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Raskin named Goizueta Foundation Professor of Chemical and Environmental Engineering
Lutgarde Raskin, a scientist who is globally recognized for introducing tools of molecular biology to the field of environmental engineering, joined the Yale faculty in 2026.
Shaker Heights lists two century-old train stations for sale after a decade of vacancy
The historic Coventry Station and the Lynnfield Station hit the market on Oct. 9 without an asking price.
Brandi Glanville is ‘taking my face off’ to undergo ‘power wash’ under her skin, as health battle continues
The former Bravo star has been chronicling her facial disfigurement since 2023.
Raskin happy at Rangers but unsure about January
Belgium midfielder Nicolas Raskin is "really happy" at Rangers but is unsure what might happen in January.
Poll: Low-information voters have turned hardest against Trump and the GOP
In 2024, the voters who knew the least about politics were some of Donald Trump’s strongest supporters. A Data for Progress poll released just before the election found Americans who didn’t consume any news at all said they’d vote for Trump over Kamala Harris by a 20-point margin, 60%1 to 40%. In February, we reported that many of these voters had soured on Trump. Voters who couldn’t name the party in control of Congress moved away from Trump at about twice the rate as high-information voters. But approval isn’t vote choice. With the midterms less than two weeks away, it is worth asking if these voters are turning against the president’s party in federal elections, too. In our October Strength In Numbers/Verasight poll, conducted Oct. 13–19 among 2,028 U.S. adults, we asked respondents two factual questions about politics: which party has the most members in the House, and which has the most members in the Senate. I classified anyone who got at least one of these questions wrong as “low-knowledge.” About 30% of adults miss at least one question, including 25% of 2024 Trump voters, 22% of Harris voters, and more than half of people who didn’t vote in 2024. In this article, I do two things with this data. First, I repeat my February analysis and compare how these two groups feel about Trump’s job as president; then I look at each group’s voting behavior in the upcoming House midterms. Register for free to read the rest of this piece.
Gasperini requests two signings in January
January is approaching, when the transfer window reopens, and Gasperini is asking Roma for reinforcements. Sporting director D’Amico has confirmed that something will likely happen. According to Tut...
Nurses at four Endeavor Health hospitals seek to join Teamsters
Nurses at Evanston Hospital and three other Endeavor Health facilities across the North Shore are officially seeking to unionize. Teamsters Local 734 filed a petition — covering more than 2,000 nurses at the Evanston, Skokie, Glenbrook and Highland Park hospitals — with the National Labor Relations Board on Thursday asking for a union election. Nurses...
Pomegranate for skin health: exploring nature's potential
Despite pomegranate’s long history as both a food and a traditional remedy, consumers in today’s nutricosmetics market are seeking indisputable evidence of its efficacy
Breakthrough vaccine for the deadliest skin cancer cut risk by almost half
The skin cancer vaccine is based on mRNA technology that helped end the coronavirus pandemic.
Christy Turlington says she 'will never alter or augment' her face; instead, she uses this science-backed skin care line
"I feel like I’ve earned and deserve better care when it comes to my skin," she told Vogue.
The subtle ways a lack of vitamin D affects you
As winter approaches in the northern hemisphere and the days get darker, our bodies are suffering more than we realise. We need sunlight on our skin to produce the vital vitamin D, which is important for bone and muscle health and immune function, but there’s just not enough strength in the sun at this time of year to do it.
Helen Haines vigil sparks calls for greater safety for women in politics
Community gathers in Wodonga to show support after alleged attack, with many expressing shock and asking 'why Helen?'
Proposed business district would put the Arts District’s future in property owners’ hands
The once-niche creative refuge of Downtown Las Vegas has transformed into a busy local hangout, but the neighborhood’s business owners, residents and artists are asking a familiar question: Is this place still for us?
Airbnb cracks down on checkout chore lists as hosts face new limits
Airbnb's new checkout rules bar hosts from asking guests to strip beds, wash dishes or do laundry, but some reasonable requests are still allowed.
