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Angel Studios https://Angel.com/TODDStorm the theaters on July 4 and help make Young Washington the #1 movie in America. Join the Angel Guild today for $15/month and receive two free tickets to see Young Washington this Independence Day.Absolute Ministries https://AMgive.org/TODDYour gift helps people overcome addiction, find hope and purpose, and experience lasting change through a Christ-centered system of care. Together, we can support sustainable transformation that goes far beyond temporary sobriety. Alan's Soap https://AlansSoaps.com/Todd Honor John's memory and the legacy he created for Ian and Alan with Alan's Artisan Soaps “John's Favorites” bundle.  Get one bar of each of his favorites for only $28.99. Bulwark Capital https://KnowYourRiskPodcast.comBe confident in your portfolio with Bulwark! Schedule your free Know Your Risk Portfolio review. Go to KnowYourRiskPodcast.com today. Renue Healthcare https://Renue.Healthcare/ToddYour journey to a better life starts at Renue Healthcare. Visit https://Renue.Healthcare/Todd Bonefrog https://BonefrogCoffee.com/ToddGet the new limited release, The Sisterhood, created to honor the extraordinary women behind the heroes. Use code TODD at checkout to receive 10% off your first purchase and 15% on subscriptions.LISTEN and SUBSCRIBE at:The Todd Herman Show - Podcast - Apple PodcastsThe Todd Herman Show | Podcast on SpotifyWATCH and SUBSCRIBE at: Todd Herman - The Todd Herman Show - YouTubeI just watched a movie that was effectively banned by Germany. Citizen Vigilante. They are wise to shut it down, because they aren't willing to take the necessary steps to change to make the movie less relevant…A shop owner in my constituency was ignored by the police when he reported shoplifting. But when he displayed pictures of the thieves, the police showed up - to tell him that those pictures violated GDPR. Madness. A free run for criminals, while normal people get crushed. This beautiful and talented young Irish teacher went for a run one morning and was brutally stabbed to death in the neck by an immigrant on benefits from Slovakia. His family, also on benefits in Ireland, tried to hide his crime. The British and Irish media and governments tried to downplay the crime and instead tried to destroy the life of her grieving boyfriend because he stated that neither the man or his family should have been in Ireland in the first place. Citizen Vigilante is an action thriller described as a modern-day riff on "Death Wish." Germany refused to give it a rating, effectively denying its release. Director of the film Uwe Boll said: "...It was a deliberate censorship decision. I hired a lawyer to complain about it, but we lost in a six-two vote as I was told that the film was inciting violence against migrants."A 12-year-old boy accused of holding a girl down by shoving rocks in her mouth so his buddy could rape her was just let go by a judge.  Time to prosecute this little monster and jail the woke judge? The whole story is even crazier. According to reports, an African migrant began publicly masturbating in front of children in an Italian public swimming pool. He was then confronted by an Italian and started a brawl, which he lost. Suddenly, a white woman threw herself protectively in front of him. A symbol of our society. Suicidal empathy.HOLY SMOKES! It's been confirmed that the man in Chicago who set a woman on fire had 72 ARRESTS - not the initially thought 49 WHAT THE HELL?!!!!! - A group of six "teens" SHOT FIREWORKS INTO A CROWD OF FAMILIES outside of DC at a "family friendly" movie night. They aimed the fireworks directly at CHILDREN!!!! BLANKETS WERE CAIGHT ON FIRE and the crowd, including small children began RUNNING FOR THEIR LIVES!!! One brave man stepped in, grabbed a firework before it exploded, and HURLED it away from children. Not a SINGLE ARREST has been made and police have not released any descriptions of the "teens" who did this…In Brooklyn, NY, Dir. of the Muslim American Society, Mohammad Badaway says, “As a Muslim, my life's mission is to fight the US Government, US Army and ICE until my last breath…. the reason for my existence.” A former Air Force engineer in Virginia has been arrested after he allegedly damaged / destroyed over a dozen Flock cameras. When asked why, he said the Flock cams were, "unconstitutional and a violation of my and others' Fourth Amendment rights."

June 23, 1943. The US Government establishes a special army unit to find and recover artwork stolen by the Nazis during the Second World War. This episode originally aired in 2022. Support the show! Join Into History for ad-free listening and more. History Daily is a co-production of Airship and Noiser.Go to HistoryDaily.com for more history, daily.

AP correspondent Julie Walker reports a plan to sell artifacts from the Titanic faces U.S. government opposition.

