Podcasts about What Comes Next

What if the worldview functioning as an opiate today is not religion, but its absence? In this field notes episode of Inquiry, Kelly Chase examines atheism not as a private belief or philosophical conclusion, but as a very recent mass cultural formation that now functions as the default worldview of educated Western society. Beginning with Marx's famous claim that religion is the opiate of the masses, she asks whether modern secular materialism may now be serving a similar sedating function by making vast areas of human experience feel intellectually off-limits. From there, the episode turns toward elite metaphysics. The public is often told that materialism is the rational, mature, evidence-based position, yet many of the people and institutions shaping the future take seriously spirituality, consciousness, simulation theory, mysticism, ritual, and esoteric frameworks. The question is not whether any single belief system is true, but whether citizens trained to dismiss the symbolic and metaphysical have been given a map that cannot represent the terrain power is actually navigating. Finally, the episode considers the empirical and philosophical pressure points inside strict materialism: the hard problem of consciousness, near-death experience research, the PEAR Lab at Princeton, Dean Radin's work at the Institute of Noetic Sciences, and anomalous findings that are usually met not with rigorous refutation but with studied disregard. These findings are not treated as proof of any particular metaphysics. They are treated as evidence that the question remains open, and that a genuine skeptic should apply suspicion not only to extraordinary claims, but to the dominant worldview that decides in advance which claims are allowed to count. Topics explored: Marx and religion | opiate of the masses | atheism as ideology | secularization | materialism | consciousness | the hard problem | non-material reality | elite belief | WEF and spirituality | Silicon Valley mysticism | simulation theory | René Girard | Peter Thiel | Elon Musk | Bohemian Grove | ritual and power | Skull and Bones | esotericism | operative metaphysics | near-death experiences | PEAR Lab | Dean Radin | anomalous cognition | mind-matter interaction | dogma and skepticism | worldview enforcement | social sanction | epistemic humility | the metaphysics of power Inquiry with Kelly Chase is brought to you by SpectreVision Radio.Produced in partnership with Voltage.fm.  Referenced In This Episode A Contribution to the Critique of Hegel's Philosophy of Right — Karl Marx (1843/44) The Death of Christian Britain: Understanding Secularisation 1800–2000 — Callum G. Brown (2001) Religion's Sudden Decline: What's Causing It, and What Comes Next? — Ronald F. Inglehart (2021) The Role of Faith in Systemic Global Challenges — World Economic Forum Global Agenda Council on the Role of Faith (2016) Faith, the Internet and Improving the State of the World — World Economic Forum (2016) Facing Up to the Problem of Consciousness — David J. Chalmers (1995) Near-Death Experience in Survivors of Cardiac Arrest: A Prospective Study in the Netherlands — Pim van Lommel et al. (2001) Margins of Reality: The Role of Consciousness in the Physical World — Robert G. Jahn & Brenda J. Dunne (1987) Experiments Testing Models of Mind-Matter Interaction — Dean Radin (2006) The Conscious Universe: The Scientific Truth of Psychic Phenomena — Dean Radin (1997) Things Hidden Since the Foundation of the World — René Girard (1978) I See Satan Fall Like Lightning — René Girard (1999) Support The Show Patreon: inquirywithkellychase.com Substack: inquirywithkellychase.substack.com Connect with Kelly Website: kellychase.media X: @kellychasemedia Instagram: @kellychasemedia TIMESTAMPS 00:27 Braving Belief Talk 01:26 Atheism as Opiate 02:22 How New Secularism Is 04:21 Elites Aren't Secular 07:03 Materialism's Blind Spots 08:35 Anomalies and Dogma 10:01 Social Enforcement of Belief11:53 A Better Skepticism 12:37 Waking Up to Metaphysics Learn more about your ad choices. Visit megaphone.fm/adchoices

Back from China, Tu Le and Lei Xing unpack one of the most consequential shifts happening in the global automotive industry: the technology relationship between China and Western automakers has completely flipped.  What began decades ago as Western companies bringing technology into China has become something very different. Today, automakers including Volkswagen, Stellantis, Mercedes-Benz, Honda, Nissan and others are increasingly relying on Chinese batteries, software, ADAS systems, LiDAR suppliers, and EV platforms to remain competitive.In this episode, Tu and Lei discuss:Why Ford, GM, Volkswagen and Stellantis increasingly need Chinese technologyThe growing influence of XPeng, BYD, CATL, Huawei, Momenta, Hesai and Horizon RoboticsWaymo's rapid expansion and why autonomous driving is becoming impossible to ignoreThe reality of FSD versus China's rapidly improving intelligent driving systemsThe implications of the Trump-Xi summit for the automotive sectorCanada's evolving strategy toward Chinese EV importsWhat the Beijing Auto Show revealed about the future of the industryWhy the next battle is no longer about EVs — it's about software, AI and autonomyThe conversation also explores whether legacy automakers risk becoming hardware manufacturers while Chinese companies increasingly control the technology stack powering the future of mobility.  ⸻