SonicFox Reminds Everyone They're Based, Backing Out Of A Gaming Convention Over An AI-Generated Promo
Ninjutsu Entertainment posted a video asking SonicFox to reconsider their decision
Trump administration wants to reconsider permit for Massachusetts offshore wind project
The Trump administration is asking a federal judge to let it reconsider a major federal permit granted for a large offshore wind farm, making it the fourth project the Republican
Shreveport police seek help identifying suspect in Coburn Supply burglary
Shreveport police are asking for the public’s help identifying a suspect caught on surveillance video breaking into a local business.
New Sphere project faces crucial PG County vote
Officials, residents and labor groups are asking whether the costs of a proposed Sphere theater at National Harbor outweigh the benefits.
Cherokee Nation commits $470,000 to UCLA filmmaking exchange
Cherokee Nation has committed $470,000 over four years to a partnership with the UCLA School of Theater, Film and Television that will support an annual filmmaking exchange, Cherokee‑language media production and student training. Principal Chief Chuck Hoskin Jr. and Deputy Chief Bryan Warner joined tribal leaders and UCLA film school officials in Los Angeles on […]
2026 Health Care Congressional Voter Guide
At NC Health News, we care about you and your family’s health and we think our elected officials should too. We started in September to reach out to all of North Carolina’s Congressional candidates asking them to answer a series of questions about health care issues that you care about: Social Security, Medicare and Medicaid, […]
Could Your Employees Be the Next Owners of Your Business?
A business owner ready to sell may start by asking who would pay the highest price. A competitor? A private equity firm? A family member? There is another
NMSU professors collaborate on $1.2 million NASA grant
American third grade classrooms are filled with natural-born scientists – children obsessed with asking why and treating the world as an open-ended laboratory. But as they cross the threshold into...
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.
Intermountain Health Lutheran Breast Care Center Earns Re-accreditation
Intermountain Health Lutheran Hospital Breast Care Center in Wheat Ridge has been re-accredited under the American College of Surgeons (ACS) National Accreditation Program for Breast Centers (NAPBC).Breast cancer is the most common cancer diagnosed in women in the United States after skin cancers. Programs accredited by the NAPBC follow a model ...
Xbox Reportedly Emailing Users To Trade In Consoles At Best Buy
The email supposedly opens by asking Xbox Series owners, 'Haven't played on your console in a while?'
Alexander Skarsgard, Please Stop Dressing Like a Mob Wife
As part of his press tour for the new Olivia Colman movie ‘Wicker,’ Alexander Skarsgard has been making some very questionable fashion choices. Namely, he’s been dressing like a mob wife. Here, why we’re politely asking him to stop.
Police trying to identify man in connection with UTV stolen from business
Harrisburg Police are asking for the public’s help in identifying a man in connection with a theft investigation.
China’s Ultimate Political Survivor Just Fell. What That Says About Xi’s Rule.
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One of three Jensen Huang-signed RTX Spark laptops won at NVIDIA launch event is already listed for $17,150
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Utah Jazz Are Asking the Wrong Question About Ace Bailey
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Smart TV owners have found a new use for AI: Removing home-screen clutter
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Six years of SQMS: asking what limits quantum systems and building the answers
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EasyTone Lab Introduces Science-Led Supplement Lineup for Everyday Wellness
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Meghan McCain fires back at ‘View’ star Joy Behar’s ‘mean girls’ remark about past cohosts
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9 years ago, gun violence took my father. Today, Ohio political silence is costing more lives
Candidates are asking for votes. Speeches are being given. Promises are being made. But where are the conversations about firearm deaths? Where are the discussions about protecting children from their leading cause of death?
OBIC Business Consultants (TSE:4733) Stock Could Be 23% Overvalued On Cash Flow
OBIC Business Consultants has delivered a strong share price run in recent years, which naturally raises a question about what investors are paying for its underlying cash flows today. With a Discounted Cash Flow (DCF) estimate available, the focus shifts to how its current price lines up with the cash the business is expected to generate over time. Over the past 5 years the stock has returned 78.1%. Anyone looking at OBIC Business Consultants now is effectively asking whether that kind of...
