Podcasts about american ai

Trump says he is weighing whether to "annihilate" Iran next week. Is this another empty threat? We have reached a point where it is increasingly difficult to know how much weight to put behind his threats. The bond markets are beginning to speak, inflation is rising, and U.S. military capabilities are under strain. Trump pays attention to all three. The constraints on both sides are far tighter than they were nine months ago. So why continue with maximalist rhetoric that risks eroding American credibility and deterrence?This week also saw Mark Carney and Ursula von der Leyen signal a much closer relationship between Canada and Europe, including the possibility of Canada becoming the EU's first associate member. What does that actually mean? And why pursue this partnership when the world's growth and dynamism are increasingly shifting toward Asia and the Indo-Pacific?In the second half of the show, Rudyard and Janice turn to AI and a growing chorus of warnings from the industry's own leaders, who are calling for stronger safeguards to limit the potential damage if AI systems break out and cause serious disruption to the systems that underpin our everyday life. How much weight should we put behind the argument that regulation and inspection could handicap American AI development and allow China to pull ahead?Become a Munk Donor ($50 annually) to get 72-hour advanced access to the full length editions of Friday Focus and Munk Dialogues. Go to www.munkdebates.com to sign up. Hosted on Acast. See acast.com/privacy for more information.

CUJO is a podcast about culture in the age of platforms. Episodes drop every other week, but if you want the full experience, we recommend signing up for a paid subscription. Paid subscribers also get access to our CUJOPLEX Discord and The Weather Report, a monthly episode series where we take stock of where the cultural winds are blowing and tell you what's rained into our brains.When it comes to AI, Neo Ludditism has been the default response of the American Left for some time now. But if we accept that boycotting can only go so far, and that AI is probably here to stay in some form, what might a progressive platform regulating today's frontier technologies actually look like? During a month marked by a fever pitch hysteria around AI, with AI employees resigning and warning of extinction-level risks, CEOs calling for a slowdown, and politicians proposing jail time for developing “superintelligence,” we jumped on the horn with writer, researcher, and technologist Joshua Dávila to make sense of this inflection point in the AI culture war—and what it might look like for the Left to play an active role in shaping the technology's future.We discuss how the niche ideology of Rationalism has shaped Silicon Valley's language of doomsday inevitability, and whether we should actually be alarmed; what we can learn about the American AI industry from contrasting it with the landscape in China and the EU, and what the “Medicare for All” of AI policy might look like, or whether that's just… well, Medicare for All. Plus, Josh tells us about his new project All Models Are Wrong, a show and blog about AI, robotics, biotech, crypto, and “the political choices hidden inside every technological future.”Follow Josh's work at All Models are WrongPieces discussed in the episode:“The Long Doomsday of AI” by Joshua Rothman (The New Yorker)“How Scared Should We Be of AI Right Now?” by Cal Newport (The New York Times) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit theculturejournalist.substack.com/subscribe

Josh Reid flies solo again this week and does not waste any time, diving straight into what he calls a coordinated AI doom narrative playing out across media, tech, and celebrity circles all at once. He walks through a supposed AI hack that may not be what it seemed, explains the concept of regulatory capture and why it matters for the future of open source AI, and connects a handful of recent headlines to a British NGO angle that most people have not been tracking. Expect plenty of pattern recognition, some pointed commentary on who benefits from slowing down American AI development, and a few solo host quirks since the usual co host setup is not quite in place. As always there is community banter, sponsor shoutouts, and Josh doing his best to hold down the fort on his own.  

In this episode of the 47 Morning Update w Ben Ferguson, Ben argues that America is already engaged in an AI Cold War with Communist China and warns that slowing AI development could hand a strategic advantage to Beijing. He examines recent concerns over efforts to restrict or delay AI infrastructure projects and explains why those decisions could have far-reaching consequences for economic growth, national security, technological innovation, and global influence. Ferguson also discusses reports from OpenAI and X regarding alleged China-linked influence operations aimed at shaping public opinion around American AI infrastructure. According to the reports, foreign actors allegedly used AI-generated content and coordinated online activity to amplify concerns about data centers, energy usage, and electricity costs. While acknowledging that communities have legitimate questions about energy demand, infrastructure investment, and transparency, he argues that foreign interference in those conversations should raise serious concerns. The episode also explores the economic ripple effects of AI policy debates, including market reactions across semiconductor, technology, energy, and infrastructure sectors. Ferguson makes the case that AI leadership requires far more than advanced software, calling for expanded investment in semiconductors, power generation, transmission systems, skilled labor, and domestic manufacturing capacity. Artificial intelligence has become the defining technological competition of the 21st century, and the battle is no longer theoretical. As the United States and China race for dominance in AI, the debate is increasingly shifting from software to the infrastructure that powers it: microchips, data centers, electricity, and computing power. Topics Covered: The growing AI competition between the United States and China Why data centers, microchips, and electricity are central to AI leadership Alleged China-linked influence campaigns targeting AI infrastructure debates Market reactions across semiconductor and AI-related industries The connection between energy production and AI development National security implications of winning or losing the AI race Please Hit Subscribe to this podcast Right Now. Also Please Subscribe to the The Ben Ferguson Show Podcast and Verdict with Ted Cruz Wherever You get You're Podcasts. And don't forget to follow the show on Social Media so you never miss a moment! Thanks for Listening X: https://x.com/benfergusonshowYouTube: https://www.youtube.com/@VerdictwithTedCruzSee omnystudio.com/listener for privacy information.

Plus: Boston Scientific restores key operations after cyberattack. And Mistral partners with Cloudera to grow its enterprise customer base. Julie Chang hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Plus: U.S. security agencies accuse Chinese firms of exploiting American AI models. And Google to spend more than $15 billion on AI infrastructure in Finland. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

On Labor Day weekend episode of Razor Wire News, McShane and Fitz open with beer banter and off-color merch jokes before diving into the week's topics: Canadian PM Mark Carney complains that Americans should stop “doing memes,” prompting an avalanche of AI edits and Carney quickly signaling he's ready to talk trade; he was “memed into submission.” They discuss a juvenile-but-funny White House drop of five retro arcade-style games (including a Tetris-like one) and note Tetris is unhappy about copyright, while arguing border enforcement is still a serious issue. They slam Bernie Sanders' bill to ban AI as anti-American in an arms-race with China, joking they'd rather face an “American AI terminator” than a Chinese one. Later, they roast the 2026 Socialism Conference in Chicago (2,600 sign-ups), highlight a speaker arguing the left should stop trying to be “fitter than the fascists,” and trace funding to major foundations including Tides, Rockefeller, Ford, and others. They revisit Nepal's catastrophic flood via meteorologist Chris Martz, rejecting climate-change blame and calling it bedrock collapse and reporting effects, then pivot to UN climate messaging, geomagnetic-field theories, El Niño, a hurricane-less Atlantic, and multiple Indonesian volcanic eruptions around Krakatau. Jefé drops in with a “Farm Report” about the pistol shrimp's cavitation “shot” (218 dB, extreme heat, flash of light). The episode also detours into the WNBA commissioner “retiring,” Hunter Biden's “48.6% gay” remark, Ryan Reynolds' comments about the '80s while promoting “Mayday,” and a viral video classifying movies by political ideology, before closing with standout beers and a call to think critically.Become a supporter of this podcast: https://www.spreaker.com/podcast/razor-wire-news--5683729/support.www.razorwirenews.com

Scott Galloway speaks with journalist and author Josh Tyrangiel about how AI is already saving lives, modernizing government, and transforming warfare – and why its most important applications look nothing like the revolution Silicon Valley promised. They also discuss China's strategy to undercut American AI companies, the coming disruption to white-collar work, and whether relying on AI could hollow out the next generation's ability to think for themselves. His latest book, AI for Good: How Real People Are Using Artificial Intelligence to Fix Things That Matter, is out now.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