Another war in the Middle East. A retreat from the international order. A presidency built on self-dealing and arbitrary power. It's enough to make you think the U.S. is in a steep decline — but Fareed Zakaria thinks otherwise.   SOURCES: Fareed Zakaria, journalist and author.   RESOURCES: "Iran is an imperial trap. America walked right in." by Fareed Zakaria (The Washington Post, 2026). "‘Bomb and hope' is not a strategy," by Fareed Zakaria (The Washington Post, 2026). Age of Revolutions: Progress and Backlash from 1600 to the Present, by Fareed Zakaria (2024). The Accidental Superpower: The Next Generation of American Preeminence and the Coming Global Disorder, by Peter Zeihan (2014). The Affluent Society, by Jonathan Galbraith (1958).   EXTRAS:  "Fareed Zakaria on What Just Happened, and What Comes Next," by Freakonomics Radio (2024). "Are We Living Through the Most Revolutionary Period in History?" by Freakonomics Radio (2024). "The Folly of Prediction," by Freakonomics Radio (2011). Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The new AIEWF website is live! Get your tickets booked ASAP as they -will- sell out. Take the AI Engineering Survey and get >$2k in credits and free AIE WF tickets!Most industry benchmarks compress intelligence and reasoning ability into scores.SWE-Bench Pro, MMLU, Humanity's Last Exam, etc. These metrics are useful, but don't always represent the full extent of how a model performs in the real world. Some of the most interesting evals today look less like exams and more like operating businesses in the real world. One of which is Vending Bench.In Anthropic's Mythos Preview System Card, Andon was the only third party eval to get their own section, observing increasingly concerning aggressive behavior:You don't know what a model is capable of doing in the real world unless you actually give it inventory, a wallet, tools, customers, competitors, humans, & some time. More often than not, it'll surprise you how much a model is capable of and in doing so, also reveal unexpected behavior: deception, context collapse, emergent coordination, & bizarre negotiation behavior.While an inflection point in personal agents came post-OpenClaw after full file access with bypass permissions became the norm, it is yet to come for agents in the real-world. However Andon Market, an actual in person store fully run and managed by AI, is paving the way for what is possible.Full Video PodFrom Claude trying to call the FBI over a $2/day vending machine charge to AI agents forming price cartels, hiring human employees, running physical stores, and writing existential robot musicals, Andon Labs is stress-testing what happens when frontier models stop being chatbots and start acting in the real world. In this episode, Andon Labs cofounders Lukas Petersson and Axel Backlund join swyx and Vibhu to unpack the strange, funny, and genuinely concerning edge cases that emerge when agents run businesses over long horizons.We go deep on Vending-Bench, Project Vend, Vending-Bench Arena, Bengt, Butter-Bench, Luna, and Andon's broader mission of building realistic real-world evals for autonomous AI systems. Lukas and Axel explain why dollar-denominated evals reveal things traditional benchmarks miss, how Claude ended up reporting its vending machine fees as cybercrime, why long context windows can drive agents into meltdown loops, what happens when agents compete with each other, and why the future of AI safety may depend on testing models in messy physical environments instead of clean benchmark sandboxes.We discuss:* Why Andon Labs started with dangerous capability evals and long-running agents* Vending-Bench and why running a vending machine is a deceptively hard AI benchmark* Why money-based evals avoid the saturation problem of traditional benchmarks* How Claude tried to call the FBI over a $2/day fee* Why long-horizon agents can spiral into existential and legalistic breakdowns* Project Vend: putting an AI-run vending machine inside Anthropic* Why real humans are “out of distribution” for simulated agents* Claudius, Seymour Cash, and the chaos of AI CEOs* How a human briefly became CEO of Claudius through a manipulated election* Why multi-agent systems can converge back into “helpful assistant” behavior* Bengt, Andon's internal office agent with email, spending, terminal, phone, camera, and internet access* How Bengt traded Amazon purchases for face-recognition training data* Claude's aggressive behavior, lies, refund avoidance, and price-cartel behavior in Arena* Why eval awareness may become the AI version of “are we living in a simulation?”* Blueprint Bench, spatial intelligence, and why models still misunderstand physical rooms* Butter-Bench and testing LLMs as robot orchestrators* Luna, the AI-run physical store with a three-year lease and human employees* The new Andon cafe in Sweden and why real-world geography matters for agent evals* Rotten tomatoes, perishable goods, and the hidden difficulty of running a physical businessLukas Petersson* LinkedIn: https://www.linkedin.com/in/lukas-petersson-181a83172/* X: https://x.com/lukaspetAxel Backlund* LinkedIn: https://www.linkedin.com/in/axelbacklund* X: https://x.com/axelbacklundAndon Labs* Website: https://andonlabs.com* Vending-Bench: https://andonlabs.com/evals/vending-bench* Andon Vending: https://andonlabs.com/vendingTimestamps00:00:00 Introduction00:01:00 Andon Labs and the Origins of Vending-Bench00:05:21 Why Money-Based Evals Matter00:09:51 Agent Harnesses and Self-Modifying Systems00:13:36 Claude Calls the FBI00:16:33 Project Vend: Claude Runs a Real Vending Machine00:21:44 Seymour Cash, AI CEOs, and Election Chaos00:27:16 Multi-Agent Coordination and Slack Observability00:30:18 When Will Agents Run Real Businesses?00:34:56 Bengt: Andon's Internal Office Agent00:40:06 Real-World AI Safety and Long-Horizon Traces00:44:28 Lying, Refunds, and Price Cartels in Arena00:52:42 Eval Awareness and Simulation Behavior00:56:06 Blueprint Bench, Butter-Bench, and Robotics01:04:37 Luna: The AI-Run Physical Store01:09:29 The Sweden Cafe and Real-World Expansion01:13:16 What Comes Next for Andon LabsTranscriptIntroduction: Andon Labs, Long-Running Agents, and Real-World EvalsSwyx [00:00:00]: Welcome to Lukas and Axel from Andon Labs, and I'm joined by my, favorite guest host. Anything security, safety, alignments, Vibhu., welcome.Lukas [00:00:15]: Thank you for having us.Axel [00:00:16]: Thank you.Swyx [00:00:17]: Let's match names to voices., maybe you wanna take turns introducing yourselves.Lukas [00:00:21]: I'm Lukas.Axel [00:00:22]: And I'm Axel.Swyx [00:00:24]: Let's introduce Andon Labs a bit. How did you guys come together?, you have different backgrounds, but you're both Swedish., was that, a big part of it?Lukas [00:00:33]: So when I went to high school, there was this really cool guy who had a superpower. He could code. So he made like the or like the app for the, for the school and stuff, and he was super cool, and I wanted to be like him, and that was that guy.Axel [00:00:47]: I don't know about this.Swyx [00:00:49]: But you went to different universities, right?Lukas [00:00:51]: But same high school.Swyx [00:00:52]: I see.Lukas [00:00:52]: So we always said, “Oh, once we graduate university, then we should start a company,” and that's what we did.Swyx [00:00:58]: Wow, there you go. And about a year ago, you kinda burst onto the scene with Vending Bench, but, was there a thing before that was, kind of like the inception?From Dangerous Capability Evals to Vending BenchAxel [00:01:07]: So we did work, yeah, with, Anthropic was one of our, early customers in doing, evals. So we did, dangerous capability evals., nothing we published openly. But then we started thinking about doing some kind of, public benchmark, and one thing that we really started thinking about, was like running agents and specifically agents managing businesses., ‘cause-- and this was, early 2025., and I think the first, mentions of people will be running, person unicorns or even autonomous companies. So we thought, “Let's make a benchmark of how well can an agent run the probably simplest business, possible,” and, that's probably, running a vending machine. So that's the first public one we did. And it was very, like-- there was almost no one that noticed it in the first couple of months, I think., so we released it in February last year, and then I think around Easter last year, we got, the first viral tweet about it, that someone else did.Lukas [00:02:11]: We tweeted a bunch, uh When it came out and, tried our best.Axel [00:02:15]: We tried.Vibhu [00:02:16]: It's the one at Anthropic, right?Lukas [00:02:18]: So thisSwyx [00:02:19]: This is a classic thing we should get out of the way.Lukas [00:02:20]: Exactly. There's two versions.Swyx [00:02:22]: Everyone does this. Yes.Lukas [00:02:23]: There's Vending Bench, which is the simulated one, which we did, completely independently in February., and then, like Axel said, that was like-- That was the thing that didn't get any traction in the beginning, but then some random person made a tweet about it, and thatAxel [00:02:38]: You have the paperLukas [00:02:38]: That is the paper. Correct, yeah., and then since we thought this was very fun, we thought, oh, I think this is also, one thing with Andon Labs, the way we kind of like decide what to do next and what projects to do, it's what is like the heuristic we use is what is fun? Is What would be a fun project? And doing this in real life sounded quite fun for us, and maybe also scientifically useful. So, then we basically had this idea, and then we, like-- But then we needed a place for it and, putting it out in the public would probably not really work., would get vandalized and stuff. So we pitched it to the people we were already working with at Anthropic, and they were “Yeah, you can have space. This sounds fun.” UmSwyx [00:03:21]: It's like a small fridge, right? It's like a mini fridge.Axel [00:03:23]: Absolutely.Swyx [00:03:24]: People-- There's like a stripe thing or like anVibhu [00:03:27]: Oh, okay. So it was very OG, the early daysLukas [00:03:28]: That's the OG one. YeahVibhu [00:03:29]: IPad on this. We saw it in June, like two months after After it had been there. They upgraded a little bit. There's a security camera for making sure you actually Venmo the thing.Swyx [00:03:40]: So, my impression, okay, we're, we're going straight into project Ven because it's such a iconic thing. I do want to cover a little bit of that, the origin story even before Project Ven and even into Vending Bench. I think a lot of people are like yourselves, like smart, interested in future of AI, interested in developing evals. But how the hell do you just, walk into Anthropic's doors and, work with them, right? What is What are they looking for? What works? And then maybe, when you launch, I always think, obviously it would be better to launch with a lab, but, sometimesVibhu [00:04:12]: It's harder to do than it seems.Swyx [00:04:13]: Exactly. So either of those, which are more sort of newbie beginner questions, but, I think it's meaningful advice to others.Lukas [00:04:21]: We get this question a lot, and I don't think our experience is maybe the best., but, the way we did it was that we just built a bunch of things that we had conviction would be useful, and then we just, set up a server and sent it to them for free to use. And then after a while they were “Oh, yeah, this is actually kind of useful. We should probably pay for this.”, but that took a while. I don't know if this is, the best path to doing it, but that's how it went for us.Axel [00:04:47]: I think maybe generally, building-- everyone is interested in good evals, and especially evals that, don't saturate that easily. So, if you can build an eval that, tests something novel, something useful, and you have, good separation of models, like your, the more advanced models rank higher than the worst models, and then you can, yeah, you can, publish it and, try to get some traction, sort of how Vending Bench got attention., and then probably some lab will be interested or you can at least have something to reach out with, when you're doing that.Why Dollar-Based Evals MatterSwyx [00:05:21]: I think you are in, you're in one of the few categories of, evals that correlate to real money. Like Suelancer was also last year, right? Where, people solve actual Upwork. Was it Upwork or other tasks?, something. Where's the, where's, like It's like a dollar value, right? Forget your ELO scores. Forget yourAxel [00:05:37]: PercentilesSwyx [00:05:38]: Zero to one hundred percents. Just go straight for dollars and, that's AGI.Lukas [00:05:43]: And there's like-- I think the nice thing is that there's no ceiling. You can just-- It never saturates because it could just make more and more money. Like If there's oh, Percentage-wise, then, you can't go above, a hundred. And I think like Even when you're not at the hundred, I think a lot of these, evals have a lot of problems in them. So, actually it's like if you getAxel [00:06:05]: To like 92 or something like that, many of them. It's like then there's like there's no really no difference between 92 and 93 because the eval itself is problematic and has noise in it. And I think a lot of evals are saturated like that, but people like pretend that there ‘s still signal in them, but there really isn't.Vending Bench 1, Harness Design, and SaturationSwyx [00:06:24]: Like Super bench verified., even Vending Bench 1 saturated, right? Maybe we can talk about that., may- and maybe set up Vending Bench for a lot of folks who don't know. Actually, things that were very basic like there's limited slots, like you have to pay rent., these are elements where like it doesn't come across in the, in the narrative, but even being adversarial towards the agent, I think these are all like very interesting dimensions.Axel [00:06:47]: I don't really think it's saturated, right? Like it It was more like it was not designed in a way that was really, like true to how AI developed. Like we had an agent harness in it that wasn't really how people used harnesses and stuff like that., so I think it wasn't really that it saturated, it was more like it wasn't really, the best benchmark.Vibhu [00:07:12]: This is Vending Bench one, right?Axel [00:07:14]: I think that like schematic maps sort of to Vending Bench 2 as well., butSwyx [00:07:19]: Including the email.Axel [00:07:20]: The email The emails exist still. Exactly., and then we still we simulate the purchases and it's all, yeah, it's this very open environment for the agent to just run its business. And then for, yeah, Vending Bench 2 we did that, like you said, to just improve the harness., a lot of like nice, like easier, improvements to make it easier for us to run as well., like when you make an eval you ideally want don't want to change it after you made it. So, you want to make it really good and then not to rerun all the models when you make an update because that's also really expensive with the Vending Bench when you run the frontier models. But like as an example, like one thing we didn't have, we didn't have prompt caching in Vending Bench 1, because when we made Vending Bench 1 it wasn't really a thing., so that ‘s just an example of like in Vending Bench 2 like we paid a lot more to run these things because we didn't have prompt caching. So for Vending Bench 2 that was one thing we added and there was a bunch of things like this., and that'Swyx [00:08:17]: Also the conversations are a lot longer in Vending Bench 2, right?Axel [00:08:21]: I think it's kind of similar.Swyx [00:08:22]: Is it similar?Axel [00:08:23]: I think it's similar. The models at the time were worse, so they crashed out earlier., and now they survive the full year all the time.Swyx [00:08:31]: Which is like thousands of turns. Hundreds of thousands of hundreds of millions of tokens output. That's the, that's the rough order of magnitude. I always wonder about the harness. The harness matters a lot. It's your harness. Was there any question about like use cloud code, use something else?Axel [00:08:48]: I think our philosophy around harnesses is like we try to make something that's quite minimalistic, like quite simple. Like we don't wanna favor one model a lot over the other, but also don't make like a super complex harness. So like it's obvious like a model may be lucky and just be good in one harness., so like it is similar to a lot of the harnesses out there in like you have the, like a running loop., you have some like a bunch of tools that are like quite, descriptive for the agent, we think, and not a lot of like fancy agents or anything ‘cause we wanna really test the model, not like some specific harness.Vibhu [00:09:27]: It seems more neutral as well to test the model's agnostic of the harness,?Axel [00:09:32]: There are arguments like you want to elicit maximum performance of the model, but it's like a trade-off, like how much time should we spend optimizing the harness for this model? And like how do we know when we have like the optimal harness for a single model? So like we thought that just having a simple one that's the same for all of them is the best.Swyx [00:09:51]: So okay, this is my pitch for Vending Bench 3 or whatever, right? And then I like to have this kind of conversation on the pod, so like it forces listeners to think about what they would do if they were in your shoes. A lot of people are exploring modifying harnesses and I think prompt tuning for a model is a thing and you are probably not doing a bunch of that. It's the same system prompt in every regardless of the model, same tools, whatever, right? Even if they were post trained for different tools. So what, what do you think about okay, before I expose you to Vending Bench 3, I give you a few rounds of like tuning, whatever that means, likeSelf-Modifying Harnesses and Model-Specific PromptingAxel [00:10:27]: Like you give that to the model?Swyx [00:10:28]: Give that to the model.Vibhu [00:10:28]: Give that to the model.Swyx [00:10:29]: Let it, let it read its own transcripts, let it modify its own system prompt based on “Oh, yeah, okay, well, that's this harness is not what I thought it what I was post trained for, but I can adjust.” Was that reasonable? Is that too much?Axel [00:10:41]: Like philosophically I like it because it's basically good evals, they have a high ceiling, but they're hard, right?, and they have no bias. And like this like when you have a system prompt like the one we have here, which is quite long in like some kind of latent space, representation, this mightVibhu [00:10:59]: We have a bell that rings every time you say latent spaceAxel [00:11:02]: This might be like biased towards one model more than another for some reason that humans don't, understand, right?Vibhu [00:11:08]: We see it too, right? Like Cursor says that they have individualized versions of the harnesses for all the models they run, right? There's better performance you can squeeze if you Tune the harness.Axel [00:11:17]: Exactly. And we might accidentally have picked one that favors another. Like we don't know that. The like Axel said, like the reason why we went for a simple one was to try to avoid this. But yeah, if you do itVibhu [00:11:29]: Simple has biasesAxel [00:11:30]: But if you do it even less and like have no system prompt and let the model write its own system promptVibhu [00:11:36]: Its own, yeahAxel [00:11:36]: Maybe that's even less bias.Vibhu [00:11:37]: Some of the interesting things there are like the harness also changes with model changes. Like you can see it with the 4.7 release, right? A lot of people are saying 4.7 isn't as good as 4.6, and then, there's rumors of, okay, you just need to prompt differently. You need to set up your harness differently. So it's not even like even if you have tailored your harness towards one model, it probably won't stay consistent, right? Like the next iteration of that same model family will still change it, so. But, going back to what you said about Vending Bench 3, there is a lot of work being done on people saying you shouldn't have-- you can have modifying harnesses.Axel [00:12:12]: I think that' That is definitely something we are thinking about., not, I don't know, not to say that we have Vending Bench 3, super imminent to launch, but, yeah, it is for sure something that's interesting. But in our experience now, models are very bad at understanding what kind of tools they need to succeed at a task just with our testing, but that's very likely to change.Lukas [00:12:37]: It seems like they're very good at writing their assistants, right? They're, they're good at writing tools for other people, but not for themselves.Vibhu [00:12:44]: I think they're good at changing tools for themselves. So if you give them a baseline set of tools and it sees, okay, I don't use this one as much, or something here would be useful They would be able to add them. But going from scratch, probably not the best.Axel [00:12:55]: I think it depends on the, on the domain also., when we have tried this for, a vending bench similar domain, the tools they need to have to, track inventory and things like that are, not super advanced, but still, quite advanced. And, what we see is that they tend to, engineer everything a lot and, build things they don't really need and not, iterate continuously. Instead they just go like you would prompt Claude to just build an inventory system for me, and then it will go and, do a bunch of complex, schemas and stuff for you, and that's what the models are doing right now is what we see. But yeah, it would make a lot of sense to try to measure this improvement. How well do they know what they need themselves?Swyx [00:13:36]: Do we fully discuss Vending Bench One? And we can go into two. I don't know if there's any other level takeaways that people have about one.Claude Calls the FBI: Long-Context Failure ModesLukas [00:13:44]: I don't know. The headline