BUTCH’S BLOG: Unhealthy Health Care
Unhealthy Health Care Lately I’ve had to deal with some health problems—skin carcinomas to be precise. Too much sunning in my youth on the waves and beaches of New Jersey. My mother used to slather us with Coppertone. Wear hats, I say. And use that high SPF sunscreen. But for me, the horse is already way out of the barn. I’ve had two surgeries now, painful, but successful, one more to go. But I’m not here to whine. I’m lucky. I will survive. And, importantly, I have health insurance. Many are not so lucky. When the bill came from the clinic,...
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Philly Mom and Young Son Turn His Eczema Into a Skincare Business
A bedtime story sparked Soak & Soothe Co., whose fragrance-free bath bombs with toys inside now sell at local markets, online and wholesale.
Battlefield 6 devs to fix "Secuty" skin typo, but five-pistol outfit was intentional
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‘The Field Is Atrocious,’ ‘Risking Players’ Health’ — Super Bowl Champion, NFL Fans Rip Playing Surface in London for Jaguars-Texans Game
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Former NFL Quarterback B.J. Daniels Supports Student-Athletes with Their Mental Health Struggles, Says ‘It’s OK to Not Be OK’
“Asking for help doesn’t make you less of an athlete,” Daniels said following an event in Florida on Oct. 9
Crash blocks all lanes of Highway 501 Business
Officials are asking drivers to avoid the area of Highway 501 Business and French Collins Road in Conway due to a two-vehicle crash
Regional Science Consortium Researching Harmful Algal Blooms
If you've noticed large buoys or boats out on the bayfront and wondered what they were, you're not alone. The Regional Science Consortium is collaborating with Princeton Hydro on a research project funded by the U.S. Army Corps of Engineers to study ways to control harmful algal blooms. Dr. Jeanette Schnars, the Executive Director of the Regional Science Consortium, explained the goal of the research."We are researching different ways to control blue-green algae, which creates harmful algal blooms and releases toxins," Dr. Schnars said.The project aims to identify potential techniques for controlling harmful algal blooms in Presque Isle Bay.Schnars explained that people may notice circular floats in the water near Perry's Landing and Liberty Park. Those floats are part of the testing process."You might see a circular float, almost like a hula hoop, that is out in the bay, near Perry's Landing and Liberty Park area, and those limn corrals go all the way to the bottom. And what we will do are some treatments within the limn corral in the bottom," Schnars said.After samples are collected, they are brought back to the laboratory at the Tom Ridge Environmental Center for analysis."A lot of those samples are coming back here. We are going to test them for the harmful algal bloom toxins before, during, and after, and see how effective the testing was," Schnars said.Sarah Magyan, an aquatic biologist with the Regional Science Consortium, explained that the team also collects samples from locations throughout the region."We pull samples every week from 30 different sites, and then we bring those back here, we preserve them and run them through the ELISA test," Magyan said.Schnars said researchers hope the results will help them develop effective ways to reduce harmful algal blooms in the future."If we can do some treatments over space and time in upcoming seasons, we may be able to reduce the number of harmful algal blooms we have in this area," Schnars said.The research is also important for public and animal safety. Magyan explained that toxins produced by certain algae can affect the skin, nervous system or liver.While toxin levels may be low for people, she emphasized the importance of protecting pets that swim in local waterways."Toxins can either be skin toxins, nerve toxins, or liver toxins. While we have low levels for people, it is important that we are keeping our pets safe because we recreate with our animals in the water, and we see hundreds and hundreds of dogs on Presque Isle and the rest of the shoreline," Magyan said.Testing began in September, and Schnars said researchers expect to conduct at least another six to eight weeks of testing to better understand the effectiveness of the treatments.
Scientists discover that male and female skin play by different rules
Scientists have uncovered a surprising difference in how male and female skin repairs and renews itself. By tracking individual skin stem cells in living mice for five months, researchers discovered that female cells work together in a highly coordinated way, while male cells operate more independently. This synchronization, driven by sex hormones, helps explain why wounds heal faster in female mice, especially during the first few days.
