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Billionaires turned life insurers into cash machines. Now comes the reckoning.
A lucrative Wall Street strategy has funneled billions from life insurers into their owners' other ventures. Now tougher rules and questions about investment risks are putting the model to the test.
Amodei says Anthropic must stay in 'race to the top' to keep AI safe
Amodei said Anthropic would be best placed to make AI safe by staying at the top of the game.
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.
'We lost the battle': Local businesses prepare as DEI crackdown hits OEV
New Florida law forces Tallahassee to replace its minority business aid program with a neutral alternative. Some business owners worry about the future.
Jalen Hurts' Blood Clot Diagnosis: Revisiting Deion Sanders' Health Journey
With Jalen Hurts sidelined by pulmonary blood clots, Deion Sanders’ grueling history of surgeries and hospitalizations offers a sobering roadmap for the Eagles quarterback’s high-stakes recovery process.
Donaldson’s Finer Chocolates celebrates 60 years
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FULL SHOW: Inside INdiana Business 10/18/26
.video-js, .video-js .vjs-tech { position: relative; width: 100%; height: auto; z-index: 0; } var player = videojs('player_block_749367d61c9c0e618948e21b0aa00de3'); player.nuevo({ contextMenu: false }); var vast = { started: false, paused: false, resumed: false, ended: false, }; var video = { started: false, paused: false, resumed: false, ended: false, } var event_label = 'Video: 209916 - Article: FULL SHOW: Inside INdiana Business 10/18/26'; var post_id = 209917; var post_url = "https://www.insideindianabusiness.com/videos/full-show-inside-indiana-business-10-18-26"; player.vastAds({ tagURL: "https://servedbyadbutler.com/vast.spark?setID=13487&ID=177008&pid=117129", id: "PreRoll" }); player.on('vast.adStart', function() { vast.started = true; }); player.on('vast.adError', function() { vast = { started: true, ended: true }; }); player.on('play', function() { if (vast.ended && !video.paused) { video.started = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Played", eventLabel: event_label }); var audio_insight_data = { event_type: "video_played", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } if (video.started && video.paused) { video.resumed = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Resumed", eventLabel: event_label }); var audio_insight_data = { event_type: "video_resumed", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('pause', function() { if (vast.ended) { video.paused = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Paused", eventLabel: event_label }); var audio_insight_data = { event_type: "video_paused", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('ended', function() { //vast.adEnd fires after ended, pointless to use. vast.ended = true; if (video.started && !video.ended) { video.ended = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Ended", eventLabel: event_label }); } var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: 100, }, ...insight_data, }; insight.track(audio_insight_data); }); player.on('fullscreenchange', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Fullscreen Toggled", eventLabel: event_label }); }); player.on('enterpictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Opened", eventLabel: event_label }); }); player.on('leavepictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Closed", eventLabel: event_label }); }); let lastReportedPercentage = 0; player.on('timeupdate', function() { const currentTime = player.currentTime(); const duration = player.duration(); if (duration) { const progressPercentage = Math.floor((currentTime / duration) * 100); if (progressPercentage % 5 === 0 && progressPercentage !== lastReportedPercentage) { lastReportedPercentage = progressPercentage; var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: progressPercentage, }, ...insight_data, }; insight.track(audio_insight_data); } } });
2026 Nobel Prize in Medicine Honors Breakthrough That Lets Scientists Control the Brain With Light
An algal protein helped scientists reactivate a fear memory in mice, turning light into a tool for testing what specific brain cells do. Scientists who worked out how to control brain cells with light have won this year’s Nobel Prize in Physiology or Medicine. Karl Deisseroth, Peter Hegemann, and Georg Nagel were honored for their
Parkview Health to acquire Tennessee-based Ovation Healthcare
Indiana-based health care system Parkview Health announced Friday it has signed an agreement to acquire Tennessee-based Ovation Healthcare, a shared services company that works with more than 500 health care organizations across 48 states.
Elanco CEO: One Health district will create statewide impact
The CEO of Indianapolis-based Elanco Animal Health Inc. said the growing One Health Innovation District in downtown Indy is representative of a movement throughout the state.
BiomEdit receives conditional licensure for first commercial product
.video-js, .video-js .vjs-tech { position: relative; width: 100%; height: auto; z-index: 0; } var player = videojs('player_block_06a93b38e4501badd2c5e511f28c10a6'); player.nuevo({ contextMenu: false }); var vast = { started: false, paused: false, resumed: false, ended: false, }; var video = { started: false, paused: false, resumed: false, ended: false, } var event_label = 'Video: 209497 - Article: BiomEdit receives conditional licensure for first commercial product'; var post_id = 209495; var post_url = "https://www.insideindianabusiness.com/videos/biomedit-receives-conditional-licensure-for-first-commercial-product"; player.vastAds({ tagURL: "https://servedbyadbutler.com/vast.spark?setID=13487&ID=177008&pid=117129", id: "PreRoll" }); player.on('vast.adStart', function() { vast.started = true; }); player.on('vast.adError', function() { vast = { started: true, ended: true }; }); player.on('play', function() { if (vast.ended && !video.paused) { video.started = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Played", eventLabel: event_label }); var audio_insight_data = { event_type: "video_played", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } if (video.started && video.paused) { video.resumed = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Resumed", eventLabel: event_label }); var audio_insight_data = { event_type: "video_resumed", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('pause', function() { if (vast.ended) { video.paused = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Paused", eventLabel: event_label }); var audio_insight_data = { event_type: "video_paused", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('ended', function() { //vast.adEnd fires after ended, pointless to use. vast.ended = true; if (video.started && !video.ended) { video.ended = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Ended", eventLabel: event_label }); } var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: 100, }, ...insight_data, }; insight.track(audio_insight_data); }); player.on('fullscreenchange', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Fullscreen Toggled", eventLabel: event_label }); }); player.on('enterpictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Opened", eventLabel: event_label }); }); player.on('leavepictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Closed", eventLabel: event_label }); }); let lastReportedPercentage = 0; player.on('timeupdate', function() { const currentTime = player.currentTime(); const duration = player.duration(); if (duration) { const progressPercentage = Math.floor((currentTime / duration) * 100); if (progressPercentage % 5 === 0 && progressPercentage !== lastReportedPercentage) { lastReportedPercentage = progressPercentage; var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: progressPercentage, }, ...insight_data, }; insight.track(audio_insight_data); } } });
World Food Championship returns this week
.video-js, .video-js .vjs-tech { position: relative; width: 100%; height: auto; z-index: 0; } var player = videojs('player_block_03beb15a8cb1a37bffb33585888f5156'); player.nuevo({ contextMenu: false }); var vast = { started: false, paused: false, resumed: false, ended: false, }; var video = { started: false, paused: false, resumed: false, ended: false, } var event_label = 'Video: 209562 - Article: World Food Championship returns this week'; var post_id = 209493; var post_url = "https://www.insideindianabusiness.com/videos/world-food-championship-returns-this-week"; player.vastAds({ tagURL: "https://servedbyadbutler.com/vast.spark?setID=13487&ID=177008&pid=117129", id: "PreRoll" }); player.on('vast.adStart', function() { vast.started = true; }); player.on('vast.adError', function() { vast = { started: true, ended: true }; }); player.on('play', function() { if (vast.ended && !video.paused) { video.started = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Played", eventLabel: event_label }); var audio_insight_data = { event_type: "video_played", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } if (video.started && video.paused) { video.resumed = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Resumed", eventLabel: event_label }); var audio_insight_data = { event_type: "video_resumed", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('pause', function() { if (vast.ended) { video.paused = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Paused", eventLabel: event_label }); var audio_insight_data = { event_type: "video_paused", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('ended', function() { //vast.adEnd fires after ended, pointless to use. vast.ended = true; if (video.started && !video.ended) { video.ended = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Ended", eventLabel: event_label }); } var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: 100, }, ...insight_data, }; insight.track(audio_insight_data); }); player.on('fullscreenchange', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Fullscreen Toggled", eventLabel: event_label }); }); player.on('enterpictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Opened", eventLabel: event_label }); }); player.on('leavepictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Closed", eventLabel: event_label }); }); let lastReportedPercentage = 0; player.on('timeupdate', function() { const currentTime = player.currentTime(); const duration = player.duration(); if (duration) { const progressPercentage = Math.floor((currentTime / duration) * 100); if (progressPercentage % 5 === 0 && progressPercentage !== lastReportedPercentage) { lastReportedPercentage = progressPercentage; var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: progressPercentage, }, ...insight_data, }; insight.track(audio_insight_data); } } });
