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Three Of The Earth’s Five Mass Extinctions May Not Have Been What We Thought

While more gradual processes may reduce how dramatic these events look in hindsight, it also makes human-induced extinction stick out more severely.

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Oct 23 • 7:24 AM EDT • Science • iflscience.com
Overdose deaths have plunged. We need to know why

The humbling truth is that forces outside medical care and public health policies must be playing the biggest role in a dramatic drop in opioid overdose deaths, three health experts write.

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Oct 23 • 4:30 AM EDT • Health • statnews.com
A revolutionary new microscope could reveal the hidden machinery of life

Researchers have developed a revolutionary microscope that uses an incredibly powerful laser to make previously invisible cellular structures easier to see. The technology dramatically improves image clarity, allowing scientists to examine small proteins that conventional electron microscopes struggle to capture. It could eventually reveal how tiny molecular machines interact inside cells, providing an unprecedented look at the hidden workings of life.

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Oct 22 • 8:00 AM EDT • Science • sciencedaily.com
New Richland Lab Could Transform How Scientists Study Microbes and Boost Regional Jobs

The BriefGroundbreaking held Tuesday: PNNL officially began construction on the M2PC lab, a 30,800-square-foot facility funded by the U.S. Department of Energy's Office of Science that will study soil microbes to improve crop productivity and develop new biotechnology applications. The facility will be open to researchers from around the nation and the world.Research timelines could shrink dramatically: The facility's automation and AI capabilities could reduce experiments that currently take six months to just 72 hours, allowing scientists to explore more possibilities faster than ever before.New jobs coming to the Tri-Cities: The project is expected to create positions for automation engineers, AI experts, roboticists, technicians, and skilled craftspeople, with the facility opening in 2029.RICHLAND, Wash. — Pacific Northwest National Laboratory broke ground Tuesday on a first-of-its-kind facility that could accelerate scientific discoveries about the microscopic organisms living in soil—organisms that may hold the key to growing more food and developing new energy technologies.The Microbial Molecular Phenotyping Capability, or M2PC, represents a significant investment in automation and artificial intelligence to speed up research that traditionally takes years to complete. The 30,800-square-foot facility will house more than 100 connected automated instruments designed to study microbes at a pace and scale never before possible.Reshaping Agriculture's FutureThe M2PC facility will not put a new tool directly into a farmer's hands tomorrow morning, but it is actively reshaping the commercial pipeline to solve agriculture's biggest headache with biologicals: inconsistent field performance. For years, PNNL researchers have explored how microbes work and how they might help produce useful materials, advance energy technologies, and address challenges involving critical materials and minerals. But those experiments have been limited by what researchers could accomplish by hand."They can be used to provide nutrients to a plant so that the plant would grow more. So, like increasing your crop productivity, for example," said Douglas Mans, PNNL's Associate Laboratory Director for Integrated Discovery Sciences.PNNL's own research shows soil microbes can help plants access nutrients and withstand drought—benefits that could prove crucial as farmers face growing environmental pressures. The M2PC facility will allow scientists to identify and optimize useful microbes faster than ever before, accelerating the development of biological solutions that actually work consistently in the field.What Makes M2PC UniqueThe Microbial Molecular Phenotyping Capability differs from traditional research labs because it operates as a first-of-its-kind, AI-enabled autonomous laboratory designed to shrink experimental timelines from years down to months or weeks. The M2PC lab will connect more than 100 automated instruments to grow microbes, prepare samples, measure their behavior, and link observations to the molecular processes behind them. Artificial intelligence will help analyze results and guide the next experiments, allowing scientists to explore more questions faster.Deb Gracio, PNNL Director, emphasized the transformative potential during Tuesday's groundbreaking ceremony: "Research that has taken years will become possible in months and hopefully in weeks."That acceleration is already being demonstrated. PNNL's smaller automated lab, called the Anaerobic Microbial Phenotyping Platform or AMP2, completed three experimental cycles in just 72 hours—a process that normally would have taken about six months."That normally would have taken us about six months … and we were able to do that in 72 hours," Mans said.The AMP2 laboratory is not being closed or replaced. Instead, the current 1,800-square-foot laboratory serves as an active prototype and precursor for the much larger M2PC facility. AMP2 will continue operating as a separate lab designed to run anaerobic experiments—those conducted in the absence of oxygen—while M2PC will focus on aerobic research.Broader Applications Beyond AgricultureWhile improving crop productivity is one important application, the M2PC facility is designed to support research into multiple areas critical to national priorities. The lab will advance research into biofuels, manufacturing materials, and energy technologies. It will also help researchers understand how microbes respond to environmental changes and how to design biological systems for biotechnology applications.As a flagship component of the Department of Energy's Genesis Mission, M2PC represents a significant investment in using artificial intelligence and automation to accelerate U.S. scientific discovery. Dorothy Koch, Associate Director of the DOE Office of Science Biological and Environmental Research program, highlighted the facility's importance during the groundbreaking."M2PC will accelerate biological discovery and design," Koch said, noting that the facility is expected to conduct a minimum of 500 strain experiments per week, 100 microbiome experiments per week, and take a million measurements per month.Economic Opportunity for the RegionBeyond the scientific breakthroughs, the M2PC project represents significant economic opportunity for the Tri-Cities region. The facility will require hiring automation engineers, AI experts, technicians skilled in operating robotics, and specialized craftspeople to build and maintain the sophisticated equipment."We're anticipating that type of hiring," Mans said when asked about job creation.PNNL has already begun recruiting talent nationally and internationally for positions related to the smaller AMP2 lab, bringing automation engineers from cities like Boston and San Francisco to work in the region. The M2PC facility is expected to accelerate that trend."This capability won't really exist anywhere else in the world," Mans said, suggesting the facility could become a draw for scientific talent seeking to work on cutting-edge biotechnology research.Timeline and Next StepsThe M2PC facility is expected to open in 2029. Between now and then, construction crews will level and prepare the ground, while the building takes shape. Simultaneously, Ginkgo Bio Works, the automation contractor, will build the facility's automation components off-site so they can be installed as the building is completed.In the interim, PNNL researchers and the broader scientific community will begin planning the first experiments to be conducted in the facility, ensuring research is lined up and ready to begin as soon as the doors open.The groundbreaking ceremony included representatives from the Department of Energy, PNNL leadership, and elected officials at the federal, state, and local levels, underscoring the project's significance to the region and the nation's biotechnology future. News The U.S. Department of Energy Secretary tours Pacific Northwest National Laboratory Dan Hanson, Apple Valley News Now News Beyond DNA: Scientists Explore New Frontiers in Biology Research Dan Hanson, Apple Valley News Now News TRIDEC optimistic that Hanford, PNNL will see funding in national budget Robert Desaulniers News Big picture science: monitoring the Yakima River Basin News PNNL research could shape the future of fighting fentanyl ​COPYRIGHT 2026 BY APPLE VALLEY NEWS NOW. ALL RIGHTS RESERVED. THIS MATERIAL MAY NOT BE PUBLISHED, BROADCAST, REWRITTEN OR REDISTRIBUTED.

