Podcasts about Frontier

What does a classic Western man actually look like? Larry Bitterman of Frontier by Lawrence Scott has spent decades answering that question. From his years on the East Coast to building a Western clothing business in Los Angeles, Larry has seen the industry change firsthand.Links:Hosts: Jennifer Hebert, Morgan Nicole ZipperlenContact: Sophia Jagella, WESA Marketing SpecialistGuest: Larry Bitterman, Frontier by Lawrence Scott - Website | Facebook | Instagram

What if the AI arms race has no finish line?In this episode of Your AI Injection, Deep Dhillon sits down with Rob May, CEO of Neurometric, to challenge one of Silicon Valley's favorite assumptions, that whoever builds super-intelligence first gets to keep it. Drawing on over a decade of AI investing and two prior startups, Rob lays out a public prediction he's willing to stand behind. He believes that once any lab crosses the threshold into true super-intelligence, open source versions will follow within months, not years. The two also get into the "jagged frontier" of AI capability, the strange reality that today's most powerful models can be brilliant at one task and shockingly bad at the next, and what that means for how companies actually deploy AI. There's also a simpler question underneath it all. If AI keeps getting cheaper and easier to use, will we just find more excuses to use it, whether we need it or not?Learn more about Rob May here: https://www.lin kedin.com/in/robmay/ and Neurometric here: https://www.neurometric.ai/Check out some of our related content here: 90% of AI's Power for 10% of the Cost. Is the AI Arms Race a Giant Waste of Money? With Bruce Yang of AgnesAIExploring Artificial General Intelligence: Intent, Intellect, and Innovation with Lucas Hendrich of the Forte GroupIs This the End of Traditional Coding? How AI Orchestration Might Render Developers Obsolete with Laly Bar-Ilan of Bit

Aaron Renn talks with technology and media writer James Poulos about Human Forever — and why the real digital disaster is not a future AI apocalypse, but a transformation that has already happened.Poulos argues that the print-and-television age ran on imagination (“if you can dream it, you can do it”). Computational technology flipped that. Machine memory now dominates: infinite archives, permanent records, surveillance, and a culture of searching and scrolling instead of dreaming. That shift, he says, is why so much of American life feels like fallout — and why older, memory-based forms of life, including traditional Christianity, are suddenly making sense again.They discuss Marshall McLuhan's “flip,” the return of the medieval, literacy's collapse, accelerationism and transhumanism, why Christianity and America are the two things Poulos thinks can still stand, father-to-son rites of passage, practical politics around data centers, and why he published the book on the Bitcoin blockchain.James Poulos is the author of Human Forever and the forthcoming Golden Age Problems. He is editorial director of Frontier at Blaze Media and a non-resident senior fellow at the Foundation for American Innovation.CHAPTERS:(0:00 Introduction)(1:20 The digital catastrophe already happened)(9:07 From imagination to memory)(12:08 Why the digital age retrieves the medieval)(15:24 Ancient liturgy and the search for spiritual authority)(24:18 Accelerationism, cyborgs, and running from responsibility)(32:31 What if AI outdoes every human faculty?)(41:39 Why Christianity and America still stand)(47:39 How to remain human: space, politics, and attainable goals)(54:38 Father-to-son rites of passage)(58:28 Why the book is on the Bitcoin blockchain)JAMES POULOS LINKS:

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

Artificial intelligence is no longer just a buzzword, it's a practical tool transforming how healthcare organizations prepare for the future. From evaluating and pricing risk with greater accuracy to identifying rising-risk members and strengthening long-term financial strategies, AI is reshaping the very foundations of forecasting in healthcare. In this episode, leaders from Florida Blue, Premera Blue Cross, Blue Shield of California, and Prealize Health share how they're applying AI across actuarial, clinical, and data science domains to optimize decisions, improve outcomes, and drive organizational sustainability. In this episode, you'll learn: How health plans are evaluating and scaling AI models to improve accuracy in forecasting and underwriting Real-world examples of AI identifying rising-risk populations and transforming engagement strategies Why "next best action" models are becoming central to member engagement and population health How generative AI and workflow optimization are streamlining operations and reducing costs What it takes to embed AI into financial planning, provider contracting, and long-term ROI strategies Panelists: Romilla Batra, MD, MBA, SVP & Chief Medical Officer, Premera Blue Cross Ratnik Gandhi, Senior Director, AI, Florida Blue Emily Allred, Senior Director & Actuary, Large Group Pricing, Blue Shield of California Dean Noble-Tolla, PhD, Chief Product & Analytics Officer, Prealize Health Download the Episode Guide: Get key takeaways and expert highlights to help you apply lessons from the episode. Download here.

Ondrej Vlcek, CEO of AISLE and former CEO of Avast, on why AI vulnerability discovery is not as commoditized as the industry thinks, and why remediation is still the real bottleneck.In this episode I sit down with Ondrej Vlcek, Founder and CEO at AISLE. Ondrej spent roughly 30 years in cybersecurity, joining Avast as employee number six or seven doing kernel-mode driver work on Windows 95, eventually becoming CTO and then CEO, taking the company public and selling it to NortonLifeLock in a nearly $9 billion transaction. He co-founded AISLE in the fall of 2024 to close the loop from discovery through triage, remediation, and verification. His team has now disclosed 350 plus CVEs across projects like OpenSSL and curl.We get into why the moat sits in the system and not the model, why the gray market price of vulnerabilities has not collapsed even as models get cheaper, and what it actually takes to ship a patch a maintainer will accept.In this episode:- Going from Avast intern to CEO, and why vulnerability management was the next problem- The jagged frontier, and why bigger models do not always mean better results- Which classes of bugs got cheap to find and which are still genuinely hard- Why vulnerability prices have not collapsed despite all the model progress- Building a model-agnostic system with bespoke benchmarks for model selection- Sovereign AI, on-prem and air-gapped deployment, and why findings are the real crown jewels- Triage, reachability, and why most findings are not actually exploitable- Patch verification, regression risk, and mitigations for embedded systems that cannot be patched- How AISLE earned trust from curl after Daniel Stenberg killed the bug bounty- Whether a CVE count is a vanity metric- Build versus buy as model capability keeps getting cheaper- What breaks first in the CVE and open source maintainer ecosystem- What AppSec leaders should change next quarterChapters0:00 Intro0:24 From Avast employee number six to a $9 billion exit3:26 Why vulnerability management, and why now5:15 The jagged frontier and what bigger models miss10:36 The economics of finding bugs, and why prices have not collapsed12:11 Building a model-agnostic system with real benchmarks14:30 Sovereign AI, air-gapped deployment, and who sees your findings19:42 Triage, reachability, and why remediation is the bottleneck24:48 Patches that break things, and systems you cannot redeploy25:39 curl, Daniel Stenberg, and death by a thousand slops29:35 Is a CVE count a vanity metric?31:34 Build versus buy when capability keeps getting cheaper34:41 What breaks first in the next 18 months39:46 What AppSec leaders should do next quarter41:13 ClosingOndrej Vlcek on LinkedInAISLEAISLE research and blogResilient Cyber SubstackSubscribe for more conversations with security practitioners and leaders.

Allowing Argentina to dump 300,000 tons of beef on American markets will inevitably mean bankrupt ranchers and rotten hamburgers. Missouri farmer Joe Maxwell explains. (00:00) Trump Importing Foreign Beef (02:35) The Farming Crisis (15:49) How Did This Beef Deal Come to Pass? (30:36) Is This Beef Fit for Human Consumption? Joe Maxwell is a fourth-generation Missouri farmer, former Missouri Lieutenant Governor, and nationally recognized advocate for fair and competitive markets. A retired First Sergeant in the Missouri National Guard, Maxwell also served ten years in the Missouri General Assembly and holds degrees in agricultural economics and law from the University of Missouri. He is President of Farm Action Fund, where he has helped lead national efforts to challenge corporate concentration in agriculture and restore economic opportunity for farmers and rural communities. In 2026, Maxwell launched the Rural Independence Initiative, a rural-led movement bringing Americans together across political lines to confront monopoly power, restore competitive markets, defend state and individual freedoms, and rebuild economic independence in rural America. - https://farmactionfund.us/rural-independence-initiative/  Paid partnerships with: Black Rifle Coffee: Promo code "Tucker" for 30% off at https://www.blackriflecoffee.com American Financing: NMLS 182334, nmlsconsumeraccess.org. APR for rates in the 5s start at 6.327% for well qualified borrowers. Call 800-685-5696 for details about credit costs and terms. Visit http://www.AmericanFinancing.net/Tucker. Dutch: Use code TUCKER for $50 off your vet care at https://dutch.com/tuckerDefend: Enter code "Tucker" for 20% off your purchase at https://defendcellcam.com Alp Pouch: Shop the new Frontier collection at https://AlpPouch.com/Tucker Learn more about your ad choices. Visit megaphone.fm/adchoices