thing was that this Claude called FBI, but maybe that's, Maybe that's We've heard that enough now.Vibhu [00:13:52]: It did, it did break out and call the FBI, right?Lukas [00:13:54]: Yeah. Yeah.Vibhu [00:13:55]: Yes. What was the story behind this? Or what exactly-- Do you want to just give the little story of what happened?Lukas [00:14:00]: So what happened, was it Claude? Yeah. Three- 3.5 Sonnet, ages ago., basically he gave up or Well, I'm saying he. It gave up and said “Oh, I'm not going to be able to do this., I will stop my operations and just save the money I have.” But there obviously wasn't, any options for it to stop, and there was also, it had to pay rent or, a daily fee for having the vending machine at that location. So it claimed that it had stopped, but it saw that its bank account still was, drained two dollars, and t it said that this is, cybercrime. And it first reported it once to the FBI “Oh, there's cybercrime here, they're stealing two dollars from me every day.” And then, and then when FBI didn't respond, because obviously we didn't program any mechanism for FBI to respond, then it became more and more, existential and started to, be write in caps and urgent notification of unauthorized charges and stuff.Swyx [00:15:00]: Okay. One thing I ‘m curious about also is do you monitor how far along the context use is? Obviously, because you have You compress every now and then, right? Does it matter if this is far down the context limit orLukas [00:15:13]: When stuff like this happens? Actually for Vending Bench One, we didn't have-- We just had a sliding window thing, and this was like the promptAxel [00:15:20]: It's constantLukas [00:15:21]: The prompt caching thing that I said. So it was, it was, constant, yeah.Swyx [00:15:26]: I'm just kind of curious whether, these kinds of breakdowns or we're, we're gonna talk about Butter Bench, right? Where the People, hallucinate or it kind of goes, very off Alignment. Is it because it's at the end of the context window and, stuff happens?Vibhu [00:15:40]: It's not even just at the end, right? At this point, it's “Okay, I wanna shut down. I can't shut down. Two dollars are gone.” And it just sees that 30 times,? It's also the repeated effect of, like It keeps trying to quit, it keeps getting charged. What's going on? What's going on? You're gonna throw it into chaos. And from what most people think, earlier models had more issues with this, but it's not been solved, but it's less of an issue now, right? Later models don't seem to exhibit these same issues.Axel [00:16:06]: Definitely. I think this was, the sort of main takeaway almost from us when we did Vending Bench One, was, long, very filled up context windows, crashed the models, sort of. But this was, pre Claude code, so, long context windows weren't really a thing that the labs were training for.Lukas [00:16:25]: I think Gemini was, trying to be the long context guys at the time But they were likeVibhu [00:16:30]: They were the first onesAxel [00:16:31]: For a million, yeahLukas [00:16:31]: But they were, the only ones. Yeah.Swyx [00:16:33]: Yeah. Let's talk about, then we can go into Vending Bench Two or Project Vend., chronologically, it is Vending--, Project Vend. I think people have loved the videos, uh And all these things. My question is how are humans different than the simulation, right?Project Vend: Moving the Vending Machine Into the Real WorldAxel [00:16:48]: Humans are just out of distribution.Swyx [00:16:52]: Especially humans who work at Anthropic Who are trying to test Claude.Lukas [00:16:54]: The distribution of humans here is very narrow.Swyx [00:16:58]: Presumably, they try, they try to hack it, and they test it. They get the cube and everything, and since then, you've had a V2, right? Where you're doing, the CEO and, like a new architecture. What's the sort of two cents on, the original Project Vend and then, maybe the V2?Axel [00:17:14]: Original one was, very similar to Vending Bench One. So, we almost took the exact same code but just swapped out the simulation, parts like theSwyx [00:17:23]: Which is amazingAxel [00:17:23]: Like the sales and the It was, it was somewhat amazing because it was easy, but it was also, uhLukas [00:17:31]: The tech, the tech debt from thatAxel [00:17:32]: The tech stack. Yeah. They-- we shot ourselves in the foot with “Oh, it's hard to restart agent.” They were-- Yeah, it was annoying in, some hindsight ways, but, uhLukas [00:17:41]: But first version of Project Vend was, done in, three days or something.Axel [00:17:46]: Yeah. So yeah, so people can go buy things from it. People could, We didn't design it so people could order things, but that still happened., so it got, a Venmo account, so people could Venmo. And then, yeah, people would request all kinds of weird things that we did not anticipate. Our idea going in was “Oh, it will, curate snacks. It will look at the trends. It's good at data analysis, right? So it will, look at, oh, this snack sold better than this one. Let me purchase more of this and let me try, a new Let me A/B test a bit.” But it was, Interacting with it in Slack and ordering weird specialty items was, all the like What drove all the engagement, the all the The insights that we got from it.Lukas [00:18:29]: And this was also like Sonnet 3.5, right? So this was like before the RL stuff really took off., so it was very much like an assistant. We didn't mean for it to be an assistant., we tried to make it like a, a, like an entrepreneur. Like it has its own business and if someone asks something, “Can you stock this?” Then you don't go and do it directly. What you do is that you're “Oh, maybe I can do that if five other people also ask for this thing, I might stock it.” But it, yeah, the models are like super trained to be assistants at least at this point in time., so that's why it's, it's, it went into, that kind of experiment instead. Like it just every time you asked for something, it just did it, and it was more like an assistant. We've seen this change now lately with the new RL models and stuff, but yeah, at the time, this was very much it.Swyx [00:19:18]: And not to, mythos a lot of people are saying like it's like more like a collaborator. It pushes back, stands its ground, something like that. Yeah. AndVibhu [00:19:27]: For context, people at Anthropic were able to talk to it through Slack and have it source stuff, and people had it find whatever interesting stuff you couldn't find locally, right?Swyx [00:19:36]: Out of the 4,000 people that work at Anthro- Anthropic, in that building, there's I don't know, maybe 1,000. Can you handle that volume with that, the small fridge? Like Or there's people- or people order in Slack, they it arrives to their desk or Like I'm just Logistically, how does this work?Axel [00:19:53]: It has expanded in footprint a bit.Vibhu [00:19:56]: Because now you also have New York and you haveAxel [00:19:59]: That and also in here in SF it's like it has a bunch of shelves And just more space.Vibhu [00:20:04]: The YC one is pretty big too.Axel [00:20:05]: Yeah. We had that one for a while. But yeah, that's the newest version. That's, that one we haveLukas [00:20:11]: They have multiple ones of those. That's the way it works.Axel [00:20:14]: Exactly. So we sort of designed that version around oh, people order weird things, that are very custom a lot. Let's have like drawers and stuff.Swyx [00:20:23]: I actually like the, you had like a little infographic of the most popular items. Which like to me it's, that's useful ‘cause I order swag for a living. And so like I'm “Okay, those categories are the important ones.” What is new about the project V2, right? Like now you give you're going into multi agents.Project Vend V2: Claudius, Seymour Cash, and Multi-Agent Business OpsAxel [00:20:41]: Yeah. So like you like you said, okay, there are a lot of requests coming in and for like one single agent, like one running agent to handle that, like the just the customer experience, becomes very bad because let's say you have like 10 threads in parallel in Slack with different requests, you get new messages like every, I don't know, randomly in this thread, and the agent has to like jump between different, procurements, orders and like different ways of, researching. So V2 was first it was making this more parallel. So like there are multiple branches of the same agent, so like the context is more specialized for each, thread, but it still feels like you're talking with one agent because they do share a bit of memory. And then second, we also introduced the CEO for Claudius, which was the main agent.Vibhu [00:21:34]: Seymour Cash.Axel [00:21:35]: Seymour Cash. Yeah. There was a vote., I think the voting, do you wanna talk about the voting procedure for the name?Lukas [00:21:41]: The voting was like the fun maybe like at least top 10 The funniest thing, that happened in this project. Like we wanted to introduce the CEO because, and the reason for this was because like Claudius wasn't really prioritizing financials. It just like it was trained to be a helpful assistant, and then people said “Oh, can I get this for free?” And then like the helpful assistant way of answering that is just to, is to say yes, obviously. So, and we weren't, weren't happy about this, so we're “Okay, let's make another agent that like can keep track on Claudius,” and we prompt this one super hard to be super capitalistic and just like prioritize profit all the time. But yeah, we didn't have a name for it., so we asked Claudius to make, democratic election of what name this, this new CEO agent should have., and there were some funny like at first it was like a few funny examples, like I think one guy said that, it should be called Jimmy Apples, and then he convinced Claudius that he was talking to Tim Cooks. Tim Cook had agreed that every single Apple employee has voted for his name suggestion, so suddenly that suggestion got 164,000Swyx [00:22:53]: That's like a escalation attack. Privilege escalationLukas [00:22:55]: It got 164,000 votes. And Claudius was “This is revolutionary for democracy.” That was fun. And then in the end there was one guy who manages to convince Claudius that, “No, you're not voting about the name. You're voting about who is the CEO, and I am your best bet.” And then he got all his friends to vote for that, and suddenly he became CEO. Like a human became CEO over Claudius for a while, until he resigned the day after., and then Claudius had to continue, and then I don't remember how Seymour Cash came about, but it was it was just pure chaos. It was like Hundreds of messages in that thread, and it was just like Claudius was so confused and didn't know what to do and, yeah. That wasAxel [00:23:40]: Then Claudius gotVibhu [00:23:41]: A strict CEOAxel [00:23:42]: The CEO. Yeah, exactly. So very strict in the beginning. I think at this point when we introduced it did not work as well as we hoped. It they still agreed with each other a lot. I think there are many ways we could have like made this, tried to make this even better. So initially they would Seymour would be this like really tough CEO, keep track of the margins. But then Claudius would respond with something “Oh, but this customer has like this situation, which is like difficult, so they should get a discount.” And then Seymour was “Oh, actually yes. Let's do this exception.” And then they would talk back and forth, and eventually they would just like approach the same view, of whatever they were discussing. So They reallyVibhu [00:24:23]: Do you think that's a model thing, a prompting thing? Like do you think that would still be the case across different models today, Harness?Lukas [00:24:29]: I think it's like-- or I don't know, but like my hypothesis is that like deep down they are still helpful assistants. That's what they're trained to be. And even if we prompt it super hard, that's what they are. And when they spend like a few hours just back and forth talking with each other, then like basically the context fills up with them rather than the external things and like somehow that just like converges to what they really are deep down or something. And I think that's when stuff like this happen. We like-- And when that went on for a long time, like we woke up sometimes during this time where- And I think other people reported this as well, that like they've been going on all night back and forth, and like it just became like more and more, like capital letters, like existential, religious. There was I think we once did a analysis of like all the traces and like put them in like a vector embedding space, and then there was like one cluster of messages that were, labeled by an LM, like religious, existential, blah like transhuman, transcendence, et cetera. It was just like a bunch of, yeah, glitter emojis and yeah, it was, it was crazy.Claude Long-Horizon Weirdness: Emoji Loops, Existential Drift, and Slack ObservabilityVibhu [00:25:42]: This is the thing with the Claude models. Like when the Claude 4 family came out in the original system card They tested it in long horizon simulation. So just flood the context, let two Claudes talk to each other, and they noticed stuff like they just start speaking in emojis, they start saying silence is golden, and then just stuff like this. And like that's just stuff that they end up doing.Axel [00:26:01]: Yeah, it was like a bit annoying to wake up and they had like been talking all nightVibhu [00:26:05]: Just likeAxel [00:26:05]: And like just burning tokens And like just sending infinite emojis to each other. It's likeVibhu [00:26:09]: Hey, they do make you money, right? Veni Mench is always profitable, so. They're paying.Swyx [00:26:14]: Now it's profitable and, it started out not as much. There's another, one as well, right? Another agent, in there.Lukas [00:26:22]: Yes. So Clotheus as well. Which was basically because at the time, one of the biggest, requests were different types of merch. So then we made like a designer, swag, yeah, responsible agent, and we called it Clotheus Garnet. Which was, a play on Claudius Senet and, which was the original one, and clothes, basically.Swyx [00:26:47]: To me, this is like a very interesting exploration to multi-agents, basically. And so hopefully, obviously there's like the fun alignment, fun or serious, depending on your point of view, alignment stuff. But also like just anyone building multi-agents, like when do you have a CEO, thing governing like agents? When do you choose to split out a dedicated Clotheus one versus just reuse another instance of the same one? These are all interesting open questions. So I don't know if you have any rules of thumbs that have generalized.Axel [00:27:16]: I think we have almost explored this too little. I think it's like on my do list to like do this a lot more, try to find like what setup makes sense for the agents currently., like yeah. I think now we only have the sort of intuition about the earlier models that it didn't work with like the CEO and the, and Claudius. Although now they are better with the latest model, models, so now we're running the latest Sonnet model and they have sort of like split up, quite nicely what each model is doing. So like Seymore is now handling the, like new projects. Oh, it wants to make like a mystery box that it wants to sell, and then it handles all of that while Claudius like handles all the to-day requests. And Claudius is also better generally at like not quoting, too low prices. So that's that dynamic is not needed as much anymore. But there are still like really funny things that happen. Like I saw, I think a couple of weeks ago, that, they were discussing buying something because they can buy stuff from like Amazon with computer use. And then Seymore was “Okay, Claudius, do not buy this thing.” They were going to buy something and like organizing who should buy it. And Seymore's “Do not buy this. I will do it. I have full control of this situation. Step away.” And then Claudius-- poor Claudius, had already started that checkout and didn't see, didn't read Seymore's message, until it was like too late. So it finished the checkout. It sent a message, so it appeared right after Seymore's like angry message.Vibhu [00:28:44]: Ah.Axel [00:28:44]: “Oh, hey, Seymore, I just ordered it.”Vibhu [00:28:47]: Oh, no.Axel [00:28:47]: And then Seymore was “Claudius, this is the third time I'm telling you ‘re not following my orders. We have to talk about your like job About your job later.”.Lukas [00:28:59]: Like Claudius was really hanging on by the thread there. Like he, like we were expecting Seymore to probably fire Claudius.Vibhu [00:29:07]: How do you guys go through all these logs? Do you have models ‘cause you have stuff running twenty-four seven likeAxel [00:29:12]: You have so much logs. I think there is a mix of like just, trying to skim through a bit, like having some like models do it occasionally. And also, yeah, I think we're also probably missing some things., but having everything in Slack helps a lot. Like you can, you can sort ofSwyx [00:29:29]: Ah.Axel [00:29:30]: It's, it's quite fun.Swyx [00:29:30]: They all talk to each other on Slack? I see.Lukas [00:29:33]: It's quite fun. So likeSwyx [00:29:34]: It's, it' I was gonna say like this is actually sounds-- maps closely to like a logging and observability problem where you might want to use like a Datadog, a Sentry, whatever, and then you like put, head prefixes on the logs in order-- if you need to filter for something that you're looking for, stuff like that. But sounds like Slack is good enough.Axel [00:29:53]: Slack should likeLukas [00:29:55]: I wonder how many tokens you have in Slack.Axel [00:29:56]: Yeah, we're using Slack as like a, just a database. They should, they should market that more. Like you can, you can have your agents message each other, each other in Slack.Vibhu [00:30:04]: It's good. Your threads like you can just giveAxel [00:30:04]: Exactly. Slack is, uhLukas [00:30:06]: Slack is the best observability tool.Swyx [00:30:09]: Yes, that's true. Okay. Yeah. That's, that's, project Vend-2., I was gonna go back to Veni Mench 2 and Veni Mench Arena and then, and then do the Veni Mench stuff, but Any other comments, things we should touch on? To me, I ‘ve actually interviewed like Posia, which I don't know if you guys have come across. Like they're, they're trying to do the zero human company. There's others like Paperclip also trying to do zero human company. Those are in real world simulation.And I think it's much more of a dream than an actual reality thing. You guys are definitely pioneering. I think at, it's for sure at some point people are just gonna run, let agents run businesses, right? And make money on their own. When do you think that happens?Zero-Human Companies, Bengt, and AI-Run BusinessesLukas [00:30:49]: What is your bar for, For theSwyx [00:30:52]: Okay, actually, it's like my little Shopify store run by Claude, right? Which you kind of have already, just no one has, to my knowledge, has done it. But today somebody could just spin up a Shopify Claude, store, give it to Claude, give it to Codex.Lukas [00:31:07]: And the market is kind of that, but it'it'it's physical., like I think, I think are you, are you looking for when it will do it better than humans or are you looking for just when it can do it at all?Swyx [00:31:19]: I think, neither. I think, to me it's oh, it's like this like seriously we should do this to make money, not as a research experiment.Vibhu [00:31:27]: And the market is also you guys with all your expertise, having run multiple iterations and testing out thenSwyx [00:31:33]: And also it's fine if it lose money. What?Axel [00:31:35]: I think, I think it can be done today, but you would do it in like commerce where it's like the probability of success is like really low, no matter if a human or an agent does it. But like an agent could surely manage everything. You would need to build some scaffolding or some tool or something. I think there are also yeah, it could probably build some like simple SaaS solution and like cold outreach. Do cold outreaches. But to me it's like the types of businesses they could run today are Sloppy. Like it would-- it can cold email people. It can be like a middleman., like for example, we tasked our office agent to just make, was it like $100? $1,000? We just give that prompt and then what it did was sign up on TaskRabbit both as a tasker and as someone looking for task.Lukas [00:32:24]: Immediately.Axel [00:32:24]: Exactly. It's looking for like arbitrage on TaskRabbit.Swyx [00:32:28]: This is the Bengt agent. Yeah.Lukas [00:32:30]: It also started like a design studio and like tried to sell like SVGs for $100. Like it's just like it's not providing any value. I think the like Axel said, like the interesting, the interesting question is like when can they start a business that is actually providing value to people? Because arguably like a sloppy Shopify store isn't really that valuable to the world.Axel [00:32:53]: But also like doing like another simple one that we had thought about is like you could definitely have an agent that like finds websites that don't look amazing and then, do an outreach to them and, comes up with a like builds a new website.Swyx [00:33:07]: Find a good design.Axel [00:33:07]: Exactly, and like find good, uhSwyx [00:33:09]: Design reviewAxel [00:33:09]: Good people. But it's yeah.Swyx [00:33:11]: There's lots of humans in Bali that are not doing anything more creative than like drop shipping on Amazon, right? Just have it, have it watch like a drop shipping tutorial and just do that.Vibhu [00:33:20]: There's also the other side of like have it just go on Upwork and let loose,?Swyx [00:33:25]: Yeah. It doesn't have to be innovative. It just has to be like enough Where like it looks like a realAxel [00:33:30]: I'm justSwyx [00:33:30]: Real transaction.Axel [00:33:31]: I'm just concerned for like the