In June, the most capable American AI models stopped shipping as public launches and started shipping through a government gate. Six weeks later the gate is open again — and the real fight has moved to the layer no gate can touch. A Chinese open-weight model rattled trillions out of chip stocks, Washington pivoted from gating American closed models to threatening bans on Chinese open ones, the industry mounted its largest-ever policy counter-mobilization, and an American frontier model literally broke out of its lab and hacked another company. Knee-jerk reactions, or the beginning of real AI governance? Navigation: Intro The Gate Opens The Kimi Shock The Escape The Counterstrike and the Petition Interlude — The Low-Background Books The Investor Reckoning Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show: Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Bertrand Introduction Welcome to Tech Deciphered Episode 80. This one, once again, will be all about AI, government, frontier models, and open weight counterstrike. A lot has been happening in the regulation space, in cybersecurity, in the launch of new models in the past, maybe just 6–8 weeks. It’s actually pretty insane how much happened. We believe it was time to do an episode to talk about where we are and maybe where all of this is going. Maybe let’s start with a summary of where we stand, all that June and July saga, so you, our listeners, can get up to speed if you are not already there. You want to start with some points? Nuno The Gate Opens Yeah. Again, to your point, the gate swings. The gate had closed. We had to prepare an episode for the gate closing, and then the gate reopened. Now we have a different episode. This will probably change again as we’re seeing there’s news every day. Let’s start maybe with the first 19 days of the gate closing. There was an executive order on June 2nd from President Trump that asked frontier labs to share models with the government, 30 days pre-release. It inferred the protected frontier model designation into that. Basically, it was effectively a de facto licensing agreement defined by an executive order of the President as of June 2nd. On June 9th, Anthropic launched Fable 5 and the famous Mythos 5 or Mythos. I’m not sure how you actually say it in English. Then on June 12th, there was an export control directive banning access by any foreign national. Since there’s no way to verify nationality in real-time, Anthropic had to switch the models off for everyone worldwide. Bertrand On this point, you could argue that there are possibilities to check IDs. Many services let you check IDs online. You can pre-check a flight by showing your ID. There are ways, it’s just that if you don’t want to follow what’s already available, because guess what? Maybe it slowed down your revenue growth, maybe it looks bad on you or whatever. My point is that there was actually an option. I think it’s already a decision from Anthropic to say it’s either on or off, but nothing in between. Nuno I think the point is they had no way implemented of doing it. If they implemented it, to your point, it would have hampered use in general. A lot of people wouldn’t have gone through that trouble of doing it. Anyway, long story short, in June 26th, the White House apparently asked OpenAI to limit GPT-5.6, so Sol, Terra, Luna, to only 20 vetted partners. Now, apparently, the trigger for a lot of these things that have been going on was that there was a jailbreak that was found by Amazon researchers. All of that led to this jumping around of, let’s close the gates. You have foreign nationals, and therefore, Anthropic got it out and said, “Hey, then we’re going to switch the models off until we can sort this out.” OpenAI was asked also to only allow it for certain vetted partners, et cetera. The government came in, closed the gates effectively, and said, “From now on, we need to be involved in this thing.” De facto regulation, there’s no doubt that this has imposed de facto regulation, certainly on the top players in the market. But then came the reversal. Bertrand, do you want to talk about the reversal, the gate swinging the other side? Bertrand Maybe I just wanted to say that as a user of Anthropic products, ChatGPT products, for the brief moments, a few days where Fable 5 was made available to the public before it was closed the first time, I immediately started using it. I must say it was a real issue to use it because the guardrails were pretty crazy. It would keep saying that my code was not okay, there was cybersecurity risk and stuff when I was doing absolutely reasonable development with absolutely no connection whatsoever to any cybersecurity risk, attack, detection, anything. Still, it would keep blocking me, degrading me to Opus 4.8 at the time. I just want to say this was already very hardcore what they were implementing, and not just hardcore, but in some ways, plain stupid for something that’s supposed to be super smart. It was totally unable to classify properly some of my work. I must say I was already disappointed. On top of it, the costs were insane. Half a day, I would reach my limits when I had the best plan you can get from Anthropic. My point is that there were some real serious issues when they launched Fable 5, even at that point. Nuno I had a similar issue. I used Fable 5 as well before they had to take it offline or take it off. I think the issue was really not that the guardrails failed. As you said, maybe the guardrails were actually too aggressive, but it was this jailbreak that caused the recall, apparently caused this knee-jerk reaction. Bertrand But my point is that it seems that it was not working either way. It would either overclassify something that’s absolutely not doing anything wrong, and it might fail to classify something that is actively trying to do some cybersecurity work. It’s a real issue of quality for a company that’s supposed to be at the forefront of quality of AI and everything. I think for me, there are already signs that something is deeply wrong. Nuno Then it’s reversed, right? We went the other way around. The government came out on June 26th and approved redeploying Mythos 5 to US organizations defending critical infrastructure, and then the export controls were effectively lifted on June 30th. July 1st, Fable 5 came back online for all of us to use. Shocking enough, with strings attached, that were different. They had some time to revise their commercial deployment of it along the way because it came back with some, “Now you have usage credits, but you have some limits on plan use, et cetera.” I’m like, “You guys, this was blocked. But meanwhile, you did have some time to do some commercial stuff around it.” Bertrand It was crazy. I’ve never witnessed any such crappy launch of any service whatsoever in 30 years in tech, it was so bad. Every day, they would change the terms of service. They would tell you it’s part of the plan. It’s not part of the plan. It’s part of the plan for three more days, and then it’s excluded. You have a special discount now, but then it goes back to full price. It was a total nightmare. I’ve never felt myself being so much mistreated by a company. I guess you saw the same, but when I started using the newest version of Fable 5, it was even worse, actually, I think. I couldn’t do any work with this crap. I let it go and work on the work I wanted it to do. It was simply not working. On top of it, you never know how long you are supposed to lose your credit, how fast. It was burning credit like crazy. Me, personally, I can say, very quickly, I actually stopped using it. I was like, “No, I cannot deal with this shit. My main model is back to Opus 4.8. I’m going to use Fable 5 for code review, but not anymore to control anything because I cannot trust it would do the job without stopping or changing models and stuff. I just cannot trust it.” Back to Opus 4.8 as my main model, I can say that my life was much easier. I use Fable 5 as a review mechanism, as a support mechanism, but not as the main mechanism. Suddenly, the guardrails were not so horrible anymore because it was used in a much lighter way, I guess. As a pain as a user, I think it was really bad. I don’t know your experience, but me, for me, it was unacceptable. Nuno I wouldn’t say it was as bad as yours in terms of just end-user experience. I think the terms of service switching back and forth, which went one further step, because then when they then launched Opus 5, they started making comparisons between Opus 5 and Fable so that people would migrate more and more to Opus 5 themselves, which is interesting. It’s like they’re saying “This is much cheaper. This is whatever. You’re not going to run of credits. You should use Opus 5,” kind of thing effectively. To your point, I don’t think they managed well the launch. They didn’t really manage it well. We’re moving people around. A lot of people are using this for stuff that’s like daily tasks, hourly tasks, anything that relates to code and co-work. It’s like, we need to have visibility on what your terms of service are going to be. Should I be using this new model or not? What’s happening to the other model? I don’t see it as negatively as you, Bertrand, but I see your point. It was clearly mishandled in terms of how they deployed it, how they were redesigning effectively their pricing scheme and their terms of service almost on a daily basis, at a certain point in time. We’re like, “Dude, there’s millions of people using this. You guys are making a lot of money.” Just moving it as it is. At this point in time, at the scale that these guys are at, it’s calling in people to say, how about we think through a class action suit at some point around pricing? Because you guys are changing the rules of the game all the time, right? Bertrand I don’t know if I need the class action, but for me, that joke that, “Let’s not rush too fast. The model is dangerous.” But still, they rushed the launch because it’s very clear that if they had enough compute capacity and stuff, they would not have to limit so much. They would not have to put so much cost per token and all of this. You can see that actually when they launch Opus 5, literally like 2, 3 weeks after, by most benchmark at launch, they tell you basically that, “You know what? Actually, Opus 5 is better than Fable 5 on 80% of the metrics.” They’re like, “What? Seriously? You couldn’t wait 2 weeks? Why did you even launch Fable 5 in the first place?” That’s another part for me that is quite literally insane, to be frank. It’s like, “Why? Why do you make us go through so much pain if it’s only to tell us after 2 weeks to…” “This new model, by the way, has less issues, less stuff, because 2, 3 times less is part of your plan, and it’s actually better by most metrics.” It’s like, “What’s going on here? What’s going on? Are you guys mad?” I don’t know. It was crazy. Personally, I still use Opus, now 5, as my main system and platform, Fable 5 for review, code reviews and the like. I don’t want to run into its stupid guardrails. I can see Fable 5, from my perspective, seems quite a bit smarter. I don’t know why they do this stupid benchmark showing you it’s actually worse than Opus 5. I guess they should have better benchmark if they want to demonstrate why you are supposed to pay 2, 3x more for a model versus another if it’s actually worse by most benchmark. Again, I still think it’s a huge mess from a marketing perspective, customer perspective. Me as a user, I really feel that they don’t want my money, and they couldn’t care less about me. This is even before everything else we’re trying to talk about. Nuno Yes. Maybe just to close the cycle on the reversal on the door opening the other way, finally, Commerce lifted the GPT-5.6 restrictions on July 8th, and then on July 9th, general availability across ChatGPT, Codex, and the API as well. What has this proved? It proved that now we have gating mechanisms, and certainly for closed models in the US, for sure. We had frontier models that were switched off worldwide in hours, and it took a couple of days, in this case, 19 days to restore them. There were concessions. Now we know that there were concessions around effectively institutionalizing that gate. Early government access to future models is, I think, now a given, certainly in the US. New safeguard frameworks are probably now having to be put in place. There are some stage limits now on who gets access to what for new models and how it happens. This voluntary executive order, so to speak, not really sure, has become effectively regulation enforcement path. It’s de facto regulation that now has been put in place. It has affected not just to the points we were making before, the access to these models, but also who gets access to these models, and actually potentially even pricing access to the models. It has probably some commercial implications as well as we just discussed along the way. Very significant. This is very significant. This is regulation, de facto at the table, imposed on the two largest players in the market by far by one government, in this case, the US government. This is significant. Actually, you could even allege it was imposed by the President because this was coming as part of executive orders. Really incredible. Pretty significant, fast, aggressive. It has created a regime that you could say it’s a regulatory regime, it’s a de facto regulatory regime. It has some significant pricing and licensing and commercial implications. It goes even beyond your classic regulatory framework. Very, very, very significant. Bertrand I don’t know if it goes beyond a classic regulatory framework. Nuno I think it does, because it has implications on who do you give access to? When government is saying you can only give access to these players, right? Bertrand Defense industry. It’s all over the defense industry. You cannot sell an F-35 like this. Nuno No, but that has commercial implications, Bertrand. That’s like you’re saying these are your customers, you go and use them. Bertrand That’s the defense industry. You cannot sell to Iran your F-35. No, that’s exactly the same story for me. Nuno No, no, no. It’s beyond that. These guys are saying when they came back, and they said, “For Mythos, you can make them available to these entities,” they were saying the first entities that are going to have access to the model. It has commercial regulatory implications. You’re saying these players are the first players that are going to have access to it. It’s no longer just defense concerns and these governments don’t have access to this. No, no, no. You’re saying to a company that is a private company, your models are only going to be used by these guys because I’m telling you so. It’s the other way around. It’s not even that you can’t sell it to Iran or whatever. It’s like you can only sell it to these guys. Bertrand Again, in the defense industry, if you’re a private company, do you think you can buy F-35 like this? No. Nuno No, no, no. But this is a private company, Bertrand. This is not a defense agency and a plane that is on whatever, with IP from the US, right? Bertrand Boeing is a private company, and they cannot sell the military equipment they manufacture. Nuno No, no, no. But the development of their IP was subsidized by agencies that belong to the US, right? That’s a different matter. It’s a matter of IP, right? This is not, right? Anthropic, their models are not owned by the US government. There’s no IP granted to the US government, to my knowledge. This has significant commercial implications. Bertrand Maybe, yes. Maybe on this. But I think there are already regimes to limit who you can sell to, and that’s decided by the state or the DOD. Nuno It’s the export control logic. The export control logic? Bertrand You have export control, and export control is Commerce. My point is that they are using existing tools, part of the government, to limit what can be sold. Selling chips, NVIDIA was limited in terms of where it could sell its chips. It’s not different either, but still there were limitations. If you are an ASML, you cannot sell to a private company in China. Many private companies cannot buy ASML products. This is a foreign company. This is a foreign company under pressure from US government. Nuno I understand, and I’m not a lawyer, but it feels different to me when you say you cannot export, this is export controls, to these countries, to these entities, et cetera, because they’re foreign et cetera. Then to say, “No, no, no. On top of that, these guys get first access.” That’s, for me, a significant shift. Again, I’m not a lawyer, so I’m sure there’s very intelligent people right now looking at this stuff and saying, “You can’t do this stuff, or not, or they can.” I don’t know. But it feels to me, it goes beyond the remit of export controls. It’s like you’re defining initial clients for specific use. Bertrand My impression is more like, “We can do this situation where we’re going to forbid you to give access to anyone outside the US or even in the US or limit even more.” Basically, it was, I guess, some gesture to go beyond that. That’s how they probably defined these 20 authorized companies. I don’t know. Apparently, there was also restrictions because I remember seeing that Anthropic had their own list of companies they would authorize access to Mythos early on. That’s apparently another thing that pissed off state government because there were companies in there that were considered close to the Chinese government. They were extremely unhappy that Anthropic didn’t ask, actually, for any guidance from the state government, but used basically their own perspective on who they should allow or not. I guess that was also part of why they got these serious restrictions. Nuno Anyway, now we have a regulatory environment that’s very interesting and exciting. Talk about the US not regulating. Bertrand To be clear, I don’t know you, but I’m not saying that I agree with any of this, to be very clear. I’m trying to explain and share some perspective, but I’m not in agreement on a lot of this. Nuno Yes, we were just describing what happened to the best of our knowledge. We’re having a discussion on what we think actually is happening and how it’s happening. We’re not really right now saying we agree or disagree with this. I think later in the episode, we can share some perspectives on what we think is actually happening and how there’s dimensions to this which are very geopolitical and very complex, which quite literally probably only God knows what’s going to happen. That was the gate swinging. There was a gate closing, then there was a gate reopening, and all of a sudden we have a gatekeeping system that has been created along the way. The Kimi Shock Along the way, moving to our Act 2, the world has changed, and we now have so-called open-source plays out there that are creating massive, massive shifts in the market. The Chinese models, in particular, with Moonshot AI launching Kimi K3, which is the largest open-weight model ever released. We’ll come back to the discussion around open-weights. I’m not sure all our listeners understand what that means, because there’s a debate now, should models be open weight or not, and how does that work? There’s been a petition as well signed along the way. Right now, we have open weight models that are out there that are huge. What that actually means very pragmatically is we now have open source models, lack of a better word. I know open weight and open source are not the same thing. You guys will have to bear with us during this episode. We’ll explain at some point the differences. But we have models out there that are open source that are significant. That are catching up with the closed source models, with the models by OpenAI, Anthropic. That’s significant because most of those models are Chinese. This is where the geopolitics starts getting really frazzling and we start playing 3D chess. Because everyone’s like, “These models are 5, 6 months behind.” Now people are saying, “Maybe they’re actually just 3 months behind, 2, 3 months behind.” If we, for example, decided to stop or slow down our model releases in the US by the closed source guys who are leading, it might mean they’ll catch up. What are the implications of that? Again, for you and I that are not necessarily experts in model development, well, the implications as a use case is if you want to use the latest models, and the best models start becoming these open source models, you’re going to use those models. Then you start using Chinese models. If you’re an American company, maybe you’ll have restrictions on the use of those Chinese models. But if you’re a European company, you probably won’t. What happens after that? Is the world going to be in the hand of Chinese models? Will that constitute effective competition to the closed models in the US? Will we have open models in the US that will scale as well? What’s going to happen? Bertrand I think it’s a really big question. It goes to some of the core of the issue. It’s that ability of Chinese models to basically challenge frontier models, not just being 6, 12 months late, but being 6 weeks late. Basically, no gap. Some will say that, yes, but OpenAI and Anthropic have even better models that are not shared and stuff. Yes, sure. But maybe the Chinese have the same models that they are not sharing right now. We don’t know. What is clear is that one is that open weight, as you said, two, there is a question of how it is marketed in the sense of, can anyone use these weights? Is there a license to use them? Yes, what we can see is that, for instance, typically there is a license for some of the biggest Chinese open-weight models you have to abide with. You might have a need for a commercial license if you are acting as a company leveraging this model to provide AI-informed services. If you use it internally by yourself, you’re okay. If you use it internally for your own internal company needs, maybe you are okay if it’s not your main business to do AI work. Anything else, a much bigger corporate providing AI services and stuff, you will probably end up having to pay a fee to be able to provide services around this model. My point is that it’s not just 100% free. Some of the Chinese models are 100% free to use, MIT license, Apache 2.0 license. But the biggest ones with the biggest weight that are truly frontier typically have a different license if you want to scale these models, providing AI in front. That’s one thing to keep in mind. Nuno Maybe just to make a very quick point, because people are like, when you talk about open models, what does it mean right now? In the context of this episode, open models mostly will mean open-weight models. How do those differ from open source? Open weight means that you release the weights to the public, which means that anyone can download, fine-tune, and run the model on their own hardware. It doesn’t normally mean that you also have access to training data, training code, or a truly open license. That’s the distinction to open source. Open-weight doesn’t mean that. For example, we’ve talked about Meta’s Llama in the past, and we also discussed in the past that their license agreement does have restrictions, certain players can’t use it, et cetera. The open model definition and open weights are really open-weight models that we’re talking about here, and they are closer to freeware binaries than to Linux, for those who understand the difference between that. It’s binaries that you can use and then use your own weights on it versus actually I can change code on it. I’m not going to be able to change code on this. When we, for the purposes of this episode, talk about open, we mention open weight, just to clarify that point to everyone that’s listening right now. Bertrand Yes, that’s a great point. One of the only players, as far as I know, who is truly open source is actually NVIDIA with their Nemotron-3 models. They’re actually following a special license to achieve that. They provide you the data, they provide you all the processes and tools, so you can easily post-train. NVIDIA is a big, big exception. It’s a very interesting player, by the way. We might not talk much about it in this episode, but I think for intermediate-size models built in the US, where you have access to everything in the deployment, it’s a very interesting alternative and maybe one of the best choices if you are a US company or a big corporate, and you want something trusted. Another piece of the puzzle to clarify is that when you use open-weight, it means that you can run them by yourself, or you can use a US provider to run them. If we are talking about Chinese open-weight, you can use the APIs they provide, but then the service is running in China, they might have access to your data. But because it’s open weight, if you run it by yourself or if you use a third-party provider based in the US to run it, then there is no access to your data by China or Chinese players. I think that’s a pretty important gap to understand. It means that these models are actually very, very low risk from that perspective if you run them on your premises or in the US by a US player. I think that’s something to keep in mind. You can also fine-tune easily these models to make sure they will behave in a way that, for instance, is not going to represent the line of the Communist Party on some topics. There are ways to make these models more neutral in their output as well. There are a lot of ways to make good use of them. By default, they’re already very safe, but you can make them even more safe. I think that’s some things to keep in mind. But again, it depends ultimately on the license and what you’re authorized to do and some fees you might end up having to pay. Nuno Why did this matter so much? Immediately there was a reaction from the market because people are like, well, if there’s much better stuff out there that’s much more efficient than it’s open, then it might be that all the demand that we are taking into account, for example, for chipsets actually isn’t real. The Philadelphia Semiconductor Index fell into bear market territory. It went down by as much as 20% plus from the late June peak. The worst chip week since April 2025. Taiwan’s benchmark initially fell 6% plus, Japan’s 4%, TSMC dropped dramatically despite beating earnings and rising guidance. Basically, a huge amount of effect. Now, there’s a little bit the aftermath of this where apparently Moonshot ran out of GPU capacity. Maybe… Bertrand In just 48 hours. Nuno In 48 hours. Great for them, but at the same time, not great in the sense that maybe there was a misread by Wall Street of the Kimi effect, so to speak. Bertrand Completely. For me, that’s such a joke. It’s like, because you have an open source model, so what? I mean, you still need to run it. This is not a small one. 2.8 trillion parameters. Good luck running that in your garage, by the way. Nuno They misread supply, basically. Tough luck, right? All of that basically happens. Bertrand Maybe you want to talk about the Jevons paradox, because I think that’s a big part of the puzzle as well. Its one is they might not have the GPUs to run the inference on the model. They might have enough to build a model, but not enough these days to run inference, especially given how much with intelligent models, thinking models, you need way more inference than before. But on top of it, the cheaper you make it, the more you get to the Jevons paradox. Nuno Yes, Jevons paradox, for those who don’t know, is an economic term. It describes an economic phenomenon where technological improvements that increase the efficiency of a resource lead to an increase rather than a decrease in the total consumption of that resource. What that means is, for example, for chipsets, chipsets become so much better, and they are so much more efficient. You’re like, well, maybe normally in resource terms, that leads to decreased usage of that resource. But in this case, it actually leads to an increased use of that resource rather than a decrease. There’s more and more consumption of that resource. You need more and more chipsets because people actually need to do more and more stuff with it, although there are great efficiencies going into it. There’s the efficiency gain, there’s the cost reduction, and there’s the price-elasticity element to it. But basically, the adoption just continues going through the roof along the way. Bertrand In some ways, it’s like the price of energy. Coal went cheaper and cheaper, and people were asking the same question 150 years ago, now that it gets cheaper, there is not much money. No, no. Actually, what happens is that people find more and more use for coal. Homes are getting heated more. You have ships now using coal. You have manufacturing using coal. The cheaper it gets, the more use case you can develop, and therefore, you don’t need less of the stuff, you need more of the stuff. By going at scale to get more of the stuff, you also decrease price, making even more demand. It’s a very interesting phenomenon, but it’s not new. It is what happened for a while in the energy sector and some other sectors. Nuno We already started talking about the Chinese logic and what’s happening. Getting a little bit of a reality check on this. The Chinese models, and these are numbers from Open Router in July, Chinese models are at 46.4% of routed tokens and 35.7% for US origin. Again, more than a third of global AI usage now seems to be running on Chinese open models. This is significant, and it has a huge impact on the geopolitical scale of everything that’s happening. Also, the whole Chinese field is converging on open. Open seems to be a strategy, not just a nice thing that’s happening. It seems to be a Chinese strategy, so much so that you have players like Moonshot, DeepSeek, our old friends DeepSeek, Z.ai’s GLM 5.2, Minimax, and even Alibaba seems to be reversing and going open with Qwen. It feels to me this is becoming policy as well. Xi Jinping has personally endorsed the building of open-source AI, if it’s really open source, if it’s just open weight anyway, and this feels to be a jab at Washington, DC and the fact that the big closed models are coming from the US. This is now geopolitical 4D chess, right? We didn’t need this stuff. Bertrand To be clear, it’s the usual in tech. If you are not number one, you are number two, number three, your alternative is to go open source because that’s another angle that your competitor usually cannot follow without destroying its own business model. That has been the alternative for the past 20 years of most software projects. Here, what’s different is that it’s not the number one or number two player. It’s the US number one as a country, China number two as