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Gratitude and honor
Louis Campos, who works in the facilities electrical department, installs new ground lights on the Northeastern Veterans Memorial in preparation for the upcoming Veterans Day ceremony on the Boston campus.
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.
Virtual summit addresses artificial intelligence and racial bias in health care
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Jeremy Renner’s “Mayor of Kingstown” gets final season premiere date: A first look at season 5
The Paramount+ show will return next year.
In-Person Briefing: Fixing the No Surprises Act
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KFF Tracking Poll on Health Information and Trust: Fall 2026 Update on Vaccine Views
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David Arquette brings ‘Scream’ milestone to Cedar Rapids
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Pet costume parade coming soon to NewBo City Market
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A note to readers: Science, accountability and elections
Dear readers, As early voting begins, I wanted to share some news — and why it connects to the decisions we make at the ballot box. I’ve been selected for the inaugural cohort of the South Atlantic Climate Journalism Hub mentorship program, hosted by Covering Climate Now. I’m excited to join this group, learn from scientists and fellow journalists, and expand my science reporting. Science directly ties to governance. Local officials make decisions about where development goes, how infrastructure is maintained, what emergency preparations receive funding, and how communities rebuild after disasters. Understanding the evidence behind those decisions helps us evaluate whether our government is serving us well. Here in western North Carolina, those connections are all around us, in Lake Lure and beyond. Flood maps inform decisions about property and development. Engineering assessments help identify risks at dams and bridges. Rainfall forecasts guide emergency preparations. Geological information helps explain landslide hazards. Water testing gives communities information they need to assess conditions. Meteorologists’ knowledge and public perception of weather events shape public safety. Each involves scientific or technical knowledge. Each also raises questions about public responsibility: What did officials know? How did they use that information? What did they tell the public? What did taxpayers receive for their money? A study can identify a problem. Elected officials still have to decide what to do about it, how to pay for it, and how to explain their choices. Reporting should examine both the evidence and the response. That is where I want to strengthen my work. My reporting on Helene recovery, infrastructure, flooding, public safety, and public spending has repeatedly brought me to questions that require scientific expertise alongside public records. This mentorship may help me better understand the research, ask more precise questions, and explain the answers clearly. I also bring the perspective of someone living with these concerns. I live downstream of Lake Lure Dam, and landslides affected my property during Helene. Those experiences bring urgency to my questions. Careful reporting helps establish the answers. Readers deserve to know what the evidence shows, where uncertainty remains, and whether officials accurately describe the information guiding their decisions. You also deserve scrutiny of proposed solutions: what they cost, what they are expected to accomplish, and what risks remain. Access to that information matters. As a mostly deaf journalist who relies on written communication, I will continue pressing for written public warnings, records, and explanations that people can read and use in real time. As you consider the candidates seeking your vote, consider how they approach evidence, preparedness, and transparency. Do they support local journalism, even when it’s not parroting a press release? Do they explain weather events clearly in plain English and explain their decisions after them? Make supporting records available? Acknowledge uncertainty? Follow through when a report identifies a risk? Those are practical questions about governing. Thank you for supporting Cops & Congress and the work that makes these questions part of the public conversation. I’m grateful to David Dickson and the CC Now team for this opportunity, and I look forward to bringing what I learn back to you. Annie DanceEditor & Publisher, Cops & Congress — Learn more about this newsletter, ethics policy, how you can help shape this work, and support it. Follow on X and Facebook. Send constructive criticism, fan mail, and tips with public documents for future stories: CopsandCongress@gmail.com ICYMI: View the Cops & Congress archive — Annie Dance is the publisher of Cops & Congress, a newsletter that analyzes what happens when crime, courts, disaster, democracy, and small-town policies collide. Views expressed here are covered by the First Amendment. Dance has a Bachelor of Arts from Manhattan University in Communication with a focus in Journalism and Government. She has been a journalist for over 20 years. Share Upgrade now or give a gift subscription
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Owner of CT information technology consulting business sentenced for computer intrusion scheme
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REMSA Health recruits Australian paramedics to address Reno-area shortage
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Fifth annual ¡ARTE VIVA! celebrates Hispanic arts, culture
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Long March shows why the Communist Party needs strong leadership: state media
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Update: Microsoft's Business Software Proposed to Receive Increased UK Regulatory Scrutiny
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Two new-to-science subterranean fishes reveal a hidden world underneath
A decade ago, Wimarithy K. Marak, a resident of Assam’s Goalpara district, often used to encounter a small pink creature in her neighbourhood’s wells. She simply thought of it as a worm infesting her locality. In 2021, after she became a researcher, she stumbled upon the creature again while drawing water from a well. “This […]
Raiders are done with moral victories — now they need actual wins
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AI Breach of Australian Healthcare Website Sparks Regulation Debate
Nearly three months after a June attack involving OpenAI on the Australian Medicare website, the Australian government received a five-paragraph email from the company informing officials of the breach. Although the Australian government has promised to take further action, such as establishing task
Your age may not tell the whole story about your health, but your blood could
Researchers analyzed plasma metabolites from 18,476 individuals aged 1 to 96 years and developed two metabolomic aging measures to assess biological aging, chronic disease, and mortality risk. Accelerated metabolomic aging was associated with greater risks of chronic disease and death, while a separate mortality-linked measure provided additional information about health status and disease burden beyond conventional clinical assessments.
'Street Fighter' wins N. America box office, buzzy doc stuns in 2nd
Paramount's action film "Street Fighter" karate-chopped the competition this weekend with a $31 million debut at the North American box...