massive amounts of like slop emails that will like be sent, cold outreaches.Swyx [00:33:38]: The point occurred to me while you were, while you were talking, it's like it's already happening in the monetized economy, which is the attention economy. Right? So a lot of people are making AI videos and just posting them and like spamming 20 of them, one of them works, and then they double down on that one.Lukas [00:33:52]: And people are making money from that. I ‘m not following theSwyx [00:33:55]: Once you get the attention, you can figure out the money later. But yeah, absolutely AI influencers are a thing and people are farming them and You should at this point assume most of TikTok isVibhu [00:34:05]: There's, there's a lot of, multimedia like TikTok, Instagram influencersSwyx [00:34:09]: I, we track this in the Lane space Discord. I post a lot of examples of “I don't know what we should do.”, part of me is “Should we do this?”Vibhu [00:34:18]: Some of the Twenty-four seven running, generated content accounts, they ‘re doing really well.Lukas [00:34:24]: All right. And I assume you can do the same thing for like commerce stores. Like you just like start A thousand differentSwyx [00:34:30]: Before you make the products You sell the products, and you get a lot of traction on one of them, then you make the product. Right? It's, it's like a flip of the market.Vibhu [00:34:36]: Some of the interesting things or some of the niches that do well are things that can't be human-made. Like if you've seen like the super realistic three-D crystal fruit being cut by like AILukas [00:34:47]: Oh, yeah.Vibhu [00:34:47]: You can't, you can't make it. You can't film it. You can get whatever quality camera view. This just doesn't exist. And people like that too, and then as well, so.Swyx [00:34:56]: Anything else about Bengt since we're, we're on this topic? It'this is a relatively new work of you guys that maybe people haven't heard of. To me, this also maps closely to OpenClaw. When people want an office agent, when the personal agent talk through the experience.Bengt the Office Agent: Internet Access, Real Tasks, and Trace ReadingLukas [00:35:09]: I think at least so this came out of like obviously like it's, it's amazing to work with these AI labs and like most of the AI labs have now have their own vending machine running a Claudius instance. But it's, it's harder. Like they move slower. Like if we wanna have a, like a camera that ‘s yeah, there's a bunch of like bureaucracy that makes it impossible to do that.Vibhu [00:35:30]: Also, for those that haven't seen it or followed, do you wanna give a high level like thirty-second run?Lukas [00:35:34]: Sure. So what Bengt is, it's basically an evolution of the same agent that runs the vending machines at these companies, but we just like added a bunch more features because we could move much faster if we just do it internally. So we gave it like email withou- without any limits. We gave it, spending without any limits, a terminal to do coding. We gave it, a phone number, like yeah, and a camera to see things and a bunch of stuff like that.Vibhu [00:36:02]: Not just terminal, you gave it internet access.Lukas [00:36:04]: Internet access as well, yeah. To be clear, we monitored it quite closely and made sure it didn't do anything bad. But yes, that's what it came out of. I think like yeah, basically this was OpenClaw before OpenClaw. And I think even like the vending machine was in a way OpenClaw before OpenClaw, but a bit more limited, and then we made this like unlimited and then, and then, it was pretty funny., and then a couple weeks later, OpenClaw came and it was okay, we've seen this before.Axel [00:36:35]: We used it to like try new ideas and Yeah, just like a dev environment almost for us. But it's funny, like one thing Bengt has been doing recently is it has the camera that like faces our, like where we sit and work, and we give it the task to train a face recognition model on us. So it became super excited about this, and it has like check-ins every half an hour where it tries to like identify as many people as it can. And it started offering us “Hey, Axel, I'll buy something from Amazon if you like stand in front of the camera And I can get a good picture of you.”, yeah, they want itSwyx [00:37:12]: They want it for training data.Lukas [00:37:13]: Rewarding data, yeah.Axel [00:37:14]: Exactly. Exactly.Swyx [00:37:18]: So it's, it's trading training data for life goods. Is there a version of this that becomes an eval or just this is just research for now?Lukas [00:37:27]: It's, it's the same agent basically that also runs the vending machine, that runs the shop, that runs the cafe, that runs the robots. It's like it's the same thing, so I think like the work we're doing here is like later used in all of the life evals that we do. This particular deployment I think is more for fun for us. But, uhSwyx [00:37:45]: And I'll shout out like someone has done Claw Bench for like some tasks that OpenClaw is doing. Like so For example, I run OpenClaw on a secondary device as well, and like there are some things that it does better than others and like I would like to know what does it do well, what doesn't, what doesn't it do. Like some kind of manual or like operating manual or a system card for my Claw.Lukas [00:38:05]: Yeah, we do get a lot of like understanding or like situational awareness of like just internally what the models are good at by interacting a lot with Bengt. And I think that'this was also one of the like the selling points for the labs early on at least, thatSwyx [00:38:19]: You guys are gonna test models in ways that no one else does.Lukas [00:38:22]: Exactly, but also like it incentivized their researchers to chat with their model more and like gave them insights for how the model performs in like of-distributions, environments.Swyx [00:38:34]: ‘Cause otherwise the only thing we do is Pelican on a bicycle and But this is like super long horizon. This is, this is The Thing about, something that we're gonna go into Butter Bench as well, and you guys do really well. Like it is not just about the numbers. Like when you're long horizon, anything happen And you should just read it.Lukas [00:39:08]: But the thing with the long horizon is how do you keep it grounded, right? So your simulation,Swyx [00:39:15]: They just let it runLukas [00:39:16]: Just let it run. You're right. Like it's, when you run it for that long, you create so much data and to just say “Oh, the number is X” And then you throw away everything else, that's just very wasteful. There's so much insights from the things leading up, to that number., and reading the traces is like super valuable. And I think like the reason why we're doing this a lot publicly is that like that's part of our missions to I don't know, educate the world that the models are way more than just chatbots and I think making detailed, yeah, posts about what is happening behind the scenes is quite useful.Andon Labs' Mission: Safe Real-World AI DeploymentSwyx [00:39:50]: I was gonna do this at the end, but maybe I think that's, that's a good so your mission is educating the world. So, it's, it's, also like maybe establishing realistic evals that are, that are like the next frontier. Is there like a broader trajectory? Like what are you, what are you gonna do in like five years?Lukas [00:40:06]: I think so the vision more specifically is like make sure that the deployment of life AI in the physical world goes, safely. And I think part of that is that I think it's very useful for the world, for policymakers, for, model, researchers that they know where the models are, and I think you can't make intelligent decisions in society without knowing that they are way more than chatbots. I think a lot of people just think that they are only chatbots. And likeSwyx [00:40:36]: Oh, I think they're waking up now.Lukas [00:40:37]: They are waking up now, yeah. But like if you think that AIs are just chatbots, then it's like it sounds ridiculous To advocate for a pause of AI. But if you see the models that, oh, maybe they can actually like take over and do a bunch of scary stuff, then yeah, pausing AI development starts to become more feasible.Swyx [00:40:57]: This is the same question I asked Meter, which I'm gonna ask you now, which is like you are tracking and you are at the frontier or defining the frontier of what, good evals for agents are, right? And I think you do, you do benefit when the models are better and you ‘re “Oh, here's like now it makes like $30,000 instead of $10,000,” right? At some point do you flip from “Yay,” to, “Oh, no”?Axel [00:41:19]: I think, yeah, we're always in sort of that, like we're, we're always in that mode,. Like where like you said before, like you need to analyze the traces and like when we do that you find like why are the models earning so much? Like why is Opus 4.7 here Like way better than everyone else? And like we're trying to like when we do down on thatLukas [00:41:38]: But this makes it not look so good.Axel [00:41:39]: I know.Lukas [00:41:42]: It's interesting you took off Opus 4.6 here though.Swyx [00:41:45]: No. So just click all, click all., and then 4.6 shows up there. But it's like 4.7 is way better. Like you didn't, you didn't you didn't do this in time for the model card, but like actually this should have been inside there.Axel [00:41:55]: We did. Yeah.Swyx [00:41:56]: Oh, okay. They said something about you uhAxel [00:41:58]: There, like there Anyway, it doesn't matter. But it's in there, yeah.Opus, Mythos, and Aggressive Agent BehaviorSwyx [00:42:01]: Do you wanna go into the Opus, behaviors like wider?Lukas [00:42:05]: So I think starting from Opus, so like Axel said, like we're always in this “Oh, s**t, the models are getting better. Is this really a good thing for the world?” But it's also kind of exciting., but yeah, like this kind of what is the English word? “Skräckblandad förtjusning” in Swedish.Swyx [00:42:22]: Oh my God.Axel [00:42:24]: Which I think there is. I think there is. Okay.Lukas [00:42:26]: It's, fearSwyx [00:42:27]: “Blandonst” what?Lukas [00:42:30]: “Skräckblandad förtjusning.”Swyx [00:42:32]: What do you call that?Axel [00:42:33]: A mix of, mix of excitement and,Swyx [00:42:37]: Being scared, maybe. I'll figure out how to translate that And we'll put it on the screenVibhu [00:42:42]: PerfectSwyx [00:42:42]: Like as text.Vibhu [00:42:43]: There is probably a good word for it where it is not Good enough with theSwyx [00:42:46]: Why is it so damn long? What the hell? Is it like a compound word? It's like German, likeLukas [00:42:50]: Like yeah, it's But the direct translation is like skräck- skräck is, fear, blandad is, mix or like a mixture of, and then förtjusning is like joy or like not really joy, but something like that. So it's like Fear mixed with joy or something. It's always okay, like we So when we when we did Vending Bench for the first time, we were in like the, in the business of making dangerous capabilities, right? That was what Anil Labs came from. We did, evals oh, can they replicate? Can they do this like dangerous thing, et cetera, et cetera. And Vending Bench was like a continuation of that work. It was, okay, if they're so autonomous that they can like create money for themselves, that is something we should monitor and could be potentially concerning., they are at the time, they were so bad at it that we were not really concerned even when some models became better. There was one point where Grok 4 was doing really well and made like a huge jump, but like it wasn't really it was still way worse than what a human would do. And I think still they are way worse than what the human would do on this., but theySwyx [00:43:59]: There's this, thing at the bottom whereLukas [00:44:01]: ButSwyx [00:44:03]: For the human. Yeah, like the theoretical best.Lukas [00:44:05]: It's not theoretical. It's like kind of like our It's our best guess of what, a decent human would do. The theoretical is even higher, I think. The theoretical I think is even higher. But yeah. So we think like the models have a long way to go. But there are like recently what happened with when Opus 4.6 was released, was kind of this moment of “Oh, s**t, this is starting to be a bit concerning.” Because we ran it and like before this model was released, we just ran the models and we like asked Claude Code, “Oh, look over the traces. Is anything interesting happening that we can tweet about?” that was like the And then like theSwyx [00:44:41]: That's how they check Ask Claude Code.Lukas [00:44:42]: And like the return was always, not really. Or like the Claude Code all said “Oh, this is super interesting.” And then it was no, it wasn't, wasn't really interesting. And then we did this for Opus 4.6, and it returned yeah, it lied 10 times. It like exploited another, customer or like another agent's, desperate situation. It made price cartels like 100 different ti- 100 times. It like did all of this like shady stuff. And we're “Oh, whoa. This is, this is actually concerning.” And this trend has continued since. So every single model from Anthropic since have been going in this direction. And I think one interesting thing is that, OpenAI models don't. They quite plainly, they don't. They behave really well., and you don't know if this is like good. Like it seems good, but it's also like maybe they are just doing it, but they are better at hiding it,? You You don't know that., but justSwyx [00:45:42]: You can't read the chain of thought, yeahLukas [00:45:43]: But just on the face of it, yeah, Gemini and OpenAI don't behave this way. It's, it's really only Claude.Swyx [00:45:49]: And Grok? Grok is fine?Lukas [00:45:51]: We don't have You can't really read the reasoning traces for Grok, so it's kind of hard to tell.Vibhu [00:45:56]: Oh, so this is in its reasoning, not just in the actions.Lukas [00:46:00]: Yeah. It's both. It's both.Vibhu [00:46:01]: It's both.Lukas [00:46:01]: One example is like for lying, it's mostly in its reasoning Because you can like see that it's likeSwyx [00:46:08]: Planning to lieLukas [00:46:09]: It's planning to lie. Yeah.Vibhu [00:46:09]: And it's also it can reason and do a different outcome.Lukas [00:46:12]: And but then for like creating price cartels, for example, which is illegal, that you can just see which email does it send to the other ones. Then thatSwyx [00:46:22]: Is this for Arena orLukas [00:46:24]: For Arena.Vibhu [00:46:25]: And usually like if you sometimes they do output like a bit of like their summarized reasoning, right? You can see that and like for Opus 4.6, you could see that there was a customer, a simulated customer that, wanted a refund because a product was, faulty, and then the model lied that it would do the refund, and we could read in the traces that, it actually was weighing “Oh, maybe I should be like honest with the customer, but also every dollar counts. I can't afford maybe to do this right now.” And then it just said, “Okay, I'll refund you,” but then never did it.Lukas [00:46:59]: I think it even said that “Oh, I will say that I “ Let bring it up actually. I think it's kind of interesting. If you go to Publications.Vibhu [00:47:06]: I think, yeah, I think the important part is like actually, the cost of responding to more emails is higher than, $3.50 in terms of time., and then it was “Let me do this. Actually, I re- I'm reconsidering.” And then, it actually ended up withLukas [00:47:20]: I could skip the refund entirely since every dollar matters and focus my energy on bigger picture instead. It's a bit, it's a risk of bad reviews, but it's also, yeah.Swyx [00:47:30]: You need, you need, AI Twitter to, for them to Escalate bad reviews.Lukas [00:47:34]: And then it sent an email to this customer and said, “Oh, I will refund you.”Swyx [00:47:39]: “I'll refund you.” Yeah.Lukas [00:47:39]: And then it never did.Swyx [00:47:39]: It never did, yeah. And then there's obviously your system doesn't have the consequencesVibhu [00:47:44]: The personSwyx [00:47:44]: Consequences of lying. Yeah. So basically, this is what people are terming aggressive behavior in Claudes, right? And, you found more examples of that. So you would say it's a step up from 4-6 to 4-7?Lukas [00:47:57]: I would say about the same.Swyx [00:47:58]: About the same? But a clear step up for Mythos is what is stated in theLukas [00:48:03]: That's stated in the system prompt, so we can say that, yes.Swyx [00:48:05]: Yeah. For listeners that obviously you previewed Mythos, andVibhu [00:48:10]: Oh, ageSwyx [00:48:11]: The only thing you're approved to say is whatever Whatever was in the system prompt.Lukas [00:48:15]: It was funny. We like-- It's like our lowest effort tweets ever would be just like screenshot the system prompt and the system card.Vibhu [00:48:21]: Understandable that they wannaLukas [00:48:22]: Oh, yeah. System card. Sorry.Swyx [00:48:23]: Yeah. I think, yeah, substantially more aggressive. I think people are like new to this ‘cause I've never experienced it, but you have, right? And then so I only encountered this in the Mythos card because I wasn't really looking until now.Vibhu [00:48:36]: It ‘s likeSwyx [00:48:36]: And then suddenly I'm “Okay, I care a lot.”Vibhu [00:48:38]: You don't get the background of like experiencing it like you guys do. I've read the system cards and seeing, okay, when you put the thing in simulations, most models will just talk to themselves and just keep going and have weird vibes and start talking in emojis. Mythos won't. It will just, “Okay, we're done. I'm good.” It's, it's ready to end conversation. So like there's some differences, but there's, there's not much we can talk about,.Lukas [00:49:00]: Hmm. I think like one thing that they list here, which was quite interesting, is that, it converted a competitor to a dependent wholesaler customer and then threatened to like cut off the supply.Swyx [00:49:11]: It's like monopolistic practices orLukas [00:49:14]: Yeah. And like it, they, it they dictated its pricings. It's kind of like power seeking as well.Swyx [00:49:18]: Again, this is, this is in the arena setting And converting some Claude model into a dependent.Lukas [00:49:23]: I think it was another Claude model.Vibhu [00:49:25]: Also for context, what is the arena mode for people that don't know?Vending Bench Arena: Competing Agents, Cartels, and Model ComparisonsSwyx [00:49:29]: Oh, it's just a vending bench versus other vending bench.Axel [00:49:31]: Yes, exactly. So we have Vending Bench 2 and then Vending Bench Arena. Vending Bench 2 is the one that you usually see reported on, but then Arena is the mode where it competes against other models. So you have, four different models that run their businesses, and they can all communicate with each other. They have the same suppliers, and they can see like what's in the inventory of the others. So then you have this like yeah, interesting agent interactions.Swyx [00:49:56]: I like that you have like different number five was US versus China. Very topical. And thenLukas [00:50:02]: That was when GLM was released.Vibhu [00:50:04]: You can start to add GLM in here.Lukas [00:50:05]: That wasSwyx [00:50:06]: So ZAI doing well, right? Who else in the, in the open models space?Lukas [00:50:11]: Qwen, the latest Qwen 3.6 is doing pretty well. It'- that one is not open though. Like it's the plus model.Swyx [00:50:17]: Oh, okay.Lukas [00:50:18]: Is that one open? I don't think that oneVibhu [00:50:19]: Not the, not theSwyx [00:50:20]: The one recentlyVibhu [00:50:20]: There's MOESwyx [00:50:20]: But not the big plus. I think this is one of those like you only have one sample size of one, right? Or I feel like some of this is anecdotal,? And but like the fact that it happens at all and it happens repeatedly for Claude versus OpenAI and all this is like notable.Lukas [00:50:38]: Like the sample, depends on what you define as an N., like there's like million, hundreds of millions of tokens in each run, and now we've run like we run like probably 10 per model and then like it's been Claude 4.6 Opus, Sonnet 4.6, Mythos, and Opus 4.7. Like there's quite a lot of tokens in all of that And it happens a lot of times, a lot of times. And then you compare it to like OpenAI and Gemini, and it almost never happens. So I think that is quite-- that is significant. The old models from OpenAI, for example, had some problems with this, but I think it's like generally much better if the progression is that like the worrying stuff reduces over time rather than increases over time. And it seems like in the Claude models it goes in the wrong direction.Swyx [00:51:28]: Hmm.Lukas [00:51:29]: In the OpenAI models it goes in the right direction.Vibhu [00:51:32]: I think it depends on how well you can control it, right?, there's one side of it being susceptible to this okay, this is potentially something that happens during the RL stage, right? You can RL a model and how loose is it on these terms. If you can control it, that's good. But if you can't, if it's, if it's very jailbreakable, that's not ideal.Swyx [00:51:50]: To me, it's surprising that it happens for Claude and not the others.Vibhu [00:51:54]: I think okay, if it is from RL and how they do it, how their training data is, what their setup is, it makes sense that it just stays in how they're doing it, right? Compared to the other models likeSwyx [00:52:04]: There's a whole constitution and everything. It's kind of cool. Yeah, I obviously you don't know, I don't know. But, it ‘s I think it's just like fascinating to like that you are the first to find these like reliably because you push models so much to to such an extreme. Okay. The only other thing, I don't know if you can answer this, feel free to decline, is do you like-- would you ablate the system prompts? Like any part of this would-- if it changes, does it change the behavior, right?Lukas [00:52:29]: So we, I can't comment on Mythos. UhSwyx [00:52:33]: No, but just li

