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Does technology liberate you or enslave you?
When you can organize and manage things properly, it’s amazing how much you can accomplish without living at work
Proms, parties and gender politics: amazing photos from American dancefloors – and what they tell us about a changing nation
From George Balanchine to the Rockettes, the US magazine regularly ran lavish photo spreads dedicated to dance, with the myriad ways people moved their bodies holding up a mirror to the changing times
David Krumholtz explains absence from “10 Things I Hate About You” reunion, Heath Ledger tribute on“ DWTS”
“Everyone looked so amazing.”
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.
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HOW I GOT STARTED: Jim Brooker
Owner of Starlight MFG Solutions in Fulton was vice president at Otis Technology in Phoenix — until the company closed locally. He then decided to open his own shop. “We are pretty much doubling in size each year so far,” he says By Stefan Yablonski Q: When did you start this business” A: I started Starlight MFG Solutions LLC while I was working at another government contractor. I was vice president of engineering at Otis Technology at their Phoenix location until they closed that facility due to a shift in business at the end of 2023. While at Otis, I was also working on Starlight on a part-time basis. I gained a lot of exposure to a lot of different equipment. That is the kind of service we provided to Otis when we were a part of them. Now we have spun that whole concept off here. Q: How would you describe it? A: It’s a manufacturing engineering firm specializing in custom automation to serve as an outsourced engineering support for companies that need additional resources. I want to make it a sustainable business that can partner with local manufacturers to help them. Q: What is your background; did you go to college with this in mind? A: I am a graduate of Rochester Institute of Technology with both a bachelor’s and master’s degree. My B.S. from RIT was in manufacturing engineering technology and my MS from RIT was in manufacturing and mechanical systems integration with a minor in business. Q: Why this type of business? A: I identified a large gap in the market for companies that needed small to medium help with manufacturing projects. Q: What services do you offer? A: We are focusing more on manufacturing. We do a lot of robotics, we do laser marking, we do filling — pretty much anything that the customer needs. Q: Have you seen any growth since you started? A: Yes. We have been growing ever since the company started. Our specialties include robotics, vision inspection and guidance, rotary-indexing workcells, dispense systems, laser marking, machine tending and more. We provide support to companies that need additional resources. We moved to a facility in Fulton about a year and a half ago. We are leasing our space in Fulton — the former NET & Die facility. We bought our own equipment, we are leasing the space. We have been operating here since early 2024. Q: You’re ready to take on bigger jobs? A: We want to stay in the small to medium size market where the large players don’t want to play. That is kind of where we found our niche. We are expanding regionally to take on more of those projects. My customers are relatively small business. They don’t have in-house automation; engineering and development teams are not feasible. Q: Business has been doing well? A: I am pretty satisfied about where we are at. We are definitely growing year to year. We are pretty much doubling in size each year so far. We are self-sustaining. Q: How busy are you on any given day? A: How busy? That’s kind of relative. We average between three and five projects going on in the shop at any time. We have a backlog that is manageable. We have seen a great demand for laser marking. The work is very relationship-driven. Much of it is based on referrals from other customers. Q: So, you must have a pretty big staff? A: No. I have just one other full-time person, a colleague from Otis. I bring in other people as the projects dictate. I handle sales and the overall operation of the manufacturing processes. We use outside sources for some work. We aren’t afraid to take on the other jobs — but we are filling our niche pretty well. Q: Do you get tired? A: I don’t get tired, no not really. Before this I ran a facility in Phoenix for 12 years. I enjoy solving problems and that part of the job is still my favorite. I have a supportive family life at home that definitely helps a lot. I just love the challenge of it. Q: Do you still live in the area? A: Yes. I live in Phoenix, town of Lysander. Q: What is the biggest job you’ve done? A: We have done some that were pretty good size. I don’t want to get into dollar amounts, don’t want to share gross revenue. We try to use locally sourced components. It is just amazing the components you can find that are locally produced.
BUSINESS UPDATE: A 138-year-old New York Manufacturer Gets Another Life in Fulton
E.J. Willis Co. was founded in New York City in 1888 and for generations it has made ship’s bells and other equipment for the U.S. Navy and American shipbuilders. This summer, the new owner moved the company’s equipment to Fulton By Stefan Yablonski E. J. Willis Co. cast brass ship’s bells — handcrafted in the United States since 1888. Ship bells, “built to last a lifetime at sea,” are now manufactured in Fulton. E.J. Willis Co. has moved its operation and manufacturing business to Fulton. They are currently operating out of N.E.T & Die. The company is now under the ownership of Jonathan Hyatt. He recently acquired the company after seeing a for sale note on Craigslist. [caption id=attachment_11110 align=alignright width=400] Entrepreneur Jonathan Hyatt is the new owner of E.J. Willis Co. He bought the business this summer after finding a listing on Craigslist by chance.[/caption] “I had been looking for something to do. I had been 20 years in corporate America and I was just tired of building someone else’s empire, you know what I mean? I was in consulting, pretty much a jack of all trades. I wanted to do something that I could call my own,” he explained. “I’d been on this path of trying to find a business to buy for about a year. One night I am on Craigslist about 11:30 in mid-April searching for something completely unrelated. At the bottom of Craigslist was a ‘things you might be interested in from outside of your area.’ There was an ad that said 138-year-old bell manufacturing company for sale. So, I clicked; why not, right? I wasn’t looking to buy a manufacturing company, but I went down the rabbit hole, absolutely fell in love with the history and ended up buying it.” He read the ad and responded. “I called and I am talking to the owner of the business for about two hours. We ended with, let’s have another chat and then come on out here and have a look. I figured, well I might wind up getting kidnapped and getting murdered or there is a real business here. But I gotta see it through,” he quipped. “And sure enough, there is a big machine shop operation there. The gentleman who owned it was retiring and in the corner of this shop is a little room where they make bells and they have been doing this ever since the company had started.” That’s the one constant thing that has survived the changes of the business. [caption id=attachment_11061 align=alignright width=300] Sales 1929 general catalog published by E. J. Willis Co, listing all the merchandise it sold. It’s like the Sears Roebuck and Co. catalog for marine parts.[/caption] “I drove home and told my wife, ‘This is what I am doing for the rest of whatever we are calling this — mid-life crisis.’ And she said, ‘absolutely you got to do it.’ I took out a loan and off we go.” He put in an offer on the business and they closed on July 1. He didn’t disclose what he paid for the company. “In terms of price, the seller and I have agreed to keep those terms private.” “I am finding that I am a business owner, an archeologist, opening files and cabinets that haven’t been opened in 100 years. It’s just amazing, just cool things that I am finding,” he said. “I want to build the business back. I want to be able to sell the bells to outsiders. I think they are beautiful. “It’s really a wild story about a company that started in lower Manhattan, exploded in the automotive space, sold parts to the Wright Brothers, moved into the aeronautical world and then landed in marine. The cool thing, I have been digging around and the gentleman who owned the company prior to me was not a digital guy. There is nothing out there. “Now I am sitting here with all the art from like the 1930s, the E.J. Willis boat catalog it’s like 250 pages of things this company used to make. It’s like the Sears-Roebuck and Co. catalog for marine parts. We are modernizing, we are staying true to the heritage of the business. It’s exciting to be the next steward of the whole business.” Initially he thought he’d move everything from the company’s plant in Middleville, Herkimer County, to Boston, out of convenience. “Then I thought let’s keep the foundry where it is. Let’s not move anything right away,” he said. “I want to get a good sense of what we’ve got, what works and what doesn’t. “I went to the foundry and met with the people there, lovely people, and said here is my position — I am buying a company where everyone is retiring. There is machining and polishing to be done, who would you work with around here? Without hesitation they said, ‘you need to go to NET Tool & Die and talk to Michelle [Shatrau]. She is a third-generation machinist and she runs the company now.’” So, he drove to Fulton. “I knocked on the door, they let me in. And she said, ‘how’d you get in here?’” he said with a laugh. “We became fast friends. I told her what I am doing. It must have struck a nerve. She has a very entrepreneurial background. I must have said something right because she came out and she said, ‘I’d love to help you. Why don’t we move the equipment that you have into my large building and I will give you a space to work at and use my team?’” [caption id=attachment_11058 align=alignleft width=300] Bell in progress awaiting assembly[/caption] It’s a great relationship so far. “We are bringing the business into the modern world. It’s been a lot of stuff all at once. But it has been very exciting,” he said. “We moved in a month ago [in July]. We closed on the business July 1. We moved a couple weeks later. We had all our equipment set up, electrical being run, everything. [caption id=attachment_11059 align=alignright width=300] Bell attached to a lathe going through the machining process[/caption] “We’re working with NET Tool & Die to rebuild production and preserve manufacturing processes that, in some cases, existed mostly in the heads and hands of the people who had been doing them for decades. We’re currently working on several 200-pound ship’s bells and bringing an old two-way manual bilge pump back into production.” He said he will be working with NET employees for the time being, adding, “I’d love to get to a point where I have so much growth that I need to hire people.” No one wakes up and says, ‘I am buying a bell today,’ Hyatt admitted. [caption id=attachment_11060 align=alignleft width=225] Bell after receiving a custom etching toward the bell mouth[/caption] “Everyone does wake up and has things that deserve acknowledgment and remembering — a promotion, a marriage, the birth of a child,” he said. “These are the things I feel like if there was something that could capture a particular moment in time and will literally outlast the person that bought it, a bell is that. We can engrave a bell if you get married or the birth of a child. We can put anything on a bell. “I have orders, yes. I am working on several orders right now. We have a little bit of busyness. But there are still some things to work out. I want to make things consistently and continue to move forward.”
*POSTPONED* Behind the Science with Paleontologist and Curator of Dinosauria Dr. Matthew Carrano
***Due to speaker illness, this event has been postponed. A new date will be announced in two weeks. If you registered for this program, please check your email for more information. We apologize for the inconvenience.*** Is the 21st Century the real Age of Dinosaurs? Today, more paleontologists are discovering more dinosaur fossils from more places in the world than ever before. Our understanding of these amazing creatures has leapt forward while their popularity has surged. Museums sit at the junction of these phenomena. The Smithsonian has been a center for dinosaur research for more than a century, and its collections include many iconic and scientifically important specimens. Today, Smithsonian researchers continue to discover new dinosaurs, but they are also uncovering more information about the ones we already know and love. New techniques and approaches allow them to investigate aspects of dinosaur biology, ecology, and evolution in ways that would have been inconceivable to early paleontologists. The result is an ever-improving understanding of dinosaurs as living, breathing, and thriving animals. This month, go behind the science with paleontologist Dr. Matthew Carrano, Curator of Dinosauria at the National Museum of Natural History as he discusses new discoveries at home and abroad, in the field and in the museum. Registration is encouraged. Space is filled on a first come first served basis. ---------------- About the Series: Behind the Science A monthly after-hours series featuring NMNH scientists and researchers Each month, join the National Museum of Natural History for the new series, Behind the Science, where NMNH researchers share insights into their latest discoveries and explore the fascinating questions driving their work—from the origins of life to the future of our planet. Come learn what’s happening behind the scenes and how science shapes our understanding of the natural world. Programs take place in Q?rius, the Coralyn W. Whitney Science Education Center. Topics and speakers announced on a rolling basis, but save the dates now!
Amazing Halloween party inspiration!
