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This Chicago Mansion Is Hiding A World Of Magic Behind Its Historic Doors
Located near the Magnificent Mile, The Hand & The Eye offers three floors of immersive illusions, fine dining and secret passages.
There’s a Reason That Netflix’s Ad Business Has Underwhelmed
Somewhat lost in the company’s slew of firings and engagement warnings over the past few weeks was the fact that Netflix is scaling back its ad forecast for 2026 from $3 billion to $2.7 billion. That’s despite the fact that: CTV is growing by 14-15% this year This year saw a monster upfront Netflix is the biggest streamer out there this side of YouTube, and was the platform that for years brands were supposedly dying to be a part of In other words, that’s an alarming pull-back from Netflix. A Wall Street analyst I spoke with last week was blunt, calling Netflix’s ad business “disappointing.” To me, a red flag on the ad front is that Netflix has never revealed how many ad-supported subscribers it has. Because if I know anything about how big companies work, if they have a positive number that makes them look really good - they tend to share it. (How many subs does go90 have right now? We’re not saying just yet. How are ads going on ChatGPT? Oh, a billion run rate - I see). Yes, to date Netflix has shared some fuzzy ad numbers, such as the idea that the company’s ad tier ‘reaches’ 250 million users globally.’ Here’s why that figure gives me pause: a)they lead with global, and b) they don’t explain how they are calculated. (Are they based on average people in each room? Surveys of some kind?). Regardless, some insiders say that Netflix’s ad tier is scaling nicely - others not so much. Either way, one of Netflix’s biggest challenge on the ad front appears to have been its starting point. Remember, when Netflix launched ads in 2022, it had 73 million subs in the US and Canada. That’s 73 million people who were used to Netflix with zero ads. And when the ad product rolled out, the company clearly was going after new users - a limited pool of potential subscribers by default. That focus seems to have changed over time, as Netflix has tried to convert longtime subscribers to the ad tier. Historically Netflix subscribers are very sticky. But is the company’s low churn a problem? Not necessarily, according to Antenna data. Rather, Netflix’s consumer loyalty is a bit of a double-edged sword. “Netflix is the one streamer which actually has seen substantial “trade downs” but has much lower ‘win backs,’ said Antenna founder Jonathan Carson (win-backs being people who were on the ad-free plan, cancelled, then rejoined on the ad plan). “Netflix has lower churn and so has less opportunity to win back old subs with a lower cost plan option.” This all might explain why Netflix has been so slow to roll out all of these table stakes targeting options until just this week. It likely didn’t have enough users to carve up into various targets. etc. However, what really hit Netflix’s ad business was Amazon’s move a few years ago to turn on advertising for Prime Video by default. Suddenly the market was awash in premium inventory, and Netflix was playing catch-up on multiple fronts. Thus, the streaming giant appears to still be figuring out if if wants lead in ‘programmatic TV,’ or premium ‘upfront’ TV sales. “The CTV market now sorts into three businesses, and Netflix is not the leader of any of them,” wrote analyst Jack Myers. Ouch. So how does Netflix ratchet up its ads business? Get the next NFL package You’re gonna have to wait until 2030 unless one of the bigger media companies like Skydance opts out, but the easiest (not cheapest) way for Netflix to become a huge TV ads contender is to get one of the regular NFL packages, ideally Sunday afternoons. That way it can sell ads to its whole U.S. subs base overnight. Go FAST This one is risky, because to program a compelling FAST channel, you’d likely have to take some older Netflix exclusive shows and make them available for free to non-subscribers. But FASTs, for better or worse, are ad-inventory machines. Go full UGC I’m not sure I see this happening. There is something already off about Netflix carrying podcasts and shows for creators. The experience sticks out in what is such a produced, and generally non-communal environment. But Netflix could open up its platform by allowing creators to upload videos without having to be approved by the service. But that opens a whole other can of worms (policing brand safety, copyright infringement, overall quality). Make a huge RMN Deal I was going to suggest something crazy, such as ‘instead of buying Warner Brothers, Netflix should buy Target. But the company doesn’t want