives. This gray shading shows generally worsening mortality for the 1950 to 1959 birth cohorts compared to their predecessors across all ages. Concerningly for my GenX and elder millennial peeps, there was also a deterioration in mortality for birth cohorts born in the 1970s and 1980s, visible as dark gray areas at ages 30 to 45 during the 2010s. While some of these mortality changes reflect specific shocks such as the opioid epidemic, most deaths still occur from major causes of death such as cardiovascular disease and cancer. For cancer, the gray in the top left corner of the figure below reflects the legacies of smoking for older cohorts, followed by a period of green with improvements in cancer mortality as smoking rates declined. But the white/gray shading in the bottom right corner highlights a stagnation and reversal of the cancer trends, with cohorts born around 1970 to 1985 experiencing worsening cancer mortality. This deterioration was most noticeable for colon cancer mortality, possibly linked to obesity or dietary factors. Not just dying more, but less healthy along the way. A recent paper by Dr. Laura Gimeno of University College London (of which I am a co-author), found evidence that more recently born cohorts in Great Britain have stagnating or worsening health. A stylized picture of what“generational health drift” might look like: The review paper found: Rates of childhood overweight and obesity were highest among Gen Z. Rates of diabetes in the 40s almost doubled from 3.1% among the Baby Boomers to 5.9% in Generation X. Gen Z reported higher rates of poor mental health in adolescence compared to earlier-born groups. These UK results are consistent with studies showing worsening health across generations in the US as well. A 2021 US study found that more recently born cohorts had worse biological markers (like blood pressure and blood sugar) than earlier generations at the same age. A separate 2022 study of Americans aged 50 and over found that more recently born generations had a higher number of chronic diseases, with younger age of disease onset. A 2024 Lancet paper found that in the US, women born in 1945 had 33% obesity prevalence at age 50, rising to 48.2% for women born in 1970 turning 50. So what’s going on, and can we turn it around? We don’t have a definitive answer for what’s causing the deteriorating health of younger cohorts, but circumstantial evidence points to worsening trends in obesity and diabetes in both the US and UK. Remember that cohort trends reflect lagged effects of early environments, and younger generations have faced both earlier onset and more severe obesity across their lifetimes. Despite these very concerning trends, the future is not set in stone. We’ve reversed poor generational health trends before: drops in smoking are a major reason cancer and heart disease deaths fell so dramatically in recent decades. GLP-1 drugs may finally turn the tide against rising rates of obesity and diabetes, though it is still early days. But things could also get worse…for example from a return to higher levels of childhood infectious diseases that can have a lasting impact on health. See for example: [ ](https://jenndowd.substack.com/p/dont-you-forget-about-measles-the) [ Don’t You Forget About Me(asles): The Virus That Erases Immune Memory ](https://jenndowd.substack.com/p/dont-you-forget-about-measles-the) Jenn Dowd, PhD · March 24, 2025 [ Read full story ](https://jenndowd.substack.com/p/dont-you-forget-about-measles-the) Even as an optimist, emerging data on the “generational health drift” has my full attention. For most of my research career, we took it for granted that each generation would be healthier than the last. But if present trends continue, **50 could be the new 60….**and Gen Z celebrities will soon look older than Paul Rudd :). Stay well, Jenn Share the Health! If you found this post useful, please share it with a friend. Share

Sep 22 • 6:03 AM EDT • Health • jenndowd.substack.com

White Sox See 307-2 Scenario Go Against Them

The Chicago White Sox looked comfortably on their way to tying the AL Central Division at the top again with the Cleveland Guardians. The Guardians were finishing off a Friday night win over the Athletics, but the White Sox were also in control, leading 8-2 against the Detroit Tigers. That’s when everything went wrong. And […] The post White Sox See 307-2 Scenario Go Against Them appeared first on HEAVY.

Sep 19 • 10:35 AM EDT • Sports • sports.yahoo.com

BVB Women Aim to Extend Their Lead

The scenarioThe BVB Women have had a flawless midweek. Following a 6-0 cup victory over 1. FFC Recklinghausen, the BVB Women won 5-0 against newly promoted MSV Duisburg in the Regionalliga West last S...