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He just has an amazing heart. People don't really, …
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Behind the Science with Paleontologist and Curator of Dinosauria Dr. Matthew Carrano
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Hands-on science can be cool
After spending many long days conducting experiments to find a new way to combat bacterial infections in crops, Misha Hegde and Mia Soleil Maurer have been rewarded with international recognition and access to top research facilities. But these are not typical scientists. They are 16-year-old German high school students.“Our supervisor told us that in order to start a project, you need to begin with either a question or a problem,” says Misha, adding that she and Mia had read about antibiotic resistance in certain plants being treated for bacterial infections. “We found out that antibiotics overuse is very common in agriculture,” explains Mia. “Our aim was to create an alternative to antibiotics and to try to raise awareness of the problem of overusing antibiotics.”Their subsequent research has focused on harnessing bacteriophages, the natural predators of bacteria, to eliminate pathogens threatening food crops treated with antibiotics. At the Schuldorf Bergstraße Jugend forscht MakerLab in Seeheim-Jugenheim, located in the German state of Hesse, they discovered a novel phage that infects the Rhizobium rhizogenes bacterium, which causes the hairy root disease that can reduce yields of tomatoes, carrots, soya beans and other food staples.The students believe their method could curb antibiotic use, while protecting plants from infections without disturbing the natural soil microbiome. “The application of phages is host-specific, so they would only kill the targeted pathogen or disease-causing bacteria,” explains Mia. It may also offer environmental benefits, since applying antibiotics can contaminate groundwater.Getting to this point has not been easy. The childhood friends admit to feeling frustrated when their trials did not yield the expected results. “We spent six months on our first experiment, just doing the same thing over and over and over again, to the point where we thought, is it even worth it? Why are we doing this?” Misha says. “You just need to be brave enough to take that first step and keep going.”The benefits of inquiry-based learningTheir determination has paid off. In 2025, the pair won first prize in biology at Jugend forscht, Germany’s national competition for young people interested in science, technology, engineering and mathematics. They were also among the winners of the German Research Foundation Europa-Preis, which is awarded to selected national winners at Jugend forscht, and took third place in the 2025 European Union Contest for Young Scientists.The Jugend forscht Foundation opens doors for young people to connect with scientists as well as industry professionals. Jessica Bönsch, executive director of the Foundation, sees Misha and Mia as prime examples of how young people can develop a deeper understanding of science through their own research projects. “The experience of working on your own research question is very important,” she explains, adding that “inquiry-based learning engages with real-life problems in a way that can be more motivating than traditional classroom teaching.”The Jugend forscht Foundation offers financial support through sponsor pools in Germany’s federal states. Some projects are developed in cooperation with student research centres, university labs or informal collaborative learning areas called makerspaces. Other activities start as hands-on “garage projects” and can grow within the Jugend forscht network and infrastructure.The Jugend forscht Foundation is also a partner of Science Comes to Town, an EU initiative to strengthen public awareness about science and create bridges between researchers and communities. The EU-financed project involves universities, research institutions and other stakeholders in three host cities — Brest (France), Kiel (Germany) and Split (Croatia).“It's so important for people not to live in a bubble, because I think science can be very scary if you misunderstand it,” Mia says of SCTT. The initiative’s aim of raising awareness about science is “absolutely amazing,” Misha adds. “I think it's the best way to kind of make science digestible for the public. In a world where misinformation in science is getting more radical, more dangerous, becoming more of a threat to the trust in scientific infrastructure and foundations, we need such programmes.”Misha and Mia also believe that SCTT can help break down gender stereotypes in science by encouraging young women to study and pursue careers in scientific fields. Both students have benefited from female mentors and encouragement they had when they were much younger. Mia’s love of science began with a class trip to a lab, while Misha — with a smile on her face — says she wanted to study history until “a teacher kind of coerced me into joining a school science club.”Recognition beyond EuropeIn May, Misha and Mia were among the finalists at the Regeneron International Science and Engineering Fair held in Phoenix, Arizona, and involving nearly 1,700 pre-university students from over 60 countries. “It was very crazy because there were so many people and so many teenagers interested in science,” Mia recalls. The event was also challenging. “It was eight hours of continuously presenting your project,” adds Misha.Attending the fair was a chance for the young women to see first-hand the value of international collaboration as well as how research cultures differ. “America is a bit more willing to take risks, and I think that's something we can learn about here in Europe,” Misha explains. However, she continues, “I think Europe has the talent, has the innovation and has the resources” to be competitive.Misha and Mia plan to continue their phage experiments in the new school year, inspired by the project’s hands-on nature and the support they receive from their supervisors. They have also attracted the interest of professional scientists and received invitations to leading research facilities, including the Centre for Synthetic Microbiology, jointly run by the University of Marburg and the Max Planck Institute for Terrestrial Microbiology in Germany. “It is so cool that we can do something to try to move the world in our school and at this age,” Mia says.After completing secondary school, Mia plans to study microbiology and pursue a career in medical research, focusing on Ebola and other infectious diseases. “This has been my dream for so long,” she says. Her friend Misha is interested in biological research with a focus on medicine. “I've gotten addicted to the process of going to the lab, planning out experiments, then failing, trying again,” Misha says. “I think there's just so much to be discovered, so much to be done.”The students' names and photos were published with the permission of their parents.Science|Business, which connects policymakers, academics and industry through its news reporting, analysis and events, is an SCTT partner.
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Science Vs on the 49ers Substation: Anatomy of a Hatchet Job
In August, Pablo Torre Finds Out and Science Vs released an episode about my theory that electromagnetic fields from the electrical substation beside the 49ers facility may be contributing to the team’s run of soft-tissue injuries. As the originator of the theory, I was also a subject of the episode. I sat was interviewed by Wendy Zukerman and Rose Rimler of Sciene Vs. I sent them research, connected them with scientists, and spent hours digging through the City of Santa Clara’s and Silicon Valley Power’s records to help clarify critical details. Both Wendy and Rose came off as affable and professional, showing curiosity during the interviews, with Wendy going out of her way to question the “conspiracy theory” framing itself. Then they titled the episode We Solve the 49ers Viral Conspiracy Theory. I was familiar enough with their catalog that I never expected them to agree with my theory, but I did expect them to give it a fair hearing and to deliver their findings honestly. On both counts they came up short. They were not directly dishonest in anything they said, but rather in what they left out, in how what remained was cut, and in the picture painted by those two things in combination. They asked me to recorded the interview on my phone for better audio quality, and I held on to my copy for reference later. That turned out to be a fortuitous decision. Here is the raw audio of my first interview, unedited*. Only my side was recorded, so their questions aren’t on it, but you can generally infer them from the answers, and every claim I make below about what I said can be checked against my statements in this clip. (Note: Wendy had connection trouble at the beginning of the interview and was cutting in and out, which accounts for the false starts.) 0:00 -1:19:13 Audio playback is not supported on your browser. Please upgrade. Science Vs is a fun show. It is pitched at roughly a high-school understanding of science, for an audience that is skeptical, Snopes-oriented, and worried about misinformation. Take a claim circulating online, interview a supporter of the claim, interview consensus scientists, and then tell people which side of the line it lands on. I have listened to their episodes on raw milk, seed oils, 5G and other contested issues in the wellness space. I have problems with all of them, but each at least made an honest attempt to represent the actual range of scientific opinion by talking to credentialed scientists with differing perspectives. Dissenting researchers were heard from, answered, and often given a chance to respond. This episode did not do that. This article is not a relitigation of the science. I have written extensively about that already. This post is for the record. It is simply an accounting of what was wrong with their episode. Contents Is there a power plant next to the 49ers practice facility? — the clearest single example of getting something objectively wrong For the record — a high-level overview of all of the problems with their investigation Draw your own conclusions — why they had to make this episode at all What they left out about childhood leukemia — the exposure threshold, and playing games with statistics to minimize sick children What they left out about the mechanism — the body of literature they refused to cover, and evidence for the mechanism used against it The scientists Science Vs interviewed and did not air — four credential scientists who support myhe theory, recorded and cut, or not even called How they misrepresented me and my case — an answer severed from its question, and three telling edits How you would actually study the injuries — it doesn’t actually matter which team is the most injured, overall The theory: magnetic fields, oxidative stress, and collagen Since the episode never states my theory, here it is below. Those who are familiar with my work can skip this section. Electrical equipment produces magnetic fields, and those fields induce faint electrical currents in anything that passes through them, including people. My argument goes further than induced current. Mitochondria — the structures that generate a cell’s energy — run on continuous flows of electrons and protons, and those flows carry faint electromagnetic fields of their own. Maxwell’s principle of superposition shows that when two fields share the same space, they add together. An external field does not need to be strong to alter an internal field, it only needs to be present. The electron transport chain inside the mitochondria leaks a small fraction of its electrons by design, and those become reactive oxygen species — free radicals, which healthy cells use as signals. External magnetic fields cause the rate of leakage to change, increasing free radicals. When free radicals accumulate faster than the cell’s antioxidant systems can clear them, the result is oxidative stress. Oxidative stress is a recognized driver of chronic illness, including cardiovascular disease, neurodegeneration, diabetes and cancer, and it is in every medical school curriculum. One of its ordinary effects in connective tissue is that it switches on matrix metalloproteinases — MMPs, the enzymes that break collagen apart — while suppressing new collagen synthesis. Tendons are made of collagen. An athlete loading his soft tissue heavily six days a week is already creating oxidative stress in the tendons, so the addition of magnetic field exposure compounds the damage and inhibits repair, making him more susceptible to injury when enormous force lands on a tendon in a fraction of a second. That is the theory. We know that EMF causes oxidative stress, and we know that oxidative stress degrades collagen. The only thing missing is a study showing that direct connection. I have never claimed certainty that the substation is contributing to the elevated injury rate. I do believe it is likely, and I believe it warrants caution, and that a revenue machine like a major NFL team can easily afford to remove the exposure out of precaution. Is there a power plant next to the 49ers practice facility? Here is the clearest single instance of the problem with this episode. It requires no knowledge of electromagnetic fields at all. This story first came to me through Jon Feliciano, a former 49er, in an interview on Willard & Dibs on 95.7 The Game. Asked about why the 49ers are always injured, he said players used to joke that it was the power plant behind the practice fields. Wendy Zukerman corrects him on air. “It’s important to say that it’s not a power plant near the 49ers site.” Torre then asks her to explain the difference between a substation and a power plant. Her answer: a power plant generates electricity and transmits it to a substation, which converts the voltage into something your house can use and sends it on to your home or your business. There are two problems with that. The first is that there is a power plant on that site. The Gianera Generating Station is a natural-gas-fired peaker plant owned by Silicon Valley Power, and it has been there since 1986. I have published aerial photographs of the location from 1987 in which the gas plant is the only thing standing, before the practice facility was even there. I even mentioned the gas plant in my first interview. (Feliciano has since gone on record about this issue, and it is clear he had the substation in mind rather than the gas plant.) The second is that her definition describes a distribution substation, and the facility beside the 49ers is not that. It is the Northern Receiving Station, which takes in bulk power from outside the city’s grid and delivers it to distribution substations. Silicon Valley Power’s own map distinguishes receiving stations from substations, and Rose Rimler even reads the label out loud in the episode when she walks through that map on air. A few minutes before the map segment, Zukerman tells Torre: “like I said, we fact check everything.” Well, maybe not everything. I made a mistake On the morning of July 6th, at 10:20, I sent Rose and Wendy two studies. During the interview I had been asked which human studies show oxidative stress from electromagnetic fields, and I had not been able to name one on the spot. Rose emailed asking for the studies, I quickly searched for a couple, and I wrote that I thought these were the most relevant from that search. Unfortunately, I was busy and did not read either one closely at first. I picked them because they were topically relevant — one on substation workers, one on power plant workers. Neither were great studies, and their problems go past the ones raised in the episode. That was careless on my part. There is context that did not make the episode, though. Before that email I had been on a Zoom call with Rose talking about EMF and oxidative stress, and I pointed her to Dr. Henry Lai at the University of Washington, who has spent years aggregating the