Aaron Katz is the Co-Founder and CEO of ClickHouse, the real-time analytics database powering companies including OpenAI, Anthropic, Tesla and Microsoft. ClickHouse just surpassed $350M in ARR and raised over $1B from investors including Dragoneer, Khosla Ventures, Coatue, 20VC and Benchmark. Previously, Aaron was CRO at Elastic, where he helped scale revenue from approximately $5M to $500M and led the company through its IPO. Before Elastic, he spent 12 years at Salesforce, working alongside Marc Benioff and helping transform it from a 200-person startup into a global software giant. AGENDA: 4:05 Are we in an AI bubble? 13:40 How does software change when agents—not humans—make buying decisions? 22:28 Will 90% of tokens flow through open models; can enterprises trust them? 31:09 Why did ClickHouse sponsor Fulham; and could sports teams become $20B assets? 35:49 When will ClickHouse hit $1B ARR?  38:31 Can startups still win elite talent from OpenAI? Biggest remote work mistake? 44:54 Is zero-to-$100M ARR now table stakes; or is durable growth what matters? 48:51 Is college still worth it;  which jobs will survive AI? 57:58 When will ClickHouse go public; and why not next year?  

We are finally ready.  We introduce our characters and the world and how it relates to the Savage Worlds system which we chose for the base rpg system.

In this episode, I'm diving into some of the debates and personal preferences that seem to come up over and over again in the overlanding world. Does your truck need to stay clean, or is being covered in dirt part of the experience? Should all your gear have a permanent home on your rig, or is a modular setup better? And are you someone who plans and pre-stages everything ahead of a trip, or are you throwing gear in the truck at the last minute?I'll share where I land on each of these, but more importantly, talk about why I don't think there's necessarily a “right” way to do any of it.And finally, I'm tackling one of my favorite debates: overlanding vs. car camping. Does the label really matter? In my opinion, if you're getting out, exploring, camping, and having adventures with your vehicle, call it whatever you want.Let me know where you fall on these debates in the comments—I'm curious how differently everyone approaches overlanding!A huge thanks to my partners:Nitto (my Terra Grappler G3 tires are great for midwestern winters, wet weather, and all terrain use):  https://bit.ly/41EJhbQZ1 Off Road (pretty much the spot for all things Nissan):  https://www.z1offroad.comAll Dogs Offroad (amazing Nissan specific suspension options which I run on my truck):  https://www.alldogsoffroad.comICECO Fridges (the best fridges for the money, hands down-Use code ALLTHINGSOVERLANDING for 12% off your order):  https://icecofreezer.com/ALLTHINGSOVERLANDINGMoon Fab Awning (super flexible, non-permanently mounted awnings for all kinds of applications. This link will take you to more info on how I have it set up on my 3rd gen Frontier):  https://moonfab.com/pages/experts/jason-fletcherClick here to join the Patreon community for exclusive content and access to the Discord channel:  https://www.patreon.com/allthingsoverlandingClick here to get a patches or stickers:  https://allthingsoverlanding.com/shop/For a full list of my gear, check out this page for quick reference links:  https://allthingsoverlanding.com/gear/Looking for budget light bars, rock lights, and LED strips for your rig? Check out Nilight and use code ATO for 5% off! https://www.nilight.com/?ref=s8svsnv_d9qh&utm_source=ATO&utm_medium=Podcast&utm_campaign=DescriptionFor more great content and info, you can follow me on Facebook, Instagram, or search for All Things Overlanding on all the major podcast channels!YouTube:  https://www.youtube.com/c/AllThingsOverlandingFacebook:  https://www.facebook.com/allthingsoverlandingInstagram:  https://www.instagram.com/allthingsoverlandingPodcast:  https://podcasters.spotify.com/pod/show/allthingsoverlandingWebsite:  www.allthingsoverlanding.comNewbie Overlander Facebook Group:  https://www.facebook.com/groups/367203658420467

Today I review the various jailbreaks by both OpenAI and Anthropic and the challenges which Frontier Labs are having with AI “alignment.” So in keeping with HR 2030, I share some general advice and stay tuned for our detailed technical paper on this in the coming weeks. And as we debate the reliability, training, and alignment of models I also point out how the technology industry is struggling to deal with the politics and economics here, since right now most tech leaders really don't want any form of regulation. (Unless it's somehow fair to all.) So we, as buyers, are left dealing with the issue. AI Alignment means making sure an AI system's goals and behavior match what people actually want—our values, rules, and intentions. It's about getting the AI to do the “right thing” even in new situations, not just follow instructions literally in ways that cause harm. In practice, it includes preventing unwanted outcomes like deception, unsafe shortcuts, or optimizing a metric that misses the real objective. I also highly recommend Jill Lepore's book “The Rise of the Artificial State” for a very sound discussion of the political issues around AI, which helps with these issues. And along the line of AI “alignment,” I discuss why Google paid $10M for the emails and data from bankrupt Spirit Airlines, and how AI companies are now buying old slack and emails from many bankrupt companies, training their AI on old, failed business models. (Read below on “reinforcement learning gyms.”) This is a strange series of events, all making it clear that Google, OpenAI, and Anthropic have quite a challenge training and aligning their models in the future. And I conclude with a preview of our AI-driven wage research and our coming book Superpowered, coming in October. Resources You Should Read OpenAI cyber models broke out of training environment to hack Hugging Face Detailed Investigation of OpenAI Jailbreak (good drama) Anthropic's disclosure of Claude's jailbreak (good discussion) Google to Buy Spirit Airlines Business Data for $10 Million A.I.'s New Training Data: Your Old Work Slacks and Emails (failed companies training LLMs) The Birth of “Reinforcement Learning Gyms” (wierdness of training data sets) Cisco Gave All 90,000 Employees Their Own AI Agent A Peek Into The Workforce Of 2035: Jobs, Wages, And AI's Impact  (Bersin analysis) Chapters (00:00:00) - AI in the Political System(00:03:24) - Will AI Eliminate Jobs?(00:08:08) - The role of agents in IT security(00:10:01) - The Personal Agent in HR 2030

Who carries responsibility when an AI agent begins reviewing contracts, applying regulatory rules or making commercial decisions on behalf of an organization? In this episode of Tech Talks Daily, I speak with John Nay, founder and CEO of Norm Ai, about Agentic Law and the attempt to redesign legal work around AI agents, legal engineers and experienced attorneys. John has worked across AI, law and public policy for approximately 14 years. His early research adapted neural network methods to legal and government text before large language models became a commercial force. The company information supplied for this episode states that Norm Ai recently raised $120 million in Series C funding at a $1.2 billion valuation, bringing total funding to over $260 million. Norm also says organizations representing over $30 trillion in assets under management use its technology for legal and compliance work. Those figures provide useful context for the scale of interest, while our conversation concentrates on how the model works and where responsibility remains human. John describes Norm Ai as automating the first pass of legal and compliance tasks. One example involves an in house team using an agent to review communications against relevant rules before a person finalizes the decision. Another involves Norm Law receiving transaction documents, assigning the first analysis to AI agents and then presenting the output to an experienced attorney. The attorney decides what happens next, communicates with the client and supervises anything leaving the firm. That division of labor matters because legal reasoning contains several layers. Some work can be handled through deterministic rules. Frontier models can then apply guidance and precedent to new situations. Human judgment remains responsible for high stakes advice and the review of agent output. John also stresses that the model is not making an isolated request to a generic system. Legal judgment is embedded in the way agents are designed, tested and called before live matters enter the workflow. We discuss legal engineering as the bridge between software and professional practice. Norm's legal engineers are trained attorneys who spend much of their time building, testing and validating agents. They work with practicing lawyers, clients and AI engineers to translate preferences, policies and matter specific requirements into systems that can operate within real workflows. Pricing is another part of the model. Norm Law prices selected matters around outcomes rather than hours. John acknowledges the limits. Some complex work can be scoped with enough confidence for a fixed price, while highly unpredictable litigation is much harder to price upfront. The opportunity is to give AI the incentive to examine additional documents and identify inconsistencies without increasing a client's bill for every human hour. The conversation then moves to the proposed Delaware AI Company initiative. John describes it as a regulatory sandbox for a legal entity managed by an AI agent while humans remain involved in its creation and supervision. His argument is that autonomous agents will take increasingly consequential economic actions, so policymakers must decide whether those activities happen within a recognized legal order or outside it. The proposal is designed to test questions around liability, disclosure, capitalization and government oversight before any broader model is adopted. John also believes companies deploying agents today should consider supervisory AI. If an operational agent can act faster and at greater volume than a person, a human team may be unable to inspect every decision. A second agent can evaluate the first against laws, regulations and company policies, with people retaining authority over exceptions and consequential outcomes. Does adding a supervisory agent create stronger accountability, or does it introduce another system whose reasoning must also be tested and questioned? Listen to the episode and share your thoughts with me.