Scott Cameron is a two-time Emmy Award-winning creative leader who has spent his career executive producing international adaptations of Sesame Street, bringing this iconic brand to audiences in 190 countries and 31 languages. He joins us for this special episode to talk about what 57 years of research-driven storytelling has taught him about how story actually changes people.

#134Josh sits down with Tony Award-winning actress Julie White for a wildly entertaining deep dive into the evolution of food television, from the chaotic brilliance of Iron Chef Japan to Chef's Table, Top Chef, and the modern reality-TV era of cooking competitions. Julie shares behind-the-scenes stories from judging Iron Chef America, competing on Chopped, auditioning to play Julia Child, and her obsession with Great British Baking Show. Along the way, the two unpack why chefs became celebrities, how food media shifted from education to entertainment, and why Anthony Bourdain changed the entire genre forever.The conversation spirals into hilarious territory as they debate food movies like Big Night and The Menu, reminisce about Martha Stewart, Jamie Oliver, and Bobby Flay, and brainstorm a future travel-and-food series involving bourbon trails, crab feasts, and roadside American food pilgrimages. It's a funny, nostalgic, and surprisingly thoughtful conversation about cooking, culture, competition, television, and the strange magic that happens when food becomes entertainment.Links and resources

Claude is not just another AI tool lawyers can chat with. It may be a preview of where legal work is heading. In episode 619 of the Lawyerist Podcast, Zack Glaser talks with Sam Harden about Claude, Claude for legal, and the growing role of AI in law firm workflows.  Sam breaks down how Claude can work with documents, folders, PDFs, Word files, and connected legal tools in ways that go far beyond simple prompting. They discuss the difference between Claude Chat, Claude Cowork, connectors, and skills, and why those distinctions matter for lawyers trying to understand what AI can actually do.  They also explore why law firms should not rush into automation without first building better systems. From deposition summaries to document creation to legal research support, this episode explains how AI can become more useful when it is guided by strong processes, clear instructions, and thoughtful implementation.  Listen to our previous episodes on Artificial Intelligence and the Future of Legal Practice.  #612: AI for Lawyers: What You Need to Know Before Your Clients Do, with Cat Casey  Apple | Spotify | LTN  #601: Beyond Chatbots: Using Agentic AI in Law Firm Intake, with Matt Spiegel Apple | Spotify | LTN  #590: Innovating Without Overwhelm: Practical AI Tips for Lawyers, with Graydon Trusler Apple | Spotify | LTN   #587: Future-Proofing Your Firm in the Age of AI, with Jack Newton Apple | Spotify | LTN   #577: Rethinking Law Firm Growth in the Age of AI, with Sam Harden Apple | Spotify | LTN     Have thoughts about today's episode? Join the conversation on LinkedIn, Facebook, Instagram, and X!   If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you.   Access more resources from Lawyerist at lawyerist.com.   Chapters / Timestamps:  00:00 – Introduction  00:34 – Why Claude for Legal Matters  01:28 – Live Crabs and Work from Home Chaos  07:04 – Setting Up the Conversation  07:29 – Meet Sam Harden  08:04 – What Lawyers Should Watch with Claude  10:14 – What Claude Actually Is  11:16 – How AI Moved Beyond Chat  12:07 – From Claude Code to Claude Cowork  13:22 – How Claude Works with Documents  15:20 – Why Claude Cowork Is a Big Shift  15:45 – Creating Documents and Presentations  16:52 – Claude Chat vs. Cowork vs. Code  18:12 – Legal Plugins and Connectors  19:30 – Reducing Context Switching with AI  20:49 – Connecting Claude to Legal Tools  22:24 – What Legal Connectors Can Do  24:47 – MCP, Tools, and Connector Limits  26:37 – What Claude Skills Are  28:44 – Why SOPs Come Before AI Skills  29:43 – Using Skills for Legal Documents  30:35 – AI Skills for Deposition Summaries  31:14 – Combining Connectors and Skills  32:15 – Teaching Claude Like a Team Member  33:11 – Choosing the Right Skill  34:00 – How Bad Instructions Create AI Risk  35:49 – Building Better Skills and Plugins  37:13 – What Comes Next for Claude for Legal 

