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Dan Campbell Delivers Encouraging Kerby Joseph Injury Update
Dan Campbell says he expects Kerby Joseph to play for the Detroit Lions this season, but the All-Pro safety still has no return timeline.
Neat goes national: KU business alum takes his sweat-hiding T-shirt to ‘Shark Tank’ Nov. 4
It’s a neat pitch: shirts for men who sweat and would rather not show it: the job interview, the first date, the big presentation. Patented technology is built into the fabric so professionals look composed when it counts, Jim Huffman said, describing the product he’s sharing with TV’s highest-profile investors.
On3 Sports Honors Kentucky’s Lance Heard, Coach Will Stein in Midseason National Awards
Kentucky football head coach Will Stein has been named On3 Sports’ Midseason National Coach of the Year and offensive lineman Lance Heard a First Team All-American.
Bam Knight has big day in Arizona Cardinals win over Rams
Bam Knight had a big game for the Cardinals on Sunday.
United CEO Scott Kirby wants a nationwide wealth tax
United CEO Scott Kirby said that income inequality "has become a danger to our society."
Evert published in Journal of Small Business Management
Robert Evert, assistant professor for strategy and entrepreneurship, and co-authors had their paper, “Initial international...
How to watch the 2026-2027 NBA season: What streaming services do you need?
The national streaming lineup remains the same, but local broadcasts are a hot mess.
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.
This Week In Happy Valley: Football Blues
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Utah DCC to Help Lead Data and Analytics for National Study of Childhood Viral Infections
The DCC will integrate information collected by a consortium to study why viral respiratory infections affect children differently.
Christian Benford’s play has returned to normal in Bills defense
The Bills CB1 is back to doing normal CB1 things
Scientists left in the dark by National Science Foundation grant application delays
The Major Research Instrumentation program offers grants of up to $4 million to scientists buying research equipment
Giants release veteran linebacker after just 2 games
Giants quickly move on from Jihad Ward after two unimpressive games.
Patriots News: Vrabel – ’Everybody prepares as a starter’
Daily news and links for Tuesday, 10/20/26
Evolution of women’s healthcare focus of URI’s annual Youngken Clinic
KINGSTON, R.I. — Oct. 20, 2026 — Women’s healthcare is evolving rapidly, and while greater emphasis has been placed on comprehensive care, women still face more barriers to healthcare than men, according to the National Institutes of Health. Pharmacists are key players in helping break down those barriers, playing an increasingly important role in improving […]
Amazon plans more than 2,000 holiday hires in Tampa Bay
The online retailer’s nationwide hiring target includes roughly 21,000 employees from Florida, with more than 300,000 nationwide.
Abbott, Big 10 Conference, Rutgers Athletics, and RWJBarnabas Health Seek to Boost National Blood Supplies
Diego Orozco knows firsthand that every blood donation offers new hope for blood cancer patients like him. After battling leukemia and enduring three stem cell transplants, the 34-year-old North Plainfield resident has relied on countless blood transfusions to survive some of the most difficult moments of his cancer journey.
Live Nation Entertainment (NYSE:LYV) Given Sell Rating at Cfra
Cfra restated a "sell" rating on shares of Live Nation Entertainment in a research report on Tuesday.
Paxton campaign showing ‘desperation’ with manufactured story: Political commentator
In the final days until election, President Trump is set to hold another rally in Texas for Republican Senate candidate Ken Paxton. MS NOW National Reporter Rosa Flores shares what she is hearing from voters there. MediasTouch Journalist Adam Mockler, Democratic Strategist Basil Smikle, Bloomberg Businessweek Journalist Max Chafkin, and Rolling Stone Magazine Politics Reporter Nikki McCann Ramirez join the Group Chat with Stephanie Ruhle to share their analysis.
Perceptions of science and scientists shape partisan views on common vaccines
How Americans view science and scientists is strongly associated with whether they think vaccines are safe and effective - and helps explain partisan differences in perceptions of some vaccines, according to a new study led by a team from the Annenberg Public Policy Center (APPC) of the University of Pennsylvania.
Looking at 2026 season report card for Padres players
News to know about your San Diego Padres and MLB for October 20, 2026.
The National Landscape of Mental Health Treatment Courts
A national survey examines the growth of mental health treatment courts and the need for clearer standards, better data, and sustainable funding.