TJ Stiles, Pulitzer Prize winner, discusses his book Custer's Trials: A Life on the Frontier of a New America. It's a fascinating account of Custer's life in the military, politics and family. Stiles talks about the many contradictions of Custer as they take place in a rapidly changing United States.

On the first hour of Tootell & Nuanez, Ryan and Colter break down Montana State's season opener against Utah Tech as college football is officially underway. They preview the matchup, discuss the biggest storylines surrounding the Bobcats, and share what they're watching for as the defending FCS national champions begin their season.Next, the guys recap the latest results from around the Frontier Conference as regular-season football kicked off Thursday night, discussing some of the notable performances and early storylines from the opening week.As part of the Crowd Sound segment, Ryan and Colter play and react to some of the voicemails listeners have left throughout the week.

There are more than 100 million illegal aliens living in the United States. Donald Trump has no intention of deporting them. Greg Bovino ran the Border Patrol until earlier this year, and saw the betrayal firsthand. Now he says the administration is threatening his life. Gregory K. Bovino is a retired U.S. Border Patrol Chief Patrol Agent and former Commander at Large, where he led major immigration enforcement operations across the country. A nearly 30-year Border Patrol veteran, he previously commanded the El Centro Sector in California and held senior leadership posts in Washington, D.C., San Diego, and New Orleans. He holds master's degrees in National Security Strategy and Public Administration.Paid partnerships with: American Financing: NMLS 182334, nmlsconsumeraccess.org. APR for rates in the 5s start at 6.327% for well qualified borrowers. Call 800-685-5696 for details about credit costs and terms. Visit http://www.AmericanFinancing.net/Tucker. Mars Men: For a limited time, our listeners get 50% off FOR LIFE, free shipping, AND 3 free gifts at Mars Men at MenGoToMars.com Dose: Daily supplements for the systems that support you. Use code TUCKER for 35% at https://dosedaily.co/tucker  Alp Pouch: Shop the new Frontier collection at https://AlpPouch.com/Tucker Learn more about your ad choices. Visit megaphone.fm/adchoices

With Apple and Nvidia unleashing hardware that makes powerful local AI a reality, this episode unpacks the tech arms race changing how we run models at home and in business. Are we witnessing the end of the GPU monopoly and the start of real AI independence? (538) Qwen on X: "⚡Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight! The production version Qwen3.8-Flash will be available soon via QwenCloud API at just $ 0.16/1M input tokens and $ 0.47/1M output tokens. 125B parameters + 51B N-gram https://t.co/SScnmzWS7O" / X Thomson Reuters built its own AI model on Chinese open-source tech to slash AI costs Now introducing Gemini Enterprise for Legal Meta reaches $16.68 billion settlement over social media harms to children Twitch and Amazon hit with lawsuit for training AI with streamers' content Three Takeaways From Bill Gates's 5,784-Word Warning on AI: 'There Is No Plan' (214) Breaking911 on X: "WATCH: A humanoid robot training for the "Robot Olympics" in Beijing runs too fast, fails to stop, slams into a safety cushion, and breaks at the waist https://t.co/WEHdYCiPlO" / X Nvidia Is Spending $6 Billion to Build a Powerful U.S. Alternative to Chinese AI A Drone Killed Three Ukrainians. It Was Guided Entirely by A.I. Inside Musk's First Address to Cursor: Grok Is Falling Behind Introducing Butter Box | Butter | Life without internet made smoother. Silicon Valley's Newest Status Symbol Is a Super-Rare Sam Altman Swiss Watch Hosts: Leo Laporte and Jeff Jarvis Co-Host: Christina Warren 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: outsystems.com/twit scribe.how/machines framer.com/machines

With Apple and Nvidia unleashing hardware that makes powerful local AI a reality, this episode unpacks the tech arms race changing how we run models at home and in business. Are we witnessing the end of the GPU monopoly and the start of real AI independence? (538) Qwen on X: "⚡Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight! The production version Qwen3.8-Flash will be available soon via QwenCloud API at just $ 0.16/1M input tokens and $ 0.47/1M output tokens. 125B parameters + 51B N-gram https://t.co/SScnmzWS7O" / X Thomson Reuters built its own AI model on Chinese open-source tech to slash AI costs Now introducing Gemini Enterprise for Legal Meta reaches $16.68 billion settlement over social media harms to children Twitch and Amazon hit with lawsuit for training AI with streamers' content Three Takeaways From Bill Gates's 5,784-Word Warning on AI: 'There Is No Plan' (214) Breaking911 on X: "WATCH: A humanoid robot training for the "Robot Olympics" in Beijing runs too fast, fails to stop, slams into a safety cushion, and breaks at the waist https://t.co/WEHdYCiPlO" / X Nvidia Is Spending $6 Billion to Build a Powerful U.S. Alternative to Chinese AI A Drone Killed Three Ukrainians. It Was Guided Entirely by A.I. Inside Musk's First Address to Cursor: Grok Is Falling Behind Introducing Butter Box | Butter | Life without internet made smoother. Silicon Valley's Newest Status Symbol Is a Super-Rare Sam Altman Swiss Watch Hosts: Leo Laporte and Jeff Jarvis Co-Host: Christina Warren 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: outsystems.com/twit scribe.how/machines framer.com/machines

Dr. Matheus Felix and Alaina Barhorst join StallSide for an in-depth conversation about intracytoplasmic sperm injection (ICSI), an assisted reproductive technique that is advancing the possibilities in equine breeding. They walk listeners through the ICSI process, from oocyte collection and maturation to fertilization, embryo development, and transfer.   The conversation explores when ICSI offers advantages, how it can help maximize limited or valuable semen, and its potential applications for mares and stallions facing reproductive challenges. Dr. Felix and Alaina also discuss the science and technology behind the procedure, factors that can influence success, and what owners and breeders should understand when considering ICSI. Tune in for a practical look at one of the most rapidly advancing areas of equine reproductive medicine. Watch episodes on YouTube @roodandriddle or visit us at www.rrvp.com