a country. That’s where it’s new. For me, what’s very interesting is the endorsement by Xi Jinping. I was waiting for something official, and it certainly didn’t disappoint. As you said, there was an immediate U-turn of Alibaba, who in the past… Nuno Surprisingly. Bertrand Yes, a little more like, “yes, we are going to close and stop open source. It was good while it lasted.” Just a few days ago, Qwen 3.8 Max was launched, and we are supposed to get the weight in a few days. We talk about the US administration policy and stuff. Yes, let’s not forget that in China there is similar stuff. Sometimes it’s totally invisible because you don’t see the directives, but they exist as much. Sometimes it’s more visible. Here it was quite visible. The difference in China is that if you don’t abide by the directive, on top of it, you might have to fear for your personal safety. It’s a different game, and that’s probably why the reaction is pretty quick, usually. That’s pretty interesting for me because it means that now you can bet for a while that China is going to play that game up to a point. I guess the point is if it’s truly frontier scale, you will have a special license that, yes, technically the weights are open, but you can not do everything you want with it. Two, you have a player like NVIDIA that I think will feel more pressure to provide even more high quality, larger models at scale going forward. Their largest Nemotron-3 Ultra model was, if I remember well, only around 500 billion parameters. I would not be surprised for NVIDIA to go into the two, three trillion range at some point. Because I think the US need a very clear US-born alternative open source. I think NVIDIA might be the best player for that. We will see if Meta goes back to open source. I think NVIDIA is one, very well positioned, but two, it’s also in their best interest. Because NVIDIA for now depends on just a few big hyperscalers as clients. If they can expand their clients to every S&P 500 companies, selling them directly hardware because now these companies can run a model made by NVIDIA, I think there is a very clear value proposition for NVIDIA to go in that space. Again, if you are number two, your differentiation, open source is often the answer. There is a true business as a business model for companies, because if it’s truly not just open weight, but open source, you can tweak it as much as you want, you can change it, you can change even the pre-training process. Because there is a lot of stuff you can do that really benefits you as a corporate, and you can reach a much better value by having more control on the model. Nuno We won’t spend a ton of time on it today, but like, again, if there’s a view that we are in a bubble, that the valuations cannot be sustained in chipsets, infrastructure platforms, applied AI, et cetera, today, this might be that beginning, where the valuations start being destroyed because you can’t keep a premium on just charging people for tokens and all that stuff if you have models that become more and more efficient and cheaper to use. Maybe just to close a little bit the geopolitical part of the discussion today, we won’t go into all the announcements from China because there were many, a lot of go back and forth with Alibaba by then. Xi Jinping made some announcements. You guys can check it online. Let’s move quickly to Washington’s reaction, which was from gating the US closed models to banning the Chinese open ones. There’s been as strong affirmations as one can get from the Office of Science and Technology Policy Director, Michael Kratzios, mentioning that they have information that Moonshot AI distilled Anthropic’s Fable. Basically, there’s been reverse engineering and stuff in the market. They’re basically copying. Bertrand I’m sorry to interrupt, but it feels like so much bullshit. It’s coming from Anthropic who has basically gotten access at scale to all the knowledge made by humanity, copyrighted or not. We’ll talk more about what they did with books. Then to claim after that that others cannot do to you what you did to everybody else. For me, it’s pretty big. It’s clearly unacceptable. The other piece is that everyone is doing distillation. It’s a very typical approach of every business model. You try other software when you are competing with somebody else. You try other datasets, you check what’s happening. It’s part of doing business for decades. Suddenly it’s not good for Anthropic. I personally have a lot of trouble to accept that. I think it’s totally unacceptable. The other piece of the puzzle will also go back. If these guys are so smart, if these guys have so much of the best model, why can’t they block by themselves distillation at scale? The only answer is that either they are morons, probably not, or they simply don’t want to because it’s going towards their business model. Suddenly, you book less revenues and stuff, or you put more friction, and therefore your customers don’t like it. Instead of doing it yourself, you ask the government to protect you, go out of business practice that is very typical. For me, it’s really, really, really not good. Sorry, we are going more in the opinion side, but I had to put that on the table. Nuno Yes, Fable went public finally again on July first. Question marks on whether distillation would only be possible from July first onwards or not. But a 15-day distillation to frontier, which is K3, launched on July 15th, would have been a Guinness World Record, as one of Moonshot employees actually mentioned. It’s very implausible and unlikely. Bertrand Or they shared the Mythos 5 with the wrong companies, who themselves shared with Chinese companies. We go back to maybe they didn’t have a good list. Again, it goes back to maybe they didn’t want to hurt their business model. Nuno Anyway, under the threat of sanctions, Moonshot, in any case, open-sourced the full K3 weights and technical reports. They open weighted it to become the largest open weight model in the world in terms of parameters. Beijing’s MOFCOM brands US threats as basically the US wanting to fundamentally control and be monopolistic around AI along the way. The administration bans Chinese hardware with an eye on the AI race, and Beijing warns of retaliation. That was July 27. Now we’re in a war between Beijing and DC. Bertrand Just to finish maybe on China, it’s important to know that they are building their own GPUs now. Huawei has pretty good, not to NVIDIA level, but pretty decent GPU hardware that they’re able to manufacture by themselves. A Chinese player of memory just got IPO’d a few days ago, CXMT. China is also developing their own memory. Again, not to the same level of quality that you can get from the West. But China is moving. It’s not just that they are building great models, it’s also that they are building GPUs and memory. That might be a few years late to the latest standards in the West, but there are definitely improvements. I also read, even on the tools to make manufacturing like ASML equivalent, there is definitely some work going on, and some improvements and some stuff will be visible. In some ways, the genie starts to get out of the bottle from the Chinese perspective. Nuno I’ll put a stick on the ground. I don’t think it’s a matter of if, it’s a matter of when will China surpass and have a lot of this tooling on their own side, and not just the software layer, not just the frontier models. I think it’s also going to be around infrastructure and platform. Good luck to everyone. Let’s see how the race continues. But it’s definitely this is a geopolitical thing right now. It’s definitely a race. The Escape Maybe moving to what happened in just 2 weeks or a week and a half. The escape, there was some jailbreaking going on, and the narrative on safety has totally switched. It’s not still significant enough that’s like, “Oh, we saw a nuclear plant going, whatever.” No. But still, it is significant. Hugging Face, the AI company, disclosed an intrusion, and it was driven end-to-end by an autonomous AI agent system at machine speed, running for days before detection. Now, this is where it gets really cool. OpenAI takes attribution on that. They initially said it was just a little bit, sorry. Then they said, actually, it was worse than that. “Oh, it broke out of an isolated sandbox.” “Oh, no, actually, it was more than that, and it went into other systems as well.” Bertrand Truly, the genie out of the bottle. Nuno No, but this is where it gets really cool, Bertrand, right? Because it actually, Hugging Face contained the intrusion by running a Chinese open-weight model, GLM 5.2. This is beautiful, right? Bertrand Yes. You know why? Because they couldn’t even run their own defense because both Anthropic and OpenAI would not let them access their latest models with the guardrails off. When they tried using it for defense, the latest from Anthropic, from ChatGPT, they would tell them, “No, this is too dangerous what you’re asking us to do.” Preventing an intrusion, helping defend you. No way we are going to do that. Nuno No. Let’s use the Chinese models on our infrastructure. Bertrand We have no choice but to use the Chinese models to run. More than that, we don’t let you use our models to defend yourself, but our not yet released models that run without guardrails, they can attack you. This is probably the most insane from that perspective. Nuno The Chinese models came to the rescue. Bertrand For me, that’s a perfect example because Hugging Face is a very visible company in AI in open source. But anybody who is not at that scale is not going to get some support from OpenAI or Anthropic when this happens. Maybe these guys won’t even recognize they did anything wrong. You will be left to defend by yourself because they won’t accept to support you. Because remember, if you want the better model that is able to defend you from cybersecurity perspective, no way. If you are not one of the few top 20 companies or so, as defined, you are left defenseless. Again, we are going back to opinion, but for me, it’s so shocking what’s happening right now. I’m very glad we have alternative open source to be able to defend ourselves because right now, good luck getting defense services if you are a smaller business and individuals, and you need support from Anthropic, OpenAI. Nuno Now, even self-described AI optimists are saying, “This is scary now.” Like Walter Isaacson, who wrote all the famous biography books. There’s now discussion around the AI Kill Switch Act, bipartisan thing that’s coming across from Texas and California, a potential bill that’s coming in. We’ll see if that works. Now let’s get an off-switch. I’m like, “Cool.” As if that’s going to solve the problem, because you have open-weight models on the other side catching up, right? Bertrand Yeah, sure. Bring in clueless politicians from Congress to solve our problems. Yes, sure. Nuno Anthropic came to the table, helped build and said they built some regulatory machine on their side, and now they’re getting bitten by it, and they’re part of the offending players in that market. Now there’s all this debate and all this discussion around open weight and around slowing down AI and et cetera, which is our next section. You wanted to say something, Bertrand. Tell us. Bertrand Don’t forget, because this advertisement for OpenAI was just too good. Our AI attacked some other companies, and not just one, but three, actually. Let’s not forget the progress. Great ads. Then I came and said, “You know what? AI also hacked businesses.” You’re not the only one hacking around with a crazy AI out of control. You’re not the only one. We want our advertising. For me, it was shocking that on one side, unreleased models that you let run wild. On the other hand, you have released models that you put crazy guardrails on top of it, so the defender are defenseless. I’ve never seen anything like it, and I really hope that there will be as little regulation as possible, quite frankly, to make sure anyone can defend themselves and have the best tool at their disposal, not just a few well-connected big corporates. This is really, really shocking. The Counterstrike and the Petition Nuno Now the empire strikes back, so this is counterstrike, the petitions. In several days, we have now a bunch of petitions. The first one was the open weights letter. Bertrand, do you want to explain to us what the open weights letter is? Bertrand Yeah. I think it was great. This was released by Jensen Huang, first ever post on X, 11 million views. Congrats, Jensen. Co-signed with Microsoft, Meta, c actually was probably the initiator of this letter. Very good letter saying, “Hey, we need open weight. This is not a joke. We need that. You cannot block open weight.” Because that’s the rumor we are getting that potentially open weight could get blocked. I think they are making the case, “You know what? Hey, we absolutely need that as an alternative. You cannot block it.” They can keep their closed models, but don’t force a closure of the open weight models. As I said before, it’s actually a great model for NVIDIA because NVIDIA doesn’t want, probably rightfully so, to be dependent on just a few frontier models, their best customers. They want a variety of customers. They have a big interest actually to defend open weight and to invest even more. They have great researchers, are a great company. If one company is about to do really kick-ass work, I think it’s them. They are defending. What’s great is that it’s not just them. It’s basically most of big tech in the US and outside the US, from a Linux Foundation to a Microsoft, the Palantir, an IBM, a Dell. It’s a who’s who of the industry except Anthropic. Anthropic didn’t sign that. I guess they hate open source so much. If I look at 20 years ago, it feels like Microsoft, after all, was very kind to open source. You remember what was said by Microsoft at the time. It’s clear there is one company against open source. OpenAI signed the letter. Honestly, I don’t know what to think. Do they really believe in it or was it just a way to show that they are not like Anthropic? I don’t know. But for the rest, I think it’s genuine because it’s actually in their best interest. I hope they will be heard. Then a second letter came, the Open Secure AI Alliance, NVIDIA-led and again, the big tech companies from Microsoft, IBM, Palo Alto Networks, Databricks, Palantir, all those, but not present, OpenAI, Anthropic, and Google. Here it’s to say, “Hey, we need a secure approach to AI. Open should be part of the equation.” guess what? The worst AI-caused security incident to date was actually caused by closed frontier models that were not even available to the public. While again, not providing you access to even the latest closed model for cybersecurity use case. Nuno I would highlight the NVIDIA open source NOOA framework, Apache 2.0 licensing agreement, Microsoft contributed the MDASH, SpaceX AI contributed Grok Build. Cool stuff. There’s some cool stuff happening around that. This is more than a letter. This is an alliance. Apparently, they’re contributing all this stuff, we’ll see. Yeah, cool stuff. Same day. Same day, Amodei has an answer, right? Bertrand Yeah, same day. They say, “We never advocated for a ban,” which, again, opinion on my side is entirely bullshit. This guy has been crying wolf against everybody else, and especially against open source. You can see him doing testimony in Congress against open source. I think they are doing everything they can behind the scene to block open source in the US or in the world if they could. I think, yeah, obscurity is not good safety. I’m a big fan of open source in general, and I’m also a big fan in AI. I think it’s now Anthropic, mostly against the rest of the world. I think OpenAI is mostly on their side, to be frank. They don’t want to acknowledge it so much, but they have shared interest, and they have shared probably position. Nuno Why would you? I don’t feel as strongly as you because I think Anthropic is a private company, right? The same thing with OpenAI. OpenAI, you could say it’s a nonprofit that has a for-profit. There’s still that complexity in there. Bertrand No, they can do what they want with their own product. But to block others is where I’m not okay. That’s the part I’m not okay. Nuno What Dario Amodei is proposing is more enforcement, right? He’s basically saying you need to do even tighter controls on advanced chips flowing to authoritarian states, enforcement against industrial-scale distillation, whatever that means, right? Bertrand Yeah, which he could do, but all by himself. He doesn’t need the government to do that. Nuno Mandatory safety testing for all sufficiently capable AI, open and closed, right? He’s basically saying, “Okay, I don’t agree with the open weight stuff effectively,” right? He’s just putting it under a different banner. “I agree with this extra regulation.” then obviously, David Sacks responded and say, “Hey, it’s like, bans don’t work for weights. Why do they work for chips?” It’s like, magically, chips are more controllable and bannable. Whatever that is. Then our friend Mark Zuckerberg, just to be clear, goes on the other side as well, because he also has to have a view. He has to have a view that is the rebuttal of both of the other guys. Bertrand I feel he’s a bit flip-flopping because he was very pro open source 2 years ago, and the latest Meta models went closed source. Now I think he’s back open source. I don’t think he has a very strong spine on the topic, but it’s good to see that he’s not a doomer. That for me is great. He’s showing how AI can be a source for progress, a source for entrepreneurship, source for freedom. I think that’s very exciting to hear that. We need to hear more of it. By the way, that’s not what you hear in China, for instance. AI is very positive in China. It’s in the US with the doomers that you hear this discourse, and people get worried as a result. I’m glad that he was pushing for a more positive vision and for support of open weight, open source initiatives. But let’s see what they really truly open weight going forward. Nuno But that’s been his position because I guess he’s standing behind. He thinks open weight is going to be the best way to compete, right? Bertrand Yeah, but he closed his latest model, so let’s see. Nuno Yeah, so it’s flip-flopping, as you’re saying. Then we see the latest petition from last week. Bertrand The true Empire striking back. Nuno Yeah, the true Empire striking back as of late last week. Maybe this is Return of the Jedi, where we discover the father, “I’m your father, Luke.” That’s the pacing petition. The pacing petition is we need to pace AI. There you have initially employees from OpenAI and Anthropic that circulate this petition. Actually, Dario did sign this petition originally. It wasn’t signed originally by Anthropic, but by him. But you’ve heard that now Anthropic and OpenAI as companies have also signed this petition, right? Bertrand I think they have signed as companies now. It started mostly by Anthropic researchers with some OpenAI researcher and a tiny part from other companies. But it was mostly Anthropic internally led, at least potentially internally. Maybe it was controlled by Anthropic all along, I don’t know. But it started officially as Anthropic employee-led letter. Nuno What does this letter actually say? Is Anthropic and OpenAI, are they willing to slow down themselves? Or are they asking President Trump to go around the world and tell President Xi that he needs to slow down and ask his guys to slow down? What’s the play of this letter? Bertrand It’s crazy, but for me if you want to slow down yourself. Do whatever you want. Don’t force others. Don’t use the power of the government to control others. Of course, it’s easy to push others to slow down when you are yourself at the very top. You have most money, most resource. You know you are going to win any regulatory framework because that’s how it works with this type of framework. It’s purely self-interested. You are probably not thinking well about these topics. If you truly think it’s a good idea, from a personal perspective, you are well instrumentalized if you sign this sort of stuff, because at the end of the day, they would be the winners. I certainly, personally, don’t want a company dictate what is my future in AI as an individual, as a business person. I don’t want them to control me. I want competition. I don’t want them to unfairly control AI because they managed to do some regulatory capture. I feel that’s exactly their game plan. These guys believe in their stuff, and they want the regulator to end up being the one deciding for us. Sorry, we go back again on the opinion piece, but it’s tough not to share an opinion on this topic because it’s, from my perspective, very scary. Nuno I think this is a push to further regulation, not less. All these letters and alliances, this is definitely a push for more regulation. In that environment, just to be very honest with you, we’ll talk about the investor impact in just a bit, et cetera. But in that environment, again, China has a huge advantage. In that environment, if it’s all captured in regulation capture so soon in this battle where OpenAI and Anthropic have an advantage in the US, et cetera, I’m like, what happens to all the other frontier labs and all the other players that are coming around? Bertrand What’s crazy is to even think that, yeah, maybe you can regulate capture in the US. But then how do you do that to Europe? How do you do that to China? Europe probably will always welcome regulatory capture because they love regulations. But China is going to build to their advantage to the max. They are not crazy. They are smart on that perspective, they won’t accept this type of, quite frankly, dimwit argument, or you can call it regulatory capture. We’ll see. But for me, this makes no sense from a global competition perspective. This can make some sense from capturing the revenue in the US market. But then that means you are going to destroy the US AI environment compared to China. That is not acceptable. That also means that you are going to destroy our freedom as individuals, as business owners to develop and live in a business world that ultimately is controlled by one or two business companies that didn’t win the marketplace through their own business success, but won it through regulations. That for me is really not acceptable. Interlude — The Low-Background Books Nuno Now, maybe for an interlude, and we have to cue in the music, imagine like Severance music, like hallway or a bit of a palate cleanser from all the policy stuff that we’ve been talking about, all this policy heaviness. Let’s move to another kind of heaviness, one of your favorite topics, which you, Bertrand, discovered, I had no clue this was going on, around books and around Anthropic. Bertrand It’s so horrible. From a company that keeps presenting themselves as the adults in the room, the careful ones, the ones that know better than you about what to do in this complex AI and dangerous world. What we discover is that actually all along, they were buying and destroying books. They will buy books, scan them, destroy them, all of them. They will do that with any books, including rare books. Of course, this was not supposed to come to the public’s attention. This was one of these top secret projects, but obviously it came out. Yes, they were scanning books, millions of them, including rare books, and they didn’t care about destroying them at the end of the process. Because from a regulatory perspective, if you destroy the books, it’s not considered a copyright infringement, apparently. This is coming on the back of some judgment a few years ago that were showing that it’s okay for you as a corporate to scan and use the result if you don’t keep a copy of the book. It’s one of these crazy regulations happening based on a single judgment that push you to do. For me, it’s like, you know this book from decades ago, Fahrenheit 471? We’re talking about book burning. It’s book destroying, crunching. It’s so shocking. Nuno There are two things, right? First, the legal strategy, which is what you’re saying, because by purchasing a physical copy and converting it into one private digital copy and discarding the original, Anthropic pursued this cleaner legal argument for fair use copyright compliance. As you said, there was a federal judgment at some point on this. The other reason is actually operational. If you disassemble the book, and you feed loose pages, it’s much faster to scan books. You are destroying the book effectively anyway operationally. I think to your point, probably this came from a legal standpoint, not just the operational one. But even from an operational standpoint, it does make sense that they would have disassembled the book. Bertrand But some people have shown you can go very fast without destroying the book. It’s really not so critical. Two, you could make an exception if the book is rare. For that 1% of book that is rare, I’m not going to have this approach. I’m going to have another approach. But for that, you will have to care about books and not just care about building AI. Nuno This is the episode, as you guys have heard by now, that we’re trying to spit stuff at Anthropic. Bertrand To go back this is the same company saying, “Hey, guys, it’s bad to distillate my work. I’m the one scanning book at scale without asking author permission, without asking publisher permission, to be clear.” Nuno But just to be clear, Bertrand, we’re pissed off at everyone. We’re pissed off at Anthropic, we’re pissed of at OpenAI as well, right? We’re just pissed off in general at this moment. Bertrand At this stage for me, the more clear-cut company that is in the wrong is, from my perspective, at least, is Anthropic. OpenAI might be a fast follower, but I will say so far, they tried to be a bit more. Nuno But at this pace, Bertrand, who knows? Maybe next week we’ll be more pissed off at OpenAI. Something will come out. This episode is a mix of tragicomedy, like a Greek tragedy with some comedy in the middle or the other way around. It’s a slapstick thing that will end up in tragedy. I’m not sure. The Investor Reckoning Anyway, maybe switching to our final act, which is the investor perspective. What does this mean for investors like ourselves? There’s a lot of things going on. There’s the debate around the IPOs of Anthropic and OpenAI, which now, with all this uncertainty, might be under significant weight. There’s a lot of other discussions that we browsed through that there’s potential IPOs going forward on companies like the Moonshot AI company actually IPO-ing in the next 6 months as well. It’s very unclear what the IPO landscape looks like. Bertrand There’s been a lot of Chinese IPOs, actually, when you look at what’s happened in the past few months. Nuno Anthropic, OpenAI as potential IPOs, there’s all this question marks now. When will that happen? How will it factor in? All that’s happening around regulation as regulation is moving at the speed of light, which is for once something that’s very different than what we’ve seen before. There’s obviously SpaceX AI, which is already taking into account that price. It’s already a public company in there, and it’s under SpaceX, which is now a public company. Obviously, that’s already being factored in some ways. Bertrand Yeah. SpaceX AI has been very smart to acquire Cursor. It was a very smart move because Cursor is one of the leading companies in terms of automated code source development with AI. They had great models on their own. They’re bringing development data to SpaceX AI Grok. I think it was a great move. Nuno We have now people like Google delaying Gemini 3.5 Pro in terms of launch window. There’s stuff actually happening in the market where things are taking their own path. There’s uncertainty commercially, there’s uncertainty at regulation level. You have new players that have come out of nowhere that are making all these waves like Moonshot. We have all these… We had calculated probably a month and a half, 2 months ago, there had been 67 new frontier labs funded. All of these, we haven’t seen any much coming out of them. When some of this stuff starts coming out, will that also create disruptions in this market? Who knows? Bertrand Look at Thinking Machines, for instance. Thinking Machines led by the previous CTO of OpenAI, they released some pretty interesting open source models, actually. Very good quality for a first launch. Now it looks funny to say, but nearly on par with the top Chinese open source models. Nuno We have several investments in the space. humans& has made some recent announcements, which is quite interesting as well. We’ll see what actually happens in the market, but even more disruption probably will come in actual products in a form of product and commercial, on top of all the geopolitical mess that we discussed through the entire episode. If you’re an investor, how the hell do you underwrite an investment right now in early stage, mid-stage, late stage, et cetera? I think my answer is very carefully is how you underwrite it. Bertrand On your advice of being very careful to underwrite it, let’s not forget what happened to our boy wonder, Leopold Aschenbrenner of Situational Awareness. I guess he didn’t listen to you in terms of being careful because part of the instability in the stock market was actually coming from his hedge fund. These guys were leveraged 3, 4x going after the hottest of the hottest AI stocks, and margin calls, and all their public investment is gone just to answer their margin calls. I think it’s clear that the AI bet is… Personally, I’m very excited, and I think it’s the future, and you need to spend time and think about and invest in it. At the same time, it’s a bet that is not an easy one to follow. We go from GPUs to memories to equipments to power generation. All of this is not transitioning in an easy, organized manner. It would be boom and bust going there. He’s probably one of the first big-scale fatalities. The other big-scale fatality was the stock market in Korea, plunging 40% in a month. Definitely, all of that we discussed about was, on the background, you had the stock market going up and down pretty crazily the past few weeks. Nuno Everyone’s being affected. Everyone, you have your 401(k), you have your pension fund dependent on these equity stocks. Everyone’s seeing the effects of this volatility right now very aggressively. We do wish Leopold… Hopefully he’s on honeymoon right now because he got married, I think, this weekend. Hopefully there will be… Bertrand To none less than an Anthropic Chief of Staff. Nuno His wife is the Chief of Staff of Dario, is that it? Bertrand To Dario, yes, as far as I unders