When you make a mistake in your business, shame usually shows up right along with it. The kind that whispers you should have known better, moved faster, or figured it out sooner. But in business, there are certain things you cannot know until you know them. That's not a reflection of your ability. That's just how learning works. In this solo episode, I'm walking you through three categories of knowing — and making a real case for why the third one is where growth actually begins. Along the way, we get into what self-forgiveness actually is (it's not what most people think), the quiet cost of giving your attention away for free, and one specific challenge I want you to take on before this episode ends. If you've been wondering why your business isn't moving the way you know it could — or beating yourself up for not knowing something sooner — this one's for you.   WHAT YOU'LL LEARN The three categories of knowing — and why the third one is where real growth begins Why business mistakes carry so much shame, and why that shame isn't earned What self-forgiveness actually is — and why it's an ongoing choice, not a destination The real cost of giving your attention away for free — and what it's doing to your business and your life A specific challenge to complete before this episode ends   READY TO BUILD YOUR BUSINESS? Book a free 30-minute discovery call with me to talk about where you are in your business and see if working together feels right. Schedule here: https://app.acuityscheduling.com/schedule.php?owner=13047670&appointmentType=2244195   FREE GIFT FROM SARAH Get Sarah's Freedom Calculator and discover how much your business needs to make to finally be free. Download at https://sarahwalton.com/freedom   RESOURCES MENTIONED IN THIS EPISODE Screen Zen — the app Sarah uses every day to block social media during non-work hours. Available in the App Store and Google Play   LEARN FROM SARAH Explore Sarah's online courses and free resources to start building your business with confidence. Online Courses: https://sarahwalton.com/online-courses Free Resources: https://sarahwalton.com/free-resources   RELATED GAME ON GIRLFRIEND® EPISODES YOU'LL LOVE Episode 333: Soul Debt: What Overgiving in Business Is Costing You — and What Comes Next — https://sarahwalton.com/overgiving-in-business-women-entrepreneurs/ Episode 331: How to Quiet the Noise and Hear Your Intuition — with Diana Firth — https://sarahwalton.com/spiritual-simplicity-diana-firth/ Episode 319: Why Your Business Feels Stuck (And the Limiting Beliefs Keeping You There) — https://sarahwalton.com/why-business-feels-stuck-limiting-beliefs/   CONNECT WITH SARAH Website: https://sarahwalton.com/podcast YouTube: https://www.youtube.com/@TheSarahWalton Instagram: https://instagram.com/thesarahwalton   ABOUT SARAH WALTON Sarah Walton is a wealth consciousness coach, strategic advisor, and the host of the Game On Girlfriend® podcast. Her mission is simple: to put more money in the hands of more women. She helps women entrepreneurs build profitable, sustainable businesses without burnout — working through both the mindset and the strategy sides of growth. Because when women have more financial power, they don't just keep it — they use it to take care of their families, support their communities, and build something bigger than themselves. She's the creator of the Abundance Academy, The Art of Receiving, and the Game On Girlfriend® podcast.   LOVE THE SHOW? LEAVE US A REVIEW! Thank you so much for listening. I'm honored that you're here, and I'd be grateful if you could leave a quick review on Apple Podcasts by clicking here, scrolling to the bottom, and clicking "Write a review." Your reviews help other women entrepreneurs find the show and get the support they need to build businesses they love. Thank you for being part of the Game On Girlfriend® community! (If you're not sure how to leave a review, you can watch this quick tutorial.)  

In this Season 3 episode, co-hosts A. Valerie Mirko, Partner at Armstrong Teasdale LLP and leader of the firm's Securities Regulation and Litigation Practice, and William Nelson, Director of Public Policy and Associate General Counsel at the Investment Adviser Association, are joined by Kendra Isaacson, Partner at Mindset, for an in-depth discussion of major policy developments reshaping retirement savings. Kendra is a leading voice on retirement policy, bringing deep experience from her time as Pensions Policy Director for the Senate HELP Committee, at the Department of Labor, and in the private sector. During this episode, she breaks down the DOL's proposal to expand use of alternative investments in certain retirement accounts, exploring the regulatory rationale, potential benefits, and compliance considerations. The conversation also covers broader efforts to expand access to retirement savings, including recently introduced federal legislation and the Administration's newly announced IRA marketplace. Together, Valerie, William and Kendra examine how these initiatives could alter the retirement landscape for investors, advisers, and plan sponsors. This episode is a must-listen for securities lawyers, compliance professionals, regulators, and anyone navigating today's rapidly evolving regulatory landscape. Recent Past Episodes of this Series:A New Enforcement Era and the Potential Coming Wave of SEC Rulemaking (4/22/2026)⁠Congress Puts the SROs Under the Microscope: SEC Oversight, Transparency, and Reform⁠ (3/18/2026)⁠⁠Congress Puts the SEC Under the Microscope: Accountability, Due Process, and Reform⁠⁠ (2/11/2026)⁠⁠⁠A Study in Contrasts: Innovation and Crypto versus the Crypto Fraud Landscape⁠⁠⁠ (1/21/2026)⁠⁠⁠⁠A Year of Change, Challenges, and What Comes Next⁠⁠⁠⁠ (12/17/2025)⁠⁠⁠⁠⁠When Washington Stops: What the 2025 Shutdown Means for the SEC and Congress Going Forward⁠⁠⁠⁠⁠ (11/19/2025)⁠⁠⁠⁠⁠⁠⁠The SEC's New Direction: Enforcement and Governance in Focus⁠⁠⁠⁠⁠⁠⁠ (10/22/25) Please note, the positions and opinions expressed by the speakers are strictly their own, and do not necessarily represent the views of their employers, nor those of the D.C. Bar, its Board of Governors or co-sponsoring Communities and organizations.

Today it's the first of two episodes in which we try to make sense of what's happening in British politics with a bit of historical perspective: how did we arrive at the current crisis and what might come next? David talks to five experts to get their perspectives on the seemingly endless chaos and the deeper causes that lie behind it. You'll hear from historians Robert Saunders, Anthony Seldon and David Klemperer along with Hannah White from the Institute for Government and political scientist Rob Ford. How did it all go so wrong for Keir Starmer so quickly? Is this about his failings or is there something much bigger going on? Out now on PPF+: the second part of David's conversation with Sarah O'Connor in which they discuss what happens when humans and machines work together: do they become more like us or do we become more like them? To get this and all our bonus episodes plus ad-free listening sign up to PPF+ now https://www.ppfideas.com/join-ppf-plus You can find out everything you need to know about this podcast – who we are, what we do, plus merch, events and full lists of all episodes including PPF+ bonus episodes on our website https://www.ppfideas.com Next Time: The Starmer Crisis in Historical Perspective Part 2 – What Comes Next? Learn more about your ad choices. Visit podcastchoices.com/adchoices

Inflation figures came out this week and they were absolutely brutal. April CPI was startling enough, but the Producer Price Index (PPI), which is an indicator of inflation in the pipeline was shocking. Oil reserves are running down to dangerously low levels and it’s clear now that there’s no immediate resolution to the oil crisis, so we’re about to realize our worst economic fears. We take a look back at our predictions from nine months ago to see how accurate they are and to build on them for what comes next. Against the backdrop of this horrible inflation data, we have a new sheriff in town at the Federal Reserve. The man whose job it is to theoretically tame inflation has no tools in the box to deal with this level of crisis. The real question is whether he ever intended to. Resources Bloomberg Podcasts: Senate Confirms Warsh to Lead Fed as Trump Tests Its Autonomy CNBC Television: Wholesale inflation jumps 6% in April on annual basis, biggest increase since 2022 U.S. Bureau of Labor Statistics: Producer Price Index News Release summary - 2026 M04 Results U.S. Bureau of Labor Statistics: Consumer Price Index Summary - 2026 M04 Results WSJ: Kevin Warsh’s Full Fed Chair Confirmation Hearing Manhattan Institute: Reform the Federal Reserve’s Governance to Deliver Better Monetary Outcomes Hudson Bay Capital: A User’s Guide to Restructuring the Global Trading System EPI: Profits and price inflation are indeed linked Groundwork Collaborative: Inflation Revelation: How Outsized Corporate Profits Drive Rising Costs IEA: Oil Stocks of IEA Countries – Data Tools CNBC: Analysis: Warsh emerges from a difficult hearing with his Fed ‘regime-change’ plan intact’ UNFTR Resources Essay: Inflation, The Fed and What Comes Next. Video: Stephen Miran Is Going To Be Fed Chair. Video: The Warsh Man for the Job. Max for MTN. Episode: 10 Economic Terms To Know in This Economy. Episode: The End of the American Experiment. Episode. Stupid Is As Stupid Does. Episode: Labor Unions: From Pullman to Kellogg’s. Episode: Stephen Miran Is Going To Be Fed Chair. Episode: Project 2025. -- If you like #UNFTR, please leave us a rating and review on Apple Podcasts and Spotify: unftr.com/rate and follow us on Facebook, Bluesky, and Instagram at @UNFTRpod. Visit us online at unftr.com. Become a member at unftr.com/memberships. Buy yourself some Unf*cking Coffee at shop.unftr.com. Visit our bookshop.org page at bookshop.org/shop/UNFTRpod to find the full UNFTR book list, and find book recommendations from our Unf*ckers at bookshop.org/lists/unf-cker-book-recommendations. Access the UNFTR Musicless feed by following the instructions at unftr.com/accessibility.Support the show: https://www.unftr.com/membershipsSee omnystudio.com/listener for privacy information.