literature on this question. His tallies show that roughly 90% of studies since the late 1990s find oxidative effects from electromagnetic field exposure — hundreds of studies, systematically counted. Rose told me she was already aware of his work. So when she asked for studies, I understood her to have the aggregate view already and that she would report anything within that context. Not reading those two carefully was still a mistake, but the larger mistake was assuming the episode would be based on a thorough review of the actual body of literature, rather than on whatever I happened to send that morning. The second email At 1:49 that same afternoon — three hours and twenty-nine minutes after the first — I sent them a second email that I had been preparing for a while. It was a structured document in six numbered sections, written in response to a request they had made two weeks earlier, laying out my entire argument with citations attached to every link in the chain. The episode aired on August 13th, five weeks later, and not a single item from the second email is in it. Here is how it opens: The full email is included at the bottom of this post in Appendix B. Nearly 1,500 words in total. It contains two named mechanisms with the physics behind them. Occupational studies in humans. The literature on oxidative stress and collagen. A section addressing the strongest counter-evidence against my own theory, which I raised myself. And a closing section stating plainly what the theory cannot yet show. My entire argument, in writing, with detailed citations for every claim, provided to them five weeks before broadcast, and none of it made it into the episode. That is the single largest omission, but it is not an isolated one. The whole episode is riddled with similar problems, and the conclusion they came to is not merely a difference of opinion about the scientific evidence. Through omission and through strategic editing, Science Vs misinformed its audience — about what the evidence shows, about what I argued, and about who they spoke to. That is a notable outcome for a show whose stated purpose is correcting misinformation. For the record I am not going to tell you that Science Vs set out to discredit me, or that they had come to their conclusion before they reported the story, or that they used misleading editing to make me look like a man retreating from his own theory. I cannot know what was in anyone’s head, and I am not going to pretend otherwise, either. What I can tell you is what is on the record. They asked me for evidence and aired the weakest thing I sent. They interviewed three scientists who supported my theory and aired none of them. They discussed childhood leukemia without ever saying the exposure level at which it appears. And they took an answer I gave weeks before Ken Karipidis, the one EMF scientist who was put on air, was interviewed, and placed it directly after his critique, where it comes off as a major concession. A friend of mine who has worked as a journalist for thirty years read that last one and called it sleazy. I agree with her. Those are just the four issues that are impossible to defend as pure editorial decision, but they are not the only issues. The most glaring issues stem from what they left out: The exposure level at which the childhood leukemia association actually appears — three to four milligauss, a number the episode never states despite it being much lower than what I measured. The mechanism itself: The episode gets as far as “oxidative stress could weaken collagen,” which leaves it sounding like speculation, rather than a known pathway. The second email, and all the studies in it. Dr. Paul Héroux at McGill, whose work my proposed mechanism rests on, whose contact details I supplied, and who was never called. Dr. Beatrice Golomb at UC San Diego, who runs a research group on oxidative stress and mitochondrial function and has specific expdertice in collagen, interviewed and not aired. Dr. David Carpenter at Albany, the most prominent academic voice on the harm from magnetic field exposure, interviewed and not aired. Dr. Joel Moskowitz at Berkeley, interviewed and not even credited. The specific, testable condition I put in writing that would make me abandon the theory. My own unprompted statement of the theory’s evidentiary gap. My caveats about my own measurements. My ranking of EMF as one factor among several rather than the only one. The new equipment installed at those facilities between 2010 and 2014, and the sharp rise in system load from 2013 onward. But that is not all. What they kept, they selectively edited to serve a narrative that was not served by the raw transcripts of the interviews. A description of thousands of commercial routers in a workplace, reduced to the Wi-Fi in your house. My own acknowledgment, multiple times, that "I'm not a scientist" clipped in an episode that spends considerable energy pointing out that I am not a scientist. And a qualification I volunteered about my own measurements, cut from my answer and delivered later by their EMF expert as a correction. Together their edit produce a portrait of a wellness guy with Wi-Fi phobia and two bad studies, backing away from his theory the moment a “real” scientist looked at it. A practice facility where nothing changed because no new substation was built. Injuries written off as random because the 49ers were not quite the single most injured team in the league over the period in question. That portrait is false even though almost no individual statement made in the episode is. Draw your own conclusions At the top of the episode, Pablo Torre says his show had been flooded with requests to investigate the substation — that it was the thing they were asked to look into over and over again. Neither show went hunting for this story. It arrived from their own audience, in volume, and it could not be waved off. A thread I posted on X reached twenty-two million people. A guy with a gaussmeter and a brand-new Substack obligated a Pultizer prize winning program to spend an hour on a question about player health, that is considered fringe enough that most media operations won’t touch it. Pablo Torre Finds Out could not ignore it. So Science Vs came in and ran a “debunking” operation instead of an investigation. Everything below is what had to be left on the cutting room floor to deliver the “debunking”. They could not ignore it. So they tried debunked it instead. The demand was strong enough to force an episode, and since the episodes release the 49ers have sustained more injuries, including season ending ones, and interest has only grown. Demand from fans and playets is strong enough to force a better investigation from someone else. An omission is not a lie until you find out what was omitted. What follows is the detailed record so you can see the full picture. Draw your own conclusions. I have drawn mine. I am going to keep publishing. A note about Pablo Torre Finds Out After the episode aired I posted publicly, calling out Pablo Torre Finds Out for concerns I had about the integrity of their investigation, and about an interview directly with Pablo Torre which had been offered but never happened. I have since spoken with a producer at PTFO. The offer had rested on a misunderstanding about where things stood between us, and it fell away as the Science Vs part of the production widened past the science. He apologized for the miscommunication and I accepted. The producer also confirmed to me that they did essentially hand off the entire investigation to Science Vs for narrative purposes — so Pablo would be genuinely curious or potentially surprised by their findings — while still taking responsibility for what went out under their name. I appreciated the candor and the accountability, and I am comfortable with where we left things. So this post is not about PTFO. My disagreement is with Science Vs. What they left out about childhood leukemia Childhood leukemia appears at three milligauss. They gave no number at all. 1. They built an EMF ruler, then discussed childhood cancer without it. The sequence on air went like this: First I measured almost 9 mG, then I measured up to 50 milligauss. Torre reacts with concern — “that sounds high.” Cut to Karipidis: the public limit is 2,000 milligauss. Torre reacts again — “What happens at 2,000?” Karipidis explains that nothing happens at 2,000, that safety factors are built in. Then: at more than 50,000 milligauss you get flickers of light in the retina, and higher still, nerve stimulation. The listener now has a ruler (their ruler) to measure these numbers with. Fifty is nothing by their ruler. Then the episode turns to childhood leukemia and states, accurately, that there is a real association — but tellingly, they never give the exposure level at which that association appears. Childhood leukemia appears at three milligauss. They conveniently left that out. The pooled analyses that produced the World Health Organization’s carcinogen classification found roughly a doubling of childhood leukemia risk above three to four milligauss. That is the number that belongs in that segment, and it is more than ten times below the reading that had just been dismissed as trivial. I gave them that number myself, on tape, in the interview. Describing my own threshold, I said my comfort level for long-term chronic exposure is three to four milligauss, but preferably one. 2. Six children in thirteen million. The episode reports that these fields might explain one to four percent of childhood leukemias, then reframes it as a German estimate of perhaps six cases among thirteen million children. Torre, to his credit, is uncomfortable. What never gets explained is why that number is small. Almost no children lives above three milligauss in Europe. Fewer than two children in a hundred, in the Italian data. So even if the risk to those children doubles, the number of additional cases across an entire country stays small — not because the hazard is small, but because hardly anyone is exposed to it. Count the whole population and the few who are exposed disappear. And the reason hardly anyone is exposed is that siting rules keep housing away from transmission lines. In Europe, at least. The Dutch government has a standing precautionary policy against building new homes in any zone where the annual average magnetic field exceeds 4 milligauss — the same number the episode never mentioned. Denmark and Norway treat 4 milligauss as the level that triggers a look at mitigation. That is five hundred times below the ICNIRP figure quoted on air. The United States has no federal equivalent. That is evidence of infrastructure siting policy working. It is not evidence that there is no hazard. It is evidence that we already act as though there is one. If you listen to the raw audio you will hear that my proposed solution is EMF exposure is to build better infrastructure. What they left out about the mechanism 3. They accused me of cherry-picking, and then cherry-picked themselves. On air, Zukerman tells Torre that people who worry about electromagnetic fields dismiss the studies showing null results and collect the ones showing harm, and that this is why you have to be careful not to cherry-pick. They had two papers I had rattled off in a hurry, and a second email containing a carefully chosen set. They ran the two weakest, graded them on air, and presented the result as the state of the evidence for not only my theory, but the whole question of oxidative stress from magnetic fields. That is cherry-picking from my emails. The bigger picture is what they did with the literature as a whole. Zukerman acknowledges it exists, dismisses it, and disposes of it in a single stroke. You can go online right now, she tells Torre, and find scores of studies showing these fields increase oxidative stress. The issue, she says, is that they are not studies in people. Many of them are in people. The occupational studies in my second email are in people. That email had been in her inbox for five weeks. She waved off the literature on a factual claim that the documents in her possession contradict. (I have written separately about the evidentiary standard at work here). The effect was that they essentially baited me: ask the subject to supply the evidence, take the weakest thing he sends, and let that stand as a proxy for the whole argument. Wendy has been doing this show for ten years and clearly knows how to extract what she needs for her desired narrative. 4. They presented the collagen-improvement research as a gotcha, but I had already addressed it. The episode treats the existence of studies showing that EMF can improve collagen as a surprise that undercuts me, but I had pre-emptively addressed that five weeks earlier in the email they ignored. Those studies use measured, high-intensity pulsed dosing. The mechanism by which they work is oxidative signalling. The cell reads a controlled rise in reactive oxygen species as a warning, upregulates its antioxidant defenses, mounts a repair response, and the therapy stops before the system is overwhelmed. The key point is that it induces an oxidative response, which means those studies are actually evidence for my proposed mechanism, not against it. A field that produces a therapeutic effect cannot be biologically inert (which is the implication when they say “Nothing happens at 2,000 milligauss). Chronic ambient exposure is the same pathway with no off switch, and it is most consequential during the evening and while sleeping, when the body is in repair mode and the exposure does not stop. Section 5 of my email is titled What about the study showing improved collagen synthesis. I raised the counter-evidence myself, explained why I did not think it refuted the theory, and wrote that I was disappointed the question had not come up in the interview. That is worth holding against the cherry-picking charge in the item above: the studies they presented as inconvenient for me were studies I had gone out of my way to put in front of them. 5. Section 1 of my email stated a critical argument that was never put to the expert directly responsible for it. My email says the exposure limits exist to prevent acute effects and do not address chronic exposure at all, and that my dispute is with the entire framework. Zukerman gestures at this once. After Karipidis gives the 2,000 milligauss figure, she tells Torre that I would object because those levels do not capture “more subtle effects.” That is not my argument, and “subtle” is doing a lot of work here. My argument is that the limits are built to prevent acute effects — nerves firing, muscles twitching, etc — and were not designed to address chronic exposure at all. In fact, ICNIRP’s own documents state as much themselves. Mine is a structural objection to what the standard measures, reduced as a concern about subtlety, it becomes a matter of degree, rather than a categorical difference. They interviewed Ken Karipidis, vice chair of ICNIRP — the body that writes those limits. He was asked what the limit is, but he was never asked how it applies to chronic exposure. The scientists Science Vs interviewed and did not air 6. They interviewed four officials of the standards body. The episode credits roughly a dozen researchers. Four of them are associated with ICNIRP. Ken Karipidis is the vice chair. Rodney Croft chaired ICNIRP from 2020 to 2024 and led the development of its current guidelines. Dan Baaken is ICNIRP’s scientific secretary. Frank de Vocht sits on the Main Commission. One of them speaks in the episode. Their institution’s position is more than adequately represented — the 2,000 milligauss figure, the safety factors, the assurance that nothing happens below the line. 7. The four who were left out. Dr. Beatrice Golomb is Professor of Medicine at UC San Diego — a physics undergraduate degree, a PhD in biology, an MD. She directs a research group whose stated focus is the relationship between oxidative stress, mitochondrial function and health. That is the mechanism the episode spent its first half dismissing. Her published work includes the fluoroquinolone