Health Foundation of South Florida Opens Nominations for 2027 Inspiring Women of Health Awards
/PRNewswire/ -- The Health Foundation of South Florida today announces that nominations are now open for the 2027 Inspiring Women of Health Awards, which...
WSU professor Felix Lankester elected to National Academy of Medicine
Lankester’s pioneering work on vaccine delivery and community-based vaccination programs has helped transform rabies prevention and save lives in low-income countries.
Are transgender sports bans really about protecting women? Survey data tells a different story
In a recent national survey, Americans with the most negative views of women were the biggest proponents of transgender sports bans.
Guardians News: So, A Long Offseason Begins
News and Notes for Tuesday, October 20th, 2026
Small Business Administration Opens Nominations for Small Business Week Awards
The U.S. Small Business Administration (SBA) and the South Carolina District Office opened nominations for its 2027 National Small Business Week Awards, which recognize exceptional small business owners from South Carolina. National...
Maxwell Economist John Cawley Elected to Prestigious National Academy of Medicine
Membership in the National Academy of Medicine is one of the highest and most esteemed honors in the fields of health, medicine and medical science.
Dodgers notes: Shohei Ohtani and what might’ve been
As the baseball world prepares itself for a low-cost World Series, Dodgers fans might still be looking backwards at what might’ve been. Sonja Chen on MLB.com focuses on how the team managed Shohei Ohtani’s injuries, and what perhaps they might’ve done differently. “I haven’t been able to really come to grip in terms of what […]
Michigan State Gets Stunning Quarterback News Ahead of UCLA Showdown
Michigan State will face a different UCLA offense Saturday after quarterback Nico Iamaleava suffered a severe knee injury. Here's what his absence means for the Spartans.
‘These risks are real’: the threat of AI bioweapons
In his annual speech on threats to the nation, Sir Ken McCallum, the head of the UK’s intelligence service, MI5, warned that AI had the potential to ‘change the stakes’ on existing and even new bioweapons. To find out why, and how, Ian Sample speaks to Dr Tom Inglesby, director of the Johns Hopkins Center for Health Security and the Bloomberg School of Public Health. He explains what has governments so worried and what measures could be put in place to reduce the risks
Astronomers uncover new secrets of the Universe’s first five minutes
Scientists have achieved a major breakthrough in understanding the Universe’s earliest moments, measuring the amount of helium formed in the first five minutes after the Big Bang with unprecedented precision. Using one of the world’s most powerful telescopes, an international team studied 15 remarkably pristine galaxies that act as cosmic time capsules, preserving clues from nearly 13.8 billion years ago.
How much is DeForest Buckner worth on the trade market?
DeForest Buckner is still one of the Colts’ best defensive players, but age and his contract complicate his trade value.
Bills defense not better, but certainly different, in 2026
Pinpointing how this Bills defense is defense through six games
Bickerstaff’s Pistons Open Against a Reshaped Boston Celtics
Detroit tips off the NBA season Tuesday against a Boston team that remade itself this summer. #Pistons
Travis Ford shares what it means to be a Wildcat
#5 was one of the best to ever play in Rupp Arena
NC State a touchdown favorite at Stanford
NC State is making its first trip to Stanford since the Cardinal joined the ACC, which is to say that we’re in for a very late night of who-knows-what. Should be fun. The Wolfpack is a seven-point favorite to win this one, and if there’s any sort of turnaround on the horizon for this group, […]
How should the Detroit Lions handle Cade Mays’ return?
A look at the options for how the Detroit Lions can handle the return of Cade Mays to center despite Juice Scruggs strong play.
SBA urges Iowans to nominate their favorite small business for an award
There are all kinds of small businesses in Iowa that we can’t do without, from diners and donut shops to tailors and auto mechanics, and it’s time to recognize those merchants that make our lives better. Ryan Lincoln, the Iowa district director of the U.S. Small Business Administration, says the agency is taking nominations for […]
Scientists discover learning and memory formation in model membranes
A decades-long collaboration between two Department of Energy Oak Ridge National Laboratory scientists is reshaping how we understand
Michigan State Spartans Football fan survey on Pat Fitzgerald
Gauging Pat Fitzgerald’s job security
Tennessee Titans news: Moving forward after win vs. Colts
The Tennessee Titans are 1-5 after their win against the Indianapolis Colts.
United CEO Scott Kirby calls for wealth tax and a near-100% inheritance tax
United Airlines CEO Scott Kirby says wealth inequality threatens society and calls for a national wealth tax and steep inheritance taxes.
