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Why Nancy Cartwright Says Science Has No Fundamental Laws
Nancy Cartwright argues science has no fundamental or universal laws, only local truths held together by nomological machines built for specific contexts.
KENS 5: Your San Antonio News Source
Welcome to the official YouTube channel of San Antonio's Own KENS 5. Follow @KENS5 on your favorite social media channels. Download KENS 5+ on your TV to stream live newscast and watch special local programs for free! Email your photos, videos and news tips to news@kens5.com or text them to 210-366-0020.
AI recommended your brand. Did it get your business right?
Marketers must evaluate the accuracy, context and destination of AI recommendations rather than relying solely on visibility metrics.
Amazon Discounts New Mac Mini by Up to $149, Mac Studio by $200
Amazon has Apple's brand new Mac mini for up to $149 off this weekend, with deals focused on the M6 Mac mini this time around. You'll also find $200 off the M5 Max Mac Studio below. Note: MacRumors is an affiliate partner with some of these vendors. When you click a link and make a purchase, we may receive a small payment, which helps us keep the site running. One of the best deals is on the M5 Max Mac Studio with 36GB RAM and a 512GB SSD, on sale for $2,299.00, down from $2,499.00.
Bad interpretation of the Bible creates stupid conflicts between science and religion. (It’s poetry, not a textbook.)
Scripture functions best when it stays in its lane. The authors of the Christian scriptures were writing the gospel. The gospel was meant to be “good news” for all, not bad news for most. But somehow…
Starz Entertainment LLC (STRZ) Restores STARZ on Verizon Fios Under New Distribution Deal
Starz Entertainment LLC reached a new distribution agreement with Verizon Fios, restoring all STARZ channels, STARZ On Demand and the STARZ app for Fios subscribers.Material DetailsContext by AI AnalystThis is a mid-cycle distribution recovery, reinstating a key MVPD partner after prior carriage lo…
Five Iron Golf Launches Five Iron Lounge, a New Licensing Platform for Hospitality and Entertainment Venues
BrewDog named inaugural licensing partner, with first Five Iron Lounge planned for Las Vegas NEW YORK — Five Iron Golf...
How effective are political texts?
Goldberg said most people don’t even bother to interact with them.
What is the star button for on your Roku remote?
Every button on y our Roku remote has a self-evident purpose except for the star button. What it does depends on the current context.
AMC Entertainment Holdings (AMC) Could Be 24% Undervalued Following Its New Mobile Game
AMC Entertainment Holdings (AMC) just moved into mobile gaming with its AMC Movie Trivia Game Show, a free puzzle app tied into the AMC Stubs loyalty program and developed in partnership with Hoyt Games and David L. Hoyt. For context, AMC Entertainment Holdings has seen strong recent share price momentum, with a 30-day share price return of 24.39%, a 90-day share price return of 47.83%, and a year-to-date share price return of 90.06% at a latest share price of $3.06. That short term strength...
Google reminds Android users of an overlooked scam detection tool
Circle to Search can help identify scam texts using AI Overviews, while Google Lens brings the same protection to more phones.
Ahead of the midterms, Alaskans’ phones are blowing up with political calls and texts
The messages are a cheap, easy way to fundraise, get out the vote and collect data, but some people are exhausted by the constant messaging.
Behind the factory walls: accountability failures in the global textile industry - Business and Human Rights Centre
Check out this page via the Business and Human Rights Centre
CBS19
CBS19 News is available on-demand with the CBS19+ app! Download it for free on ROKU, Amazon Fire, Apple TV or any smart TV! MORE: https://www.cbs19.tv/article/news/local/cbs19-for-roku-fire-tv-and-apple-tv/501-031d61c8-77c4-4ad9-997e-0f9544d2bfdd Text us: (903) 600-2600 Visit our website: www.CBS19.tv "Like" us on Facebook: https://www.facebook.com/kytxcbs19 Follow us on X: https://twitter.com/kytxcbs19
29 New Changes in the Zelda: Ocarina of Time Remake — Redesigned Puzzles, Updated Miniboss Fights, and Deeper Dialogue
I played more than an hour of The Legend of Zelda: Ocarina of Time on Switch 2, and as someone who’s finished the original several times, I noticed a lot of small changes that shine some light on the thought process behind recreating this adventure. It seems everything was on the table when considering what to tweak: altered puzzles more closely fit the modern controls, redesigned miniboss fights spice things up across each round, and new shortcuts and context clues make navigation more intuitive.