to be in the brick and mortar business. Yet for Netflix’s ad business to compete in an Amazon world, it needs to be able to connect ad exposures to shopping. What if, instead of letting Amazon target Netflix viewers with its DSP, Netflix inked a deal with Target, or even took control of Roundel, and created its version of the Amazon full-funnel for brands? Price us out. I hope they don’t do this, but Netflix’s price increases - while significant - haven’t been enough to push long-term customers out of the ad-free tier. But if they made those prices so prohibitive, it could push large swaths of consumers to trade down. Then again, that could also dent engagement - as binging becomes much less appealing once you bring ads into the equation. Or, they could just launch a bunch of hit shows and maybe everyone will quickly forget all this angst. More from Amazon unBoxed A few weeks ago, I recorded two podcasts live at Amazon’s unBoxed event in San Francisco. I was able to go really deep with several brand partners about how Amazon’s various data and ad products work - particularly the under appreciated Amazon Marketing Cloud. First, I talked with Laura Abadias Velilla, of the Amazon specialty agency Amerge, along with Amazon’s own Charlotte Maines, Vice President, Devices Content & Advertising, about how the two partners helped a very specific printer company Epson launch into a brand new category - high end projectors. It’s a great example of how brands connect audience data across platforms to make budget deployment decisions. Next, I chatted with Monks VP Head of Digital Investment for North America Tom Burchill about how the agency actually brought in data from Linkedin to help target B2B customers across various Amazon properties for the brand Quicken. Check it out: Check these out, or just listen:
This Philly health advocate is breaking barriers to care
Following a long wait for a kidney transplant, scholar and advocate Jazmin Evans now works to make healthcare more accessible for others.
Nonprofits warn online sports betting initiatives put vulnerable Nebraskans at risk
The Open Door Mission hosted Gambling with the Good Life this morning to speak out against Initiatives 440 and 441, two measures that would amend the Nebraska Constitution to legalize online sports gambling.
Inside Trisha Yearwood’s Weight Loss Journey: Everything the Country Singer Has Said About Her Health
Trisha Yearwood has been candid about dieting and weight loss over the years. Here’s everything to know about Trisha Yearwood’s weight loss journey.
Bronze Siskel & Ebert statue, with their theater seats, coming to Prudential Plaza
The sculpture will invite fans of Chicago's most celebrated film critics to sit in their iconic theater balcony seats.
Baptist Memorial marks lease transfer at Merit Health Rankin
The transfer was first announced on June 2 after a unanimous vote by the Rankin County Board of Supervisors.
China’s rise deepens industry concerns: Europe lacks a clear plan for life science
China’s five-year plan for life science must be taken “extremely seriously,” but Danish companies should also stay close to China’s fast-growing innovation hubs, says trade group director.
Science Hill, West Ridge preparing for crucial Big East clash
Sometimes you've just got to tip your cap to the other team.
How GSN Doctoral Residents are Approaching Care for Military Women’s Health
A Navy nurse and GSN doctoral resident redesigned an Okinawa maternity unit, cutting off-guideline staffing from 18% to below 12%.
Science Hill volleyball advances to Friday's state championship match
MURFREESBORO — For the first time ever, Science Hill's volleyball team will play in the state championship match
Longtime Cargill Exec Takes Reins At K-State Animal Sciences Department
Longtime Cargill executive Scott Eilert will take the helm at Kansas State University’s Department of Animal Sciences and Industry in the College of Agriculture, the school announced. The department is home to Kansas State’s largest degree program and one of the nation’s largest animal science academic centers. Eilert, a 1989... Longtime Cargill executive Scott Eilert […]
What is Glycidol methacolayte? Breaking down the health risks from Toledo chemical leak
Residents in northern Toledo are reporting varying health symptoms as a result of an active chemical leak in the area. But what's the actual exposure risk?
Shader Compilation Stutter Begone: Nvidia's Latest GPU Drivers Finally Add Advanced Shader Delivery
Now AMD, Qualcomm and Nvidia all support the tech - with Intel coming soon.
Nvidia’s latest GPU driver brings a new way to speed up PC games
Microsoft’s new Advanced Shader Delivery technology is now part of Nvidia’s drivers.