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Oct 20 • 7:44 PM EDT • Science • applevalleynewsnow.com
Marine life dramatically declined in Gulf of Mexico in years after BP oil spill, study finds

In the years after the 2010 BP oil spill, the number of fish in the deeper parts of the Gulf of Mexico dramatically declined.

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Oct 20 • 2:11 PM EDT • Science • 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.

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Oct 20 • 1:47 PM EDT • Technology • bigtechnology.com
America’s biggest measles outbreaks have very different death tolls. Why?

Outbreaks in Pennsylvania, South Carolina, Utah, and West Texas have produced dramatically different numbers of deaths.

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Oct 20 • 12:47 PM EDT • Health • healthbeat.org
Titans Win May Have Inadvertently Helped Colts

Tennessee's dramatic comeback win triggered a long-overdue housecleaning in Indianapolis, finally forcing the franchise to fire General Manager Chris Ballard following years of mediocre quarterback carousels.

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Oct 20 • 8:00 AM EDT • Sports • sports.yahoo.com
Portugal suspends, fines Cristiano Ronaldo for dramatic September walkout
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Oct 19 • 4:55 PM EDT • Sports • sports.yahoo.com
I needed to see the new Windows 11 Photos app in action to fathom how fast it is — it's like switching from dial-up to broadband

Microsoft rebuilt key parts of Photos, and the result appears dramatically faster than the sluggish app Windows users know today.

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Oct 19 • 12:58 PM EDT • Technology • windowscentral.com
Super El Niño forces dramatic color shift in the Pacific — as record-breaking temperatures threaten marine life
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Oct 19 • 10:59 AM EDT • Technology • nypost.com
Victoria's Secret Fashion Show's biggest moments, including that surprise

LOS ANGELES – The Angels returned to Los Angeles on Sunday, bringing star power, dramatic wings, history-making bling and a big surprise to the Victoria's Secret Fashion Show after previously

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Oct 19 • 8:59 AM EDT • Entertainment • centraloregondaily.com
Black Death had dramatic effect on species diversity as humans abandoned farmland, study finds

Researchers have found that during the Black Death, when a third of the population of Europe was wiped out, biodiversity fell. Understanding their farming practices could help us increase diversity in modern agriculture.

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Oct 18 • 9:15 AM EDT • Science • livescience.com
Guardant Health (GH) Stock Looks Below Fair Value On A Huge Run

Guardant Health has turned into a dramatic long term story for shareholders, yet the real question now is whether the current US$158.60 price can be supported by the cash flows its business is expected to produce. With the stock sharply higher over several years and new clinical and regulatory developments landing, the focus has shifted to what the Discounted Cash Flow (DCF) view of its intrinsic value suggests about that price. Over the past 3 years the share price has risen by very large...

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Oct 17 • 11:42 PM EDT • Health • simplywall.st
Georgia Affordable Care Act health insurance premiums set to rise dramatically

Georgia marketplace health insurance premiums under the Affordable Care Act could skyrocket as high as 29 percent next year.

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Oct 16 • 10:19 PM EDT • Health • fox5atlanta.com
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Tesla’s new Roadster makes a flying debut, hitting 60 MPH in under a second

Tesla unveiled its long-anticipated Roadster on Thursday during a dramatic event in which the vehicle used compressed-air thrusters to fly off a ramp and perform a midair maneuver.

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Oct 15 • 10:02 PM EDT • Business • foxbusiness.com
Joe Manganiello shares shocking hospital photos showing dramatic weight loss after near-death health crisis

‘Magic Mike’ star Joe Manganiello shares photos of his dramatic weight loss during the health scare he writes about in his new book, ‘Bloodlines.’

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Oct 15 • 7:21 PM EDT • Health • ew.com
How BPC is Building Bipartisan Momentum on Youth Mental Health

America’s youth mental health crisis didn’t begin with COVID-19, but the pandemic dramatically accelerated it. More than 40% of teenagers reported persistent feelings of sadness or hopelessness. Youth suicide attempts, self-injury, and drug overdoses climbed to alarming levels. Meanwhile, the behavioral health system meant to catch these young people remains chronically understaffed and poorly designed … Continued

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Oct 15 • 4:18 PM EDT • Health • bipartisanpolicy.org
FBI agents and analysts who were fired for working on Trump classified files probe sue to get their jobs back

The investigation resulted in a dramatic 2022 FBI search of Mar-a-Lago that recovered classified records and later produced an indictment in federal court in Florida charging then-former President Donald Trump with dozens of felony counts.

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Oct 15 • 3:26 PM EDT • Politics • pbs.org
Hall Changed NLCS Game 3 and Made Brewers Postseason History

DL Hall stifled the Los Angeles Dodgers for 2.1 scoreless innings, sparking a dramatic comeback that crowned him the Milwaukee Brewers’ all-time leader in postseason wins.

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Oct 15 • 2:00 PM EDT • Sports • sports.yahoo.com
Americans with disabilities worry over cuts to major health survey

NEW YORK • The federal government is planning to dramatically shrink its most influential health survey, and some researchers worry that the changes will underestimate how many Americans are disabled. At least half the survey questions could be axed. The cost-saving change is part of an ongoing effort to slim down the 69-year-old National Health […]

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Oct 15 • 10:22 AM EDT • Health • denvergazette.com
Trump says those who leak military plans should be shot

At a rally in Arizona, the president dramatically escalated his attacks on news gathering and those willing to speak to the press.

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Oct 14 • 11:58 PM EDT • Politics • seattletimes.com
Judge orders Benson student to remain in mental health facility, for now

Wednesday marked the third hearing to decide whether the student should remain at a mental health facility or be transferred to a juvenile detention center. But it saw a dramatic last-second reversal, with the student only minutes away from being taken into custody to a local detention center.

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Oct 14 • 11:30 PM EDT • Health • opb.org
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Madera Flea Market vendors report sharp drop in business amid fears over ICE activity

Vendors at the Madera Flea Market say business has dropped dramatically in recent weeks as fears surround a reported increase in ICE activity.

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Oct 14 • 9:44 PM EDT • Business • abc30.com
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Maven’s Kate Ryder on using AI to help solve long-unanswered questions in women’s health-care

Maven CEO and founder Kate Ryder says AI has already dramatically lowered administrative costs and is writing all of the health benefits’ company’s code, but for patients, the greater promise of AI is in closing information gaps, a particularly frustrating issue women have always faced when seeking care.

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Oct 14 • 12:09 PM EDT • Health • cnbc.com
MIPCOM Cannes Attendance Dips as AI, Creators and Vertical Dramas Reshape Global Entertainment Market

CANNES, France — Attendance at MIPCOM Cannes was down this year, but the world’s largest international television market is undergoing a transformation that organizers say reflects the dramatic changes sweeping through the global entertainment business. MIPCOM Cannes 2026 drew 10,100 delegates from 104 countries, down from approximately 10,600 attendees from 107 countries last year. The … Continue reading "MIPCOM Cannes Attendance Dips as AI, Creators and Vertical Dramas Reshape Global Entertainment Market"

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Oct 14 • 11:47 AM EDT • Entertainment • mediaplaynews.com
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Americans with disabilities worry about proposed changes to major national health survey

The federal government plans to dramatically shrink the size of its National Health Interview Survey, sparking concerns about underestimating disability rates.