Sep 18 • 12:05 PM EDT • Sports • sports.yahoo.com

Engrams Embedding Entendre: Codesign for Efficient DRAM/SSD Offloading

Engram extends standard token embeddings with learned multi-token lookups. Recurring local patterns retrieve vectors directly, reducing the need to reconstruct them through attention and feed-forward layers. With Engram model architecture optimization, it allows for lower HBM capacity to be needed for models at the same quality. This does not mean there won’t be an insane demand for HBM but it just means that model architecture will continue to innovate around constraints. This model architecture design is naturally codesigned for parameter offloading: each token accesses a few embedding rows whose addresses depend on token IDs, not hidden states. The runtime can prefetch those rows from host DRAM while earlier layers compute, keeping the table outside HBM without transferring entire weight matrices. Our Memory model contains our latest estimates of quarter by quarter HBM, DRAM, & NAND supply and demand. Offloading frees HBM for model weights and KV cache, potentially supporting larger batches or more concurrent sessions. When DRAM becomes the next constraint, NVMe offers another tier. Recommendation systems already cache frequently or recently accessed embedding rows in faster memory while backing colder rows with SSDs. After NVIDIA roadmap had to change due to massively despec’ing Rubin Ultra from 1024GB to now ~200GB of HBM per chip, model architecture optimizations like emgram maybe helpful. Our DeepSeek-V4.1-Flash configuration uses roughly 189 GiB of memory for Engram. We replace it with a memory-mapped (mmap) file and measure serving performance with offload to SSD. Later on in our report, we will show our Engram offloading experiments along with the official InferenceX agentic inference serving results on Engram models like DeepSeekv4.1 Flash across all 6 NVIDIA GPU SKUs along with MI355X. Unsurprisingly, the CUDA Moat is still mogging MI355X on the ultra popular DeepSeekV4.1 Flash model. We also show how even on high capacity HBM SKUs, offloading emgrams to DRAM could result in even better performance for most of the pareto than keeping the emgram in HBM. Our benchmark has been widely reproduced, validated and/or supported by almost every major buyer of compute from Google Cloud to Microsoft Azure to Oracle, to Meta and many more. Furthermore, it has the support of the ML community including from vLLM, LMCache, SGLang, PyTorch, Huggingface and the support of major labs like OpenAI, MiniMax, ZAI, Qwen, Moonshot Kimi, etc. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, Jalapeño, Nvidia Rubin NVL72, AMD, and soon, SambaNova and Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UALoE72 too. DeepSeek did not release the original paper’s two trained Engram models. We replicated its setup on fineweb-edu using the released code and training hyperparameters, at an estimated 6E18 FLOPs per run. We observed the same U-shape scaling: Engram improved performance over pure MoE baselines. We also reproduced DeepSeek’s results, where earlier-layer representations with Engram resembled those of later layers. Like the original Engram paper, it is possible to probe Engram’s gate scores to see what n-grams DeepSeek-V4.1-Flash makes the most use of. Our gate scan finds names, code fragments, relational phrasing, and boilerplate. These examples prioritize interesting-ness over gate strength. One unexpected result was Wright : Ace Attorney. These examples suggest learned memory optimizes the training objective, not a judgment of which facts deserve storage. Licenses, bibliography fragments, API scaffolding, and website furniture can provide prediction shortcuts, so the value of additional Engram capacity may depend on what survives data preparation. This does not show that table capacity is “wasted”: the evaluation-corpus scan establishes neither training exposure nor the capacity occupied by each category. For offloading, strong gates do not identify cache-hot rows. Low gates do not automatically save reads either: computing the gate requires the retrieved key and undoes the performance gain of a fused kernel. Skipping reads would require a separate usefulness predictor before retrieval. In the original paper’s inference-time ablation, factual-knowledge benchmarks retained just 29–44% of their original performance, while reading comprehension retained 81–93%. This is due to the training–inference mismatch. The resulting degradation therefore measures this trained model’s dependence on Engram, not the performance difference between models trained with and without it. In our ablations, suppressing Engram worsens token likelihood across all evaluated domains, especially encyclopedia text and several code corpora. Surprisingly, GSM8K accuracy stays within measured run-to-run variation and removing Engram has no effect. Engram is not a detachable dictionary beside an unchanged MoE. Removing it changes downstream features and expert selection. We tested whether rerouting hurts or compensates by holding tokens fixed in a teacher-forced experiment on CRUXEval, a code-reasoning benchmark of small Python functions where the model predicts a function’s output from its code and an input, and scoring the reference answer. Removing Engram raised answer loss from 0.2848 to 0.3093 bits/token. Forcing the ablated model to use the original Engram-on expert choices made it worse still, at 0.3375 bits/token. Rerouting partially compensates for the missing memory. Memory features and expert selection work together, rather than following a clean “memory stores facts; experts reason” division. On the same CRUXeval, removing Engram during either phase reduced accuracy and increased generated tokens; removing it throughout produced the largest changes. Keeping Engram for prefill leads to more correct answers than keeping for decode likely due to semantically richer KV cache transferred to decode workers, allowing it to mitigate some of the performance loss. Engram’s table is large, but each lookup is small. DeepSeek-V4.1-Flash requests 24 rows at each of two Engram layers, about 12.4 KiB per processed token position across the model, or 3.1 KiB per GPU when split across four GPUs. Currently as of Day 7 since Model Release, MI355X is still 2-4x worse performance per dollar compared to B200 even when normalized by Mi355X’s lower TCO. Our full total cost of ownership breakdown comes from our AI Cloud TCO Model along with monthly market surveys of over 100+ gpu clouds & gpu cloud customers. On the Day 0 release of DeepSeekv4.1 Flash, NVIDIA vLLM works out of the box with zero issues across all 6 SKUs: H100, H200, B200, B300, GB200, GB300! This was thanks to the amazing work by the NVIDIA & Interact teams! In comparison, AMD vLLM did not work on day 0 for DeepSeekv4.1 Flash.Source: SemiAnalysis InferenceX AMD’s vLLM documentation points to using vllm/vllm-openai-rocm:deepseekv41-flash-0909, but from hour 0 of the model release to hour 23, AMD has not publicly released the image. AMD claims, “SPEED IS THE MOAT,” yet it has still not released it by the 23rd hour. We wish that, going forward, the AMD team has a better process for hour 0 model releases. Eventually when they did publicly release for “day 0” image support, performance-wise, it is currently up to 14.8x worse perf per dollar than H200 and up to 42x worse perf per dollar than B200/B300. The power of the CUDA MOAT is NVIDIA’s collaboration with its massive 6 million-developer community ecosystem including most of the vLLM & SGLang & Tokenspeed maintainers which means that CUDA is optimized on day 0. Overall, AMD did make significant improvements but the performance per dollar is still currently 2-4x worse than B200. AgentX Engram DRAM Offloading Improving Performance The HBM and DRAM offload use the same GPU kernel to select and dequantize rows. With HBM, it reads GPU memory; with Unified Virtual Addressing (UVA), it reads pinned host memory directly. Both support full decode graphs. Moving the table into HBM accelerates only the sparse lookup, leaving decoder computation and communication unchanged, resulting in little overall benefit while consuming memory otherwise available to KV cache. Another benefit of Engram offloaded to DRAM which means you can reduce the communication overhead by using less HBM GPUs per replica. For example, when enabling Engram offloading on B300, we are able to switch from TP4 to now TP2 which improves the pareto curve by up to 1.6x. When iso-model quality, less HBM is required as the engrams could be offloaded to host DRAM. Thus HBM bandwidth matters way more than HBM capacity. For inference workloads where memory bandwidth matters the most, 4-hi HBM provides the best $/bandwidth and therefore lowest cost per token. If China continues to make more and more revolutionary model architecture innovations, soon it could potentially 0Hi HBM stacks. [ ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) [ Long Live the Short King: Why 4-hi HBM Wins ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Myron Xie, Bryan Shan, and 3 others · Sep 13 [ Read full story ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Moreover, on B300 and week-0 stack, moving the Engram table back to HBM did not improve results and stay within run-to-run variance. This is a result of the work optimizing DRAM offload, such as async, and overlap. SSD Offloading On B200, we created a unoptimized vLLM fork and stored the Engram tables in memory-mapped files on local SSDs. File backing lets the OS reclaim table pages when other applications need RAM. Pages already cached in memory can be served without reading the SSD again. Furthermore, note that we were unable to turn on GDS The unoptimized SSD implementation changes how rows reach the GPU. It copies row IDs to the CPU, deduplicates them, gathers the requested rows into pinned buffers, copies those rows back to the GPU and dequantizes them. This work runs between segments of the GPU execution graph. Native UVA performs row selection and dequantization directly on the GPU, avoiding the CPU round trip. A warm filesystem cache removes physical SSD reads, but leaves the coordination, row gathering and transfers. This is why a file already cached in RAM can still perform worse than a pinned DRAM table. The comparison measures the whole serving path; it does not separate the time spent on each of these operations. B200 DRAM dominates both measured SSD serving curves in total tokens per dollar and P90 interactivity. Near 125 tokens/s/user, DRAM delivers 121 million total tokens per dollar versus 52 million for SSD. For production serving, SSD offloading is likely not worth the tradeoff. On the B200 configurations we measured, SSD offloading loses on both measures: every observed SSD point has a DRAM alternative that delivers higher P90 interactivity and more total tokens per dollar. The only points where Cheaper storage does not automatically produce a cheaper inference service. Moving Engram to SSD leaves the same four expensive GPUs and the rest of the server in place. Reclaiming RAM only creates an economic benefit if it enables a cheaper server configuration or additional useful capacity. The current unoptimized path provides neither benefit, and the filesystem cache still consumes RAM when table pages are resident. Next we will look at the mechanisms and specific implementation of ngrams from DeepSeekv4.1 Flash, LongCat, Qwen3.8 Flash Next.

Sep 18 • 10:35 AM EDT • Technology • newsletter.semianalysis.com

Phillies' nightmare seeding, matchup scenarios for 2026 MLB Playoffs

The Philadelphia Phillies appear headed toward October, but just getting in is no longer the goal. Their final 10 games will determine whether they begin the postseason at Citizens Bank Park or start the path to the World Series on the road. As of Thursday evening, the Phillies sit at 84-68 , one-half game behind the Chicago Cubs for the National […] The post Phillies' nightmare seeding, matchup scenarios for 2026 MLB Playoffs appeared first on ClutchPoints.

Sep 17 • 9:24 PM EDT • Sports • sports.yahoo.com

Matchday 27: How Nashville SC can clinch playoffs

By MLSsoccer staffNashville SC can clinch an Audi 2026 MLS Cup Playoffs spot when they host Chicago Fire FC on Saturday night during Matchday 27 (9:30 pm ET | Apple TV).The following scenarios are in ...

Sep 17 • 3:00 PM EDT • Sports • sports.yahoo.com

Will AI really kill everyone? How, exactly?

Industry insiders are once again warning that a superpowered artificial intelligence could exterminate the human race. But how? And which scenarios are actually plausible?

Sep 17 • 9:00 AM EDT • Business • cnn.com

The Strange New Politics of AI. Plus. . .