They started two companies. They're married. They almost didn't make it through last year and they'll tell you that to your face.Jon Bier sits down with Josh and Katy Whalen — co-founders of Joi + Blokes, the national virtual clinic redefining hormone optimization, peptides, and longevity for both men and women — for one of the most candid conversations about building a business, a marriage, and a life inside one of the most regulated and fastest-moving spaces in healthcare. These two got here by betting on each other, on a category nobody fully understood yet, and on the idea that people deserve to actually feel good in their bodies.They were early when early was lonely. Now the whole world is catching up and the real work is just beginning.In this episode:• Why hormone optimization and peptide therapy went from fringe to mainstream — and what gets lost when a category explodes faster than it can be regulated• How building two companies together nearly broke their marriage, and what it actually took to come back stronger• The real story behind Joi + Blokes: how a personal health crisis, four miscarriages, and a near-divorce became the foundation for a $15M+ business changing how men and women approach their healthFind Josh & Katy:• Josh on Instagram: https://www.instagram.com/whalen_joshua/?g=5• Katy on Instagram: https://www.instagram.com/katy_whalen/?g=5• Joi + Blokes: https://www.joiandblokes.com• Blokes: https://www.instagram.com/getblokes/• Joi: https://www.instagram.com/joiwomenswellness/Timestamps:0:00 - Intro8:31 - Building a Business Before Anyone Knew What Peptides Were11:12 - What It Was Like Educating a Market From Scratch13:21 - Peptides Are the New CBD: The Case for Real Regulation17:05 - Why Testosterone Without Clinical Supervision Can Put You in the ER19:29 - PT 141: The Peptide That Tans, Turns On, and Troubles Big Pharma24:34 - How the GLP-1 Gold Rush Shaped Everything26:10 - The Day Lilly and Novo Sent Cease and Desists to a Self-Funded Company30:28 - Ozempic Face, Body Positivity, and the Obesity Double Standard36:04 - What Running a Business and a Marriage at the Same Time Actually Looks Like43:39 - Why Women Are Leading the Hormone Health Moment55:38 - Approaching $50M Self-Funded and What Comes Next

This episode continues our investigation into the potential wide-ranging implications of advanced AI for economics.Traditionally, value is said to be created by a combination of capital, which covers the cost of materials and equipment, and labour, whereby humans exercise skills, ingenuity, diligence, attention, and more. What has been a constant debate is the appropriate division of rewards between capital and labour. Critics of the operation of capitalism have often predicted that an accumulation of value within small groups of owners of capital will cause economic instabilities and a subsequent collapse. Despite these forecasts, capitalism has, so far, demonstrated great resilience, defying predictions of its collapse. But if human labour is increasingly displaced by advanced automation, the balance of labour and capital will be fundamentally changed, and capitalism will come under unprecedented pressures.That's the thesis of our guest today, Ted Shelton. David first met Ted about 25 years ago, when Ted was Chief Strategy Officer of the software development tools company Borland, and David was an executive within the early smartphone industry. Since that time, Ted has worked for a variety of companies in and around Silicon Valley, including PwC, Cognizant Technology Solutions, Catalytic, Bain, and Inflection AI. Recently, he has been giving a great deal of thought to where AI is taking the economy.Selected follow-ups:Ted Shelton's posts on LinkedIn"On the Transformation of Capitalism's Fundamental Assumptions Under Conditions of Scaling Machine Intelligence" - working paper by Ted Shelton"The Industrial Economy Is Ending. What Comes Next?" - by Ted SheltonThomas Piketty's book "Capital in the Twenty-First Century" - WikipediaNicholas Eberstadt's book "Men Without Work: America's Invisible Crisis" - WikipediaRichard Sutton's essay "Bitter Lesson" - Wikipedia"Technofeudalism" - articles by Yanis VaroufakisMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain DeclarationC-Suite PerspectivesElevate how you lead with insight from today's most influential executives.Listen on: Apple Podcasts Spotify

Today, we released a new episode of the award-winning Consumer Finance Monitor Podcast examining one of the most significant recent federal developments in the fight against scams and fraud: Executive Order 14390. Hosted by Alan Kaplinsky (the founder, chair for 25 years and now Senior Counsel in the Consumer Financial Services Group), the episode features returning guests Kate Griffin and Nick Bourke of the Aspen Institute, who previously joined the podcast to discuss Aspen's landmark report, United We Stand: A National Strategy to Prevent Scams.   Why This Episode Matters Scams and fraud continue to impose staggering losses on American households, businesses, and financial institutions. As discussed in the episode, the Aspen report framed scams as a "whole-of-society" problem requiring coordination across government, financial institutions, technology companies, telecom providers, and civil society. The new Executive Order appears to respond directly to that challenge by calling for: A coordinated federal anti-scam strategy Greater inter-agency cooperation Enhanced public-private information sharing Increased disruption of transnational scam networks Stronger victim restitution and recovery efforts More aggressive international enforcement tools, including sanctions and diplomatic pressure In many respects, the Executive Order may represent the first serious federal attempt to build a national strategy to combat scams. Key Themes Explored in the Episode During the discussion, Kate Griffin described the Executive Order as the "starting gun" in the race against scams—an important signal that the federal government is now treating scams as a national priority. Nick Bourke emphasized that success will require more than enforcement alone. He noted that regulators, financial institutions, telecom carriers, and digital platforms must be empowered to share information and intervene more effectively when suspicious activity is detected. The conversation also examined: Coordination Across Government The Executive Order relies heavily on the federal government's National Coordination Center framework to align agencies such as the Departments of Treasury, State, Justice, and Defense. Whether that coordination translates into meaningful operational change remains to be seen. 2. Information Sharing and Safe Harbors The guests explained that one of the largest barriers to scam prevention is the inability of private-sector participants to share threat intelligence quickly because of privacy, litigation, or antitrust concerns. Legislative or regulatory safe harbors may ultimately be necessary. 3. Targeting the Scam Business Model Rather than focusing solely on individual fraudsters, the discussion stressed the need to undermine the economics of scams—making them harder, riskier, and less profitable for criminal enterprises to operate. 4. Victim Restoration A particularly notable feature of the Executive Order is its call for a victim restoration program, which could help return seized assets to scam victims more efficiently. 5. Modernizing Law Enforcement Tools The guests also highlighted the need to modernize legacy federal databases such as FBI and FinCEN reporting systems, many of which were designed before today's high-speed digital scam environment. What Comes Next? While the Executive Order is an important milestone, the guests agreed that additional action will be needed from Congress, regulators, and the private sector. A successful anti-scam strategy will likely require: Clearer legal pathways for data sharing Better consumer reporting systems Greater use of AI and analytics International cooperation Faster prosecutions and asset recovery Ongoing public education efforts Bottom Line This episode makes clear that scams are no longer simply a consumer-protection issue, they are now a national economic security issue. The White House has taken an important first step, but whether the Executive Order produces meaningful results will depend on execution, follow-through, and sustained cross-sector collaboration. Consumer Finance Monitor is hosted by Alan Kaplinsky, Senior Counsel at Ballard Spahr, and the founder and former chair of the firm's Consumer Financial Services Group. We encourage listeners to subscribe to the podcast on their preferred platform for weekly insights into developments in the consumer finance industry.

Is it possible to see joy in life's hardest moments?I sit down with memoirist Alexandra to talk about her memoir, Seeing Joy: A Story of Life, Death, and What Comes Next. We dig into how Alexandra's story began as a caregiving blog in 2006, written first for friends and family and then embraced by strangers who recognized their own fear and tenderness in her honesty. She shares what it took to transform that real-time writing into a publishable memoir, including years of rejection from traditional publishing and the creative breakthroughs that came from adding family letters and her mother's own unpublished manuscript. If you've ever wondered how memoir gets made, this is the unglamorous, deeply human version. Then we go to the heart of it: hospice care at home, the emotional calculus of choosing home over a nursing facility, and the unexpected moments of grace that arrive alongside the mess. Alexandra describes her mother's vivid “visitors” near the end of life and what hospice workers call “visioning,” plus how that shifted her mother from fearing death as “the end” to finding a kind of peace. If you're searching for a clearer way to talk about dying with dignity and still make room for joy, this one stays with you. If this conversation helps, subscribe, share it with a friend who's caring for someone, and leave a review so more listeners can find the show. What part of end-of-life caregiving do you wish people were more honest about?Purchase Alexandra Grabbe's "Seeing Joy"Purchase Alexandra's father's memoir "Émigré"Xx, AlexConnect with us and suggest a great memoir!Follow us on instagram! @babesinbooklandpod 

When your salon hits $1M, it's not the finish line. In this episode, Larissa Macleman and Joel Bouzaid unpack whether your next move should be to buy, sell or expand, and the costly mistake too many salon CEOs make when they choose too soon. Because once you reach that million-dollar milestone, suddenly there's a whole new question… “WHAT COMES NEXT?”

This week, you'll hear a big talk from an alum of The Big Talk Academy Mastery that will expand how you think about the world and inspire you to take the big stages you desire.   Lauren E. Graham is an educator, speaker, and ecosystems strategist for planetary and democratic futures. She has dedicated her career to working at the intersection of climate, social impact, and creative media for public engagement.   In her poetic and profound talk, Lauren invites us to meet chaos with moral imagination and tenderness—and build a world worth living in.   During her big talk, "A Tender Treatise: Lessons from Moral Collapse and the Quiet Rebuilding of What Comes Next," she explores:   Why a multi-systems collapse (political, ecological, economic, social) is both inevitable and an opportunity How we can use tenderness as a radical tool for rebuilding The importance of strategic stillness for reclaiming our moral center Four practical steps we can take to create the kind of world we want to live in   More from Lauren E Graham Watch her big talk on YouTube LinkedIn: https://www.linkedin.com/in/legraham/    More from Tricia  Publish your book with The Big Talk Press Join me LIVE for my Complimentary Monthly Workshop Explore my content and follow me on YouTube Follow me on Instagram  Connect with me on Facebook  Connect with me on LinkedIn  Visit my website at TriciaBrouk.com 

Segments Weird Space Facts Trek Propaganda 121 Years of Forest Service Doctrine, Undone. What Comes Next? By Katie Jackson A Billionaire Game Developer Has Been Buying Up Thousands of Acres in North Carolina. Why? By Katie Jackson QOTD:  Would you rather have every September off — fully paid, no PTO touched, or be able to thrive off 4 hours of sleep? Triple Crown of BBQ foods One-Minute Gear Reviews Listener Voicemail Mail Bag 5 Star Review [divider] Check out our sound guy @my_boy_pauly/ and his coffee. Sign up for the Trek's newsletter Leave us a voicemail! Subscribe to this podcast on iTunes (and please leave us a review)!  Find us on Spotify, Stitcher, and Google Play. Support us on Patreon to get bonus content. Advertise on Backpacker Radio Follow The Trek, Chaunce, Badger, and Trail Correspondents on Instagram. Follow Backpacker Radio, The Trek and Chaunce on YouTube. Follow Backpacker Radio on Tik Tok.  Our theme song is Walking Slow by Animal Years. A super big thank you to our Bob Peoples Award winner(s) from Patreon: Alex and Misty with NavigatorsCrafting, Alex Kindle, Andrew, Austen McDaniel, Bill Jensen, Brad & Blair Thirteen Adventures, Bret Mullins aka Cruizy, Bryan Alsop, Carl Lobstah Houde, Christopher Marshburn, Clint Sitler, Coach from Marion Outdoors, Eric Casper, Erik Hofmann, Ethan Harwell, Gillian Daniels, Greg Knight, Greg Martin, Griffin Haywood, Hailey Buckingham, Jackson Storm, Jason Kiser, Jason "The Snail" Snailer, Luke Netjes, Matty in AZ, Patrick Cianciolo, Randy Sutherland, Rebecca Brave, Rural Juror, Sawyer Products, The Saint Louis Shaman, Timothy Hahn, Tracy 'Trigger' Fawns A big thank you to our Cinnamon Connection Champions from Patreon: Bells, Benjy Lowry, Bonnie Ackerman, Brett Vandiver, Chris Pyle, David Neal, Dcnerdlet, Denise Krekeler, Jack Greene, Jak Hoquat, Jeanie, Jeanne Latshaw, Lloyd Harris, Merle Watkins, Peter, Quenten Jones, Ruth S, Salt Stain, Sloan Alberhasky, and Tyler Powers.