Mammoth Solar projects begin commercial operation in northwest Indiana
.video-js, .video-js .vjs-tech { position: relative; width: 100%; height: auto; z-index: 0; } var player = videojs('player_block_a68dcf07ebc2e2352c385208d1b99a12'); player.nuevo({ contextMenu: false }); var vast = { started: false, paused: false, resumed: false, ended: false, }; var video = { started: false, paused: false, resumed: false, ended: false, } var event_label = 'Video: 209524 - Article: Mammoth Solar projects begin commercial operation in northwest Indiana'; var post_id = 209568; var post_url = "https://www.insideindianabusiness.com/videos/mammoth-solar-projects-begin-commercial-operation-in-northwest-indiana"; player.vastAds({ tagURL: "https://servedbyadbutler.com/vast.spark?setID=13487&ID=177008&pid=117129", id: "PreRoll" }); player.on('vast.adStart', function() { vast.started = true; }); player.on('vast.adError', function() { vast = { started: true, ended: true }; }); player.on('play', function() { if (vast.ended && !video.paused) { video.started = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Played", eventLabel: event_label }); var audio_insight_data = { event_type: "video_played", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } if (video.started && video.paused) { video.resumed = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Resumed", eventLabel: event_label }); var audio_insight_data = { event_type: "video_resumed", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('pause', function() { if (vast.ended) { video.paused = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Paused", eventLabel: event_label }); var audio_insight_data = { event_type: "video_paused", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('ended', function() { //vast.adEnd fires after ended, pointless to use. vast.ended = true; if (video.started && !video.ended) { video.ended = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Ended", eventLabel: event_label }); } var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: 100, }, ...insight_data, }; insight.track(audio_insight_data); }); player.on('fullscreenchange', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Fullscreen Toggled", eventLabel: event_label }); }); player.on('enterpictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Opened", eventLabel: event_label }); }); player.on('leavepictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Closed", eventLabel: event_label }); }); let lastReportedPercentage = 0; player.on('timeupdate', function() { const currentTime = player.currentTime(); const duration = player.duration(); if (duration) { const progressPercentage = Math.floor((currentTime / duration) * 100); if (progressPercentage % 5 === 0 && progressPercentage !== lastReportedPercentage) { lastReportedPercentage = progressPercentage; var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: progressPercentage, }, ...insight_data, }; insight.track(audio_insight_data); } } });
Elanco, Purdue planning research institute at One Health Innovation District
.video-js, .video-js .vjs-tech { position: relative; width: 100%; height: auto; z-index: 0; } var player = videojs('player_block_94a61c85e04a6a869b6c2261615f1b19'); player.nuevo({ contextMenu: false }); var vast = { started: false, paused: false, resumed: false, ended: false, }; var video = { started: false, paused: false, resumed: false, ended: false, } var event_label = 'Video: 209555 - Article: Elanco, Purdue planning research institute at One Health Innovation District'; var post_id = 209492; var post_url = "https://www.insideindianabusiness.com/videos/elanco-purdue-planning-research-institute-at-one-health-innovation-district-2"; player.vastAds({ tagURL: "https://servedbyadbutler.com/vast.spark?setID=13487&ID=177008&pid=117129", id: "PreRoll" }); player.on('vast.adStart', function() { vast.started = true; }); player.on('vast.adError', function() { vast = { started: true, ended: true }; }); player.on('play', function() { if (vast.ended && !video.paused) { video.started = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Played", eventLabel: event_label }); var audio_insight_data = { event_type: "video_played", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } if (video.started && video.paused) { video.resumed = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Resumed", eventLabel: event_label }); var audio_insight_data = { event_type: "video_resumed", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('pause', function() { if (vast.ended) { video.paused = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Paused", eventLabel: event_label }); var audio_insight_data = { event_type: "video_paused", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('ended', function() { //vast.adEnd fires after ended, pointless to use. vast.ended = true; if (video.started && !video.ended) { video.ended = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Ended", eventLabel: event_label }); } var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: 100, }, ...insight_data, }; insight.track(audio_insight_data); }); player.on('fullscreenchange', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Fullscreen Toggled", eventLabel: event_label }); }); player.on('enterpictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Opened", eventLabel: event_label }); }); player.on('leavepictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Closed", eventLabel: event_label }); }); let lastReportedPercentage = 0; player.on('timeupdate', function() { const currentTime = player.currentTime(); const duration = player.duration(); if (duration) { const progressPercentage = Math.floor((currentTime / duration) * 100); if (progressPercentage % 5 === 0 && progressPercentage !== lastReportedPercentage) { lastReportedPercentage = progressPercentage; var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: progressPercentage, }, ...insight_data, }; insight.track(audio_insight_data); } } }); .video-js, .video-js .vjs-tech { position: relative; width: 100%; height: auto; z-index: 0; } var player = videojs('player_block_3e0dd12dd9e4b24938fb711c6167c088'); player.nuevo({ contextMenu: false }); var vast = { started: false, paused: false, resumed: false, ended: false, }; var video = { started: false, paused: false, resumed: false, ended: false, } var event_label = 'Video: 0 - Article: Elanco, Purdue planning research institute at One Health Innovation District'; var post_id = 209492; var post_url = "https://www.insideindianabusiness.com/videos/elanco-purdue-planning-research-institute-at-one-health-innovation-district-2"; player.vastAds({ tagURL: "https://servedbyadbutler.com/vast.spark?setID=13487&ID=177008&pid=117129", id: "PreRoll" }); player.on('vast.adStart', function() { vast.started = true; }); player.on('vast.adError', function() { vast = { started: true, ended: true }; }); player.on('play', function() { if (vast.ended && !video.paused) { video.started = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Played", eventLabel: event_label }); var audio_insight_data = { event_type: "video_played", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } if (video.started && video.paused) { video.resumed = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Resumed", eventLabel: event_label }); var audio_insight_data = { event_type: "video_resumed", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('pause', function() { if (vast.ended) { video.paused = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Paused", eventLabel: event_label }); var audio_insight_data = { event_type: "video_paused", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('ended', function() { //vast.adEnd fires after ended, pointless to use. vast.ended = true; if (video.started && !video.ended) { video.ended = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Ended", eventLabel: event_label }); } var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: 100, }, ...insight_data, }; insight.track(audio_insight_data); }); player.on('fullscreenchange', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Fullscreen Toggled", eventLabel: event_label }); }); player.on('enterpictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Opened", eventLabel: event_label }); 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FULL SHOW: Inside INdiana Business 10/11/26
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Support for businesses taking public stances on issues drops: Gallup
Americans’ support for businesses taking public stances has dipped, according to a new poll, as many companies have curried favor with President Trump during his second term. Forty-seven perc…
Laura: Our great national museums have turned into political instruments
Fox News host Laura Ingraham discusses Smithsonian Secretary Lonnie Bunch stepping down and criticizes the institution’s past DEI initiatives on ‘The Ingraham Angle.’