Political cartoons for October 17
Saturday’s political cartoons include masking mandate, the press secretary, and more
How Light Rewrites Skin Biology: New Research Moves Beyond Sunburn Science
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Customers Kept Asking Vivian Tu for Help. She Turned Their Questions Into a Business
Vivian Tu turned recurring questions from her audience into Ask Dolly, showing how founders can turn customers’ unmet needs into a business.
State health department recommends annual flu and COVID-19 vaccines
With flu season officially underway, the state has issued a standing recommendation asking all health care providers to follow American Medical Association information on vaccines and when patients…
Super Smash Bros. Player Mew2King Banned From Tournament After Bug Bites Spark Health Concerns
Professional Super Smash Bros. player Jason ‘Mew2King’ Zimmerman has been banned from a competitive tournament after posting photos of his concerning skin condition and complaining of a bug infestation in his home.
Super Smash Bros. Player Mew2King Banned From Tournament After Bug Bites Spark Health Concerns
Professional Super Smash Bros. player Jason ‘Mew2King’ Zimmerman has been banned from a competitive tournament after posting photos of his concerning skin condition and complaining of a bug infestation in his home.
The best Amazon deals this weekend: Score big brands like Yeti, Lego, Apple and more for up to 70% off
We found fabulous fall discounts on everything from kitchenware and vacuums to holiday gifts, headphones, skin care and more.
Park Tower penthouse once asking $15M heads to auction with bids starting around $3M
The auction is more evidence that the penthouse condo market is looking for where prices should be.
Auburn Faces Difficult Decision at Center After Cole Best's Struggles
Auburn football faces questions at center after Cole Best struggled against Tennessee. Ahead of facing No. 1 Georgia, Alex Golesh could evaluate Kail Ellis, Cole Skinner and Kenneth McManus as offensive line alternatives, though a starting change appears unlikely this week.
Trump administration sues California to block counting of alleged noncitizen mail ballots
The Trump administration sued California election officials Thursday, asking a judge to bar the state from counting mail-in ballots for next month's midterm elections from people the federal government has identified as “likely” noncitizens until their status can be confirmed.
US Justice Dept sues California to block votes from alleged noncitizens
By Andrew Goudsward and Luc Cohen WASHINGTON, Oct 15 (Reuters) - The US Justice Department sued California on Thursday, asking a federal judge to block the state from counting mail
DOJ sues California to block votes from alleged noncitizens
By Andrew Goudsward and Luc Cohen WASHINGTON, Oct 15 (Reuters) - The US Justice Department sued California on Thursday, asking a federal judge to block the state from counting mail
DOJ sues California to block votes from alleged non-citizens
WASHINGTON, Oct 15 (Reuters) - The US Justice Department on Thursday sued California, asking a federal judge to block the state from counting mail ballots for the November midterm elections
The problem with Katie Zacharia calling herself a lawyer
Two watchdog groups filed complaints with the California bar, asking it to investigate whether she violated the law by calling herself a lawyer.
GTA 6 Will Make The Game Awards Cutoff Date for Eligibility by the Skin of Its Teeth, Confirming It Has a Chance at 2026 Game of the Year
GTA 6 is officially in with a chance of winning the 2026 Game of the Year award at this year’s The Game Awards, after the show confirmed the cutoff date for eligibility.
Why the LDS Church can wade into abortion politics — and even donate money — without risking its tax-exempt status
Here’s why the LDS and Catholic churches can weigh in on abortion politics without fear of repercussions from the IRS.