A note to readers: Science, accountability and elections
Dear readers, As early voting begins, I wanted to share some news — and why it connects to the decisions we make at the ballot box. I’ve been selected for the inaugural cohort of the South Atlantic Climate Journalism Hub mentorship program, hosted by Covering Climate Now. I’m excited to join this group, learn from scientists and fellow journalists, and expand my science reporting. Science directly ties to governance. Local officials make decisions about where development goes, how infrastructure is maintained, what emergency preparations receive funding, and how communities rebuild after disasters. Understanding the evidence behind those decisions helps us evaluate whether our government is serving us well. Here in western North Carolina, those connections are all around us, in Lake Lure and beyond. Flood maps inform decisions about property and development. Engineering assessments help identify risks at dams and bridges. Rainfall forecasts guide emergency preparations. Geological information helps explain landslide hazards. Water testing gives communities information they need to assess conditions. Meteorologists’ knowledge and public perception of weather events shape public safety. Each involves scientific or technical knowledge. Each also raises questions about public responsibility: What did officials know? How did they use that information? What did they tell the public? What did taxpayers receive for their money? A study can identify a problem. Elected officials still have to decide what to do about it, how to pay for it, and how to explain their choices. Reporting should examine both the evidence and the response. That is where I want to strengthen my work. My reporting on Helene recovery, infrastructure, flooding, public safety, and public spending has repeatedly brought me to questions that require scientific expertise alongside public records. This mentorship may help me better understand the research, ask more precise questions, and explain the answers clearly. I also bring the perspective of someone living with these concerns. I live downstream of Lake Lure Dam, and landslides affected my property during Helene. Those experiences bring urgency to my questions. Careful reporting helps establish the answers. Readers deserve to know what the evidence shows, where uncertainty remains, and whether officials accurately describe the information guiding their decisions. You also deserve scrutiny of proposed solutions: what they cost, what they are expected to accomplish, and what risks remain. Access to that information matters. As a mostly deaf journalist who relies on written communication, I will continue pressing for written public warnings, records, and explanations that people can read and use in real time. As you consider the candidates seeking your vote, consider how they approach evidence, preparedness, and transparency. Do they support local journalism, even when it’s not parroting a press release? Do they explain weather events clearly in plain English and explain their decisions after them? Make supporting records available? Acknowledge uncertainty? Follow through when a report identifies a risk? Those are practical questions about governing. Thank you for supporting Cops & Congress and the work that makes these questions part of the public conversation. I’m grateful to David Dickson and the CC Now team for this opportunity, and I look forward to bringing what I learn back to you. Annie DanceEditor & Publisher, Cops & Congress — Learn more about this newsletter, ethics policy, how you can help shape this work, and support it. Follow on X and Facebook. Send constructive criticism, fan mail, and tips with public documents for future stories: CopsandCongress@gmail.com ICYMI: View the Cops & Congress archive — Annie Dance is the publisher of Cops & Congress, a newsletter that analyzes what happens when crime, courts, disaster, democracy, and small-town policies collide. Views expressed here are covered by the First Amendment. Dance has a Bachelor of Arts from Manhattan University in Communication with a focus in Journalism and Government. She has been a journalist for over 20 years. Share Upgrade now or give a gift subscription
Hammer and Rails Readers Reacts Survey: Purdue Men’s Basketball Newcomers
Which newcomer will make the biggest impact on Purdue basketball this season?
Miniso Land retail and entertainment concept coming to UK
Experience-led retail destination is coming to Oxford Street
As Science and Technology Advance, Nurses Become More Essential to Successful Organ Transplants
Symposium of articles examines how innovations in organ donation and transplantation reinforce the vital role for critical care nurses and advanced practice nurses throughout the continuum of care for donors, candidates awaiting transplantation, recipients and their respective families.
Lukashenka optimizes the National Academy of Sciences of Belarus
On October 19, Alyaksandr Lukashenka signed Decree No. 367 "On the Activities of the National Academy of Sciences of Belarus," which liquidates, reorganizes, and alters a number of...
YouTube Gold: Keeping Up With The Neighbors
Good and bad for both NC State and UNC
Why Calling Anti-Trans Hate a “Distraction” Is So Troubling
It’s a familiar line in the midterms: Anti-trans attacks are a “distraction” from “kitchen-table” issues. That sends a chilling message about whose rights are worth fighting for.