Trump's Science Medals Go to Musk and Huang: Where Are Altman and Amodei?
Trump will award Musk and 5 tech CEOs top US science medals. OpenAI's Altman and Anthropic's Amodei are missing.
Answering the God-of-the-Gaps Objection
Critics of intelligent design or science-based theistic arguments often cite Isaac Newton as the prime example of a scientist who made this blunder.
3 names emerging as possible replacements for Deion Sanders
Deion Sanders’ future at Colorado is facing renewed scrutiny after the Buffaloes fell to 2-3. If the school eventually makes a coaching change, Dan Mullen, Willie Fritz and Jason Eck could emerge as possible candidates, offering different combinations of Power Four experience, program-building success and recent momentum.
Deion Sanders created Prime Time so he could get paid. Why deny college athletes the same chance?
The Hall of Famer says his successful college career helped him and his family thrive. Now he appears to be backing legislation that would help others
‘Feeling Is Part of Memory’: In Conversation With Nobel Laureate Karl Deisseroth
The newly named Nobel laureate reflects on using light to probe the brain, the relationship between science and art, and the deep questions that have guided his work.
California scientist wins a Nobel Prize, then makes school lunches for his kids
STANFORD, California (AP) — Dr. Karl Deisseroth spent hours fielding congratulatory calls after learning early Monday that he had won a Nobel Prize for medicine for helping to open a new field of brain science called optogenetics.
California scientist wins a Nobel Prize, then makes school lunches for his kids
Dr. Karl Deisseroth spent hours fielding congratulatory calls after learning that he had won a Nobel Prize for medicine for helping to open a new field of brain science called optogenetics.
Stanford Professor One Of Three Scientists Awarded The Nobel Prize In Medicine
Stanford professor Karl Deisseroth joins Peter Hegemann and Georg Nagel as winners of the 2026 Nobel Prize in Physiology or Medicine for their work on optogenetics.
Nobel Prize in medicine jointly awarded to Karl Deisseroth, Peter Hegemann and Georg Nagel
The Nobel Prize in medicine was awarded Monday to Karl Deisseroth, Peter Hegemann and Georg Nagel for their research into light-gated ion channels and optogenetics. The prize money this year is 12 million…
American Deisseroth and Germans Hegemann and Nagel win 2026 Nobel medicine prize
Scientists Karl Deisseroth, Peter Hegemann and Georg Nagel won the 2026 Nobel Prize in Physiology or Medicine for "discoveries concerning light-gated ion channels and optogenetics," the award-giving body said on Monday.
Nobel Prize in medicine awarded to three scientists for their work ‘concerning light-gated ion channels and optogenetics’
The 2026 Nobel Prize for physiology or medicine has been awarded to three scientists – Karl Deisseroth, Peter Hegemann and Georg Nagel – for “their discoveries concerning light-gated ion channels and optogenetics.”
Scientists win Nobel Prize in medicine for work on ‘light-gated ion channels and optogenetics’
Scientists to Karl Deisseroth, Peter Hegemann and Georg Nagel won the 2026 Nobel Prize in Physiology or Medicine.