Computational Models as Liminal Models in Neuroscience, a Cognitive Science Speaker Series Presentation | Events
Speaker: Danielle Williams, Ph.D. Title: Computational Models as Liminal Models in Neuroscience Short Bio: Danielle is a philosopher of mind and science whose research examines the role of computation in our theories and explanations of the mind and brain. Her work brings together philosophy of mind, cognitive science, neuroscience, and artificial intelligence, with particular interests in computational theories of mind, computational modeling, and the relationship between different explanatory and modeling strategies in the mind sciences. She also investigates philosophical questions raised by contemporary AI, including the nature of opacity in computational models and its implications for explanation in cognitive science. Alongside this work, she is a historian of cognitive science and AI, examining how the development of computer technology has shaped our conceptions and models of the mind and brain. Abstract: Scientists rely on various types of models to make sense of their phenomena of interest. This has led philosophers to take up a range of semantic, ontological, and epistemological questions about how models represent, what kinds of things models are, what we learn from models, and how they explain. One type of model that has been of particular interest to philosophers is the computational model. Computational models are commonplace in the mind sciences in general and neuroscience in particular, with many asking how computational modeling can help us understand the nervous system and its contribution to cognition and behavior. These questions are particularly pressing in neuroscience, as computational models have become a dominant framework for making sense of cognition. Thus, old questions about model-based science have re-emerged within the context of neuroscience, with many philosophers looking to established frameworks to understand how computational models represent, explain, and contribute to theory development in neuroscience. These established frameworks, however, characterize computational models as a homogeneous type which cannot capture actual modeling practices in neuroscience. In this talk, I argue that computational models in neuroscience are best typed as a kind of liminal model, a type I introduce to capture how the status of a computational model is determined by the epistemic context in which it is deployed. Indeed, the category to which a computational model belongs shifts according to the role it plays within a given context. ASL-English interpreters have been requested. Light refreshments will be provided.
Your Business Probably Has More Data Than Insight by Nathan Tayloe
Most businesses know more about themselves than they ever have. Leaders have access to financial reports, sales pipelines, customer data, employee metrics, website analytics, and dashboards for almost every part of the organization. CRMs track every stage of the sales process. Marketing platforms report results in real time. AI can analyze and summarize enormous amounts of information in seconds. Yet I've sat in plenty of meetings where all of that information is available, and some of the most important questions are still surprisingly difficult to answer. What's actually working? Why are customers choosing us? Where are we losing opportunities? What should we do differently? Having the data and understanding what it means are two very different things. More Information Doesn't Always Create More Clarity Over the past decade, businesses have invested heavily in visibility, and that's a good thing. We can understand performance with a level of detail that would have been unimaginable not long ago. But there's an unintended consequence. The easier something becomes to measure, the easier it is to assume it must be important. Website traffic goes up, so that looks positive. Leads increase, so marketing appears to be working. Sales activity climbs, so the pipeline looks healthy. Maybe. The numbers tell us what happened. Understanding why it happened, whether it matters, and what we should do next still requires judgment. Not Everything That Matters Fits on a Dashboard Consider a customer who ultimately contacts your company through Google. The data may attribute that lead to search. What it may not show is that the customer heard about you from a colleague six months earlier, saw your company mentioned in an industry publication, followed one of your employees on LinkedIn, and read several reviews before finally searching for your company. Google may have produced the click. It didn't necessarily create the decision. This happens throughout a business. Some of the things that matter most are difficult to reduce to a single metric: Why your best customers stay Why talented employees choose your company Why a prospect trusts one provider over another Why one service is gaining momentum while another isn't Why the market perceives your business the way it does Data can help answer those questions, but it needs context. Better Decisions Start With Better Questions One of the easiest traps for leaders is starting with the information in front of them rather than the decision they're trying to make. Instead of opening a dashboard and asking, "What does the data show?" it can be more useful to start with a different set of questions: What are we trying to understand? What decision are we trying to make? What would we need to know to make that decision confidently? That changes the role of data. Instead of looking at every number available and searching for meaning, you're using information to understand something specific about the business. Information Still Requires Judgment More sophisticated analytics and AI will continue to give leaders access to better information, faster. That's valuable, but I don't think it reduces the importance of experience and judgment. If anything, it increases it. Someone still has to decide which numbers deserve attention, which patterns matter, what context might be missing, and when the data isn't telling the whole story. The goal isn't to know more about your business simply because you can. It's to understand your business well enough to make better decisions. Good data can tell you what happened. Good leadership has to decide what it means. — Learn more about how we help organizations turn business, customer, and marketing insights into smarter strategies at tayloegray.com, or reach out directly at nathan@tayloegray.com.
After Guilfoyle dismissal, Rubio reminds diplomats to ‘avoid conflicts of interest’
The former U.S. ambassador to Greece was accused of a variety of ethical violations, including asking a political donor for $100,000 to pay her personal American Express bill.