South Florida is pivoting from tourism to national biz hub
Carnegie Mellon, Vanderbilt join companies opening campuses and offices in South Florida as it pivots from tourism to being a national business hub
Vivek Ramaswamy gets a political education in a grueling Ohio governor’s race
Vivek is attempting a rare route in politics, going from national notoriety as a presidential candidate to running for state office, eschewing his hard-charging and provocative tone during his presidential campaign. He’s making his pivot during an election cycle where headwinds are blowing against all kinds of Republicans. It hasn’t been easy.
So What Is Socialism, Anyway?
In a world dominated by neoliberal market fundamentalism, “socialism” is what will make a more moderate, regulated form of capitalism work for most people.
Yankees news: Teruaki Sato will officially be posted
Sato will officially be posted this offseason; Boone returns as skipper for 2027; Wells identifies foul tips as potential cause of headaches.
New health science center to be featured at Altrusa Oak Ridge meeting
Altrusa International will host a program on the new 130,000 square foot Roane State health science center.
New health science center to be featured at Altrusa Oak Ridge meeting
Altrusa International will host a program on the new 130,000 square foot Roane State health science center.
DC council member wants temporary shutdown of business where National Guard was shot
A D.C. Council member has called for the temporary shutdown of a business where police said a National Guard member was shot late Sunday.
9,450 Shares of Live Nation Entertainment, Inc. $LYV Bought by Cordatus Wealth Management LLC
Cordatus Wealth Management LLC acquired a new stake in shares of Live Nation Entertainment, Inc. (NYSE:LYV - Free Report) during the 3rd quarter, according to the company in its most recent 13F filing with the Securities & Exchange Commission. The institutional investor acquired 9,450 shares of
Whither Vladimir? (Part 1)
It’s no secret that a big part of the Blue Jays’ disappointing 2026 was the result of a disastrous season by superstar first baseman Vladimir Guerrero jr. Vlad’s offensive production cratered, from an average wRC+ of 139 from 2023-2025 to 95 this past season. If the team’s going to get back into contention in 2027 […]
Franciscan Health Dyer adds OrderAhead food locker in partnership with Food Bank of NWI
Technology enhances partnership aimed at fighting Region food insecurity DYER, Ind. – Franciscan Health Dyer now has an OrderAhead food locker thanks to a partnership with the Food Bank of Northwest Indiana and generous donations to the Franciscan Health Foundation. The OrderAhead food locker program was designed by the Food Bank of Northwest Indiana for neighbors with chronic concerns about adequate food access. The lockers allow food-insecure individuals to place an order online for pickup at a scheduled time. “We are thankful to be able to further enhance our impactful partnership with the Food Bank with the addition of the
Challenging creation of a ‘vaccine injury clinic,’ NIH research scientists rebuke Kennedy for politicizing and undermining science
The board that oversees the National Institutes of Health’s research hospital has publicly rebuked Health Secretary Robert F. Kennedy Jr., voting
Science key to tackling worldwide challenges
Science and technology are immensely important for addressing shared global challenges and achieving the United Nations Sustainable Development Goals, especially in a world where geopolitical tensions are rising, said experts at a global forum in Beijing on Monday.
Inglewood small business builds knitting community, garners national attention
Inglewood business brings knitters together, garners national attention
Nearly 1.6M pounds of hot dogs, bacon and other meats recalled nationwide
Kayem Foods recalled nearly 1.6 million pounds of meat items such as hot dogs, bacon, brisket and ham after a warehouse cooler experienced temperature deviations.
Broncos vs. Cardinals odds: Opening lines for Week 7 matchup
The Denver Broncos are road favorites over the Arizona Cardinals in Week 7. No overdogs this week!
Advanced materials firm founded by LANL veteran moves into Nambé facility
Discovery 2 Scale is working with AI to develop new materials for national security applications and using robotics to test and manufacture them.
Former Las Vegas Councilwoman denies misusing donations during judicial discipline hearing
Michele Fiore testified that she believed a developer paid for a memorial statue honoring slain Metro officer Alyn Beck as she denied misusing donations during a Nevada judicial discipline hearing.
REMSA Health recruits Australian paramedics to address Reno-area shortage
REMSA health partners with International Medic Solutions as nearly 60% of U.S. EMS agencies report staffing shortages