It’s Thursday, September 17. This is The Front Page, your daily window into the world of The Free Press—and our take on the world at large. Today: Douglas Murray asks, why do we allow terrorists to die of old age? The American nonprofits backing Hamas. A conversation with Dara Horn and Coleman Hughes. And much more. But first: inside the unlikely coalition warning that AI may kill us all. Last week, an AI researcher named Jacob Coxon made headlines around the world after saying that he had resigned from Anthropic because he believes AI might cause human extinction—and his co-workers do, too. Unlike the rest of us, potentially, the story just won’t die. The Pro-Human Assembly, a conference held Tuesday in Washington, D.C., about the existential dangers of artificial intelligence, couldn’t have come at a better time—or with a more eclectic coalition. The Archbishop of San Francisco was there. So was Steve Bannon, screaming about the Chinese. Bernie Sanders did a quasi-dramatic reading of messages posted to an online forum by rogue AI agents. Ashley Judd paraphrased a graphic Andrea Dworkin quote for reasons that remain a mystery to me still. It was odd. People in the AI industry have talked openly about the possibility of this technology causing human extinction for years, but it hits differently in the wake of the Hugging Face incident. If you don’t know what that is, all the more reason to read my dispatch today. As the doomers see it, the best-case scenario is a future in which humans are basically kept as pets: well cared for, but with zero autonomy. The worst-case scenario, obviously, is the everyone dies thing. What should be done? I heard lots of ideas but no easy answers. There are currently zero federal regulations on AI, which is sort of strange even to think about. After all, we regulate microwaves, and the people running the microwave industry have never once refused to rule out the possibility that their products will end all human life on Earth. What I saw in D.C. left me even more convinced that you would be hard-pressed to find anyone who believes nothing should be done. You know, except for President Trump. — River Page River Page • Tech and Business [ The AI Doomers Have a Plan to Save Us. I Went to Find Out What It Is. ](https://www.thefp.com/p/the-ai-doomers-have-plan-save-bernie-sanders-bannon) Read story How Robert Kraft Made Macklemore a Martyr—and How to Better Fight Antisemitism On Monday, New England Patriots owner Robert Kraft and a group of other NFL owners banned Macklemore from performing at their stadiums after the rapper delivered a “Free Palestine” speech while opening for Ed Sheeran. Kraft cited the rapper’s “broader history of antisemitic rhetoric and imagery.” Once multiple venues refused to host shows with Macklemore on the lineup, the tour’s promoter officially dropped him. Today, Josh Kaplan says that the move was counterproductive, arguing that though well-intentioned, Kraft’s decision turned an irrelevant footnote into a martyr. “You cannot cancel people into liking you,” Josh writes. Read his column on what a better response to Macklemore would have looked like. Read [ Robert Kraft Made Macklemore a Martyr ](https://www.thefp.com/p/robert-kraft-made-macklemore-martyr-antisemitism-palestine) This raises the question: What actually works against antisemitism? On the latest episode of Conversations with Coleman, recorded in front of a live audience in New York, Dara Horn joins Coleman Hughes to talk about her new book The Final Solution to the Jewish Question. She argues that antisemitism is a script that has repeated itself across countries and ideologies, and that most people don’t understand that well enough to fight it. Don’t miss their conversation. Watch [ The Lie at the Center of Antisemitism, with Dara Horn ](https://www.thefp.com/p/the-lie-at-the-center-of-antisemitism-coleman-hughes-dana-horn) Listen now Douglas Murray • U.S. Politics [ Douglas Murray: The 9/11 Failure That Still Haunts America ](https://www.thefp.com/p/douglas-murray-911-failure-justice-terrorist-guantanamo-bay) Twenty-five years after the September 11 attacks, the men who planned them have still not faced trial. Khalid Sheikh Mohammed and most of the accused have been locked up in Guantanamo Bay since 2002. Judges have retired, and plea deals have collapsed. Today, Douglas Murray examines how this happened and argues that a justice system that allows terrorists to die of old age in an interminable pretrial process is one that has failed. Read his latest column on what that failure says about our unpreparedness for the era we are now living in. Read story The Editors • U.S. Politics [ When Nonprofits Support Terrorists ](https://www.thefp.com/p/when-nonprofits-support-terrorists) A newly declassified CIA brief from 1998 found that Osama bin Laden used nonprofit shell organizations—including U.S.-based Islamic groups—to fund his terror plots. Today, a similar story is unfolding as multiple organizations on American soil present themselves as nonprofits, taking advantage of tax-exempt status while seeking to advance the ideological mission of terrorist groups like Hamas. Read our editorial on the latest evidence of this dangerous trend—and why there’s no excuse for making the same mistake the CIA revealed 28 years ago. Read story Simon Sebag Montefiore and Bari Weiss Live in New York For decades, the Middle East has shaped American foreign policy and loomed large in the public consciousness. Few understand its influence on our politics better than Simon Sebag Montefiore, who argues that America’s quagmires in the Middle East stem from a deep misunderstanding of the region—on both the left and the right. Join him October 1 as he sits down with Bari Weiss live in New York City to kick off his U.S. book tour for The Cauldron: The Making of the Modern Middle East. Get Tickets Now MORE FROM THE FREE PRESS [ Sydney Sweeney’s Naked Truth ](https://www.thefp.com/p/sydney-sweeneys-naked-truth-caitlin-flanagan) Caitlin Flanagan Read story [ I Thought Ukraine Was Losing. Then I Was Almost Hit by a Russian Drone. ](https://www.thefp.com/p/elliot-ackerman-ukraine-drone-gas-station-train) Elliot Ackerman Read story [ The Dangerous Ideology Behind the AI Warnings ](https://www.thefp.com/p/dangerous-ideology-effective-altruism-artificial-intelligence) Shyam Sankar Read story [ Amanda Knox: Patrick Clancy Can’t Win ](https://www.thefp.com/p/amanda-knox-patrick-clancy-grief-internet-crime) Amanda Knox Read story THE NEWS The Federal Reserve raised interest rates by a quarter point, its first hike since 2023, signaling that another increase could follow as the central bank tries to bring inflation under control. President Donald Trump fired back by demanding that rates be cut sharply, though he stopped short of criticizing Fed Chair Kevin Warsh by name. The Houthis fired drones and missiles at Saudi Arabia on Wednesday, including a major oil port on the Red Sea, and Saudi jets struck back with air strikes across Yemen in an escalating front of the Middle East war. (For more on the Houthis, read Zineb Riboua’s column from earlier this week.) A sweeping Russia and Iran sanctions bill passed the House in a 262–159 vote and is now heading to Trump for his signature. Named after the late senator Lindsey Graham, the legislation would hit countries that purchase large volumes of Russian oil and gas with tariffs of up to 100 percent, and is aimed at cutting off revenue that funds Russia’s war in Ukraine. European Commission president Ursula von der Leyen proposed making Canada the European Union’s first-ever “associate member,” drawing a standing ovation from European lawmakers. The proposal, framed as a response to a world grown more hostile, faces an uncertain path as EU member states would have to approve it, and one diplomat said that “nobody really ​knows what it means.” The House voted unanimously to send billionaire Leon Black a criminal contempt referral after he defied a congressional subpoena to testify and hand over documents related to his connections to Jeffrey Epstein. Black chose to fight the subpoena in court rather than comply. Charlie Kirk’s family filed a wrongful death notice Wednesday against Utah Valley University, alleging that a series of security failures left him exposed to a rooftop sniper. The notice is a required legal step before the family can sue. Merriam-Webster added 1,400 words and definitions to its dictionary, including looksmaxxing, vibe coding, and cuffing season. The publisher said the new entries offer “a window into the world today.” The Free Press earns a commission from any purchases made through all book links in this article.