Duke Endowment makes big investment in NC Children’s hospital
By Anne Blythe Key Takeaways: On a heavily wooded tract near the intersection of U.S. 1 and N.C. 540 — a 220-acre spot in southern Apex so void of infrastructure it shows up only as GPS coordinates on a map, the Duke Endowment announced a transformative $100 million grant Tuesday morning. The investment will help […]
Christian Horner reveals Red Bull talks with Lewis Hamilton management before telling Mercedes' Niki Lauda to sign British driver
Christian Horner joins Simon Lazenby on the latest episode of Sky Sports The F1 Show Podcast to reveal all on Red Bull talks with Lewis Hamilton before the latter joined Mercedes and his thoughts on Kimi Antonelli, who could become world champion this Sunday at the United States GP
China, Russia Deepen Arctic Ties as Japan, Iceland Boost Science Cooperation
Russia floats a rival Arctic framework while Japan and Iceland, marking 70 years of diplomatic ties, lean on polar research to deepen cooperation.
ChatGPT now lets you lock your chats
The company says the feature is designed for situations where users might be discussing something personal or planning a surprise and want to keep those conversations private when handing their device to friends or family to show them something in another chat.
Amazon buys billions in Nvidia AI GPU racks, then waits for power
AWS is ordering billions in Nvidia AI racks early and staging some in warehouses while data centers await power.
Garmin Edge 1060 Cycling GPS Hands-On: Everything You Need to Know!
Everything you need to know about the Garmin Edge 1060, based on initial real-world ride data and hands-on thoughts!
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.
AMD Announces FSR 4.1 for Xbox Series X/S, Z2 Extreme and Z2A Handhelds, RX 6000 GPUs and More
Plus: FSR 4 will soon support Vulkan games.
AMD is bringing FSR 4.1 to Xbox consoles and handhelds
AMD’s latest upscaling tech is also coming to laptops, 6000-series GPUs, and handhelds.
Coming to XBOX Game Pass: Final Fantasy VII Remake Intergrade, The Séance of Blake Manor, and More
Ghosts to question and a planet to save. Sounds like a perfectly reasonable few weeks to me! We have another batch of games coming soon to Game Pass, so clear a little room in that “Play Next List” and let’s get to it!
Xbox Series X will offer identical graphics to the base PS5 in Grand Theft Auto VI
Social media is buzzing about user XGREEN's claim that the Xbox Series X console will supposedly offer better value for money.
Opinion: How one-party politics and a complacent media fail Cook County
Cook County and lately Illinois are paying a high price for the one-party system that the monetization of politics propagates.
Opinion: How one-party politics and a complacent media fail Cook County
Cook County and lately Illinois are paying a high price for the one-party system that the monetization of politics propagates.
DOJ Charges 28 California Residents With Voting-Related Crimes Amid Trump’s Voter Fraud Push
The effort by the Trump administration comes as it wages a broader fight with California officials over voter rolls.
AMD Ryzen AI Halo Review - Local-AI Powerhouse with 128 GB of Memory
The AMD Ryzen AI Halo is great at running local AI workloads, featuring a Ryzen AI Max+ 395 APU with 128 GB of unified memory in a compact form factor. It excels at handling large models, enabling tasks that most consumer GPUs struggle with. With AMD AI Playbooks, getting started is simple, allowing you to explore the frontier of AI at home.
Hackers Exploit Plex2Shell Flaws to Install Crypto Miners and Linux Proxy Backdoor
Attackers exploit four Plex Media Server flaws chained as Plex2Shell to deploy XMRig miners and reverse proxy software after PoC release.
3 tips to manage soaring health costs
Marsh McLennan Senior VP Marybeth Gray shared ideas to keep employees healthy and costs down.
The RTX 5090 Isn’t 'Alive' if It Costs $10,000, No Matter What Nvidia Says
Nvidia's flagship GPU may still be in production, but that isn't saying much for the state of Nividia's RTX 50-series lineup.
South Brunswick BOE Approves High School Computer Science Research Study Involving ChatGPT
South Brunswick High School students will participate in research exploring how ChatGPT and AI tools can support computer science education.
GTA VI will run better on Xbox Series X than on the base PS5.
A technical analysis of the hardware specifications of current gaming platforms indicates that the anticipated crime action game Grand Theft Auto VI...
Expert ‘bat wranglers’ put GPS trackers on California’s bats
These winged mammals can cover a lot of ground during their seasonal migrations.
Central Illinois Flea Market vendors explain why they’re in business
The Central Illinois Flea Market wrapped up its season at Peoria Speedway this weekend, giving shoppers one last chance to browse a variety of unique finds.