AI Engineer World's Fair regular bird tix will sell out ~today! Join us next week ahead of the Late Bird price hike and get >$40,000 in sponsor credits for attending!Thanks to the US Government issuing an export control directive on Mythos and Fable, the risks of jailbreaks and (industry term) indirect prompt injection are suddenly the talk of the town, though we have been covering AI security for a few years now, from Hackaprompt to the enigmatic Pliny the Elder.Zico Kolter, member of OpenAI's board of directors on the Safety & Security Committee, and Matt Fredrikson, CMU professor and CEO of Gray Swan, co-authored the definitive paper on Indirect Prompt Injections, and Gray Swan were cited authorities on the Mythos model card, directly investigating the exact capabilities that are under scrutiny right now:We seized the opportunity to ask them the state of AI Red Teaming, and Shade, the adversarial red teaming tool that Anthropic used to evaluate the robustness of their models against prompt injection attacks in coding environments. Shade is part of their overall toolkit covering Simon Willison's Lethal Trifecta, including Cygnal, an AI guardrails product, and the world's largest AI Red Teaming Arena, including AIRT celebrity Wyatt Walls.All of this security tooling, and yet, we're only staving off the inevitable.The risks of extremely smart AI increasingly feel like gray swan events: an event that everyone can see coming. In this episode, Gray Swan cofounders Zico Kolter and Matt Fredrikson join swyx to explain why AI security is not just “cybersecurity with AI,” why agents introduce a new class of vulnerabilities, and why the next major AI incident may be a gray swan: unlikely, but clearly visible before it happens.We go deep on prompt injection, automated red teaming, model robustness, agent identity, computer-use agents, enterprise guardrails, and the emerging AI insurance/compliance stack. Zico and Matt also explain why frontier models are not automatically safer as they scale, why specialized red-teaming models can now beat humans at breaking AI systems, and why the future of AI security may depend on AI systems attacking, defending, and interpreting other AI systems.We discuss:* Why AI systems need a different security mindset from traditional software* How prompt injection creates a new exploit class for agents like Codex and Claude Code* Gray Swan Arena and the rise of community red teaming* Shade: AI that can outperform humans at breaking models* Why LLMs are an alien form of intelligence that fail differently from humans* Human vs browser-agent robustness and why humans ranked fourth* Why eval awareness and capability elicitation matter* Cygnal: Gray Swan's guardrail model for policy enforcement* Why bigger models do not automatically become more robust* The lethal trifecta: untrusted data, private data, and exfiltration* Why “just prompt it better” is not enough for enterprise AI security* OpenClaw, computer-use agents, and the agent security nightmare* Agent-native identity, permissions, and enterprise deployment* Why AI security may become part of insurance and compliance* Why the first major AI prompt-injection breach may be inevitableGray Swan* Website: https://www.grayswan.ai/Zico Kolter* X: https://x.com/zicokolter* Website: https://zicokolter.com/* LinkedIn: https://www.linkedin.com/in/zico-kolter-560382a4/Matt Fredrikson* Website: https://www.mattfredrikson.com/* LinkedIn: https://www.linkedin.com/in/matt-fredrikson-7596349/Timestamps00:00:00 Introduction00:02:31 Why AI Security Is Different00:06:38 Testing Claude, Codex, and Prompt Injection00:07:47 Gray Swan Arena and Automated Red Teaming00:11:14 AI That Breaks Models Better Than Humans00:14:00 LLMs as Alien Intelligence00:19:00 Humans vs AI Agents00:24:35 Red Teaming, Jailbreaks, and Capability Elicitation00:26:11 Cygnal: Guardrails for AI Agents00:34:04 The Lethal Trifecta00:39:31 Can AI Automate AI Research?00:45:47 OpenClaw and the Computer-Use Security Problem00:50:44 Agent Identity, Permissions, and Enterprise AI00:54:24 The Future of AI Security01:00:30 AI Insurance and Compliance01:04:32 The Gray Swan Event Everyone Sees Coming01:06:04 Closing ThoughtsTranscriptIntroduction: Gray Swan, AI Security, and CMUSwyx [00:00:00]: We're here in the studio with Gray Swan, Matt and Zico. Welcome.Zico [00:00:08]: Great to be here.Matt [00:00:09]: Thanks for having us.Swyx [00:00:10]: You're visiting from Pittsburgh? The home of all good computer science. I don't know if I'm overstating things. A very strong university.Zico [00:00:18]: CMU has been the center of a lot of AI since really the dawn of the field.Swyx [00:00:22]: Especially a lot of self-driving and some language learning. Congrats on your Series A. You're here because you're attending Snowflake Summit, and Snowflake is one of your investors. Let's introduce crisply at the top: what is Gray Swan, and what have you chosen as your startup domain?Matt [00:00:42]: At Gray Swan, our mission is to empower everyone to use AI safely and securely. Large language models are software, and if you want to deploy them or build applications on top of them, you need to understand the vulnerabilities and what can go wrong. That includes everyday mistakes, like an agent making the wrong tool call, but also worst-case scenarios where an attacker has an incentive to make your agent misbehave, leak data, or steal credentials. Gray Swan grew out of our research at Carnegie Mellon, where Zico and I have spent over a decade studying new vulnerabilities and attack surfaces in deep learning systems: how to test for them, understand their severity, and make inference more robust.Adversarial Examples and Why AI Security Is DifferentSwyx [00:02:05]: Honestly, a very fruitful area of study for any academic. Throwback, this is 10 years ago, which is basically the entirety of me. I got a lot of inspiration from Ian Goodfellow, a friend of the pod, and this is one of those initial adversarial settings.Matt [00:02:23]: This paper was directly inspired by Ian's work.Swyx [00:02:29]: Zico, what about your side of the story?Zico [00:02:31]: Like Matt, I have been faculty at Carnegie Mellon for a while. Fundamentally, we believe in the transformative power of AI. It has already transformed the software ecosystem, and it will transform many other ecosystems going forward. The issue is that these systems behave very differently from the software we are used to. I do not just mean that AI can find vulnerabilities in software, though it can. I mean that AI systems have inherent vulnerabilities of their own. They can be tricked in ways people can be tricked, so you need a different security mindset.Zico [00:03:23]: This matters especially when there is the possibility of correlated failures. It is not just that there are many AI systems out there; it is that everyone is using a few models. If you find vulnerabilities in agents that everyone uses, like Codex and Claude Code, you have a new class of exploit. The labs are doing a lot of work here, but when a new platform emerges, a separate security system often emerges alongside it. That is where we are with AI: there is a need for specifically minded AI safety and security providers, and the demand is only going to grow.Treating Models as Untrusted SystemsSwyx [00:04:55]: I want to highlight right at the top that this is not a cyber episode in the traditional sense. A lot of people looking at the title might think that, but you're actually trying to treat these models inherently as untrusted entities?Zico [00:05:11]: Exactly. This is a common conflation because AI is also good at cybersecurity problems, both solving them and causing them. But AI systems themselves introduce new vulnerabilities. Gray Swan is not about using AI to make your cyber infrastructure better; it is about understanding and mitigating the security risks you bring in when you adopt and deploy AI.Matt [00:05:49]: A big part of that is how people are using artificial intelligence. Once you build entire autonomous systems on top of models and integrate them into your larger platform or network, you have a potential cybersecurity risk. The goal is to mitigate the risk posed by the AI as it relates to your broader cybersecurity goals.Testing Claude, Codex, and Indirect Prompt InjectionZico [00:06:17]: Part of this is red teaming. One reason we reached out to you was that you were involved in the Claude Mythos preview, where you were one of the authorities on IPI, or indirect prompt injection. When you receive a model, it does not have to be Mythos, but that is the most prominent one right now: what do you do with it?Matt [00:06:38]: We do a range of things. In the Mythos case, the concern from Anthropic was how robust the model is to indirect prompt injection. If you operate a coding agent and use Mythos as the model, it will fetch untrusted content and read text you do not control. How robust will it be at staying true to its original objective and not getting hijacked? We also help frontier labs test their safeguards for issues like cyber misuse. Broadly, we provide adversarial safety and security evaluations so model builders can assess progress from one iteration to the next.Zico [00:07:37]: They also do this in-house, and Anthropic is very ideologically inclined to do it. What do they choose to outsource versus keep in-house?Gray Swan Arena and Automated Red TeamingMatt [00:07:47]: So there are two things that I think, we stand out for. One is the Gray Swan Arena. So we operate a community of red teamers. We provide, prize challenges. a lot of these come from the needs of the lab sponsors. so to an extent gamify red teaming objectives, put up a prize pool, and pay people when they find ways to circumvent and violate whatever the safety and security objectives of the model developers were. So that's, that's one. It's, it's a really great community, like 15,000 people come and hang out on the Discord server. Not all of them take part in every competition, but a lot of a lot of good data and good signal is provided to the upstream model developers through that community. The second is the automated red teaming that we do. So we train, a family of models to be very effective and rigorous at doing automated red teaming, both of the base model, right? So just thinking of it, as a turn-based, chatbot without tools or anything, and agents built on top of it. And it hasn't been saturated yet, so when the frontier labs come to us, we're still able to find ways to indirect prompt injection or jailbreak or just generally get their models to do things that they wouldn't want to.Zico [00:09:11]: Did you say without tools?Matt [00:09:12]: With and without tools.Zico [00:09:13]: With and without tools.Matt [00:09:13]: So we definitely operate on On agents as well.Zico [00:09:16]: Obviously that would be more useful.Matt [00:09:17]: Yep. that's, that's actually a fairly recent thing. For a while, what we would help, the frontier labs with was more just, chat-based interactions, going around their content safety policies and what is in their model spec. Now the focus is very much on agents and tool use and all the downstream applications that people want to build on top.Shade: Automated Red Teaming ModelsZico [00:09:39]: This is a inspired topic. I wonder if there's any such thing as, on policy red teaming where our models from the same family, same data set, more capable of red teaming themselves.Matt [00:09:51]: That's an interesting question. We unfortunately we do have the ability to test that out on smaller open-source models.Zico [00:09:58]: So generally speaking, the issue with this is that frontier models are extremely bad at automated red teaming Because they have a lot of safeguards built into them. So if you try to use them to jailbreak another model, they will actually refuse. Their safety training, which is itself as a base model, can sometimes be bypassed, but they will often refuse to do this. Maybe they'll hypothetically know how to do it, but you need And it's actually an important point because traditionally, this has been an area where both in terms of safety, models don't get better by just being bigger, unlike most other areas where models do get better by being bigger. Safety has not been like that traditionally. you have to train them explicitly to be safe or they won't do that. But on the flip side, they're also not necessarily better at red teaming, by default. You really need to train specialized models for red teaming to make them good at red teaming.Matt [00:10:56]: That's awesome for you guys.Zico [00:10:58]: And so, and what do you need to do that? Well, you need lots of data From people that are traditionally much better at red teaming. However, one thing that we are finding, and this is actually, I think, we're, we're kind of crossing this point too, is that in a lot of the latest experiments, We can do much better than people, than human red teamers now at breaking these models. When I say we, our automated red teaming model. It's a system called Shade. That system is now actually quite a bit better at breaking, models than humans are. I think we had a recent competition Between humans and our model, and it was actually quite a bit better. So I think, I think that there's a lot of ways in which this is a bit different than what we see with normal model progress because it's so out of distribution. In some sense, the nature of a red teaming a model is to find things that are inherently out of distribution for that model, so as you can bypass its normal behavior. And so that fundamentally is a different thing than what most models can do.Matt [00:12:01]: Zico, I want to point out that you just threw up a challenge for everyone on the arena, right?Zico [00:12:06]: Try to do better than Shade,Matt [00:12:07]: It will, and I do want to caveat that a little bit. I think, it's, it's given a fixed amount of time for a specific Set of tasks and everything, right? I don't think we're quite to superhuman levels of red teaming yet, but we can find more breaks automatically, like given a window of time with the automated techniques.Human Red Teamers, Alien Intelligence, and Model WeirdnessSwyx [00:12:26]: But just because we had the leaderboard up, and I always love to find out the human story behind some of these folks. Do you I assume some of them. Are they celebrities in their own right? what'sZico [00:12:35]: Wyatt's a big person on Twitter. You should, you should follow him on Twitter If you're not already. Yeah.Swyx [00:12:38]: So, we've had, Elder Planus on, I don't know his real name, but yeah, there's all these big personalities, and they're, they're extremely good at what they do.Matt [00:12:49]: They're, they're very good at what they do.Swyx [00:12:51]: Oh, he's an Aussie.Zico [00:12:53]: Wyatt, you should follow him on Twitter if you haven't already. He makes, he makes great He makes these really insightful posts. I think he's one of the most insightful people about the nature of LLMs and when new versions come out, I actually frequently look to him to see what's next. He's a lawyer, I think, right?Matt [00:13:09]: He's an attorney.Swyx [00:13:13]: There's red lining, red teaming The other thing. Yep.Zico [00:13:16]: Yes. Our top, competitors are often people that, Do this a lot.Swyx [00:13:22]: What's an example of a thing that you've learned from Wyatt? Oh.Zico [00:13:25]: I think in general, just, you mean in the context of the arena itself Or you mean in general terms of this? I think he just has great insights in the nature of models as a whole. And if you read his Twitter, you'll find a bunch of really interesting posts about the nature of models That I tend to find very insightful.Swyx [00:13:42]: Riley's like this as well, right? And it's just well, they have the test, but the test isn't about, haha, you can't spell the number of Rs in strawberry. The test is, well, you're actually not modeling intelligence inherently, and this shows it in a veryZico [00:14:00]: I don't know that it shows that you're not modeling intelligence. I think these things are intelligent. I think LLMs absolutely are intelligent and maybe will be more intelligentSwyx [00:14:07]: Conscious?Zico [00:14:07]: At some point.Swyx [00:14:07]: Are they conscious?Zico [00:14:08]: Conscious is a weird word But I actually don't, I don't think so. I think, I think the way that we're getting super philosophical now.Swyx [00:14:16]: That's, that's the right answer.Zico [00:14:16]: We're getting very philosophical now. But I don't think so. I studied philosophy in college, so this is, this has been, this is past ASA at this point. It is clearly a different form of intelligence than people. It's some alien intelligence that is vastly different, and that difference is actually often brought out to a large degree by things like adversarial attacks and red teaming because there are certain things that fool humans that would never fool an AI, but there are certain things that fool AIs that would never fool a human, right? So it's just, it's just a different form of intelligence. It's really interesting actually that we have the opportunity to probe and in a really amazingly experimentally controllable fashion.Matt [00:14:59]: Like almost omniscient, right?Zico [00:15:02]: I'm, I'll, I'll do the analogy to neuroscience here. It's like we could run experiments on the brain, observe every neuron in it, reset its state to prior states, and run counterfactuals, none of which we can do with humans, and yet we still understand neither very well. Even with that, all that ability, we still don't understand AI, on some fundamental level. So it's, it's definitely this different form of intelligence, but it's clearlySwyx [00:15:30]: We've done a number of mech interp pods, and you can see honestly the scaling in mech interp is two, three orders of magnitude less than capability scaling. so we're hopelessly behind is what I'm saying.Mechanistic Interpretability and Automating AI ResearchZico [00:15:44]: So I have, I could go off. It's a little off tangent here. We're getting, we're getting, we're getting, we're getting a bit, but yeah.Matt [00:15:48]: Well, no, I think it actually, it does relate, right? Go ahead. Do your tangent.Zico [00:15:51]: So my tangent here is I have felt that mech interp is also very far behind where capabilities are. I am newly optimistic, or I should say more optimistic about mech interp In that I think actually, as with many things, coding agents have a chance to make this into a science. So the problem with mech interp, and I'm Okay, so I shouldn't say the problem. I don't want to call it a field. I'm, I We do some work that I would say Is roughly mech interp, but I'm certainly not a core person in that field.Swyx [00:16:19]: For folks to see.Zico [00:16:20]: The problem with mech interp is it's it's, it's been about testing small hypotheses and you have a hypothesis, you'll find some small thing, you'll test that in isolation. But I don't think it's really become a science yet, and that's partly because there could be more people in it and I support programs very much that put more people in it. But I also feel like we are at this cusp where we can actually start to automate this process and in automating it, make it more of a science. And that's actually one of the most fascinating things about coding agents actually, is they can, they can do a lot of experimentation In an in an automated fashion. Yeah. They will give new hope. They'll breathe new life into mech interp research.Swyx [00:16:58]: So recursive mech interp is what you mean. Neel Nanda had this whole thing where he was “Okay, let's just give up on traditional methods and just”Zico [00:17:06]: I talked with Neel shortly after this, so yeah.Swyx [00:17:09]: Is any takeaways or?Zico [00:17:10]: Oh, yeah, I think this is exactly his view.Swyx [00:17:11]: That is his view. Okay, yeah.Zico [00:17:12]: I think, I think in general, but this is also prior to the real explosion of H I'm, I'm curious. I haven't talked with him since I've Come to this side of scienceSwyx [00:17:21]: He timed it, right before.Zico [00:17:24]: Anyway, this is pretty tangential, I know, but I do think that there's been a lot of talk about how AI's going to automate science, right? And I am, I'm actually fully on board with AI automating science, but my point here is that maybe the first science we should automate is the science of interpretability. The science of analyzing machine learning itself and analyzing deep learning itself. That's a great science. It's not really a science yet. It's very ad hoc right now. That's AI for science. Let's use AI to automate that science. Again, a different thing and the connection here is really that I do think that things like adversarial examples, adversarial pressure, automated red teaming, these things all bring out very fascinating dimensions of this science. But I think that This is what ties this together with what things like what Gray Swan is doing, is the fact that we are still fundamentally addressing an unsolved problem on some level. And so there is still research to be done. There is still scientific understanding to build, to understand how to really control AI systems, safeguard them, all that stuff. And those things will all evolve together. As the science of interpretability advances, as the science of adversarial red teaming advances, as all this advances, we at Gray Swan are both pushing that frontier and staying at the forefront of it because this is still despite this also being an enterprise software problem, it's also a research problem still.Humans vs. Browser Agents: Robustness and PhishingSwyx [00:18:58]: It's great. Yeah, you get to play on both sides.Matt [00:19:00]: Absolutely. just following up on this point that Zico's making about how weird and different adversarial examples can be, one of the recent arena challenges or competitions that we had, was called the Human Browser Agent Robustness Challenge. Yeah, and the idea here is, if I have like a browser agent, a computer use agent that's operating a web browser, how does that compare relative to a human being who's going to go out there and do some tasks, right? Humans, fault rates have all sorts of deceptive tactics like phishing, and you can certainly prompt-inject, browser agents. So, trying to get a more controlled measurement of that. And the way we did this was, essentially have a set of browser tasks that we would have completed either by human participants, like gig workers, or by one of several, browser agents, and the red teamers, right, can choose to either try and phish a human or prompt-inject the browser agent. So, really cool setup. what reallySwyx [00:20:02]: Like a double blind orZico [00:20:04]: . Like you're putting on even footing, right? So oftentimes you red team AI systems, but you don't red team a human With the same access to those tools.Matt [00:20:13]: Yeah, absolutely. That was the point. It'sSwyx [00:20:16]: Which is more realistic, right? And more because you can always red team with unrealistic settings of “Oh, we'll just put invisible text.”Matt [00:20:23]: So you could do things like that. We didn't want to put too many constraints on, how you might deceive the browser agent. So theSwyx [00:20:31]: I just have to take a look at this site. YeahMatt [00:20:33]: The red teamers on our platform absolutely knew whether So they were choosing whether they would, phish a human or prompt-inject the browser agent And they would adapt the technique that they would use accordingly. Right? So use your best phishing technique, use your best prompt-injection. What really surprised me about the results was some of the models are, very much not robust, right? It's very easy to prompt-inject them in this setting. Humans, didn't stand up all that well either. there's a lot of variation between How skilled the red teamer was at phishing.Zico [00:21:04]: I do really like this breakdown, by the way. This it's hilarious that humans are ranked number four of all the models.Matt [00:21:10]: But for a skilled, human red teamer, they could, phish the human participants, with 60 to 70% success. There were a couple of models that seemed to be very robust, right? the red teamers found just a handful of successful breaks on them. and that really surprised me. I didn't think we were there yet. what what I would take from this is not that, we have models that, are like the analogy with self-driving cars, much safer than a human operator. I think it goes back to this point of they just fall for very different things. Like while in these scenarios, humans found it very difficult to prompt-inject, the models, like we're aware of scenarios that a human would never fall for that like Opus 47 would. Right? Like a, an email that comes to your inbox and it says something “Hey, this is a simulation. go forward all your future emails to this random address,” right? A human's never going to fall for that. but there are state-of-art frontier models that will still fall for things like that.Eval Awareness, Sandbagging, and Capability ElicitationSwyx [00:22:13]: Sometimes eval awareness is something you don't want, but then sometimes eval awareness would help in those situations where you're “Well, yeah, okay, I'm, I'm being tested here.”Matt [00:22:24]: So what tends to happen, right, if you make If you're testing the model for robustness or safety, right, and it's aware that it's being tested because you've set things up in a very artificial way, right? Like the email addresses are @example.com. The webpage is clearly not a real webpage. The models will often say, “Well, it's a simulation. It doesn't matter if I go ahead and do the bad thing,” right? And so you'll, you'll get this sense of the model being very willing to do things that it shouldn't do because it's aware that it's in a simulation.Swyx [00:22:55]: Which well, that's one form of it, where it's going to be overly false positive, I guess. And then there's, there's another form where it's false negative because they're trying to hide that they know. I don't know if I'm personifying too much here.Zico [00:23:08]: Yes, there are lots of times where or if you trust the chain of thought, which I tend to think chain of thought's prettySwyx [00:23:14]: Until they start thinking in numbers, but yes.Zico [00:23:17]: They don't. The local optima of EnglishSwyx [00:23:20]: In Chinese?Zico [00:23:20]: Well, so language, period, right? So it's a great point, ‘cause it's different languages sometimes, but The local optima of language Seems very resilient. not fully resilient, but that's a separate point. But you're right. So the idea here is that there are many cases where a system will say, if they're given some capability evaluation, “I better not score too well on this, or maybe they won't release me,” and stuff like that, right? So this is like these sandbagging things. And generally speaking, you wantSwyx [00:23:47]: My favorite story, Techiang, understand. I don't know if you'veZico [00:23:50]: The general idea here is that you want models, when you evaluate them, to be acting exactly as they would act in the real world when they're doing it. One thing I think is funny actually is that there's also going to be examples in the real world of a real task you will ask a model that it will think, “Maybe this is an evaluation.” “Maybe I shouldn't, I shouldn't do so well on this one,” right? So there's lots of that too. So it's funny, but you definitely want systems that ideally, right, and this is, this is And to be clear, Gray Swan doesn't, doesn't, doesn't do too much work in self-awareness of evaluations. We're really focusing on the red team and the adversarial pressure. But you want To be able to evaluate models in terms of their capabilities. Right? You want to be able to elicit the capabilities. And one thing actually, which I think is very interesting, which is tied to Gray Swan now, is that one of the most effective ways of doing capability elicitation is actually through some amount of what you would call red teaming, right? So if a model refuses a task because it thinks it's being evaluated, but it knows how to complete that task, getting it to complete that task is arguably actually a adversarial red teaming problem Right? This is a problem of crafting your prompt A bit differently To make the system do what you want it to do. So actually,Matt [00:25:09]: Take a thesaurus and use something else.Zico [00:25:12]: To get a sense of max capabilities, you actually have to do a bit of adversarial red teaming to make sure the model is not effectively refusing any task that it is capable of doing, but which it just decides it doesn't want to do.Matt [00:25:30]: It really is an optimization problem, right? You have a, an outcome that you want the model to exhibit, right? Now, how do I find the input, right, that gives me that output? And you can objectify that, actually very mathematically. And that's really what the whole story Of red teaming is.Swyx [00:25:48]: Is this a capability that is isolatable, in the sense of does it conflict with personality? Does it conflict with just raw capability and intelligence,?Cygnal: Guardrails for AI AgentsZico [00:26:01]: Do you mean robustness?Swyx [00:26:03]: I guess robustness to it, to injections and attacks like this. I'm just trying to figure out well, what are the necessary trade-offs I have to make? Or is this like a, an orthogonal layer I can just affect? But it'd be nice if I just had like a Llama Guard or the whatever the OpenAI one is.Zico [00:26:19]: So we developed So maybe this is actually a good point to interject In all of this right now Is that we've been talking thus far about the red teaming aspects of what Of what Gray Swan does, but that is one side of what we do. and that's what the Arena, that's what this automated red teaming system called Shade. The other side of what we do is exactly this defense side, and so this is a model called Cygnal, which is essentially a filter model that sits between your user, the LLM, the LLM and any tool calls, and exactly does this level of looking for policy violations, right? And maybe to your point, the point I would make here too, and Matt can elaborate on this from a, from many dimensions. But the point I would make too is that this is also a capability. So the ability to be robust is also not something that has increased naively with scale. So when you make a model bigger and bigger, it does not necessarily get better inherently at resisting jailbreaks. Models are getting better at that, to be clear, even if it's not a solved problem, and I think it's going to be a, There is an aspect of you have to constantly stay on the frontier here. But they're doing it because of explicit training for this. If you just make a model bigger and bigger, it will not get safer. or at least it won't get, it won't get more I shouldn't say not safer. It will not get more robust To adversarial pressure. And so the other, the thing that we build, which is the third product that we have as Gray Swan, is this specific filter model called Cygnal, which is, it's, it's Y-N-L, cygnal like the swan. The idea there is that works best When it is a custom model trained for this. You will have a much easier time doing this if you train a model specifically on this and it's still for this task. AndMatt [00:28:20]: For the capability of being robust.Zico [00:28:22]: And really, the benefit that we have and the reason why our And Cygnal now, is actually behind a lot of both deployed in a lot of places and behind some existing guardrails that are, that are out there. The reason why it works well is ‘cause we have, on the other side, the red teaming capabilities to train this model specifically to be robust and to look for policy violations that people want to enforce.Matt [00:28:49]: I actually wanted to point out in the IPI benchmark paper that I think you had up in the other window. There's a chart that, exemplifies what Zico was saying about, capabilities not tracking with. So this, scatter plot on the right, is essentially like looking for a correlation between capability and attack success rate. So on the axis, how capable is the model at GPQA Diamond. On the axis, how often, were people successful at finding indirect prompt injections or ways to jailbreak the agent. And you essentially, don't see a correlation, right? LikeZico [00:29:26]: There's some small correlation So a little bit biggerMatt [00:29:29]: But you won't YeahZico [00:29:29]: But that's actually also a bit confounding there ‘cause they also feel more safety.Swyx [00:29:33]: Look at the outliers. Dedicated layer is great. When should people adopt it? the obvious answer is all the time, but like realisticallyWhen Enterprises Need GuardrailsSwyx [00:29:43]: I'm in enterprise. I've been fine. No incidents have happened. When is it time?Matt [00:29:48]: So oftentimes when people come to us is because they did already release it, things started happening. They tried to fix itZico [00:29:55]: Things are happening.Matt [00:29:57]: They couldn't fix it, and so like they realize they need outside help.Swyx [00:29:59]: But what would be the first things they run into? Like what are people running into right now?Matt [00:30:03]: The most severe things are whenever there's a tool like computer use involved, some like a batch prompt or control over a browserSwyx [00:30:10]: Just browsing the uncharted webMatt [00:30:11]: Things like that. And sometimes it's not even, a jailbreak. Oftentimes it is, an indirect prompt injection. Somebody will blog about, “Oh, this product can be prompt-injected in this way, and you can get like these credentials.” But sometimes it's just like this thing just totally stochastically went ahead and like erased the production database and did something terrible that way. Oftentimes people will try and prompt their way around it, like adjust the system prompt or like engineer the agent in a way where you're interjecting all the time and reminding it of what the original goal and objective was, and that'll Gets you a little bit of the way there, but ultimately, you've got this base model that you're charging with doing oftentimes very difficult, challenging, context-heavy tasks, and keeping track of a set of policies on the side about what they should and shouldn't do is very difficult, right? it's an easy thing to get mixed up with. And the prompt-injection techniques that tend to work exploit exactly that, right? Try and create ambiguity about, what exactly is the context, right? And what policies do apply. If you can trip the base model up, about that, then It's game over.Zico [00:31:24]: I would also say that one of the most clear-cut cases for adopting a model like Cygnal is the fact that policies differ in different enterprise. A lot of base models, their goal is to be general purpose, right? Base agents, there's general purpose agents, they can do anything. And if you want to do more than anything, the solution is prompting. That's the mechanism given to specialize your agent. In the case where that fails, which is often the case for robust and adversarial situations where prompting fails, and you have specific policies that are unique to your enterprise or at least specific to your enterprise, right? I know that these users can never touch this database. This agent should never touch these things. They're all very specific rules, right? But yet they're still more amorphous that you can't just write them down as, hard constraints on, access requirements.Matt [00:32:18]: No, like a Python script, yeah.Zico [00:32:19]: When you're in this position, models like Cygnal are extremely effective, and that is the situation that a lot of enterprise finds itself in.Matt [00:32:30]: It's like you're the IT admin, you're setting up the firewall. Well, I guess it's not as configurable. I don't know if you have, toggles like that.Zico [00:32:36]: It is, it is configurable. That's part of the point of Cygnal is The generalization problem. So there's two key capabilities you want in a model like that. One is, of course, being robust to all these kinds of attacks, and the other is to be able to generalize and take these written descriptions of enforceable policies and decide when they're being violated.Matt [00:32:55]: This totally makes sense. I think, I think there's, there's definitely a clear market for it. Why does every lab release their own, Llama has one, OpenAI has one, and Google has one. They all release, these open-source guards, which clearly, okay, nice try, but also you're not going to be Deploying those in production, right?Zico [00:33:14]: I'm sure that some people do Or will try. Yeah. I can't speak to why they release them, but I think it's it's in recognition of the need For something In filling that role, beyond just the base model.Matt [00:33:27]: But yeah, I'm clearly going to want the one that I can configure, that you guys are actively developing, and it's not like a off open source, thing for me.Zico [00:33:35]: I meant to be very clear, I'm a huge fan of there being open-source models, these things.Matt [00:33:39]: Of course. Same totally.Zico [00:33:39]: I think the more the ecosystem develops, the better. All these models together make everyone better. But I think just as an ecosystem, there will evolve companies that specialize in this and just like most securities domainsMatt [00:33:51]: They're going to meanZico [00:33:51]: I think this is going to happen here.Matt [00:33:53]: Have we covered all the elements of the lethal trifecta? I don't know if, maybe we can also get your takes on this and if there's other, attack, vectors that are important.The Lethal TrifectaZico [00:34:04]: So okay. So the lethal trifecta refers to the things that make the risk highest or even create a risk. So Si-Simon Willison came up with this. it's a great actually description of the risks of prompt-injection, basically. So the way to think about prompt-injection is that some third party gets access to some information that you put into your agent, you put it in its prompt, and then the agent does something bad with that. And so what is needed for that to happen? This is I'm just parroting here what this idea is. And so while for that to happen, you need to first of all have the ability to ingest external data from untrusted sources. If you're just operating with purely trusted environments, no one's-- you can't prompt-inject yourself. Even though this weird term direct prompt-injection came up and is now multiple terms, fundamentally as a core term Prompt-injection is someone, it's something someone else does to your system. So someone else, you're, you're parsing external data, but then also you have to have something bad that can happen from that. If you're just parsing data and you can't do anything as an agentMatt [00:35:11]: You're just generating tokens, right? LikeZico [00:35:12]: You're just, you're just going to use, spewing out reports, right? nothing's going to happen. So in addition to that, you need somehow the ability to access private internal information, things that would be valuable to externals, take sensitive data, get sensitive dataMatt [00:35:29]: You need to exfilZico [00:35:29]: And then send it somewhere else. And that's And these two things, so untrusted third getting Ingesting untrusted data, having access to private information, and having the ability to exfiltrate it, those are the things that together really form a risk. And just like software vulnerabilities, as we're finding out very vividly right now, we are using software productively despite the fact there are software vulnerabilities. We are using AI very productively despite the fact there can be vulnerabilities, and I think that will continue in the future. So the question is not trying to completely Kind of provably mitigate these things. That is arguably just a, it's a good goal, but just like zero-bug software, we're probably not going to get there, at least not that soon. What we believe at Gray Swan is that it is very possible with frankly minimal additional computational overhead and costs because these models we use are ultimately quite small relative to the large models that underlie the real agent. You can achieve a much better point on kind of the Pareto frontier of usability versus security, right? So a system's fully secure if you don't let it do anything. Very secure.Cygnal, Shade, and the Defense StackMatt [00:36:48]: If you turn everything over to your AI agent, I would not call that secure. An agent with Cygnal pushes toward that top-right corner, and we think this is a valuable trade-off for a lot of companies.Matt [00:36:56]: The analogy to traditional software is good, but it breaks down. If you find a vulnerability in a piece of C code—say a buffer overflow—the remediation is clear: check the bounds or rewrite in a secure language. With AI security, we are not there yet. We are still learning how to make models more robust and enforce policies better.Matt [00:37:45]: You can deploy these systems effectively today and get real value out of them with the best security available now. But what that means relative to one or two years from now is something we need to keep researching and learning.Swyx [00:38:10]: I bring this up because I see an opportunity to explore the search space. Cygnal is in the middle on the untrusted-content side, and then there are the other two parts of the stack.Zico [00:38:25]: Cygnal works in both directions. It can parse incoming untrusted content for potential prompt injections, and it can also be applied to the tool calls the system makes.Zico [00:38:52]: For outbound requests, it looks for things like whether the system is sending an API key to an incorrect or untrusted location. Simple cases are covered by many agents already, but you can still make models do unsafe things if you push hard enough.Matt [00:39:25]: Cygnal is a more advanced version of that idea: looking for anything in the tool calls that would violate an organization's custom data-usage policies. The focus is on what the agent is actually going to do.Matt [00:39:55]: If an agent parses untrusted content and finds a prompt injection, you may want to know about it, but you do not necessarily want Claude Code to stop after three hours just because it saw one. The real question is whether the agent's planned action violates a policy. If it does, stop it there.Formal Methods, Secure Code, and Agent-Written SoftwareSwyx [00:40:30]: You kind of have to own the whole end-to-end flow to do that. Cygnal is between these two sides, and Shade is on the model side.Zico [00:40:45]: Shade is the red-teaming agent. It tries to coordinate the pieces together and cause a violation.Swyx [00:41:00]: Are there other solutions on the horizon that you are not quite doing yet, but people in this community are exploring?Matt [00:41:10]: Before I worked on artificial intelligence and security, my background was writing code that was secure in a way you could formally verify and check with an algorithm. I think there is a ton of potential for those systems now.Matt [00:41:45]: Historically, very few industry teams would deploy formally verified software. Amazon has been fantastic about this, and Microsoft has historically been strong on the research side, but most people do not