How to teach graph skills in science lessons
Translate graph skills into a science context with these teacher-tested tips
Elanco, Purdue planning research institute at One Health Innovation District
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Google experiments with an AI-powered gaming platform
Google Labs is working on a new AI-powered game-creation platform called Playground for users to build browser-based games using simple text prompts.
Gypsy Rose Blanchard shares texts with late ex showing amicable custody agreement
The former couple welcomed daughter Aurora in December 2024.
Jessica Chastain on crafting creepy ‘Other Mommy’ and reaction to her look
Oscar winner Jessica Chastain got ‘a lot of texts’ after the first trailer for ‘Other Mommy’ — she tells EW about the reaction to it, how she crafted the role, and what she loves most about the Rob Savage movie.
What to eat for younger-looking skin
Plants, fats, and fermented foods can reduce wrinkles, boost collagen and improve the texture of our skin.
OPINION: An oligarchy is slowly taking over American politics
The United States was founded on what people call, “the American Dream.” Well, that dream is becoming harder and harder to obtain for the average American, but some seem to be unaffected. To begin, it may be helpful to define oligarchy in this context. Oligarchy, for the sake of this article, will be defined as...
Call for Abstracts — 2027 Petrie-Flom Center Annual Conference: Generative AI in Healthcare: Law & Regulation - Petrie-Flom Center
The Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School is pleased to announce our 2027 Annual Conference, Generative AI in Healthcare: Law and Regulation. Generative AI –- artificial intelligence designed to produce output, such as text or images, that normally require human intelligence — has become a…
Uvi raises $7.5M to help AI agents learn business context and run at eight times lower cost
Uvi raises $7.5M to help AI agents learn business context and run at eight times lower cost - SiliconANGLE
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.
Baldassarri Signs Extension With Team GoEleven For 2027 WSBK Season
Photos by Team GoEleven. Lorenzo Baldassarri has signed on for a second season with Team GoEleven, staying aboard the independent Ducati squad's Panigale V4-R in 2027 and extending a partnership that has quickly rebuilt the Italian's career. [cuttext][/cuttext] Currently sixth in the WorldSBK standings, the #34 has repaid a gamble that looked like a long shot when GoEleven signed him for 2026 to replace Andrea Iannone. “I had come from a difficult period where I lacked both confidence and result
For your health—making the switch to healthier fats
Choosing healthy fats is an important part of healthy eating. And that's good news for a lot of reasons. Fats can add flavor and great texture to foods, boosting our enjoyment. They can help us feel fuller ...
Your Voice, Your Vote: Tyler Caille, Douglas County sheriff candidate
.engage-icon { width: 40px; height: 40px; margin: 5px; padding: 4px; border: 1px; border-style: solid; border-radius: 50%; cursor: pointer; } .icon-clicked { width: 40px; height: 40px; margin: 5px; padding: 4px; border: 1px; border-style: solid; border-radius: 50%; background-color: #C5D9E2; } .engage-container { display: block; margin-left: auto; margin-right: auto; padding: 10px; text-align: center; float: center; min-height: 100px; } .success-message { font-family: Helvetica Neue,'Open Sans',Helvetica,Arial,sans-serif; font-style: italic; color: #333; } .label { font-family: Helvetica Neue,'Open Sans',Helvetica,Arial,sans-serif; color: #000000; font-size: 14px; line-height: 1.42857143; } .link-button { border-radius: 5px; border-color: #333; background-color: #C5D9E2; color:#333; align:center; max-width: 175px; margin: 5px; } .button-text { font-family: Helvetica Neue,'Open Sans',Helvetica,Arial,sans-serif; color: #000000; font-size: 14px; line-height: 1.42857143; } Copy article link Sign up for our newsletters function Copy() { var button = document.createElement('input'), text = window.location.href+'/?utm_medium=internal&utm_source=readerShare&utm_campaign=bButton'; document.body.appendChild(button); button.value = text; button.select(); document.execCommand('copy'); document.body.removeChild(button); document.getElementById('articleShareButton').innerHTML = "Link copied!" }; Trending Wenatchee house fire displaces family, 3 dogs rescued 1 dead, another injured in car fire outside East Wenatchee Delilah: From local Wenatchee singer to Latin Grammy nominee East Wenatchee standoff ends after cigarette break Spokane developer applies for 250 apartment project outside East Wenatchee
FULL SHOW: Inside INdiana Business 10/11/26
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High Console Prices Push Playstation and Xbox Sales to New Lows
Circana data found that PlayStation and Xbox console sales are hitting new lows in 2026.