case series behind the FDA’s black box warning on an antibiotic class that ruptures tendons, where the accepted mechanism is oxidative stress and mitochondrial toxicity — the back half of my chain, already on a drug label. She is in the credits. She is not in the episode. She has told me she finds my theory biologically plausible, and that she has a recording of her interview. Dr. David Carpenter directed the Institute for Health and the Environment at the University at Albany for decades and is the most prominent academic voice arguing these fields cause harm. Childhood leukemia is the reason these fields carry a WHO classification at all, and Carpenter is the person you call if you want that case made by someone who has spent a career on it. He is in the credits. He is not in the episode. He has told me that when he was interviewed they could not have been less interested in what he had to say. Dr. Joel Moskowitz directs the Center for Family and Community Health at UC Berkeley’s School of Public Health. He told me directly that they interviewed him and that he thought it went well. He does not appear in the episode, and unlike Golomb and Carpenter, he does not even appear in the credits. Dr. Paul Héroux at McGill is the researcher whose work provides the foundation for the oxidative stress mechanism my theory rests on. I gave Rose his email address and phone number. He was never interviewed. They never even called him. 8. “He’s not a scientist.” The episode leans hard on the fact that I am not a credentialed scientist. Zukerman says it. Torre repeats it. “At all.” Having built a segment on that, they then left out the physicist-biologist-physician, the professor of public health, the director of a university environmental health institute, and the McGill researcher whose work the primary mechanism comes from. They spent the episode telling their audience I am not a scientist, and then kept four actual scientists who support the theory off because their argument does not survive otherwise. How they misrepresented me and my case 9. They played my words as a response to an interview I had never heard. Near the end of the hour, Zukerman says she went to me and told me the evidence was lacking. Then she plays me saying I am not wedded to it being an EMF, that I have staked my reputation on it needing more study, and that I am not certain of anything. That segment was placed immediately after Karipidis had finished taking the cherry-picked papers apart. It plays as a man folding under expert scrutiny. Commenters have used it against me since, but it is incorrect. Here is the sequence as it happened. I was interviewed. Karipidis was interviewed weeks later. I was never told what he said, or even who he was. I was never asked to respond to it. I did not know his name until the episode aired. That is not a simple editing decision. That is a quote from one interview, moved to follow a critique from a different interview it was not a response to, so that it would land as a concession. A friend of mine who has spent thirty years as a journalist read that sequence and called it sleazy. She is right. The full passage is reproduced in Appendix A, and it is worth reading. What airs is the preamble. Four paragraphs later I say “to directly answer your question” — and that answer, about what would change my mind if the team relocated, is not in the episode. Neither is the sentence two paragraphs on, where I say the EMF might turn out to be ten percent of the problem. I will say the underlying point again, though, because I meant it and I still do. I am not wedded to my theory that magnetic fields from the substation are contributing to the 49ers injuries. I could be wrong. What I am wedded to is the process of scientific inquiry, and the fact that we should be cautious around these exposures and we need more independently funded studies. 10. Three telling edits. They cut “I’m not a scientist” mid-sentence. What I said: “...and I am not certain of anything. I’m not a scientist. To me, I find the mechanisms compelling. I will go back to the fact that I got into this not because of the 49ers, but because of clients I was working with who suffer from EDS...” What aired: “...and that I am not certain of anything. I’m not.” The clip ends on the first two words of the sentence in which I say I am not a scientist, in an episode that spends considerable energy establishing that I am not a scientist. The full sequence is in Appendix A. They cut my own description of my work. Asked what I do, I said I run a wellness business, that I am focused on writing software to help people navigate environmental stressors, that environmental health is my focus, and that I also do independent journalism and research. What aired is the wellness business and the environmental health, with the software and the journalism removed from my own answer. The software engineering does come up later — narrated by them, as a hacker who grew up to write firmware — but my current work, in my own words, arrives as “wellness guy.” Thousands of commercial routers became home Wi-Fi. What I described: working at a wireless networking company surrounded by thousands of Wi-Fi routers, and a stress-induced health collapse afterward that working in that environment contributed to. What aired: Wi-Fi, the kind you have at home — reinforced by a clip of Christian McCaffrey talking about turning his router off at night. Three cuts, and every one of them makes me seem less credible. That is not a coincidence. 11. I gave them my own caveats and the test that would disprove me. In the first email I wrote that a well-designed chronic, ambient-level exposure study in tendon showing no collagen degradation, run over many months, would undercut my confidence in the theory. That is a specific, testable condition, stated in advance and in writing. There was a second interview, weeks later, which was not used in the episode, but in that I asked again for the falsification criterion to be included. What the episode presents instead is a man saying “we need more study,” which reads as a hedge, an open-ended request for the benefit of the doubt. It is the opposite of a hedge. Section 6 of my second email says, unprompted, that as far as I am aware there is not a single study showing EMF-driven oxidative stress degrading collagen in a human in vivo or in human tendon in a lab. I wrote that because it is true and because it is the first thing anyone should check. Under their standard it becomes the hinge of the entire first half, framed as something they had to surface without my cooperation. I had handed it to them five weeks earlier. And in the interview I said that my 25 to 50 milligauss readings were taken at knee level, and that these fields attenuate quickly, so by the time it reaches your head it is not that high anymore. That did not air either. The qualification arrives later, from Karipidis, as a correction. How you would actually study the injuries 12. They measured the wrong thing. The episode spends its final act on whether the 49ers are the most injured team in the NFL, finds no clean ranking, and lands on “injuries are random”. That is the wrong test. You would define the exposure — measured field levels at the facility — and the outcome narrowly: soft-tissue injuries, not a single MSK injury count that a broken finger and a ruptured Achilles both land in. Then you would compare the 49ers to themselves before and after the exposure changed, and compare that change against every other team over the same window. That controls for league-wide shifts in rules, turf and training load. It is a difference-in-differences design, and it is standard. I sent them that argument on July 28th, in writing, along with the fact that in eleven of the past twelve seasons the 49ers had finished top ten in Adjusted Games Lost. And by the episode’s own reporting, the 49ers are second in games lost to injury over the past decade, with FTN’s Aaron Schatz confirming that once you adjust for starters they come out second worst in the league — after having been one of the healthiest teams for years before that. A finding like that is where an investigation starts, not where it stops. 13. I did a lot of substation research for the episode that was never aired. I had reported that the substation next to the facility was expanded in 2014. That was wrong, and Rose Rimler and I sorted it out together. They gave me credit on air, which I appreciated, but framed it as a concession on my part to something they had found. In fact I had been investigating it myself, was uncertain before they asked, but was waiting for clarification from Silicon Valley Power. The uncertainty centered around a substation named “Esparanca” that was proposed right behind the facilities as part of the stadium construction, but now appears to never have been built. I spent days in Silicon Valley Power’s records, and did eventually reach Silicon Valley Power for confirmation and indentified the mistake myself. I also gave them highly detailed documents on what we do know about those facilities: new equipment installed between 2010 and 2014, and load growth across the system with an inflection around 2013–2014, with the Northern Receiving Station carrying the highest capacity in the system and sitting closest to the data center corridor. None of that is in the episode. I have a separate piece about it coming out soon. *I cut 2 seconds from the raw audio to remove personal information that had no connection to anything in the episode. Appendix A: the passage the clip was taken from This is the sequence from my first interview, in full. The episode uses one fragment of it. It’s tricky because my understanding is that there’s something like a 15-year half-life on collagen remodeling issues. They’re going to get a new crop of players. What I really need, though, is for the injuries to be broken down so we can see the soft tissue injuries. Right now, they’re categorized as MSK injuries, but let’s say we can actually identify them more specifically. Is that right? He was able to do that? Oh, cool. I wasn’t able to find that information. Interesting — I didn’t know that data existed. I tried so hard to get it, and I didn’t know it was available. Maybe you could connect me with that person. That would be amazing. I’m not wedded to it being an EMF, honestly. I’m not. I would say that, to a certain extent, I’ve staked my reputation on the fact that it needs more study. It’s important to look into it, and I am not certain of anything. I’m not a scientist. To me, I find the mechanisms compelling. I will go back to the fact that I got into this not because of the 49ers, but because of clients I was working with who suffer from EDS, Ehlers-Danlos Syndrome, a tendon hypermobility issue. This condition is documented to be partially caused by oxidative stress. I’ve worked with them to mitigate their EMF exposure and have seen people improve. I think it’s a bigger story. In a way, the 49ers represent an occupational cluster with specific exposure risks. If someone would conduct a study on this, I believe we could learn a lot. Perhaps we would discover that it’s like, okay, maybe it’s 10% of the problem. I don’t know the exact number, but I think either way, conducting the study would provide valuable insights. To directly answer your question, it’s challenging for me because it’s part of a bigger story. If the 49ers move and stop having injuries, I might conclude that it was related to the substation. However, if they move and still experience injuries, I would want to analyze the nature of those injuries. Are they primarily soft tissue injuries? I don’t think it’s necessarily a case closed, but the story might lose traction at that point regardless. Three things are worth noting. The aired fragment stops immediately before the sentence in which I say I am not a scientist — the cut described in item 10. It also stops four paragraphs before the words “to directly answer your question.” What the episode plays is the throat-clearing. The actual answer, about what would change my mind, never airs. And two paragraphs in, I say the EMF might turn out to be ten percent of the problem. That is the ranking the episode says I never gave. Appendix B: the full email, July 6th, 1:39 PM Hi Rose, You asked me to send you some studies a couple of weeks ago. I apologize for the delay. I have been incredibly busy. I also wanted to give you a chance to dig in yourself, and get your own perspective before I influenced you too much with mine. That said, I do want to make sure that the actual argument is abundantly clear, so here it is! One note before I begin, there are really two separate questions here: Does the substation cause the soft-tissue injuries? That was my specific claim, and what the podcast is about. Is the theory biologically sound? Can 50/60 Hz fields at these levels do anything biological below the safety limits? Question two is why people have been calling me a conspiracy theorist. The regulatory and advisory bodies (ICNIRP, etc) maintain that anything below their exposure limits is biologically inert, and that position is broadly accepted within the mainstream, but the actual science paints a different picture. To defend my theory I’ve had to defend a much larger claim: that the advisory bodies have the biology wrong. I can’t honestly answer question 1 without first addressing that. Here’s is a simplified outline of my theory, with links to studies: 1. Advisory body thresholds for biological effects The ELF magnetic-field limits (ICNIRP’s ~2,000 mG public / 10,000 mG occupational) exist to prevent acute effects from exposure. If a magnetic field is strong enough, it makes nerves fire and muscles contract. Muscles twitch. You can see faint flashes of light in your vision. People can even feel tingling or even a shock. That happens due to Faraday’s law, which states that a time-varying magnetic field induces an electric field inside the body via the creation of Eddy currents.The standards assume that those currents do nothing below the twitch threshold. They do not consider chronic effects at all. My argument is that they are biologically active and do have chronic effects. 2. There are multipe ELF-EMF mechanisms for inducing oxidative stress. This is basic biophysics. Below are the two primary mechanisms. Simplest first. Dr. Paul Héroux of McGill has the most intuitive explanation, which rests on Maxwell’s principle of superposition: because Maxwell’s equations are linear, two sets of electromagnetic waves sharing the same space simply add together. In the interview I pictured a pebble dropped into a pond, sending out clean ripples. Then a boat motors past at distance, sending larger waves, and where they meet the ripples, the two add together and the original pattern gets distorted. In our cells, the mitochondria run on continuous currents of electrons and protons that carry their own faint electromagnetic fields. An external field from a substation, by the principle of superposition, adds to those internal currents and shifts the pattern. The electron transport chain in the mitochondria leaks a fraction of its electrons by design as reactive oxygen species (ROS), which act as signalling molecules in a healthy cell. Distorting that field increases that electron leakage, creating oxidative stress. A tiny electromagnetic interference results in a large downstream effect. https://www.sciencedirect.com/science/article/pii/S2405844025006474 The more complex pathway is Dimitris Panagopoulos’s Ion Forced-Oscillation / Voltage-Gated Ion Channel (IFO-VGIC) mechanism. Weak, polarized, low-frequency fields force the ions (calcium, potassium, sodium) next to an ion channel’s voltage sensor to oscillate; because that force scales with the inverse cube of the distance involved, fields far below the stimulation threshold can still force the channel open, disrupting the cell’s ion balance and driving ROS overproduction (Nitric oxide and superoxide interact and produce peroxynitrite, a highly unstable cytotoxin that breaks down into free radicals). https://www.researchgate.net/publication/366088934 https://www.spandidos-publications.com/ijo/59/5/92 https://www.mdpi.com/1422-0067/22/18/10041 https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1585441/full https://pmc.ncbi.nlm.nih.gov/articles/PMC3772193/ 3. Evidence of oxidative stress, in vivo, in humans from ELF-EMF There are many studies, and the strongest are occupational, which applies to the 49ers situation. 