2026 Nobel Prize in Physiology or Medicine awarded to Karl Deisseroth, Georg Nagel and Peter Hegemann for work on optogenetics
Karl Deisseroth, Georg Nagel and Peter Hegemann developed optogenetics, which uses light and genetics to control individual cells
Colorado football's quarterback carousel keeps going round and round
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Mater Dei shuts out Bosse
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Everything Paramount will own as Skydance
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How Washington Funded the Politicization of Science
Over the last half-decade, the National Science Foundation (NSF) has spent hundreds of millions of dollars on projects designed to influence academic policies, both in the sciences and other disciplines. The aim was to foster a progressive conception of social justice in these fields. In pursuit of this end, the foundation earmarked nearly a million dollars for a project titled “Creating Inclusive Scientific Societies through Policies and Practices,” over a million for a project on “Faculty Online Learning Communities for Gender Equity,” and over $2 million to foster “racial equity focused departmental change.” Through a public records request, I’ve obtained the proposals and progress reports for dozens of NSF grants designed to promote social justice. Although funding for these grants was eventually halted by the Trump administration, the projects illustrate an important facet of recent higher-education policy. Many of the university policies that promised “social transformation” didn’t arise in a vacuum. They were actively encouraged by outside funders—often by the federal government itself. Subscribe Accreditation—the peer-review process which enables universities to receive federal grants and student loans—has recently become a policy battleground, with accreditors wielding significant power over both universities and academic disciplines. In 2020, when Oregon Health and Science University’s medical school issued an extensive diversity action plan—which promised “consequences” for employees who failed to support “DEI, anti-racism and social justice”—it specifically pointed to the Liaison Committee on Medical Education (LCME), the medical-school accrediting body, to justify the overhaul. The NSF actively promoted DEI-focused accreditation policies. The proposal for a $1.2 million program on promoting “community engagement” in STEM, which I obtained through a records request, notes that the Accreditation Board for Engineering and Technology was exploring changes to its criteria “that would incorporate JEDI [justice, equity, diversity, and inclusion].” The proposal promised to “support broader JEDI efforts in the general criteria for engineering.” Another grant funded a conference designed to “identify and share best practices and strategies to integrate IDEA principles in accreditation criteria”—referring to an acronym that stands for “inclusion, diversity, equity, and accessibility.” Scholarly societies have become another flashpoint in debates over higher education. Critics argue that many of these societies, which have the power to shape entire disciplines, have become increasingly politicized. Again, through its giving, the NSF played a role in promoting this politicization. In one million-dollar grant that received funding in 2024, a group of psychologists proposed a series of social-justice reforms to the Society for the Psychological Study of Social Issues. The proposal, which I obtained via a records request, asserts that “[r]edistributing resources (such as moving different people into leadership roles) is not enough” and that the society’s “governance structures do not yet reflect its stated values of diversity, equity, and inclusion.” Its solution: review and rework the society’s criteria for leadership development, academic awards, conferences, and publications. Adjusting review criteria informed by “intersectionality” designed to fight “epistemic exclusion” is an easy way to introduce de facto ideological litmus tests into the peer-review process. For many of the grants I obtained, such litmus tests seem to be the point. “Academic departments are racialized social systems that produce and sustain the byproducts of systemic racism,” a proposal for a $2.7 million project funded in 2024 asserts, promising to develop “departmentally-focused change efforts that cultivate values, assumptions, and behaviors that advance racial equity.” The University of Illinois Urbana Champaign’s million-dollar “I-ADVANCE” project, which effectively created a small DEI bureaucracy on campus, promised to Embed 28 ADVANCE faculty fellows in STEM departments” to amplify its equity goals. Another $1.2 million project promised to create “faculty online learning communities,” made up of scientists at universities around the country, that would eventually build department-level diversity action plans. “Ultimately,” the proposal asserts, perhaps more perceptively than its authors realized, “both organizational change and intersectionality frameworks deal with power.” Indeed, such grants confer a great deal of power to administrators and scholar-activists, who can even use the mere availability of funding as a tool to advance their causes. That history is worth remembering amid today’s debate over federal involvement in higher education: Washington has been shaping university priorities for years, including by financing efforts to instill progressive ideas about race, gender, and equity into academic institutions—and many of the policies those grants encouraged remain embedded within universities long after the federal money has stopped flowing. John D. Sailer is the director of higher education policy and a senior fellow at Manhattan Institute. Share
When “DEI” research is cut, what happens to community health?
“I’m just going to run to the grocery store!” How many times have we said this without thinking about it? For most of us, it's usually an easy walk or a short drive to get the cheese we forgot. In reality, though, 13% of the U.S. population (about 39 million people) live in “food deserts,” which means living more than a mile from a grocery store in urban areas and more than 10 miles in rural areas. This was the case for people in Pittsburgh’s Hill District, where a quick run to buy food wasn’t an option. In the 1930s, federal maps marked the Hill as "hazardous" for lending, a practice known as redlining that steered investment away from Black neighborhoods. Decades of disinvestment followed, and residents went about 30 years without a nearby grocery store. This made it hard to keep healthy eating habits and contributed to chronic disease. When a grocery store finally opened in the area in 2013, researchers saw the opportunity and launched the PHRESH study, which initially compared the health of participants from the Hill district to those in the Homewood district. Over time, the study expanded to other factors such as brain health and Alzheimer's risk. Residents like Roderick Blair overcame initial hesitation to share their health data, trusting it would benefit their neighborhood. Then, in August 2026, the NIH abruptly canceled the study’s grant, citing that it was “subjective” and fell outside their scientific scope—an effect of the administration’s interpretation of diversity, equity and inclusion (DEI). Research like PHRESH can help determine what changes in a neighborhood actually improve health, so cutting it has left that question unanswered. Other canceled studies have examined health issues like maternal health, preterm birth rates, or sickle cell disease. Courts have reversed some of these grant cancellations, but not all of them. If we really want America to be healthier, research into why some communities get sicker than others is absolutely critical. The law that created the federal minority health research institute passed with bipartisan support in 2000. But these days, as evidenced by grant cancellations, the political shift in attitudes toward DEI means we often lose access to the health information we need to help all communities thrive. DEI vs. health equity vs. equality and the overlap (or lack thereof) The letters “DEI” evoke very different reactions depending on who you are in the U.S. DEI programs can address gender, disability, age, and other factors, but the fiercest debate centers on race. For some people, hearing DEI brings to mind policies that may have cost them a job or a college seat because they are white. Others see DEI as a matter of justice: a way to expand representation and opportunity for groups that have been historically marginalized. Both perspectives are rooted in lived experience, and both center on the same question: whether hiring and admissions practices are fair. Hiring and admission practices, though related, are not the same as health equity. Health equity is “the attainment of the highest level of health for all people.” It’s the recognition that some groups of people consistently experience worse health outcomes than others. For instance, black mothers die from pregnancy-related complications at three times the rate of white mothers, and rural Americans are more likely to die from issues such as heart disease and cancer. Equity is also often conflated with “equality,” which leads to misunderstanding of how to actually best support communities. Equality ignores the fact that we aren’t all starting life with the same resources or circumstances, whereas equity is about helping people get what they specifically need based on their situation so they have the chance to achieve the same outcome as anyone else. For example, if every household in Pittsburgh got a $30 grocery gift card, that would be equal. But during the decades the Hill District went without a grocery store, that card wouldn’t have helped much. Equity means making sure everyone can actually access a store in the first place. DEI policies can overlap with health equity in many ways. For example, they may help expand access to