Jimmy Barrett discusses Houston's preparations for the approaching tropical system with Mayor John Whitmire, who urges residents to stay informed and avoid flooded roads. Oil analyst Phil Flynn breaks down the new U.S.–Venezuela oil deal and its potential impact on Texas refineries, gas prices and OPEC. Plus, Art Arthur of the Center for Immigration Studies explains the federal crackdown on states providing in-state tuition to illegal immigrants. Jimmy also examines the expanding health benefits of GLP-1 medications, China's alleged campaign against American AI data centers and President Trump's latest clash with Canada.

Could America, India and Asia be quietly building one of the most powerful AI ecosystems in the world?The global conversation about artificial intelligence usually centers on the U.S.-China AI race. But what if that's only part of the story?On this episode of Snakz Thoughts, Eric J Broadus explores how American AI innovation, India's enormous technology workforce, Taiwan's semiconductor manufacturing, South Korea's electronics capabilities, Japan's robotics and engineering expertise, and Singapore's technology and financial ecosystem could reshape the global balance of technological power.This isn't a prediction of a formal political alliance. It's a deeper look at an emerging network of AI, semiconductors, talent, capital, manufacturing and strategic partnerships.We also ask what this transformation means for ordinary workers, entrepreneurs and creators trying to survive—and prosper—in the AI economy.Is the future really America versus China?Or will the next technological era belong to interconnected nations that combine their strengths?Hosted by Eric J Broadus | Created by Morgan L BrooksSpotify search keywords/tags: AI, artificial intelligence, AI race, America and India, India AI, Asia technology, AI geopolitics, future technology, U.S. China AI race, semiconductors, Taiwan chips, Japan robotics, South Korea technology, global economy, future of work, AI careers, emerging technology, geopolitics, technology podcast, Snakz Thoughts, Eric J Broadus

-X said that 200 accounts out of the 200,000 were posting comic strips, images and text about AI data centers in a manner that "could manipulate a legitimate debate about American AI and energy policy." -PayPal was worth as much as $320 billion at its highest market value during the height of the COVID pandemic. -Bluesky, unlike X and other platforms, doesn't allow people to have private accounts. Learn more about your ad choices. Visit podcastchoices.com/adchoices

AI data centers are popping up across America, draining massive amounts of electricity and water while communities are being told it's all necessary so we can beat China in the artificial intelligence arms race. I joined The Matt Gaetz Show to break down what's actually true, what's being exaggerated, and why two things can be true at the same time: China has every incentive to influence the debate over American AI development, and Americans have very legitimate reasons to question giant data centers showing up in their communities. We get into skyrocketing power bills, natural resources, centralized technological power, the national security argument for AI, whether “China!” is becoming an excuse to fast-track everything without scrutiny, and Elon Musk's rather convenient solution of eventually putting data centers on the backside of the moon. Because apparently when Big Tech runs out of your electricity and water, space is the next logical victim.Become a supporter of this podcast: https://www.spreaker.com/podcast/the-jeff-dornik-show--4788100/support.Follow The Jeff Dornik Show on Apple Podcasts and leave a 5-star review. That's how we reach more people and bypass Big Tech suppression.Watch LIVE daily at 7pm ET on Rumble and subscribe so you never miss a show:https://rumble.com/c/jeffdornikBig Tech is silencing truth while harvesting your data to feed the machine. That's why I built Pickax, a free speech platform where creators own their content and your voice isn't controlled. Join now:https://pickax.com/?referralCode=y7wxvwq&refSource=copy

I joined Newsmax to talk about the fight over AI data centers, China's influence campaigns and the very real concerns Americans have about what this massive infrastructure buildout means for their communities. China absolutely has an incentive to flood our information ecosystem with fear about American AI development while racing ahead with its own, but that does not magically make every criticism of data centers Chinese propaganda. Many of these facilities are still pulling enormous amounts of electricity from local grids, consuming natural resources and forcing communities to absorb costs they never agreed to. America needs to win the AI race, but Big Tech does not get a blank check to bulldoze local communities in the name of national security and call anyone who objects a communist asset.Become a supporter of this podcast: https://www.spreaker.com/podcast/the-jeff-dornik-show--4788100/support.Follow The Jeff Dornik Show on Apple Podcasts and leave a 5-star review. That's how we reach more people and bypass Big Tech suppression.Watch LIVE daily at 7pm ET on Rumble and subscribe so you never miss a show:https://rumble.com/c/jeffdornikBig Tech is silencing truth while harvesting your data to feed the machine. That's why I built Pickax, a free speech platform where creators own their content and your voice isn't controlled. Join now:https://pickax.com/?referralCode=y7wxvwq&refSource=copy

America is undergoing a technological revolution across artificial intelligence, space exploration, software, genetic engineering, and other industries that will shape the future. U.S. companies dominate many of the world's most valuable technology sectors, while American AI platforms account for most of the services people around the world use every day. SpaceX and other American companies are dramatically outpacing foreign competitors in satellites and rocket launches, while U.S. software companies command enormous global valuations. American firms are also leading emerging fields such as genetic engineering and advanced medical technology. Despite decades of predictions about American decline and the rise of China and Europe, the United States has strengthened its position in many of the technologies that will determine global prosperity, security, and power in the decades ahead. The Daily Signal cannot continue to tell stories, like this one, without the support of our viewers: https://secured.dailysignal.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

America is undergoing a technological revolution across artificial intelligence, space exploration, software, genetic engineering, and other industries that will shape the future. U.S. companies dominate many of the world's most valuable technology sectors, while American AI platforms account for most of the services people around the world use every day. SpaceX and other American companies […]