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.
BiomEdit receives conditional licensure for first commercial product
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Donaldson’s Finer Chocolates celebrates 60 years
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iPhone Duo: Apple Charging $49 for New Cover Layer, $229 for Battery
We just published Apple's list of iPhone Duo repair fees for customers without AppleCare+ coverage, and we want to bring extra attention to two of the fees in particular: a new cover layer costs $49, and a replacement battery is $229. Apple's vice president of hardware engineering Kate Bergeron revealed that the iPhone Duo's nano-texture cover layer above the inner display can be removed and replaced.
IBM ties intelligent operations to agent safety and business value
IBM connects intelligent operations with agent safety, shared infrastructure context and financial oversight to help enterprises assess AI’s business value.
Kelly Clarkson slams Brooklyn store over ‘Pretty Woman’ treatment
Kelly Clarkson claims a Brooklyn store employee treated her like she couldn't afford the merchandise, comparing the experience to "Pretty Woman."
Your Voice, Your Vote: Adam Musgrove, Douglas County sheriff candidate
.engage-icon { width: 40px; height: 40px; margin: 5px; padding: 4px; border: 1px; border-style: solid; border-radius: 50%; cursor: pointer; } .icon-clicked { width: 40px; height: 40px; margin: 5px; padding: 4px; border: 1px; border-style: solid; border-radius: 50%; background-color: #C5D9E2; } .engage-container { display: block; margin-left: auto; margin-right: auto; padding: 10px; text-align: center; float: center; min-height: 100px; } .success-message { font-family: Helvetica Neue,'Open Sans',Helvetica,Arial,sans-serif; font-style: italic; color: #333; } .label { font-family: Helvetica Neue,'Open Sans',Helvetica,Arial,sans-serif; color: #000000; font-size: 14px; line-height: 1.42857143; } .link-button { border-radius: 5px; border-color: #333; background-color: #C5D9E2; color:#333; align:center; max-width: 175px; margin: 5px; } .button-text { font-family: Helvetica Neue,'Open Sans',Helvetica,Arial,sans-serif; color: #000000; font-size: 14px; line-height: 1.42857143; } Copy article link Sign up for our newsletters function Copy() { var button = document.createElement('input'), text = window.location.href+'/?utm_medium=internal&utm_source=readerShare&utm_campaign=bButton'; document.body.appendChild(button); button.value = text; button.select(); document.execCommand('copy'); document.body.removeChild(button); document.getElementById('articleShareButton').innerHTML = "Link copied!" }; Trending Wenatchee house fire displaces family, 3 dogs rescued 1 dead, another injured in car fire outside East Wenatchee Delilah: From local Wenatchee singer to Latin Grammy nominee East Wenatchee standoff ends after cigarette break Spokane developer applies for 250 apartment project outside East Wenatchee
Qlik Brings Governed Business Context and Analytics Workflows to Claude
Qlik’s MCP Server is now available through Anthropic’s Claude Directory, giving Claude users a simpler way to connect governed Qlik® data, analytical logic, and selected analytics and data workflows, so they can work with trusted business context instead of raw data alone. Key takeaways: Makes Qlik easier to discover and use inside Claude: Availability through Anthropic’s Claude Directory gives Claude users a more direct path to connect Qlik through MCP.Brings governed business context into Clau
Three Phone app features worth turning on right now
Hold Assist and Call Screening are available today, with Call Context arriving in iOS 27. Here's how each one works.
Someone ported Pixel 11’s Rambler voice-to-text to other Android phones
One of the best new features of Google’s Pixel 11 (and Googlebook) is support for Rambler voice-to-text, and it’s now...
iOS 27 adds new Phone app feature that’s an instant favorite
Out of all the various upgrades in iOS 27, one of the features that’s impressed me most is a new Phone addition: Call Context.
Pretend you're sitting at Elizabeth Holmes' desk on this weirdly detailed website
With over a thousand emails, slides, texts, and documents from the United States v. Elizabeth Holmes trial, Extend engineer Bo Lau created a website that simulates what it might have been like to rifle through the Theranos founder's desk.