115 power-plant workers vs. 145 office controls. Serum malondialdehyde (MDA, the standard lipid-peroxidation marker), superoxide dismutase, and catalase were all significantly higher in the exposed group, and the markers rose with increasing field exposure. https://journals.sagepub.com/doi/abs/10.3233/WOR-203244 A follow-up where they reversed the oxidative stress in power plant workers. A double-blind randomized controlled trial: 91 power-plant workers given vitamin E, vitamin C, both, or placebo for 90 days. The antioxidant groups showed reduced lipid peroxidation and raised antioxidant capacity versus controls. https://pubmed.ncbi.nlm.nih.gov/32191586/ A spot-welder study: 46 welders occupationally exposed at 50 Hz, showed significantly altered red-blood-cell antioxidant enzyme activity and concluded ELF-MF “might act as an oxidative stressor… even at the recommended levels of exposure.” https://pubmed.ncbi.nlm.nih.gov/18504600/ A substation-specific study found oxidative stress and DNA damage https://pubmed.ncbi.nlm.nih.gov/24460415/ 4. Oxidative stress degrades collagen This half isn’t controversial at all. Oxidative stress activates the matrix metalloproteinases (MMPs) that break collagen down and suppresses its synthesis. Here are three example studies: Siwik et al. 2001: Oxidative stress raises MMPs and lowers collagen synthesis in cardiac fibroblasts. https://pubmed.ncbi.nlm.nih.gov/11121376/ Fisher et al. 2009: Collagen fragmentation drives oxidative stress and elevates MMP-1 in aged human skin. https://pmc.ncbi.nlm.nih.gov/articles/PMC2631323/ Varani et al. 2006: Decreased collagen production in oxidatively aged skin. https://pubmed.ncbi.nlm.nih.gov/16723701/ 5. What about the study showing improved collagen synthesis I’m glad you asked this question, and I’m bummed we didn’t get to it in the interview because it is a great question, and very important to understand. Superficially it may appear to be a refutation of my theory, but I would argue that it actually supports the underlying argument. That study used a short, high-intensity pulsed dose: therapeutic-PEMF, the same type of field used clinically to stimulate bone and tissue healing. The reason this works is because it triggers the very same biological pathways that can lead to oxidative stress. The exposure still stimulates ROS production, but done at a controlled dosage, for a limited duration it has a different effect. The cell reads the ROS as a warning signal and it upregulates its antioxidant defenses, and mounts a repair/proliferation response. The therapy is then stopped before the cell gets overwhelmed. That is essentially a hormetic response: a small dose of a stressor producing a beneficial adaptation. Two things follow: At the very least, this means the field is biologically active, which by itself undercuts the regulatory claim that these fields are inert below their thresholds. There is a wealth of literature on PEMF (pulsed EMF) bone regeneration and calcium channel signalling (which is the second mechanims in section one). Here is one. https://www.nature.com/articles/srep13856 At best, it leads us straight to my actual concern, which is that under chronic, chaotic and unregulated exposure, the cell’s antioxidant capacity gets overwhelmed, resulting in oxidative stress. There are plentiful examples of things that are beneficial at controlled doses, but harmful at uncontrolled doses. Excecise is one obvious, uncontroversial example. Botox is perhaps a more interesting example. 6. What about a study that shows EMF causing collagen degradation in humans? As far as I am aware there is not a single study showing EMF-driven oxidative stress degrading collagen in a human, in vivo, or in human tendon in a lab. There are studies involving isolated fibroblasts though, which secrete collagen. The most relevant one showed that human fetal scleral fibroblasts exposed to 50 Hz ELF-EMF showed a significant decrease in collagen synthesis and that MMP-2 expression was upregulated, which is the exact mechanism I described in section 2. https://pmc.ncbi.nlm.nih.gov/articles/PMC3626379/ That’s it! Thanks again for the interview. Best, Peter Anthony Cowan Environmental Health · Wellness Tech · Researcher & Journalist Publisher & Editor, Living Energy Bio: petercowan.comSocial: X · Instagram · TikTokApp: sunlightis.lifePhone: [redacted]
Engrams Embedding Entendre: Codesign for Efficient DRAM/SSD Offloading
Engram extends standard token embeddings with learned multi-token lookups. Recurring local patterns retrieve vectors directly, reducing the need to reconstruct them through attention and feed-forward layers. With Engram model architecture optimization, it allows for lower HBM capacity to be needed for models at the same quality. This does not mean there won’t be an insane demand for HBM but it just means that model architecture will continue to innovate around constraints. This model architecture design is naturally codesigned for parameter offloading: each token accesses a few embedding rows whose addresses depend on token IDs, not hidden states. The runtime can prefetch those rows from host DRAM while earlier layers compute, keeping the table outside HBM without transferring entire weight matrices. Our Memory model contains our latest estimates of quarter by quarter HBM, DRAM, & NAND supply and demand. Offloading frees HBM for model weights and KV cache, potentially supporting larger batches or more concurrent sessions. When DRAM becomes the next constraint, NVMe offers another tier. Recommendation systems already cache frequently or recently accessed embedding rows in faster memory while backing colder rows with SSDs. After NVIDIA roadmap had to change due to massively despec’ing Rubin Ultra from 1024GB to now ~200GB of HBM per chip, model architecture optimizations like emgram maybe helpful. Our DeepSeek-V4.1-Flash configuration uses roughly 189 GiB of memory for Engram. We replace it with a memory-mapped (mmap) file and measure serving performance with offload to SSD. Later on in our report, we will show our Engram offloading experiments along with the official InferenceX agentic inference serving results on Engram models like DeepSeekv4.1 Flash across all 6 NVIDIA GPU SKUs along with MI355X. Unsurprisingly, the CUDA Moat is still mogging MI355X on the ultra popular DeepSeekV4.1 Flash model. We also show how even on high capacity HBM SKUs, offloading emgrams to DRAM could result in even better performance for most of the pareto than keeping the emgram in HBM. Our benchmark has been widely reproduced, validated and/or supported by almost every major buyer of compute from Google Cloud to Microsoft Azure to Oracle, to Meta and many more. Furthermore, it has the support of the ML community including from vLLM, LMCache, SGLang, PyTorch, Huggingface and the support of major labs like OpenAI, MiniMax, ZAI, Qwen, Moonshot Kimi, etc. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, Jalapeño, Nvidia Rubin NVL72, AMD, and soon, SambaNova and Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UALoE72 too. DeepSeek did not release the original paper’s two trained Engram models. We replicated its setup on fineweb-edu using the released code and training hyperparameters, at an estimated 6E18 FLOPs per run. We observed the same U-shape scaling: Engram improved performance over pure MoE baselines. We also reproduced DeepSeek’s results, where earlier-layer representations with Engram resembled those of later layers. Like the original Engram paper, it is possible to probe Engram’s gate scores to see what n-grams DeepSeek-V4.1-Flash makes the most use of. Our gate scan finds names, code fragments, relational phrasing, and boilerplate. These examples prioritize interesting-ness over gate strength. One unexpected result was Wright : Ace Attorney. These examples suggest learned memory optimizes the training objective, not a judgment of which facts deserve storage. Licenses, bibliography fragments, API scaffolding, and website furniture can provide prediction shortcuts, so the value of additional Engram capacity may depend on what survives data preparation. This does not show that table capacity is “wasted”: the evaluation-corpus scan establishes neither training exposure nor the capacity occupied by each category. For offloading, strong gates do not identify cache-hot rows. Low gates do not automatically save reads either: computing the gate requires the retrieved key and undoes the performance gain of a fused kernel. Skipping reads would require a separate usefulness predictor before retrieval. In the original paper’s inference-time ablation, factual-knowledge benchmarks retained just 29–44% of their original performance, while reading comprehension retained 81–93%. This is due to the training–inference mismatch. The resulting degradation therefore measures this trained model’s dependence on Engram, not the performance difference between models trained with and without it. In our ablations, suppressing Engram worsens token likelihood across all evaluated domains, especially encyclopedia text and several code corpora. Surprisingly, GSM8K accuracy stays within measured run-to-run variation and removing Engram has no effect. Engram is not a detachable dictionary beside an unchanged MoE. Removing it changes downstream features and expert selection. We tested whether rerouting hurts or compensates by holding tokens fixed in a teacher-forced experiment on CRUXEval, a code-reasoning benchmark of small Python functions where the model predicts a function’s output from its code and an input, and scoring the reference answer. Removing Engram raised answer loss from 0.2848 to 0.3093 bits/token. Forcing the ablated model to use the original Engram-on expert choices made it worse still, at 0.3375 bits/token. Rerouting partially compensates for the missing memory. Memory features and expert selection work together, rather than following a clean “memory stores facts; experts reason” division. On the same CRUXeval, removing Engram during either phase reduced accuracy and increased generated tokens; removing it throughout produced the largest changes. Keeping Engram for prefill leads to more correct answers than keeping for decode likely due to semantically richer KV cache transferred to decode workers, allowing it to mitigate some of the performance loss. Engram’s table is large, but each lookup is small. DeepSeek-V4.1-Flash requests 24 rows at each of two Engram layers, about 12.4 KiB per processed token position across the model, or 3.1 KiB per GPU when split across four GPUs. Currently as of Day 7 since Model Release, MI355X is still 2-4x worse performance per dollar compared to B200 even when normalized by Mi355X’s lower TCO. Our full total cost of ownership breakdown comes from our AI Cloud TCO Model along with monthly market surveys of over 100+ gpu clouds & gpu cloud customers. On the Day 0 release of DeepSeekv4.1 Flash, NVIDIA vLLM works out of the box with zero issues across all 6 SKUs: H100, H200, B200, B300, GB200, GB300! This was thanks to the amazing work by the NVIDIA & Interact teams! In comparison, AMD vLLM did not work on day 0 for DeepSeekv4.1 Flash.Source: SemiAnalysis InferenceX AMD’s vLLM documentation points to using vllm/vllm-openai-rocm:deepseekv41-flash-0909, but from hour 0 of the model release to hour 23, AMD has not publicly released the image. AMD claims, “SPEED IS THE MOAT,” yet it has still not released it by the 23rd hour. We wish that, going forward, the AMD team has a better process for hour 0 model releases. Eventually when they did publicly release for “day 0” image support, performance-wise, it is currently up to 14.8x worse perf per dollar than H200 and up to 42x worse perf per dollar than B200/B300. The power of the CUDA MOAT is NVIDIA’s collaboration with its massive 6 million-developer community ecosystem including most of the vLLM & SGLang & Tokenspeed maintainers which means that CUDA is optimized on day 0. Overall, AMD did make significant improvements but the performance per dollar is still currently 2-4x worse than B200. AgentX Engram DRAM Offloading Improving Performance The HBM and DRAM offload use the same GPU kernel to select and dequantize rows. With HBM, it reads GPU memory; with Unified Virtual Addressing (UVA), it reads pinned host memory directly. Both support full decode graphs. Moving the table into HBM accelerates only the sparse lookup, leaving decoder computation and communication unchanged, resulting in little overall benefit while consuming memory otherwise available to KV cache. Another benefit of Engram offloaded to DRAM which means you can reduce the communication overhead by using less HBM GPUs per replica. For example, when enabling Engram offloading on B300, we are able to switch from TP4 to now TP2 which improves the pareto curve by up to 1.6x. When iso-model quality, less HBM is required as the engrams could be offloaded to host DRAM. Thus HBM bandwidth matters way more than HBM capacity. For inference workloads where memory bandwidth matters the most, 4-hi HBM provides the best $/bandwidth and therefore lowest cost per token. If China continues to make more and more revolutionary model architecture innovations, soon it could potentially 0Hi HBM stacks. [ ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) [ Long Live the Short King: Why 4-hi HBM Wins ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Myron Xie, Bryan Shan, and 3 others · Sep 13 [ Read full story ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Moreover, on B300 and week-0 stack, moving the Engram table back to HBM did not improve results and stay within run-to-run variance. This is a result of the work optimizing DRAM offload, such as async, and overlap. SSD Offloading On B200, we created a unoptimized vLLM fork and stored the Engram tables in memory-mapped files on local SSDs. File backing lets the OS reclaim table pages when other applications need RAM. Pages already cached in memory can be served without reading the SSD again. Furthermore, note that we were unable to turn on GDS The unoptimized SSD implementation changes how rows reach the GPU. It copies row IDs to the CPU, deduplicates them, gathers the requested rows into pinned buffers, copies those rows back to the GPU and dequantizes them. This work runs between segments of the GPU execution graph. Native UVA performs row selection and dequantization directly on the GPU, avoiding the CPU round trip. A warm filesystem cache removes physical SSD reads, but leaves the coordination, row gathering and transfers. This is why a file already cached in RAM can still perform worse than a pinned DRAM table. The comparison measures the whole serving path; it does not separate the time spent on each of these operations. B200 DRAM dominates both measured SSD serving curves in total tokens per dollar and P90 interactivity. Near 125 tokens/s/user, DRAM delivers 121 million total tokens per dollar versus 52 million for SSD. For production serving, SSD offloading is likely not worth the tradeoff. On the B200 configurations we measured, SSD offloading loses on both measures: every observed SSD point has a DRAM alternative that delivers higher P90 interactivity and more total tokens per dollar. The only points where Cheaper storage does not automatically produce a cheaper inference service. Moving Engram to SSD leaves the same four expensive GPUs and the rest of the server in place. Reclaiming RAM only creates an economic benefit if it enables a cheaper server configuration or additional useful capacity. The current unoptimized path provides neither benefit, and the filesystem cache still consumes RAM when table pages are resident. Next we will look at the mechanisms and specific implementation of ngrams from DeepSeekv4.1 Flash, LongCat, Qwen3.8 Flash Next.