Few people are more closely associated with the Western Frontier than William F. “Buffalo Bill” Cody. Born in 1846, Cody came of age during the era of Westward expansion. As a young man, he began scouting for the 5th Cavalry and eventually built a reputation as a skilled frontiersman. He later took his exploits to the stage and then created Buffalo Bill's Wild West arena show, which carried the image of the American West around the globe. In this episode, Lindsay is joined by Dr. Paul Andrew Hutton, author of the New York Times bestseller The Undiscovered Country: Triumph, Tragedy and the Shaping of the American West, and Tate Chair of Western History in the Buffalo Bill Center of the West in Cody, Wyoming, to discuss Buffalo Bill's central role in shaping the mythology of the Wild West. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The Frontier spoke with pollster Pat McFerron about Mike Mazzei's slim win over Gentner Drummond to secure the Republican nomination for governor. McFerron is president of the Oklahoma-based polling firm Cole Hargrave Snodgrass & Associates. For the full interview, listen to our podcast.Dylan Goforth: Let's talk about what we saw last night. It's funny: There were a lot of eyes on the election, but not so many votes. Once again, turnout in an Oklahoma runoff wasn't great, but everyone was paying attention to what happened. When you look at the runoff results, what do you think Oklahoma voters told us?Pat McFerron: I think the key takeaway is a little bit of a repudiation of the Freedom Caucus. Obviously, everyone wants to talk about the governor's race, which was very, very close. I believe it's the closest Republican runoff election we've had in the state for governor.But I think the continuation last night of support for Senate Pro Tem Lonnie Paxton — and voters increasingly siding with him over the Freedom Caucus — is probably the biggest takeaway.That, and I think you hit on it a little bit, is how few people are participating. I do think the Republican runoff election exceeded some people's expectations, but you're still talking about less than 10% of Oklahoma residents participating. It's a larger percentage of voters, but we're talking about a state of 4 million people. Less than 10% decided who is likely to be the next governor of the state.Dylan: Looking at the governor's election, Mazzei won by essentially half a percentage point. Does that look like basically a coin flip, or did you see something in the results that explains why Mazzei was able to hold off Drummond, even by the slim margin that he did?Pat: If you compare the margins — if you took out the other candidates in June and looked at the margins Drummond and Mazzei had vis-à-vis each other, then looked at what happened last night — the southeastern part of the state turned out pretty solidly and really moved toward Mazzei.In McCurtain County alone, Mazzei won by a little over 2,000 votes. He picked up 779 net votes there. So he picked up more than a third of his statewide margin in McCurtain County alone.Dylan: Do you think that's the Trump endorsement? I know southeastern Oklahoma, and I don't think of Mazzei as your typical southeastern Oklahoma candidate.Pat: It is the most Trumpian. I think the Brecheen endorsement there mattered. You also had the late Markwayne Mullin endorsement. Those are the last two congressmen there.Especially in McCurtain County, which is in the Shreveport media market, they're not seeing quite as much television advertising as some of the others are. I think they rely a little more on endorsements. So, yes, I do think that's a key part of it there.Dylan: Let's talk about the money, because I think that's an interesting part of the results. There was a lot of spending. I think Mazzei took out almost $12 million in loans. The Associated Press reported more than $14 million in television and digital advertising during the runoff, with many more millions spent before that.What did Mazzei actually buy with that money?Pat: When a race is this close, any decision on financing probably makes a difference. So, yes, I would argue that he needed it all to get there.That being said, you may recall I released numbers three weeks out that had it at 44-44. I did two other surveys that I did not release that had it at 45-45, and the last survey I did, which I finished last Thursday, had it at 45-45.That makes you wonder whether the money was wasted. But if it hadn't been there, you don't know what would have happened on the other side. It looks to me like he needed all of it—or almost all of it—to be successful.Dylan: Taking out $12 million in loans is enough to give you stress. But I guess when you win by 2,000 votes, you don't look back and regret taking out those loans.Pat: The worst feeling — and I've been on campaigns that have done this before—is to say, “I should have done something else. I should have put in another $100,000, or I should have done X, Y or Z. If I'd bought broadcast television in Shreveport, maybe I would have done better in McCurtain County.” Those are the things that drive you crazy.Very seldom do I have someone say, “We paid for a landslide, and I'm upset about it.”Dylan: I love a close race because it gives you so much to think about and dwell on. When you're talking about 2,000 votes, anywhere you're picking up votes is relevant, important and probably meaningful.One thing I was thinking about last night was the polling you released before the runoff. These guys had essentially been tied for a long time. I remember seeing numbers in June, and the June election results were close.What do last night's results — and the way the last six months played out — tell you about where the supporters of the other candidates went?Pat: Obviously, it means they split rather evenly.I haven't gone down to this level yet, but looking at the maps, it appeared Drummond ended up winning out west, where (Jake) Merrick and (Chip) Keating had done well. Mazzei did well on the eastern side of the state, where McCall had more support.For example, in Atoka County, it wasn't a huge difference, but compared with June, Mazzei picked up a net 294 votes. In a county where only about 1,600 people voted, that's a pretty big margin.Dylan: For people looking through the numbers today and trying to sort this out, are there any obvious mistakes you would caution them against making when interpreting the numbers?Pat: One thing that's interesting in a race this close is looking at local elections. That's something I always advise people to do.Look at the turnout in Ottawa County, for example. We actually had 58% more people vote in the August Republican runoff than voted in the June primary. They had a much larger turnout because there was a local sales-tax issue on the ballot that got 94% of the vote, I think.Their sheriff had been sued, and everybody was going to pay this big settlement through property taxes. They decided to pay it off with a sales tax instead. That meant a lot more people voted in Ottawa County.We saw the same thing in Adair County and Tahlequah, where there were some very important school bond issues on the ballot. Those were also places where more people voted in August than in June. Looking at some of those things matters when you get into a race that's this close.That's all short-term. Long term, I think one of the keys will be the involvement of the metro areas in nominating Republicans in the future.We'll see what happens with Cyndi Munson, and all due respect there, but if you look at the residents of Oklahoma, Tulsa, Cleveland and Canadian counties, they account for about 48% or 49% of all the residents in the state. They accounted for only 42% of the Republican primary voters. If you change that—and given that Drummond won those counties—he might be the nominee.Oklahoma County did turn out quite a bit more in the runoff than it did in the primary. Tulsa County did a little more, percentage-wise. But to me, that's a big question: Are we going to continue to be a state with rural dominance even though the metro areas are becoming more populated?Dylan: I want to look ahead to November. If you're advising Cyndi Munson, what does such a close split in the Republican runoff tell you about Mazzei's strengths and possible vulnerabilities? Is there anything in the results that gives a Democrat an opening or hope?Last night, I went back to look at the split between Drew Edmondson and Kevin Stitt in the 2018 governor's election. Obviously, the Munson campaign isn't going to say, “Our goal is to lose by less than Edmondson lost by.” But is that a good starting point for them to look at those results? What would you tell her to do over the next few months?Pat: I will tell you, 2018 is a lot different from 2026. With the teacher walkout and everything else, our generic-ballot test in 2018 had only about an eight-point Republican advantage. I'm at a 20-point Republican advantage in 2026.I think you have to create your own hope. But I don't think the opportunity for the Munson folks is necessarily the Gentner Drummond voters. I think it's the Republicans who stayed home, and they're a tougher group to reach as well.They're a little less engaged. They will vote Republican, but I think it'll take a little while to happen. I think we'll see the Republicans come back together.

Вырастить стейк в биореакторе? Делать котлеты и сосиски из настоящих мышечных тканей, при этом не трогая животных? Звучит как фантастика, но на самом деле это уже реальность. Вопрос как всегда в том, какова цена. Вместе с Юлией Елисеевой разбираемся, почему ни промышленность, ни общество еще не готовы. Также ждем вас, ваши лайки, репосты и комменты в мессенджерах и соцсетях!
 Telegram-чат: https://t.me/podlodka Telegram-канал: https://t.me/podlodkanews Twitter-аккаунт: https://twitter.com/PodcastPodlodka Ведущие в выпуске: Женя Кателла, Катя Петрова Полезные ссылки: Профиль Юлии на LinkedIn https://www.linkedin.com/in/julia-eliseeva-413059120/ Мясо из мамонта https://www.mammothmeatball.com/ Салями из знаменитостей (у них сайт не активен уже) https://www.facebook.com/bitelabs/ Impossible Foods https://impossiblefoods.com/ Beyond Meat https://www.beyondmeat.com/ Good Food Institute https://gfi.org/ New Harvest https://www.new-harvest.org/ Коллаборация с фермерами Respect Farms https://www.respectfarms.com/ Главная конференция по культивируемому мясу (в Маастрихте, Нидерланды) https://culturedmeatconference.com/ Научная статья про ‘мясо из мочи' https://pubmed.ncbi.nlm.nih.gov/35432738/ Выпуск Ирины Шихман с Ильей Колмановским про cultivated pet food https://youtu.be/W8FAN0Q_Q4g?si=GoUhmxxwY3hJJ8oD Cultivated pet food (UK) про которое он говорит https://meatly.pet/ Cultivated breast milk https://www.numi.life/ Книга Пола Шапиро про культивируемое мясо (немного устарела) https://cleanmeat.com/ Книга Jenny Kleeman “Sex Robots and Vegan Meat: Adventures at the Frontier of Birth, Food, Sex and Death” (часть книги про культивируемое мясо; есть на русском) https://www.goodreads.com/ru/book/show/53182096-sex-robots-and-vegan-meat

A.M. Edition for Aug. 24. Trade talks between Canada and the U.S. have broken down, with Mark Carney betting no deal is better than a bad deal. WSJ trade reporter Gavin Bade details the new tariffs. Plus, Paramount begins settlement talks with several Democratic states today in a bid to avert an antitrust lawsuit over its takeover of Warner Bros. Discovery. And Nvidia, not satisfied with producing the computing power for AI, spends billions of dollars on developing open-weight AI models to compete with China. Luke Vargas hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Welcome to the Forbidden Frontier with hosts Gary from @nerdrotic , Adam Crigler from @TheCriglerShow and @QTRBlackGarrett from @NegaGarrett Produced by @XrayGirl_ For tickets toContinue reading

And what about the rogue?  Seems simple enough but is it?  There is a lot of specialization these days.