This Is Why You Don't Peel Off the iPhone Duo's Matte Screen Layer
A viral video shows how the iPhone Duo's nano-texture layer makes the foldable screen much more pleasant to look at than Android foldables.
Google and Unity unveil gen-AI game-making platforms, and demonstrate one of them with depressingly rubbish "dream game" Space Corridor
It was only a matter of time. Google now lets you create simple games with AI text prompts. The Unity engine will also include text prompts and co-op creation.
These execs think voice AI hasn't reached its ChatGPT moment yet
Voice AI's often misses important points for its context layer, and causes the whole pipeline to break
Concern after Europeans endorse US science agenda
Germany’s biggest research funder has said it is “concerned” after Berlin, plus several other European countries, endorsed a controversial US-led science policy statement. On October 4, the White House announced that 16 countries, including Germany, the UK, Italy, Greece, Bulgaria, Cyprus, Poland, Japan and South Korea had backed the Kyoto Vision for a Golden Age of Science.The document, agreed on the margins of the annual Science and Technology in Society forum in Kyoto, which gathers science ministers from across the world, appears uncontroversial at first sight. It’s a one-page statement, without any concrete measures, that touches on reducing administrative burden on scientists, experimenting with new funding models and the use of “super intelligence” in science, the Trump administration’s preferred term for artificial intelligence. However, what’s controversial is that much of the language in the Kyoto Vision reflects Science: A New Golden Age, a major policy document released by the White House in July.That document attracted criticism for deriding universities as “legacy institutions” and suggesting money be diverted to new research labs. In a speech in Kyoto on October 4, Michael Kratsios, director of the White House Office for Science and Technology Policy and the report’s author, said that the US was seeking to “diversify the ways that we support research to meet our best scientists where and when they do their best work.” The worry is that the Trump administration may be using genuine dysfunctions in academia as a pretext to defund and disempower universities, which US vice president JD Vance has labelled “the enemy.” Many in Europe also want more experimentation and reform of how science is organised and funded, and agree with criticisms of academia made by Science: A New Golden Age. But some also fear that if the US pushes for reform partially in bad faith, it could politicise and undermine the whole agenda. Washington is currently trying to change federal funding rules so that political appointees can block and cancel scientific grants. It has cut grants mid-project on topics related to diversity and other politically forbidden areas. And last year, it threatened to cut Harvard University’s federal funding unless it admitted a “critical mass” of new faculty and students to create campus “viewpoint diversity.” “Particularly concerned”Because of this wider US political context, the Kyoto Vision’s otherwise innocuous sounding statement that “we encourage experimentation with new institutional models for science that provide varying levels of autonomy, resources and direction” has caused consternation in Europe, particularly from some of Germany’s biggest science organisations. A spokesperson for the German Research Foundation (DFG), the country’s biggest funder, said that it would “closely monitor whether the current US administration uses the Kyoto Vision to restructure research funding to the detriment of research institutions such as universities and their autonomy.” The DFG was “particularly concerned” with the statement’s references to Science: A New Golden Age, they continued. A spokesperson for the German Rectors’ Conference, which represents the country’s universities, said that the reference to “new institutional models” raises “questions on the underlying understanding of academic freedom and autonomy.” Research funding must “guided first and foremost by scientific not political principles,” they went on. Dampen criticismEuropean endorsement of the Kyoto Vision might dampen domestic criticism of the Trump administration’s science policy, some in the US fear, by suggesting international support. “What we saw from Germany, Japan, the UK and other countries, is an impulse that the administration has exploited with our own science reform movement, a belief they can use dialogue to make things better,” said Cole Donovan, director of science policy at the campaigning group Stand Up for Science. “In practice, the administration has done the opposite.” Not a binding statementThere’s been so much concern in Germany that the country’s federal Ministry of Research, Technology and Space put out a statement defending its endorsement of the Kyoto Vision, which it has posted on its website. Related articlesIs metascience being co-opted?European researchers sound the alarm that Trump rule changes will hit cooperationThe US ‘golden age’ science strategy: what Europeans need to know The ministry said that it “should be regarded as a basis for discussion and does not constitute a binding statement.” Backing the statement gives Germany the chance to raise “issues and concerns” with the US during upcoming talks on science and technology scheduled for November. “Although these intentions appear, in principle, to be worthy of support, they will be scrutinised and examined more closely as the process continues,” the statement continues. Super intelligence?A ministry spokesperson confirmed to Science|Business that Germany had broadly endorsed the Kyoto Vision.However, they said Berlin had not agreed to final changes in the statement to refer to AI as super intelligence. In September, facing protests against data centres and polling that suggests US citizens are far more concerned than excited by the technology, Trump issued an executive order that attempts to rebrand AI as super intelligence, following polling on social media.The name change is to “reflect the transformative capabilities of these technologies and the limitless opportunities they create for the American people,” the order says. EU askedThe UK and Italian science ministries did not respond to a request for comment on their endorsement of the Kyoto Vision. Although most EU countries did not endorse the statement, it’s not clear which states the US asked. The White House Office for Science and Technology Policy did not return a request for comment. A European Commission official, speaking under condition of anonymity, said that the US had approached the EU, but too late for the EU to quiz all its member states on whether Brussels should endorse the statement.