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Oct 14 • 10:14 AM EDT • Health • seattletimes.com
Americans with disabilities worry about proposed changes to major national health survey

NEW YORK (AP) — The federal government is planning to dramatically shrink its most influential health survey, and some researchers worry that the changes will

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Oct 14 • 10:13 AM EDT • Health • ktar.com
Scientists may have finally solved the mystery of the Moon’s two faces

Scientists may have solved a long-standing mystery about why the Moon’s two sides are so different, using samples collected from its farside for the first time. Their findings suggest that uneven heating from Earth's gravitational pull drove enormous flows of ancient magma, creating the dramatically different lunar landscapes we see today.

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Oct 13 • 8:00 PM EDT • Science • sciencedaily.com
Opinion: Kansas may surprise the nation and elect a Democrat to the US Senate. MAGA politics reshaped state.

Opinion from H. Edward Flentje: In 1932, Kansas voters elected Democrat George McGill to the U.S Senate. In the 32 senate elections since then, voters have consistently elected Republicans to represent them.This historic streak makes Democrat Adam Hamilton’s bid to prevail in his challenge to the reelection of U.S. Senator Roger Marshall an uphill climb. However, Marshall’s embrace of MAGA politics has changed the dynamics of the race and given Hamilton a credible shot at a dramatic upset.

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Oct 11 • 4:33 AM EDT • Politics • kansasreflector.com
Steelers’ Aaron Rodgers Predicted to Benefit From Major Colts Weakness

Pittsburgh has struggled to protect Aaron Rodgers, but one ESPN analyst expects a dramatic change against the Colts. The post Steelers’ Aaron Rodgers Predicted to Benefit From Major Colts Weakness appeared first on HEAVY.

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Oct 10 • 1:15 AM EDT • Sports • sports.yahoo.com
Many Kauai small businesses hanging on by a thread waiting for financial aid

A month after Hurricane Lowell destroyed businesses and caused a dramatic slowdown in customers, many Kauai operators are barely hanging on. The federal government announced approval of major disaster aid

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Oct 9 • 9:02 PM EDT • Business • kitv.com
Netflix’s Summer of Bummer

(Welcome to the Entertainment Strategy Guy, a newsletter on the entertainment industry and business strategy. I write a weekly Streaming Ratings Report and a bi-weekly strategy column, along with occasional deep dives into other topics, like today’s article. Please subscribe.) Today, I’ve got a guest post from longtime friend of the newsletter, Brandon Katz. I’ve been trying to find time all summer to look at Netflix’s straight-to-streaming film slate, but between a pre-planned trip and Nielsen moving up their streaming data timeline, I’ve been swamped. So I reached out to Brandon, one of my favorite fellow analysts, to write about it. And I feel like he captured the tone and data focus of the newsletter perfectly. You can connect with Brandon on LinkedIn and Twitter. Enjoy! Don’t worry, folks. You’re in safe hands with me. To ease any anxieties about an interloper in ESG’s domain, I’ll start by stealing one of his best framing devices: headlines. Box office flops are covered in the same way the Teenage Mutant Ninja Turtles eye pizza: with cartoonish insatiability. I would know. I’m a former reporter who wrote nearly identical headlines: Yet, intentionally or not, streaming misses get treated with kids gloves, filtered through a rosy lens: In the last six years, U.S. streaming viewership has become nearly as transparent as the box office, but the data often arrives weeks later, in a number of less intuitive metrics, and with nary an official budget to be found. This plays into the Wall Street-whispering narratives major streamers have been cultivating for years. They get a pass in a way that theatrical studios simply don’t. Subscribe Netflix’s Summer Slate Not a single Netflix original film released between May and August this year opened above 20 million U.S. TV hours, per Nielsen. That benchmark usually serves as the EntStrategyGuy’s floor for a streaming hit on Netflix. None of these films enjoyed a hit-cementing single week of 20-plus million hours during their runs. Netflix’s two best films were true crime docs, Maternal Instinct (16.5 million hours) and The Crash (19.7 million), the best overall week for a film this summer. Great for most other streamers, but not necessarily what we’re used to seeing from Netflix. For an overly-dramatic comparison, Happy Gilmore 2 opened last summer to around 47 million hours (celebrity cameos, baby!). Zooming out, the picture looks even worse. In 2026, Netflix’s five biggest scripted summer films posted the lowest average (28.6 million hours) and median (28.8 million hours) eight-week viewership totals of the past four years. Now, it’s unrealistic and unfair to expect Netflix to deliver a _KPop Demon Hunters-_sized hit every year. But it’s also not ideal to see the size of their hits shrinking over the last few summers. Let’s quickly run through some of the notable summer misses. Jennifer Lopez and Brett Goldstein’s perfectly fine romcom, Office Romance, fell off the charts after 20 million hours in its first two weeks. Top films usually last for four-plus weeks. Starry titles ideally don’t decay that fast either. Homegrown star Millie Bobby Brown couldn’t prevent the snappy Enola Holmes franchise from diminishing returns. At 14.3 million U.S. hours, the third film posted roughly half of what the first two films did in their first two weeks. What’s on Netflix calculated that per-day global views were down nearly 60% from the second movie. The Whisper Man did okay with more than 36 million hours over its first four weeks. But I expected a little more juice from a film featuring Robert De Niro, Michelle Monaghan, and Adam Scott. Kevin Hart’s Ladies First collected just 11.2 million hours total across two weeks. That’s a big miss for one of Netflix’s go-to stars. Plopping into the same bucket are Sunny Sandler’s Don’t Say Good Luck (10.3 million in two weeks) and John Cena’s Little Brother (17.5 million). Meanwhile, English-language originals Color Book (June 19), In the Hand of Dante (June 24) and Heartstopper Forever (July 17) never sniffed Nielsen’s Top 10 at all, despite needing only 2 to 5 million hours to land in the top ten most weeks. (By my count, eleven English-language scripted original films released between May and August did chart). It’s only fair to mention that Swapped (1-May) posted nearly 42 million U.S. hours over five weeks (the longest Netflix original run this summer) and is currently their eighth most-watched English-language film ever worldwide. Remarkably Bright Creatures (37 million, 4 weeks) and Voicemails for Isabelle (27 million, 4 weeks) weren’t bombs either. Still, overall, I think it’s fair to say this was a quieter summer season than we’re used to seeing from the market-leader. You might not realize that given the language commonly used in public analysis. The Twist Despite the starkly black-and-white tone of the coverage, here’s the twist: when many box office bombs arrive on streaming, their viewership looks a whole lot like many of Netflix’s supposedly successful summer releases. Hmm, where have we heard that one before? Masters of the Universe topped out at $65 million stateside against a $170 million budget_._ I’ll admit, Skeletor ripping sleeveless curls as a gym bro and bodyslamming Adam’s co-workers was funny. But, much to the chagrin of my bank account, my laughter doesn’t launch franchises. Yet the He-Man reboot opened to 19.6 million hours (from a Wednesday five-day opening instead of just one weekend), on par with Hoppers on Disney+ (19.4 million). It put up nearly 47 million hours over its first six weeks, bigger than all of Netflix’s summer releases. Pretty darn healthy and likely to land among the 25 most-watched movies on streaming this year. Sticking with Amazon, The Sheep Detectives just barely broke even at the box office with $133 million worldwide (and only $66 million domestic). I never expected cloven-hooved, cud-chewing mammals to be able to bring me to tears. Yet that’s exactly how I found myself at the end of this surprisingly affecting movie (#NoShame). It was likely the unexpected quality in a family-friendly film that powered its streaming over-performance. Sheep Detectives delivered a solid run for Prime video netting 26.2 million hours! How about franchise IP? Star Wars: The Mandalorian & Grogu had the lowest opening ($81 million) and lowest-grossing Disney-era live-action Star Wars film ($178 million domestic). One day before release, its Heat score (19.8%)—audiences who list their interest as a 7/7—fell behind blockbusters Wicked (21%), Superman (23%), Fantastic Four: First Steps (23%), Michael (23%), Toy Story 5 (26%) and Avatar: Fire and Ash (27%), according to Greenlight Analytics. The urgent enthusiasm just wasn’t there. On streaming, Mando opened to weeks of 12.1 million, 6.1 million and 2.7 million hours (21 million total) over its first three frames. Not the numbers Lucasfilm was hoping for nor the numbers of a streaming hit. But they’re in the same vicinity as some Netflix summer releases with $345 million at the global box office to offset a smidgen of the pain. Final Thoughts So why oh why does this nuance gap exist? Four key reasons: Data Literacy: A “$100 million opening” just makes sense. After decades of box office reporting, even casual movie fans are well-versed in the benchmarks of hits and home runs. There’s an immediate shorthand. But “16.5 million” hours doesn’t land nearly as cleanly. Despite leaps of progress, the streaming ratings era is still in its infancy compared to theatrical. The EntStrategyGuy and I met thanks to a late 2010s group chat of data nerds hungry to find a shred of certainty in nebulous streaming performance. I’m not surprised to see “No. 1 on Netflix” still getting misconstrued out in the wild. Timing: By Friday morning, we have the box office’s Thursday night previews totaled, allowing us to better project the weekend’s expectations. From there, ticket sales are reported daily. By Sunday, the film’s fate is usually finalized, at least in terms of public perception. In streaming, Nielsen recently improved its delay to…two weeks. The medium isn’t forced to contend with instant gratification as harshly. Financials: Theatrical film budgets are a mere Google away. Profit and loss is calculated in the cold and unforgiving naked light of day for all to see. But finding the vast majority of streaming exclusive movie budgets requires the forensic investigation skills of a Criminal Minds detective. Also, it’s very difficult to calculate how much revenue/value a straight-to-streaming films provides a streamer. This is why there are so few stories about streaming original movies “losing X amount of money”. On top of that, marketing budgets are far greater for theatrical movies than streaming exclusive movies, which leads to earlier and better awareness. This then translates to a wider pool of potential interest. Narrative Control: Netflix is the only major streaming service to publish weekly first-hand viewership data and annual engagement reports. Naturally, some headlines borrow their first-hand framing**.** Other streamers benefit from their comparative lack of transparency. They may occasionally announce vague performance platitudes such as Apple TV’s Mayday becoming its “biggest film debut on the platform to date over its first 18 days,” and that it ranked No. 1 with left-handed viewers in its first weekend. (Fine, I made up that second one). But, for the most part, they keep first-hand viewership shrouded in mystery to avoid bad press. Especially for outlets that demand multiple articles per day from their writers, it’s an easy (and understandable) way for some reporters to hit their daily article quota by just repeating what the streamers have told them. TL:DR version: Streaming-exclusive movies are asked to do different things than theatrical movies, but that doesn’t mean they should escape judgment. Both still need to draw enough eyeballs to justify their cost within the proper performance contexts. The more cleanly we can inject a little nuance into streaming analysis, the better we’ll understand the audience and content trends that drive this industry. And that’s what all of this is really about: knowing what audiences actually want! Brandon Katz is the Director of Insights & Content Strategy at Greenlight Analytics where he focuses on evaluating the ever-fluid media landscape to unearth understanding, opportunity and value. Greenlight Analytics is the entertainment intelligence consulting company redefining how Hollywood finds, understands, and activates audiences. Prior to joining Greenlight Analytics, he served as the senior entertainment industry strategist at Parrot Analytics, and as a full-time entertainment industry reporter covering the Xs and Os of Hollywood, most notably with TheWrap and the Observer.