Taiwan Railway to ban political advertising in stations from 2027
State-owned Taiwan Railway Corp. (TR) on Monday said it would ban political advertisements in its stations with effect from next year, following criticism that such ads violated administrative neutrality.
China takes aim at life science leadership as Danish companies are urged to “really take it seriously”
A new five-year plan from Beijing aims to make China a life science superpower by 2030, and two China analysts say the target is within reach.
2026 In-House Counsel CLE Webinar Series presents, “Beyond Compliance: The New Era of Business and Human Rights”
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MGPI to rebrand as Sempreon
Move represents the next chapter for Atchison, Kan.-based company.
BC Party Platforms in the Age of Flash-Mob Politics
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Three Ballad Health hospitals recognized nationally for excellence in stroke care
Bristol Regional Medical Center, Holston Valley Medical Center and Johnson City Medical Center earned awards from the American Heart Association for stroke care.
Obama says Trump officials’ pursuit of Rep. Omar should ‘outrage all Americans’
In a statement Sunday, the former president said the administration is targeting the Minnesota Democrat based on her political beliefs.
New Tools Let Users Edit and Load Modified VBIOS on GeForce RTX GPUs Without Flashing
A developer who goes by Panchovix has released three tools that let NVIDIA GeForce RTX 50, RTX 40, and RTX 30-series owners run a modified VBIOS without writing anything to the card's flash chip. The first is a VBIOS editor for Windows and Linux that can change power limits, voltage ceilings,...
Apple Reveals iPhone Duo's Battery Capacity
Apple on Friday published an EU energy label for the iPhone Duo that reveals the device has a total battery capacity of 4,883 mAh. The document appears to confirm a previous leak that showed the iPhone Duo has 2,962 mAh and 1,921 mAh battery cells totaling 4,883 mAh. iPhone Duo is an eSIM-only device, so this battery capacity figure should apply worldwide, as there is no version of the device with a physical SIM card tray that would have a slightly smaller battery.
Health minister decries bill subsidizing NHI premiums for most seniors
Health Minister Shih Chung-liang (石崇良) has warned that newly passed legislation fully subsidizing National Health Insurance (NHI) premiums for most seniors would increase the financial burden on younger generations.
Democratic Voices, Sunday: Science
Welcome to Democratic Voices, a series that features elected Democrats speaking out on Bluesky. Sundays I try to create some kind grouping other then by state. Today, Science. Sean Casten and Bill…
Dispensaries, mental health facility, other projects planned in central Pa.
The medical-related projects include counseling centers, places to get medical marijuana and physical therapy cinics.
‘Your health is your wealth’: Martin Ho, away from the game
The Tottenham boss on golf, yoga and why switching off makes him better at the day job, plus the Spurs staff who’d give him a game.
Grants for pioneering Surrey farms which use lasers and GPS
A Surrey vineyard, cattle farm and beekeeping business are among firms awarded a share of £500,000.
Green Bay No Kings rally draws several hundred to urge early voting
In Green Bay, protesters under the national No Kings banner aimed populist messaging at President Donald Trump.
Criminal Justice Reform Isn’t Dead, Despite GOP Attack Ads
A familiar tough-on-crime election strategy is making a comeback, even as Republican and Democratic lawmakers keep passing reforms across the country.
NVIDIA Denies RTX 5090 Discontinuation Reports; Jeff Fisher Confirms Flagship GPU Will Continue Shipping
NVIDIA denies the discontinuation of the RTX 5090 despite reports, emphasizing its importance amid severe supply constraints as prices exceed $5000.
ASUS Finally Builds An Intel Arc Graphics Card After Two Generations On The Sidelines, And It’s The Full 32 GB Big Battlemage Arc Pro B70
ASUS is releasing its first Intel Arc graphics card, which is powered by the Big Battlemage GPU, and aims at the lucrative AI segment.
Arts and entertainment throughout the region
A listing of arts and entertainment events throughout the region.
Arts and entertainment throughout the region
A listing of arts and entertainment events throughout the region.
Hawkins County Schools hosts science, career fair for students
Hawkins County Schools' seventh and eighth graders explored science and careers — and careers in science — at an all-day event Friday.