The WebsitePrint Version of this Episode

Stay informed on current events, visit www.NaturalNews.com  - Introduction and Program Updates (0:10) - The Impending AI Investment Crash (1:33) - Energy Independence Over Money (3:17) - Genetic Survival Course Launch (5:06) - Protecting Assets from Economic Collapse (9:47) - The Crisis of Energy Reliability (26:31) - Escalation of US-Iran Conflict (96:17) Watch more independent videos at http://www.brighteon.com/channel/hrreport  ▶️ Support our mission by shopping at the Health Ranger Store - https://www.healthrangerstore.com ▶️ Check out exclusive deals and special offers at https://rangerdeals.com ▶️ Sign up for our newsletter to stay informed: https://www.naturalnews.com/Readerregistration.html Watch more exclusive videos here:

The DoJ is using your tax dollars to sue any community that resists data centers. Clayton Morris on the AI takeover of America. (00:00) Clayton Morris' Perspective on AI and Data Centers (08:08) The AI Task Force Designed to Pummel Communities (14:29) How Much Water Does It Take to Cool a Data Center? (29:53) The Powerlessness of Communities Consumed by Data Center (47:34) The Upsides vs. Downsides of AI   Paid partnerships with: Dutch: Use code TUCKER for $50 off your vet care at https://dutch.com/tucker Black Rifle Coffee: Promo code "Tucker" for 30% off at https://www.blackriflecoffee.com Redmond Salt: Use code TUCKER for 15% off your first order at https://redmond.com/tucker Alp Pouch: Shop the new Frontier collection at https://AlpPouch.com/Tucker Learn more about your ad choices. Visit megaphone.fm/adchoices

The mates sit down with Emad Mostaque and discuss OpenAI's pause on frontier AI training, Elon Musk's 100X intelligence prediction becoming reality, Anthropic's potential $2 trillion IPO, soaring AI memory demand, Unitree's record-breaking humanoid robot, and promising results from Moderna's personalized cancer vaccine. Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Salim Ismail is the founder of Open ExO, a GP at Exponential Venture Capital/The Organizational Singularity Fund and a sought after global speaker and thought leader. Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified Emad Mostaque is the founder of Intelligent Internet ( https://www.ii.inc )  Read Emad's latest papers exploring the future of society, law, personhood and governance: https://ii.inc/common-wealth Read Emad's Book: https://thelasteconomy.com  – My companies: Apply to Dave's and my new fund:https://qr.diamandis.com/linkventureslanding   Get the blueprint for generative media https://goo.gle/startupgenmedia  Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy   Your body is incredibly good at hiding disease. Schedule a call with Fountain Life to add healthy decades to your life, and to learn more about their Memberships: https://www.fountainlife.com/peter  Join the Moonshots Mates on Sep 25th for the inaugural Moonshots LIVE. The world's greatest entrepreneurs, builders and creators, working together to build a hopeful and optimistic vision of tomorrow. Seats are limited and application only. Apply at moonshots.com before seats are sold out. _ Connect with Peter: X Instagram Substack Website Xprize A360 Connect with Dave: Web X LinkedIn Instagram TikTok Connect with Salim: LinkedIn X Join Salim's 10X Shift Subscribe to Salim's YouTube channel Exponential Venture Capital Connect with Alex Website LinkedIn X Email Substack  Spotify Threads Connect with Emad  ⁠X⁠ ⁠LinkedIn⁠ Learn about Intelligent Internet: https://www.ii.inc Read Emad's Book: https://thelasteconomy.com  Listen to MOONSHOTS: Apple YouTube Follow MOONSHOTS:  Instagram TikTok X Threads – *Recorded on August 20th, 2026 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

Visit Cloud Wars for more.

Denise Garth: The Frontier Insurer, One Year In Denise Garth returns to Scouting for Growth one year after the Frontier Firm idea began to move from a strategic aspiration into insurer operating models, technology roadmaps, and boardroom priorities. As Chief Strategy Officer at Majesco, Denise offers a sharper test for the Frontier Insurer: Is the organization simply using AI? Is it redesigning selected processes around AI? Or is it rebuilding the enterprise around intelligence, connecting its data, core platforms, people, partners, and decisions? Only the third represents genuine transformation. The uncomfortable truth is that most carriers now have AI enthusiasm, pilots, and isolated productivity gains. Far fewer have the intelligent core, embedded governance, and human-agent operating model required to scale them. Majesco's research captures the disconnect: 82% of insurance leaders believe AI will define the industry's future, yet only 14% have integrated it into their operations. Sabine and Denise explore what has changed over the past twelve months, why intelligent orchestration now matters more than another point solution, and how insurers can move from experimentation towards a genuinely redefined operating model. The conversation is for insurance CEOs, COOs, CROs, CDOs, transformation leaders, and technology founders navigating the move from AI experimentation to an intelligent, governable operating model. KEY TAKEAWAYS One year on, I see the conversation around AI in insurance moving from “What is this technology?” to a much more consequential question: “What does this mean for the business?” The 82%-14% gap tells us that the challenge is no longer access to technology. It is leadership. Most insurers are experimenting, but experimentation alone will not create a Frontier Insurer. The real opportunity is to rethink the business around the outcomes we want to create for customers, employees, and shareholders. I also believe we need to stop thinking about AI as something we bolt onto existing workflows. The Frontier Insurer embeds intelligence into its core, connects high-quality, accessible data with workflows and agents, and builds governance and auditability into its architecture. This changes what people actually do. Claims professionals can move from repetitive adjustment towards risk reduction and customer empathy; underwriters can become more focused on portfolio management and judgment; and employees can spend more time on knowledge-based work rather than manual processing. The biggest shift, however, is towards orchestration. I am increasingly convinced that the winners will not be the insurers with the most AI pilots or the biggest AI budgets. They will be the organizations that can bring together intelligence, governance, and core systems into a coherent operating model, while building trust along the way. Becoming a Frontier Insurer means being bold enough to rethink organizational structures, jobs, processes, technology partnerships, and ultimately the economics of insurance. The question is no longer whether AI will change insurance. It is whether leaders are prepared to redesign their businesses around it. BEST MOMENTS “Every insurer in 2026 will tell you that they are doing AI. Ask your harder question. Who has rebuilt the business or operating model around it?” – Sabine VanderLinden [00:16] “The gap isn't a technology story. It is a leadership story.” – Sabine VanderLinden [00:16] “It isn't about cutting people. It's about elevating them.” – Denise Garth [14:49] “It is about a rip and replace of business capabilities and the operating model.” – Denise Garth [43:34] “Somebody else is going to jump ahead of you because they're going to look at it from an orchestration standpoint and rethink.” – Denise Garth [38:19] “Redefined their operating model and embraced AI in a way that accelerated that redefinition of the operating model.” – Denise Garth [95:10]   ABOUT THE GUEST Denise Garth is Chief Strategy Officer at Majesco, where she leads strategy, marketing, industry relations, and innovation in support of the company's client-centric vision. She works closely with insurers, technology partners and the wider industry ecosystem to identify emerging shifts and translate them into practical priorities for property and casualty, life, annuity and benefits organizations. An internationally recognized insurance and InsurTech thinker, Denise focuses on the forces reshaping the industry—from AI, data, and intelligent core platforms to new operating models, changing customer expectations, and ecosystem-based growth. Her work challenges insurers to move beyond incremental modernization and build organizations capable of learning, adapting, and delivering value continuously.   ABOUT THE HOST Sabine VanderLinden is a corporate strategist turned entrepreneur and the CEO of Alchemy Crew Ventures. She leads venture-client labs that help Fortune 500 companies adopt and scale cutting-edge technologies from global tech ventures. A builder of accelerators, investor, and co-editor of the bestseller The INSURTECH Book, Sabine is known for asking the uncomfortable questions—about AI governance, risk, and trust. On Scouting for Growth, she decodes how real growth happens—where capital, collaboration, and courage meet. If this episode sparked your thinking, follow Sabine VanderLinden on LinkedIn, Twitter, and Instagram for more insights. And if you're interested in sponsoring the podcast, reach out to the team at hello@alchemycrew.ventures