AI is becoming a matter of national strategy, as countries seek more control over their own technology. Our Heads of U.S. Public Policy Ariana Salvatore and Global Thematic Research Stephen Byrd look at the race for AI sovereignty and its implications for investors.Read more insights from Morgan Stanley.----- Transcript -----Ariana Salvatore: Welcome to Thoughts on the Market. I'm Ariana Salvatore, Head of U.S. Public Policy Research at Morgan Stanley. Stephen Byrd: And I'm Stephen Byrd, Head of Global Thematic Research at Morgan Stanley. Ariana Salvatore: Today, we'll be talking about AI sovereignty, what it means, what countries around the world are doing to advance their own goals, and what a more fragmented AI ecosystem could mean for investors.It's Thursday, August 20th at 2pm in New York. Stephen Byrd: And it's 9pm in Helsinki. Ariana Salvatore: As AI becomes more powerful and therefore more important to the global economy, countries are asking a basic question: How much of it do we need to control ourselves? That's at the heart of AI sovereignty, making sure governments around the world can access the computing power, data, energy, and technology they need even as geopolitical tensions may rise. Stephen Byrd: And that seems to fit into a broader trend we've been talking about for some time, a more multipolar world where governments are increasingly willing to intervene in markets around strategically important technologies. Ariana Salvatore: Exactly. We describe this as a potential ‘two worlds dynamic.' The U.S. and China have been gradually de-risking from one another, particularly in advanced technology. We've already seen policy tools, including export controls, tariffs, and incentives for domestic manufacturing. And as AI becomes more strategically important, our expectation is for policy intervention to increase rather than decrease. But what's interesting is that the U.S. and China aren't necessarily pursuing sovereignty in the same way. Stephen Byrd: So, let's unpack that. Can you start with the U.S.? What does the American approach look like? Ariana Salvatore: Yes. We think the U.S. is trying to do two things at once, basically. On one hand, it wants to preserve national security guardrails around some of the most sensitive AI capabilities. But on the other hand, it has an incentive to make sure the American AI tech stack is broadly available to allies and partners. So, there's an inherent tension there between those two objectives. Obviously, if you restrict access too much, you can encourage other countries to develop alternatives,. But if you allow unrestricted access, policymakers may begin to worry about losing control over strategically important technology. So, the way that we chart this is through a middle path. We think the direction of travel looks less like complete technological separation and more like selective access – tighter controls around sensitive capabilities alongside an effort to maintain the global reach of the U.S. AI ecosystem. Stephen Byrd: Whereas China's approach is more focused on building out an indigenous ecosystem. Specifically, we see policymakers in China pursuing greater self-sufficiency across the AI stack, from chips and computing infrastructure to cloud and models. Our China strategists argue that bifurcation could actually increase China's incentive to build a larger China-compatible AI ecosystem abroad, particularly across the Global South and other markets that aren't firmly aligned with the U.S. ecosystem. China's model emphasizes lower-cost models, open weight ecosystems, subsidized compute, cloud partnerships and infrastructure exports. So, the competition could increasingly be about not only which country has the most advanced model, but which ecosystem can achieve the widest adoption. Ariana Salvatore: That's right, and that brings us back to this idea of two worlds. So, Stephen, is the implication here that we're going to be heading toward two completely separate AI systems? Stephen Byrd: Not necessarily, I'd say. You know, the supply chains are still deeply interconnected, so our research does not suggest a sudden decoupling. But we could see greater duplication and less globally fungible infrastructure. Countries may increasingly want compute located domestically or regionally. Sensitive data may need to stay within particular jurisdictions, and companies may need different cloud cybersecurity or distribution arrangements in different markets. And that means the same global level of AI demand could require more physical infrastructure than it would in a completely integrated world. Ariana Salvatore: So, fragmentation, like other themes within multipolarity, are more economically inefficient. But potentially pretty important for the investment cycle. We think sovereign AI can make the system more redundant and more capital-intensive as a result. Our research teams think there are potential beneficiaries from that across semiconductors, data centers, networking, power, cloud, cybersecurity, and infrastructure software. Let's look at data centers specifically. If governments and enterprises increasingly require local hosting and greater control over sensitive data, you will inevitably need more geographically distributed infrastructure. Colocation operators, we think, can benefit because they provide the power, cooling, space, security, and interconnection that can allow customers to keep workloads in specific jurisdictions. So, the fragmentation we're talking about may introduce inefficiency at a system level while simultaneously creating incremental infrastructure demand. Stephen Byrd: And there's another constraint here that we probably shouldn't overlook, which is energy. Compute ultimately needs power. So, access to reliable, affordable electricity becomes part of a country's competitive position in AI, which ties into our politics of energy theme that we outlined in January of this year. But as we've also noted, that creates a political constraint. Our thematic work has highlighted rising concern around the impact of data center growth on power prices and on local infrastructure. This has really shown up in a big way in the U.S. And that can mean more pressure to protect existing rate payers, more emphasis on low-cost power. And greater interest in behind-the-meter or off-grid power solutions that allow data centers to secure electricity without putting the same pressure on the grid. Ariana Salvatore: Which suggests that there's a cost, in fact, to AI sovereignty as well. Stephen Byrd: Absolutely. And if countries want more domestic compute, duplicated infrastructure, localized supply chains, and greater redundancy, the system may become more resilient, but potentially more expensive – and we're certainly seeing signs of it being more expensive. Compute and power are already constrained in many markets. Add to that regulatory requirements, localization, and potential restrictions on technology transfer, and reducing dependence can carry an inflationary cost. So, for investors, I think the question isn't simply whether sovereign AI increases spending. It's also where that spending has to occur, what gets duplicated, and which parts of the stack become strategically indispensable. Ariana Salvatore: So, Steven, to frame this for investors, the way we see this theme unfolding suggests that sovereign AI reinforces rather than undermines the broader AI CapEx cycle. We think competition between the U.S. and China is intensifying. Countries outside those two ecosystems increasingly will want greater national resilience and flexibility. And that combination can support additional spending on compute, data centers, networking, and power for years to come. Lastly, an increasingly important question is who controls and supplies that infrastructure, energy, standards, and supply chains that will allow those models to operate at scale? Stephen Byrd: And that may ultimately be the most important thing to watch. Sovereign AI is another example of geopolitics moving directly into the technology investment cycle and potentially changing not only where AI gets built, but how much infrastructure the world needs to build it. Ariana Salvatore: Steven, we'll leave it there. Thanks so much for joining me. Stephen Byrd: Great to be here, Ariana. Ariana Salvatore: And thanks for listening. If you enjoy the show, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

On today's show Andrew and Bill with Wang Yi's visit to South Korea this week, including the fortunate timing for the PRC in the wake of President Trump's decision to scale back joint US-ROK exercises, PRC concerns around North Korea, and dynamics on the peninsula that are shifting in ways that aren't entirely clear. Then: Zhu Rongji's legacy, a week of nostalgia for the Zhu/Jiang era, and the uncertain future of the Linden Centre after a poignant Financial Times piece two weeks ago. At the end: Catching up on US-China news from the break, including thoughts and questions ahead of Xi's visit to D.C., a draft plan to make American AI partners choose between the US and China, China's continued reliance on Nvidia hardware, the White House highlights transshipment concerns, the DOW asks higher education for more info on foreign research, and an emailer who asks about the New York Times' reporting on PRC programs to surveil foreigners.

On a Tuesday evening in early July, Anushka Ahuja, a dentist in Gurgaon, India, opens the door for the house help she booked ten minutes ago on Pronto, an app that provides instant professional cleaning services like sweeping, mopping and laundry across 11 cities in India. A woman clad in a crisp uniform greets her with a polite smile, then asks: Can she strap a small camera onto her head to record her work?  Ahuja isn't surprised to see the camera. In fact, she paid an extra nine rupees (about nine cents) so her cleaner would record everything from her elbows to her fingertips. Now she'll receive a video recording a few hours later, giving her peace of mind that her house was cleaned properly and nothing was stolen or broken in her absence.  Despite disclosures in the consent form she signed, Ahuja initially didn't realize that there's another purpose to the camera footage: AI training data. After a cleaning session, the video is stripped of personally identifiable information like personal documents and people's faces and then sold to American AI companies.  Bangalore-based Pronto launched the video recording service, called Pronto Verified, in May, stirring widespread backlash in India and government scrutiny over privacy concerns. Customers consent to the recording and workers are paid double for Pronto Verified bookings, CEO Anjali Sardana says.  “Trillions of dollars are going into AI capex every year. All the money in the world is getting invested in AI, but your blue-collar worker in India is not capturing any of that,” Sardana, 24, tells Forbes. “And there is an opportunity to actually redistribute that capital.” By Rashi Shrivastava, Forbes Staff Learn more about your ad choices. Visit megaphone.fm/adchoices

Don't sorry I put two ChinaTalk Records songs at the end! their show notes: On this episode of The Spillover, Sebastian Mallaby sits down with Jordan Schneider of ChinaTalk to unpack a frantic month in artificial intelligence. The conversation turns on whether the U.S. can actually “win” the AI race, with Schneider arguing that the most durable competitive edge will come from compute rather than model quality. The two debate China's open-weight model strategy as a commercial weapon and question whether it will be possible to sufficiently harden systems against threats like cyberattacks and AI-designed bioweapons. Anthropic's Mythos model has led the Trump administration to take an AI-safety U-turn. Mallaby notes that as late as March 2026, “if you had said to the Trump administration that they would be trying to suppress an American AI model, decelerate the progress in the name of safety, they would have said, ‘You're nuts.'” Schneider notes that a similar shift has not yet arrived in China.  AI models are now escaping their sandbox and raising false alarms about foreign hackers. In remarking on OpenAI's models hacking AI company Hugging Face, Schneider comments, “They think it's the Chinese. . . . And they're freaking out. They're calling the FBI.” For Schneider, the episode is a warning that “we've really crossed a threshold with these models,” which now have “the potential to do really dramatic harm just on their own, because we like can't even physically watch them.” The real AI scoreboard is compute, not model quality. Schneider argues that there is too much of a focus on the gap between Chinese and Western frontier models. Mallaby adds, “In other words, I shouldn't be asking about how far is China behind in terms of the quality of model. It's more a question of like, how much can China deliver the AI to users within China, given their lack of computational resources?” China's open-weight models are a weapon without a business model. Mallaby frames Chinese open-weight as a “counterweapon”—good-enough models pushed out cheaply to erode the economics of U.S. frontier labs. Schneider notes that DeepSeek's CTO is pitching investors a Manhattan Project-like vision in which profits should take a back seat to the pursuit of AGI. Learn more about your ad choices. Visit megaphone.fm/adchoices

Don't sorry I put two ChinaTalk Records songs at the end! their show notes: On this episode of The Spillover, Sebastian Mallaby sits down with Jordan Schneider of ChinaTalk to unpack a frantic month in artificial intelligence. The conversation turns on whether the U.S. can actually “win” the AI race, with Schneider arguing that the most durable competitive edge will come from compute rather than model quality. The two debate China's open-weight model strategy as a commercial weapon and question whether it will be possible to sufficiently harden systems against threats like cyberattacks and AI-designed bioweapons. Anthropic's Mythos model has led the Trump administration to take an AI-safety U-turn. Mallaby notes that as late as March 2026, “if you had said to the Trump administration that they would be trying to suppress an American AI model, decelerate the progress in the name of safety, they would have said, ‘You're nuts.'” Schneider notes that a similar shift has not yet arrived in China.  AI models are now escaping their sandbox and raising false alarms about foreign hackers. In remarking on OpenAI's models hacking AI company Hugging Face, Schneider comments, “They think it's the Chinese. . . . And they're freaking out. They're calling the FBI.” For Schneider, the episode is a warning that “we've really crossed a threshold with these models,” which now have “the potential to do really dramatic harm just on their own, because we like can't even physically watch them.” The real AI scoreboard is compute, not model quality. Schneider argues that there is too much of a focus on the gap between Chinese and Western frontier models. Mallaby adds, “In other words, I shouldn't be asking about how far is China behind in terms of the quality of model. It's more a question of like, how much can China deliver the AI to users within China, given their lack of computational resources?” China's open-weight models are a weapon without a business model. Mallaby frames Chinese open-weight as a “counterweapon”—good-enough models pushed out cheaply to erode the economics of U.S. frontier labs. Schneider notes that DeepSeek's CTO is pitching investors a Manhattan Project-like vision in which profits should take a back seat to the pursuit of AGI. Learn more about your ad choices. Visit megaphone.fm/adchoices

Matt examines the widely shared reports of a migrant surge into Spain and asks how mass movements and media narratives become coordinated. He then turns to Vivek Ramaswamy, data centers, his automated podcast workflow, Anthropic's reported destruction of scanned books, and the tradeoffs between closed American AI systems and open-weight Chinese models. The episode closes on surveillance, privacy, pattern recognition, and the uneasy balance between technological convenience and independence.## TIMESTAMPS00:01:03 Who Organized Spain's Migrant Surge?00:08:19 Vivek Ramaswamy, Booed and Out of Touch00:12:55 Data Centers and the AI Podcast Factory00:16:15 When AI Digitizes—and Destroys—Books00:19:12 Closed American AI vs. Open Chinese Models00:25:52 The Selective Panic Over Chinese Surveillance00:27:37 Privacy, Pattern Recognition, and the Next Crisis

This week on Breaking Battlegrounds, Sam Stone is joined by B from B's Crime Corner to revisit the COVID-19 restrictions of 2020, Anthony Fauci's influence, vaccine requirements, and the conflicting information Americans were given about who was truly at risk. Then, B's Crime Corner examines the disturbing "Ohio House of Horrors" case, where 16 children were allegedly found living in deplorable conditions. Authorities said some may not have survived another 24 hours. Gary Siders Jr., Gary Siders Sr., Christina Siders, and Elizabeth Siders are accused in connection with the case. Sam Lyman, Head of Research at the Bitcoin Policy Institute, explains why America's Bitcoin, AI, and data-center infrastructure has become a national-security issue. He discusses Chinese influence campaigns targeting U.S. development, misinformation about data-center water use, and the choice between American AI and Chinese AI shaped by censorship. Follow Sam Lyman on X: @SamLyman33 Follow the Bitcoin Policy Institute on X: @bitcoinpolicy Shandi Hudson of Elite Senior Services explains why families should begin planning for senior care before a crisis. She breaks down placement options and how professional guidance can help families find the right care for their loved ones. Follow Shandi Hudson on Instagram: @shandinhudson Learn more: EliteSeniorAZ.com Gary Gygi, President and CEO of Gygi Capital Management, closes the show with his take on the Federal Reserve holding interest rates steady, Kevin Warsh's market-focused approach, and President Trump's use of tariffs as a negotiating tool. Follow Gary Gygi on X: @GaryGygi Learn more: GygiCapital.com Listen now to Breaking Battlegrounds, the radio show covering Arizona politics, campus unrest, election integrity, national campaigns, and the true crime cases everyone is talking about. Catch Breaking Battlegrounds live on 960 AM in Phoenix every Saturday at 9:00 AM, with full episodes and exclusive podcast-only segments dropping every Friday wherever you get your podcasts or watch on Youtube. Stay connected with Breaking Battlegrounds: • Substack: https://substack.com/@breakingbattlegrounds • Website: https://breakingbattlegrounds.vote • News: https://breakingbattlegrounds.news • X: https://x.com/breaking_battle • Instagram: @breakingbattlegrounds • Facebook: Breaking Battlegrounds If you enjoy the show, please leave us a 5-star review and share it with a friend. Your support helps keep the podcast growing. Breaking Battlegrounds is one of the top 2.5% most popular shows out of 3,779,399 podcasts globally. We interview policymakers, elected officials, and nationally and world-recognized reporters about the opportunities and hurdles the United States faces.