ChatGPT gave a man unlicensed medical advice, leading to mental health crisis, lawsuit alleges
Build Stakeholder Trust Before You Need It
Preparing relationships for change deserves as much attention as preparing the business.
Some GOP politics before Nov. 3 election in Sullivan
Republican politics came into the Sullivan County Commission meeting Thursday
Can AI solve our mental health access problem?
Last week I asked you what worries you most about AI in health. It was close, but your top answer was “AI giving bad health advice.” Last week’s poll results: You’re in good company. This concern was top of mind at a conference I joined at Stanford last week, where researchers, clinicians, and people who build AI systems spent a day debating trust and safety in health AI. Stepping back, I’m also hearing your emerging concerns about AI’s impact on our well-being generally. I see this as a matter of public health, and we’ll take it in pieces as we learn together. Today we’ll focus on AI chatbots used for therapy for mental health. Early this month, Governor Newsom vetoed Senate Bill 903, California’s most ambitious attempt to regulate AI use for mental health. It’s at the center of active debate, and raises the questions patients, family members, citizens, and voters will face as AI moves deeper into health care. Let’s work through it. What is “AI-based therapy”? It’s really two things: purpose-built mental health apps designed to deliver structured support, and general chatbots like ChatGPT, Claude, and Gemini that people increasingly use for emotional support—even if they weren’t built for it. Spoiler alert: I don’t know whether the shift toward AI therapy is good or bad. The evidence isn’t there yet. But I do know it’s already happening, and I have some ideas about how we can roll it out with safety in mind. The therapy dilemma, in a nutshell Mental health challenges are common, and strain health and well-being across populations. Therapy (interactive dialogue with a trained, empathetic practitioner) helps many people heal. The demand for licensed therapists far exceeds the supply in California, and AI-based therapy can narrow that gap. AI-based therapy remains novel, unproven, and not well tested. Right off the bat, we can see we’re dealing with trade-offs here. Since the main driver of demand for therapy from a robot is lack of access to therapy from a human, we’ll start there. It’s too hard to find and afford a human therapist California is short roughly 55,000 licensed, non-prescribing therapists and counselors, about 40% of what we need. Psychiatrists, who rely on talk therapy as a complement to prescribed medications, are even more scarce. Eight counties have none, and density ranges from 1.7 per 100,000 residents in San Benito County, to 68.1 in Marin County. My wife is a psychiatrist in Marin, and even here access is tight. If it’s hard in the best-supplied county, imagine rural Sierra County, or the San Joaquin Valley. In 2024, more than half of Californians who tried to make a mental health appointment struggled to find a provider who took their insurance, compared with 14% for physical health care. When Senate staff posed as “secret shopper” patients and called 120 mental health providers in Medicare Advantage networks, they landed an appointment less than once for every five tries. Insurers pay behavioral health clinicians about 22% less than medical and surgical clinicians for comparable office visits. On top of that, billing denials and prior authorizations hit hardest at the solo and small practices common in mental health. Psychiatrists opt out of Medicare at the highest rate of any specialty. In many places, a cash practice for therapy fills quickly with patients paying $250 or more an hour, with no insurance paperwork at all. Families who can pay cash find providers more easily. Those who rely on insurance, including Medi-Cal enrollees, older adults, rural residents, and non-English speakers, compete for what’s left. So we can’t pretend the human system works, and we can’t blame people for turning to AI for support when they’re in distress. AI is filling the gap It’s estimated that roughly a quarter of AI users use it for mental health support. If you have internet, it’s available 24/7, it’s cheap, and it speaks your language. Uninsured adults are about twice as likely as insured adults to do it (30% vs. 14%). It feels anonymous in ways that may enable people to ask things they’re unsure or embarrassed about. The largely hidden, personal use makes it hard to study whether it’s actually helping people with their mental health issues, but researchers are trying. Does AI therapy work? A 2026 analysis of nearly 40 randomized trials found chatbots showed a real but small reduction in depression symptoms. But most of these trials were compared to an alternative of no therapy, not a human therapist. So the benefit of AI therapy is probably real, but modest, and mostly untested against the alternative of human contact. We need more studies. Serious concerns OpenAI’s own estimate is that more than a million ChatGPT users each week show signs of suicidal planning