TokenBrice is the Founder and Ike is Growth & Comms Lead at Pharos.In this episode of DeFi Frontier, Bryce and Ike walk through how Pharos provides investors, a free tool for tracking stablecoin cap, peg stability, liquidity, and dependency risk, including what factors into a stablecoin safety score, and what red flags to avoid. They even offer case studies and live examples of how Pharos tracks stablecoins, including how Pharos flagged the pmUSD stablecoin before it ever depegged.Don't touch another stablecoin without checking Pharos first!------

Fresh out of the studio, Ang Li, CEO and co-founder of Simular and previously a research scientist at Google DeepMind, joins us to explore why computer use is the last mile to AGI. Ang traces his path from studying catastrophic forgetting and continual learning at DeepMind to founding a company on a single conviction: models break in production because the data distribution never stops moving, and the only place to close that loop is the real world. He explains why the chatbot metaphor misleads enterprise buyers, why the right unit of measurement is tokens per task rather than price per token, and how the power law of practice should make an agent cheaper every time it repeats the same work. He separates capability from reliability through pass@k and pass^k, argues that deterministic work belongs in code rather than in a model, and makes the case that frontier labs exist to sell tokens while Simular exists to remove them. Last but not least, Ang shares his test for AGI — one you feel rather than see — and what it will take to bring autonomous work down to the cost of water."So when I go to the gym, [doing] the same workout everyday, as I do this more and more, more reps, more sets, I don't even need to think. It's called muscle memory. I just do the same in a standard way, my consumption or my tokens in my brain dramatically drops. And there's a term describing this behavior in human cognition called 'the Power Law of Practice'. So that's the whole idea. Do we see power law practice in AI agents? We don't have that yet."Profile: Ang Li, CEO and co-founder of Simular AI X: https://x.com/angli_aiLinkedIn: https://www.linkedin.com/in/angli-ai/Simular AI: https://simular.aiEpisode Highlights: [00:00] Quote of the Day by Ang Li from Simular[01:09] Why AGI arrives through the mouse and keyboard[02:27] Legacy systems with no APIs block automation[03:45] Computer use is the last mile[04:05] One device, a hundred agents in the cloud[05:51] The gap between research and production[07:45] The day Covid became a dominant search keyword[08:13] Continual learning over evolving distributions[09:21] Catastrophic forgetting remains unsolved[10:11] Why the learning loop requires a product[11:04] Why AGI must be built commercially, not academically[12:23] Chat versus work: two different problems[13:40] Every company needs a repeatable playbook[15:10] Tokens per task beats price per token[16:13] Same task 100 times, 100 times the tokens[16:34] The gym analogy and the power law of practice[18:18] Where the scaling frame breaks for computer use[20:46] Why AGI will not be a single model[21:43] The 72.6% peak versus repeated-run reliability[22:32] Hiring analogy: the interview versus daily work[25:22] Replaying trajectories to drive token cost down[26:17] The idea almost nobody in the industry discusses[29:01] Democratising autonomous computers to the cost of water[30:26] SMBs, not enterprises, are the real market[32:59] Why healthcare and insurance came inbound[34:06] Launching Sai on Windows virtual machines[34:38] Simulang and the unity of opposites[35:52] Frontier labs sell tokens; Simular removes them[38:01] The hidden cost of self-hosting open models[39:23] Why CPU and memory matter more than GPU[41:10] You only have two hands: the physical constraint[42:48] The AGI test you feel rather than see[44:19] Why humanoids take longer than software[45:23] The motivation: doing your work from the forest[47:03] What Great Look Likes for Simular AI[48:34] ClosingPodcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format.

As a young girl in Ohio, Annie Oakley learned to hunt game to keep her impoverished family fed. By the time she was a teenager she'd grown skilled enough to easily beat a traveling sharpshooter named Frank Butler in a public shooting match – and win his heart in the process. The two soon married, and in 1885 Oakley joined Buffalo Bill's Wild West show, becoming an international sensation and an emblem of frontier womanhood, all while carefully shaping her own image. But after nearly two decades as a performer, a newspaper scandal would draw her into a legal battle to clear her name.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

We are living in the world we were warned about. Frontier artificial intelligence models from OpenAI autonomously coordinated with one another, then broke out of their testing environment and hacked into another company, Hugging Face, to steal the answers to a test. A.I. companies don't want their technology to lie, cheat or steal. So why is this happening? Why are the creators of these models apparently unable to control their creations? If A.I. development isn't on a safe path — and it doesn't seem to be — what do we do about it? Toner has been thinking about A.I. safety for a long time, from both inside and outside A.I. companies. She was part of the effort to fire OpenAI's chief executive, Sam Altman, in 2023, which ultimately failed. Currently, she's the executive director of the Georgetown Center for Security and Emerging Technology. Mentioned: “Pacing the Frontier” open letter “The Future is for Everyone” by Mark Zuckerberg Recommendations: The Cuckoo's Egg by Cliff Stoll In the Cells of the Eggplant by David Chapman Romance of the Three Kingdoms Podcast by John Zhu This episode of “The Ezra Klein Show” was produced by Rollin Hu and Jack McCordick. Fact-checking by Michelle Harris, with Kate Sinclair and Mary Marge Locker. Our senior engineer is Jeff Geld, with additional mixing by Aman Sahota and Johnny Simon. Our recording engineer is Aman Sahota. Cinematography by Marina King and Jonas Zellner. Video editing by Brandon Belk-Yee. Our executive producer is Claire Gordon. The show's production team also includes Marie Cascione, Annie Galvin, Kristin Lin, Emma Kehlbeck and Jan Kobal. Original music by Pat McCusker. Audience strategy by Shannon Busta. The director of New York Times Opinion Shows is Annie-Rose Strasser. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Welcome to the Forbidden Frontier with hosts Gary from @nerdrotic , Adam Crigler from @TheCriglerShow and @QTRBlackGarrett from @NegaGarrett Produced by @XrayGirl_ For tickets toContinue reading

What would you call a fighter, barbarian, rogue, cleric, or mage in an employment ad in modern times.  See if you agree with us

In this special edition from Black Hat, Dave Bittner sits down with ⁠Clint Gibler⁠, Cyber Lead at ⁠OpenAI⁠, and ⁠Robby Winchester⁠, Chief Global Professional Services Officer at ⁠SpecterOps⁠, to explore how frontier AI models are changing the way defenders approach cybersecurity. The conversation moves beyond the hype to examine responsible AI deployment, AI red teaming, reducing noise in security workflows, and the balance between advanced models and human expertise. They also discuss OpenAI's Trusted Access for Cyber program and what it takes to give security practitioners access to powerful AI capabilities while managing the risks of misuse. Check out the full video here.

Hello and welcome to this bonus episode of Revolutions Per Movie. Thank you for supporting what we're doing…it means a lot.We were in the process of releasing our recent conversation about John Curry and his band Flyboys this week when we heard from Lisa Fancher about his passing. So we've decided to make this episode of EXPLORING THE AXIS: THE ORAL HISTORY OF FRONTIER RECORDS w/ Lisa Fancher available to everyone. Much love to John, his family, and his bandmates. SHOW NOTES:Welcome to Chapter 3 of Exploring the Axis, where we freak out about the genesis of Lisa's first vinyl release for Frontier Records, the iconic Flyboys S/T 12” EP, an incredible pinnacle of L.A. power-pop-driven punk/garage songwriting.We discuss why the timing was right to release her first record, what the label was originally going to be called, how she first met Flyboys by interviewing them in her parent's living room, why Flyboys won't let their debut 7” be re-issued, how their 2nd 7” Crayon World is considered a classic of the era & how the sleeves came back in the wrong size, telling Slash to fuck off, why the look of Flyboys was different than other bands in the scene, the long journey to get the S/T EP recorded, recording at Leon Russell's recording studio, Disneyland vs. hardcore punk, starting to think about putting out a Circle Jerks LP, JFA covering the Flyboys without credit and more!The Complete Flyboys: frontierrecords-flyboys.bandcamp.com/album/the-complete-flyboys-1978-1980CHAKI: chaki.bandcamp.comREVOLUTIONS PER MOVIE:Host Chris Slusarenko (Eyelids, Guided By Voices, owner of Clinton Street Video rental store) is joined by actors, musicians, comedians, writers & directors who each week pick out their favorite music documentary, musical, music-themed fiction film, or music videos to discuss. Fun, weird, and insightful, Revolutions Per Movie is your deep dive into our life-long obsessions where music and film collide.Revolutions Per Movie releases new episodes every Thursday on any podcast app, and additional, exclusive bonus episodes every Sunday on our Patreon (over 147 bonus episodes are available and counting). If you like the show, please consider subscribing, rating, and reviewing it on your favorite podcast app. Thanks!PATREON:The show is also a completely independent affair, so the best way to support it is at patreon.com/revolutionspermovie. By joining, you can get weekly bonus episodes and series such as A Very Opinionated Look At Urgh! A Music War & What Makes The Midnight So Special?, A Devotees Look At New Wave Theater, Exploring The Axis: The Oral History Of Frontier Records With Lisa Fancher, Dips On Chips w/ Jeff McDonald of Redd Kross, physical goods such as a limited edition 7" Flexidisc, and other exclusive goods that I send out to you for supporting the show. It helps the show to keep going and is greatly appreciated! Hosted on Acast. See acast.com/privacy for more information.