quality education and stable, well-paying jobs, which in turn can provide health insurance, safer housing, and improved finances—all of which can reduce health disparities. But to make that happen, we first need data to identify disparities in communities and to develop solutions that effectively address them. What we lose when the research stops Community data is important to health equity because: You can’t fix what you don’t see: Data show which communities are most affected by health factors such as infection, heart disease, and cancer. If we don’t know what is happening and where, then we can’t develop interventions to help. Poor health costs everyone: Chronic disease is expensive—both to the individual person and to the overall economy. Understanding what groups of people are most at risk allows us to develop interventions that can save everyone money. Disparities exist for many communities: Health equity includes disparities that exist due to a whole host of factors, such as family background, race and ethnicity, rural vs. suburban residence, gender and sexual orientation, veteran status, disability, and lower income. This means many Americans can benefit from research into differences in health outcomes and how to improve them. Trust is easy to lose: Some participants in the PHRESH study were initially vocal about their concerns about participating. But that trust was earned because the researchers kept their promises and centered their work on the community. When projects are canceled mid-cycle, researchers have no choice but to leave behind communities they had promised to help. This hurts trust in the long run. It’s also a very inefficient use of resources, and it will take significant time and effort to redo the work when the government realizes this work is important again. How should we talk about health equity? This is hard because the words “equity” and “DEI” are currently very politically charged. So whether you’re a public health professional, teacher, or friend, how we talk about this topic matters. The right framing can help people who might otherwise be skeptical see why health equity research is important and deserves funding. Here are some suggestions to help your conversations: Choose your words strategically: Who are you trying to reach with your message? Are they likely to be resistant to terms like “diversity” and “equity”? If so, find alternative words to use to still get the message across. It is frustrating to be in that position, but the goal of improving health is too important not to try to make inroads. Sometimes simply reframing can help the message reach those who need to hear it. Focus on the problem: The terms “health equity” and “DEI” are abstract. Make it more specific. For example, discuss differences in maternal death or ways to improve health outcomes in rural communities. These still have equity at their core but will likely be better understood by those you’re talking with. Focus on systems: Disparities exist, but if they are communicated poorly, people can mistakenly think the issue is the individual’s fault. Disparities are largely driven by failures of the system—such as lack of access to health care and a long legacy of racism. When discussing the disparities, frame them around these systemic issues to ensure blame isn’t placed on the individuals impacted. Tell stories: Personalize these policies by using stories from those impacted that connect to the data you’re trying to convey. This helps make the policies and outcomes more concrete and meaningful. Bottom line Some communities end up sicker than others. That’s just the facts. We can argue about the best way to do that research, but canceling it simply because it may be linked to DEI doesn’t make anyone healthier. It just leaves communities like the Hill district behind. And in the end, it causes us all to move backward in our efforts to improve health in this country. Love, EM Big thanks to MacKenzie Isaac & Legairre Radden, who reviewed this piece and generously shared their expertise and lived experience to help improve it. Dr. Liz Marnik, PhD, is Executive Director of The Evidence Collective and a science communicator and immunologist working at the intersection of public trust, science, and public health. To discuss communication training on topics like health equity and storytelling, email Liz at liz@yle.health or learn more on our website. Your Local Epidemiologist (YLE) comprises a team of experts, ranging from physicians to immunologists to epidemiologists to nutritionists, working together with one goal: to “translate” ever-evolving public health science so that people are well-equipped to make evidence-based decisions. The YLE suite of newsletters reaches over 475,000 people across more than 132 countries. This newsletter is free to everyone, thanks to the generous support of fellow YLE community members. To support the effort, subscribe or upgrade below: Your Local Epidemiologist is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
‘He Could Be a Cheaper Option’ — Sports Media Expert Theorizes ESPN May Be Planning to Replace Troy Aikman With 3-Time Pro Bowler
The longest-standing broadcast partnership in NFL history may be approaching a crossroads, and one media analyst has floated three-time Pro Bowler Greg Olsen as a possible option for ESPN if Troy Aikman departs. When Troy Aikman, the on-air partner of Joe Buck since 2002, revealed on the “Sports Media with Richard Deitsch” podcast that he has not signed a contract extension with ESPN, rumors swirled.
Trendiana: New businesses in historic buildings
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What’s In Anthropic’s I.P.O. Filing
The artificial intelligence giant reportedly believes that it’s on track for a record-breaking stock market listing, according to a prospectus seen by Reuters.
Philly DEI panel endorses Parker’s contracting overhaul as Black business owners warn of consequences
Parker said new national legal precedent made the city’s practices vulnerable to court challenges. Council’s committee agreed.
Trump dines with Anthropic CEO ahead of event with tech leaders
Trump’s meetings with top tech leaders come as bipartisan concern grows over what might happen if the government does not create guardrails
Potsdam man allegedly stole $2,100 worth of deisel from business
A St. Lawrence County man is accused of stealing more than $2,000 worth of diesel fuel from a Potsdam trucking company.
Trump dined with the Anthropic CEO who called for AI slowdown
The president’s first one-on-one meeting with Dario Amodei followed months of tensions.
Dario Amodei of Anthropic to Dine With Trump at White House
Dario Amodei, who is also the company’s chief executive, will join the president at the White House for a private dinner. Mr. Trump has dismissed his cautions.
Dario Amodei to have dinner with President Trump in rare meeting
The meeting comes as Amodei's calls for government regulation of AI companies have fallen flat.
Jalen Brunson hosts 'SNL' Season 52 premiere as Weekend Update spoofs Anthropic's Dario Amodei
Knicks star Jalen Brunson hosted the "SNL" Season 52 premiere with help from his teammates, Katseye made its debut and Jane Wickline spoofed Anthropic CEO Dario Amodei.
SNL skit mocks Dario Amodei's AI doomsday predictions
In a sketch, "Saturday Night Live" portrayed Dario Amodei as a bumbling megalomaniac struggling to explain why his own technology won't end the world.
The Shade Room (@theshaderoom)
3,982 likes, 285 comments - theshaderoom on September 26, 2026: "Deiondra Sanders is servin' baddie who means business in her @FashionNova ✨ #FashionNovaPartner".
Ireland XI vs Israel – Predicted lineup and team news
Ireland will be aiming to recover from their opening UEFA Nations League loss to Kosovo when they take on Israel at the Nagyerdei Stadion on Sunday.The Republic of Ireland comes into this game hoping ...
Israel vs Ireland – Match preview and team news
Ireland will look to bounce back from their opening UEFA Nations League defeat against Kosovo when they face Israel at the Nagyerdei Stadion on Sunday.Israel vs Ireland – Match preview and team new...
Deion Sanders benches Julian Lewis, revives Colorado’s biggest problem
Deion Sanders benched Julian Lewis at Baylor, extending Colorado's post-Shedeur quarterback uncertainty as Isaac Wilson got his chance.
Heads of OpenAI and Anthropic called to face Senate inquiry after rogue agent incidents
Sam Altman and Dario Amodei have been invited to appear before the Greens-led inquiry into AI and datacentres
Deion Sanders addresses Colorado player behavior following first loss
Ringo Chiu/Shutterstock.com Deion Sanders addresses Colorado player behavior Deion Sanders addressed Colorado players after the Buffaloes lost 41–7 at Northwestern on September 19, 2026. The defeat ended Colorado’s 2–0 start and dropped the team to 2–1 ahead of Big 12 play. Sanders said he confronted players he saw laughing after the 34-point loss. His criticism…
Rhode Island rural health projects take shape with $156M federal award
With $156 million in federal funding, Rhode Island is developing plans to transform healthcare in its rural communities.
Watch schedule highlights of Cincinnati's Week 6 high school football
Cincinnati Week 6 high school football games include St. Xavier at Elder, Moeller at La Salle, East Central at Harrison and Deer Park vs. Madeira.
Fastly Inc. (FSLY) Jumps 15% Ahead of Tuesday’s Key Business Updates; Hedge Fund Conviction Weak
Fastly Inc. (NASDAQ:FSLY) climbed by 14.92 percent on Monday to end at $27.42 apiece as investors began positioning portfolios ahead of key business updates at its Investor Day meeting tomorrow, September 22. The rally was supported by earlier warnings from Anthropic Chief Executive Officer Dario Amodei that development of artificial intelligence must slow down and […]
USA TODAY Sports Super 25 high school football rankings, Week 6
Bishop Gorman's win over Mater Dei shifted the national rankings, and Carrollton's dynamic offense has pushed the Trojans into the top 10.