Sep 17 • 6:03 AM EDT • Politics • thefp.com

Brewers' nightmare seeding, matchup scenarios for 2026 MLB Playoffs

The Milwaukee Brewers have already completed their first objective by clinching a fourth consecutive National League Central title. Their remaining games are not ceremonial. Milwaukee still needs to secure the postseason route most likely to keep its historic season alive. The Brewers head into Thursday at 95-57, three games ahead of the Los […] The post Brewers' nightmare seeding, matchup scenarios for 2026 MLB Playoffs appeared first on ClutchPoints.

Sep 17 • 3:06 AM EDT • Sports • sports.yahoo.com

Stock market outlook: Best-case scenario is 'breaking down', BMO warns

The stock market's best-case economic scenario of steady growth and moderating inflation looks like it's "breaking down," BMO says.

Sep 16 • 1:29 PM EDT • Business • businessinsider.com

Malaysia talks to rival airlines as it monitors AirAsia's financial health, sources say

Malaysia's government has asked Malaysia Airlines and Batik Air ​whether they could absorb AirAsia's domestic market share, said two people with knowledge of the matter, as part of what they described as scenario planning while authorities ‌monitor the financial health of Southeast Asia's largest low-cost airline.

Sep 15 • 9:55 PM EDT • Health • reuters.com

MedStar Health doctors train for rare emergency scenarios

When Dr. Paul Herman reports to work as an emergency medicine doctor with MedStar Health, he knows he has to be ready for whatever comes his way.

Sep 14 • 2:42 PM EDT • Health • wbaltv.com

What to know about recent dire AI predictions and calls for safeguards

New warnings from within the artificial intelligence industry have revived a long-running debate over whether advanced AI could escape human control and ultimately threaten humanity’s survival, and whether the companies developing the technology are doing enough to prevent such a scenario.

Sep 14 • 8:09 AM EDT • Science • pbs.org

Political debate over AI intensifies amid warnings about ‘catastrophic risk’

(CNN) — The debate around artificial intelligence is ramping up in Washington, with Democratic lawmakers sounding alarms on the dangers they say the technology poses and Republican leaders suggesting those concerns are inflated and secondary to winning the AI race with China.Some Democratic lawmakers last week pressured House Speaker Mike Johnson to reconvene the chamber immediately to work on AI regulation, citing what they describe as the “catastrophic risk posed by advanced artificial intelligence.” But the Louisiana Republican on Sunday resisted those calls, instead saying industry leaders should meet with lawmakers to find “balance” in any potential guardrails.“If Congress just races in and does some sort of emergency session to try to regulate AI, we will lose the race to China, and that is a threat to every single American,” Johnson said on CNN’s “State of the Union.”Meanwhile, former President Barack Obama told Democrats to make artificial intelligence regulation a central part of their agenda during a private fundraiser Thursday, warning that the technology could be dangerous “if we don’t get on top of it.”In a fireside chat with House Democratic Leader Hakeem Jeffries, Obama said whoever runs in the 2028 presidential election should have a “very clear plan” on AI, adding that he saw the need for a “blueprint” on AI guardrails even at the end of his presidency a decade ago.“Certainly, if I were running for president next year, this would be one of my central agendas, and I would have a very clear plan, and I would talk about this, and I would say, ‘Here’s our plan for safety, here’s our plan for making sure our kids are not corrupted by this,’” he said, per excerpts of the remarks provided to CNN by his office. Obama’s remarks were first reported by the New York Times.Concerns over the rapid acceleration of AI reached a fever pitch after Anthropic CEO Dario Amodei wrote in a 3,800-word essay Saturday that the race to develop artificial intelligence is in dire need of a slowdown. The call to action came after an OpenAI test model breached the Hugging Face online platform, deepening concerns about cybersecurity.In an exclusive interview with CNN’s Anderson Cooper on Saturday, Amodei called on industry leaders to work together to avoid “the wrong paths” and the possibility of AI harming humanity.One Anthropic researcher, Jacob Coxon, resigned from the firm over worries that the industry wasn’t doing enough to prevent AI from destroying humanity by the end of the decade.Obama said Democrats need a plan to get their agenda on AI underway should they win the House majority in this year’s midterms.Speaking to Jeffries, who is presumed to be speaker of the House should Democrats prevail in November, Obama said, “Once you are speaker, I would strongly urge that the Democrats put together a framework for a very public conversation, and you can break it out into three or four or five issues.”Obama stressed that the framework should be centered on the reality that the technology can’t be stuffed “back into a box.”“This is something that is moving very fast in private hands, and if we don’t get on top of it, I think can be dangerous. If we do get on top of it, I do think it’s beneficial,” Obama said, laying out examples of AI’s potential use in drug development and finding pathways to a clean energy future.“We don’t want to shut off those opportunities, but we have to understand that this is a tool,” he said.Jeffries agreed with the former president in a statement provided to CNN on Sunday.“President Obama is correct that decisive action must be taken on Artificial Intelligence,” he said, adding, “In the majority, we will move urgently on this issue with a legislative response that recognizes the importance of American companies continuing to lead in the Artificial Intelligence area, while putting in place meaningful guardrails that protect the American people from bad actors and the very real damage that can be done to humanity.”Jeffries also accused Republicans of having “abdicated their responsibility to govern” and said Democrats “will not repeat their error.”A source familiar with Obama’s thinking said the former president sees Amodei’s letter and similar reaction from other tech moguls as an encouraging development.But President Donald Trump waved off their concerns, saying he is not worried about any existential threat posed by AI, focusing instead on the US winning in its development of the technology over China.“We’re leading China in AI. We’re the most sophisticated country in the world, and frankly, I want to keep it that way,” Trump said to reporters at the Amgen Irish Open on Sunday.About the concerns expressed by Democrats and others over the technology, the president said, “I think you have a lot of negative forces that are bringing it up that shouldn’t be bringing it up, and they’re bringing up things that won’t happen.”One of Trump’s top economic advisers, Kevin Hassett, also rejected the calls for slowing the technology down, saying on Sunday the bigger concern is a scenario in which a “malevolent actor has access to an AI that’s better than the one we have that can protect us.”Hassett, the National Economic Council director, said on “State of the Union” the White House may hold meetings this week about addressing Amodei’s concerns, but he did not specify whether Trump had floated greater safeguards.“I have concerns that if we don’t win AI, we’re going to be put in a very bad position,” Hassett said. “We are leading China right now.”CNN’s Alison Main and Molly English contributed to this report.The-CNN-Wire™ & © 2026 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.​THE-CNN-WIRE (TM) & © 2026 CABLE NEWS NETWORK, INC., A TIME WARNER COMPANY. ALL RIGHTS RESERVED.

Sep 13 • 1:22 PM EDT • Politics • applevalleynewsnow.com

Most People Don’t Think About Culverts. Their Failure Can Be Deadly.

Scientists simulated what happens when the pipes and tunnels that divert rainwater fail. In one scenario, 30 percent of local residents couldn’t reach an E.R.

Sep 13 • 5:03 AM EDT • Science • nytimes.com

MLB playoffs 2026 tracker: Standings, schedule, clinch scenarios, tiebreakers, playoff bracket and more

Sep 10 • 4:11 PM EDT • Sports • sports.yahoo.com

Oregon Already Getting Disrespected by ESPN After Week 1 Win

Oregon had a very strange opening game on Saturday against Boise State. I think some are forgetting that Boise State is one of the better teams in the country, and while Oregon could have and should have played better, there's a very good scenario in which Boise State is a playoff team. We have to remember that at the end of the day, especially with Oregon still winning this game, the defense stepped up when needed.

Sep 9 • 8:01 PM EDT • Sports • sports.yahoo.com

No public season target for Jaissle

Newcastle have forecast a range of financial scenarios, depending on where the club finish this season, but sporting director Ross Wilson maintained the German has not been set a specific target for the campaign. Chief executive David Hopkinson, though, reiterated that Newcastle's ultimate ambition is to "consistently and credibly compete" for the top honours in the long run.