Streaming’s Biggest Show Returns…and a Buzzy Genre Struggles
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Obviously, the big news of the week (if not month) is Netflix letting go of executive Bela Bajaria, their chief content officer. I’m going to cover this in my next “Most Important Story of the Week”, but I also have a data angle that I might publish before then. (Too much news this month, am I right?) But first, I have a bonus Streaming Ratings Report issue for you. Today’s article is a bit of a grab bag of topics I’ve wanted to write about, but couldn’t squeeze into the (already very long) Streaming Ratings Report issues. The NFL drives huge viewership numbers, so I’ve got a look at that. A whole bunch of TV shows returned to the traditional broadcast channels, and I have thoughts. And I have a quick look at adult animated shows, since a couple flopped earlier this month. Plus, the Emmys aired earlier this month, and we got some fun data bout how popular those nominated shows are and why I’m not optimistic about the show’s future. That’s a lot, so let’s dive right in. Subscribe Sports - Football Remains the King of Streaming Over the last two Streaming Ratings Reports, I sorta ignored the biggest “show” each week. (I was tempted to say “piece of content” but I know that word bugs folks.) In my database, I call these “specials”, and they sure are special. I speak of the king of American TV: football!!! Streaming football is back and, unlike some other sports, it routinely dominates all viewership. Probably the best way to show this is to update one of my favorite graphics, the “40 Million Hour Club”1 since football games have joined that club each week they’ve premiered: (Yep, that’s the data through 28-Sep, the first four weeks of the season. As a reminder, I take the average minute audience provided by Nielsen, factor out a percentage of linear TV viewers in home markets, and multiply the run time by the three-hour runtime.) Again, the numbers are huge. Let’s start with Netflix. They grabbed the rights to the bonus opening week NFL Kickoff game (which was on YouTube last year) and it put up 18.5 million viewers on average. That nets out to 47.4 million hours of estimated streaming hours. That’s good! Though, notably, it’s well below Christmas Day games from previous years. Compared to other streamers/broadcasters, that’s a bit of a mixed result. On one hand, Netflix’s 18.5 million average is about what YouTube claimed last year, though Nielsen used a bespoke methodology at that time, so I trust this viewership figure more. So that’s good. (The game also shifted from a Friday to a Thursday and that could have helped the viewership as well.) And Netflix continues to best Prime Video in total viewership—as you’ll see next—though Netflix has had much higher-profile (opening week and Christmas Day) games. NBC/Peacock’s opening game the night before averaged 25.1 million average viewers, which is just much bigger than Netflix (or Prime Video). That’s the big caveat to all streaming viewership records: even in success, they can’t compete with traditional linear TV. Previously, I called this my “hierarchy of viewership”, and the data keeps supporting that thesis. The downside for NBC is that this game’s viewership was down compared to previous years, though it may be a counting issue. Here’s a great chart from Sports Media Watch: Indeed, looking at all the opening week games across all windows, Netflix still lags the other primetime windows, but does well compared to the afternoon games: I saw a few folks make the case that streamers still lag traditional broadcasters in reach, and I’d add they really lag compared to “broadcast plus streaming” options like NBC/Peacock, ESPN/Disney+ and CBS/Paramount+. The best data I saw for this came from Samba TV, who charted reach through the 2025 season, and, wow. (Samba TV’s numbers are historically lower than Nielsen’s, so don’t compare their household figures to Nielsen’s hours, but use them as a proxy for the relative reach of the streamers.) The good news is Prime Video is NOT having a down year. Their opening Thursday Night Football game reached 18.6 million viewers (about what Netflix got), but that’s a high for Prime Video on Thursdays and the biggest Thursday night game since 2015. The TNF games the weeks of 21-Sep and 28-Sep continued this streak, getting 43.1 (16.8 million average viewers) and 42.5 total hours (16.6 million average viewers), which were both up from last year. Still, that continues the (typical) season slide: (For those new-to-streaming-football-numbers folks, the viewership declines for Thursday Night Football as the year goes along.) Overall, it appears as if Prime Video is now part of the “football habit”, be it for customers at home or out at places like bars and restaurants. And its viewership is slowly catching up to broadcast. One last chart shows this. Last season, Nielsen started adding out-of-home viewership to the charts, so I try not to do season-to-season comparisons as I did for the first few years. And while Nielsen added Big Data viewing this year, I’m going to compare the last two seasons. Here’s that chart, which shows the season-over-season gains: When it comes to streaming football, we have to keep a few seemingly contradictory thoughts in our head… First, streaming doesn’t come close to matching broadcast’s reach and, thus, viewership. Second, even with that gap, football is still the biggest “thing” on streaming. It’s very, very popular. Third, while some methodology changes have likely helped Prime Video’s numbers, their viewership does appear to be growing. Lastly, yeah, the NFL started the season off poorly, with week one dragging down the numbers in year-over-year comparisons. However—and again, methodology changes may have helped this—the viewership grew compared to previous seasons over the next couple of weeks. So football is still king. On streaming and off. Television - Adult Animation Continues to NOT Make the Streaming Charts In the last two reports, two adult-animated shows whiffed: Netflix’s animated comedy, Dang! Paramount+’s Sega-video-game-inspired fantasy/comedy, Golden Axe. Neither made the charts, but that’s usually the case for animated shows. I mean, here’s literally every animated show that’s made the Nielsen Original charts since the start of 2025: And one of those shows is G_abby’s Dollhouse_! A kids show! The problem with charts like this is that they don’t give you a sense of how many shows miss the charts. Netflix had at least eleven animated flops, including comedies like Big Mouth (a show everyone assumed was popular in the pre-Streaming Ratings Era), Long Story Short, Haunted Hotel, Mating Season, Strip Law, and Alley Cats, and action shows like Blood of Zeus, Castlevania: Nocturne, Devil May Cry, Splinter Cell: Deathwatch, and Tomb Raider: The Legend of Lara Croft. Prime Video had at least six animated misses, two in the same universe (Hazbin Hotel, Helluva Boss), three more comedies (#1 Happy Family USA, The Second Best Hospital in the Galaxy and Kevin) and an action show (The Mighty Nein). Disney+ had MCU and Star Wars animated misses (Eyes of Wakanda, Marvel Zombies, Star Wars: Visions, Star Wars: Maul – Shadow Lord, and Star Wars: Tales of the Underworld) but I can’t tell how many of those shows were geared towards adults. HBO Max had Harley Quinn and Hulu had Solar Opposites. None of these shows made the charts! That’s a lot of misses! If I remade the chart with all those misses, here’s how it would look: Listen, I know the counter arguments. First, it’s cheaper to produce animated shows than live action. Fair enough, but with viewership this low, even that cheaper price point starts to not matter. Second, just look at the acquired charts. Hit animated comedies can generate viewership for years! Shows like The Simpsons, South Park, Family Guy, and Bob’s Burgers do really, really well. Fair enough, but streaming has failed to recreate the dynamic that Fox has mastered so well. That’s a problem for streaming still. Television - Emmys! The annual Emmys broadcast was a few weeks ago, and I’ve got data on how the nominees performed on streaming, plus hot takes on this year’s viewership (and the big news about the broadcast’s, er, streamcast’s future). We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… The top Emmy-nominated shows… ...why I’m worried about the future of the Emmys telecast... ...the pros of broadcast television ...and the cons... ...please subscribe! We can only keep doing this great work with your support. Coming Soon! Next week, we’ve got a double issue (since the weeks of 21-Sep and 28-Sep were so light), but then I’ll be all caught up after a deluge of streaming ratings data from Nielsen in September. In the meantime, I’m going to try to take a look at Netflix’s stats to explain why Bela Bajaria is out. But even light weeks give me plenty to talk about. The Great British Baking Show returns to Netflix and Apple TV has a buzzy new star-studded comedy. And Netflix has a controversial-but-appears-to-be-popular new game show. Plus big films like Toy Story 5, Backrooms and The Breadwinner head to streaming. And is East of Eden a hit? After that, The Kardashians return to Hulu, Prime Video has a reboot of Carrie, and Netflix has a horror show, Below. Disclosure Day heads to Peacock, The Housemaid heads to HBO Max_,_ a new Ben Affleck film, Animals, lands on Netflix, and Apple TV has a new John Cena action film based on, checks notes, Hasbro’s Matchbox toys. Okay. Longterm, some interesting TV production news. HBO Max ordered How to Survive Without Me, starring Kaley Cuoco, Joshua Jackson, Ray Romano and Rita Wilson, for fifteen episodes! I love that some streamers (or, at least, HBO Max) are finally ordering TV shows with more than eight episodes. In less wise production news, Landman does not appear to be coming back this year, since it just started production. Frankly, I don’t love this (get your shows out on time) but Landman is so popular, I doubt it matters.