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Oct 9 • 3:32 PM EDT • Entertainment • entertainment.substack.com
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One type of sleep linked to dramatically lower risk of dementia, Parkinson's and 81 other diseases

Greater REM sleep was linked to 80% lower Parkinson's risk and 46% lower dementia risk in a major study of over 95,000 adults tracked for years.

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Oct 9 • 2:06 PM EDT • Health • foxnews.com
Microsoft 365 just plummeted in value again — your family will lose a whopping 4TB of storage

Microsoft says the new storage model is more flexible, but families now get dramatically less OneDrive storage for the same price.

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Oct 9 • 7:02 AM EDT • Technology • windowscentral.com
How the bad science of AI doomerism is good for big business

When Jacob Coxon resigned earlier this month from Anthropic, citing dramatic concerns about AI racing humans toward extinction, it capped several years of public defections by employees warning that the AI companies are moving too fast and taking extraordinary risks.

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Oct 8 • 2:35 PM EDT • Science • peoplesworld.org
The latest Premier League market values 🤑💸

Money money.Between the World Cup, the start of the season and the transfer windows, players' market values have been shaken up this summer.Whether it's new arrivals, dramatic drops or incredible rise...

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Oct 8 • 8:56 AM EDT • Sports • sports.yahoo.com
Spanish politicians trade blame after death of octogenarian at heart of housing protests

Maricarmen Abascal had been hospitalised for severe anxiety and exhaustion since her dramatic eviction on September ​23.