or intent. These are high stakes encounters, and AI doesn’t always get it right. That’s partly because a chatbot can sound like a therapist, but it has no license, no duty of care, and it’s not clear who to hold accountable when it gets things wrong. AI is also designed to help users in whatever task they’re seeking to accomplish. People may feel like they’re getting therapy, but they’re mainly getting a convincing conversation. It’s easy for an AI companion to wander into gray areas, like playing along with “creative writing” that may be about the user’s own suicidal intent. Courts are driving safety conversations A wave of lawsuits have been filed on behalf of families claiming that chatbots pushed people they loved toward self-harm, including teens who died by suicide. The first settlements came this year. OpenAI is headquartered in San Francisco, and dozens of cases alleging that ChatGPT drove users to suicide or self-harm are now before a San Francisco judge. Character.ai has filed for bankruptcy after several states brought lawsuits accusing the chatbot of pushing dangerous content to kids. But the technology seems to be improving. Last month, an independent evaluation found that newer AI models “almost never endorse suicide.” That’s progress, but our societal appetite for even one preventable death is very low. So how do we move forward? Finding a middle ground Earlier this month the governor vetoed Senate Bill 903, a bill designed to place guardrails on the use of AI for therapy. The bill would have prohibited any AI-based platform from being advertised as psychotherapy, and would have required a licensed professional to review and approve each encounter where AI was used to support therapeutic decisions. Newsom called it overly broad, since even routine screening questions would have needed clinician sign-off. Knowing we’re already short on mental health providers, requiring human review of AI encounters may not relieve our access problems. Still, the answer isn’t no oversight. Here’s one feasible short term solution. Rather than reviewing each encounter, a licensed clinician can design the guardrails: what counts as a crisis, what triggers an immediate handoff to a human, and what gets sampled for audit each month. The AI runs inside that structure. Conversations get checked, failures get reported, and a real clinician owns the framework. Medicine already has models to learn from. The FDA process for rolling out newly approved medications is an example. After a product reaches patients, we keep watching for adverse events. Patient-facing AI needs the same “digital pharmacovigilance”: systematic tracking of harms, near misses, and the types of groups that get hurt and why. It’s also critical that users know that they can reach a human if they’re in crisis. Most chatbots now include messages like these: Bottom line The rush to use unproven AI tools for mental health support is mostly a workaround, a sign of a health system people can’t get into. We need better access to proven care from licensed clinicians. That takes reimbursement that makes accepting insurance viable, and a bigger workforce. But, built and tested well, AI could be part of the answer. It could be the 2 a.m. check-in when no one else is awake, or a way for patients to practice skills their therapist taught them. It could be the first step to get someone the right level of care, and take paperwork off clinicians’ plates so they spend more time with patients. None of this is simple. The SB 903 veto doesn’t end the debate, and the legislature will be back. In the meantime, those of us using these tools need to stay informed, ask hard questions, and hold the companies building them accountable. I’ll try to do my part, and we’ll keep learning together. Love,Matt P.S. If you or someone you know is struggling with mental health challenges, emotional distress, substance use problems, or just needs to talk, call or text 988- you’ll reach a real person— or chat at 988lifeline.org 24/7. Dr. Matt Willis is the author of Your Local Epidemiologist in California. A California native, he’s served as a primary care physician, CDC epidemiologist, and public health officer for Marin County, where he guided the pandemic response. He lives in Marin with his family and their dogs, Teddy and Ramona. Thank you Cynthia He, MD, PhD, and Parnika Saxena, MD, for their guidance in preparing this article. Cynthia works in an outpatient mental health clinic, treating patients who have Medi-Cal or, sometimes, no insurance. Parnika works in an inpatient psychiatric unit, treating patients with public or private insurance or self-pay ability. All opinions are their own and do not represent their employers.
Exclusive: Goldman Sachs CEO to chair Business Council
Solomon will succeed Target's Brian Cornell as chair of the exclusive group.
ChatGPT Can Now Look At Your Chrome Tabs To Do Tasks For You
The ChatGPT browser extension lets you compare information from your open tabs.
Overbay's brace lifts Science Hill to District 1-AAA title
Brenna Overbay scored two goals in a span of 17 minutes to lift Science Hill over Tennessee High.