Box Office: Elizabeth Holmes movie ‘You Can See Everything’ is now a hit in theaters too
Paramount's “Street Fighter” leads the box office this weekend, earning $31 million from 3,575 theaters in the U.S. and Canada | WBBM Newsradio 780 AM & 105.9 FM
Box Office: Elizabeth Holmes movie ‘You Can See Everything’ is now a hit in theaters too
Paramount's “Street Fighter” leads the box office this weekend, earning $31 million from 3,575 theaters in the U.S. and Canada. However, the spotlight is on the Elizabeth Holmes documentary “You
Box Office: Elizabeth Holmes movie ‘You Can See Everything’ is now a hit in theaters too
Paramount's “Street Fighter” leads the box office this weekend, earning $31 million from 3,575 theaters in the U.S. and Canada | KNX News 1070 AM
'Street Fighter' is 1st, but 'You Can See Everything' stuns in 2nd
Paramount's “Street Fighter” leads the box office this weekend, earning $31 million from 3,575 theaters in the U.S. and Canada.
Box Office: Elizabeth Holmes movie ‘You Can See Everything’ is now a hit in theaters too
Paramount's “Street Fighter” leads the box office this weekend, earning $31 million from 3,575 theaters in the U.S. and Canada.
Daredevil Jumped 25,000 Feet Without a Parachute. Now He Wants to Leap from Space: ‘That’s the Dream, the Drop-the-Mic Thing’
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Country music singer rips ‘parasites’ accusing him of using satanic imagery in shows
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Asian Para Games opening ceremony; ISL, APL continue: Indian Sports LIVE, October 18
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Alberta separatists say they'll keep fighting after independence vote
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Keri Russell on politics, escapism and 'Diplomat' twists she literally forgot
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Decades after apartheid, South Africans seek justice for crimes of the past
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Inter Kashi vs Odisha FC, NorthEast United vs Kerala Blasters in ISL; Preliminary rounds in Asian Para Games: Indian Sports LIVE, October 17
Here are all the updates from Indian sports on October 17, 2026.
There's Another Cat Parasite That Can Infect Humans. A Huge Study Reveals How Common It Is.
Move over, toxoplasmosis.
Health officials urge vigilance as New World screwworm cases found in Grant County
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Arts & Entertainment Calendar
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Lobo football team treats paradise like a business trip
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What causes sleep paralysis; health indicators of Alzheimer's diagnosis; sober October; plus other stories with Vanderbilt Health sources
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Park City business groups express concerns about employee retention, worker housing
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Can DC blend horror with a superhero movie? 'Clayface' wants to blur genres
Superhero films and horror have usually stayed on separate sides of the multiplex | KCBS All News 106.9FM and 740AM
Can DC blend horror with a superhero movie? 'Clayface' wants to blur genres
Superhero films and horror have usually stayed on separate sides of the multiplex | WWL
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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.
Taylor Sheridan’s ‘Frisco King’ sets release date
FORT WORTH, Texas — Taylor Sheridan’s “Frisco King” will release in time for the holidays. Paramount+ announced Thursday that the Samuel L. Jackson-led series will premiere two episodes on Friday,
Five Big Questions The Angels Must Answer This Offseason
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Plague is stoppable. The next health threat may not be.
The word plague is scary. Centuries ago, the Black Death killed tens of millions of people and changed the course of history. Plague still kills people around the world, and the word still evokes catastrophe. New fears of plague surfaced on October 2, when a lab worker in Irkutsk, Russia, died of pneumonia. Reports suggested that she may have contracted plague through a laboratory exposure. Understandably, people were alarmed. On October 7, the World Health Organization called for the Russian Federation to be transparent about what it knew. WHO issued an update on October 10. Russian authorities told WHO that testing did not identify plague and that investigations found no laboratory release. WHO said confidence in its risk assessment remained limited and that further clinical, epidemiological, and laboratory information was needed. The cause of the woman’s illness remains unknown, and WHO says a laboratory-associated exposure cannot be excluded. As I explained in a recent interview, this incident is very unlikely to lead to a pandemic. Plague is still active, including in the U.S., which sees a handful of cases each year. But it is a disease we can prevent and treat. Plague doesn’t spread readily, and it responds to antibiotics. The standard response—isolate the patient, trace contacts, and administer antibiotics and monitor for symptoms among contacts for seven days—works. We have even planned for antibiotic-resistant plague. At CDC, we developed a playbook for antibiotic-resistant plague and ran exercises on how to find and stop it. CDC guidance anticipates engineered resistance and recommends two different classes of antibiotics if there’s reason to suspect it. There is no evidence that resistance—or even confirmed plague—is involved in this incident. We have thought through how to address plague, but we’re not ready for the next major health threat that emerges from a lab or from animal spillover to humans. What should concern people is how little stands between the world and the next pathogen to get loose. Since peak COVID, epidemic preparedness has fallen off the political agenda, but the risk is greater than ever. More labs handle dangerous pathogens with more ways to make those pathogens deadlier, and more people live and work in close contact with animals. There are actions we can take now: We need better lab safety in every country. The number of labs that work with dangerous pathogens has increased worldwide over two decades, but there’s no enforceable international standard and no inspection regime; the Biological Weapons Convention, fifty years on, still has no verification mechanism. Labs that study dangerous germs need strong safety systems, training, and oversight. We need to reduce spillover events. Three in four emerging human infections start in animals, and there’s a lot we can do to reduce spillover risk, but the world is doing very little of it. Live-animal markets are one place to act. For instance, closing live-bird markets helped control H7N9 influenza in China. Reducing opportunities for people to encounter infected animals can prevent infections before they become outbreaks. In The Formula for Better Health, which is now out in paperback along with the hardcover, Kindle, and audiobook versions, I argue that labs do too many risky experiments with too many dangerous pathogens in too many institutions, and that every experiment should first answer one basic question: Is the likely benefit greater than the risk? Spillover risk can also be reduced: In the book, I discuss how Brazil cut its deforestation rate by 70% from 2004 to 2012 while increasing agricultural production and reducing risky contact between people and forest animals. We need faster detection and response. Delay costs lives. Strong surveillance, good labs, and trained responders can turn a single case into a small cluster of infections instead of an epidemic. Resolve to Save Lives has worked for nearly a decade to help countries find and stop outbreaks faster. The 7-1-7 target, which Resolve to Save Lives developed with partners in Uganda and elsewhere, provides a clear standard: detect within 7 days, notify within 1 day and complete all essential early response actions within 7 days. In Uganda’s Kasese district, for example, a review of a measles outbreak using 7-1-7 identified shortages of accessible funds, fuel, and vehicles that delayed the response. District leaders established funds they could access quickly. When, a few months later, the Crimean-Congo hemorrhagic fever appeared, the district detected it in three days, notified authorities in one, and mounted an effective response in two. Only one case was confirmed, and the patient survived. Because funds were available before the emergency, authorities were prepared and able to act. This kind of preparation can’t wait until the next crisis begins. Plague is an old disease we that know how to stop. The next threat may be harder to recognize, harder to treat, and easier to spread. Safer labs, less risk of spillover, and faster outbreak detection and response need sustained investment now, while we still have time to prevent the next emergency. Share
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The debate featured lots of talk about Donald Trump, disparate views on the state of American democracy and a moment when Jackson told Collins to "shut up."