Supreme Court Again Sides With Republicans in Political TV Ad Fight
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Hilary Swank, 52, pregnant with third baby
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Chick-fil-A CEO slammed over evasive answer about LGBTQ rights during “Today” interview
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Microsoft is considering making Fallout, The Elder Scrolls, and even Minecraft Xbox console exclusive
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Downtown Gloversville businesses to be highlighted on Small Business Saturday
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Newman Regional Health begins community survey, prepares for Wave of Light remembrance ceremony
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Gaskin: White Stadium could hurt local businesses
White Stadium will create economic activity. The question is whether the surrounding businesses will participate in it — or pay part of the price for making the transportation plan work.
Galderma to Buy ZO Skin Health for $1.5 Billion
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Padres All-Star Reliever Makes Feelings Clear About Free Agency
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An 194-Year-Old Tortoise Named Jonathan Is an Anti-Aging Marvel—and We Finally Know His Secret
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The Sometimes-Awkward Art of Asking for a Second Opinion
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Michigan State biologist to discuss science behind bird color
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How worried should Catholics be about the pope’s health?
Pope Leo XIV announced on Sunday that he will undergo surgery this week to remove a “nodule” from his lung. The pope made the announcement at the end of his Sunday Angelus address, asking for prayers. “Dear all, recently, during some checkups, the doctors discovered a nodule in my lung. It was detected at a very early stage and was well-localized,” Leo said. “The doctors felt it was necessary to intervene, and so, following their advice, I decided to have surgery to remove it. The procedure is already scheduled for the next few days. I thank you for your spiritual support and I entrust myself to your prayers.” The Vatican press office subsequently added that Leo is scheduled to undergo surgery at the Gamelli hospital on Tuesday, Oct. 13. The pope is expected to spend up to a week in the Gamelli recovering, after which, for the moment, he is still expected to undertake his largest and longest to-date Apostolic journey, heading to Argentina, Uruguay, and Peru, beginning Nov. 6. Prayers have, understandably, poured in from dioceses around the world, accompanied by the best wishes of heads of state and international institutions. So how worried should Catholics be for the health of the pope? The Vatican’s messaging around Leo’s pending surgery is, in many ways, a new approach to papal health issues. But, despite the pope’s personal candour, the Holy See’s messaging perhaps raises as many questions as it answers. Subscribe — Leo’s decision to announce his own medical status and pending hospital stay during the Sunday Angelus is, it should be said, already something of a big deal. Traditionally, the health of popes simply hasn’t been discussed publicly or officially, until circumstances made it absolutely necessary. Memorably, in 2023 Pope Francis was rushed to the Gemelli in an ambulance, exhibiting signs of cardiac arrest according to many close to him, only for the Sala Stampa to put out a statement insisting he was merely going in for “pre-scheduled” tests. That Pope Leo has decided to announce his condition himself, with remarkable frankness, is a significant comms policy shift around the Apostolic Palace. This might reflect a deliberately more open posture, as opposed to the traditional, otiose evasiveness, and the first fruits of an American pope and American prefect of the Dicastery for Communications favoring honesty as a baseline. Equally, it must be allowed, it could be that the pope’s situation is serious enough that there would be no keeping it under wraps or playing it off, and the decision was made to be as open as possible to head off speculation about the papal health. Certainly, Leo appeared to make every effort to sound reassuring — stressing that, whatever the diagnosis is, exactly, it is “well-localized” and “early stage.” Of course, for everyone listening, talk of a “nodule” in a lung will immediately send thoughts — and prayers — running to concerns about words not used, like “cancer,” “tumor,” “begnin” or “malignant.” To be clear, none of those words may yet be medically appropriate. And there is every reason to believe and assume that Leo is giving almost as much information as he may have himself at this stage. But the context of the pope’s announcement and the timing of his surgery do reasonably raise reasonably serious concerns for Leo. We don’t know, and this isn’t to say anyone has the right to expect to know, when the routine medical checks made this discovery. It could have been last week, last month, or even earlier. As such, it isn’t really possible to say with what