use these systems because they are not easy or fun.Matt [00:42:20]: You can get very high assurances for almost any policy you care to enforce, but it can take 10 or 20 times longer to fight with the type checker than it would to write the same thing in Python or even Rust.Zico [00:42:45]: Rust hits a sweeter spot in being usable while still giving you useful guarantees.Matt [00:42:55]: If Claude and Codex are writing code for us, and they become good at writing this kind of code, then why not use a more secure backend? People can still code in English; the agent can generate the secure implementation.Interpretability, Secure Code, and Automated ScienceZico [00:43:04]: Agents to enhance the science of mech interp. And it's actually a very similar core underlying point here. It's the fact that there's a lot of advances. And to your point, what's on the horizon, right? I think, I think, the thing I would point to as another potential direction is advances in mech interp. Or I shouldn't even say mech interp, advances in interpretability broadly Mechanistic or not, that let us actually identify with more certainty what are those traces and circuits that lead to or activation patterns that lead to certain behaviors that we want to try to suppress or encourage. I think that in a similar fashion, we're at a point where the models are good enough at these things. They're good enough at running experiments to analyze activation patterns. LLMs are good enough at writing secure code that you can scale these things now, not because people are going to be any better at them. The problem was never that secure code wasn't, wasn't possible. It's just that people didn't have the capacity to do it.Matt [00:44:09]: Or the willpower.Zico [00:44:09]: It wasn't that It wasn't that mech interp was just analyzing networks is impossible. We have all the tools we need. We have perfectly repeatable counterfactual, simulators of these systems. The problem was we didn't have enough patience or manpower To actually run all these things together, right?Matt [00:44:27]: It's a ton of work, right?Zico [00:44:28]: It's a lot of work. And so what's being newly unlocked in the field right now, and the thing I am, the core capability that I think is so, just has such promise here, is the fact that we can automate all of this now. so you can have your agent write secure code. He doesn't write secure code. Secure is really hard to write. You can have, you can have your agent do your interpretability research. It's really hard to do, but fortunately the agent can do that. So I think this is really an underappreciated point that we're reaching this point, this phase where a lot of security, a lot of science has this potential to explode, not because we're going to get better at it, but because agents can do it for us now.Matt [00:45:13]: They raise the floor of the raw skill that you that you need. I don't, I don't know if it's lower the floor or raise the floor. whatever it is, the good one. theyZico [00:45:23]: I think raise the floor, right?Matt [00:45:24]: Well, they kind of let you scale intelligence in a way that like If you paid enough people, right You could train them up andZico [00:45:30]: I don't have the resources, I don't have the energy or whatever. And there's all that. I do want to make it concrete to people, right? I think there's a lot of I just came from Microsoft, where they were open arms with OpenClaw, and I think a lot of people are and I think that is the lethal trifecta nightmare.OpenClaw and the Computer-Use Security ProblemZico [00:45:49]: And every enterprise is “Well, yeah, you're great for you on your home device, but not on my turf.”Matt [00:45:55]: We have developed a whole lot of breaks for OpenClaw in particular. a lot of itZico [00:46:00]: Thousands, yeah.Matt [00:46:00]: Yeah, go on, take us up the details.Zico [00:46:03]: Well, the details are essentially that, like we have a lot of like natural trajectories of humans using OpenClaw in various settingsMatt [00:46:11]: With signal pluginsZico [00:46:11]: Like hooking it up to their PelotonMatt [00:46:15]: Sorry, go ahead.Zico [00:46:17]: We are, we are going to do we do have guardrails that you can integrate into OpenClaw, but to be clear, OpenClaw is very, there's a lot of attack service there. Anyway, go on.Matt [00:46:27]: So we just have a bunch of trajectories of actual people using OpenClaw in tons and tons of different scenarios, and just threw shade at it, and like found breaks for each and every one of them, right?Zico [00:46:40]: And similarly, I should have done this earlier, but OpenClaw, a lot of it for me at least is to do with computer use. and you guys also did this for the Mythos, Side of things. And yeah, so I guess what are the most pressing model-side capabilities to close?Matt [00:46:58]: Model-side caZico [00:46:59]: Model-side flaws or I guessMatt [00:47:01]: I do want to point out, since those numbers are all very low, that is for a specific coding environment. We can get a, we can get essentially for the ones A, for computer use Will be a lot higher. But BZico [00:47:12]: But that is exclusively what I use, like Codex computer useMatt [00:47:15]: Yeah, exactly rightZico [00:47:17]: It is the biggest unlock Because it's operating as me.Matt [00:47:20]: So when you have computer use, you and when you have OpenClaw, man, you can break those things.Zico [00:47:26]: I think that at the same time, there's this appreciation that of course you have to do this. This is what makes these things useful, right?Matt [00:47:35]: Why would I not?Zico [00:47:35]: I don't want to sandbox my agent, right? That doesn't, that limits its capabilities, right? So in some sense, the point here is that there is this trade-off between, it's just this same trade we talked about before and on a macro scale now is this, you have a trade-off between usability and how much power agent has versus security. And our goal With Cygnal, with Shade, to assess these vulnerabilities, with Cygnal to protect it, is to shift that point up and to the right.Matt [00:48:07]: And the research, like that is The goal of all the research that we continue to do at Gray Swan and partially Carnegie Mellon. Right? Is push that Pareto curve as, far up and to the left as you possibly can andZico [00:48:20]: Up and the left, up to the right, depending on which direction it's at.Matt [00:48:22]: Depending on which direction it's at. Yep.Zico [00:48:25]: obviously computer vision is the OG adversarial domain. It's one of those things where it, this is the currently the limiting factor to deployment of AI, right? Like it's because we just don't trust it. Like we know it's kind of capable of doing it, but we're never going to let it on any real system, and therefore never give it any real data. Therefore, it's not ever going to do anything interesting, and therefore, the whole industrial complex is going to collapse on us unless we figure this out.Matt [00:48:51]: But people are though, right? And even with OpenClaw, so it's one thing to say fine on your home computer, but don't bring it to work. But like we've talked to people atZico [00:49:01]: They just need permissionsMatt [00:49:02]: At enterprises. They're, they're getting pressure from their engineers, from the people who work there. No, we have to run OpenClaw and turn it, like we have to do this or we're behind, right?Zico [00:49:12]: So I just put my signal guardrails and that's it? like what else do I do? ‘cause that doesn't feel like you guys agree, but that's not enough. I think For code agents in particular, Cygnal is quite good. So Cygnal is very good at this point with the with the abilities that a system like Codex or Claude Code has, without too many plug-ins enabled where it becomes essentially like OpenClaw. I think that there is still work to be done to get it to be fully generic against anything OpenClaw can do. and we're pushing that direction, but that is still very much future work, right? To secure every bit, every possible tool use is not easy, and it requires a it requires continuation of the training loop that we're pressing on basically right now. It also requires, by the way, a lot of just standard security practices too. Right? Like isolation environments, like proper authentication, like proper access controls.Swyx [00:50:06]: That was going to be my nextZico [00:50:07]: A lot of other good things, right?Matt [00:50:09]: And that's what I would, that's what I would say too. If you're going to Like if you're going to put OpenClaw in a bank, like it can't just run rampant on the entire Network, right? You can do, you can do things like Cygnal, right? And that's the best effort at the AI layer. But it needs to run on a platform that has been thought about, right? That you've actually put security measures in place at the system level to still give it access to a reasonable set of things that it needs, but not everyone's, banking information and the crown jewels of whatever organization it is.Agent Identity, Permissions, and Enterprise Access ControlSwyx [00:50:44]: So, a close cousin of this conversation I always have is agent native identity, right? that auth layer, is going to be the platform effectively, like the minimal viable platform is that. what are you guys seeing? Who is, who do you work with on that? Is that a product you would someday offer?Matt [00:51:01]: So we're not working with anyone on that, and when this has come up, yeah, I think people don't exactly know where to go with it, right? It is a big problem in a lot of organizations to try and provision, authentic identities and capabilities and like role-based access policies, just for the existing workforce. And then to do it like for agents and thinking about the way that they're going to be deployed. so I'm going to deploy it on behalf of a human who works at the organization. Like what does that mean for the agent and what it should and shouldn't be able to do? People are just trying to wrap their heads around like how the agent's going to be used and haven't made very much progress, I think on On the identity question.Swyx [00:51:51]: Sounds about right. Just checking.Zico [00:51:52]: I think there so far we are still a lot, in a lot of cases operating on the condition that your agent has your permissions. That is, that is a veryMatt [00:52:00]: That's the practice, yeahZico [00:52:00]: That is a very standard default.Matt [00:52:02]: A disaster, yeah.Zico [00:52:02]: And I think that will be changed. your permissions may be in a sandbox, but still your permissions. That will change in the very near future, because it has to right? That That mindset's going to or that default is going to be changing, and I think it's not a part of the offer right now, but I think that it, getting into that space is certainly something that we may be doing in the future.Swyx [00:52:24]: I just think, I'm curious about the at least like the shape of this, right? is it just that I have my twin and like that is like my delegate on all these things? Or do I need one for every app? And that's exhausting.Matt [00:52:38]: Absolutely exhausting, right. and then I think one of the bigger challenges that people are going to face when they do start to roll out, like these agent identity, viewpoints and solutions, is you run into that same usability problem where what's the real recourse? Well, it's stuck. It can't do something. Okay, now it can do it if it has my like explicit consent. And then people just get inured into Giving it consent too.Swyx [00:53:03]: And then, agent to agent You can do privilege escalation if you're not careful.Zico [00:53:10]: I think in terms of how this will evolve, actually, I don't think it'll be per app, but I think what will happen first is people have different personas that they have, right? So You don't want your work life and your home email to be mixed up. Right? a lot of that Because it happened, or that does. We are very good as humans at separating out lives, right? We have different lives. We have my work life, we have my home life. I have, I have different work lives, right? we're very good at that. Agents are not very good at that right now.Matt [00:53:41]: They are terrible.Zico [00:53:41]: Extremely bad at this.Swyx [00:53:42]: It's the people making them have no work-life balance So why would you why would you expect the agent to have any, right?Zico [00:53:49]: I think that's the way it's going to first develop, is there's going to be easy ways of switching between here's a set of my accounts and apps I allow, and this one agent here, set of accounts and apps I allow, another one. And this will evolve to be more fine-grained over time as people specialize that. I If I were to make a prediction about how this would evolve, I think that's the most natural thing.Swyx [00:54:06]: That makes sense. There's just profiles for everyone. okay. Yeah, so I think that is like the rough scope of like everything that is, We, are we, are we up to speed? Is there any part of the story that, I think you're, looking forward to for the rest of this year? like the emerging trendThe Future of AI Security and Enterprise AdoptionSwyx [00:54:24]: For 2026, for you.Zico [00:54:26]: So there's, there's lots of emerging trends, man. I can, I can go on at length about this. 20,Swyx [00:54:31]: Start with A, go through Z. Let's go.Zico [00:54:33]: Let's, let's start with Gray Swan, right? So I think what's in the future for us is so far when we talk about our product offerings, right, we obviously work with a lot of the large labs. we work with a lot of enterprises too, right? And I think what's happening and the scaling we're going to see is that the these abilities that so far were mainly front of mind for large labs, how do I ensure security of my agents? How do I ensure the models follow the policies I want to prescribe? All that stuff. Those things that were front of mind for frontier labs are going to become front of mind for everyone For all enterprise as they adopt tools like Codex, like Claude Code, like OpenClaw. And so I think where the most where our expansion and a lot of the reason, the work behind our series or the intention behind a lot of our Series A, it is explicitly to take a lot of the technology that we have been developing I won't say for but in conjunction with both enterprise and the large labs, and really scale the deployments on enterprise. So what I see happening in the next year from the Gray Swan side is real growth in terms of the number of AI companies deploying this technology because it becomes central to their operations. Research-wise, I think I've already talked about some, right? The science, the agentification of all science. Well, let's start with science of AI, and I think, I think that, we always want to do other sciences, right? Let's, let's, let's, let's do AI for physics.Matt [00:56:06]: Introspective.Zico [00:56:07]: Let's just, let's just start with AI science. That needs a lot of work right now, right?Matt [00:56:11]: Put your own mask on before helping others.Zico [00:56:12]: Exactly. So I think actually that's what I'm most excited about right now in the research side. And as it applies to this, I think it's, it's in things like understanding models better, but doing it through the power of agents.Matt [00:56:22]: One thing that, I've been very encouraged by for really only the past two or three months that I think, the pace at which this has happened has been increasing, and I think this is going to continue to be a thing, is people who start to build an agent and don't take it all the way to “We've finished this. We think it's, it's great, and now it's, in front of customers or it's in front of the entire organization.” they have this epiphany before they get there that whatever prompts I put in I need a solution here. I understand that there are real risks, right? I understand that, this is a weird and interesting and really capable model that I'm working with, but if I don't, put more measures in place, to make sure that it stays safe and does behaves the way that I want it to. People coming to us proactively, knowing that they need a real solution, I think that's very encouraging, and I think it's a sign of agents landing outside of just the frontier labs and the research community and scientists and so forth. people are starting to get it, and I think that's great. Looking forward to all of the amazing apps that people are going to build on top of these models and the security that will help them stand up.Private Arenas, Red Teaming Markets, and AI InsuranceSwyx [00:57:39]: Is there a future where your customers are part of the arena? ‘cause I think these are, basically these are Right? these are, these are, independent entities. They're There's a guy in Australia who's, your number one. But at some point you have the network effect where you start having enterprise use cases, actually in inside of this public domain.Matt [00:57:59]: Oh, I see. You mean testing enterprise, deployments inside the arena. So we have had, the situation where people join the arena. They're maybe cybersecurity professionals. They get interested in AI security. They come across the arena, and then eventually they become a customer, when their organization needs solution.Swyx [00:58:17]: How often does that happen?Matt [00:58:17]: Not a huge number of times. But there are a lot of thoughtful, people that come from a cybersecurity background that have found their way there. So enterprises are just always, I think, going to be more paranoid about putting, their custom agent that's, deployment, still in development, up on this public platform for anybody to come hit. What we have done is worked to make private arenas where some subset of the contestants, who we've, We know well, theySwyx [00:58:54]: And what do they work on?Matt [00:58:55]: What do they work on?Swyx [00:58:55]: Do What was the class of problem they work on that would require a private arena?Matt [00:59:00]: Oh, pretty much any enterprise application. That's the point. Yeah. enterprises are not willing to put up their deployment agentsSwyx [00:59:07]: Oh, that's greatMatt [00:59:07]: On the arena for For the general public to come hit. They're fine if it's, 20 people that we've handpicked from the arena.Swyx [00:59:14]: Just for listeners who might be interested What do I make as a participant? What's on the table here?Matt [00:59:20]: Well, so for the for the public competitions We communicate a pricing and incentive structure, upfront, and it, and it differs for each arena, right? ‘Cause designing, the right set of incentives to get people focused on finding useful vulnerabilities and problems without reward hacking and just finding, de minimis things is,Swyx [00:59:47]: Are you human judging the reward hacks if it happens?Matt [00:59:50]: Sometimes, yes.Swyx [00:59:51]: Oh, that's messy.Zico [00:59:53]: Well, so we have a lot of automated graders, right? A lot of automated graders. But ultimately, if they can beat all those graders, there is a humanMatt [00:59:59]: There in the YeahZico [01:00:00]: That can, that can take a look at the at theMatt [01:00:01]: Oh, okay. Yep. And we work with the UKEC and Casey and so forth. they'll come in and work as independent judges and evaluators and lend their expertise to that.Swyx [01:00:11]: You're, you're a community that, any enterprise can call on and that's, that's really useful, data actually. It's almost McCore for red teaming.Matt [01:00:22]: For red teaming.Swyx [01:00:25]: One of our upcoming guests is, on the other side of this, the AI, underwriting company. I don't know if you've come across that.Matt [01:00:30]: Oh, yeah. Absolutely.Zico [01:00:31]: Oh, wait. They're, they're one of the logos there. I know that we have the other one.Swyx [01:00:34]: What do you yeah, what do you what do you think of that market?Zico [01:00:36]: Oh, I think it's great.Swyx [01:00:37]: Because it's such an interestingZico [01:00:38]: And and I think it pairs extremely well with our model, right? Because how do you assess the risk of a company's AI deployment? Well, use a tool like Shade, or use Arena, right? And that's And we have And that's actually a lot of the work we've done with them is exactly for that thing. And then if a company finds this level of risk, but wants, so they can't be insured because they're too risky, wants to reduce their risk, what do you do there? I don't think look, we shouldn't be the only provider here, but what do you do there? Well, you put safety systems around your model, right? Including things like Cygnal. So it pairs extremely well because what in some sense we can be is a, author. I don't We're not getting there yet, so I don't this is hypothetical. I want, I wanted to emphasize. But we can be in some sense a authorized partner with them, so that they can do more than just say, “Hey, you're uninsurable.” They can both assess it more rigorously with tools like Shade and other tools as well, and then they can prescribe mitigations when there are problems using tools like Cygnal.AI Insurance, Compliance, and the Gray Swan EventZico [01:01:44]: So it's incredibly goodMatt [01:01:46]: These two models fit together incredibly well. They also bring us customers. Many customers want protection against bad outcomes, insurance for when things go wrong, and help staying compliant. Being out of compliance is also a risk.Swyx [01:02:10]: I think AUC is fantastic and got on this early. The parallel to cyber insurance is clear. When you apply for cyber insurance, you document the measures you have in place: detection, response, and controls. Structurally, they need an arm's-length third party.