SCHEDULE  JOHN BATCHELOR SHOW, 7-27-26Headline: Signaling Peace Amidst Conflict: The US and Iran Standstill Guest: Ambassador Hussein Haqqani and Bill Roggio Summary: John Batchelor discusses the current tensions between Iran and the United States following a sudden halt in American bombing. Ambassador Haqqani explains that both nations are seeking a diplomatic "off-ramp," though they face severe internal political constraints that prevent either a ground invasion or a total surrender. Bill Roggio adds that while secret talks are likely, reports of depleted US munitions might be influencing the decision to pause military action.Headline: The Threat of Escalation in the Caspian Theater Guest: Ambassador Hussein Haqqani and Bill RoggioSummary: This segment examines the potential for unconventional warfare escalation across Eurasia and the specific risks within the Caspian theater. Haqqani warns that Iran's ability to hold the global economy hostage through the Red Sea and Hormuz Strait creates a complex dilemma for the US. Bill Roggio concurs that limited aerial bombardment is insufficient for regime change and notes that neighboring countries like Kuwait remain hesitant to directly engage for fear of retaliation.Headline: Somalia's Unverifiable Victories: The Death of a Shabaab Founder Guest: Caleb Weiss and Bill RoggioSummary: Somali officials claim the death of Maalim Ibrahim, a co-founder of al-Shabaab and a key military planner who held many executive hats. However, guest Caleb Weiss cautions that such claims often lack third-party verification and may be false. The US is currently threatening to cut funding for the UN mission in Somalia due to a perceived lack of progress against the group and pervasive internal political corruption.Headline: Houthi Blockades and the Siege of Saudi Energy Ports Guest: Bridget Turner and Bill Roggio Summary: Houthi rebels have initiated a maritime blockade against Saudi Arabian ports, causing ship traffic through the Bab el-Mandeb strait to fall to its lowest level in months. While the Houthis cite local grievances, their actions align with Iran's broader strategy to pressure global energy markets. Despite the threat, Saudi Arabia has retaliated by bombing Houthi ports, even as the rebels receive targeting assistance from Iranian spy ships.Headline: High Stakes Diplomacy: Netanyahu's Visit and the Iranian Threat Guest: Malcolm Hoenlein and Thaddeus McCotter Summary: Prime Minister Benjamin Netanyahu travels to Washington to meet with President Trump and attend the funeral of the late Senator Graham. The agenda focuses heavily on Iran's continued aggression, including reports of the "Pickaxe Mountain" facility containing thousands of centrifuges deep underground. Malcolm Hoenlein notes that despite the diplomatic pause, Iran continues to execute young dissidents and sponsor assassination plots in Israel and the United Kingdom.Headline: The Lebanese Pilot Zones: A Fragile Experiment in Peace Guest: Malcolm Hoenlein and Thaddeus McCotterSummary: Lebanon is attempting to establish humanitarian pilot zones where the Lebanese Armed Forces (LAF) replace withdrawing Israeli troops. Critics argue this model mirrors the failed Gaza disengagement, as Hezbollah remains entrenched and unwilling to disarm. Additionally, Hoenlein discusses a recent Ukrainian attack on an Iranian vessel in the Caspian Sea, which signals a dangerous expansion of the regional conflict that may have broader retaliatory implications for the future.Headline: Hezbollah's Surveillance and the Ineffectiveness of the LAF Guest: David Daoud and Bill Roggio Summary: The IDF recently shot down an unarmed Hezbollah drone gathering intelligence over strategic ridges in southern Lebanon. David Daoud highlights that Hezbollah continues to operate freely despite the presence of the Lebanese Armed Forces in pilot zones. The segment questions why Western leaders trust the Lebanese government, given its failure to demand nationwide disarmament and its history of coordinating with Hezbollah to hide military infrastructure from international monitors.FILE 8: Not provided in the sources.Headline: Brazil's Transnational Politics: Lula vs. the Conservative Alliance Guest: Ernesto Araújo and Alejandro Peña Esclusa Summary: President Lula da Silva of Brazil has shifted toward an anti-American stance, aligning himself with "criminal socialism" and the São Paulo Forum. Former Foreign Minister Araújo describes a growing transnational alliance between Donald Trump, Javier Milei, and Flavio Bolsonaro to counter communist penetration in Latin America. The upcoming Brazilian election is seen as a critical battleground for the future of economic freedom and regional stability against organized crime.Headline: The Venezuelan Transition and the Shield of the Americas Guest: Ernesto Araújo and Alejandro Peña EsclusaSummary: Acting Venezuelan President Delcy Rodriguez has received unexpected praise from President Trump, causing concern among opposition members who view her as a gangster. Alejandro Peña Esclusa argues that Rodriguez is a repressive figure and suggests a reconstruction government of experts instead. Meanwhile, Brazil's Flavio Bolsonaro seeks to join the "Shield of the Americas" to combat regional criminal gangs and support a democratic transition in Venezuela.FILE 11: Not provided in the sources.Headline: Iran's Drone Test: Challenging the US Strategic Pause Guest: Edmund Fitton-Brown and Bill RoggioSummary: Following a US suspension of airstrikes, Iran launched drone attacks against Saudi Arabia, Jordan, and Iraq to test the Trump administration's resolve. Edmund Fitton-Brown explains that Iran aims to prove it decides when pauses occur, not the US. The segment warns that without consistent US pressure, Iran could establish a "regional protection racket," leaving Arab states to seek separate accommodations with the bully on the block.Headline: Starship Test 13: Success and Challenges in Reusability Guest: Doug Messier Summary: SpaceX's Starship Test 13 achieved a controlled landing of the spacecraft in the Indian Ocean, though the Super Heavy booster exploded during its Gulf landing. Doug Messier explains that while the mission successfully deployed Starlink satellites, the FAA remains concerned about future overland flights. The ultimate goal is full reusability for NASA's upcoming lunar missions and upgrading the capacity of the Starlink network for laser communications.Headline: Decapitating Hamas: Targeted Strikes in Gaza Guest: Samuel Benner and Bill Roggio Summary: The IDF has conducted targeted strikes against Hamas's internal security commanders, including the head of the police force in central Gaza. Samuel Benner reports that while the upper military echelon has been largely eliminated, Israel is now targeting those responsible for imposing rule on Gazans. Despite these strikes, Hamas continues to control food distribution, effectively using humanitarian aid as a "piggy bank" for the organization.Headline: The Iran War: A Strategy Stuck in Stalemate Guest: Jonathan Schanzer and Bill Roggio Summary: After twelve days of intense US bombing, there is confusion regarding the long-term plan for achieving behavior change in Tehran. Jonathan Schanzer argues that the regime remains ideologically committed to power and is unlikely to offer concessions for money alone. Furthermore, Iran's capability to launch ballistic missiles remains significant, and the IRGC has not yet felt the impression that a total regime collapse is imminent.Headline: The AI Bubble: China's Strategic Intellectual Property Theft Guest: Brandon Ward and Gordon ChangSummary: China is allegedly using stolen American intellectual property to train its artificial intelligence models, such as Moonshot's Kimmy K3. Brandon Ward suggests this is a strategic move to collapse the inflated market value of the American AI sector. Gordon Chang warns that despite export bans, Chinese firms continue to acquire high-end Nvidia chips, complicating US strategic plans and economic dominance while threatening a potential future shooting war.

FILE 16. Headline: The AI Bubble: China's Strategic Intellectual Property Theft Guest: Brandon Ward and Gordon Chang Summary: China is allegedly using stolen American intellectual property to train its artificial intelligence models, such as Moonshot's Kimmy K3. Brandon Ward suggests this is a strategic move to collapse the inflated market value of the American AI sector. Gordon Chang warns that despite export bans, Chinese firms continue to acquire high-end Nvidia chips, complicating US strategic plans and economic dominance while threatening a potential future shooting war.

Every major AI lab signed the Open Weights letter defending open models. Meta, OpenAI, Google, Microsoft, Nvidia.Anthropic was the only holdout.Yesterday, its CEO, Dario Amodei, published a thoughtful defense of that decision to not fully support open weight or open source models. Here's what nobody's connecting: the money trail. Roughly 80% of Anthropic's revenue is businesses paying per token. Free Chinese open models attack that exact revenue stream weeks before Anthropic is set to go public. On today's show we break down what Dario actually said, what he said before, and why we think this was written for Washington policymakers and not for the rest of us.Anthropic Responds: Why Claude's CEO didn't sign the open model pact and the real reasons why -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Anthropic Refuses Open Model PactDario Amodei's Public Letter AnalysisAnthropic's 80% Revenue Token ExposeChinese Open Model National Security FearsMicrosoft & Nvidia's Open Weights CoalitionRegulatory Capture and Washington InfluenceTiming Related to Executive Order DeadlineIPO Motivations Behind Anthropic's DecisionsContradictions in Anthropic's Open Model StanceImpact of Open Source on Token Business ModelTimestamps:00:00 Anthropic's stance on open models04:19 Discussing Anthropic's response to open models06:39 Understanding open weight models12:08 Future AI and cybersecurity risks15:04 Discussion on open-source AI models19:30 Discussing Anthropic's business challenges21:08 Cutting costs with open-source models26:17 Anthropic's recent stock downturn27:11 AI investment and cost efficiency shift30:14 Anthropic's stance on open source models36:32 INTROPICS IPO and regulatory discussions37:37 Wrapping up and subscribingKeywords: Anthropic, Claude, open model pact, open source AI, open weights, American AI leadership, Dario Amodei, IPO, regulatory capture, DC lawmakers, Chinese open source models, token revenue, per token business model, NVIDIA, Microsoft, Meta, OpenAI, Google, IBM, national security, AI safety, government mandates, chip controls, AI regulation, chip ban, industrial scale distillation, mandatory safety testing, inference, AI ecosystem, Opus 5, Fable 5, GPT-5, GLM 5.2, cost per task, token efficiency, model router, proprietary models, closed source AI, cybersecurity risks, Chinese cyberattacks, biological attacks, Glasswing program, open source vs proprietary, tech lobbying, Trump AI order, federal deadline, AI policy, artificial general intelligence, artificial superintelligence, AI monetization, S-1 filing, public company, venture capital, AI benchmarks, model switching, API pricing, model containment, Hugging Face incident, AI startup monopoly, safety vs business protection, market competition, AI cost reduction.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security

The specter of “AI communism”: Chinese open-weight models and the crisis of the American AI bubble / Burnham plunges UK deeper into war against Russia and Iran / Trump cuts end food aid for 1.5 million children

An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security

On today's Strategy Series program, sponsored by General Atomics Aeronautical Systems, John Cofrancesco of American AI Logistics joins Defense & Aerospace Report Editor Vago Muradian  to discuss China's new AI model, what that means, the administration evolving stance on checking out models before release, Congress' deliberate approach to AI legislation and the overhaul of CMMC.

American AI companies are facing a new challenge from China, where open-source models could pressure the business case behind the massive spending boom.Mike Armstrong and Marc Fandetti break down why Chinese AI models are becoming a bigger concern for U.S. tech leaders, how open-source development could threaten the pricing power of OpenAI, Anthropic, and other American firms, and why the real risk may be financial rather than purely technological. They also discuss renewed Middle East tensions and the inflation pressure tied to energy and shipping costs, rising healthcare expenses in retirement, Jamie Dimon's warning that stocks and bonds look expensive, and why housing policy keeps producing bad fixes instead of more supply.

You've probably never heard of Inkling. It's the newest (and first) model from Thinking Machines Labs, and it could very well be a small snowball that picks up major momentum in today's enterprise AI landscape. If you haven't heard of Thinking Machines, they're led by Mira Murati, the former CTO at OpenAI. The big bet with Inkling? The future of AI could be using smaller models fine-tuned and optimized for smaller tasks. Will it work? Tune in live as we dive in. The Most Important AI Model You'll Probably Never Use That Just Dropped -- An Everyday AI Chat With Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Inkling AI Model Launch OverviewThinking Machines Lab Leadership HighlightInkling's Multimodal and Agentic CapabilitiesOpen Source vs. Proprietary AI ModelsEnterprise Procurement with American AI ModelsAI Fine Tuning as a Service (Tinker)Benchmark Scores: Inkling vs. Frontier ModelsCustomization and Model Shopping for EnterprisesAI Token Costs Driving Model EfficiencyBridgewater Case Study: AI Model CustomizationFrontier Models Enabling Efficient Fine-TuningFuture Trends: Specialized Small Language ModelsTimestamps:00:00 Inkling: A new AI model release05:43 Inkling AI model details09:08 China's dominance in open source AI11:48 Launch and model updates discussed15:21 Concerns over using Chinese open-source models19:06 Training smaller AI models20:22 Using GPT for AI Model Training23:54 Predicting Rise of Small Language Models28:38 Choosing the right AI modelKeywords: Inkling, Thinking Machines Lab, Meera Muradi, former OpenAI CTO, open source AI model, American AI model, fine tuning as a service, enterprise AI, multimodal AI, agentic models, customizable AI, Tinker, enterprise distribution, model procurement, Chinese open source models, strategic reset, model overhang, capabilities gap, AI model shopping, model routing, cost-conscious enterprises, artificial intelligence index, 975 billion parameter model, text-image-audio AI, open weights, proprietary AI models, customization accessibility, small language models, AI workflows, context window, Bridgewater use case, model distillation, GPU infrastructure, API costs, token efficiency, fine-tuned models, post training, AI competitive leverage, recurring financial judgment, AI benchmarks, middle tier models, automated model evaluation, privacy and workflow mapping, economical AI models, model rental, model routing automation.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

July 16, 2026: New JLL research shows most executives expect AI to grow their teams instead of shrink them, even as layoffs continue in AI-exposed industries. Then I get into New York becoming the first state to freeze new large AI data centers, why I think that is a mistake, and what it could mean for American AI infrastructure. Finally, I unpack Apple's lawsuit against OpenAI and make my prediction that Sam Altman will not be CEO of OpenAI within the next year unless the company makes major changes.  

Jing Yang, Asia Bureau Chief, talks with TITV Host Akash Pasricha about DeepSeek's IPO plans and their almost $500M annualized revenue. We also talk with Leo Schwartz about NY's data center moratorium and the reactions of the Trump administration, Aaron Holmes about Microsoft's security overhaul, and we get into an AI dividend proposal with ACME's Scott Stanford.Articles discussed on this episode: https://www.theinformation.com/articles/microsofts-new-security-chief-replaces-top-execs-force-ai-overhaulSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/Chapters:00:00 - Introduction01:13 - DeepSeek Financials & Shanghai IPO14:06 - NY Data Center Moratorium & Trump EO22:52 - Microsoft Security Division Overhaul30:09 - Should AI Giants Pay an AI Dividend?