If You Have a "Junk Room" at Home, Science Says You Likely Share These Surprising Personality Traits
You know that room. The one where the holiday decorations share shelf space with old textbooks, a broken lamp you keep meaning to fix, and three bags of clothes destined for donation – someday. You close the door when guests come over, maybe even lock it. Most of us treat that space like a guilty...
Guns, drugs, AI, budget cuts join traditional maladies at public health forum
A daylong public health forum in Baltimore on Tuesday touched on health challenges that likely aren't found in any medical textbook: gun violence, artificial intelligence, social media and "the ravages of Washington" under the Trump administration.
FULL SHOW: Inside INdiana Business 10/18/26
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Here’s 1 way to stop some of the political texts you receive before the election
Unfortunately, you still may see the campaign ads on television no matter what.
F1 practice LIVE: Singapore Grand Prix 2026 times, results & commentary
Follow live text updates and listen to BBC Radio 5 Sports Extra commentary of the only practice session for the Singapore Grand Prix.
Microsoft is now scaling back Copilot in Windows 11 amid Microslop backlash, pulling 8 AI actions from File Explorer and calling it “simplifying”
Microsoft says it's retiring "Copilot actions" from the File Explorer context menu, which it recently began rolling out.
Roland unveils a new Jupiter-8-inspired Boutique synth in celebration of the original's 45th birthday – and drops an all-new wavetable synth too
A pint-sized take on the '80s classic, the Jupiter-08 launches alongside the N/vision, a wavetable synth that promises "rich tonalities, evolving textures and sophisticated sound design"
Plessinger Signs With Triumph For Supercross And Motocross
Photos by Triumph Racing. Aaron Plessinger is heading to Triumph, inking a two-year agreement to campaign the TF 450-X for 5.11 Triumph Factory Racing in AMA Supercross and Pro Motocross. He takes on an important role in Triumph's 450 development program for the 2027 SuperMotocross World Championship. [cuttext][/cuttext] The move ends Plessinger's five-season run with Red Bull KTM Factory Racing. For Triumph, the signing adds a proven race-winner to a program still establishing itself at the spo
Context on Trump’s controversial Lejeune water remarks
On Tuesday the president also said 'if we don’t win there is no money. If we do win you’re getting it, and it’s going to be finally over, the nightmare that’s been going on so many years.'
iPad Mini 8 Expected Next Week With These 10 New Features
Apple reportedly plans to unveil an iPad mini 8 with an OLED display next week, with those invited to Apple's Los Angeles experience on Wednesday, October 28 expected to receive hands-on time with the device, alongside MacBook Pro models with touch-enabled OLED displays, a 14-inch MacBook Pro with an M6 chip, and an iMac with an M6 chip.
Fact or fiction? Examining the claims behind North Carolina political ads
As Election Day approaches, political ads across North Carolina are making claims about candidates’ past. The Chronicle examines the claims and the context behind them.
According to Science, People Who Use Emojis in Texts Have Higher Emotional Intelligence
You probably do it without thinking. A thumbs-up after confirming dinner plans, a laughing face to soften a sarcastic remark, a heart slipped into a goodnight message. Emojis have become so woven into the way we text that most of us never stop to wonder what those tiny icons actually say about us. But researchers...
Why political texts keep coming even after you block them
George Weiner built PACspam.org to trace who sends nonstop political fundraising texts after blocking numbers repeatedly failed to stop the messages.