Online Apple Store goes down ahead of iPhone Duo pre-orders
The online version of the Apple Store has gone temporarily offline, all in preparation for the opening of pre-orders for the iPhone Duo, Apple's first-ever foldable iPhone.
East Bay man pleads guilty to robbing business with AR-style paintball gun
Prosecutors say the defendant also admitted to possessing a fully automatic handgun and ammunition in a separate incident.
Buccaneers vs. Steelers: Week 6 Thursday Injury Report
The Tampa Bay Buccaneers continued preparations Thursday for Sunday’s Week 6 matchup against the Pittsburgh Steelers at Raymond James Stadium, with several players showing progress on the team’s latest injury report. Quarterback Baker Mayfield (right thumb) and safety Antoine Winfield Jr. (rib) remained sidelined for the second consecutive practice, putting their availability for Sunday’s game […]
IP Saves the Day On Streaming
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Before we get started, I wanted to highlight a new idea I saw from Real Good AI, proposing a ratings system for AI use. (H/T to Anthony Kaufman’s article highlighting this.) It would look something like this: In general, I think that this is a solid, middle-ground solution that should appease both the pro-AI camp (who love AI) and the anti-AI camp (who wants to know if what they’re watching didn’t come from humans). Regardless of your feelings on AI/LLMs—I’ll never use it for my writing—transparency is often the best solution to many problems. In general, I think way more media outlets need to be using way more AI disclosures. My quick “Yes and...” to this idea: what about ads? In particular, I hate it when I see or hear ads that are obviously AI-generated, but a person or voice says, “I used this product”. AI doesn’t use products! Just today, I watched a YouTube ad where a “person” said they use some sort of rain wind chime...but that’s not a real person! They didn’t use this product. (Especially since the video of the wind chime itself also appeared to be AI-generated...) I believe most traditional advertising already has standards like this anyway.1 Okay, on to this week’s issue. We’re covering the week of 14-Sep, and then next issue, I’ll be fully caught up with Nielsen’s new release schedule. In the future, I plan to put out Streaming Ratings Reports each Monday after Nielsen’s Thursday releases. Overall, we had some big new shows this week, like Prime Video’s Reacher spinoff_, Neagley_, which is off to a big, big start, and Netflix’s latest in its Monster anthology, which is their largest opening since June and the second-largest since One Piece came out in March. All that, plus Slow Horses returns, the trio of returning shows (Lioness, Reacher and Ted Lasso) continue to dominate the top tens, Paramount+’s latest crime drama, a big whiff for a Netflix original film and a precipitous drop for Netflix film charts, all the flops, bombs and misses, and a whole lot more. Let’s dive right in! (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, JustWatch and Reelgood interest data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the weeks of September 14th to September 20th 2026. You can find a link to my terminology here.) Subscribe Television - IP For the TV Win Can I use the dirty word of entertainment journalism right now? IP. Shhh. Don’t tell anyone I said it. But IP works at the box office, and we’ve seen some evidence it works in TV too. Not as well, and not all the time—no absolutes here!—but often enough. And glancing at the Nielsen top ten…it worked this week! Take Prime Video, who has a monster hit in the crime drama Reacher. Would a spinoff work for that show? Yep! They binge-released Neagley, about a detective from the original Reacher series, and its eight episodes debuted to 29.6 million hours. Here’s how it stacks up to Reacher, one of Prime Video’s biggest shows: That’s great. Nearly as strong as Reacher’s opening! (Both shows started with eight, binge-released episodes, so this comparison is apples-to-apples.) Notably, Prime Video scheduled the debut of Neagley to overlap with Reacher’s most recent season, to help drive tune-in. Obviously, I love smart release strategies like that. And even though I wrote “obviously”, it’s not really that obvious, since streamers don’t often take advantage of natural overlaps like this_._2 Other data backs how well Neagley performed. It opened at second place on Samba TV for two weeks and got 51.7 million hours on Luminate. That’s the eleventh biggest opening on Luminate since May of 2024 and tied with Bridgerton’s third season opening. That’s a huge opening! Its IMDb is solid too, a 7.7 on 24K reviews. Netflix’s latest edition in the “Monster” series—which started with Jeffrey Dahmer and comes from Ryan Murphy—did well too, opening to 24.7 million hours. That’s the biggest opening for Netflix since I Will Find You in June, and second biggest since March. Unlike the Reacher series, this franchise is trending downward, though. The first Monster show—Dahmer - Monster—was giant. More than anything, I think this reflects that Netflix running out of extremely popular—if that’s the right word?