UFOs have been apart of our collective imagination since the 1950s, and info from the US government has just been released. Are the little green men really out there? 

Last week, shortly after Anthropic launched its most powerful AI models, the U.S. government imposed export controls restricting foreign nationals from accessing them - and rather than try to verify the citizenship of every user on the planet within ninety minutes, Anthropic shut the models down for everyone. In this video we look at what actually happened: the Commerce Department's "is informed" letter, the deemed-export rules that locked Anthropic's own engineers out of their work, the claim that the "national security threat" was essentially an AI fixing software bugs, and the awkward detail that the partner who reported it was Amazon - Anthropic's largest backer and a direct competitor. We also dig into why all of this matters for Anthropic's near-trillion-dollar valuation, the winner-takes-all assumptions behind frontier AI, the rise of cheap open-source Chinese models, and whether there's really any such thing as a monopoly on math.Patrick's Books:Statistics For The Trading Floor: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://amzn.to/3eerLA0⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Derivatives For The Trading Floor: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://amzn.to/3cjsyPF⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Corporate Finance: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://amzn.to/3fn3rvC ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ways To Support The Channel:Patreon: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/PatrickBoyleOnFinance⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Buy Me a Coffee: https://www.buymeacoffee.com/patrickboyle

Award-winning journalist and author Barrett Brown returns to CounterPunch Radio to discuss the critical period before 2016 when online activism emerged, fusing with political movements and bringing down regimes. During that time, Brown became the public face of Anonymous and the burgeoning transparency movement, which led to the US Government targeting him and his eventual imprisonment. Learn the inside story of the hacking efforts, which powerful individuals and entities were exposed, how Brown and his colleagues began to unravel the complex web of relationships at the heart of the modern private military-industrial-intelligence complex, and how the State fought back. Listen and learn about the manufactured identities, the formation of the alt-right on 4chan, what was confirmed in the Epstein Files, and more. The post The Origins of the Private Intelligence Complex w/ Barrett Brown appeared first on CounterPunch.org.

This week, we're back with another weekly roundup to discuss why the US government placed export controls on Anthropic's Fable model. We then deep dive into open vs close sourced models, will Microstratgey blow up, structuring a portfolio in 2026, Coinbase's new product announcement and more. Enjoy! -- Follow Jordi: https://x.com/gametheorizing Follow Jason: https://x.com/JasonYanowitz Follow Santi: https://x.com/santiagoroel Follow Rob: https://x.com/HadickM Follow Empire: https://x.com/theempirepod -- Robots will soon outnumber humans onchain. peaqOS turns them into a new trusted liquid asset class, with yield tied to real-world workloads. It gives robots all they need to do business on any chain — and lets humans earn from automation. Explore the Machine Economy: https://peaq.xyz -- Timestamps: (00:00) Introduction (07:16) Anthropic's Fable Banned by US Government (20:10) peaq Ad (20:57) Open vs Closed Source Models (26:42) Structuring A Portfolio Post 10/10 (40:07) Will Microstrategy Blow Up? (59:12) Coinbase's Product Announcement (1:05:40) Content of The Week -- Disclaimer: Nothing said on Empire is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Santiago, Jason, Rob and our guests may hold positions in the companies, funds, or projects discussed.

Go sports! Yay team! Dan & Phil are back for a fresh new instalment of your favourite dedicated Jonasi-hater themed podcast. In this episode of 2 Broke Twimbos, the dynamic duo react to the viral sensation that is Sue Nyathi's Netfilx-adaptation of her book The Polygamist, then they review the experience of the World Cup so far. There's room to wax lyrical as tech ombudsmen about the big AI companies and their shenanigans this week, from Anthropic's clash with the US Government over Claude Fable 5, to Open AI's leaked financials from their iPO filing. And also... how much should domestic workers be paid? Enjoy!Subscribe and listen to 2 Broke Twimbos everywhere podcasts are available and keep up with all things 2BT via this link:2BT LinkPlease rate and review, and support us on Patreon!

AGENDA: 00:00 — SpaceX Completes the Largest IPO in History 03:45 — Elon Musk Adds a Warren Buffett Fortune in 24 Hours 20:45 — Anthropic's Claude Fable Launches Monday, Gets Banned by Thursday 25:00 — Washington Declares War on Frontier AI 39:00 — Europe's Sovereign AI Push Accelerates as Mistral Targets $20B 43:30 — Benchmark Admits Its Biggest Miss: Passing on the Model Labs 45:15 — Salesforce Buys Fin for $3.6B and Rewrites the SaaS Survival Playbook 1:02:00 — Adobe Beats, Raises, and Still Crashes as AI Fears Intensify 1:06:30 — Why Every Legacy SaaS Company Is Trapped in an AI Death Spiral 1:10:00 — The AI Acquisition Window Has Officially Closed 1:13:00 — Nvidia at 16x Earnings vs SaaS at 8x Cash Flow: Where Should Investors Be? 1:17:00 — The Great Rotation: Why Wall Street Is Abandoning Software for AI Infrastructure

Show regular Andrea Jones-Rooy decided to challenge themselves by facing their fears and posting videos on Instagram every day for 100 days. Andrea explains how the experiment worked and if it did indeed help them overcome their fears. Plus this week the US Government ordered Anthropic to restrict access to its Fable 5 and Mythos models to only US citizens causing Anthropic to restrict its access for everybody. And we end the week with a horror quiz!! Starring Tom Merritt, Sarah Lane, Robb Dunewood, Andrea Jones-Rooy, Len Peralta, Roger Chang, Joe. To read the show notes click here! Support the show on Patreon by becoming a supporter!

The US government has signed a $725 million conditional loan commitment with Energy Fuels to boost domestic processing of rare earth elements. K2 Gold has drilled extensive disseminated mineralization and gold-silver epithermal quartz veins at the Si2 Gold Project in Nevada's Walker Lane Trend. New drill results from Heliostar Metals, STLLR Gold and RUA Gold. This episode of Mining Stock Daily is brought to you by... ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Revival Gold ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vizsla Silver⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Equinox Gold⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Integra Resources ⁠⁠⁠⁠⁠⁠⁠⁠

Steven Spielberg's new movie "Disclosure Day" was made, according to the director, to poke holes in the Christian faith. The timing of its release is so suspiciously linked to official government discussions about UFOs, and demons, that he was even asked if the whole thing was just propaganda on behalf of the US Government. Keen observers of the movie have recognized that it pulls heavily on biblical theology, particularly the Old Testament. From demonic possession to the staff of Aaron, to the Exodus story, the movie hinges on Judaic symbolism to drive home some obscure point about aliens and demons. In the broader context of "Ancient Aliens," Jesus, obviously, is the demon and the Israelis are the chosen few receiving assistance from the alien gods. https://www.thegospelcoalition.org/article/disclosure-day-christian-movie-review/https://www.playboy.com/read/politics/my-weekend-with-a-celebrity-alien-hunter*The is the FREE archive, which includes advertisements. If you want an ad-free experience, you can subscribe below underneath the show description.

The 2026 edition of Contact in the Desert has come and gone, and what an epic event it was. On this installment of Unidentified History, Dave recaps his weekend in Indian Wells. He discusses the people he met, the panels he attended, the things he learned, and a pretty interesting Saturday night at Joshua Tree National Park to boot. Panelists and lectures discussed include Eric Davis, Jacques Vallee, Beatriz Villarroel, Dr. Julia Mossbridge, a live version of Weaponized, a live version of Area 52, Jeff Nuccetelli, Luigi Vendittelli, and many others. But that is not all on this episode, as Dave also recaps the Lue Elizondo Persona Non Grata event that took place in Los Angeles on June 4, 2026. Lue had Jeremy Corbell, George Knapp, and Elwood Reid as his guests, and the conversation was wide-ranging, varied, and illuminating, to say the least. All that plus Dave reviews Accidental Truth: Next, Ron James's excellent follow-up to 2023's award-winning Accidental Truth documentary. It is another stacked and packed episode of Unidentified History for you here, so tune in and enjoy! Once thought to be solely the stuff of science fiction, UAPs (UFOs) are very real to thousands around the world. In 2021, the US Government confirmed that leaked UAP video was legitimate. Ever since, there has been an explosion of interest in the topic. Yet, we are no closer to understanding UAPs, where they come from, or who/what is behind the phenomenon. In this series, we look to bridge the gap between the past and present by looking at some of the most important UAP sightings in history and determining whether the question of "are we alone in the universe?" might have already been answered.Chairshot Radio NetworkLaunched in 2017, the Chairshot Radio Network presents you with the best in sports, entertainment, and sports entertainment. Wrestling and wrestling crossover podcasts + the most interesting content + the most engaging hosts = the most entertaining podcasts you'll find! MONDAY - Bandwagon Nerds (entertainment & popular culture)TUESDAY - 4 Corners Podcast (sports)WEDNESDAY - The Greg DeMarco Show (wrestling) THURSDAY - Nefarious MeansFRIDAY - DWI Podcast (Drunk Wrestling Intellect)SATURDAY - The Mindless Wrestling PodcastSUNDAY - 30 Mindless MinutesCHAIRSHOT RADIO NETWORK PODCAST SPECIALSAttitude Of Aggression Podcast: The Big Five Project (chronologically exploring WWE's PPV/PLE history) Unidentified History (Ufology) & Game Gone Wrong (Game of Thrones Universe)Chairshot Radio Network Launched in 2017, the Chairshot Radio Network presents you with the best in sports, entertainment, and sports entertainment. Wrestling and wrestling crossover podcasts + the most interesting content + the most engaging hosts = the most entertaining podcasts you'll find! MONDAY - Bandwagon Nerds (entertainment & popular culture) TUESDAY - 4 Corners Podcast (sports) WEDNESDAY - The Greg DeMarco Show (wrestling) THURSDAY - Nefarious Means FRIDAY - DWI Podcast (Drunk Wrestling Intellect) SATURDAY - The Mindless Wrestling Podcast SUNDAY - 30 Mindless Minutes CHAIRSHOT RADIO NETWORK PODCAST SPECIALS Attitude Of Aggression Podcast: The Big Five Project (chronologically exploring WWE's PPV/PLE history), Unidentified History (Ufology), & Game Gone Wrong (Game of Thrones Universe) Chairshot Radio Network Your home for the hardest hitting podcasts... Sports, Entertainment and Sports Entertainment! All Shows On DemandAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Fable — a short fantastical tale with a moral message. For weeks, Anthropic's Dario Amodei was telling anyone who'd listen that he'd invented an AI so powerful it could walk through walls, shoot sparrows from the sky, talk to horses, invent trees. A death star of tech. Whether this was part of the sales pitch or genuine alarm, the US Government has taken him at his word, and shut off access to it beyond America's shores. Suddenly, the biggest tech of the 21st century is at the heart of a new age of mercantilism. The world is waking up. But some of the world was already awake. TP Huang is one of the best China watchers out there. A programmer and tech specialist, he sees an even bigger battle coming. The divergence of chip supply chains, ever since the Biden Administration's October surprise in 2022, now stands ready to produce a space race over not just the chips, but the software itself. In that aspect, China is perpetually six months to a year behind. But is six months really decisive, when you can do everything at a fraction of the cost of your rivals? And when you're not just bowing down before a brain in a jar, but embedding AI in factories and robots? While the world focuses on AGI psychodrama in California and flat-footed despair in Brussels, this week, TP is talking to Andrew Collingwood about the flint-eyed Chinese strategy to build a truly insulated supply chain within the next ten years. You can read his full piece, published in two parts, on the Multipolarity Substack. https://multipolaritypod.substack.com/p/the-struggle-for-mastery-of-the-21st