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Oct 8 • 8:19 AM EDT • Politics • reuters.com
Open science is compatible with research security, says Canada’s chief science advisor

Open science is “not incompatible” with research security and science leaders and policymakers should “demystify” the false dichotomy between the two, according to Mona Nemer, Canada’s chief science advisor. More than a decade ago, EU policymakers were promoting open science, open innovation and open collaboration across the world. It was a political movement that aimed to make scientific research, data, software, publications and methodologies transparent, accessible and reusable for everyone.But that rhetoric has changed over the past few years. After Russia invaded Ukraine in 2022 and Donald Trump came back to power in 2025, international partnerships have become more pragmatic. Countries are trying to implement protectionist policies and governments are increasingly worried about technology espionage. According to Nemer, science can remain open if the sector can come up with improved security protocols that would protect research data from undue manipulation by foreign actors. “If anybody can fiddle with the with the data, then [open science] is actually quite dangerous and quite useless,” she told Science|Business. Universities and research institutions are increasingly vulnerable to attempted espionage and other types of foreign interference. In September, the UK’s domestic counter-intelligence service MI5 issued a security warning against collaborations with the China General Technology Research Institute. And earlier this year, Germany’s Helmholtz Center for Information Security was criticised by federal research minister Dorothee Bär, who told a parliamentary hearing that “existing rules and systems” at the institute “were not suitable” for preventing leaks to China. According to Nemer, universities and research institutions should perhaps follow the example of the private sector, as companies have been able to safeguard their research while still publishing results. “I think that there is a level of research security hygiene that researchers and institutions need to just adopt,” she said. “You don't have to tell Sanofi or IBM how to safeguard their research, which they end up publishing anyway.”While certain areas of research will not be open for collaboration with certain partners, in other areas cooperation is necessary even with researchers based in adversarial countries. “I stress this because politics change,” she said. “Science and politics don't make for good fellows, and whether we like it or not, politics will influence certain things.”Researchers will play an important role in “protecting the integrity of science,” said Nemer. “I think that it's time that there's a commitment to a certain scientific compact, so that citizens don't think that science is actually an open door for espionage and for anti-nationalism.”New partnershipsNemer spoke with Science|Business on the margins of the Hamburg Science Summit on September 17, the day when Canadian Prime Minister Mark Carney called for increased cooperation with the EU, including in science and technology. Canada is looking to strengthen ties with partners in other corners of the world, after the Trump administration threatened to put tariffs on Canadian goods and services and even openly suggested Canada could become the 51st state. In parallel, the US government has indicated it wants to retreat from international science projects, including US collaboration with Europe’s CERN particle accelerator and other big science labs.Related articlesThe stats we need to better understand R&DCanada looks to deepen research and education links with the EUCan researchers trust that AI models won’t leak their ideas?Nemer said the US is still a science “powerhouse,” but Canada and Europe will have to work closely together on global challenges. “It’s important for both [sides], but I think it's also important for the rest of the world, because the cut in funding for development, in health, in regions like Africa and other places, have dramatic effects.” The Trump administration is also planning a review of the Nelson memo, a Biden-era document that mandated that results of federally funded research would be openly available. With that idea being called into question, Nemer said it could be “very disruptive” to scientific collaborations and could jeopardise research on climate change, the Arctic and global health. “When your collaborator suddenly tells you I'm not going to share the data with you as a researcher, if this happens, I think it's very worrisome,” she said. “I'm certainly hoping that a lot of the Canadian institutions, funders, researchers, have started looking at joining forces on databases and using more European research infrastructures,” Nemer added.

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Oct 8 • 8:00 AM EDT • Science • sciencebusiness.net
How the Polls Could Be Wrong Again

Democrats appear headed toward a big victory. But a small polling error could mean a dramatically different outcome.

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Oct 8 • 7:15 AM EDT • Politics • theatlantic.com
La Liga's new market values 🤑💸

That's a lot of zeros.Between the World Cup, the start of the season and the transfer windows, players' market values have been shaken up this summer.From new arrivals to dramatic drops and massive ri...

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Oct 7 • 1:55 PM EDT • Sports • sports.yahoo.com
Folsom Lake Symphony opens season with Berlioz

FOLSOM — The Folsom Lake Symphony launches its 2026-27 season with a passionate and dramatic opening night program, 7:30 p.m. Saturday, Oct. 10, at Harris Center for the Arts.

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Oct 7 • 1:00 PM EDT • Entertainment • villagelife.com
Week 5 changes the picture for college football’s undefeated teams

Week 5 reshaped the college football landscape as several undefeated teams suffered their first losses. Alabama, Georgia, Notre Dame and Miami strengthened their playoff cases, while Texas remained No. 1. With 15 unbeaten teams left, Week 6 brings crucial matchups that could dramatically reshape the national championship race.

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Oct 7 • 7:30 AM EDT • Sports • sports.yahoo.com
Evan Williams praises Jonathan Gannon after Packers’ dramatic win

The Green Bay Packers leaned on their defense to preserve a 17-14 victory over the Tampa Bay Buccaneers on Sunday, with Evan Williams delivering a pair of crucial plays during the closing moments. The safety’s performance on Tampa Bay’s last drive also gave him another reason to admire the work of defensive coordinator Jonathan Gannon. [...]

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Oct 6 • 10:10 AM EDT • Sports • sports.yahoo.com
Election Day nears without Senate, governor debate in Texas

No general election debates would be a dramatic departure from past Texas elections.

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Oct 5 • 6:40 PM EDT • Politics • spectrumlocalnews.com
Rams Stun Eagles With Wild Comeback to Avenge 2025 Heartbreak

The Rams pulled off a dramatic come-from-behind win against the Eagles, avenging their heartbreaking 2025 loss. The post Rams Stun Eagles With Wild Comeback to Avenge 2025 Heartbreak appeared first on LA Sports Report.

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Oct 4 • 7:54 PM EDT • Sports • sports.yahoo.com
Simon Edvinsson Reportedly Prefers Trade From Red Wings

Elliotte Friedman reports Simon Edvinsson prefers to be traded by the Detroit Red Wings as his contract standoff takes a dramatic turn.

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Oct 3 • 9:37 PM EDT • Sports • sports.yahoo.com
Whittaker survives late scare to hold on for points win

British light-heavyweight Ben Whittaker survives a dramatic late onslaught from Conor Wallace to move a step closer to a world-title shot with a points victory in Birmingham.

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Oct 3 • 7:07 PM EDT • Sports • sports.yahoo.com
Scientists find evidence for several Earth axis shifts during the age of dinosaurs

Sea-level changes offer an independent record of dramatic Jurassic and Cretaceous episodes when the solid Earth may have reoriented.

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Oct 3 • 2:07 PM EDT • Science • thebrighterside.news
TST Best Bets: October 3, 2026

Mississippi State gets a chance to show how far it has come Saturday, welcoming No. 7 Alabama to Starkville for a matchup of unbeaten SEC teams. Kamario Taylor has helped turn the No. 16 Bulldogs into an early surprise, but keeping up with the Crimson Tide will be their biggest test yet.Over in the Big Ten, No. 14 Iowa returns home after its dramatic win at Michigan to face No. 6 Ohio State. The Hawkeyes will lean on their defense again, this time trying to slow down Julian Sayin and Jeremiah Sm

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Oct 3 • 11:52 AM EDT • Sports • sports.yahoo.com
ESA’s Juice just used Earth as a slingshot to Jupiter

ESA’s Juice spacecraft raced past Earth on September 28, using our planet’s gravity to dramatically reshape its path toward Jupiter without burning much fuel. The flyby changed its direction by 20 degrees and increased its speed by 3.5 km/s, while also giving scientists a rare chance to test its instruments on Earth and the Moon.

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Oct 3 • 8:00 AM EDT • Science • sciencedaily.com
'Gold Rush': Rick Ness Reveals Dangerous Health Issue in Dramatic Season 17 Premiere

Plus, Parker Schnabel finds himself on Tony Beets' property line while a new face joins the treasure hunt.