—serial killers to feature. Still, the data says this is a very good opening. It made it to third place on Samba TV for two weeks. It also opened to 40.0 million hours on Luminate. That’s not quite as elite as Neagley, but still very, very strong. I’ll be honest: my priors coming into any given week are that IP works to help drive buzz for new shows, but TV shows need to stand on their own even more than movies, so they will succeed or fail based on their quality. But these two spinoffs definitely worked. Quick Notes on TV The top show, film or special this week? Football, again. Specifically, Prime Video’s season opener of Thursday Night Football. The games run long (three hours) but mainly a lot of people watch each game. That adds up to a lot of viewership. Paramount released the second season of MobLand on an unusual day for that service, a Friday! Often, they put their new shows out on a Sunday, as they did last year with a run of shows (Lioness, Tulsa King and Landman). MobLand didn’t make Nielsen in its first week, but on Samba TV it got to eighth and seventh place. Luminate had a smaller opening too, only 5.3 million hours. MobLand missed the Nielsen charts for its first eight weeks, so this season is off to a stronger start. (Bonus note: the first season streams on both Prime Video and The Roku Channel, but I only have it as Paramount+ on those charts.) I’ve mentioned a few times that foreign-language originals do lower numbers than English-language originals on Netflix most of the time. But I don’t usually emphasize what country those originals come from, and observationally, they tend to be from Western or Northern European countries, in general. So credit to Not a Stranger, a Turkish Netflix original, for breaking through on Luminate, getting to 7.9 million hours in its first full week on those charts. As I mentioned last issue, Crew Girl ended up making the Nielsen charts in its second week. That’s still a soft performance compared to many shows, but again this, one looks affordable. And if you’re curious, here’s how it stacks up to some other sports romance shows: We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… …about a new data source and how it drives streaming viewership… ...what reality show is struggling in its latest season…. ...what Netflix film bombed…. ...How Reacher, Ted Lasso, and Lioness are doing on the charts… ...what obscure sport put up great viewership numbers… …how far streaming films are falling… …all the flops, bombs and misses for the last week… …and more… ...please subscribe! We can only keep doing this great work with your support. If you want an idea of just how much content you’d get in a full issue, check out this older issue. Coming Soon! Next week, we’ve got a double issue, then we’ll be all caught up with Nielsen’s data. Yes! The goal is to have my report out on the Monday after I get Nielsen’s data. So next issue, I’m looking at East of Eden, The Great British Baking Show, a Willy Wonka game show (that people are upset uses AI, but viewers might not care), and a Cosby show spinoff reboot on Netflix, and Brothers on Apple TV (starring Woody Harrelson and Matthew McConaughey). That’s about it for TV, but who’s going to win the streaming week, The Breadwinner or Backrooms on streaming? Answer: Toy Story 5. Plus Netflix has a Unabomber film and a new Tyler Perry film, Teenage Sex and Death at Camp Miasma tries to repeat The Substance’s run on MUBI, and Paramount+ has Jackass: Best and Last. Long term, Netflix is remaking Lonesome Dove. I love this choice, but man, there are a lot of westerns on TV right now. And they’re making Sega TV shows, including a Crazy Taxi TV show and Sonic show with an “edge”.
Touchscreen MacBook Pro Could Launch on November 6
Apple is planning to introduce new OLED touchscreen MacBook Pro models on October 27 or October 28, and the machines could launch on Friday, November 6, Bloomberg's Mark Gurman said during his latest podcast. Apple retail stores apparently have a "big floor reset" scheduled for the evening of Thursday, November 5, and into Friday, November 6, which Gurman says could be in preparation for the new Macs.
Former Boston TV meteorologist, ‘Today’ co-host says divorce is official
A former Boston television meteorologist says her divorce is now official more than a year after she and her husband announced their separation.
Majority of Small Business Owners Rely on Their Businesses to Fund Their Future, New Survey Finds
For many U.S. small business owners, their financial future depends heavily on the businesses they've built, yet new research reveals significant gaps in the planning and preparation needed to support a successful exit.
Ukraine: Critical health supplies destroyed in ongoing Russian attacks
Ongoing and deadly Russian attacks across Ukraine are causing serious healthcare disruption, with more than $1.5 million-worth of medicines and supplies destroyed in four separate strikes on warehouses used by the UN there since July.
CT distributes $10M in health insurance assistance to more than 7,600 paraeducators
Connecticut is distributing $10 million to help more than 7,600 public school paraeducators pay their health insurance costs.
Samuel L. Jackson's 'Tulsa King' spinoff 'Frisco King' gets premiere date — and Sylvester Stallone is back
Taylor Sheridan's new Paramount+ crime drama premieres Dec. 18, with Jackson reprising his role as hitman Russell Lee Washington Jr.
How Germie Bernard earned Aaron Rodgers' trust in team meetings
Pittsburgh Steelers rookie Germie Bernard details how Aaron Rodgers tests his preparation during weekly offensive meetings.
Lights, curtains, spirits? Inside The Ritz's paranormal past
The building has hosted entertainment venues for 100 years, and some say there are members of the audience and performers who have never left.
Lights, curtains, spirits? Inside The Ritz's paranormal past
The building has hosted entertainment venues for 100 years, and some say there are members of the audience and performers who have never left.
Augustana Expands Government & International Affairs Department With Four Specialized Majors
In Fall 2026, the Augustana University Government & International Affairs Department expanded its degree program offerings to include more specialized majors — giving students focused pathways aligned with their interests, workforce demands and graduate school preparation.
Is the EU research budget actually increasing?