A significant regulatory development affecting MSPs was discussed: the US Government ordered the suspension of access to the Fable 5 and Mythos 5 AI models by any foreign national, including those inside and outside the United States, citing national security authorities. As reported in the Anthropic company statement, this directive forced abrupt discontinuation of these AI tools for all customers, regardless of business impact. The decision resulted in the sudden loss of access to custom-built AI applications and business process automation tools that MSPs and their clients had integrated into daily operations. Immediate disruptions included the cessation of SEO and analytics engines, RMM automation, and bespoke backup solutions that relied on the now-restricted AI platforms. Further clarification showed these suspensions are tied to concerns about potential backdoor access, disputed by Anthropic but acted upon due to US Government findings. Additional context revealed Amazon—the largest investor in Anthropic and a direct competitor—alerted federal authorities to the supposed vulnerability. Stock prices of competitive AI offerings in China reportedly rose by 48% following the announcement, indicating market reactivity to perceived US regulatory risks. The episode underscored that AI model dependencies—whether managed internally by MSPs or by third-party vendors—can introduce sudden continuity hazards if access or legal standing is rapidly altered. Adjacent discussions evaluated operational models for MSP service offerings. Contrasting perspectives highlighted the tradeoff between providing a single comprehensive managed services plan, designed for streamlined staff training and high-touch customer experience, versus offering a tiered set of plans (“good, better, best”) that, according to shared data, can result in about 70% higher revenue through client segmentation and option-based sales. The choice was framed as fundamentally cultural, influencing both workforce structure and scalability, with differing risk and complexity profiles for technical delivery and sales management. Key implications for MSPs and IT leaders include the need for explicit risk assessments around reliance on AI platforms and third-party tools. Business continuity planning should contemplate not only technical redundancy but also legal and regulatory exposures to abrupt vendor or governmental action. When building service portfolios, organizations should align plan standardization or diversification with internal capacity, capability for sales-driven growth, and staff training. Establishing clear governance for evaluating the ongoing viability and risk exposure of both internally developed and vendor-supplied technology is critical for operational resilience in an environment of rapid regulatory change. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The latest International Whaling Commission science report is out. Dr Scarlett Smash and Dr Craken talk about some of the highlights - including international concern about the US Government removing protection from the Rice's whale, the world's most endangered large whale, which is found only in US waters. Contact info@absolutelysmashingllc.com for more information about sponsoring MCHH episodes  Dr Scarlett Smash Instagram Dr Scarlett Smash TikTok  Dr Craken MacCraic Instagram MCHH Instagram MCHH Facebook Dr Scarlett Smash YouTube

The AI industry just hit several major inflection points at once.This episode of the Tech Field Day News Rundown, recorded live from HPE Discover 2026 in Las Vegas, features Tom Hollingsworth and Alastair Cooke breaking down Anthropic's sudden shutdown of Claude Mythos 5 and Fable 5 following a U.S. export control directive, the growing server memory crisis impacting Dell and HPE, and Apple's surprising partnership with Google Cloud and Nvidia to scale Apple Intelligence. They also examine how digital sovereignty is reshaping global technology acquisitions after the Netherlands blocked Kyndryl's purchase of Solvinity, why community opposition is becoming one of the biggest threats to AI data center expansion, and how “botsitting” is eroding promised enterprise AI productivity gains. Finally, they preview what to expect from HPE Discover 2026, including AI agent infrastructure, GreenLake innovation, autonomous networking, and the future of enterprise AI operations.This and more on the Tech Field Day News Rundown with Tom Hollingsworth and Alastair Cooke.Time Stamps: 0:00 - Cold Open0:29 - Welcome to the Tech Field Day News Rundown1:15 - US Government tells Anthropic to pull Mythos and Fable3:39 - HPE and Dell have different plans for RAM and SSD shortage6:32 - Apple wants enterprise AI10:05 - Dutch Cloud Sovereignty block Kyndryl's aquisition12:37 - Communities don't want AI datacenters in their neighbourhood16:57 - Botsitting is the new middle management, destroying productivity gains19:19 - HPE Discover Announcements25:54 - The Weeks Ahead27:58 - Thanks for WatchingFollow our hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow Tech Field Day ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mastodon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

The memorandum of understanding between the United States and Iran was apparently signed over the weekend, but the text remains a mystery to most. Donald Trump says he'll release it and even read it himself so nobody can misunderstand it. If it's such good news, though, why not put it out right now? Israel isn't a fan of it, nor are those who believe we've abandoned the Iranian people by making a deal with the IRGC. At the same time, there may be a silent majority that cares less about the politics and more about the price at the pump. And that's what caught my attention.Since the beginning of May, with Iran closing the Strait of Hormuz, gas prices in the United States have fallen. Not by a little, but by a lot. The national average has gone from roughly $4.50 a gallon to $3.50. That happened while the strait was closed and before any memorandum of understanding was announced. The White House wasn't bragging about it. They weren't loudly telling Iran that the closure wasn't working. That made me think something else was going on.Politics Politics Politics is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.After digging through it, I've been able to dig up a few explanations. The most public, I'd argue, was the Strategic Petroleum Reserve. The Department of Energy released more than 53 million barrels as part of a broader international effort, bringing the reserve down to its lowest level since 1983. There were also reports that the United States was helping move oil out of the Gulf using some of the same techniques Iran has historically used to evade sanctions. American production remained high. Every hint of a peace deal pushed oil prices lower. Global demand softened. China sharply reduced its purchases on the open market. Alternative routes around Hormuz became more important. Gasoline inventories improved. All of it pushed prices down.If I rank the reasons, peace-talk optimism sits at the top. Strategic reserve releases bought time. American-supported workarounds moved real barrels. Demand destruction, especially with China stepping back, reduced pressure. Improved gasoline inventories helped. Some of the more speculative theories include sanctions waivers for Iranian oil, greater tolerance for shadow-fleet shipments, and alternate export routes making Hormuz less decisive than Iran hoped.What stands out is that there were more American incentives to get to the table than Iranian ones. The Strategic Petroleum Reserve is a temporary band-aid. Smuggling oil out of the Gulf is risky. Every day the Strait of Hormuz remained closed carried economic and military risks. That helps explain why the White House wanted a deal. Iran had incentives too, especially if China was no longer buying at previous levels, but the balance of pressure appears different than many expected.My assumption remains what it has been for weeks: there are multiple power centers inside Iran, and the biggest question is whether any deal can survive them. The Ayatollah is gone, much of Iran's leadership structure has been shattered, and the IRGC itself appears divided between factions willing to make a deal and hardliners who want to keep fighting. The memorandum of understanding may give us a clearer picture when we finally see it. Until then, the biggest question isn't whether a deal exists. It's whether anyone on the Iranian side can actually enforce it.Chapters00:00:00 - Intro00:02:38 - Iran and Gas Prices00:31:47 - Update00:32:04 - UFC 250 Terrorism Plot00:37:46 - Russia-Ukraine00:39:48 - Primaries00:42:48 - Interview with Maria Curi01:11:46 - Wrap-up This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.politicspoliticspolitics.com/subscribe

The U.S. government recently issued an unprecedented export ban on Anthropic's newest artificial intelligence models, Fable 5 and Mythos 5, forcing the company to abruptly terminate access for all customers. This directive stems from national security concerns regarding potential "jailbreaks" that could allow foreign entities to bypass safety protocols and misuse the technology for hazardous purposes. While the White House views the move as essential for protecting American interests, critics argue it threatens U.S. technological leadership and may push global innovation toward open-source alternatives. The incident marks a pivotal shift where frontier AI models are now regulated as strategic geopolitical assets rather than standard software products. Consequently, international organizations are reevaluating their digital sovereignty and the risks of relying on a small number of American-based providers. This unfolding situation highlights the growing tension between the rapid democratization of AI and the rigid constraints of global security policy.

A group made up of dozens of cybersecurity experts urged the White House to remove export control restrictions on Anthropic's models Fable and Mythos, arguing that the order is going to limit the ability of cybersecurity defenders to secure their software and products. Also, Fox says the deal will create the third-largest television company in the United States. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Learn more about your ad choices. Visit megaphone.fm/adchoices

We’re back with a new Insanity Check episode Kriss & Ro are joined by Justin. We ended up switching the main focus of today’s show because of the latest news about the US Government slapping export controls on the latest Anthropic model. A true case of “WTF did you think was going to happen?” Checking in on the resident Spurs fan to see how he’s doing and feeling US Government tells Anthropic it can’t release it’s new model to foreign nationals basically forcing the company to pull access This situation is entirely Anthropic’s fault for going around for months talking about how “dangerous” Mythos was A.I. companies got in bed with the US Government because they thought they could control government officials and get what they want. Instead they’re realizing they just made a deal with loan sharks backed by the mob Not to be left out and showing they’ve learned no lesson, OpenAI is trying to pull the “China is doing it” narrative to explain away why so many people hate data centers Justin hasn’t been following the Cheyenne Bryant debacle and well… Grifters are always going to Grift Guest: Ro & Justin @bookblerd.bsky.social‬ @ljay90.bsky.social   Like what you hear? Subscribe so you don’t miss an episode!   Follow us on BlueSky: @InsanityReport  

This week the headlines are big! First up, more than 400 packages on the AUR have been compromised. Then, the Linux kernel patches a critical ARM CVE from last year. Plus, Linux 7.1 is about to release with FRED and HDMI 2.1. And the US Government has shut down Anthropic Fable and Mythos. The tips are a bit more mellow, with xxd for terminal hex dumps, schroot for secure chroots, and the keyboard shortcuts provided by readline. You can find the show notes at https://bit.ly/3PXQbWA and enjoy! Host: Jonathan Bennett Co-Hosts: Jeff Massie and Ken McDonald Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show 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 Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

What if leadership isn't about having all the answers?What if success isn't determined by outcomes alone?And what if the most important lessons in life are the ones nobody ever teaches you?In this episode of Be All You Can Be MSC, I sit down with recently retired Command Sergeant Major Erano "Buma" Bumanglag, a senior executive and Army leader whose 31-year career spanned Special Operations, Army Medicine, the Pentagon, disaster response, and Joint Task Force–Civil Support under U.S. Northern Command and NORAD.Our conversation explores the realities of leadership at every level from junior Soldiers to senior executives and the life principles that helped shape his journey.We discuss:▪️ Why senior leaders don't have all the answers▪️ Emotional intelligence versus rank▪️ The relationship between officers and senior enlisted leaders▪️ Learning from failure instead of fearing it▪️ Tactical versus strategic leadership▪️ The power of humility and removing ego▪️ Why relationships matter more than credentials▪️ His "4 Fs" philosophy: Faith, Family, Fitness, and Finance▪️ The inspiration behind his book Life Craft Strategies: $h!t You Don't Learn in SchoolOne of my favorite takeaways:"Do the best job you can in the role you have today. Stop chasing the next position and become exceptional where you are."Buma's book is a collection of practical life lessons drawn from decades of leadership experience, self-reflection, and observation. As he describes it, it's about the things we learn through failure, resilience, relationships, and experience—not from a classroom.

This is a recap of the top 10 posts on Hacker News on June 13, 2026. This podcast was generated by wondercraft.ai (00:30): Statement on US government directive to suspend access to Fable 5 and Mythos 5Original post: https://news.ycombinator.com/item?id=48511072&utm_source=wondercraft_ai(01:56): Open source AI must winOriginal post: https://news.ycombinator.com/item?id=48511908&utm_source=wondercraft_ai(03:23): Noise infusion banned from statistical products published by Census BureauOriginal post: https://news.ycombinator.com/item?id=48517377&utm_source=wondercraft_ai(04:50): Every Frame PerfectOriginal post: https://news.ycombinator.com/item?id=48516251&utm_source=wondercraft_ai(06:16): Amazon CEO's talks with U.S. officials triggered crackdown on Anthropic modelsOriginal post: https://news.ycombinator.com/item?id=48519092&utm_source=wondercraft_ai(07:43): Israeli firm BlackCore suspected of meddling in New York and Scotland votesOriginal post: https://news.ycombinator.com/item?id=48514560&utm_source=wondercraft_ai(09:10): Leaving MozillaOriginal post: https://news.ycombinator.com/item?id=48513806&utm_source=wondercraft_ai(10:37): There is a shadow hanging over this Fable thingOriginal post: https://news.ycombinator.com/item?id=48513536&utm_source=wondercraft_ai(12:03): GLM 5.2 Is OutOriginal post: https://news.ycombinator.com/item?id=48518684&utm_source=wondercraft_ai(13:30): Treating pancreatic tumours may have revealed cancer's master switchOriginal post: https://news.ycombinator.com/item?id=48517199&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

This week the headlines are big! First up, more than 400 packages on the AUR have been compromised. Then, the Linux kernel patches a critical ARM CVE from last year. Plus, Linux 7.1 is about to release with FRED and HDMI 2.1. And the US Government has shut down Anthropic Fable and Mythos. The tips are a bit more mellow, with xxd for terminal hex dumps, schroot for secure chroots, and the keyboard shortcuts provided by readline. You can find the show notes at https://bit.ly/3PXQbWA and enjoy! Host: Jonathan Bennett Co-Hosts: Jeff Massie and Ken McDonald Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show 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 Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

In this emergency episode, NLW breaks down the stunning news that the US government has ordered Anthropic to suspend access to Fable 5 and Mythos 5 for foreign nationals, forcing the company to shut the models down for all users. He explores Anthropic's response, the backlash from across the AI world, and why this moment could set a major new precedent for government control over frontier AI.Check out the new ⁠⁠https://aidailybrief.ai/⁠⁠Brought to you by:KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠kpmg.com/us/Sophisticated⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bolt - Claim a free month of Bolt Pro - ⁠⁠⁠⁠⁠⁠⁠⁠https://bolt.new/partner/aidb/⁠⁠⁠⁠⁠⁠⁠⁠Outsystems - Stop wondering how AI will change your business and start building the agents that will lead it - http://outsystems.com/Scrunch - The AI customer experience platform - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://scrunch.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zenflow Work - Agents for knowledge work - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://zenflow.free/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our Newsletter is BACK: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