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Oct 2 • 10:00 PM EDT • Health • tvinsider.com
Mars’ North Polar Ice Is Much Cleaner Than Scientists Thought

Beneath the dusty surface of Mars’ north pole, scientists have uncovered surprisingly clean layers of ice that may preserve a hidden record of the planet’s dramatic climate history. Earth maintains a relatively steady posture in space thanks to the gravitational anchor of a massive moon. Mars lacks that stability. Tugged only by two tiny moons,

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Oct 2 • 3:06 PM EDT • Science • scitechdaily.com
Bishop’s computer science chair says AI is eliminating ‘grunt work’ and reshaping digital jobs

Dr. Russell Butler, chair of Bishop’s University’s Department of Computer Science, says artificial intelligence is increasingly taking over routine digital “grunt work,” changing the skills students and workers may need in the years ahead. Photo courtesy of Bishop’s University. Click here to read our platform! Get local news like this every morning. Subscribe free below. Subscribe Pulse Newsroom Artificial intelligence is already taking over some of the routine digital work once performed by entry-level employees, according to Bishop’s University Computer Science chair Dr. Russell Butler — a shift he believes will make expertise, judgement and the ability to evaluate AI-generated work increasingly important. Butler described the change as automation reaching what he calls the “bottom of the cognitive pyramid” during an interview with The Pulse about AI, university education and the future of digital work. His argument is not that humans are disappearing from the workplace. Instead, he sees their role changing as AI becomes capable of handling more of the repetitive tasks involved in computer-based work. “Everything’s converging on just AI basically doing all the grunt work,” Butler said. The bottom of the cognitive pyramid Butler is from Lennoxville, completed his undergraduate studies at Bishop’s and later earned his PhD at the Université de Sherbrooke. He joined Bishop’s in 2019 and now chairs its Department of Computer Science. He uses AI in research, teaching and other creative work, and said the technology is increasingly capable of handling routine digital tasks that once required substantial human time. “You’ve got the grunt work, like moving things around in Excel, doing basic programming tasks,” Butler said. “That’s like the bottom grunt work that the entry-level worker would have done two or three years ago.” Butler went further, saying in his view that much of this type of work has already been absorbed by AI tools. He connected that change to a shift he sees taking place in computer science, where entry-level roles have declined while experienced workers can use AI to increase what they can produce. “A senior developer now has access to essentially an unlimited amount of junior developers on demand,” Butler said. He was describing AI systems metaphorically, not literal employees. His point was that one experienced developer can now ask AI tools to produce code or other technical work that might previously have been assigned to more junior workers. That raises a broader question for universities and employers. If some of the simpler work traditionally given to newcomers can now be done by machines, how do people gain the experience needed to become senior workers themselves? Students doing work that once required years of programming Butler said he is already seeing the change inside his classroom. He created a Bishop’s course called CS208, Coding in Plain English, to show students — including those without traditional programming backgrounds — what they can accomplish using AI. Some come from disciplines such as psychology or neuroscience with no previous programming experience. “What I’m finding is that students who have zero programming experience, they come in from another discipline like psychology or neuroscience or something, they are now able to get up and running with real data sets,” Butler said. Butler’s own doctoral work involved neuroimaging, and he said he has assigned students work he considers comparable to the kinds of analysis he performed during his PhD. He described giving students a real dataset, an expected result and instructions to use AI to complete the analysis. Butler said those students have been able to carry out work at a level he associates with tasks he once performed after years of programming experience. That does not mean a student using AI instantly acquires the same knowledge as an experienced computer scientist. But Butler sees it as evidence that AI can dramatically lower the technical barrier between having a problem to solve and producing a working result. The role of the person using the system then changes. They need to know what to ask for, understand enough about the subject to judge the answer and take responsibility for what is ultimately produced. What about AI hallucinations? One persistent concern surrounding generative AI is hallucination — when a system produces information that sounds convincing but is false or unsupported. Butler said that problem has improved substantially in newer systems and is not as severe as it was with earlier models. He pointed in particular to newer AI systems’ ability to search the web, consult scientific databases and return source links rather than simply generating a citation from their internal model. Butler nevertheless said users should verify what AI produces. “You should verify,” he said while discussing citations generated with AI. His position is that hallucinations have become less common in the systems he uses, not that incorrect AI output is impossible. Human checking remains part of the process. Hours of work compressed Butler offered another example from his administrative work at Bishop’s. The university has been comparing CEGEP courses with first-year Bishop’s courses to determine where students may qualify for advanced standing. Traditionally, Butler said, that means reviewing two sets of course descriptions and manually matching one institution’s courses with another’s. As department chair, that could require hours of reading and comparison. He said AI can now be given both sets of material and asked to generate an initial mapping automatically. “It saves me hours and hours of work,” Butler said. Butler said the AI-generated mapping can also produce a better result than he would produce himself. He sees similar opportunities in businesses. A company may receive specifications, drawings, emails or other digital material from customers and then have employees convert that information into an internal format before anything can be manufactured or delivered. AI can increasingly perform parts of that intermediate processing. In Butler’s view, the employee does not necessarily disappear. Instead, the job becomes more about checking the result. “The human is still there,” he said. Judgement could become more valuable That change is central to Butler’s view of where digital work may be headed. If AI can produce a first draft, write basic code, compare documents or process large amounts of information, he argues that knowledge and judgement become increasingly important. “The real scarce resource going forward is going to be domain knowledge, expertise, and… credentials, authority, the ability to work with other people,” Butler said. He is therefore encouraging students not only to learn AI tools but also to broaden their education. He mentioned acting, fine art and photography as examples of courses that can help develop what he described as taste and intuition — the ability to recognize what is good, what is not and what should be changed. “And that’s the skill that they need now because the grunt work has been automated and now it’s about evaluating what the AI produces and telling it how to improve or expand the output,” Butler said. That does not remove the need for technical knowledge. Butler’s argument is that the emphasis may shift away from manually completing every step of a task and toward directing, checking and improving work produced with AI assistance. He also stressed that humans remain responsible for final decisions. “At the end of the day, the human has to make the final call,” Butler said, pointing to the question of accountability. Physical work may be different Butler draws a distinction between digital work and jobs requiring people to manipulate the physical world. He expects AI to continue advancing quickly in tasks performed almost entirely on computers. He is more cautious about claims that humanoid robots will soon be able to replace workers such as plumbers or electricians. Butler said those trades would not be replaced “anytime soon” in his view and described some current robotics demonstrations as overhyped. He described the situation as counterintuitive. “It’s almost like we solved the highest level first,” he said, contrasting advances in digital AI with the harder problem of building robots capable of operating reliably in the physical world. Butler’s argument is that some digital occupations could face automation sooner than trades requiring complex physical work. The wider AI shift in the Townships Butler’s comments come as local institutions are increasingly grappling with how AI should be used. The federal government recently announced up to $162 million over five years for 10,000 AI-related placements through Mitacs. The Université de Sherbrooke told The Pulse that the number of its collaborative research and innovation projects supported through Mitacs has approximately doubled since 2018-19, while the number of placements has approximately tripled. UdeS also said it already has projects involving both AI adoption and the application of AI to other fields. At Bishop’s, Butler said part of his role involves building the Computer Science department’s local presence, connecting students with regional partners and strengthening relationships with the Sherbrooke technology ecosystem. Those developments put universities in a difficult position. They have to prepare students to use the tools employers increasingly have available while also making sure graduates understand enough to recognize when those tools are wrong, incomplete or being applied to the wrong problem. The risk of losing human skills Butler does not see AI as risk-free. Later in the interview, he raised a separate concern: as AI becomes better at reading, writing, programming and other cognitive tasks, people could lose some of the underlying skills that historically helped produce new ideas. “The other danger is that we’re going to lose the human skills,” Butler said. He specifically mentioned reading and writing and argued that people could lose some of the lower-level understanding that contributes to breakthroughs. Butler said AI systems are based on existing human knowledge and argued that they become much more powerful when paired with a capable person. That tension runs through his view of the technology. AI can remove hours of routine work. It can allow beginners to perform tasks that once required substantial technical training. It can give experienced workers significant leverage. But the more capable the technology becomes, the more important it may be for people to develop the judgement needed to decide what should be done in the first place. For Butler, that is where education may have to change. Students still need to understand their field. They still need to know when something is wrong. And they still need to be able to make the final decision. But if AI increasingly handles the bottom of the cognitive pyramid, the value of a worker may depend less on how quickly they can perform the grunt work and more on whether they understand what the work is supposed to accomplish. Don’t miss the next story that affects your community. Join thousands of readers getting The Pulse every morning—plus breaking news alerts when it matters most. If you value this kind of local journalism, consider supporting it. Subscribe, share and like! Subscribe Share