kind of urgency Leo is being brought in for surgery. However, there is clearly some serious urgency to the matter. Leo making the announcement and going into hospital this week, of all weeks, means he is having to miss the balance and conclusion of his global meeting of the heads of the world’s bishops conferences, which he convened in Rome this week. That, as the Vatican has announced, has meant some serious changes to the schedule, with the newly minted dean of the College of Cardinals, Cardinal Tagle, subbing in for the closing Mass on Wednesday, and the meeting’s organizers announcing that the final working document/summary of the meeting being delayed until Leo can read and feed into it. Those changes suggest that the timing of Leo’s surgery isn’t of his own choosing, and he is acting on the best medical advice he can get by moving urgently. Had this issue been discovered weeks ago, it seems reasonable to assume the pope would have seen it dealt with before the meeting began. And were it possible to delay it, even by a few days to allow the meeting to conclude as scheduled, the expectation would surely be he’d have opted for that. It cannot be excluded that Leo is simply having to fit in with the schedules of his medical team, but a man who occupies arguably the most important and prominent role in Italy, if not Western Europe, could generally be assumed to be the one whose calendar others work around. All this points to a very recent medical discovery leading to a “days matter” diagnosis, or at least suspected possible diagnosis. Of course, another factor weighing in the balance is Leo’s upcoming apostolic visit to three South American countries, including a return to Peru, where he spent many years as a priest and bishop. It is entirely possible that the doctors, and the pope himself, are more concerned about the potential knock-on effects of surgery, and the time needed for recovery, for a 71-year-old — even one as physically sound and actively sporty as Leo. The pope is due to depart Rome November 6 for his 10-day three-country trip, returning on Nov. 17. It may be that Leo has simply made the decision to allow maximum time for his own post-op recovery, and even allow for potentially unforeseen circumstances, so that he is at full strength for the landmark trip. While it might be an inconvenience, and clearly a last-minute wrench in the works for the Amoris meeting, it is possible that Leo simply weighs the importance of that conference more lightly in the balance than even the possibility of missing his homecoming trip to Peru, or even having to scale back his itinerary for the trip. If that is the case, it would suggest a real abundance of caution by the pope approaching his Latin American tour, and a sobering indication of where Leo ranks the non-synodal meeting currently underway in Rome. In any event, what can be said for certain is that the pope having to take this, of all weeks, out of his schedule for surgery and an extended hospital stay is extremely unfortunate timing. It is clear that this is a decision Leo has made on the advice of his doctors. Together, they clearly consider that the risks of delaying, even by a little as a few days, represents an unacceptable risk for the pope. Even expecting and allowing for Leo’s full and speedy recovery, that should be a very sobering thought for Catholics everywhere. Subscribe
Trump says he’s ‘looking at’ firing Kimberly Guilfoyle from Athens post
Ambassador Guilfoyle, who is accused of asking a donor to pay her personal American Express bill, can be removed without congressional approval or a finding of misconduct.
Whitestown seeks guidance from state over audit
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UA Little Rock students explore the future through new artificial intelligence degree
From asking a chatbot a question to encountering facial recognition technology or riding in a self-driving car, today’s students are interacting with artificial intelligence in more ways than ever before. Students in the University of Arkansas at Little Rock’s new Bachelor of Science in Artificial Intelligence want to do more than simply use AI. They ... UA Little Rock students explore the future through new artificial intelligence degree
Alex Gibney’s ‘Musk’ has already gotten under Elon Musk’s skin. It goes nationwide this week
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Maria Lekkakos and Marc Harris Build Beyond the Beauty Business
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Pat Fitzgerald Sends Emotional Message to Michigan State Fans
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CVS Health (CVS) Stock Looks Reasonable On Fresh Vaccine Access News
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GTA 6 Leaker Threatens Rockstar With Doomsday Scenario If Meme Coin Hits $30 Million
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New Atrium Health program causing controversy
The State Treasurer's Office is asking a judge to put a hold on a new Atrium Health program.
New Atrium Health program causing controversy
The State Treasurer's Office is asking a judge to put a hold on a new Atrium Health program.
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