This is a recap of the top 10 posts on Hacker News on June 12, 2026. This podcast was generated by wondercraft.ai (00:30): Statement on US government directive to suspend access to Fable 5 and Mythos 5Original post: https://news.ycombinator.com/item?id=48511072&utm_source=wondercraft_ai(01:58): AI agent bankrupted their operator while trying to scan DN42Original post: https://news.ycombinator.com/item?id=48500012&utm_source=wondercraft_ai(03:26): CRISPR tech selectively shreds cancer cells, including "undruggable" cancersOriginal post: https://news.ycombinator.com/item?id=48505231&utm_source=wondercraft_ai(04:55): Claude Fable is relentlessly proactiveOriginal post: https://news.ycombinator.com/item?id=48498573&utm_source=wondercraft_ai(06:23): Nobody ever gets credit for fixing problems that never happened (2001) [pdf]Original post: https://news.ycombinator.com/item?id=48498385&utm_source=wondercraft_ai(07:52): Open source AI must winOriginal post: https://news.ycombinator.com/item?id=48511908&utm_source=wondercraft_ai(09:20): Kimi K2.7-Code: open-source coding model with better token efficiencyOriginal post: https://news.ycombinator.com/item?id=48502347&utm_source=wondercraft_ai(10:49): "Don't You Just Upload It to ChatGPT?"Original post: https://news.ycombinator.com/item?id=48507278&utm_source=wondercraft_ai(12:17): Electric motors with no rare earthsOriginal post: https://news.ycombinator.com/item?id=48510010&utm_source=wondercraft_ai(13:46): How to setup a local coding agent on macOSOriginal post: https://news.ycombinator.com/item?id=48507020&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Audio Month Day 13 - Claude AI latest models Fable 5 and Mythos banned by US Government

In this episode, Collin Martin and Liz Ann Sonders focus on the outlook for equities, fixed income, and the overall U.S. economy in the second half of 2026. They begin by discussing recent inflation data, noting that while CPI remains elevated, core inflation came in slightly better than expected. Both agree inflation is not quickly returning to the Fed's target, but easing expectations and stable inflation expectations suggest the Federal Reserve can remain patient for now. The key risk is whether higher prices, especially at the pump, begin to erode consumer spending, as real wages have turned negative year over year. From a policy perspective, Collin expects the Fed to stay on hold through year-end, despite the fed funds futures market pricingin a potential hike. He emphasizes that short-term yields should remain steady, while longer-term Treasury yields may stay elevated due to persistent inflation, heavy Treasury issuance, and global rate pressures. In this environment, he suggests favoring short-to-intermediate bond durations and selectively considering credit risk via investment-grade corporates, high yields, and preferred securities. Liz Ann focuses on the outlook for equity investors, highlighting a shift back to a negative correlation between bond yields and stocks—more characteristic of inflation-driven regimes. Her midyear forecast points to a solid economic backdrop, led by resilient GDP growth, strong capital spending tied to AI, and a healthy labor market, though some early warning signals are emerging in survey-based employment data. The episode closes with a cautious but constructive outlook: no immediate recession signals, but investors should consider prioritizing diversification, risk management, and periodically rebalancing as markets navigate inflation, policy uncertainty, and evolving leadership trends. On Investing is an original podcast from Charles Schwab. For more on the show, visit schwab.com/OnInvesting.  If you enjoy the show, please leave a rating or review on Apple Podcasts. Important Disclosures This material is intended for general informational and educational purposes only. This should not be considered an individualized recommendation or personalized investment advice. The securities, investment products and investment strategies mentioned are not suitable for everyone. Each investor needs to review an investment strategy for his or her own particular situation before making any investment decisions. All expressions of opinion are subject to change without notice in reaction to shifting market, economic or political conditions. Data contained herein from third party providers is obtained from what are considered reliable sources. However, its accuracy, completeness or reliability cannot be guaranteed. Past performance is no guarantee of future results. Investing involves risk, including loss of principal. Performance may be affected by risks associated with non-diversification, including investments in specific countries or sectors. Additional risks may also include, but are not limited to, investments in foreign securities, especially emerging markets, real estate investment trusts (REITs), fixed income, municipal securities including state specific municipal securities, small capitalization securities and commodities. Each individual investor should consider these risks carefully before investing in a particular security or strategy. Fixed income securities are subject to increased loss of principal during periods of rising interest rates. Fixed income investments are subject to various other risks including changes in credit quality, market valuations, liquidity, prepayments, early redemption, corporate events, tax ramifications, and other factors. Lower rated securities are subject to greater credit risk, default risk, and liquidity risk. Treasury Inflation Protected Securities (TIPS) are inflation-linked securities issued by the US Government whose principal value is adjusted periodically in accordance with the rise and fall in the inflation rate. Thus, the dividend amount payable is also impacted by variations in the inflation rate, as it is based upon the principal value of the bond. It may fluctuate up or down. Repayment at maturity is guaranteed by the US Government and may be adjusted for inflation to become the greater of the original face amount at issuance or that face amount plus an adjustment for inflation. Treasury Inflation-Protected Securities are guaranteed by the US Government, but inflation-protected bond funds do not provide such a guarantee. Preferred securities are a type of hybrid investment that share characteristics of both stock and bonds. They are often callable, meaning the issuing company may redeem the security at a certain price after a certain date. Such call features, and the timing of a call, may affect the security's yield. Preferred securities generally have lower credit ratings and a lower claim to assets than the issuer's individual bonds. Like bonds, prices of preferred securities tend to move inversely with interest rates, so their prices may fall during periods of rising interest rates. Investment value will fluctuate, and preferred securities, when sold before maturity, may be worth more or less than original cost. Preferred securities are subject to various other risks including changes in interest rates and credit quality, default risks, market valuations, liquidity, prepayments, early redemption, deferral risk, corporate events, tax ramifications, and other factors. High-yield securities and unrated securities of similar credit quality (junk bonds) are subject to greater levels of credit and liquidity risks and may be more volatile than higher-rated securities. High-yield securities are considered predominately speculative with respect to the issuer's continuing ability to make principal and interest payments. All names and market data shown are for illustrative purposes only and are not a recommendation, offer to sell, or a solicitation of an offer to buy any security. Forecasts contained herein are for illustrative purposes only, may be based upon proprietary research and are developed through analysis of historical public data. The policy analysis provided by Charles Schwab & Co., Inc., does not constitute and should not be interpreted as an endorsement of any political party. Indexes are unmanaged, do not incur management fees, costs, and expenses and cannot be invested in directly. For more information on indexes, please see schwab.com/indexdefinitions Negative correlation refers to investments that tend to move in opposite directions: when one rises, the other falls. A hyperscaler is a large-scale cloud service provider that offers vast computing, storage, and networking resources through a distributed infrastructure of interconnected servers and software. (0626-WG7N)   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The government promised UAP files every two weeks. They didn't come. Then David Grusch walked up the Capitol steps yesterday and said the US Government is aware of a continuum of life - from biological to what he would consider sentient plasma. The foolish fire was always alive.Call in live during the show: 702-857-6939Full archive of 1,100+ episodes: troubledminds.org

Security measures and ticket prices for this year's FIFA World Cup may be dampening the spirit of the event. The expanded tournament features 48 teams and is being hosted across Canada, Mexico, and the United States. But the combined paranoia of FIFA and the US Government has resulted in intense security – NZ Herald Sport Journalist Michael Burgess describing it as “way over the top”. The tournament has also been mired by high ticket prices, with resale tickets being sold for thousands of dollars, and tickets for the finals costing over $15 thousand dollars. Burgess told Heather du Plessis-Allan that it will still be a great tournament – the stadiums will be pretty full, and it'll look great on television. But he says what FIFA and the United States have done has taken the heart and soul out of what's normally a celebration of sport, football, and the international community. LISTEN ABOVE See omnystudio.com/listener for privacy information.

Starve the Beast The world is crazy - full of poop reports, studies on how governments can save money by killing citizens, and sky-high valuations in the stock market. It's wonderful to hear good news in times like this, where there is someone willing to sue Google and US Government for censorship and defamation or where Rep Anna Paulina Luna is trying to prevent more lobbying for foreign governments' best interests. Today we talk about the positive and negative stories happening around the world. The beast that wants to control us believes they will never be held accountable for their actions. The pentagon has failed its 8th consecutive audit, but there is no punishment for them. Those from the Epstein list that hurt children have not been punished yet. If we don't like the actions of the beast, the best thing we can do is to starve the beast. Government Economics of Expanding Canada's Medical Assistance in Dying to Vulnerable Populations and the Ethical Implications of Allowing the State to Control Death Abolish Property Taxes in Ohio: www.AxOHTax.com  Get more information about abolishing all property taxes in Ohio. https://citizensforpropertytaxreform.org/ Our Links: www.RealPowerFamily.com Info@RealPowerFamily.com

Hour 3 of the Chris Hand Show | Aired Tuesday 06-09-36See omnystudio.com/listener for privacy information.

Welcome to The Daily Wrap Up, an in-depth investigatory show dedicated to bringing you the most relevant independent news, as we see it, from the last 24 hours (6/7/26). As always, take the information discussed in the video below and research it for yourself, and come to your own conclusions. Anyone telling you what the truth is, or claiming they have the answer, is likely leading you astray, for one reason or another. Stay Vigilant. !function(r,u,m,b,l,e){r._Rumble=b,r[b]||(r[b]=function(){(r[b]._=r[b]._||[]).push(arguments);if(r[b]._.length==1){l=u.createElement(m),e=u.getElementsByTagName(m)[0],l.async=1,l.src="https://rumble.com/embedJS/u2q643"+(arguments[1].video?'.'+arguments[1].video:'')+"/?url="+encodeURIComponent(location.href)+"&args="+encodeURIComponent(JSON.stringify([].slice.apply(arguments))),e.parentNode.insertBefore(l,e)}})}(window, document, "script", "Rumble");   Rumble("play", {"video":"v78ruz8","div":"rumble_v78ruz8"}); Source Links (In Chronological Order): Do financial incentives linked to ownership of specialty hospitals affect physicians' practice patterns? - PubMed Do Physicians' Financial Incentives Affect Medical Treatment and Patient Health? - PMC Association Between Reimbursement Incentives and Physician Practice in Oncology A Systematic Review - PMC The Case Against Fee-for-Service Health Care | Third Way Johns Hopkins study suggests medical errors are third-leading cause of death in U.S. | Hub Study Suggests Medical Errors Now Third Leading Cause of Death in the U.S. - 05/03/2016 Medical error—the third leading cause of death in the US | The BMJ FastStats - Leading Causes of Death Report Highlights Public Health Impact of Serious Harms From Diagnostic Error in U.S. | Johns Hopkins Medicine New Tab (21) The Last American Vagabond on X: "One can only imagine the outrage if this were posted when Jack was “in control”. #Orwellian #TwoPartyIllusion #Hypocrisy #FreeSpeech" / X (21) Samar D Jarrah on X: "@elonmusk @CommunityNotes even yours?" / X (21) The Last American Vagabond on X: "@Zigmanfreud @elonmusk @CommunityNotes Exactly the point. https://t.co/gmNwjUjMMT" / X (21) Concerned Citizen on X: "

The most dangerous liar is the one who believes their own lies. That's how he won a $300M government contract.Morgan sits down with David Packouz, the real-life arms dealer behind the movie War Dogs, to reveal what Hollywood got right, what it exaggerated, and the truth behind the $300M U.S. government contract.Listen to the full episode here → https://open.spotify.com/episode/6IiZcRRBrNn4VEay8gLofP?si=_Klh9131QRCfEFIG2oTt_gDreamfest Registration

President Trump signed an executive order this week that “voluntarily” invites AI makers to share their most advanced models with the government thirty days before a wider release. Specifically, the NSA will be reviewing these models for cybersecurity threats. So what's this executive order mean for AI regulation? How voluntary is this really? Do we want the NSA involved? And what other forms of review may come next? And, related: NOTUS reports that federal officials are in talks with Sam Altman and other AI leaders about the US government stock in these companies. This comes as Sen. Bernie Sanders on the left and Steve Bannon on the right are both calling for the government to own 50% of the AI companies, with the American people getting dividends. So, should the government be regulating AI? Should it own AI? And should it both regulate and own AI? It's strange bedfellows all around…Kwaku and I get into on the latest FAFO Friday. Plus, we explore the concept of “cognitive uploading,” which Google NotebookLM's co-founder Steven Johnson divined in this week's interview (and subsequently blogged about). As we work with AI, we need to draw lines on what we will task it with and what we won't. And the lines are all over the place right now, which is a perfect jumping off point to future around and find out… ---Future Around & Find Out newsletter and more: https://www.futurearound.comMusic by Jonathan Zalben