Is a Horizon Europe budget of €158 billion a 10% cut or a significant increase to the EU’s support for research and innovation? What would seem like a question of fact has divided opinion in Brussels since the Irish presidency of the EU Council presented its negotiation box on October 10. The answer depends on factors such as how you adjust for inflation, whether you account for increases in overall EU wealth and if you care about absolute or proportional figures. The €158 billion budget in current prices, proposed by the Irish presidency of the EU Council, was quickly criticised by university lobbies and rejected by the high-level expert group led by former Portuguese science minister Manuel Heitor. It was also decried by the four pro-European political groups in the European Parliament. “How can Europe close its competitiveness gap while cutting the European Competitiveness Fund by 13% and Horizon Europe by nearly 10%?” asked a joint statement by the European People’s Party (EPP), Renew Europe, the Socialists and Democrats and the Greens/European Free Alliance. Together, these parties hold 63% of seats in the Parliament.In stark contrast, Irish foreign affairs minister Helen McEntee said that the proposal “significantly increases investment in competitiveness, research and innovation,” Meanwhile, a presidency press release said that, compared to the current Multiannual Financial Framework (MFF), the proposal would “double the volume of competitiveness related programmes.” So, who is right? That depends on how you make the calculation.Compared to the Commission figure or the previous budget?The first thing to notice is the difference in baselines. When the MEPs say the Irish presidency will cut Horizon Europe by “nearly 10%” they are using the European Commission proposal for the MFF from July 2025, which allocated €175 billion in current prices to Horizon Europe. However, when the Irish foreign affairs minister said the research and competitiveness budget is increasing significantly, she is comparing it to the 2021-27 MFF, which had a Horizon Europe budget of €84.9 billion in 2018 prices.Her point holds when accounting for inflation. Applying a 2% annual inflation rate, the calculation method used by the Commission, the 2021-27 Horizon Europe would have a budget of €97.5 billion in 2025 prices. In comparison, the Irish presidency’s €158 billion figure in current prices translates to €140 billion in 2025 prices. Does the ECF count?But there is more to the dispute. In its statements, the Irish presidency lumped the research budget in with the overall budget for competitiveness. The Parliament statement, however, kept the two separate. This matters because the next MFF includes plans to add a new European Competitiveness Fund (ECF) to fund programmes meant to boost the continent's competitiveness. The Irish negotiating box allocated €245 billion in current prices to this programme.When this is added to the €158 billion for Horizon Europe, as well as programmes such as the EU education programme Erasmus+, the total for “competitiveness, prosperity and security” in the Irish proposal becomes €514 billion in current prices. But it is still uncertain how big a share of this competitiveness budget would go to research. The Commission proposal of July 2025 for the MFF included clear links between the ECF and Horizon Europe, indicating some ECF money will go to research. At the same time, the structure of the ECF is still being negotiated, and a substantial part of its budget is expected to support non-research activities such as defence manufacturing, decarbonisation and digital infrastructure. Related articlesCouncil floats 9.6% budget cut to next Horizon EuropeResearch community to appeal to national governments over planned EU budget cutEU own resources ‘essential’ for future research budget, says leading MEPSo, it is by looking at competitiveness rather than research, or combining the two, that the Irish presidency can claim that its proposed budget will significantly increase investment in competitiveness, research and innovation.According to the Irish presidency proposal, Horizon Europe and other competitiveness-related programmes in the current multiannual budget received €221 billion in current prices. However, since this money is being distributed from 2021 to 2027, it is not directly comparable to the €514 billion in current prices which will be distributed from 2028 to 2034.Research as a proportion of the MFFBut the relative rise in competitiveness-related programmes points to another important distinction: whether you look at the research budget in absolute terms or as a share of the overall MFF. Here, too, the size of the research budget has risen, although only slightly. In the 2021-27 MFF, Horizon Europe accounted for 7% of the total budget. In the Irish presidency’s proposal, it amounts to 8.7%. The share for the total competitiveness envelope went from 17.7% in the current MFF to 28.1% in the Irish presidency proposal.This proportional share may seem irrelevant to universities looking for research funding, but it is becoming significant as budget negotiations between the Parliament, the Commission and the Council begin. On October 2, a group of 17 southern and eastern European countries sent out a statement calling for the EU agriculture and cohesion budgets to be protected. The Parliament’s co-rapporteur on the budget, Siegfried Mureșan of the EPP, has also said that the research envelope is likely to be cut disproportionately as the budget is slimmed down during negotiations.
The Politics of Retrieval: Accessing the Backstage of Judicial AI
--Estefânia Maria de Queiroz Barboza, Constitutional Law Professor, Federal University of Paraná (UFPR); Gustavo Buss, PhD Candidate, Federal University of Pa
Gibraltar to Sell Infrastructure Business to Saint-Gobain for $208 Million
Gibraltar Industries (ROCK) has agreed to sell its Infrastructure business, D.S. Brown, to Saint-Gobain for $208 million in cash. The price is subject to customary post-closing adjustments. Closing is expected in the fourth quarter of 2026, subject to closing conditions, including required regulatory approvals.Gibraltar expects the transaction to be highly tax efficient and plans to use the proceeds to accelerate debt reduction as it focuses its portfolio on building products and structures end-markets. Management will update its 2026 outlook for the sale alongside its third-quarter 2026 report; that report’s timing will be announced separately.
Physical media is here to stay
As society delves deeper into the digital age, physical media separates itself as its own niche. On July 1, PlayStation announced that production of physical video game discs would be discontinued from January 2028. From that point forward, all future releases would be available only digitally in the PlayStation store or retailers. PlayStation claims the...
Fire Emblem: Fortune's Weave announces Expansion Pass DLC
DLC is coming to Fire Emblem: Fortune’s Weave with a new Expansion Pass, Nintendo and Intelligent Systems just revealed. Three separate waves of content are planned. Wave 1, which is out today, includes four additional weapons. These are modeled after the Heroes’ Relics from Fire Emblem: Three Houses. Wave 2 includes additional wearable outfits and three additional allies. New allies...
Anthropic reveals $16.8B revenue amid IPO preparations
Anthropic reports $16.8B Q3 revenue at an investor meeting, signaling strong growth ahead of IPO.
From the pew to the polls: How changes in Black worship are reshaping Black politics
As the midterms near, activists and religious experts explain why faith and politics have never been separate in the Black
Ohio Attorney General sues 2 home-improvement companies, including Lorain County business
The Ohio Attorney General's Office filed separate lawsuits against two Ohio home-improvement companies, including one based in Lorain County.
SD rules committee advances campaign finance, `Dark Money' reform packages
The two separate proposals, the Ending Perpetual Fundraising Ordinance and Exposing Dark Money and Banning Shadow Campaigns, follow the previously advanced Follow the Money Ordinance, which the Rules Committee advanced in August.
MLS’s political speech policy is untenable – just ask Austin FC fans
The protests around an anti-ICE T-shirt show that politics can never be separated from sports, especially now
Celebrate Ukrainian culture at annual festival this weekend
UTICA — With preparations in full swing, the public is invited to celebrate Ukrainian culture as the annual Ukrainian Festival will take place from noon to 9 p.m. Friday, Oct.
DeWolf Foundation gives $3.5 million to support UI business students
The DeWolf Family Foundation of Cedar Rapids is giving $3.5 million to support University of Iowa business students’ well-being and career preparation.The gift
UNCP Computer Science Program earns ABET accreditation
Photo by UNCPUNC Pembroke’s Bachelor of Science in Computer Science program has earned initial accreditation from ABET’s Computing Accreditation Commission, providing independent recognition of the quality and rigor of the program as it prepares students for careers and advanced study in computing.The accreditation, which extends through Sept. 30, 2032, comes as UNCP continues to expand its computing programs amid rapid growth in artificial intelligence, cybersecurity, data science and other emerging technologies.ABET accreditation is a voluntary, peer-reviewed process that evaluates academic programs against established standards for quality. The review examines curriculum, student outcomes, faculty qualifications, assessment practices, student support and continuous improvement.“Earning initial ABET accreditation is a significant milestone for our Computer Science program because it provides external recognition of the quality of our program and validates our commitment to continuous improvement,” said Dr. Haitao Zhao, assistant professor in the Department of Mathematics and Computer Science, in a press release. “For our department, this achievement reflects the hard work and dedication of our faculty and staff and gives our students greater confidence in the quality of their education and preparation for careers and graduate study.”For prospective students, the accreditation provides independent assurance that UNCP’s program meets standards established for computing education and is preparing graduates to enter technical fields in the global workforce.Earning the accreditation required faculty and staff to conduct a comprehensive review of the program, including its curriculum, educational objectives, student learning outcomes and assessment processes. The review included a detailed self-study, documentation and an on-site evaluation.The accreditation arrives as UNCP looks toward the next phase of growth in computing. The department plans to continue strengthening its computer science curriculum while expanding hands-on learning and research opportunities for students. It also plans to pursue ABET accreditation for its information technology and cybersecurity programs.Future plans include developing new opportunities in artificial intelligence and graduate education, including an AI track and a Master of Science in Computer Science with a focus on AI and cybersecurity.