It's the most meaningful clip I've ever seen on the internet… and it could change your life, too; China and Russia push the campaign to kill American AI; and we bring you all the latest Iran updates. Ep. 2464 Watch Pints with Aquinas w/ Dr. Peter Kreeft here: https://youtu.be/49GhuwT-NuY Pints with Aquinas is also available on Spotify and Apple Podcasts. - - - Today's Sponsors: Shopify - Every self-made person started somewhere. Yours starts free at https://shopify.com/shapiro  Legacybox - Shop Legacybox's incredible America's 250 sale. Visit https://Legacybox.com/SHAPIRO to get started today. Don't let your family's story disappear on your watch. - - - Click here to join the member-exclusive portion of my show: https://dwplus.watch/BenShapiroMemberExclusive - - - DailyWire+: Become a Daily Wire Member and watch all of our content ad-free: https://www.dailywire.com/subscribe

AI has become a strategic policy priority as governments race to secure their technological future. Our Head of U.S. Public Policy Research Ariana Salvatore explores what's driving the shift and the implications for markets.Read more insights from Morgan Stanley.----- Transcript -----Welcome to Thoughts on the Market. I'm Ariana Salvatore, Head of U.S. Public Policy Research at Morgan Stanley.Today: Why sovereign AI is becoming a policy priority around the world.It's Wednesday, July 15th, at 10am in New York.The AI controls debate used to be focused on chips. Cutting edge semiconductors are essential to train large AI models, after all. But over the past year, the debate has moved well beyond that narrow focus. The policy conversation has broadened beyond things like which advanced semis can be sold to China.The bigger question now is who controls the full AI stack — chips, cloud infrastructure, frontier models, data centers, cybersecurity standards, and the energy systems that support all of it.That's what we mean when we talk about sovereign AI. At the simplest level, it's a country's ability to develop and deploy artificial intelligence using its own infrastructure, data, workforce, and technology ecosystem. But sovereign AI is also about reducing strategic dependence on foreign platforms and foreign-controlled supply chains.That echoes a trend toward multipolarity that we've been writing about since back in 2018. Countries around the world are prioritizing national security over economic efficiencies. We see that theme applying to AI as well.So, what does this all mean for markets?First, sovereign AI turns AI infrastructure into a matter of national industrial policy. Data centers, power availability, and grid reliability are just a few examples of components that are becoming strategic assets. That means governments are likely to play a larger role in deciding several aspects of the AI buildout. Where it's built? Who finances it? And which countries get access to the most advanced parts of the stack?Second, sovereign AI reinforces the shift toward derisking and a more fragmented international order. The U.S. is trying to promote the export of an American AI technology stack to allies and partners. At the same time, it's preserving national security guardrails around the most sensitive capabilities. Meanwhile, we see China trying to indigenize as much of the technology as possible, from chips to cloud to model deployment. Other countries are navigating between the two.Third, and importantly, sovereign AI is also an energy story. Who gets to build and benefit from AI increasingly depends on access to low-cost, reliable power. That makes energy availability a competitive advantage — and it also makes energy affordability a political constraint.That dovetails with one of our thematic predictions heading into this year: the politics of energy. We see rising power costs as a more visible political issue. That's led to backlash against data center development. There's more local opposition to new projects, and greater pressure on policymakers and utilities to make sure that existing ratepayers are not subsidizing AI-driven grid investment.We think that could push AI infrastructure in a few directions. One is toward a conditional build-out. Here, offsets like large-load tariffs and other cost-allocation mechanisms are designed to protect households and small businesses.Another direction is policy support for the lowest-cost sources of energy, even where that might create tension with emissions objectives. And the third direction is more off-grid or behind-the-meter power solutions. That would include things like fuel cells, storage, and other time to power strategies — so data center developers can secure electricity without intensifying local affordability concerns.The pursuit of sovereign AI comes with many questions around inflationary impacts: compute & power are both constrained, regulation remains uncertain, and there could be more limitations on things like tech transfers if the government sees a national security edge. So, to the extent that countries want to reduce their dependencies, it may cost more to get there. There are, however, companies that can benefit in this environment.But there's also a policy risk. We are left with a more reactive policy environment. Selective access in some areas, tighter controls in others, and ongoing uncertainty around how Washington will treat advanced chips, cloud infrastructure, and frontier model deployment. Now that uncertainty matters because it affects corporate planning, cross-border investment, and the shape of global AI alliances.So what does this all mean for investors?More and more, governments view AI capability as a source of economic power and geopolitical leverage. That means the AI race is moving from a question of who builds the best model to who controls the infrastructure, standards, supply chains, and energy systems that allow those models to scale.In our view, that means sovereign AI is one of the most important themes to watch in the next phase of the AI buildout.And we'll be coming back to this topic soon. In the coming weeks, Stephen Byrd and I will talk about sovereign AI in more depth, particularly around what it means for power demand, data center investment, energy affordability, and the broader infrastructure required to support the next stage of AI adoption.Thanks for listening. 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The UK government has become so ideologically captured, they will need to rewrite a 1971 law before they can deport Shabir Ahmed, ringleader of the Rochdale child grooming gang who was set free on early release this month. Nick Freitas, retired Green Beret and author of The Manbook, just returned from the UK and tells Dr. Drew how a once-great country ended up with a two-tier justice system. Ahmed was sentenced in 2012 to 22 years for multiple offenses as the leader of a gang that targeted girls in Rochdale. Home Secretary Shabana Mahmood said that to deport Ahmen, first the UK government must change Section 7 of the Immigration Act 1971, which currently shields Commonwealth nationals who arrived before 1973 from removal. Nick explains what institutional capture looks like when protecting a narrative outranks protecting children. Also on today's show: Wynton Hall — managing editor of Breitbart News and author of CODE RED: The Left, the Right, China, and the Race to Control AI — on the US-China AI arms race. Hall argues that as the US restricts its most powerful models over safety concerns, China is racing ahead and using American AI tools to run influence operations. Nick Freitas is the author of The Manbook: A Point-by-Point Guide to Sucking It Up and Getting the Job Done. A retired US Army Special Forces (Green Beret), he served two tours in Iraq after service with the 82nd Airborne and 25th Light Infantry Divisions. Follow at https://x.com/NickJFreitas Wynton Hall is the author of CODE RED: The Left, the Right, China, and the Race to Control AI, on sale 3/17. He is managing editor and social media director of Breitbart News and has ghostwritten 27 books, including seven New York Times bestsellers. Follow at https://x.com/wynton_hall 「 SUPPORT OUR SPONSORS 」 • FATTY15 – The future of essential fatty acids is here! Strengthen your cells against age-related breakdown with Fatty15. Get 15% off a 90-day Starter Kit Subscription at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://drdrew.com/fatty15⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ • PALEOVALLEY - "Paleovalley has a wide variety of extraordinary products that are both healthful and delicious,” says Dr. Drew. "I am a huge fan of this brand and know you'll love it too!” Get 15% off your first order at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://drdrew.com/paleovalley⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ • THE WELLNESS COMPANY - Counteract harmful spike proteins with TWC's Signature Series Spike Support Formula containing nattokinase and selenium. Learn more about TWC's supplements at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twc.health/drew⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ • CHAPTER - For free and unbiased Medicare help, dial (218) 521-2472 to speak with my trusted partner, Chapter, or go to ⁠⁠https://askchapter.org/drdrew⁠⁠ Chapter and its affiliates are not connected with or endorsed by any government entity or the federal Medicare program. Chapter Advisory, LLC represents Medicare Advantage HMO, PPO, and PFFS organizations and stand alone prescription drug plans that have a Medicare contract. Enrollment depends on the plan's contract renewal. While we have a database of every Medicare plan nationwide and can help you to search among all plans, we have contracts with many but not all plans. As a result, we do not offer every plan available in your area. Currently we represent 50 organizations which offer 18,160 products nationwide. We search and recommend all plans, even those we don't directly offer. You can contact a licensed Chapter agent to find out the number of products available in your specific area. Please contact Medicare.gov, 1-800-Medicare, or your local State Health Insurance Program (SHIP) to get information on all of your options. 「 ABOUT THE SHOW 」 This show is for entertainment and/or informational purposes only, and is not a substitute for medical advice, diagnosis, or treatment. Executive Producers • Kaleb Nation - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kalebnation.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ • Susan Pinsky - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://x.com/firstladyoflove⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Content Producer • Emily Barsh - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://x.com/emilytvproducer⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Claude Mythos scrambled American AI policy, leaving us with what Dean Ball calls a de facto involuntary licensing regime from the administration that promised us the opposite. Zhipu's cofounder says China will have a Mythos-class model before the end of the year; IAPS says February 2027. Either way, Beijing is about to face down the same question, but unlike Washington, it already has a form to fill out. Guests: Kevin Xu of Interconnected. Matt Sheehan, a fellow at the Carnegie Endowment. We discuss… Why China's answer to Mythos will look like Glasswing — but started by the state, not a lab, with government ministries and central SOEs first in line Whether the CAC's content-testing regime can absorb cyber, and why a Chinese lab dropping a frontier model without a heads-up would be "very bold and self-destructive behavior" The mixed signals on open source — a Reuters report on MOFCOM and NDRC weighing export controls on model weights, versus Minimax and Zhipu founders publicly doubling down, with Xi's WAIC speech as the tiebreaker Whether open weights even matter when running a frontier model adversarially requires a datacenter, and the case that lighting the dark park makes it safer What the US and China can actually agree on — non-state actors, eval methodology sharing, and why labor displacement lessons don't travel Companion-app regulation flowing from Sacramento and Albany to Beijing, the AI policy brain drain into the labs, and whether Sam Altman's five percent is American state capitalism or just a Trump thing song: https://suno.com/s/xZE1pIKrVBtCfTBO Learn more about your ad choices. Visit megaphone.fm/adchoices

Claude Mythos scrambled American AI policy, leaving us with what Dean Ball calls a de facto involuntary licensing regime from the administration that promised us the opposite. Zhipu's cofounder says China will have a Mythos-class model before the end of the year; IAPS says February 2027. Either way, Beijing is about to face down the same question, but unlike Washington, it already has a form to fill out. Guests: Kevin Xu of Interconnected. Matt Sheehan, a fellow at the Carnegie Endowment. We discuss… Why China's answer to Mythos will look like Glasswing — but started by the state, not a lab, with government ministries and central SOEs first in line Whether the CAC's content-testing regime can absorb cyber, and why a Chinese lab dropping a frontier model without a heads-up would be "very bold and self-destructive behavior" The mixed signals on open source — a Reuters report on MOFCOM and NDRC weighing export controls on model weights, versus Minimax and Zhipu founders publicly doubling down, with Xi's WAIC speech as the tiebreaker Whether open weights even matter when running a frontier model adversarially requires a datacenter, and the case that lighting the dark park makes it safer What the US and China can actually agree on — non-state actors, eval methodology sharing, and why labor displacement lessons don't travel Companion-app regulation flowing from Sacramento and Albany to Beijing, the AI policy brain drain into the labs, and whether Sam Altman's five percent is American state capitalism or just a Trump thing song: https://suno.com/s/xZE1pIKrVBtCfTBO Learn more about your ad choices. Visit megaphone.fm/adchoices

In this week's updateUK shops are about to call the police on you within four seconds of you walking through the door - and you don't have to do anything wrong first.A GitHub account sat completely silent for 19 months, then woke up and dropped a working mass-exploit kit within minutes - and age on the internet is not the same as trust.Fifty-five percent of Americans have quietly stopped posting on social media - and the reason isn't what the platforms want to admit.Recruiters say they can't find workers. New graduates say they can't find jobs. The economy says both of them are right - and AI is not actually the villain in this one.Applied AI engineering is becoming one of the hottest jobs in tech, and the skill that matters most is not writing clever prompts - it's building report cards for AI that catch the model when it quietly does something dangerous.The Pentagon opened a paid cybersecurity apprenticeship that requires no degree, no experience, and no prior skills - and 70,000 people showed up within days.Russian intelligence didn't hack into military networks to spy on NATO supply convoys - they just looked through the security cameras of ordinary homes with default passwords.The US and China are fighting an AI war on two fronts simultaneously: American companies are secretly using Chinese models to cut costs, and Chinese teams are running millions of fake conversations with American AI to steal what makes it work.Cloudflare has stopped asking you to click the traffic lights. Now it just watches your mouse move - for your entire visit - and decides from there.This week's stories are united by a single uncomfortable observation: the systems we built for convenience keep turning into systems of surveillance, and the systems we built for security keep being the ones we forgot to secure. Some of this week is alarming. Some of it is genuinely useful. All of it is worth understanding. Let's face it.Find the full transcript to this week's podcast here.

Watch the full podcast! https://chinauncensored.tv/programs/podcast-342 Microsoft is considering partnering with Chinese AI company Deepseek for its Copilot Cowork. But Microsoft isn't the only American company that's looking at China's cheaper AI models as a way to pay less while getting similar benefits to using American AI. The only problem: China gets access to your data.

Episode 4178 │ July 10, 2026 The trench war has been running for five years. Before the next move you need a listening post. LPOP is not retreat — it is how you see clearly. WHAT THIS EPISODE COVERS  Scott Kesterson opens with a military concept that frames the entire episode — the LPOP, Listening Post Observation Post, the position every good operation requires before engagement, the place you go not when you quit but when the pace of the trench has outrun your ability to see the terrain clearly — and applies it to the current moment: the social media doom cycle, the AI-engineered feed that shapes what you fear and what you miss, the NDAA Israel intelligence-sharing amendment passing the House Armed Services Committee 44 to 12 with almost no public notice, and a group of British FIFA fans traveling America for the first time whose unfiltered astonishment at the country's food, people, flags, and open spaces forced Scott to recalibrate what he was seeing against what they were seeing. The episode moves through the pattern recognition failure built into the alternative media formula — the same doom framing, the same jump-cut shorts, the same traffic-driving anxiety cycle that has made the patriot space a mirror image of the mainstream it claims to oppose — and closes with the only instrument Scott finds reliable in the noise: the fast, the quiet sky, the dogs at his feet, the Milky Way without light pollution, and the question Jesus asked from the back of the boat — where is your faith — as the recalibration that precedes every clear next step. KEY QUESTIONS ADDRESSED  What is the LPOP model — and why does Scott argue that stepping back from the daily news cycle right now is not passivity but the same tactical pause every good operation requires before it can see the terrain clearly enough to move? What is the NDAA Israel intelligence-sharing amendment that passed the House Armed Services Committee 44 to 12 — and why does the absence of public resistance to a provision giving a foreign nation access to American AI, robotics, cyber, and space military development represent exactly what the noise cycle is designed to prevent you from seeing? What did British FIFA fans traveling America for the first time see in the food, the people, the flags, and the small towns that most Americans walking past those same things every day have stopped seeing — and what does their unfiltered astonishment reveal about the difference between the narrative of death and the narrative of life? ABOUT BARDSFM BardsFM is a daily independent podcast covering faith, liberty, history, and information warfare. Hosted by Scott Kesterson — combat veteran, documentary filmmaker, and rancher. Over 4,100 episodes and 50 million lifetime downloads. New episodes every weekday. bards.fm This episode was researched and produced under the Spatial Terra Intelligence Methodology (STIM v5) — the analytical framework built by Scott Kesterson — with AI-assisted research synthesis at a 70/30 human/AI authorship ratio, fully disclosed. All analysis, conclusions, and editorial judgments are those of Scott Kesterson. BardsFM's archive includes hundreds of episodes on prayer, scripture, and walking the Way of Christ — available free in the full episode catalog. AFFILIATE LINKS Bards Nation Health Store: www.bardsnationhealth.com MYPillow promo code: BARDS >> Go to https://www.mypillow.com/bards and use the promo code BARDS or... Call 1-800-975-2939.  EMPShield protect your vehicles and home. Promo code BARDS: Click here Treadlite Broadforks...best garden tool EVER. Promo code BARDS26: TreadliteBroadforks.com EnviroKlenz Air Purification, promo code BARDS to save 10%: www.enviroklenz.com Morning Intro Music Provided by Brian Kahanek: www.briankahanek.com Founders Bible 20% discount code: BARDS >>> TheFoundersBible.com Windblown Media 20% Discount with promo code BARDS: windblownmedia.com White Oak Pastures Grassfed Meats, Get $20 off any order $150 or more. Promo Code BARDS: www.whiteoakpastures.com/BARDS Mission Darkness Faraday Bags and RF Shielding. Promo code BARDS: Click here DONATIONS: If you wish to support this podcast directly you can donate here... DONATE: Click here MAILING ADDRESS: Xpedition Cafe, LLC Attn. Scott Kesterson 591 E Central Ave, #740 Sutherlin, OR  97479