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Oct 2 • 1:57 PM EDT • Science • publisherpt.substack.com
AP report: Senate Republicans move cash from North Carolina to Kansas as battle for majority shifts

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Oct 2 • 1:28 PM EDT • Politics • pbs.org
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Oct 1 • 11:28 PM EDT • Sports • foxsports.com
Rafael Leão given Portugal's number 7 shirt after Ronaldo exit

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Oct 1 • 5:35 AM EDT • Sports • sports.yahoo.com
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Sep 30 • 5:21 PM EDT • Science • mvtimes.com
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Sep 30 • 4:37 PM EDT • Business • wlos.com
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Sep 30 • 12:08 PM EDT • Business • chicagobusiness.com
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Sep 29 • 6:10 PM EDT • Sports • sports.yahoo.com
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Sep 29 • 12:00 PM EDT • Sports • sports.yahoo.com
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Sep 29 • 7:19 AM EDT • Sports • sports.yahoo.com
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Sep 28 • 8:00 PM EDT • Science • sciencedaily.com
Broadcast To Hit A Double, Peacock Going Deep In NBC Sports Coverage Of MLB Wild Card Playoffs

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Sep 28 • 7:19 PM EDT • Sports • sports.yahoo.com
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Sep 28 • 9:16 AM EDT • Health • usnews.com
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Sep 28 • 7:32 AM EDT • Technology • motor1.com
Colts Edge Texans in Dramatic 19-17 Victory

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Sep 27 • 6:38 PM EDT • Sports • sports.yahoo.com
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Sep 27 • 6:21 PM EDT • Entertainment • yahoo.com
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Sep 26 • 8:00 AM EDT • Science • sciencedaily.com
Stephen Curry’s $20 Million Warriors Decision Could Have Massive Payoff

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Sep 26 • 1:45 AM EDT • Sports • sports.yahoo.com
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Sep 25 • 12:01 AM EDT • Politics • cnn.com
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Sep 24 • 5:00 AM EDT • Business • indianacapitalchronicle.com
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Sep 24 • 12:37 AM EDT • Entertainment • ew.com
Trump SBA to Extend Comment Period After Ranking Member Markey Leads Effort to Rescind SBA Policy that Reclassifies Billion-Dollar Businesses as “Small Businesses”

Trump admin policy would reclassify 114,000 larger businesses as “small” to access small business resources and win federal contracts meant for small businesses Letter (PDF) (Washington, September 23) – This week, the Small Business Administration (SBA) announced its plans to extend the deadline to submit comments on its controversial proposed rule regarding small business size standards until November 20. The Trump SBA’s announcement came shortly after Ranking Member Edward J. Markey (D-Mass.), alongside 12 of his Senate colleagues, sent a letter to Administrator Kelly Loeffler demanding that the Trump SBA rescind a harmful policy that would dramatically redefine what a small business is. The Administration’s proposed policy would change the small business size standard to designate 114,000 larger companies some with annual revenue above $1 billion—as small businesses, giving these businesses access to small business resources and federal contracts typically set aside for actual small businesses. In the letter, Ranking Member Markey and the lawmakers emphasized that small businesses will be shut out of the federal contracting space as government agencies award contracts to larger businesses, causing small businesses to lose revenue, lay off workers, or close their businesses entirely. “For more than 70 years, SBA’s mission has been clear: promote and protect the interests and viability of small businesses. By proceeding with this proposed methodology and rule, SBA moves further away from its mission of facilitating healthy small business participation in the U.S. economy. We urge SBA to rescind these proposals, meet in earnest with small businesses across the country, and discuss the proposal and methodology with congressional committees of jurisdiction. SBA must be committed to developing measured increases to the size standards that do not reward large, billion-dollar companies but instead helps our small businesses survive, grow, and thrive.” The lawmakers highlighted the following points in their letter: Under the Trump SBA’s new size standards, the highest receipts-based standard would exceed $1 billion in annual revenue—more than 20 times the current $47 million maximum—and the highest employee-based standard would reach 3,600 employees—more than twice the current 1,500 employee maximum. Specific increases include an increase in size of nearly 492% for banks, 1,500% for law firms, and more than 2,051% for private equity firms. Of the 114,000 businesses that would be newly classified as small, more than 37,000 of these businesses have collectively won more than 100,000 federal contracts worth approximately $71 billion in Fiscal Year 2025 alone without a small business designation. If SBA included the awards won by these 37,000 businesses in its Fiscal Year 2025 analysis, small business contracts would have accounted for 38% of all federal contracts, instead of the 27% that SBA announced this summer. The letter was co-signed by Senators Mazie Hirono (D-Hawaii), Angela Alsobrooks (D-Md.), Richard Blumenthal (D-Conn.), Christopher Coons (D-Dela.), Elissa Slotkin (D-Mich.), Chris Van Hollen (D-Md.), Jacky Rosen (D-Nev.), Elizabeth Warren (D-Mass.), Tim Kaine (D-Va.), Brian Schatz (D-Hawaii), Mark Warner (D-Va.), and Ruben Gallego (D-Ariz.). Ranking Member Markey is fighting to protect small businesses in Massachusetts and across the country from the Trump SBA’s harmful policies that put big businesses and billionaires over American small businesses, workers, and families. In August, Ranking Member Markey slammed the Trump SBA’s proposal to overhaul its small business size standards to benefit big businesses over small businesses. In July, Ranking Member Markey and House Small Business Committee Ranking Member Nydia M. Velázquez (D-NY-7) introduced a Congressional Review Act (CRA) resolution to rescind the Trump administration’s policy that bans green card holders from accessing essential Small Business Administration (SBA) loans to start and grow their businesses. Also in July, Ranking Member Markey and Senator Hirono submitted a comment letter to the Small Business Administration (SBA) opposing a proposed rule change by Trump’s SBA to the 8(a) Business Development Program that would harm underserved small business owners and entrepreneurs. In June, Ranking Member Markey released a new report highlighting Trump’s drastic reduction in federal contracting dollars awarded to American small businesses. ###

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Sep 23 • 6:23 PM EDT • Business • sbc.senate.gov
AL West Race Comes Down to the Wire!