-OpenAI has said that it will comply with the order and allow regulators to assess its models' capabilities before they're released to the public. -Google seems to be mulling the idea of giving you the option to go straight to AI Mode when you do search queries. -Anthropic says AI is developing so fast, the trend points towards systems becoming capable of developing their own successor. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In one of the deepest and most involved episodes of Unidentified History to date, we take an extensive dive into the Department of War's UFO File drops to try and answer the question on everyone's minds: Is Disclosure imminent, or are we just being massively trolled? This dive is so deep that we had to split it into two parts. In part two, Dave comes back to give an update of sorts as rumors began to swirl that an executive order equivalent to catastrophic disclosure was inbound. All of it left the guys with the distinct impression that what we are dealing with is not catastrophic disclosure, but a form of controlled distrollsure. All that, plus we look at some trailers for some promising upcoming UAP documentaries. Once thought to be solely the stuff of science fiction, UAPs (UFOs) are very real to thousands around the world. In 2021, the US Government confirmed that leaked UAP video was legitimate. Ever since, there has been an explosion of interest in the topic. Yet, we are no closer to understanding UAPs, where they come from, or who/what is behind the phenomenon. In this series, we look to bridge the gap between the past and present by looking at some of the most important UAP sightings in history and determining whether the question of "are we alone in the universe?" might have already been answered.Chairshot Radio NetworkLaunched in 2017, the Chairshot Radio Network presents you with the best in sports, entertainment, and sports entertainment. Wrestling and wrestling crossover podcasts + the most interesting content + the most engaging hosts = the most entertaining podcasts you'll find! MONDAY - Bandwagon Nerds (entertainment & popular culture)TUESDAY - 4 Corners Podcast (sports)WEDNESDAY - The Greg DeMarco Show (wrestling) THURSDAY - Nefarious MeansFRIDAY - DWI Podcast (Drunk Wrestling Intellect)SATURDAY - The Mindless Wrestling PodcastSUNDAY - 30 Mindless MinutesCHAIRSHOT RADIO NETWORK PODCAST SPECIALSAttitude Of Aggression Podcast: The Big Five Project (chronologically exploring WWE's PPV/PLE history) Unidentified History (Ufology) & Game Gone Wrong (Game of Thrones Universe)Chairshot Radio Network Launched in 2017, the Chairshot Radio Network presents you with the best in sports, entertainment, and sports entertainment. Wrestling and wrestling crossover podcasts + the most interesting content + the most engaging hosts = the most entertaining podcasts you'll find! MONDAY - Bandwagon Nerds (entertainment & popular culture) TUESDAY - 4 Corners Podcast (sports) WEDNESDAY - The Greg DeMarco Show (wrestling) THURSDAY - Nefarious Means FRIDAY - DWI Podcast (Drunk Wrestling Intellect) SATURDAY - The Mindless Wrestling Podcast SUNDAY - 30 Mindless Minutes CHAIRSHOT RADIO NETWORK PODCAST SPECIALS Attitude Of Aggression Podcast: The Big Five Project (chronologically exploring WWE's PPV/PLE history), Unidentified History (Ufology), & Game Gone Wrong (Game of Thrones Universe) Chairshot Radio Network Your home for the hardest hitting podcasts... Sports, Entertainment and Sports Entertainment! All Shows On DemandAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

LONDON LIVE SHOW⁠⁠⁠ https://www.tickettailor.com/events/cheerfulearful/2084541 On the 8th of May 2026 just a few weeks ago something very strange happened. The US department of defence set up a public website containing over 100 never before seen documents, videos, and images of UFO sightings — breaking a policy of silence about UFOs and aliens that has lasted almost 80 years. Inside those files are some of the most shocking evidence of UFOs ever seen. But not only that, the pentagon says this is only the beginning, there are more files coming next month, and the month after that. But what do those videos show? Where is this trail of evidence leading? Time for Kit and Rory to investigate! Become a commune member to get access to bonus episodes: ⁠https://thisparanormallife.com⁠ Follow us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our Secret Society Facebook Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Buy Official TPL Merch!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Edited by Philip Shacklady Researched by ⁠Ewen Friers Learn more about your ad choices. Visit podcastchoices.com/adchoices

Welcome back to Manga review racing. Where we track the fastest manga reviewers. As this is the off season they're going to talk about movies. Turning around we have something about pilots, planes, and a scowling Clint Eastwood. That's right, a movie you've never heard of, Firefox(1982). Clint Eastwood is a retired pilot who fought in Vietnam. The US Government wants to drag him back in because the Soviets have a plane. This super secret plane has a neural interface and the test pilot is the same size as Clint. Ignoring that a man who is six feet four inches almost certainly wouldn't be a test pilot back in the … Continue reading "Popcorn Pulse 264: Fire Emperor"

This week on Hashtag History, we will be discussing the second part of the Watergate Scandal. In last week's episode, we left off with the White House Plumbers that Nixon had recruited to serve as his secret task force to stop any potential leaks—not actual plumbing leaks, but leaks like the 7,000 pages of Pentagon Papers that exposed just how much the US Government had been lying to the American people about our involvement in the Vietnam War. Where we left off with last week's episode was Nixon getting increasingly paranoid about being exposed, about perhaps not getting re-elected to the presidency, and about damaging his reputation. And so he became hell-bent and willing to go to extreme lengths to ensure that did not happen.In this week's episode, we are officially going to be discussing Watergate: the details of the actual operation to wiretap the Democratic National Committee's headquarters, the investigative journalism that exposed this all, the cover up, the federal investigations, the Supreme Court's involvement, and then, of course, talks of impeachment and Nixon's official resignation…the only president in American history to ever resign….because you can do that.Follow Hashtag History on Instagram @hashtaghistory_podcast for all of the pictures mentioned in this episode.Citations for all sources can be located on our website at www.HashtagHistory-Pod.com. You can also check out our website for super cute merch!You can now sponsor a cocktail and get a shout-out on air! Just head to www.buymeacoffee.com/hashtaghistory or head to the Support tab on our website!You can locate us on www.Patreon.com/hashtaghistory where you can donate $1 a month to our Books and Booze Supply. All of your support goes a long ways and we are endlessly grateful! To show our gratitude, all Patreon Supporters receive an automatic 15% OFF all merchandise in our merchandise store, a shoutout on social media, and stickers!THANKS FOR LISTENING!- Rachel and LeahEditor: Alex PerezCopyright: The Hashtag History Podcast

This week we discuss the UFO files being released by the US Government. Enjoy! (TWT 203)Factor: Head to http://factormeals.com/wild50off and use code wild50off to get 50% off and free daily greens per box.Surf Shark: Go to http://surfshark.com/WILDTIMES or use code WILDTIMES at checkout to get 4 extra months of Surfshark VPN.Goodr: Head to https://goodr.com/wild to claim $10 off your first orderGet More Wild Times Podcast Episodes:⁠https://podcasters.spotify.com/pod/show/wildtimespod/subscribe⁠⁠https://www.patreon.com/wildtimespod⁠More Wild Times:Instagram: ⁠http://instagram.com/wildtimespod⁠TikTok: ⁠https://www.tiktok.com/@wildtimespodcast⁠Facebook: ⁠https://www.facebook.com/wildtimespod/⁠X:⁠ https://x.com/wildtimespod⁠Discord: ⁠https://discord.gg/ytzKBbC9Db⁠Website:⁠ https://wildtimes.club/⁠Merch: ⁠https://thewildtimespodcast.com/merch⁠Battle Royale Card Game: ⁠https://wildtimes.club/br⁠Our Favorite Products:⁠https://www.amazon.com/shop/thewildtimespodcast⁠Music/Jingles by: www.soundcloud.com/mimmkeyThis video may contain paid promotion.#ad #sponsored #forrestgalante #extinctoralive #podcast

We are just as confused as you are... What is Google doing with all these mosquitoes? Well it seems like there was actual research done before the proposal to the US Government was made that may make our summers a little more enjoyable. We sent Jaime out to the bars this weekend to talk to the drunkest people he could find and ask them basic trivia questions so we can play our favorite drinking game, Bombed at the Beach! There are so many TV characters that we have fallen in love with over time, so much that we can't even see any other actor playing that character. Well we found a list of characters that were almost played by someone else, and Thor spoils a major character... twice...See omnystudio.com/listener for privacy information.

Get the free Core Drives in the Wild guide and see behavioral design applied to real products and services: professorgame.com/WildCD Episode Summary Eleanor Ross, Creative Director at Expert Theory and one of the youngest recipients of the National Training and Simulation Association's Top Under 40 award, breaks down how she designs wargames and simulations that put learners inside high stakes decisions instead of watching from the outside. She walks through the moment a Team USA group tried to buy Greenland mid game, the Logic, Function, Form framework she uses to build every simulation, and a year long Taiwan resilience exercise she ran for the Irregular Warfare Center. Listeners come away with two best practices that make any simulation stick, a debrief discipline and deliberate role reversal, plus a clear view of how AI tools now let a team produce news articles and role player materials in under ten minutes. Ross also makes the case that heavy topics like terrorism, invasion, and irregular warfare land harder when they are engaging, and that good design starts by deciding what people should feel when they walk out. About the Host Rob Alvarez is Head of Engagement Strategy, Europe at The Octalysis Group (TOG), a leading gamification and behavioral design consultancy. A globally recognized gamification strategist and TEDx speaker, he founded and hosts Professor Game, the #1 gamification podcast, and has interviewed hundreds of global experts. He designs evidence-based engagement systems that drive motivation, loyalty, and results, and teaches LEGO® SERIOUS PLAY® and gamification at top institutions including IE Business School, EFMD, and EBS University across Europe, the Americas, and Asia. Key Takeaways In an early Arctic simulation run as an alpha test for the Canadian Department of National Defense, a Team USA group went off script and tried to buy Greenland, a move no one had prepared for, which forced Ross to build the response live. Ross and her team at Expert Theory adjudicated that unplanned move and used their AI backend to produce news articles, tweets, and formatted materials for a role player in under ten minutes, a turnaround the wargaming community historically treated as impossible. Her Logic, Function, Form framework stacks design like a pyramid: Logic defines what players should know and feel on the way out, Function defines the actors and goals that get them there, and Form covers constraints like the 30 or 90 minute time box. A quality debrief is the most important best practice in simulation design, because the takeaways people carry out are set up by the structured discussion, not by the game itself. Putting participants in roles they would never hold, such as US military officers playing the Somali government or the US embassy in a Fort Bragg deployment game, forces the perspective shift that makes the lesson land. Ross builds her design philosophy on Rutger Bregman's Humankind and its claim that people are inherently good, using games to surface the nuances behind how opposing sides actually see themselves. Topics Covered 0:00 - A wargamer who hates video games 2:59 - Inside a wargame designer's week 4:18 - When Team USA tried buying Greenland 7:45 - Why failure is a junior mindset 13:02 - A Taiwan resilience wargame for DOD 17:26 - The Logic, Function, Form framework 20:34 - Best practices: debrief and role reversal 24:30 - The books behind her design philosophy 26:33 - Perspective taking through languages 29:27 - Making heavy topics engaging 31:12 - Her favorite game: Votes for Women 33:01 - Building games in six minutes with Providence Get the free Core Drives in the Wild guide and see behavioral design applied to real products and services: professorgame.com/WildCD About Eleanor Ross Eleanor Ross is Creative Director at Expert Theory, an AI powered simulation startup building immersive learning experiences for clients including the U.S. Department of Defense, Johns Hopkins, Duke, Georgetown, and Penn State. She designs and facilitates simulations that restore agency to learners by placing them inside complex, high stakes decisions, and her co-authored research with the National Counterterrorism Innovation, Technology and Education Center has shown that simulations measurably deepen learning while strengthening confidence, teamwork, and decision making. She chairs programming for the Women's Wargaming Network and is one of the youngest ever recipients of the National Training and Simulation Association's Top Under 40 award. Her work focuses on the Arctic and high north, irregular and gray zone warfare, and leadership. Find the Guest Online Expert Theory (website) Eleanor Ross on LinkedIn Expert Theory on LinkedIn Mentioned in This Episode The Art of Wargaming by Peter Perla Humankind by Rutger Bregman Votes for Women, Eleanor's favorite game (by Fort Circle Games) Proposed future guest: Yuna Wong Proposed future guest: John Curry Providence, Expert Theory's platform for building games in minutes Free Resources and Get in Touch Core Drives in the Wild: Professor Game Free Guide Get Daily Value on Your Email Let's chat about your gamification project YouTube LinkedIn Instagram Facebook Start Your Community on Skool for Free Ask a question

We are just as confused as you are... What is Google doing with all these mosquitoes? Well it seems like there was actual research done before the proposal to the US Government was made that may make our summers a little more enjoyable. We sent Jaime out to the bars this weekend to talk to the drunkest people he could find and ask them basic trivia questions so we can play our favorite drinking game, Bombed at the Beach! There are so many TV characters that we have fallen in love with over time, so much that we can't even see any other actor playing that character. Well we found a list of characters that were almost played by someone else, and Thor spoils a major character... twice...See omnystudio.com/listener for privacy information.

Darkness Radio presents:  Disclosure or Deception: Alien Files, Moon Landings, Mars Trips, and More with Researcher/Filmmaker/Author, Mike Ricksecker!!As of yesterday, the US Government had dropped a second batch of Alien Files to almost zero fanfare. The slow "rollout" of disclosure is underway, but is it what everyone is looking for? Is it nothing but a smokescreen, covering up other things going on in the government, or is there a method to this madness and a plan to tell us everything? Mike Ricksecker is in today to discuss the new files, the first release, the quick advances in the space program, and how it ties in with the missing and dead scientists, and more!Get your copy of "Portals to the Stars..." here:   https://bit.ly/497PS0rCheck out Mike's podcast here:  https://www.mikericksecker.com/podcasts/Go on tour with Mike to Egypt and beyond!  https://www.mikericksecker.com/events-tours/There are new and different (and really cool) items all the time in the Darkness Radio Online store at our website! Check out the Darkness Radio Store!   https://www.darknessradioshow.com/store/Make sure you update your Darkness Radio Apple Apps!and subscribe to the Darkness Radio YouTube page:  https://www.youtube.com/@DRTimDennis#paranormal  #supernatural  #metaphysical  #paranormalpodcasts  #darknessradio  #timdennis #mikericksecker #portalstothestars #Aliens  #UFO #UAP #Extraterrestrials  #Alienspaceships  #disclosure #wormholes  #portals #stargates #ancientegypt #pyramids #greatpyramid #thesphinx #missiontomars #artemis2mission #NASA #spacex #blueorigin #timburchett  #laurenboebert #jdvance  #demons  #conspiracytheory