Jim Cramer Believes Sphere Entertainment (SPHR) Is “Amazing”
Starting the lightning round of the September 11 episode, a caller asked if they should keep their “best winner” Sphere Entertainment Co. (NYSE:SPHR). Jim Cramer replied: Oh yeah, Sphere is really, I got to tell you, everyone at one point was telling… Dolans that they’re not geniuses. I question that. I think Sphere is amazing. […]
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How the WNBA became a political prop in the culture wars
Despite record viewership and attendance, and amazing talent across the league, the WNBA has been caught up in the national conversation about the culture wars. Sportswriter Sabreena Merchant says, “everything in the WNBA seems to take on a political lens far beyond what is actually happening on the court.” Merchant spoke with Fresh Air guest interviewer Sam Fragoso (host of Talk Easy) about the expansion of the WNBA, the race and gender politics consuming the narrative, and the departure of commissioner Cathy Engelbert. Merchant writes for The Athletic, from the New York Times.Also, film critic Justin Chang reviews Practical Magic 2. Subscribe to our free weekly newsletter Follow us on Instagram Subscribe to our YouTube channel Check out the Fresh Air Archives
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Small Business Spotlight: Guitar shop aims to strike a chord
WHAT MADE YOU WANT TO OPEN STRING THEORY GUITARS INC.? ALLISON & LEE WILLIAMS: “We are lifelong musicians with a passion for playing. We love Wilmington and the live music scene here, and we wanted a way to be a part of the music community without having to start work at 9 p.m. We also want to be a destination for residents and musicians performing in and around the downtown area.” WHAT DOES YOUR BUSINESS PROVIDE, AND HOW DO YOU THINK IT HELPS CUSTOMERS? We love Wilmington and the live music scene here, and we wanted a way to be a part of the music community without having to start work at 9 p.m. We also want to be a destination for residents and musicians performing in and around the downtown areaTHE WILLIAMSES: “We’re a true basics-to-boutique destination. If you’re someone who’s just starting out, we can set you up with high-quality, brand-new equipment at a great entry-level price point. When you’re ready for your dream guitar, we can help you design and create a fully custom electric or acoustic guitar to your specifications. We have a broad selection of both guitars and amplifiers for players of every level. We also have a community board in the store to connect bands, students, instructors, repair technicians, and anyone providing a service to the local music community.” WHAT PAST EXPERIENCE DO YOU HAVE THAT LED YOU TO CREATE STRING THEORY GUITARS? THE WILLIAMSES: “Lee has played guitar for almost 40 years, from middle school band to gigging rock bands. Allison has a background in orchestra and musical theater, as well as retail management. We worked together as a husband-and-wife team in manufacturing for many years prior to moving to Wilmington. Having shopped in countless music stores over the years, we set up our shop with the goal of being welcoming and inviting. Our philosophy is ‘if it’s on display, it’s for play.’ No instrument or amplifier is out of reach in our store.” WHAT GOALS DO YOU HAVE FOR GROWTH? THE WILLIAMSES: “We would love to grow the bluegrass and folk instrument segment of our business. We carry banjos, mandolins, resonator guitars, ukuleles and related accessories. We’ve seen and heard plenty of talented bluegrass and folk musicians around Wilmington, and we look forward to expanding our selections to support this growing segment of the local music scene.” WHAT CHALLENGES ARE YOU FACING RIGHT NOW IN YOUR BUSINESS? THE WILLIAMSES: “Getting the word out about our brand and some of the unique brands we represent is a challenge for any new business. Online exposure through the Cargo District, Wilmington Downtown Inc. … and our online following is steadily growing. Our other challenge is the logistics of our streets. Our neighborhood is amazing, and you could spend the entire day walking around the Cargo District. As the District continues to grow, we’re seeing more pedestrian traffic, particularly in crossing 16th and 17th streets. We’ve seen some improvements in traffic calming, but the sooner we can improve safety with crosswalks and pedestrian signals, the more welcoming our neighborhood will be.”
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Saber's newest game trailer takes a shot at Gearbox's CEO, if you look closely
The first hint that something might be up with the recent debut trailer for Saber Interactive’s Rideshare Stimulator is an unusual choice of words—aside from that second one in the game’s title. “Don’t take your passengers too seriously,” the trailer’s narrator says, as he describes this upcoming game. It a car game about the gig work of driving eccentric people to their destinations, a riff on Crazy Taxi. And then, he says: “When I think I’ve met the randiest of passengers, someone even stranger gets in.” “Randiest”? That suggests “randy,” which usually means having strong sexual desire. Yet none of the oddball backseat occupants featured in the trailer seem particularly lustful. One is an old man who considers his grandson a failure, another shares the theory that birds might control traffic lights, another says he’s banned from an aquarium. A little later, there’s a license plate, shown 63 seconds into the trailer, on the front of an SUV: USB DRV It’s a Texas plate. The symbol between those letters is a cog wheel. If you know, you know. That’s a reference to Texas-based Borderlands game development studio Gearbox Software (their logo features a cog wheel). More specifically, it’s a reference to Gearbox’s CEO Randy Pitchford, who in 2018 found himself explaining the nature of video he’d saved on a USB drive that was found at a Medieval Times restaurant before being returned to the studio: “It was ‘barely legal’ porn. This girl’s handle was ‘Only 18.’” The “girl” in the video had committed a solo sex act that Pitchford, an avid practitioner of magic, found remarkable. “I realized, this is not a sex worker…This is a fucking magician.” Back then, the USB drive was central to competing lawsuits against Gearbox by the studio’s former lawyer and by Gearbox against him. A settlement in late 2019 “exonerated” Pitchford, per the Hollywood Reporter. The USB story has resurfaced at times, now in a trailer from a company that not long ago was corporate brethren with Gearbox. Saber vs. Gearbox The head of Saber told Game File that the reference is payback. “The dig is because Randy took shots at Embracer in Borderlands 4,” Saber CEO Matt Karch told me when I asked him about the license plate. “Without Embracer, Randy is performing magic tricks at birthday parties for a living.” Having interviewed Karch during a cross-country flight in late 2024, I can confirm that Karch was unimpressed with Pitchford during their time both working in the Embracer group. I’d approached him not out of surprise that there was animosity but that it was manifesting publicly now. Gearbox was founded in 1999, worked on a port of Halo early on, and developed hit series such as the loot-based sci-fi shooter Borderlands before it was purchased by The Embracer Group in early 2021 for $363 million (with a possible earn-out of over $1 billion, if certain targets were hit by 2027). Saber was founded in 2001, worked on a remaster of Halo early on, had a big hit with zombie shooter World War Z and was purchased by Embracer in early 2020 for $150 million, with a potential earn-out of up to $375 million. For a few years, the Embracer group was a voracious acquirer of game studios. Then, as investment dried up, it choked. In March 2024, Embracer sold Saber to an investment company controlled by Saber CEO Matt Karch, and it sold Gearbox in an all-stock deal to long-time Borderlands publisher Take Two Interactive. Other studios were shut down. Hundreds of developers were laid off. Gearbox didn’t say much about their Embracer experience, nothing too direct, at least. In the summer 2024, Pitchford told reporter and occasional Game File contributor Nicole Carpenter that Borderlands 4’s story was in some way thematically connected to Gearbox’s experience at Embracer: “There’s this cultural and emotional shift in me, personally, and at the studio. What does it mean to trade some autonomy for organization?” When Borderlands 4 came out, there was something stranger: the matter of “Embracer’s Bluff,” a location in the game featuring an AI-powered toilet and a large trash dump, according to a detailed Kotaku account of the place. Gearbox never commented on it; Take Two never got back to me about it when I asked them last year. By contrast, since Saber exited Embracer, Karch has been one of Embracer’s biggest defenders, casting their management as well-meaning and supportive despite the layoffs and studio closures that resulted from their excessive expansion. Like others, Saber’s Karch saw Embracer’s as a shot. With Rideshare Stimulator’s trailer, he’s returned fire. “It’s amazing to me how fast people forget those who went above and beyond for them,” Karch told Game File. A rep for Gearbox did not comment by press time. Game File is a reader-supported publication. Your backing makes my reporting—including any coverage of trailer-based beefs—possible. Good news! I’m currently running Game File’s first big sale of 2026. You can get a one-year subscription for 23% off. Click here to take advantage of the limited-time offer. And thank you for your support! Item 2: In brief… 🚫 Wal-Mart has laid off the staff of Restart, a games media outlet launched in 2024, Aftermath reports. 🟥 A GTA VI preview is on the way, at last, via an “extended look” that will premiere, unusually, on Netflix at 3pm ET on August 27, then officially go live elsewhere six hours later. Last week, Game File noted that Take Two label Rockstar Games is overdue for showing off GTA VI, based on the timing of the initial hands-off previews of GTA V and Red Dead Redemption 2. During a call with investors, Take Two CEO Strauss Zelnick said pre-orders for GTA VI were “unprecedented and astonishing,” but added the company can’t predict how many of those pre-orders represent bonus sales vs. sales that otherwise would have been made at launch. During the same call, Zelnick was noticeably bullish on the future of playing games over streaming cloud connections (predicting wider adoption in three or so years). He sounded unbothered by Sony’s plans to stop making discs for new games (he said the business is 90% digital already and predicted that there could still be limited edition physical editions of games “in the same way there’s still vinyl in the recorded music business.”) 👀 Take Two wrote off $43 million in their spring quarter after deciding “not to proceed with further development of an unannounced title in its pipeline from a third-party developer.” 🤔 Some rare age-demographics from a big publisher: Capcom recently told investors that “users in their 20s account for approximately half of the users of both Pragamata and Resident Evil Requiem.” Item 3: The week ahead Tuesday, August 11 Game releases: The Elder Scrolls IV: Oblivion Remastered (Switch 2; already out for PC, PS5, Xbox) continues the Bethesda strategy of putting Elder Scrolls games on everything; Royalty Free-For-All is a Smash Bros.-style fighting game featuring public domain characters such as Mother Goose brawling with Oliver Twist in a stage based on the original Little Shop of Horrors movie. Wednesday, August 12 Game release: Pro Jank Footy (PC, console) is an arcade-style Australian Rules Football game with increasingly ridiculous rules, the more you play (I enjoyed the Steam demo) Thursday, August 13 Game release: Super Mario Sunshine (Switch 2, originally released in 2002 on the GameCube) is released for Switch 2’s Nintendo Switch Online service. This game is the black sheep of 3D Mario games. It’s the successor to the breakthrough Super Mario 64 and the rare Mario game built around a single (vacation resort) theme. Mario’s got a water-spraying backpack, a Yoshi pal and a lot of blue coins to collect.