Maximum Entertainment AB (MAXENT_B) Funds Attached to Enforce SEK 160.9M Claim
Maximum Entertainment said the Swedish Enforcement Authority attached all funds in its SEB account to enforce an arbitration award claim totaling SEK 160,898,318 from a dispute with the sellers of Maximum Games.Material DetailsContext by AI AnalystThis is a late-stage escalation of a known arbitrat…
OPINION: Tired of political spam texts and emails? It's only going to get worse.
OPINION: Tired of political spam texts and emails? It’s only going to get worse. Read more at The Nevada Independent.
First look: A major Windows 11 Search overhaul is coming, and it changes your settings for you
At today’s Windows event, Microsoft confirmed there’s a new Windows Search coming to all PCs later this year, and it’s built from scratch. It offers faster results, and thousands of quick actions.” According to Microsoft, You’ll be able to change settings, take screenshots, arrange windows and even send a text message directly from the taskbar. “At […]
Watch: How UC Berkeley's Space Sciences Laboratory leads NASA missions like ESCAPADE
Perched high in the hills above campus, it's one of only two university-based centers in the U.S. capable of managing the entire life cycle of a satellite mission.
Netflix’s Summer of Bummer
(Welcome to the Entertainment Strategy Guy, a newsletter on the entertainment industry and business strategy. I write a weekly Streaming Ratings Report and a bi-weekly strategy column, along with occasional deep dives into other topics, like today’s article. Please subscribe.) Today, I’ve got a guest post from longtime friend of the newsletter, Brandon Katz. I’ve been trying to find time all summer to look at Netflix’s straight-to-streaming film slate, but between a pre-planned trip and Nielsen moving up their streaming data timeline, I’ve been swamped. So I reached out to Brandon, one of my favorite fellow analysts, to write about it. And I feel like he captured the tone and data focus of the newsletter perfectly. You can connect with Brandon on LinkedIn and Twitter. Enjoy! Don’t worry, folks. You’re in safe hands with me. To ease any anxieties about an interloper in ESG’s domain, I’ll start by stealing one of his best framing devices: headlines. Box office flops are covered in the same way the Teenage Mutant Ninja Turtles eye pizza: with cartoonish insatiability. I would know. I’m a former reporter who wrote nearly identical headlines: Yet, intentionally or not, streaming misses get treated with kids gloves, filtered through a rosy lens: In the last six years, U.S. streaming viewership has become nearly as transparent as the box office, but the data often arrives weeks later, in a number of less intuitive metrics, and with nary an official budget to be found. This plays into the Wall Street-whispering narratives major streamers have been cultivating for years. They get a pass in a way that theatrical studios simply don’t. Subscribe Netflix’s Summer Slate Not a single Netflix original film released between May and August this year opened above 20 million U.S. TV hours, per Nielsen. That benchmark usually serves as the EntStrategyGuy’s floor for a streaming hit on Netflix. None of these films enjoyed a hit-cementing single week of 20-plus million hours during their runs. Netflix’s two best films were true crime docs, Maternal Instinct (16.5 million hours) and The Crash (19.7 million), the best overall week for a film this summer. Great for most other streamers, but not necessarily what we’re used to seeing from Netflix. For an overly-dramatic comparison, Happy Gilmore 2 opened last summer to around 47 million hours (celebrity cameos, baby!). Zooming out, the picture looks even worse. In 2026, Netflix’s five biggest scripted summer films posted the lowest average (28.6 million hours) and median (28.8 million hours) eight-week viewership totals of the past four years. Now, it’s unrealistic and unfair to expect Netflix to deliver a _KPop Demon Hunters-_sized hit every year. But it’s also not ideal to see the size of their hits shrinking over the last few summers. Let’s quickly run through some of the notable summer misses. Jennifer Lopez and Brett Goldstein’s perfectly fine romcom, Office Romance, fell off the charts after 20 million hours in its first two weeks. Top films usually last for four-plus weeks. Starry titles ideally don’t decay that fast either. Homegrown star Millie Bobby Brown couldn’t prevent the snappy Enola Holmes franchise from diminishing returns. At 14.3 million U.S. hours, the third film posted roughly half of what the first two films did in their first two weeks. What’s on Netflix calculated that per-day global views were down nearly 60% from the second movie. The Whisper Man did okay with more than 36 million hours over its first four weeks. But I expected a little more juice from a film featuring Robert De Niro, Michelle Monaghan, and Adam Scott. Kevin Hart’s Ladies First collected just 11.2 million hours total across two weeks. That’s a big miss for one of Netflix’s go-to stars. Plopping into the same bucket are Sunny Sandler’s Don’t Say Good Luck (10.3 million