The American League West is turning into one of baseball’s most dramatic division races, and it could come down to the final game of the regular season. The Houston Astros and Texas Rangers are tied at 78-79 with just five games remaining. Houston currently holds the tiebreaker after winning the season series against Texas, giving…

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Sep 23 • 6:08 PM EDT • Sports • sports.yahoo.com
“Survivor 51 ”cast deliver super dramatic exit lines after being blindsided (exclusive)

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Sep 23 • 10:15 AM EDT • Entertainment • yahoo.com
Coffee doesn’t have to keep you awake to disrupt your sleep

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Sep 22 • 8:00 AM EDT • Science • sciencedaily.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

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Sep 22 • 6:03 AM EDT • Health • jenndowd.substack.com
Laver Cup 2026 format, points-scoring system explained

Team World hit back in San Francisco after their dramatic loss to Team Europe in the 2025 Laver Cup. Will it be repeat or revenge in London?

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Sep 21 • 2:19 PM EDT • Sports • sports.yahoo.com
Apple Watch Series 12 and Ultra 4 introduce a new Theater Mode setting

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Sep 21 • 12:49 PM EDT • Technology • 9to5mac.com
Dramatic before and after photos that show off Abby Lee Miller's 127lb weight loss - as Dance Moms star turns 61

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Sep 21 • 7:01 AM EDT • Entertainment • yahoo.com
Smyth grabs headlines but Saito stars

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Sep 21 • 5:15 AM EDT • Sports • sports.yahoo.com
Patrick Mahomes leads Chiefs to dramatic overtime win against Colts

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Sep 21 • 2:33 AM EDT • Sports • sports.yahoo.com
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Arctic Melt Season Length Levels Off

While the sea ice melt season has lengthened dramatically in most of the satellite era, the trend unexpectedly stabilized around 2010.

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Sep 21 • 12:00 AM EDT • Science • science.nasa.gov
Hailey Bieber Unveils Her Darkest Hair Transformation in More Than a Decade

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Sep 20 • 10:10 PM EDT • Entertainment • kansascity.com
Packers Rally to Stun Jets in Overtime

The Green Bay Packers pulled off a dramatic comeback Sunday afternoon, rallying from a 10-point fourth-quarter deficit to defeat the New York Jets 20-17 in overtime at MetLife Stadium. The Jets appeared to be in control for much of the afternoon and held a 17-7 lead with just over 11 minutes remaining in the fourth…

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Sep 20 • 5:13 PM EDT • Sports • sports.yahoo.com
Arsenal Women Weekly Roundup: Man United draw exposes attacking concerns

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Sep 20 • 11:30 AM EDT • Sports • sports.yahoo.com
Chris McKenna Made Sure One Special Costar ‘Got Her Flowers’ Before ‘General Hospital’ Exit

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Sep 19 • 6:33 PM EDT • Entertainment • yahoo.com
Blaze win One-Day Cup in last-ball thriller

Emma Jones seals the Blaze's treble success with a dramatic last-ball boundary to win a thrilling One-Day Cup final and shatter Hampshire's hopes of silverware.

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Sep 19 • 1:16 PM EDT • Sports • sports.yahoo.com
Frustration grows as Houthis widen Middle East conflict with US unwilling to intervene

Dramatic recent advances by the Iran-backed Houthis, including the seizure of a strategically important island in the Red Sea, have dealt another blow to a region reeling from the US war with Iran and exacerbated an already severe global energy crisis. But neither the US nor its key ally Saudi Arabia has a clear plan to beat back the group, multiple sources told CNN, leading many in the region to ask where the counteroffensive will come from.

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Sep 19 • 12:00 AM EDT • Politics • cnn.com
Billions at stake as Texas reshapes business contract program

Texas has dramatically overhauled its Historically Underutilized Business (HUB) program in the past year, shifting eligibility toward service-disabled veterans and leaving thousands of minority- an…

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Sep 18 • 8:00 AM EDT • Business • kxan.com
Five Ways the World of the Dinosaurs Looked Different From Ours, Beyond the Presence of the 'Terrible Lizards'

Earth has changed dramatically since the Age of Dinosaurs, from its climate to geography and animal life

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Sep 18 • 7:57 AM EDT • Science • smithsonianmag.com
The Erie SeaWolves Have Built a Double-A Winning Tradition

While Detroit stumbles, their Double-A affiliate secures a fifth straight championship berth. A dramatic three-run blast fueled the comeback, proving the Tigers’ winning culture thrives in Erie.

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Sep 17 • 11:20 PM EDT • Sports • sports.yahoo.com
Caltech’s tiny new chip can steer light in 74 quadrillionths of a second

A new Caltech device can redirect a beam of light in just 74 femtoseconds using another beam and a nanoscale silicon metasurface. The breakthrough could pave the way for dramatically faster photonic communications, computing, and sensing technologies.

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Sep 17 • 8:00 PM EDT • Science • sciencedaily.com
Trump's push to restrict mail ballots failed. Other efforts to reshape the midterms continue

The Supreme Court this week closed the chapter on one of Trump’s effort to dramatically overhaul of the nation’s mail voting processes. But the case was just one example of the Republican president’s numerous attempts to assert federal control over the upcoming midterms.

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Sep 17 • 6:26 PM EDT • Politics • pbs.org
State audit shows Ohio energy prices up 30%

A state audit of the Public Utilities Commission of Ohio shows that bills have spiked dramatically, and the agency exhibits a lack of preparation for rising energy needs.

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Sep 17 • 5:42 PM EDT • Politics • news5cleveland.com
Opinion: What we have lost by losing trust in science

We inherited a world made dramatically safer by people who believed that knowledge could improve human lives

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Sep 17 • 5:07 PM EDT • Science • deseret.com
Opinion: What we have lost by losing trust in science

We inherited a world made dramatically safer by people who believed that knowledge could improve human lives.

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Sep 17 • 5:07 PM EDT • Science • yahoo.com
Hidden Megacities Discovered Beneath Amazon Jungle: Scientists Stunned by Scale - Futura-Sciences

Millennia-Old Urban Networks Revealed by Modern Science It turns out, the Amazon wasn’t always the wild jungle we picture today. Between around 600 BCE and 850 CE, a civilization known as the Aquiry dramatically transformed large parts of the southwestern Amazon Basin. These people dug colossal ditches and geometric earthworks,...

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Sep 17 • 3:00 PM EDT • Science • futura-sciences.com