Frank Mrvan talks steel industry, possible Chicago Bears move
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First pediatric medical-behavioral Health Unit opens, Deaconess partners with Evansville Fire Dept
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Deion Sanders wasn't happy that some players were laughing after blowout loss
Saturday night's blowout loss to Northwestern had some Colorado players not behaving like they were in a "fucking library."
FULL SHOW: Inside INdiana Business 9/20/26
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Deion Sanders unhappy with Colorado players laughing after Northwestern loss
Deion Sanders confronts Colorado Buffaloes players.
Natsoulas Gallery presents two exhibitions
The John Natsoulas Gallery will open two new solo exhibitions this fall, presenting the work of nationally exhibiting artists Joy Stocksdale and Deirdre White.
Talking Business with Don Cunningham: Making things is in the Lehigh Valley’s DNA
After a couple decades of manufacturing decline starting in the 1990s, manufacturing is once again the largest part of the Lehigh Valley economy with more than 700 manufacturers generating about $9 billion in annual GDP from 37,000 workers.
‘Clear retribution’: dismay as key Alzheimer’s study cancelled amid Trump attacks on science
Participants in Pittsburgh may never learn the results of their cognitive tests – and funding cuts that target ‘DEI’ have the potential to delay vital diagnoses
‘Clear retribution’: dismay as key Alzheimer’s study cancelled amid Trump attacks on science
Participants in Pittsburgh may never learn the results of their cognitive tests – and funding cuts that target ‘DEI’ have the potential to delay vital diagnoses
What Does the Science of Climate Change Really Look Like?
Editor’s Note: This is the second in a three-part series on how the Right should think about environmental and climate policy. Read Chris Barnard on Reclaiming Environmental Policy from the Left. More than a decade ago, the world’s governments negotiated and signed the Paris Climate Agreement, committing to hold global warming well below 2 degrees Celsius. In the following years, climate had immense cultural power. Greta Thunberg emerged. Fortune 500 companies established net-zero plans. The U.S. got the Inflation Reduction Act. Then the pendulum swung back. President Donald Trump returned to the Oval Office, speaking of green energy as a “scam” and carbon footprints as a “hoax” and on all matters of international policy emphasizing bilateral engagement and power over globalism and cooperation. The technology companies that had been at the forefront of net-zero pledges and green leadership discovered the importance of all-of-the-above power to their visions for artificial intelligence and began quietly postponing or removing their targets. On the left side of the political spectrum, rising concerns about inflation and cost pushed climate lower down in the stated priorities of voters and stump speeches of politicians. The moment is ripe for a reset on the politics of climate change and for conservatives especially to chart a course that acknowledges and addresses the real challenges in plausible ways. So what should we think about climate change as we enter a post-peak climate era? If it is neither an apocalypse nor a hoax, what will hold up as a durable view of climate change? And how does it project onto the concerns and priorities of the right-of-center’s emerging coalition? New to Commonplace_? Subscribe below to get the magazine in your inbox._ Subscribe A Solid Foundation As the politics and economics of climate careened over the past ten years, the physics carried on regardless. In 2015, the year the Paris Climate Agreement was adopted, the world emitted 41.2 gigatonnes of carbon dioxide. By 2025, emissions had risen only 2.4%, to 42.2 gigatonnes, because falling emissions from land use offset increasing emissions from fossil fuels. But slow growth in annual emissions is not rapid decline, let alone net-zero, so carbon dioxide kept accumulating in the atmosphere, going from 399 to 426 parts per million. Global temperature kept rising too, from about 1.1 degrees Celsius above the 1850–1900 average in 2015, to 1.4 degrees above it in 2025. None of this should surprise anyone. Even most prominent skeptics, like the authors of the 2025 report commissioned by the Trump administration’s Department of Energy, accept the basic physics. Carbon dioxide added to the atmosphere at industrial volumes accumulates and traps heat that would otherwise escape to space. That heat warms the upper ocean and increases temperatures at the surface. Increased ocean heat and melting of land ice cause sea levels to rise. Changes in the climate become noticeable to us as subtle shifts in temperature and precipitation, seasons arriving early or late, changes in the surrounding ecosystem, and weather extremes. The much more meaningful debate is not about whether these things are happening, but about what it all means for human societies. (While it is a proxy measure of overall risk, no one experiences global surface temperature.) This debate invokes at least three interesting questions: how much today’s warming is showing up in regional climate trends, how much more warming we should anticipate, and how extreme weather events can be understood in the context of climate change. Recent scientific advances give us new insights into each of these, but there is still much to learn. This is the context in which the next generation of conservative leaders will be the first to deal with significant climate change as a fact, not a forecast. It will be with them for their entire careers. Our evolving scientific picture of climate change will come from weather and climate records stretching further into the past, new kinds of observations in the present, better modeling tools for the future, and simply more time to observe the emergence of climate signals and their tangible effects on ecosystems and communities in the United States and around the world. The policy landscape will be shaped by not only the impacts of changes in the climate, but also by the ways in which societies respond and by the emergence of new technologies for both altering the trajectory of emissions and adapting to new climate realities. Global climate records now show the fingerprints of warming in different phenomena around much of the world. The IPCC, in its most recent assessment report, documents warming trends over all land regions, even as natural variability adds substantial variance to local trends. And the highest temperature extremes have become more intense and frequent, almost everywhere, since the 1950s. Scientists are highly confident that these changes are attributable to human influence. But confidence in detecting trends and attributing them to human influence degrades across heavy precipitation events; drought trends are heterogeneous and not attributable to human activity with great confidence. For hurricanes, tornadoes, and other severe storms there is even less confidence in trends or their relationship to climate change. In general, a fair summary of the evidence is that for well-observed phenomena, like surface temperature or heavy rainfall, with a clear relationship to warming, our multidecadal observations are consistent with human influence overcoming natural variability over long time periods and extremes increasing. For regions that are sampled more sparsely, or phenomena with a higher noise-to-signal ratio, we will need to observe them longer to understand the magnitude of the climate signal or improve dynamical understanding using models and observations together. But for Climate For those who can’t wait, we also have new techniques that attempt to understand the role climate change has in influencing particular extreme events. When the climate is changing and disaster strikes, it is natural to ask whether that disaster was somehow “caused” by climate change. For scientists and policymakers acting in good faith, answering that question helps develop a more accurate picture of the problem, how it may be getting worse, and what preparations we should be making to respond to it. It may, at some point, give some weight to how liability is assigned by courts or adaptation funding is distributed by society. But how we ask this question is extremely important. It is easy to get the analysis wrong by discounting the role that meteorology plays. As meteorologist Theodore Shepherd explained in a clear 2016 review of climate attribution methods, “if a weather or climate event is truly extreme in the present climate, then perforce it requires unusual meteorological conditions, which means that climate change is at most a contributing factor.” Share Scientists have two ways to probe