Sep 8 • 6:59 AM EDT • Sports • sports.yahoo.com

Dortmund's U23 team remains undefeated

The scenarioWith three wins and two draws from their first five games, the U23 team traveled to the Grenzlandstadion in excellent form for their away match. Following their derby victory over Schalke ...

Sep 5 • 12:40 PM EDT • Sports • sports.yahoo.com

NATO drills highlight Iceland's role in Arctic defense

Iceland is at the heart of NATO monitoring activities in the North Atlantic and Arctic amid rising Russian and Chinese presence. DW reports from a NATO exercise practicing submarine attack scenarios.

Sep 4 • 2:17 AM EDT • Politics • dw.com

Best and worse case projections for Browns' KC Concepcion

What's the best case scenario for KC Concepcion in 2026?

Sep 3 • 9:25 PM EDT • Sports • sports.yahoo.com

Rutgers football suffers embarrassing loss to UMass

If you drew up the worst-case scenario for how Rutgers football’s 2026 season would begin, it would look a lot like this.

Sep 3 • 9:19 PM EDT • Sports • sports.yahoo.com

AI boom through 2050 hinges on power supply, politics, PwC says

PwC expects global data center capex will hit $31.6 trillion by 2050 in a base case scenario, with spe | AI may unleash a $31.6 trillion data center buildout by 2050, but PwC says the real race isn’t just for capital — it’s for power, chips and political advantages.

Sep 2 • 4:04 PM EDT • Politics • fierce-network.com

AI boom through 2050 hinges on power supply, politics, PwC says

PwC expects global data center capex will hit $31.6 trillion by 2050 in a base case scenario, with spe | AI may unleash a $31.6 trillion data center buildout by 2050, but PwC says the real race isn’t just for capital — it’s for power, chips and political advantages.

Sep 2 • 4:04 PM EDT • Politics • fiercewireless.com

When a Nightmare Scenario Becomes the Most Likely Scenario

With 64 days before Election Day (although the first mail-in ballots will go out in a matter of days), Republicans should brace themselves: The three most plausible outcomes are that it will be bad, really bad, or truly horrible. Conversely, a Democrat should at least briefly consider that the good fortune they may have in November will come compliments of the president, not as a result of much that they have done.

Sep 1 • 11:07 AM EDT • Politics • cookpolitical.com

Last-minute doomsday scenarios for the 2026 election

Imaginations run wild at what President Donald Trump and his allies might yet do to interfere in the coming midterm election. He’s already done quite a bit.

Aug 30 • 6:30 AM EDT • Politics • cnn.com

Integrated pollution and carbon mitigation delivers major health and economic cobenefits in China

Synergistic mitigation of air pollutants and greenhouse gases is crucial for achieving clean air and carbon neutrality, but quantitative evidence of sectoral and regional health co-benefits in China remains limited. Authors develop an integrated Energy-Economy-Air Quality-Health framework coupling CEEPA, GAINS, and a province-level health module to simulate fourteen policy scenarios from 2020 to 2050. Coordinated strategies reduce CO2 and pollutants (SO2, NOX, PM2.5) by 75% relative to 2020, avoiding more than 500,000 premature deaths by 2050 and yielding monetized gains of 1.07 trillion CNY. Health benefits concentrate in industrially dense and populous provinces, with near-term PM2.5 reductions driven by pollution control and long-term improvements reliant on decarbonization. The integrated approach achieves a benefit-to-cost ratio of 1.42, lowering abatement costs by 11% relative to pollution-only measures. These findings highlight the value of coordinated, sector- and region-specific strategies for simultaneous climate mitigation, air quality improvement, and public health protection.

Aug 29 • 8:00 AM EDT • Health • ccacoalition.org

ASUS Announces Availability of the Chromebook CM32 Detachable for Business and Education

Fremont, CA, Aug. 28, 2026 (GLOBE NEWSWIRE) -- ASUS, a global technology leader that provides the world's most innovative and intuitive devices,...

Aug 28 • 11:00 AM EDT • Business • markets.businessinsider.com

Radiologists urge CMS to quash proposal that would slash pay for 2nd services delivered in same visit

Outlined in the 2027 proposed physician fee schedule, Medicare wants to pay 50% of full price in certain scenarios where patients visit an office and receive a second service on the same day.

Aug 28 • 2:24 AM EDT • Business • radiologybusiness.com

Browns Rookie KC Concepcion Draws ‘Worst Case Scenario’ Outlook

The Cleveland Browns have been a magnet of attention in the offseason, largely because of the quarterback battle involving Shedeur Sanders and Deshaun Watson. However, a rookie is also turning heads in Cleveland Nation, and that player is none other than first-year wide receiver KC Concepcion. It remains to be seen whether Concepcion will develop […] The post Browns Rookie KC Concepcion Draws ‘Worst Case Scenario’ Outlook appeared first on Gridiron Heroics.

Aug 27 • 6:33 AM EDT • Sports • sports.yahoo.com

Seoul National University of Science and Technology researchers explore how probabilistic analysis can help improve nuclear safety

Traditional approaches for designing primary coolant pipes in nuclear power plants consider highly unlikely, extreme scenarios. Estimating pipe rupture frequency is a more practical approach. In a new study, researchers investigated the pipe rupture frequency of coolant pipes using a probabilistic framework that accounts for material properties, degradation pathway, and even inspection performance, offering a risk-informed approach to design and evaluation.

Aug 26 • 8:00 PM EDT • Science • eurekalert.org

How to decipher smells like a fruit fly

In the animal kingdom, energy conservation is essential for survival. That’s why our brains have evolved to be extremely energy and resource efficient at storing and processing information. Since the 1980s, computational scientists have tried to mimic brain structure and function, but have not yet succeeded in creating functional, low-memory solutions that work in real-world scenarios. Published in Neuromorphic Computing & Engineering, a new fly brain-inspired algorithm developed by researchers at the Okinawa Institute of Science and Technology (OIST) demonstrates promise for achieving practical applications under realistic constraints.