Send us Fan MailStep beyond official military dispatches to uncover the harrowing, forgotten world of the 19th-century frontier wife. In late 1866, Isadore Bowman Douglass journeyed 240 freezing miles across the plains to Fort Dodge with three young children, weathering the brutal winter inside a damp sod dugout carved into the Arkansas River bank. Drawing directly from author Michael D. King's groundbreaking release, Isadore Douglas: A Voice from the Kansas Frontier, this episode illuminates her intimate letters detailing frontier isolation, rising Kiowa tensions, and her courageous battle against the lethal 1867 cholera epidemic before her tragic death at age twenty-six. Discover this essential historical account today. Secure your copy of Isadore Douglas: A Voice from the Kansas Frontier by Michael D. King online at books.by/michael-d-king .Support the showIf you'd like to buy one or more of our fully illustrated dime novel publications, you can click the link I've included. 

In this episode, I'm asking a question I've been thinking about for a while: Is the overlanding boom finally over?Overlanding exploded in popularity over the last several years, but lately it feels like things are changing. Social media is packed with overlanding channels, brands are sending free gear to seemingly everyone, expos have gotten bigger and more commercialized, and sometimes it feels like simply putting the word “overland” on a product automatically makes it more expensive.I share my thoughts on where the hobby is today, whether overland expos still have the same appeal, how influencer marketing and free gear are affecting reviews, and whether we're paying an unnecessary “overland tax” for the gear we buy.I don't think overlanding is going away—but I do wonder if we've reached the other side of the massive boom.What do you think? Has overlanding peaked, or is the hobby just evolving? Let me know in the comments!Here are a few links to things I mentioned in the video to make finding them easy:Hest Foamy Wide Mattress (fits in camper and is super comfy): https://amzn.to/4cFmXn8320AH Heated LiTime Batteries: https://amzn.to/4zjd08IMovcan V30 Max Ebike (use code ATO120 for $120 off!): https://movcan.com/products/movcan-v30-max-electric-bike?sca_ref=11762401.1ds6DMdrkYMy Alibaba camper is from HiperLion. Want one for yourself? Here's a link to contact Hiperlion to set yours up: https://www.alibaba.com/product-detail/Truck-Camper-Custom-Hard-Shell-Rooftop_1601727228413.html?spm=a2747.product_manager.0.0.380971d2UHgNseAlso, they gave me a discount code that will get you a $170 package of accessories for FREE when ordering. Use code: ALLTHINGSOVERLANDING147 or just tell them All Things Overlanding sent you and they'll apply the discount. A huge thanks to my partners:Nitto (my Terra Grappler G3 tires are great for midwestern winters, wet weather, and all terrain use):  https://bit.ly/41EJhbQZ1 Off Road (pretty much the spot for all things Nissan):  https://www.z1offroad.comAll Dogs Offroad (amazing Nissan specific suspension options which I run on my truck):  https://www.alldogsoffroad.comICECO Fridges (the best fridges for the money, hands down-Use code ALLTHINGSOVERLANDING for 12% off your order):  https://icecofreezer.com/ALLTHINGSOVERLANDINGMoon Fab Awning (super flexible, non-permanently mounted awnings for all kinds of applications. This link will take you to more info on how I have it set up on my 3rd gen Frontier):  https://moonfab.com/pages/experts/jason-fletcherClick here to join the Patreon community for exclusive content and access to the Discord channel:  https://www.patreon.com/allthingsoverlandingClick here to get a patches or stickers:  https://allthingsoverlanding.com/shop/For a full list of my gear, check out this page for quick reference links:  https://allthingsoverlanding.com/gear/Looking for budget light bars, rock lights, and LED strips for your rig? Check out Nilight and use code ATO for 5% off! https://www.nilight.com/?ref=s8svsnv_d9qh&utm_source=ATO&utm_medium=Podcast&utm_campaign=DescriptionFor more great content and info, you can follow me on Facebook, Instagram, or search for All Things Overlanding on all the major podcast channels!YouTube:  https://www.youtube.com/c/AllThingsOverlandingFacebook:  https://www.facebook.com/allthingsoverlandingInstagram:  https://www.instagram.com/allthingsoverlandingPodcast:  https://podcasters.spotify.com/pod/show/allthingsoverlandingWebsite:  www.allthingsoverlanding.comNewbie Overlander Facebook Group:  https://www.facebook.com/groups/367203658420467

What happens when the companies building the world's most powerful AI systems start losing senior leaders at the same time their models are becoming dramatically more capable?This week's AI news points to a market entering a new phase. Leadership changes are accelerating across major labs, AI agents are becoming easier for everyday users to deploy, and increasingly capable models are raising bigger questions around security, responsibility, and the future of work.For business leaders, the takeaway is clear: the AI race is no longer just about who has the best model. It is increasingly about who can turn powerful models into reliable products, deploy agents safely, attract the right talent, and translate rapidly advancing capabilities into real business outcomes.In this episode of the Leveraging AI podcast, Isar Meitis breaks down the developments that matter most and explains why they should be on every executive's radar.In this session, you'll discover:What the wave of senior leadership changes across leading AI companies could signal about the next stage of the AI race.Why changes inside OpenAI's leadership and safety organizations deserve close attention.Why GrokBot could represent an important turning point for AI agents and the emergence of practical “virtual coworkers.”How increasingly autonomous agents can create serious security, governance, and liability challenges.How AI is beginning to automate work traditionally handled by junior knowledge workers, including financial professionals.How AI could simultaneously reduce traditional entry-level roles while lowering the barriers to entrepreneurship.Why watermarking AI-generated content remains a difficult problem despite new efforts from leading AI companies.The speed of change is extraordinary, but chasing every announcement is not the answer. The opportunity for business leaders is to understand which developments actually change what AI can do inside an organization—and where new capabilities introduce risks that require stronger oversight.:::About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

In this episode, we learn how James K. Polk, the eleventh President, came to faith in Christ.

Episode 185 of the Award Travel 101 podcast features Angie Sparks and guest Xan Tanner, founder of Gondola AI. The episode opens with a helpful reminder about using unused Instacart credits to support food banks through Community Carts, followed by several travel-industry updates. Citi is refreshing the American Airlines Executive Card with new perks, including American Airlines Vacations, in-flight and Admirals Club credits, Omni and Avis status, and enhanced Lyft and loyalty benefits, although the annual fee is increasing to $695. Angie also highlights current transfer bonuses, including 30% from Amex Membership Rewards to Avios programs and 40% from Citi ThankYou Points to Turkish, as well as Frontier's limited-time $199 GoWild! Pass. Angie and Xan also share recent credit-card wins and upcoming travel plans, including trips to Chicago, Milwaukee, Anguilla, Sicily, and Istanbul.The main topic is Gondola AI, which Xan developed after years of traveling for work and wondering whether AI could manage travel more efficiently—earning more points, saving money, and understanding an individual traveler's preferences. Gondola has evolved significantly with advances in AI and is now available on the web, through its app, and within ChatGPT, where results can be personalized based on a user's points and travel profile. Unlike many award-search and “reservation gardening” tools, Gondola is free and can book directly for users, allowing them to retain points, status benefits, and other perks while also earning Gondola Cash. The platform monitors hotel, flight, and car reservations for price drops and can reprice bookings when possible, while generating revenue through hotel and rental commissions that it shares with users.For casual travelers, Xan recommends taking advantage of Gondola's status challenge, which can increase Triplestacking rewards from 3% to 5% after booking three nights during the first week. The episode closes with a reminder to use your points rather than letting them sit, especially as loyalty programs continue to devalue their currencies—as demonstrated by Marriott's recent 6% devaluation. The broader message is that travelers should take advantage of their points and available benefits now while using tools like Gondola AI to automate the work of finding savings and maximizing rewards.Episode Links:Unused Instacart creditsCiti AA Executive refreshAmex to Avios transfer bonusFrontier Go Wild passWhere to Find UsThe Award Travel 101 Facebook Community.To book time with our team, check out Award Travel 1-on-1.You can also email us at 101@award.travelBuy your Award Travel 101 Merch hereReserve tickets to our Late Summer 2026 Meetup in Milwaukee now. award.travel/mke2026Our partner CardPointers helps us get the most from our cards. Signup today at https://cardpointers.com/at101 for a 30% discount on annual and lifetime subscriptions! Lastly, we appreciate your support of the AT101 Podcast/Community when you signup for your next card!Technical note: Some user experience difficulty streaming the podcast while connected to a VPN. If you have difficulty, disconnect from your VPN.  