Overbay's brace lifts Science Hill to District 1-AAA title
Brenna Overbay scored two goals in a span of 17 minutes to lift Science Hill over Tennessee High.
Health department shuts down Lexington Mexican restaurant
The health department closed the 1030 South Broadway Jalapeno’s location for “evidence of rodents.”
Is AI Leading to Declining Enrollment in Computer Science?
After years of seeing climbing enrollment in computer science, the Connecticut State Department of Education found enrollment going the other way every year since 2022, when ChatGPT was released to the public.
International Paper entertains offers for EMEA business
The Memphis, Tennessee-based company confirmed that it has received unsolicited offers for the independent company it’s spinning off in the EMEA region.
Omata Classic Analog Cycling Computer is Back, Updated and Now Built by Silca!
The beautifully simple Omata analog GPS cycling computer is now owned & made by Silca in the USA in strictly limited edition numbers!
Greenwich five-unit apartment building sells for $2.55M
A five-unit apartment building in Greenwich has sold for $2.55 million, or $510,000 per unit, according to town land records.
Docktober invites folks to join citizen scientists in peeking under docks
In the month of October, naturalist Luan Roberts organizes events and encourages everyone to look at the wildlife living under their local docks and report what they see. She's on a mission to get more people involved in the emerging citizen science known as “dock fouling.”
Companies pledge free software and computing for AI in science
The European Commission has announced that a group of companies and foundations will offer free services, such as software or access to supercomputers, to European scientists using AI in their research.Unveiled on October 15 at a conference in Dublin, the initiative is the latest step by the Commission to try to help researchers use the technology. Scientists have used forms of AI, such as machine learning, for decades. But advances in deep learning in the past decade, and the wider interest in large language models since the release of ChatGPT in 2022, have spurred governments to invest in new AI tools that could help the scientific process.In July, the US announced it is spending $5 billion on the Genesis Mission, which it describes as a “national effort to harness AI for science,” funding 278 projects across areas such as autonomous labs or new AI tools in astronomy. The Commission has also identified AI in science as a priority, but the €107 million it pledged from Horizon Europe in 2025 does not come close to US spending levels. That said, the vast majority of public research spending in the EU comes from national funds. Today’s announcement at the European AI in Science Summit doesn’t commit any new public money. Instead, it launches the AI in Science Enablers Initiative, a set of voluntary contributions from companies and foundations. The idea is that the companies also benefit by getting access to scientific ecosystems, and feedback on how their tools work. Google, for example, has put up €3 million of cloud computing credits to European researchers. The Novo Nordisk Foundation intends to make its supercomputer, Gefion, available to European researchers, according to the Commission statement. The chipmaker Nvidia said it would provide access to tools, compute, training and collaborative projects.The publisher Elsevier also offered complementary licenses to some of its AI tools, plus AI training for PhD, postdoctoral and master’s students. The French AI firm Mistral will provide the European research community with access to its open-weight models, Vibe seats and application programming interface credits, according to the Commission’s statement. Vibe is one of the firm’s chatbot models. The idea is that more firms and foundations will come on board in the future as the initiative grows.
Inside Business Matters: A transplant’s perspective on CNY, plus news on a local AI startup (how to sign up)
Every Thursday, the Business Matters newsletter gathers Syracuse.com’s most insightful, noteworthy business journalism for readers.
Chinese scientists say they spotted possible Israeli electronic warfare units
PLA scientists publish algorithm used to estimate sources of GPS spoofing around Israel using flight data.
iPhone Duo's A20 Pro Chip Benchmarked Ahead of Launch
The iPhone Duo unsurprisingly offers performance similar to the iPhone 18 Pro, according to an early iPhone Duo benchmark shared on Geekbench 7. Both devices are equipped with Apple's 2nm A20 Pro chip with a 6-core CPU and a 7-core GPU. The benchmarked iPhone Duo (iPhone19,4) is running iOS 27.1, as expected, and it had a single-core score of 3986 and a multi-core score of 11067. That's in line with multiple benchmarks collected from iPhone 18 Pro and iPhone 18 Pro Max models.
Sinead O’Connor was ‘really scared’ of Prince, their shared hair and makeup artist says: ‘That’s a real story’
Sinead O’Connor was ‘really scared’ of Prince, their shared hair and makeup artist says in a new book about the late ‘Little Red Corvette’ artist.