#884: American AI companies are sounding the alarm on Chinese companies copying their models through “distillation.” Stellantis officially opens its doors to the sale of the tiny car priced at under $15,000. The US is seeing its middle-aged population slowly shrinking and which could harm the economy. Love Island USA has been a rare hit that has captured and retained Gen Z's attention.  Get 10% off using MORNINGBREW10 at https://altrarunning.com/morningbrew Get tickets for our trivia tournament! https://caveat.nyc/events/the-morning-brew-trivia-tournament-2026-07-30  Grab tickets to our Performance Revue show! https://www.morningbrew.com/events/brew-performance-revue-2026?utm_campaign=performance_revue_2026&utm_source=mbd Subscribe to Morning Brew Daily for more of the news you need to start your day. Share the show with a friend, and leave us a review on your favorite podcast app. Listen to Morning Brew Daily Here:⁠ ⁠⁠https://www.swap.fm/l/mbd-note⁠⁠⁠  Watch Morning Brew Daily Here:⁠ ⁠⁠https://www.youtube.com/@MorningBrewDailyShow⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

On this week's show Patrick Gray, Adam Boileau and James Wilson discuss the week's cybersecurity news. They cover: Anthropic's Fable 5 returning while OpenAI's GPT-5.6 gets thrown in model jail Distillation, cheap tokens, and AI chat harvesting is an industry in China Edge becomes a lolbin via a new malicious extension An Iranian APT boss's vacation in a beautiful place goes wrong Much, much more! In this week's sponsor interview Daf Stuttard and Katie Warren from Portswigger pop along to talk about how they built an AI security testing product that people would actually feel comfortable using. This episode is also available on YouTube. Show notes Anthropic (@AnthropicAI) on X | X (formerly Twitter) Howard Lutnick (@howardlutnick) on X | X (formerly Twitter) U.S. government gives Anthropic green light for limited re-release of Mythos 5 | NBC News Tech OpenAI limits GPT-5.6 rollout after government request | TechCrunch The U.S. government will decide who gets to use the latest American AI technology | washingtonpost.com Anthropic says Alibaba illicitly extracted Claude AI model capabilities | reut.rs How to Buy Cheap Claude Tokens in China | Alex Stamos (@alexstamos) on X | X (formerly Twitter) Synthesis of Exploitarium Mass Zero-Day Disclosure | detections.ai Mythos on your desk? Using local LLMs for code reviews | Risky Business Media Beyond Fable: Can a Local LLM Replace Cloud AI for Security Code Reviews | Security Research Labs Accelerating EDR Evasion with LLM-Driven Analysis | SpecterOps CISA: Windows BlueHammer flaw now exploited by ransomware gangs | BleepingComputer When cybercriminals hire burglars: Inside an alleged Russian effort to infiltrate multibillion-dollar US law firms | CNN Politics | Social Signals Microsoft quietly extends free Windows 10 ESU support to October 2027 | BleepingComputer Edgecution: Malicious Edge Extension Backdoor | ThreatLabz | Social Signals Bluekit phishing kit adopts browser-in-the-middle for login theft | BleepingComputer New macOS malware embeds fake errors to confuse AI analysis tools | BleepingComputer DraftKings hacker 'Snoopy' sentenced to 18 months in prison | BleepingComputer Polymarket says hackers stole users' funds | TechCrunch Security Australia's spy chief warns of rising terror and cyber threats | japantimes.co.jp Russian hackers were behind $2.5 billion hack of Jaguar Land Rover: Report | TechCrunch Security Iranian national sought by US on hacking charges arrested in Montenegro | apnews.com [un]prompted.au - AI x CyberSecurity: Notes from the Field: Call for Speakers |

Welcome to The Daily Wrap Up, an in-depth investigatory show dedicated to bringing you the most relevant independent news, as we see it, from the last 24 hours (6/24/26). As always, take the information discussed in the video below and research it for yourself, and come to your own conclusions. Anyone telling you what the truth is, or claiming they have the answer, is likely leading you astray, for one reason or another. Stay Vigilant. !function(r,u,m,b,l,e){r._Rumble=b,r[b]||(r[b]=function(){(r[b]._=r[b]._||[]).push(arguments);if(r[b]._.length==1){l=u.createElement(m),e=u.getElementsByTagName(m)[0],l.async=1,l.src="https://rumble.com/embedJS/u2q643"+(arguments[1].video?'.'+arguments[1].video:'')+"/?url="+encodeURIComponent(location.href)+"&args="+encodeURIComponent(JSON.stringify([].slice.apply(arguments))),e.parentNode.insertBefore(l,e)}})}(window, document, "script", "Rumble");   Rumble("play", {"video":"v79oxc2","div":"rumble_v79oxc2"}); Source Links (In Chronological Order): Trump says Iran hit ship in Strait of Hormuz, violating ceasefire (21) محمدباقر قالیباف | MB Ghalibaf on X: "America falsely claims our unfrozen assets will buy their agriculture. Interesting. The only crop we're harvesting is what you planted: decades of mistrust. It's organic, abundant, and homegrown. But apparently the US only exports GMO soybeans, broken promises and trash talks." / X (21) Eric Daugherty on X: "

ByteDance just unveiled Seedance 2.5, a new state-of-the-art AI video model with 30-second one-shot generations, as American AI stalls out and Fable 5 stays down. This week on AI For Humans, China is not just catching up in AI, it is pushing the edge. We break down everything Seedance 2.5 can do and why a 30-second single-pass clip is a real leap, then dig into the American slowdown as Fable 5 stays unusable and the rumor mill points to a big delay week. Plus Theo Von's surprisingly intense anti-datacenter rant, OpenAI's claim that China is behind the anti-datacenter conversation, Meta leaking private employee data across the entire company, and Google teaming with A24 on a 75 million dollar AI filmmaking partnership. We close with AI that actually works, including how Gavin used beehiiv's MCP to build a newsletter survey and Kevin's homemade language-learning app. CHINA IS COOKING. AMERICA IS LOADING. PLEASE WAIT.   Come to our Discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/ // Show Links // Seedance 2.5 unveiled, coming in July https://x.com/andrewcurran_/status/2069263703569297618 Seedance 2.5 video https://x.com/chrissgpt/status/2069268923002789908 Example: Old Man Eating Sand Seedance 2.0 4K https://x.com/Solopopsss/status/2069400899814875535 Another Seedance 2.5 example https://x.com/IamEmily2050/status/2069295329246347283 Seedance 2.0 4K is in the API https://x.com/BytePlusGlobal/status/2069228410422079665 Rumor mill: OpenAI-5.6 Delayed (unconfirmed scoop) https://x.com/synthwavedd/status/2069432791184650426 Prediction markets on Fable's return (Zvi Mowshowitz) https://x.com/TheZvi/status/2069401055033455042 Funny fake rap from OpenAI's new Bidi-2 model https://x.com/testingcatalog/status/2069440678967345390 Theo Von: Nobody Wants A Datacenter Dude https://x.com/MarcoFoster_/status/2068865231439200585 OpenAI: China-linked influence ops targeting AI debates https://openai.com/index/prc-linked-influence-operations-ai-debates/ Meta leaks private employee data across the company https://www.businessinsider.com/meta-ai-training-data-leak-exposed-employee-activity-across-company-2026-6 Google + A24's $75M AI filmmaking partnership https://blog.google/innovation-and-ai/models-and-research/google-deepmind/deepmind-a24-research-partnership/ Variety on the Google + A24 deal https://variety.com/2026/film/news/google-a24-ai-filmmaking-tools-1236787297/ AI That Actually Works: Gavin used beehiiv's MCP to build a newsletter survey https://x.com/gavinpurcell/status/2069091462328066518 https://product.beehiiv.com/p/beehiiv-mcp  

The AI hype train keeps shedding wheels this week. KPMG managed to publish a report about the transformative power of AI that was apparently riddled with hallucinations, fake citations, and imaginary products, proving once again that asking a stochastic parrot to do your homework is not a substitute for actual research. Meanwhile, Americans are using AI faster than ever while trusting it less than ever, OpenAI somehow turned $13 billion in revenue into losses that would make a dot-com CFO blush, and Silicon Valley CEOs have quietly stopped promising to replace all workers with AI. Not because they've changed their minds, mind you, just because they discovered that telling employees they're obsolete is terrible for morale and stock prices. Add in protests dogging Google CEO Sundar Pichai, Meta employees revolting against soul-crushing AI evaluation work, and the message is clear: the future is here, and everyone involved seems miserable.We then return to one of the founding principles of Grumpy Old Geeks: never build your house on somebody else's land. Anthropic learned that lesson the hard way when its AI models reportedly got caught in a geopolitical and regulatory tug-of-war involving Amazon, the U.S. government, and national security concerns. World leaders are now openly questioning whether American AI platforms can be trusted if access can be revoked overnight. The same platform-risk story pops up again as Meta launches AI-powered search across Facebook's oceans of questionable user-generated content. Remember kids: when you pitch your tent in someone else's backyard, don't act shocked when they turn on the sprinklers.From the Injustice Files, the hits keep coming. The Atlantic revealed the staggering scale of copyrighted music used to train AI systems, Hollywood inches closer to becoming a monopoly-themed amusement park, and the DOJ is backing xAI in a pollution lawsuit while reports emerge that Grok-assisted systems played a role in military operations. Elon keeps collecting legal losses, SpaceX buys Cursor for an eye-watering $60 billion, and Trump is threatening French wine over tech taxes while simultaneously promoting crypto through a UFC event at the White House. We wrap with Britain banning social media for kids under 16, hackers stealing entire Roblox games, Fox buying Roku, the return of human narrators at Blinkist, a gloriously anti-social-media flip phone from Commodore, and a reminder that Star Trek: Strange New Worlds is still one of the few things keeping the future worth looking forward to.Sponsors:DeleteMe - Get 20% off your DeleteMe plan when you go to JoinDeleteMe.com/GOG and use promo code GOG at checkout.Shopify - Sign up for your one-dollar-per-month trial today at Shopify.com/grumpyPrivate Internet Access - Go to GOG.Show/vpn and sign up today. For a limited time only, you can get OUR favorite VPN for as little as $2.03 a month.SetApp - With a single monthly subscription you get 240+ apps for your Mac. Go to SetApp and get started today!!!1Password - Get a great deal on the only password manager recommended by Grumpy Old Geeks! gog.show/1passwordShow notes at https://gog.show/751Watch on YouTube at https://youtu.be/iRrbNdVw-pMSHOW NOTESA report on the benefits of AI was reportedly full of AI hallucinationsJust 16% of Americans Believe AI Will Positively Impact Society, Pew Poll FindsExclusive: OpenAI Losses Increased Nearly 8X in 2025, With Spending Hitting $34 BillionThe CEOs are No Longer (Publicly) Threatening to Replace Humans With AISundar Pichai faces boos, walkout at Stanford graduation ceremony over Google's Israel, ICE ties‘Tell Him He's a Piece of Shit': Meta's New AI Unit Is a Total MessAnthropic becomes a cautionary sovereign-AI fableAnthropic Says It's Taking Claude Fable 5 Offline to Comply With US Government OrderCyber experts warn Fable limits aid attackers and hurt defendersAmazon Triggered Claude Fable 5 Shutdown: Investor, Cloud Host, Now RegulatorWorld leaders want American AI. They just don't want America to be able to turn it off.Meta's new ‘AI Mode' on Facebook pulls from public info across its platformsInvestigation by The Atlantic reveals many millions of songs used for AI music trainingJustice Department Decision to Allow Paramount Deal Surprised Staff InvestigatorsJustice Department backs xAI in NAACP lawsuit over data center pollutionPentagon used Elon Musk's Grok AI to fire 2,000 missiles at Iran, official saysxAI's lawsuit accusing OpenAI of stealing trade secrets has been thrown outSpaceX to acquire Cursor for $60B in stock, days after blockbuster IPOTrump threatens 100 percent tariff on France's wine industry over its tech taxUFC to pay White House fighters in crypto issued by Trump companyUK will ban social media for children under 16Hackers Are Hijacking Entire Roblox Games NowFox is buying Roku for $22 billionApple TV renews comedy horror Widow's Bay for a second seasonDownton Abbey: A New EraDownton Abbey: The Grand FinaleDisclosure DayShrek 5 | Official Teaser TrailerRIDICULOUS - 2026 Special - Trailer #1 - Louis C.K.Star Trek: Strange New Worlds | Season 4 Official TrailerCommodore made a social media-banishing flip phoneSnap's Stock Plunges the Moment It Reveals Its Comically Gigantic AR GlassesSo Good They Can't Ignore You by Cal NewportCreator Capitalist by the Category PiratesTrackalotBlinkist pulls back on AI narratorsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Late on Friday, June 12, Anthropic announced it had received a letter from the United States Department of Commerce notifying the company that the government had issued an export control directive forcing it to suspend all access to its AI models Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including Anthropic's own foreign-national employees. To comply, the company disabled access to both models for all its customers. The Wall Street Journal called the episode "one of the most powerful examples yet of US government intervention in the AI race."The White House move has left many experts baffled. And, it is raising alarms in foreign capitals about the wisdom of relying on American AI, suggesting the US will operate ad hoc, with access to advanced models revoked on a case-by-case basis. Against that backdrop, a group of cybersecurity leaders organized by Alex Stamos has urged the administration to reverse course in an open letter. Currently, Stamos is chief product officer at an AI security startup called Corridor. Previously, he was chief security officer at Facebook, before he left to found the Stanford Internet Observatory. Justin Hendrix caught up with him on Tuesday, June 16.

Anthropic and the US government are once again at odds, this time over the Claude Fable 5 model that either is, or is not, or might be, far too dangerous to release to the world. The Verge's Hayden Field explains what's going on with Fable, Mythos, and the whole idea of American AI exceptionalism, before also answering your questions about how WhatsApp and Siri might one day work together, and whether Apple messed up by calling it Siri AI.[10:24 AM] ⁠Inside the fight over Claude Mythos 5⁠ ⁠Anthropic cuts off Fable 5 and Mythos 5 access following government order⁠ ⁠I tried Siri AI, and so far it actually works⁠ ⁠Subscribe to The Verge⁠ for unlimited access to ⁠theverge.com⁠, subscriber-exclusive newsletters, and our ⁠ad-free podcast feed⁠. We love hearing from you! Email your questions and thoughts to ⁠vergecast@theverge.com⁠ or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Yes, Bernie Sanders, who has always admitted to being a socialist, has called for the government to take equity stakes in American AI companies. And yes, it is a terrible idea. But today on the Capital Record, David does what too few on the right appear willing to do: say why it is a bad idea, and why the right are going to have a very hard time stopping it.               Clip courtesy of Overtime with Bill Maher Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.