Why The New GM Needs To “Clean House”
The A’s have won an amazing two in a whole row so spirits are high and hopes higher with the team looking like an actual team for 18 consecutive innings. Realistically, though, David Forst was fired — I mean, mutually parted ways with the team — because of the 45-71 that preceded a pleasant weekend […]
MrBeast Sales Slow, Angel Stock Falls, MUBI and Neon Look for Hits, and Will an NBA Franchise Set a Sales Record?
(Welcome to the Entertainment Strategy Guy, a newsletter on the entertainment industry and business strategy. I write a weekly Streaming Ratings Report and a bi-weekly strategy column, along with occasional deep dives into other topics, like today’s article. Please subscribe.) You probably remember egg prices spiking a few years ago. This led to a lot of debate between the pro-market/pro-competition/antitrust/Neo-Brandesian crowd and the center/center-right/center-left/abundance/libertarian crowd over the cause, whether it was the avian flu outbreak or whether industry consolidation led to price fixing, using avian flu as a convenient cover. Basel Musharbash wrote a whole investigation at BIG looking at it. Well, two years later, we have our answer: it was price fixing. The Justice Department found proof, via emails, of price fixing. Indeed, just the threat of an investigation brought prices down two years ago: I bring this up because at least half a dozen of my favorite political writers and pundits, who were skeptical about price fixing at the time, haven’t written any mea culpas on this issue. It’s really dispiriting and makes it much, much harder to trust their work on other issues. If you take a hard stand on an issue, then you get it wrong, you need to explain how and why you got it wrong. Or update your priors. This is how epistemological bubbles are formed! All of which is to say, it’s time for another installment of “What I Got Right, What I Got Wrong”. Last issue, I mostly focused on the “wrong” side of the equation, so today’s is a bit more balanced, but with one big mea culpa (though I still stand by my original concerns). Let’s dive right in! Subscribe CORRECTION: UFC Didn’t Release Subscriber Data (But Seems to Have Bragged About It Internally) In my analysis of the viewership of UFC Freedom 250, I wrote... “Paramount has also released datecdotes bragging about their subscriber numbers. Earlier this year, they claimed that the first UFC fight on Paramount+ brought in 1 million subscribers.” Well, that datecdote did not come from a PR rep, but from great reporting from James Faris at Business Insider. The actual quote was this: “Paramount’s flagship streaming service generated about a million new subscribers on the day of its first-ever UFC event, Paramount product chief Dane Glasgow told employees in a town hall on Tuesday morning, three staffers who attended the meeting told Business Insider.“ This wasn’t the biggest goof in the world; even Faris emphasized to me that this is more a “clarification” than a correction. Still, it sounds like, internally, the folks at Paramount were very happy about this result—and I’m guessing they were happy with this news getting out—even though the gains didn’t last through the quarter, dropping to 700K adds. RIGHT: MrBeast’s Struggles Continue... I’m very skeptical about MrBeast’s burgeoning media “empire” and, in particular, its $5 billion valuation, as I wrote earlier this year and last year. Sure enough, according to Business Insider, regarding its “booming” consumer products division_:_ “US sales volume grew 13% year-over-year in 2025, following a 33% leap the previous year, according to a presentation deck dated May 2026....A February 2025 investor deck viewed by Business Insider showed Feastables’ net revenue more than doubled in 2024 from 2023, to $215 million, and was forecast to grow 74% in 2025, to $375 million.” [Emphasis mine.] If you told investors that you projected 74% growth but delivered 13%,1 that’s not ideal. But it’s not just MrBeast. Logan Paul and KSI’s Prime had sales drop in half for their energy drinks. It’s one thing to build a successful entertainment company and an entirely different thing to succeed in the heavily-consolidated-but-also-very-competitive consumer packaged goods space! CPGs are dominated by a few firms with very wide moats compared to YouTube, which has few barriers to entry. These businesses require different skill sets and have completely different business environments. WRONG: Does the NBA Have an $8 Billion Bidder? Almost as soon as I published my article about the NBA’s finances, casting skepticism on NBA expansion, I saw this Front Office Sports headline: One group “claims to have already raised $8 billion” for the Vegas expansion team. I mean, wow. That’s just $2 billion less than what the Los Angeles Lakers were valued at when they were sold just last year. And they’re arguably the most popular team in the NBA. (Side note: the new owner is now under an investigation for fraud in how he went about financing the Lakers and the Dodgers purchases.) So much for the “dried up” language I used in that article. (This is why I usually stick to my “Entertainment Nuance Guy” tone in articles...) I went off old information—from April, when I read/heard about the NBA downplaying expansion efforts—instead of doing a quick double-check for new news. That said...if you read the article, the market for Seattle is “slow”, with just one reported bidder. So I wasn’t entirely off. This goof has annoyed me since I first published it, mainly because it undercut that article’s real point, which I stand by: NBA franchises are really overvalued right now. Now, I get why NBA teams are overvalued. When it comes to owning sports teams, it’s basically never wrong to assume that some rich person somewhere will care more about owning a team (or just being part of a group since they’re so expensive) than the actual financials. There are only so many teams to own, and opportunities to buy in preferred markets don’t come along very often. This explains why the teams sell for such high multiples (usually above a 10 to 12.5 revenue multiple, which is very high). You only need one person to overpay! Beyond the ultra-wealthy luxury good explanation, I worry NBA teams are becoming speculative assets. More and more private equity investors are buying into NBA teams. But the value, in owning a team, comes from selling it later, not any meaningful relationship to revenue or profit growth. In other words, the newer NBA owners are increasingly expecting someone later to buy their inflated asset. That’s not sound economics; that’s the “greater fool” theory at work.2 At some point, actually making money has to matter. Especially since revenue growth is now below the growth of the stock market. (And this matters because the NBA doesn’t have easy levers to pull to drastically lower their costs—half of their revenue has to go to players and then you actually have to run a team, including coaching, training, travel, media expenses, and more—or raise revenues aside from one-off expansions in America and overseas.) I just don’t see how investors make their money back buying NBA teams, except for selling at a higher price later on down the line. But if revenue/profit growth continues to slow, at some point, someone will be left holding the bag. RIGHT: Baseball and Basketball are about equally popular. Related to the above, I wanted to cite two quick pieces of evidence for one of my other theories: that the NBA and MLB are about as popular as each other, but the NBA gets much, much better media coverage. One YouGov survey has that fans prefer basketball to baseball by 52% to 48%, which I’m guessing is within the margin of error for that poll. That’s virtually even, meaning they’re about the same popularity. Over on NBC, a recent Red Sox-Yankees game averaged 4 million viewers, higher than Sunday Night Basketball’s average of 3.4 million on the same network. A Yankees-Dodgers game averaged 3.9 million two weeks ago. Not every game averages this much, but it shows you that baseball isn’t far off from basketball, depending on the matchup. Altogether, the NBA is just slightly more popular than baseball, but NBC is paying MLB a fraction of what they pay the NBA, a point I’ve made before. RIGHT: Angel, MUBI and Neon Updates... I’ve long been skeptical about many of Hollywood’s buzziest startups/smaller indie studios. It’s not that they don’t make great movies—films like Anora and Everything Everywhere All at Once are amazing—or that they’re not (rightfully) pushing the majors to make better films, but...they get a ton of hype, and that hype often doesn’t live up to the reality or difficulty in scaling up. Starting with MUBI, well, The Wall Street Journal wrote a feature on MUBI’s struggles last April, best summarized by the subheader “After Sequoia valued Mubi at $1 billion, a left-wing revolt sent the indie film company into a tailspin”. MUBI lost $7.3 million on $200 million in revenue in Q4 2025, but reportedly hit a record 1.7 million subscribers at the end of Q1. As for Neon, Department M purchased a “significant stake” in the company earlier this year. How much is that “stake” worth? According to Deadline, “No financial figures for the Neon-Department M deal were disclosed.” So...that’s not great! If it was a big valuation, we’d hear about. Also, I found this curious: “Both Neon and Department M already have separate partnerships with Qatar. The Qatar Film Committee has a slate deal in place with the former, and a biopic production pact with the latter.” Color me skeptical about much Middle Eastern investment dollars. See: LIV Golf. Finally, as for Angel (formerly Angel Studios), their stock very, very slightly popped last month after Young Washington ($20 million budget) which made $45 million in the US, but their stock is still way down from its opening. Smaller Updates RIGHT: The WGA should focus on antitrust concerns! I’ve been on this for years. Post-WGA/AMTPT deal in 2023, I wrote an article for the Ankler calling on the WGA to focus and organize against industry consolidation. Sure enough, the WGA filed a lawsuit against the Paramount-WBD merger, and people are organizing around this issue now. I wish this energy had coalesced earlier (specifically to lobby Washington much earlier), but better late than never! WRONG: Actually, the chip shortage might be due to market manipulation. In my last “Long Reads for the Long Summer” article, I shared an article about how LLMs are causing memory chip prices to spike, which will make all electronics more expensive. Well, turns out, three RAM manufacturers control 90% of the market, and now a private lawsuit accuses them of price-fixing. So yeah. WRONG/UPDATE: The Odyssey will hold! Two weeks ago, I wrote, “As of this moment, we haven’t had a super-blockbuster, though The Odyssey, Spider-Man: Brand New Day and Avengers: Doomsday could all cross the $500 million mark. (At this point, The Odyssey would need a very strong hold to get there.)” Well, it’s safe to say it’s going to have that hold! It only dropped 30% in weekend two and IMAX screenings are sold out all month. Spider-Man: Brand New Day is also off to a great start. RIGHT: People are rushing to get shows out yearly. I’ve long been bullish on yearly, weekly-released shows, and Leslie Goldberg at The Ankler wrote about how many people in town are now listening. WRONG: Mark Carney reverses Canada’s stance on homegrown production. After writing about Canada installing domestic production quotas, Canada has backed off. WRONG: I don’t trust Spider-Man: Brand New Day’s online “views”. When I originally wrote about the latest Spider-Man film’s record-breaking trailer, I thought this was just YouTube views, but after watching this Corridor Crew video and doing more research, well, it’s all social views of the trailer globally. Really? That stat includes TikTok, Reels and YouTube Shorts views. Basically, I don’t trust it anymore. (This film will probably set record, but I trust the pre-sales data more.) RIGHT: Celebrity Production companies are still struggling. I’ve written about this for years, but the company that I didn’t track was Kevin Hart’s HartBeat, which was valued at $650 million but is struggling now and might just end soon, especially after Kevin Hart pulled his endorsement deals. And Bad Robot is moving to NYC. CORRECTION: SpongeBob is a “second run” title. In my 2025 recap article, I had _SpongeBob SquarePants_labelled as a “library” title, when it is still a “second run” show, with new episodes still coming out on Nickelodeon. CORRECTION: In my last “What I Got Right, What I Got Wrong” update, I offered a correction from Doug Creutz and misspelled TD Cowen. Thanks, Grammarly! 1 Though he could have increased prices to make up for the gap, he couldn’t have increased them that much. 2 There’s a theory, which I think that Daryl Morey created and Bill Simmons popularized, that, to be successful building your team, you only need a handful of bad GMs in the league to take advantage of. To be clear, Daryl Morey’s theory was also for signing bad contracts, that you could always get out of bad contracts. Basically, there’s always someone who will make a bad trade. It’s not the same exact thing, but similar enough to the Greater Fool Theory that I really like it.