A Major Labor Boom in CNY? Not Here Yet
With so many major projects going on — Micron, I-81 viaduct and others — job growth is predicted to increase. But so far the number of jobs in the region has declined By Aaron Gifford [caption id=attachment_11065 align=alignright width=350] Amy Stage, deputy director at the Manufacturers Association of Central New York (MACNY): “For us, the conversation isn’t just about filling jobs. It’s about creating sustainable pathways that help people see a future for themselves in manufacturing.”[/caption] The I-81 viaduct project in Syracuse and Micron facility construction in Clay are expected to create a major labor boom for Central New York. But for the time being, the number of jobs here has actually decreased in the past year. The New York State Department of Labor reported that, for the annual comparison of June 2025 to this past June, private sector jobs decreased by 2,200 or less than 1% to 260,000. Job gains were concentrated in leisure and hospitality (+700), private education and health services (+400) and other services (+300). Job losses for that annual period were reported in the areas of trade, transportation and utilities (-1,500); professional and business services (-1,000); financial activities (-500); mining, logging and construction (-300); manufacturing (-200); and information (-100). The public sector job count rose over 12 months, with most growth concentrated in education, the state Department of Labor reported. Looking ahead, the Central New York economy is expected to benefit from both the Micron and I-81 viaduct projects over a period of several years. Initial job growth is foreseen in construction and computer and electronic manufacturing. Spin-off jobs will be created in the areas of professional and business services, health care and education, the state Department of Labor said in an email response to Oswego County Business magazine. “Population growth tied to the buildout of Micron Technology semiconductor complex in Clay is also expected to bring more workers and residents to the region, increasing demand for transportation services,” the agency said. New York Department of Labor highlighted current or projected job growth trends in various sectors. An increase in defense-related contracts at local high-tech employers has continued to support employment growth in the computer and electronic product manufacturing sector and Micron is expected to generate thousands of direct and indirect jobs as the project progresses. This sector paid an annual average wage of $117,500 in 2025 and employment in the sector is projected to grow by over 60% through 2032, making it the fastest-growing industry in the region. Typical occupations in this industry include electrical, electronic and electromechanical assemblers, software developers and industrial engineers, the state agency reported. Specialty trade contractors include several different types of tradespeople — electricians, plumbers, pipefitters and steamfitters and HVAC (heating, ventilation and air conditioning) mechanics and installers. Many of these positions are trained through apprenticeships, the state Department of Labor reported. The Interstate 81 construction project is generating local jobs, including construction laborers, projected to grow at a 6.4% rate, and operating engineers and other construction equipment operators, projected to grow at a 7.3% rate over the next several years. Construction of the Micron Technology facility is also “creating thousands of job opportunities that will continue over the next two decades,” the state agency reported. The specialty trade contractors sector paid an annual average wage of $86,200 in 2025. For Central New York, the challenge isn’t creating jobs, it’s filling them. Amy Stage, a deputy director at the Manufacturers Association of Central New York (MACNY), said meeting this unprecedented growth is a much larger task than just replacing retirees. “We’re seeing workforce gaps at every experience level,” she said. “Companies need entry-level employees, experienced technicians, supervisors, engineers and skilled trades professionals. The opportunity is tremendous, but we need more people entering these career pathways.” Employers are looking for people who can troubleshoot, read technical information, use computers and learn new processes, not just perform repetitive production work, Stage said. To address this demand, the MACNY created the Manufacturers Talent Institute, which aims to connect students and job seekers with meaningful career pathways while helping employers build their workforce. Twenty-one companies have so far signed up to provide opportunities for more than 800 students. “For us, the conversation isn’t just about filling jobs,” Stage said. “It’s about creating sustainable pathways that help people see a future for themselves in manufacturing.” Several manufacturing facilities in the region are in the midst of expansion: • TTM Technologies, a leading U.S. manufacturer of advanced electronics and interconnect solutions for aerospace, defense and high-technology markets, which has a plant in DeWitt, completed its buildout of an additional facility, adding 400 jobs and expanding production of high-tech circuit boards for defense and critical electronics applications. • In Cortlandville, the Byrne Hollow Crossing Plant, a dairy manufacturing and processing facility, is increasing its operations, creating 100 new jobs. • The Chobani yogurt company is building a 1.4-million square foot dairy processing facility in Oneida County. This will create more than 1,000 good-paying jobs and double Chobani’s New York state workforce, Stage said. Stage noted several ways that local, state and federal governments can help spur manufacturing job growth in this region. Elected leaders and public agencies could work with industry representatives to create pre-apprenticeship and registered apprenticeship programs seeking to upskill workers and improve employee retention. New York state has a variety of grants, tax incentives and financing programs to support site preparation, infrastructure, workforce development and capital investment. The U.S. Department of Labor has a pay-for-performance incentive program that provides employers $3,500 per new apprentice hired and retained for 90 days. MACNY was previously awarded an $87,000 federal grant that will cover 25 apprentices at nine companies. The manufacturing skills gap in the United States, at its current rate, could result in 2.1 million unfilled jobs by 2030, according to a study by Deloitte and The Manufacturing Institute. In New York state, that gap is on pace to exceed 100,000 unfilled positions within six years. Manufacturing companies will be counting on more women to help fill that gap. While women make up half of the overall U.S. workforce, they only account for 29% of the manufacturing workforce in this country, Stage said. “Pre-apprenticeship programs like Real Life Rosies help to bring awareness to the manufacturing industry to fill some of the gaps, but we have a long way to go and it starts with educating people at younger ages about careers in manufacturing and earn-and-learn opportunities,” she said. As for Micron, that $100 billion-plus project, considered the largest private investment in New York state history, is expected to eventually create up to 50,000 jobs throughout the region, factoring in the spin-off opportunities for construction and supply chains. The plant’s foundation was poured on July 9. “As America celebrates its 250th anniversary, data and memory are foundational to the modern economy — and Micron is increasing our U.S. investments to more than $250 billion through 2035 to meet that moment,” the company’s president and CEO, Sanjay Mehrotra, said in a news release. Bechtel, Micon’s construction partner in the project, reported that 4,500 people will be employed to help build the facility, including skilled craft professionals, local union members representing various trades and apprentices. The Syracuse-based CenterState CEO organization tallies the regional labor force at 397,582 workers (Onondaga, Cayuga, Cortland, Madison and Oswego counties). Job growth isn’t limited to the Central New York region. For the larger area covering portions of the Mohawk Valley, the North Country, the Southern tier, and the western part of the state, there are 155,601 employees in the advanced manufacturing sector, and 155,275 construction workers. The agency’s 2026 Economic Forecast report noted that 41% of community and business leaders surveyed said a shortage of skilled workers in this area remains a problem, though 77% shared a positive economic outlook for the year ahead. Beyond the semiconductor and advanced manufacturing areas, local business leaders also see growth in small manufacturing companies, storage businesses, housing, unmanned flight technology and general construction. “Productive reuse of property,” the report said, “will hopefully continue to preserve unique architecture while driving business.” The report identified several challenges for economic growth in the region, including an aging workforce, outdated equipment, the rising cost of raw materials and “the disconnect between the speed of business needs and the pace of talent readiness.”