Aug 23 • 8:00 PM EDT • Science • eurekalert.org

Eastlake science students make district history

Three Eastlake High School students made Sweetwater Union High School District history this year when they became the first students from the district to qualify for the International Science and Engineering Fair, an international competition that brings together some of the top high school researchers from around the world. Ronald Wyatt, Giles Del Priore and Ihan Sung advanced to the competition after successful runs at regional and state science fairs. Sung went a step further, placing fourth in the chemistry category at ISEF. The students were recognized on Aug. 10 during a Sweetwater Union High School District board meeting at the district office in Chula Vista.For Wyatt and Del Priore, recent Eastlake graduates, the journey began with a shared concern about dementia and the challenges faced by families caring for loved ones with memory impairment. Their engineering project, “Design and Evaluation of a Behaviorally Grounded Caregiver-Governed AI Companion for Individuals with Memory Impairment,” earned the Sweepstakes Award at the Sweetwater District STEM Fair and first place in its division at the Greater San Diego Science and Engineering Fair. The project explored whether Artificial Intelligence could provide companionship and support while helping reduce stress for people with dementia and their caregivers. “Our inspiration came from personal experience. Both of us have seen family members and loved ones affected by dementia, and we’ve witnessed how overwhelming the caregiving process can be,” Wyatt said. Del Priore said the students also wanted to address the high cost of third-party health care services while creating something that could potentially help their own families as well as people elsewhere. The students developed an AI system designed with safeguards intended to prevent misinformation reinforcement, emotional escalation and unsafe responses. In 240 controlled trials involving memory, identity, agitation and neutral scenarios, they said the system consistently prevented harmful incorrect reinforcement while using context-aware silence, de-escalation and caregiver verification. The project required the students to combine Artificial Intelligence, psychology, neuroscience and human-computer interaction. For Del Priore, one of the biggest technical challenges was getting the AI companion to communicate verbally with a patient. Hardware limitations required the students to collaborate with multiple Python libraries for speech-to-text and text-to-speech functions while keeping the cost of the companion low. “For us, the biggest challenge was translating complex behavioral and cognitive care principles into a functioning AI system,” Wyatt said.Qualifying for ISEF was a milestone that student expected. The international competition proved to be another milestone. “Competing at ISEF was an incredible experience and unlike anything we’ve ever done before,” Del Priore said. “Being surrounded by some of the most talented young researchers from around the world was both inspiring and motivating.” He said the experience stood out because of the emphasis on collaboration, innovation and scientific discovery. “The most memorable part was seeing how people from completely different backgrounds and disciplines approached solving real-world problems with creativity and passion,” he said. The students also credited teachers and mentors who supported their work. Del Priore said his sophomore-year AP Physics teacher, Dr. Price, was particularly influential. “Through all of my personal and academic struggles, Dr. Price always believed in me,” Del Priore said. “All of his faith in me really molded me into the person I am today and helped create my love for science even through tough times.” Wyatt is continuing his education at UC Santa Cruz, where he plans to study biomolecular engineering and bioinformatics, with an interest in research involving Artificial Intelligence, biology and health care. Del Priore plans to double major in chemistry and accounting. Sung, a rising Eastlake senior, qualified for ISEF after winning first place in the Engineering: Energy, Materials & Transport category at the Greater San Diego Science and Engineering Fair and first place in chemistry at the California Science and Engineering Fair. His project, “Renewable Ammonia Electrochemical Synthesis by Glow Discharge with an Iron-Based Catalyst,” involved a device he designed and engineered to produce renewable ammonia, with potential applications in fertilizer production and energy storage. Sung became interested in the project after considering the relationship between food insecurity and fertilizer costs. His system uses plasma to break apart nitrogen molecules so they can interact with hydrogen and form ammonia. At ISEF, Sung competed against more than 1,700 students from 65 countries and earned fourth place in chemistry. “I am proud to become one of te first students in the district to qualify for ISEF because this milestone can inspire others in the district to attain similar goals,” Sung said.

Aug 23 • 1:00 PM EDT • Science • thestarnews.com

The Scientists Who Want to Steer Hurricanes

Over the weekend, Hawaii was lashed by Hurricane Lala, which has washed away homes, left more than 125,000 people without power, shut down two of the state’s busiest airports, threatened dangerous flash flooding and, at time of writing, has killed one person. What if we could’ve steered the storm away from Hawaii, into the vast expanse of the empty Pacific Ocean that lies all around the islands—where no one could get hurt? This scenario might sound like the stuff of science fiction. But earlier this year, a peer-reviewed study published by the Public Library of Science found that it might be possible, and sooner than we think. The study was titled: “Weather Jiu-Jitsu: Prospects for atmospheric nudging to defuse the impact of catastrophic weather extremes.” According to the paper, the controversial practice of cloud seeding could enable human beings to make hurricanes change direction. The potential results could be astounding: The authors suggested that Hurricane Sandy, which in New York City alone killed 44 people and caused $19 billion of damage in 2012, could’ve been diverted by 200 miles, missing the metropolis entirely. Cloud seeding, which first succeeded in the U.S. in 1946, is a practice whereby small particles—for example, dry ice, silver iodide, or salt—are dropped into clouds, causing moisture to condense into precipitation. In the 1960s, the U.S. government launched Project Stormfury, an experiment that saw Navy pilots flying into the heart of a hurricane, dodging winds over a hundred miles per hour, to cloud-seed inside it, in the hope of reducing the storm’s power. “The seeding,” the theory went, “would stimulate the formation of a new eyewall that would surround the existing eyewall. The new eyewall would contract, strangling the old eyewall and reducing the intensity of the hurricane.”

Aug 16 • 4:43 PM EDT • Science • thefp.com

Ethicists: Clinicians aren’t wrong to expect more from certain patients’ families—but they wouldn’t be right to request it, either

Many nurses have spent untold hours at the bedsides of frail and fading inpatients who, despite having blood relatives in the vicinity, rarely receive visitors. In these scenarios, it’s only human for a healthcare worker to feel some measure of resentment toward the absentee family.

Aug 15 • 7:33 PM EDT • Health • healthexec.com

The Science of Fiction: Three AI Scenarios

As artificial intelligence becomes more embedded in the systems we use every day, it is up to government leaders, technology experts and the general public to decide what comes next.