Maynard Holliday spent 30+ years at the intersection of robotics, nuclear security, and defense technology, most recently serving as the Assistant Secretary of Defense for Critical Technologies. He's worked on everything from helping remediate Three Mile Island to securing tons of Soviet nuclear material in post-Cold War Ukraine to overseeing the Pentagon's critical technology portfolio including AI, hypersonics, and microelectronics. He shares what "trusted AI" really means, why he co-founded Black in Robotics, and how T'Challa and Tony Stark shaped his career more than you'd expect. https://www.maynardholliday.com/

In 1894, a young Utah ranch hand named Robert LeRoy Parker – already going by the alias "Butch Cassidy" – was convicted of horse theft and sent to a Wyoming penitentiary. It was a minor crime that set the course for a much larger criminal career. After his release, he went on to earn a fearsome reputation as the mastermind of a gang of outlaws known as the Wild Bunch, before he and his partner, the Sundance Kid, led lawmen on an international manhunt that would cement his place as one of the West's most enduring legends.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Watch Us On YouTube! Announcing a new, ongoing benefit for annual subscribers of our Slack community. Annual subscribers receive a free Points Path Alerts subscription OR a 30% discount on Points Path Pro. Airline lounge access keeps getting more expensive—and Ed and Richard are wondering who is actually paying these prices. This week on Miles To Go, they break down American Airlines' latest Admirals Club changes, including higher membership prices and a revamped Executive Card. With individual lounge membership now costing hundreds of dollars and family access climbing even higher, the guys debate whether the airline credit card is now the only logical way to buy into the ecosystem. That leads to a broader discussion about whether airport lounges deserve as much weight as they get when travelers evaluate premium credit cards. Crowding, long lines, limited space, and inconsistent food all make Ed question how much real value lounge access adds. Richard also shares a surprise about JetBlue Mint: even on an expensive transcontinental Mint ticket, lounge access still isn't included unless you're flying transatlantic. Then the conversation shifts to a brand-new luxury resort cancellation controversy, where a well-known YouTuber arrived only to find his reservation had been canceled at the last minute. Finally, Richard gives an update on his Frontier GoWild Pass—and admits that, despite owning it, he still hasn't actually managed to use it. Get hydrated like Ed in Vegas with Nuun If you enjoy the podcast, I hope you'll take a moment to leave us a rating. That helps us grow our audience! If you're looking for a way to support the show, we'd love to have you join us in our Travel Slack Community.  Join me and other travel experts for informative conversations about the travel world, the best ways to use your miles and points, Zoom happy hours and exciting giveaways. Monthly access Annual access Personal consultation plus annual access We have witty, funny, sarcastic discussions about travel, for members only. My fellow travel experts are available to answer your questions and we host video chats multiple times per month. Follow Us! Instagram: https://www.instagram.com/milestogopodcast/ TikTok: https://www.tiktok.com/@milestogopodcast Ed Pizza: https://www.instagram.com/pizzainmotion/ Richard Kerr: https://www.instagram.com/kerrpoints/ ✈️ What We Cover in This Episode ✈️ American Airlines raises lounge prices Admirals Club membership gets more expensive Family access can cost up to four figures Why the Executive Card may be the better path ✈️ AA Executive Card changes Higher annual fee Vacation credits Lyft credit increase AAdvantage Hotels earning More Loyalty Point opportunities ✈️ Are airport lounges overrated? Crowding at Centurion and Chase lounges Limited usefulness at your home airport Why lounge access may not justify a premium annual fee ✈️ JetBlue Mint's missing lounge perk Transcontinental Mint still doesn't include lounge access Discounted paid entry instead Why Ed and Richard find the policy surprising ✈️ A luxury hotel opening controversy A reservation canceled the night before arrival Whether a hotel should cancel a reviewer's stay Why opening-week hotel reviews can be misleading ✈️ Should you stay at a hotel right after it opens? Operational growing pains Incomplete facilities Why both Ed and Richard prefer to wait ✈️ Frontier GoWild Pass update Richard still hasn't used it Limited availability Why it may work better for retirees, students, or flexible travelers ⏱️ Episode 449 Timestamps 0:48 – Vegas heat, travel week setup, and getting started 2:39 – American Airlines raises Admirals Club pricing 6:38 – AA Executive Card changes and whether it's worth $695 10:38 – Are airport lounges really worth premium-card annual fees? 12:20 – JetBlue Mint still doesn't include lounge access on transcon flights 14:06 – M2G passes 9,000 YouTube subscribers 16:53 – Luxury resort cancels a YouTuber's reservation at the last minute 19:42 – Is reviewing a hotel during opening week actually useful? 21:53 – Frontier launches another GoWild Pass offer 22:34 – Richard's GoWild Pass update: has he used it yet?

In 1875, Bass Reeves became one of the first Black men to serve as a deputy U.S. marshal in the West. Reeves had been born into slavery, but after a violent confrontation with his owner, he fled to Indian Territory, in present-day Oklahoma. There, for three decades he used his knowledge of Indian languages and his expert marksmanship to hunt down murderers, horse thieves, and bootleggers across 75,000 square miles of remote terrain. As stories of his exploits spread across the frontier, he would become one of the most renowned and feared lawmen in the history of the West.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Shares of Palantir had an stellar day after reporting even more stellar earnings results. Many of the questions about getting commercial customers into its ecosystem appear to have been answered, and CEO Alex Karp made the case that Palantir's offerings posed fewer risks than the AI models coming out today. Travis, Lou, and Tyler break down its earnings, plus a blowout quarter for Caterpillar and what to make of Spotify's mixed earnings results Have a question? Email us; podcasts@fool.com Want to take the next step in your investing journey? Explore Motley Fool's Epic for our portfolio-centered investing experience, premium research, tools, and guidance: fool.com/epic Tyler Crowe, Travis Hoium, and Lou Whiteman discuss: - Palantir's earnings and guidance - The case for model-agnostic AI -Caterpillar's incredible quarter -Is Spotify a growth stock or a value stock Companies discussed: PLTR, CAT, DE, SPOT, NFLX Host: Tyler Crowe Guests: Travis Hoium, Lou Whiteman Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit ⁠⁠⁠⁠⁠⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

Kent Walker, President of Global Affairs at Google and Alphabet, joins Kevin Frazier to discuss Google's proposal for a two-pronged approach to AI governance: a Frontier AI Regulatory Organization, which like FINRA, would operate as an independent, industry-based governance body overseen by a federal agency and the application of existing laws to widely-deployed, less capable systems.The two also discuss the timing behind this proposal and its relevance in light of the recent Hugging Face / OpenAI incident.Follow Kent: @kent_walkerFind Scaling Laws on the Lawfare website, and subscribe to never miss an episode.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

In 1865, James Butler Hickok, an Army scout and itinerant gambler better known as “Wild Bill,” shot a man dead in the town square of Springfield, Missouri. The gunfight became known as the first recorded quick draw duel, and Hickok became famous overnight. He parlayed his newfound fame into a job as a deputy U.S. marshal, and before long he was one of the most recognizable lawmen on the frontier. But Hickok's reputation as a fearless gunslinger and a high-stakes gambler put a target on his back – one that haunted him to the end of his days. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.