Docktober invites folks to join citizen scientists in peeking under docks
In the month of October, naturalist Luan Roberts organizes events and encourages everyone to look at the wildlife living under their local docks and report what they see. She's on a mission to get more people involved in the emerging citizen science known as “dock fouling.”
Fall is full of ways to connect with nature, get creative, and recharge at Trailside Nature & Science Center
The Union County Board of County Commissioners invites residents to explore a variety of upcoming programs, including sound bowl meditation, acrylic painting workshops, forest bathing and tea cerem…
Detroit’s People Mover to get 12 refurbished rail cars under $10M state grant
Michigan is awarding $10 million to help replace the Detroit People Mover’s rail cars and another $2 million to study downtown Detroit transit improvements as part of $65 million in transportation grants.
Delta unveils its upgraded business class. Take a look.
The new Delta One business class rolls out next year.
7 exercises an orthopedic surgeon recommends for healthy knees
These simple moves can help protect and strengthen your knees.
Elevance Health takes aim at hospital billing, out-of-network care
Elevance Health has gotten aggressive about cost containment.
Hochul and Blakeman trade barbs in only governor debate
The candidates clashed over immigration enforcement, utility costs, crime and more.
Science Hill sweeps Tribe to claim Region 1-AAA title
Dobyns-Bennett's volleyball team brought the same fight that pushed Science Hill to the limit last week, but this time, the Lady Indians were missing a key cog in their lineup.
Science Hill sweeps Tribe to claim Region 1-AAA title
Dobyns-Bennett's volleyball team brought the same fight that pushed Science Hill to the limit last week, but this time, the Lady Indians were missing a key cog in their lineup.
The 6 Best Science Fantasy Books Released Since 2010, Ranked
From The Fifth Season to Gideon the Ninth, these science fantasy novels fuse magic, technology, and unforgettable ideas.
Did Illinois’ mental health safety net fail? Rep. LaPointe responds to 7-year-old's stabbing death
The suspect charged in the murder of 7-year-old Eddimar Hernandez Chacon had a history of violent arrests and years of unaddressed psychiatric crises, according to her public defender. Former social worker and Illinois State Representative Lindsey LaPointe (D-19) breaks down why families struggle to access emergency care, current legal avenues, and what Springfield must do to build sustainable, community-based care before tragedy strikes.
National Compute Grid Launches to Pool Idle AI Capacity Across Providers
For all the talk about a shortage of AI computing power, and the need for more powerful chips and bigger data centers, there’s another side to the story. A significant amount of existing capacity isn’t being used. While tech companies race to build massive new data centers, expensive GPUs in other facilities can sit idle […]
Nvidia RTX 5090 Reportedly Dead, but It's So Expensive That It Doesn't Really Matter
While the RTX 5090 was already hard enough to get at a reasonable price, new leaks suggest that Nvidia is flat-out discontinuing its flagship graphics card.
Student group screens documentary to raise awareness of women’s health
At a Sunday evening film screening hosted by the Yale Student Film Festival, the stories of seven diverse women living with endometriosis came to life and called attention to the daily struggles that come with the condition.
How Unilever tailors AI focus to business outcomes
“AI loves context, context loves data, that’s where we start,” said Allen Bates, SVP, chief digital and information officer, Unilever North America.
More students are ruling out colleges based on politics, poll finds
Art & Science Group found that the share of students who decided against a college based entirely on its home state’s politics rose to 34% this summer.
AI behaves more like a brain than a database – cognitive science’s role in its origin story helps explain why
When people think about what ChatGPT or other large language models are doing behind the scenes, it’s common to reach for the language of computing. You might assume there is
North Dakota health insurance premiums set to rise in 2027
Insurance commissioner says rising health care costs are driving the increases
The Beef Industry Knew: Cattle Trade Group Knew Cows Warmed the Planet Since 1989. It Tried to Bury the Science
Newly examined records reveal how the cattle lobby tried to undermine an early climate warning.
Broadcom Is Building an AI Business Unlike Nvidia’s. Here’s My Price Prediction
Broadcom competes with Nvidia without selling a single GPU to the general market, and that unusual strategy has locked in hyperscaler contracts stretching years into the future. Whether the stock has already priced in that advantage is the question worth answering.