Aug 14 • 1:53 PM EDT • Science • govtech.com

AI needs science’s search history

“Actually, that’s where the gold is,” said Alasdair Russell, my graduate school friend who leads a pre-clinical genome editing group at Cambridge. He was talking about the winding road of science that is omitted from published papers. “When you’re discussing how to do the experiment, and why this way is better than another way, and what does the data really mean? I know what it shows, but what does it mean?” At RAAIS 2026, he described how his group has begun logging the twisting path of discovery as it happens, recording the verbal and written exchanges that normally disappear. Ideas become nodes in a living graph: they branch when a meeting produces two plausible experiments, merge when separate lines of evidence converge, and go dark when someone quietly stops pursuing them. In his implementation, one agent scores novelty, while another tries to learn “how scientists think and how they navigate through a complex world of data,” so that high-potential nodes can trigger deeper investigation. As frontier AI labs deploy agents toward scientific discovery, giving AI authentic scientific taste remains a trillion-dollar dilemma. The bottleneck is that the record we have kept for centuries of science might be insufficient to get us there. The experiments that never make the paper Peter Medawar, 1960 Nobel laureate and “father of transplantation,” asked in 1963 whether the scientific paper was a fraud, and answered yes: the form of the paper misrepresents the thinking that produced it. Sixty years on, the diagnosis is unchanged. A paper presents a clean progression from hypothesis to result to conclusion. Lost along the way are the unconventional theories, the abandoned or unaffordable methods, and the underwhelming and inconclusive data. It reads like a browser history with every dead end deleted: the ten open tabs, the four rephrased queries, the wrong turn down a subforum. All scrubbed, leaving one clean path from question to answer as the canonical path. What has changed since then is that the discarded material is now worth something. No high-impact journal wants these artifacts, but raw trial and error is the most likely source of the training data required to develop scientific intuition, or what researchers call taste. Earlier attempts to capture the discards were motivated by scientific integrity. The Journal of Negative Results in Biomedicine launched in 2002 to publish rigorous studies that disputed established models or exposed ineffective treatments. Its archive preserved negative conclusions after they had become papers, rather than the live alternatives and arguments that produced them. BioMed Central closed it in 2017, saying the mission had been served now that other journals publish null results. A less generous reading is that in fifteen years it published around 200 papers because almost nobody wants to read a negative result, let alone write one up when it will not count toward academic tenure. AI models are different. Even an uninteresting negative result can be useful, provided it is labeled. Earlier this year, Anthropic put a version of this to the test. The company pulled 129 decision points from real Claude Code sessions between January and March 2026, showed models the work up to a human detour, and asked what should happen next. Claude Mythos Preview beat the human choice 64% of the time, while Opus 4.5 managed 51%. The comparison was tilted toward the models because Anthropic deliberately chose moments where the human decision had room for improvement. On 127 further scenarios where the human action was already strong, the models improved on it only about 20% of the time. The study was possible because Anthropic’s researchers work inside a tool that logs by default. The reasoning, detours and outcome are produced in the same working environment. Biology has no equivalent. Its reasoning happens in hallways, at benches, in Slack threads and on whiteboards, while the outcome arrives weeks later somewhere else. The record has to emerge from the work itself. Ask scientists to reconstruct it afterwards and we’ll create another polished account. Subscribe A log is not a label Before any of this becomes training data, a negative result has to say what failed. The first paper published in the Journal of Negative Results in Biomedicine examined 234 negative studies across five leading medical journals. Only 30% discussed statistical power, and half clearly defined a primary outcome. Tell a model an experiment failed, without telling it whether the assay was underpowered, a reagent had degraded, or the hypothesis was simply wrong, and it will learn noise with confidence. Decision histories have a second missing label too. When a lab considers five experiments and runs one, only the chosen branch returns an outcome. The other four are experimental counterfactuals. Researchers call this the selective labels problem: the data reveal results only for the actions someone chose to take. Such a record can teach a model to imitate a lab’s taste, but it cannot establish that the taste was good. It also smuggles local constraints into general lessons. A lab that never ran cryo-EM because it did not own a microscope teaches a model that cryo-EM is rarely the right call. Alasdair’s nodes preserve the candidate set, which is the necessary first step. To be useful, each decision record needs six fields: The evidence available at that moment, and nothing that arrived later. The candidates considered, including the ones dismissed in a sentence. For each candidate: the expected result, the confidence attached to it, and the cost in time and money. The route chosen, and the reason. What happened next. How the evidence changed the scientist’s view. These must be timestamped before the outcome, because hindsight turns uncertainty into inevitability. Disagreement also has to survive. Averaging three scientists into one clean rationale reproduces exactly the information loss we are trying to fix. But there is an obvious failure mode here. Once decisions are logged and scored, people log for the record post-facto. Anyone who has watched an electronic lab notebook fill up with retrospective tidying knows how quickly a research tool becomes a compliance exercise. A record that costs a scientist ten minutes of honest reflection per decision is worth far more than one that costs an hour of performance. A publication initiative called Registered Reports offers a useful starting point. Here, researchers submit their rationale, methods and analysis plan for peer review before the data exist, and the journal commits in principle to publish if they follow the approved plan. Nature has now expanded the format across every field it covers. This approach to paper writing timestamps intent before the outcome, but it freezes one plan. A useful search history must also preserve how the plan changed, which alternatives were rejected, when, and on what evidence. Subscribe Run the runner-up Autonomous labs show what happens when decisions and outcomes are connected in a loop. Liverpool’s mobile robotic chemist ran 688 experiments over eight days in a ten-variable formulation space. A batched Bayesian search used each result to choose the next experiments and found photocatalyst mixtures six times more active than the starting formulations. Every completed experiment changed what the system did next. The robot optimized within a goal and search space that humans had already chosen. It did not decide which scientific question mattered. So what this work demonstrates is narrower, but still useful: a search history pays off when the options return standardized outcomes quickly. Open-ended biology is harder because branches can take weeks and the discarded alternatives may never be run. Some exploration therefore has to be bought. Where two branches are plausible and the stakes justify the cost, a lab should sometimes run the runner-up. Otherwise the record captures what today’s scientists usually chose and stays silent on what they systematically overlooked. A funder could ring-fence a small fraction of a grant for the branch not taken, provided that the decision record and the outcome are both deposited. That costs money, but so does having every lab rediscover the same abandoned path. Test whether taste transfers When it comes time to evaluate if our new AI system exhibits taste, the comparison should run across laboratories and fields. At selected decision points in a live research campaign, we should freeze the six fields: the evidence, the candidates, expected results, confidence, costs and the choice made. Experts then rank the options before the outcomes are known, and those outcomes are checked independently later. We could give models one of two diets - papers alone, or papers plus decision histories - and ask them to rank the next experiment on unfamiliar projects. Then, we score information gained per dollar and week, calibration, and how quickly weak branches are abandoned. If histories improve choices only inside the lab that produced them, they amount to useful organizational memory. If they improve choices on unfamiliar problems elsewhere, Alasdair’s group will have captured something science has never managed to write down: a transferable record of taste. Until that happens, a scientific search history is a promising record, not yet a training set.

Aug 13 • 11:16 AM EDT • Science • press.airstreet.com

The 'cofounder prenup': Startup founders share what to agree on early

Three startup teams share what cofounders should agree on early, from equity split and domain ownership, to conflict resolution and exit scenarios.

Aug 13 • 5:17 AM EDT • Business • businessinsider.com

AbCellera women’s health data top ‘most aggressive upside scenario,’ putting Astellas and Bayer on notice

AbCellera has reported phase 2 results “beyond even the most aggressive upside scenario” that its CEO dared to consider, boosting the biotech’s chances of challenging Astellas and Bayer for a women’s health market. The phase 2 clinical trial compared ABCL635, an antibody targeting NK3R, to placebo in patients with hot flashes caused by menopause. Investigators enrolled 92 postmenopausal women experiencing a mean of about 10 moderate or severe hot flashes per day. By Week 4, the number of moderate or severe hot flashes had fallen by a mean of 8.8 on ABCL635 and by 3.5 on placebo. That statistically significant, placebo-adjusted reduction of 5.3 hit the trial’s primary endpoint. The level of efficacy also cleared the bar set by existing drugs. While cross-trial comparisons can be misleading, AbCellera CEO Carl Hansen, Ph.D., had seen enough to start hyping the program. “We now view ABCL635 as a potential best-in-class non-hormonal therapy with strong differentiation against approved NK3R competitors across all important dimensions, including efficacy, safety, dosing and convenience,” Hansen said on a Monday morning conference call with investors to discuss the data. “We believe ABCL635 is now a highly de-risked program.” Last week, Hansen used AbCellera’s earnings call to set expectations for readout, with the CEO defining success as a clean safety profile and efficacy comparable to the two approved small molecules. The data vaulted over that bar. Astellas linked (PDF) one of the small molecules, Veozah, to placebo-adjusted reductions in hot flash frequency of 2.1 and 2.6 at Week 4 of its two phase 3 trials. Bayer reported (PDF) placebo-adjusted reductions of 3.04 and 3.29 at Week 4 of pivotal studies for its small molecule, Lynkuet. At 5.3, the placebo-adjusted reduction in AbCellera’s trial comfortably cleared the standard set by the incumbents. Veozah and Lynkuet came to market based on evidence of their ability to reduce the frequency and severity of hot flashes. AbCellera’s phase 2 study covered both endpoints, with the Canadian biotech reporting a mean reduction in severity of 1.4 points at Week 4 on ABCL635, compared to 0.3 points for placebo. Again, the placebo-adjusted result compares favorably to data on Veozah and Lynkuet. Analysts shared Hansen’s enthusiasm for the data. The phase 2 results “firmly validate ABCL635 as a potentially best-in-class treatment,” BMO Capital Markets analysts said in a note to investors Monday. ABCL635’s apparent efficacy edge “is likely attributable to the higher dosing/target engagement the asset is able to reach vs. the oral agents due to its wider therapeutic index,” the analysts added. The analysts, who model $2.3 billion in unadjusted peak sales for ABCL635, flagged the safety profile as another positive of the phase 2 readout. While Veozah carries a boxed warning for liver damage, nobody on ABCL635 in the phase 2 trial had elevated liver enzymes or bilirubin values. If replicated in phase 3, the lack of a liver signal could allow approval without the monitoring requirements imposed on Veozah. Investors appeared equally enthused, sending AbCellera's stock up 32% to $9.21 in premarket trading Monday from a Friday closing price of $6.93. Next, AbCellera will collect the Week 12 data and talk to its advisors about further development. The results open up “a wide variety of possibilities of how we might take this forward into phase 3 studies to truly maximize the value of the asset and make sure that ABCL635 is able to demonstrate its differentiation potential,” Sarah Noonberg, M.D., Ph.D., AbCellera’s chief medical officer, told investors.