climate as a contributing factor, both of which have entered media coverage of extreme weather events. One asks a probabilistic question: How much more likely is a particular event (e.g., a temperature record over a particular area) amid global warming? The answer involves using historical records and computer simulations to estimate the likelihood of such an event in both a changed and a preindustrial climate. The findings are less about the specific event, and more about events of that nature. The other question is: How has the changed climate affected the specific event in question? Here, scientists try to understand what a similar event would have looked like in the preindustrial climate. This is sometimes called the storyline approach, where the story is the specific meteorological details of the event. These methods offer ways to test the intuition of scientists about real weather extremes. In late June and early July of 2021, a persistent high-pressure ridge, or heat dome, set up over the Pacific Northwest and an extraordinary heat wave affected the area from Oregon to British Columbia. For six days, it shattered temperature records across the region and hundreds died from heat-related causes, in an area where such high, and persistently high, temperatures were well outside of experience and many live without air conditioning. Scientists have studied its connection to climate change using multiple approaches. This specific event was created by a rare combination of meteorological factors, a strong high-pressure ridge created the conditions for extreme heat, which occurred on top of higher average temperatures in the region from global warming. Probabilistic analyses showed that climate change increased the likelihood of such an event by at least 8-fold to more than 100-fold. One standout example found that such an event had effectively zero probability of occurring in the preindustrial climate. The enormous range in these assessments reflects how hard it is to estimate probabilities of events at the tail of the historical record. Estimates of the effect on the temperature of the event are more clustered. A recent review paper documents how multiple methodologies have found a positive influence, roughly 1-2 degrees Celsius of an anomaly that exceeded 15 degrees, of climate change on the temperature magnitude of the event. Multiple studies have investigated and found some positive influence of climate change in other extreme events. Attribution studies found climate likely increased the heavy rainfall that accompanied Hurricane Helene in North Carolina and surrounding regions in 2024. The extensive fires that struck Los Angeles in 2025 illustrate how the causal chain can become messy, though. Studies do detect a positive influence of climate on the event’s likelihood, but while climate change likely contributed to underlying aridity, it would not have played a role in the heavy winds or land practices that preceded disaster. These event attribution studies will become more common for extreme, or damaging, weather events. They can be produced quickly, and often are reported before peer review. As the Pacific Northwest heatwave example shows, when multiple methods converge on a positive attribution, the finding should probably carry some weight even if you have to be careful about accepting the results from a single study. I expect that as climate change proceeds and the climate thus departs further from a preindustrial counterfactual, the influence will become more detectable across a variety of extreme events and more easily identified. This will be used to cast blame, but can also be used to inform how communities and society adapt to ongoing change. We May Still Be Surprised One positive development, insofar as less climate change is better, has been that our central estimates for future climate change should probably be revised downward. Mostly, that is because the high-end warmings that scientists regularly analyzed about ten to 20 years ago, driven by high emissions throughout the twenty-first century, now appear to be somewhere between unlikely and impossible. At one time, the upper end of mainstream climate projections extended well into 4 to 6 degrees Celsius of warming by the end of this century, which, models suggest, would have wrought enormous real-world damage. Current energy and policy trends now point toward 2.5 or 3 degrees. Damages and risks are commonly modeled as increasing steeply with more warming, so this is already a better-than-previously-expected outcome for the climate (which is independent of the physical response to emissions). But we should maintain a wide range for plausible outcomes and prepare for the possibility of being surprised. Emissions trajectories are subject to deep uncertainty, the physical climate response is still developing, and whatever change occurs in the climate will then be mediated through unpredictable economic, social, and political institutions. Over the past decade, the pace of warming surprised some keen observers and appeared to accelerate, though not yet outside the range of expectation provided by climate models. The reasons for that apparent acceleration are being actively studied (as was the apparent pause in warming from 1998 to 2012), but no single driver has emerged. Some blame it on the El Niño, variability which would have no bearing on climate. Some think it is a result of factories in East Asia and global shipping fleets cutting aerosol emissions, which in the strongest version of the argument would indicate higher climate sensitivity to carbon-dioxide emissions. Others are more measured, not yet ready to draw solid conclusions as to whether climate projections require revision. We will have to see. Long-Term Thinking Climate change asks us to think over long time scales. But the pace of human-driven warming is compressing a large global change into a century. Changing weather patterns and extreme events are already causing adjustment costs and damages and will do more. Adaptation will help, but it is not free. For some communities, these costs will erode livelihoods and well-being, and may force migration. Are we prepared for large-scale managed retreats in the United States? Thankfully, American wealth, geographical diversity, and moderate climates may leave us better prepared than many around the world. But wealthy countries can still suffer serious disruption from narrowly concentrated costs, even if they appear entirely manageable in aggregate. Readers of Commonplace are familiar with the challenges of rapidly adapting to economic forces. The displacement that came from the China Shock is barely perceptible in aggregate GDP and employment data, but it affected millions of people and those people were far less mobile than economic models tended to assume. Deindustrialization rippled through the nation with enormous effects for not only our economic vitality, but also our national security. The forces surrounding climate change may not be so different; the world gets richer and must accept some diffuse costs. Those may be modest overall, but cause all manner of unpredictable effects with which policymakers must cope. In the case of the China Shock, our faith in a growing pie served us poorly. We’ll need to do better on climate. Leave a comment
Deion Sanders refuses to settle for mediocre with Colorado football
Despite an undefeated start, Coach Prime demands perfection before Big 12 play while balancing a road test against Northwestern and a bold push for federal legislative reform.
Adeia Recognized with Two Asia Pacific Business Awards Honoring Regional Innovation and Leadership
Company named Asia Pacific Outstanding Company of the Year Steve Kim recognized as Outstanding Executive of the Year SAN JOSE, Calif., Sept. 16,...
‘P(doom)’ Is Just Vibes Masquerading as Science
Take the statistical AI doomsday warnings and divide them by a grain of salt.
Study: Why Colder Temps Can Be Better for Removing Ice
By Kim Horner | Mechanical engineering research associate Yao Ren exposes an ice-covered metal surface to dry ice to cool it further. Researchers found that a material’s thermal properties play a critical role in determining whether ice remains attached to a surface — a discovery that may lead to the design of future deicing systems for […]
High school football rankings shift in latest USA TODAY Sports Super 25
Allen and Mater Dei surge in the latest Super 25 high school football rankings after key wins shake up the top 10.
Consulting's DEI bill hits $63 million as Accenture settles DOJ claim
The DOJ accused Accenture of discriminating on the basis of race and sex in its hiring and promotion practices.
What execs and politicians are saying about slowing down AI development
Who is supposed to put the brakes on AI?