in two weeks) and John Cena’s Little Brother (17.5 million). Meanwhile, English-language originals Color Book (June 19), In the Hand of Dante (June 24) and Heartstopper Forever (July 17) never sniffed Nielsen’s Top 10 at all, despite needing only 2 to 5 million hours to land in the top ten most weeks. (By my count, eleven English-language scripted original films released between May and August did chart). It’s only fair to mention that Swapped (1-May) posted nearly 42 million U.S. hours over five weeks (the longest Netflix original run this summer) and is currently their eighth most-watched English-language film ever worldwide. Remarkably Bright Creatures (37 million, 4 weeks) and Voicemails for Isabelle (27 million, 4 weeks) weren’t bombs either. Still, overall, I think it’s fair to say this was a quieter summer season than we’re used to seeing from the market-leader. You might not realize that given the language commonly used in public analysis. The Twist Despite the starkly black-and-white tone of the coverage, here’s the twist: when many box office bombs arrive on streaming, their viewership looks a whole lot like many of Netflix’s supposedly successful summer releases. Hmm, where have we heard that one before? Masters of the Universe topped out at $65 million stateside against a $170 million budget_._ I’ll admit, Skeletor ripping sleeveless curls as a gym bro and bodyslamming Adam’s co-workers was funny. But, much to the chagrin of my bank account, my laughter doesn’t launch franchises. Yet the He-Man reboot opened to 19.6 million hours (from a Wednesday five-day opening instead of just one weekend), on par with Hoppers on Disney+ (19.4 million). It put up nearly 47 million hours over its first six weeks, bigger than all of Netflix’s summer releases. Pretty darn healthy and likely to land among the 25 most-watched movies on streaming this year. Sticking with Amazon, The Sheep Detectives just barely broke even at the box office with $133 million worldwide (and only $66 million domestic). I never expected cloven-hooved, cud-chewing mammals to be able to bring me to tears. Yet that’s exactly how I found myself at the end of this surprisingly affecting movie (#NoShame). It was likely the unexpected quality in a family-friendly film that powered its streaming over-performance. Sheep Detectives delivered a solid run for Prime video netting 26.2 million hours! How about franchise IP? Star Wars: The Mandalorian & Grogu had the lowest opening ($81 million) and lowest-grossing Disney-era live-action Star Wars film ($178 million domestic). One day before release, its Heat score (19.8%)—audiences who list their interest as a 7/7—fell behind blockbusters Wicked (21%), Superman (23%), Fantastic Four: First Steps (23%), Michael (23%), Toy Story 5 (26%) and Avatar: Fire and Ash (27%), according to Greenlight Analytics. The urgent enthusiasm just wasn’t there. On streaming, Mando opened to weeks of 12.1 million, 6.1 million and 2.7 million hours (21 million total) over its first three frames. Not the numbers Lucasfilm was hoping for nor the numbers of a streaming hit. But they’re in the same vicinity as some Netflix summer releases with $345 million at the global box office to offset a smidgen of the pain. Final Thoughts So why oh why does this nuance gap exist? Four key reasons: Data Literacy: A “$100 million opening” just makes sense. After decades of box office reporting, even casual movie fans are well-versed in the benchmarks of hits and home runs. There’s an immediate shorthand. But “16.5 million” hours doesn’t land nearly as cleanly. Despite leaps of progress, the streaming ratings era is still in its infancy compared to theatrical. The EntStrategyGuy and I met thanks to a late 2010s group chat of data nerds hungry to find a shred of certainty in nebulous streaming performance. I’m not surprised to see “No. 1 on Netflix” still getting misconstrued out in the wild. Timing: By Friday morning, we have the box office’s Thursday night previews totaled, allowing us to better project the weekend’s expectations. From there, ticket sales are reported daily. By Sunday, the film’s fate is usually finalized, at least in terms of public perception. In streaming, Nielsen recently improved its delay to…two weeks. The medium isn’t forced to contend with instant gratification as harshly. Financials: Theatrical film budgets are a mere Google away. Profit and loss is calculated in the cold and unforgiving naked light of day for all to see. But finding the vast majority of streaming exclusive movie budgets requires the forensic investigation skills of a Criminal Minds detective. Also, it’s very difficult to calculate how much revenue/value a straight-to-streaming films provides a streamer. This is why there are so few stories about streaming original movies “losing X amount of money”. On top of that, marketing budgets are far greater for theatrical movies than streaming exclusive movies, which leads to earlier and better awareness. This then translates to a wider pool of potential interest. Narrative Control: Netflix is the only major streaming service to publish weekly first-hand viewership data and annual engagement reports. Naturally, some headlines borrow their first-hand framing**.