National Fuel Gas Company Announces Plan to Separate Its Integrated Upstream and Gathering Business
Separation to Create Two High-Quality Public Companies, Each with Strong Financial Profiles, Distinct Growth Strategies and Long-Term Value Creation
Nintendo Switch Online adds three new GBA games in October 2026 update
Nintendo Switch Online just added three new GBA games as part of a new October 2026 update. The lineup includes Kururin Paradise, Metal Slug Advance, and Monster Rancher. All of these can be found in the Game Boy Advance – Nintendo Classics app right now on Switch 2 and Switch. Note that a membership in the Expansion Pack tier of...
Gigantic prehistoric snake discovered in India may have been one of the largest ever
A massive prehistoric snake discovered in India may have rivaled the largest snake ever known. Called Vasuki indicus, the 47-million-year-old giant could have reached up to 50 feet long, making it comparable to the legendary Titanoboa. Scientists believe its enormous body made it a slow-moving ambush predator, similar to a modern anaconda.
Does a Russian lab worker’s death carry pandemic risk? Experts say it's unlikely, with one caveat
Some details surrounding a Russian lab worker’s death of an unknown pneumonia parallel COVID-19 news that unfolded seven years ago, but health security experts say they don’t see signs this is a precursor to another pandemic.
Future aviators learn aircraft skills during local event
Girl Scouts from across Southwest Florida explored the world of aviation Saturday, climbing into airplane cockpits, learning aircraft marshalling signals and hearing firsthand from female pilots and paramedics during Girls
Watertown Christmas parade donations at half of goal; frustrated business proposes alternative
Donations for the Watertown Christmas parade sit at half of what’s needed, as a Lewis County business that offered to pay for it says it’s frustrated and is now proposing its own celebration.
Health officials suspect new measles outbreak, this time in Rock County
The cases are linked to each other but separate from a large ongoing outbreak in southwest Wisconsin.
When 1 + 1 = 1: The Miserable Math Behind Many Media Mergers
(Welcome to the “Most Important Story of the Week”, my bi-weekly strategy column analyzing the most important (but often not buzziest) news story of the last two weeks. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. Please subscribe.) The last few issues of this newsletter have circled two topics: September’s streaming viewership and all the Paramount/Skydance/Warner Bros./Discovery merger news. I’m happy to say on the Streaming Ratings Report front, we’ll be all caught up by early next week, then the SRR will come out on a tight weekly schedule. Then, after today, I’ll have slayed my PSWbD dragon. It’s such a big story, it demanded multiple issues. With the announcement of a name (just Skydance) and executive team, though, I think we can almost close the book on this story. In terms of topics, it becomes just another studio to cover. So today, I have one last set of takes on that merger. As I’ve sat with it, reading about who was staying and who was going, a big worry crystallized in my brain, and I gotta get that take out. Plus, I still owe you a host of “ugliness” that didn’t fit in my previous “The Good, The Bad and The Ugly” takes. Let’s dive in! Subscribe Most Important Story of the Week - As Paramount Shuffles Deck Chairs, Will They Build or Consolidate? On social media—I try to avoid most social media platforms, but sometimes I end up checking in—the best joke I saw about the announcement of the new name of Skydance was from fellow reporter Claire Atkinson who pointed out… Yeah, I laughed out loud at that one. Later, though, I saw another Twitter response (that later got deleted, so I can’t shout the person out) that did give me pause. The person noted that the Titanic film made the better analogy: a super expensive project everyone in the town doubted that went on to conquer the globe. So yeah: on one hand, the image of the Titanic recalls the actual ship and its infamous end, but that clip is from a movie which proved the doubters wrong. So for all the skepticism of the latest massive media merger, one could wonder which way this one goes. Does it crash like the Titanic or rise to glory like Titanic, the movie? Either way, this deal is “Titanic”, looking at the massive debt required to close the deal, which is not going well when it comes to borrowing costs for Paramount… …or borrowing costs for Oracle. But I’ve started to get worried about another outcome: the sum of this merger will be smaller and weaker and less profitable than its former parts. In other words, one plus one won’t equal three or two, but an even smaller number. Skydance paid to take a traditional studio off the board, but they won’t really capture the upside. Let me explain what I mean, but first, let’s look at the series of news that inspired this thought. Skydance Sets Its Leadership Team As soon as the Paramount-Skydance-Warner Bros.-Discovery merger closed, the new leadership team announced a new name—Skydance, which I’ll use going forward—and a new executive leadership team. You’ve probably read through all the executive shuffling, but if you haven’t, here’s a quick, incomplete summary, in rough order of importance: Mattel’s CEO Ynon Kreiz—who previously ran Maker Studios—joined as co-CEO with David Ellison. HBO/HBO Max’s Casey Bloys will stay and run streaming. Former head of streaming for Paramount-Skydance Cindy Holland—who was also at Netflix—will depart. The former heads of Warner Bros.—Pam Abdy and Mike De Luca—are out. The film studios will be run by Dana Goldstein and Josh Greenstein. George Cheeks of Paramount will run Skydance TV, controlling all the TV production units. In comic book news, the DC films will still be run by Peter Gunn and Peter Safran. Lastly, the head of CNN, Mark Thompson, will stay in place. Let’s quickly opine on the particulars before diving into the broad ramifications. We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… Who I like and dislike in their next gigs… Why I think this consolidation will likely leave Skydance worse off… The math behind which mergers succeed and which don’t… A lot more ugliness in this merger… And a whole lot more... ...please subscribe! We can only keep doing this great work with your support.
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