USA TODAY Sports Super 25 national high school football rankings, Week 5
Allen's (TX) three impressive wins over in-state powers vaults the Eagles up the rankings, and Mater Dei's win over Centennial shook up California rankings.
AI warnings spark decline in tech stocks, Nvidia slides
AI warnings from Anthropic's Dario Amodei impact tech stocks like Nvidia, SpaceX, and Microsoft, causing a premarket decline.
Washington leaders are far from being on the same page over AI
Although AI CEO’s Sam Altman and Elon Musk among others agreed with Dario Amodei’s proposal to work together to slow down development of the technology, CNN’s Jake Tapper notes that political leaders seem to be far from being in any sort of agreement. This video has been updated with the city in Ireland where President Trump made his remarks on Sunday.
What smart people say about calls from AI leaders to slow it all down
Anthropic CEO Dario Amodei called for a slowdown of frontier AI, winning support from Sam Altman, Elon Musk, and Demis Hassabis — but not everyone.
Political debate over AI intensifies amid warnings about ‘catastrophic risk’
(CNN) — The debate around artificial intelligence is ramping up in Washington, with Democratic lawmakers sounding alarms on the dangers they say the technology poses and Republican leaders suggesting those concerns are inflated and secondary to winning the AI race with China.Some Democratic lawmakers last week pressured House Speaker Mike Johnson to reconvene the chamber immediately to work on AI regulation, citing what they describe as the “catastrophic risk posed by advanced artificial intelligence.” But the Louisiana Republican on Sunday resisted those calls, instead saying industry leaders should meet with lawmakers to find “balance” in any potential guardrails.“If Congress just races in and does some sort of emergency session to try to regulate AI, we will lose the race to China, and that is a threat to every single American,” Johnson said on CNN’s “State of the Union.”Meanwhile, former President Barack Obama told Democrats to make artificial intelligence regulation a central part of their agenda during a private fundraiser Thursday, warning that the technology could be dangerous “if we don’t get on top of it.”In a fireside chat with House Democratic Leader Hakeem Jeffries, Obama said whoever runs in the 2028 presidential election should have a “very clear plan” on AI, adding that he saw the need for a “blueprint” on AI guardrails even at the end of his presidency a decade ago.“Certainly, if I were running for president next year, this would be one of my central agendas, and I would have a very clear plan, and I would talk about this, and I would say, ‘Here’s our plan for safety, here’s our plan for making sure our kids are not corrupted by this,’” he said, per excerpts of the remarks provided to CNN by his office. Obama’s remarks were first reported by the New York Times.Concerns over the rapid acceleration of AI reached a fever pitch after Anthropic CEO Dario Amodei wrote in a 3,800-word essay Saturday that the race to develop artificial intelligence is in dire need of a slowdown. The call to action came after an OpenAI test model breached the Hugging Face online platform, deepening concerns about cybersecurity.In an exclusive interview with CNN’s Anderson Cooper on Saturday, Amodei called on industry leaders to work together to avoid “the wrong paths” and the possibility of AI harming humanity.One Anthropic researcher, Jacob Coxon, resigned from the firm over worries that the industry wasn’t doing enough to prevent AI from destroying humanity by the end of the decade.Obama said Democrats need a plan to get their agenda on AI underway should they win the House majority in this year’s midterms.Speaking to Jeffries, who is presumed to be speaker of the House should Democrats prevail in November, Obama said, “Once you are speaker, I would strongly urge that the Democrats put together a framework for a very public conversation, and you can break it out into three or four or five issues.”Obama stressed that the framework should be centered on the reality that the technology can’t be stuffed “back into a box.”“This is something that is moving very fast in private hands, and if we don’t get on top of it, I think can be dangerous. If we do get on top of it, I do think it’s beneficial,” Obama said, laying out examples of AI’s potential use in drug development and finding pathways to a clean energy future.“We don’t want to shut off those opportunities, but we have to understand that this is a tool,” he said.Jeffries agreed with the former president in a statement provided to CNN on Sunday.“President Obama is correct that decisive action must be taken on Artificial Intelligence,” he said, adding, “In the majority, we will move urgently on this issue with a legislative response that recognizes the importance of American companies continuing to lead in the Artificial Intelligence area, while putting in place meaningful guardrails that protect the American people from bad actors and the very real damage that can be done to humanity.”Jeffries also accused Republicans of having “abdicated their responsibility to govern” and said Democrats “will not repeat their error.”A source familiar with Obama’s thinking said the former president sees Amodei’s letter and similar reaction from other tech moguls as an encouraging development.But President Donald Trump waved off their concerns, saying he is not worried about any existential threat posed by AI, focusing instead on the US winning in its development of the technology over China.“We’re leading China in AI. We’re the most sophisticated country in the world, and frankly, I want to keep it that way,” Trump said to reporters at the Amgen Irish Open on Sunday.About the concerns expressed by Democrats and others over the technology, the president said, “I think you have a lot of negative forces that are bringing it up that shouldn’t be bringing it up, and they’re bringing up things that won’t happen.”One of Trump’s top economic advisers, Kevin Hassett, also rejected the calls for slowing the technology down, saying on Sunday the bigger concern is a scenario in which a “malevolent actor has access to an AI that’s better than the one we have that can protect us.”Hassett, the National Economic Council director, said on “State of the Union” the White House may hold meetings this week about addressing Amodei’s concerns, but he did not specify whether Trump had floated greater safeguards.“I have concerns that if we don’t win AI, we’re going to be put in a very bad position,” Hassett said. “We are leading China right now.”CNN’s Alison Main and Molly English contributed to this report.The-CNN-Wire™ & © 2026 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.THE-CNN-WIRE (TM) & © 2026 CABLE NEWS NETWORK, INC., A TIME WARNER COMPANY. ALL RIGHTS RESERVED.
Marian U. President discusses Crossroads Academic Medical Institute
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FULL SHOW: Inside INdiana Business 9/13/26
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Amodei, Altman call for slowing AI model development
Leaders of the world’s biggest artificial intelligence platforms said it’s time to slow the development pace of their most advanced — and most lucrative — models, citing escalating risks of
Amodei, Altman, Musk call for slowing AI model development
Leaders of the world’s biggest artificial intelligence platforms said it’s time to slow the development pace of their most advanced — and most lucrative — models, citing escalating risks of the technology.
Amodei, Altman, Musk call for slowing AI model development
Leaders of the world’s biggest artificial intelligence platforms said it’s time to slow the development pace of their most advanced — and most lucrative — models, citing escalating risks of
Amodei, Altman, Musk call for slowing development of AI models
Leaders of the world’s biggest artificial intelligence platforms said it’s time to slow the development pace of their most advanced — and most lucrative — models, citing escalating risks of
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Anthropic CEO Dario Amodei called for an AI slowdown on Saturday. OpenAI CEO Sam Altman and SpaceXAI CEO Elon Musk, and others, also chimed in.
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