The new "science golden age" looks suspiciously like a grift
This edition of PN is made possible by paid subscribers. Become one ⬇️ 🚀 Subscribe to PN 🚀 The Trump regime is trying to usher in a “Golden Age in Science” where scientific research is run like a Trump family business, artificial intelligence is all that matters, profit is everything, and expertise is for chumps. Or at least that’s the vision emerging from a new 123-page “Report to the President” from Michael Kratsios, the Director of the White House Office of Science and Technology Policy. In a normal administration, you could probably skip over learning about a science policy document — but this is no normal administration, and this is no normal science policy document. Instead, it’s Trump’s attempt to end the actual golden age of science that was kicked off in 1945 with the publication of '“The Endless Frontier” by Vannevar Bush. [ ](https://www.publicnotice.co/p/harmeet-dhillon-portland) [ Harmeet Dhillon demonstrates danger of posting through it ](https://www.publicnotice.co/p/harmeet-dhillon-portland) Liz Dye · Jul 29 [ Read full story ](https://www.publicnotice.co/p/harmeet-dhillon-portland) Bush, at President Franklin Delano Roosevelt’s request, laid out a vision of federal support for science that centered on funding universities to do basic research, saying that as long as those institutions were “vigorous and healthy and their scientists are free to pursue the truth wherever it may lead, there will be a flow of new scientific knowledge to those who can apply it to practical problems in Government, in industry, or elsewhere.” Kratsios’s report is supposed to be the successor to Bush’s, and even apes the format, but this isn’t really a document about science policy. It’s one about ending science research as we know it in favor of shoveling cash at big tech companies. While it might be temping to wave this away as an aspirational policy document, Trump has already begun to shift billions in research funds to AI projects and has taken a hatchet to science funding across the board. He’s teed up the shift Kratsios proposes here, and since neither Congress nor the Supreme Court seem inclined to stop him from doing whatever he wants with taxpayer money, it isn’t doomering or hyperbole to say we are staring down the barrel of a world where the only “science” the government intends to support is for-profit tech and defense advancements. Science for dummies Part of how you can tell this isn’t a document about science is that you are immediately faced with an absolute wall of business-speak of the worst sort. Did you know we must “tightly couple our science and technology enterprises to ensure that groundbreaking ideas invented in the United States are rapidly prototyped, tested, manufactured, and scaled domestically”? You do now! That tone isn’t surprising, because Kratsios has no background in science or research. He has a bachelor’s in political science and spent most of his career working for Peter Thiel at Thiel Capital. After a stint in the first Trump administration as Chief Technology Officer, where he also did not do any science, Kratsios was tasked in 2020 with overseeing the Pentagon’s research budget for a brief time, a position that, as the Wall Street Journal put it, “carries a great deal of power in terms of dictating investment allocations.” He spent the Biden years at Scale AI as “head of strategy,” which you will also note is neither a science nor a research job. But Scale AI has contracts with the Department of Defense and, as the Washington Post wrote in 2023, “has been aggressively pitching itself as the company that will help the US military in its existential battle with China.” And now you have the necessary background for our new golden age, which is going to be a golden age of taking money away from scientists and universities and giving it to companies like Scale AI. A note from Aaron: Working with brilliant contributors like Lisa takes resources. If you aren’t already a paid subscriber, please become one to support our work. 👇 Subscribe In a genuinely galling move, Katsios spends a lot of time slamming universities because of “administrative burdens on researchers” and the “well-documented inefficiencies” in academia, the message being that those damn universities waste the time of amazing researchers with paperwork. Except it’s the administration that is attempting to impose inefficient, unnecessary burdens on those researchers with a proposed Office of Management and Budget rule that would require senior political appointees to approve every science grant and ensure it aligns with Trump’s personal priorities. Researchers would also have to seek prior government approval to attend conferences or publicize their research. And political appointees could terminate any grant at any time if they feel like it. [ ](https://www.publicnotice.co/p/omb-rule-science-funding) [ The murder of expertise ](https://www.publicnotice.co/p/omb-rule-science-funding) Lisa Needham · Jun 11 [ Read full story ](https://www.publicnotice.co/p/omb-rule-science-funding) But when it comes to AI, we’re going to “restore permissionless innovation.” The report proposes to give lucky ducky innovators a pile of cash up front for grants lasting five years or longer, saying “awards should be fully-funded in year one, with all resources earmarked upfront, to minimize administrative burdens and reduce pressure for researchers to generate intermediate results to secure continued funding.” Yeah, wouldn’t want to have to make the Very Special Tech Bros show results or get money parceled out year by year like the plebes at universities. The report also proposes that we should have “fast grants” with “simplified applications requiring just a few pages of writing” because that is definitely how science works, just writing a bit off the dome and getting some cash. [ ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) [ Tech elites are turning AI into ChatGPTrump ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) Paul Waldman · July 29, 2025 [ Read full story ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) Oh, and we should have prizes and challenges, where multiple teams compete. The proposed prizes include incentives like “advance procurement commitments,” which means the federal government agrees to buy whatever is being developed. There’s also “regulatory fast-tracking,” making sure all those great AI thingies don’t have to wait too long to be unleashed on a market. These aren’t incentives to do science. These are incentives to develop things with tax dollars that you can then sell to the government for more tax dollars. In the suggestion that might be the most unhinged, the most very opposite of how both government and research work, our new age will include “golden tickets.” That’s where an individual reviewer in an agency — yes, just one person — can “recommend unconventional proposals that may not pass consensus-driven review panels” because somehow this will “surface valuable ideas too divisive for committees and attract higher quality reviewers by empowering them to exercise independent scientific judgment.” Yes, that’s saying that a random person in an agency should be able to shovel money at some idea even if it can’t pass a review panel, and that the opportunity to do so will attract better employees because apparently all the best minds in science are chomping at the bit to be allowed to unilaterally fund AI research based on their personal vibes. But that isn’t at all how actual science works, and actual scientists aren’t unhappy about review panels. They work collaboratively, not siloed in some secret race to create the next AI chatbot. A 2020 study by the National Bureau of Economic Research examined whether peer review panels succeed in helping agencies predict which research ideas will best advance science. Peer review was better at finding “diamond in the rough” applicants than a single government program official. How about that. Trump always wants a taste It’s painfully clear that what Katsios is trying to do here is turn the whole of government science research and funding into the sort of “move fast and break things” paradigm that is the hallmark of big tech. That method works to line the pockets of tech executives, but it isn’t science. There’s a reason the government funds different kinds of research than private tech companies do. What Katsios either fails to understand or deliberately ignores is that the federal government is the main funder of basic research precisely because it can take a long time for it to bear fruit and is not intended to be profitable as such. “Basic” here does not mean rudimentary or simple, but rather research that is designed to advance scientific knowledge instead of achieving a specific outcome or product. Big tech companies don’t widely fund that sort of research, because it doesn’t make them money. Industry dollars account for only about 20 percent of basic research funding, while the government contributes around 60 percent. Big tech companies and startups do, however, rely on and benefit from that basic research. A 2019 study found that 35 percent of all patents obtained by venture-backed startups from 1976 to 2016 cited federally supported research. Basic research funded by the NIH contributed to every single drug the FDA approved from 2010 to 2016. [ ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) [ The Saudi nuclear farce and governance by whim and meme ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) Noah Berlatsky · Jul 27 [ Read full story ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) Unlike inventing the next ChatGPT, actual science is slow and iterative. Government funding of research that, on its face, would not appear to lead to any big new invention is actually what underpins those big new inventions. If the government hadn’t funded research into desert lizard venom, we wouldn’t know about semaglutide, and we wouldn’t have Ozempic. If research scientists hadn’t studied how bees optimize nectar foraging within a colony, we wouldn’t have the algorithm that assigns internet traffic across computer servers. The report assiduously ignores that a symbiotic, profitable relationship between the federal government, universities, and private companies already exists. Each federal research dollar generates about $1.50 to $3.00 in long-term economic benefits. The $36 billion the government awarded in NIH research funding in fiscal year 2025 generated $94 billion in new economic activity. Trump’s proposed new golden age is intended to strip those billions from universities, resulting in the dismantling of departments and the shuttering of labs. But Katsios has a plan for that: Universities should just become trade schools to churn out no-show STEM degrees! “Require universities and community colleges to embed practical technical training and externships into STEM curricula. Let hands-on experience and industry credentials count toward degrees.” It’s quite the feat to, on the one hand, strip schools of funding for scientific research while simultaneously demanding to control what is taught and, oh, also, colleges need to give degrees to employees at big tech companies just for being employees at big tech companies. The new golden age would also exacerbate the brain drain Trump’s policies have already caused. Nature found that in the first quarter of 2025, US scientists submitted 32 percent more job applications abroad than in 2024. A March 2025 poll by Nature of roughly 1,600 scientists found that over 1,200 said they were considering leaving the country. Europe is investing $565 million to make it a “magnet for researchers” and provide funding for scientists who relocate. The new golden age is also about embedding Trump’s xenophobia into the fabric of American science. The report complains of an “over-reliance on foreign students” that “creates a security challenge our institutions are ill-equipped to address” and that a “reliance on foreign talent sidelines American students.” This is, to put it mildly, nonsense. International students pay far higher tuition and often receive no financial aid. Their tuition dollars are what make it possible for American students to get financial aid. In the 2023-2024 school year alone, international students contributed $43.8 billion to the US economy and supported over 378,000 jobs. Those 1.1 million international students accounted for only six percent of the total number of students in higher education that year, but were such an economic engine that for every three international students, one job was created or supported. It’s impossible not to wonder whether part of Trump’s loathing for universities and their leading role in scientific research is that there is no way for him to corrupt the process and make money off it in the same way he can by giving millions and billions to Silicon Valley types who, in turn, give him millions in cash. There’s no way for his children to invest in universities that the government then gives no-bid contracts to, fattening the family’s bottom line, which is pretty much the Trump sons’ current venture capital practice. Trump and Katsios’s view of science is narrow, cramped, and wrong. We’re not in a crisis, we’re not a failed state. We’ve been a science superpower for decades, and the only thing that threatens that is Donald Trump. Tech bros are already living high off the hog in this administration. They don’t need any more of our tax dollars. Hopefully this new golden age never comes to pass. Thanks for reading Public Notice. This post is public so feel free to share it. Share We’ll be back with more tomorrow. If you appreciate today’s PN, please do your part to keep us free by signing up for a paid subscription. 🚀 Subscribe to PN 🚀 Thanks for reading, and for your support.
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