** Other streamers benefit from their comparative lack of transparency. They may occasionally announce vague performance platitudes such as Apple TV’s Mayday becoming its “biggest film debut on the platform to date over its first 18 days,” and that it ranked No. 1 with left-handed viewers in its first weekend. (Fine, I made up that second one). But, for the most part, they keep first-hand viewership shrouded in mystery to avoid bad press. Especially for outlets that demand multiple articles per day from their writers, it’s an easy (and understandable) way for some reporters to hit their daily article quota by just repeating what the streamers have told them. TL:DR version: Streaming-exclusive movies are asked to do different things than theatrical movies, but that doesn’t mean they should escape judgment. Both still need to draw enough eyeballs to justify their cost within the proper performance contexts. The more cleanly we can inject a little nuance into streaming analysis, the better we’ll understand the audience and content trends that drive this industry. And that’s what all of this is really about: knowing what audiences actually want! Brandon Katz is the Director of Insights & Content Strategy at Greenlight Analytics where he focuses on evaluating the ever-fluid media landscape to unearth understanding, opportunity and value. Greenlight Analytics is the entertainment intelligence consulting company redefining how Hollywood finds, understands, and activates audiences. Prior to joining Greenlight Analytics, he served as the senior entertainment industry strategist at Parrot Analytics, and as a full-time entertainment industry reporter covering the Xs and Os of Hollywood, most notably with TheWrap and the Observer.
Is PENN Entertainment (PENN) Undervalued Following Deutsche Bank's Upgrade And NFL Partnership?
PENN Entertainment (PENN) drew fresh attention after Deutsche Bank upgraded the stock and highlighted an improved sector risk reward, while its theScore Bet unit signed a multiyear NFL betting and online casino partnership in Canada. For context, PENN Entertainment’s share price has moved sharply around these headlines, with a 5.36% 1-day share price return and 8.90% 7-day share price return, yet it is still down 20.92% on a 90-day share price basis and its 1-year total shareholder return is...
Your Voice, Your Vote: Stanley Langlow, Chelan County sheriff candidate
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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.
Oops, Apple's Website Just Hinted at iPad Mini 8
Apple has an unreleased iPad mini Smart Folio listed on its French regulatory website, hinting that a new iPad mini is coming. The case's A3632 model number doesn't match current or past iPad mini cases. Apple appears to have added the case to its website recently, and it's listed alongside iPhone 18 Pro accessories added in September. The listing doesn't include any iPad mini specs, but it does suggest design changes to the device it's meant for.
Health Without Compromise
At IFT FIRST, experts share how food and ingredient companies are meeting demand for healthier products without compromising taste, texture, or value.
‘There’s no way to stop them’: How campaigns and PACs get away with nonstop texting
Both parties purchase data to build a voter file with info like cell phone numbers. That means there's almost no way to stop the texts.
BBB warns voters about political text scams ahead of election
With the statewide general election just weeks away, political texts and phone calls are likely to ramp up -- and some could be scams.
PD Editorial: Texts about Sonoma County business belong to the public, not the trash folder
Supervisors wave away concerns, insisting the texts are mostly trivial. They should aspire to be better.
New Google Messages Feature: Circle to Search a Message to See if It's a Scam
Google Messages now lets you use Circle to Search to instantly scan text messages for red flags and potential scams.
World Food Championship returns this week
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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.
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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
How governments worldwide are shaping what AI can say about politics
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Mammoth Solar projects begin commercial operation in northwest Indiana
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Beyond the textbook: Bringing real science into the classroom
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Apple Expected to Release New Products on Next Four Fridays
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This pediatrician never thought he’d see measles. Now, he treats it every day.
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The Human Advantage Conference 2026: Navigating a complex world through Behavioural Science, AI and Human Intelligence
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