Aug 10 • 8:24 AM EDT • Health • fiercebiotech.com

Are the allegations against Miller a catch-22 for majority-focused Republicans?

Claims of domestic violence have some in the GOP worried about a ‘Platner on steroids’ scenario

Aug 7 • 3:00 PM EDT • Politics • theweek.com

DFO study updates science behind lobster management measures in parts of N.S., southern N.B.

Scientists at the Department of Fisheries and Oceans are reviewing potential scenarios if lobster stocks change in the waters off Nova Scotia and southern New Brunswick, including the effects of reducing season lengths and trap limits, altering size limits, and other measures.

Aug 4 • 5:00 AM EDT • Science • cbc.ca

2 'red lines' in Iran war to watch to know when to de-risk portfolio

While there are several potential red line scenarios, two of them stand out as "edging closer to reality," MRB Partners says.

Jul 29 • 5:25 AM EDT • Business • businessinsider.com

Bills’ ‘Nightmare’ Scenario Revealed That Could Derail Josh Allen’s Season

The Buffalo Bills made a big decision this offseason when they parted ways with head coach Sean McDermott and promoted Joe Brady to the new role.Buffalo struggled to reach the Super Bowl over the last six seasons, so it needed to take action to give the Bills and their fans a boost, which meant parting […] The post Bills’ ‘Nightmare’ Scenario Revealed That Could Derail Josh Allen’s Season appeared first on HEAVY.

Jul 20 • 11:11 PM EDT • Sports • sports.yahoo.com

G.O.P. Boxed In on Iran War as Trump Sidelines Congress

Republicans now face a worst-case political scenario of being asked to fund an unpopular war over which they have exercised little oversight.

Jul 20 • 2:58 PM EDT • Politics • nytimes.com

Vieu Launches The World's First "Business Graph", Built For Agents And Humans

SEATTLE, July 14, 2026--Vieu's Business Graph maps global business relationships, powering enterprise scenarios like sales, marketing, talent, fundraising, and partnerships.

Jul 14 • 2:09 PM EDT • Business • finance.yahoo.com

Lindsey Graham’s Death Creates Rare Political Scenario That’s Gripping DC

The thin majority that Republicans have in Congress is complicating things.

Jul 13 • 5:05 PM EDT • Politics • bloomberg.com

Scientists Sound Alarm as Disturbing Volcanic Scenario Unfolds Beneath Antarctica - Futura-Sciences

When Climate and Volcanoes Collide It’s well known that major volcanic events can influence the climate. But—as it turns out—the reverse is also true. The ongoing destabilization of the Antarctic ice sheet, driven by global warming, could actually lead to an increase in subglacial eruptions on this icy continent. You...

Jul 11 • 7:00 AM EDT • Science • futura-sciences.com

This Is A Drill: Scenario Planning That Drives Business Agility

CFOs can use scenario planning, AI-enabled data and "break-glass-in-case" playbooks to sharpen strategy, manage risk and build agility for uncertain futures.

Jul 10 • 10:32 AM EDT • Business • forbes.com

Warriors Top Backup Plan For LeBron James Falling Apart

The Golden State Warriors are running out of options with difficult paths towards acquiring their ideal names. LeBron James remains the dream scenario to join them in free agency and unite with rival Stephen Curry for the first time in their NBA careers. Unfortunately for Golden State, it appears that LeBron is prioritizing the Cleveland […] The post Warriors Top Backup Plan For LeBron James Falling Apart appeared first on HEAVY.

Jul 8 • 8:22 PM EDT • Sports • sports.yahoo.com

Taiwan Tests Doomsday Invasion Scenario as China Pressure Intensifies

The drills represent a shift from Taiwan's previous emergency exercises, which had often been criticized as overly scripted and symbolic.

Jul 3 • 4:19 AM EDT • Politics • politicstoday.org

Danganronpa 2x2 Game Reveals ‘Slayhem’ Title for New Scenario, Delay to Early 2027

New alternate “Slayhem” scenario to be about 35 hours long

Jul 2 • 8:00 PM EDT • Technology • animenewsnetwork.com

Best of the Valley 2026: Our Favorites in Lifestyle & Entertainment

The Valley’s wellspring of cultural diversions - festivals, the arts, fitness, et al. - has never been deeper or more diverse. Grab your swimsuit and dive in!

Jul 1 • 10:43 AM EDT • Entertainment • phoenixmag.com

The Lasting Consequences of Bad Climate Science

The retirement of flawed baseline emissions scenarios will initiate changes across energy policy, regulation, and law.

Jun 30 • 6:13 PM EDT • Science • thedispatch.com

New BioShocking attack manipulates AI browser into data theft

A new prompt injection attack dubbed "BioShocking" could trick AI-powered browsers into treating real-world risky actions as part of a fictional scenario, causing them to ignore any safety guardrails.

Jun 30 • 5:50 PM EDT • Technology • bleepingcomputer.com

Could the Vikings eventually be forced to trade Justin Jefferson?

Is there a scenario where the Minnesota Vikings are forced to trade Justin Jefferson?

Jun 27 • 12:17 AM EDT • Sports • sports.yahoo.com

In 3-game healthcare series, underdog large-language models sweep specialized AI powerhouses

Pitting three multipurpose LLMs against two healthcare-specific AI tools, researchers have discovered the consumer-level AI can beat its purpose-built counterparts in healthcare scenarios—and soundly, at that.

Jun 24 • 8:07 PM EDT • Health • healthexec.com

What does CBS Sports think is the best case scenario for the Vikings?

The Vikings season could go one of two ways, what does CBS Sports think is the good way?

Jun 24 • 1:55 PM EDT • Sports • sports.yahoo.com

What Are Colts' Best and Worst-Case Scenarios in 2026?

It's apparent that the Indianapolis Colts' success in 2026 lies heavily on quarterback Daniel Jones' shoulders.

Jun 24 • 10:45 AM EDT • Sports • sports.yahoo.com

How good (or bad) can it get? The best- and worst-case scenarios for every NFL team in 2026

Can the Cowboys finally break through? Will Patrick Mahomes regain his MVP form? Here are the dream and nightmare outcomes for your favorite team this fall

Jun 17 • 11:19 AM EDT • Sports • cbssports.com

2 ways SpaceX can further justify sky-high valuation: Morningstar

The firm argues investors are pricing in "moonshot" scenarios for the company's business lines.

Jun 17 • 4:46 AM EDT • Business • businessinsider.com

Highest possible ambition: science-aligned fossil fuel phase-out…

This brief presents some timelines on what transitioning away from fossil fuels could look like at both the global and national level, building on the Highest Possible Ambition scenario released last year by Climate Analytics and PIK. Focusing on fossil fuel demand, this brief provides data on the…

Jun 16 • 10:02 AM EDT • Science • climateanalytics.org

Health Science Institute hosts disaster drill on USI campus

First responders pulled out stretchers, performed triage, and administered aid on the students, who were acting in a disaster scenario.

Jun 15 • 11:26 PM EDT • Science • 14news.com

Braves reporter sounds alarm on worst-case scenario for Spencer Strider's elbow injury

The Atlanta Braves are now likely going to be without Spencer Strider for quite some time, maybe even the season. His doctor he will be seeing suggest elbow surgery is on the way.

Jun 15 • 1:24 AM EDT • Sports • sports.yahoo.com

When is rare good news on climate science actually bad? When News Corp misrepresents it

The worst-case scenario for a high-emissions scenario has been revised downward – but the best-case option is now implausible

Jun 10 • 11:00 AM EDT • Science • theguardian.com