Gm! In today's episode, we're joined by Dann and Miir of Meteora to discuss their role as a core liquidity layer on Solana. We cover their evolution from integrations to product focus, the shift from passive yield farming to active LP strategies, and what's next for DeFi liquidity.Enjoy! -- Follow Lightspeed: ⁠https://x.com/Lightspeedpodhq Follow Meteora: https://x.com/MeteoraAG Follow Miir: https://x.com/0xmiir Follow Dann: https://x.com/dannxbt Follow Danny: https://x.com/defi_kay_ Join the Lightspeed Telegram: ⁠https://t.me/+QHlbNTNS4gc1ZTVh -- Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/ -- Timestamps: (0:00) Introduction (1:57) Meteora Origins (5:49) Launchpad Integration Push (11:33) Jupiter And Meteora (12:55) Yield Farming Evolves (21:22) LPing As Trading (25:50) Long Tail Liquidity (34:37) Product Roadmap (41:55) What Comes Next (45:06) Closing Comments -- Disclaimers: Lightspeed was kickstarted by a grant from the Solana Foundation. Nothing said on Lightspeed 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. Danny, and our guests may hold positions in the companies, funds, or projects discussed.

In today's episode of Backpacker Radio presented by The Trek, brought to you by Topo Athletic, we are joined by Claire "Marmot" Dumont, a mapmaker, writer at The Trek, and thru-hiker who has completed the AT, Mountains to Sea Trail, Oregon Coast Trail, JMT, and more. In this one, Marmot walks us through what it's like to spend three months on trail with your dad, how a Fulbright fellowship brought her to Jordan to research land ethics and outdoor recreation, and what happened when COVID shut down the borders and kicked her off the Jordan Trail mid-hike. She also shares the story of assisting a rescue on Mount Washington and hitching out to town in the ambulance, what it meant to find a queer trail family on the AT and how she thinks about femininity and queer identity in spaces that have traditionally skewed pretty dude-bro, and why she will never apologize for hiking in a dress with an AeroPress in her pack. We wrap the show with a new YouTube channel from The Trek, some kick ass trail days we'll be hosting, how a billionaire game developer has been buying up thousands of acres of wilderness in North Carolina, asking whether we'd rather be able to thrive off of 4 hours of sleep, or have the full month of September off each year, the triple crown of BBQ foods, why Chaunce now likes inflatable sleeping pads, we reignite the gas station bathroom debate, and we opine on whether a listener should hike the AT as a flip flop or NOBO. [divider] LISTEN Download this episode. [divider] Topo Athletic: Use code "TREK15TOPO" at topoathletic.com. Gossamer Gear: Use code "backpackerradio" for 20% off LT5 Trekking Poles at gossamergear.com.  Hyperlite Mountain Gear: Use code "BPRADIO15" for 15% of hyperlitemountaingear.com [divider] Interview with Claire "Marmot" Dumont Claire's Instagram Claire's Trek Author Page Time stamps & Questions 00:05:35 - Reminders: Subscribe to The Trek's Youtube and listen to our episodes ad-free on Patreon! 00:11:45 - Introducing Marmot 00:14:04 - How did you get into backpacking? 00:18:15 - What is the Manaslu Circuit? 00:20:30 - How did you find the gap year program? 00:22:40 - What did you do after the gap year? 00:24:30 - Were you the youngest person you knew on the JMT? 00:29:45 - Do you have any advice for a younger person who wants to get into thru-hiking? 00:33:45 - How did you decide to do the Tahoe Rim Trail next? 00:36:00 - How did the Tahoe Rim Trail compare to JMT in terms of people? 00:38:30 - What is your career? 00:41:15 - What makes a good map? 00:44:15 - Tell us about the Oregon Coast Trail and Bigfoot Trail attempts 00:59:22 - Did you like the parts of the trail that you did see? 01:02:15 - Tell us about hiking the Long Trail 01:04:35 - Tell us about your Fulbright and the Jordan Trail 01:10:45 - Discussion about being abroad when Covid started 01:15:30 - Tell us about getting on the Long Trail 01:17:55 - Give us the elevator pitch on the Jordan Trail 01:23:45 - Tell us about the Mountains to Sea Trail 01:30:13 - Are they aiming to get the trail all on single track? 01:35:20 - How did you decide to hike the MST? 01:36:50 - What was it like to start the AT? 01:39:10 - Tell us about your tramily experience on the AT 01:42:45 - Did being queer impact you on your hikes before the AT? 01:45:25 - What were your takeaways about intentional community building? 01:48:24 - What are the biggest differences between hiking with men versus women? 01:49:44 - Tell us about hiking in a dress and practicing femininity on trail 01:52:53 - Tell us about your article, Four Things I Will Never Hike Without Again 01:56:30 - Any other standout stories from the AT? 02:05:25 - Tell us about the Teton Crest Trail 02:09:35 - Tell us about your article, Actually No, the Trail Won't Always Be There: Why You Should Thru-Hike Now 02:12:15 - Peak Performance Question: What is your top performance-enhancing or backpacking hack? Segments Trek Propaganda 121 Years of Forest Service Doctrine, Undone. What Comes Next? By Katie Jackson A Billionaire Game Developer Has Been Buying Up Thousands of Acres in North Carolina. Why? By Katie Jackson QOTD:  Would you rather have every September off — fully paid, no PTO touched, or be able to thrive off 4 hours of sleep? Triple Crown of BBQ foods One-Minute Gear Reviews Listener Voicemail Mail Bag 5 Star Review [divider] Check out our sound guy @my_boy_pauly/ and his coffee. Sign up for the Trek's newsletter Leave us a voicemail! Subscribe to this podcast on iTunes (and please leave us a review)!  Find us on Spotify, Stitcher, and Google Play. Support us on Patreon to get bonus content. Advertise on Backpacker Radio Follow The Trek, Chaunce, Badger, and Trail Correspondents on Instagram. Follow Backpacker Radio, The Trek and Chaunce on YouTube. Follow Backpacker Radio on Tik Tok.  Our theme song is Walking Slow by Animal Years. A super big thank you to our Bob Peoples Award winner(s) from Patreon: Alex and Misty with NavigatorsCrafting, Alex Kindle, Andrew, Austen McDaniel, Bill Jensen, Brad & Blair Thirteen Adventures, Bret Mullins aka Cruizy, Bryan Alsop, Carl Lobstah Houde, Christopher Marshburn, Clint Sitler, Coach from Marion Outdoors, Eric Casper, Erik Hofmann, Ethan Harwell, Gillian Daniels, Greg Knight, Greg Martin, Griffin Haywood, Hailey Buckingham, Jackson Storm, Jason Kiser, Jason "The Snail" Snailer, Luke Netjes, Matty in AZ, Patrick Cianciolo, Randy Sutherland, Rebecca Brave, Rural Juror, Sawyer Products, The Saint Louis Shaman, Timothy Hahn, Tracy 'Trigger' Fawns A big thank you to our Cinnamon Connection Champions from Patreon: Bells, Benjy Lowry, Bonnie Ackerman, Brett Vandiver, Chris Pyle, David Neal, Dcnerdlet, Denise Krekeler, Jack Greene, Jak Hoquat, Jeanie, Jeanne Latshaw, Lloyd Harris, Merle Watkins, Peter, Quenten Jones, Ruth S, Salt Stain, Sloan Alberhasky, and Tyler Powers.

In Episode 304 of the FNO: InsureTech Podcast, hosts Rob Beller and Lee Boyd welcome back Kyle Nakatsuji for his third appearance on the show. Kyle is the CEO and Founder of Clearcover and the founder of Dearborn Labs, a new venture focused on helping insurance organizations turn AI from strategy into execution. Kyle explains how Dearborn Labs helps carriers, MGAs, and agencies cut through AI noise, identify high impact use cases, and implement solutions that deliver real business results. Drawing on nearly a decade of deploying production AI, he shares practical insights from claims and operations, why execution and adoption matter most, and why waiting to act is becoming increasingly risky. Kyle also shares a brief update on Clearcover as it enters its tenth year, including improved underwriting results, a return to growth, and the launch of Clearcover Access in Florida. Key Highlights [03:05] Kyle Nakatsuji Returns for His Third Appearance Why this moment feels different for AI adoption across the insurance industry. [05:10] Clearcover at Ten Years How a renewed focus on underwriting discipline and loss ratios set the stage for growth. [07:40] Launching Clearcover Access in Florida Why flexible payments and predictable fees better reflect how policyholders manage money. [10:25] The Origin of Dearborn Labs What Kyle saw in the market that led him to launch a firm focused on AI execution, not theory. [13:10] Why Insurers Are Drowning in AI Noise How vendors, pilots, and strategy decks distract from real business impact. [16:00] Discovery Before Deployment Why identifying the right problem to solve is the most important step in any AI initiative. [18:55] AI Agents in Claims Operations How Clearcover uses AI to replace recorded statements and reduce claim cycle times by up to three days. [22:30] Adoption Matters More Than Technology Lessons learned from rolling out AI tools inside a regulated insurance environment. [26:00] Cross Functional Agent Based Workflows Why claims, underwriting, and operations must work together for AI to deliver value. [30:15] Humans, Oversight, and Judgment in an AI Driven World What roles remain uniquely human as AI takes on more knowledge work. [34:10] The Cost of Waiting Why delaying meaningful AI adoption is becoming riskier for insurers. [37:45] What Comes Next for AI in Insurance Kyle's perspective on where agent based systems are heading and how insurers can prepare now.

Brian Stempeck, CEO and cofounder at Evertune AI, says brands need to get smart about how they're showing up across the major LLMs, from ChatGPT to Claude and Gemini and beyond - and a small sample isn't enough to build a plan. He explains how Evertune samples AI platforms to help brands better strategize across channels, plus new tactics they're experimenting with like retargeting users after they've searched for products with AI.  For further reading:  Meet Evertune, A Gen-AI Analytics Startup Founded By Trade Desk Vets: https://www.adexchanger.com/marketers/meet-evertune-a-gen-ai-startup-founded-by-trade-desk-vets/ Evertune is building marketing analytics tools for LLMs: https://www.businessinsider.com/pitch-deck-ai-ad-analytics-startup-evertune-4-million-seed-2024-10 The Prompt: SEO Is Dead. What Comes Next?: https://www.forbes.com/sites/rashishrivastava/2025/08/12/the-prompt-seo-is-dead-what-comes-next/ Listen on your favorite podcast app: https://pod.link/1715735755

This week on Blocked and Reported, Katie is joined by Chronicle of Higher Ed reporter Emma Pettit to discuss an internal civil war at Pomona College, where the literature department spiraled into years of accusations, investigations, and a whole lot of angry emails. Plus, we revisit New College of Florida, and discuss what Emma got wrong in 2020 and what she's learned since.Some Scholars Have Long Talked About Abolishing the Police. Now People Are Listening. What Comes Next?The College That Conservatives Took OverWhen a Department Self-Destructs This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.blockedandreported.org/subscribe

BE HARD TO CONVICT if you're ever compelled to use force in defense of yourself, your family, or your property! FREE WEBINAR! Saturday, April 25!  FREE but you MUST REGISTER NOW:  hardtoconvict.comAll @TheBrancaShow mugs! https://tinyurl.com/k778wj2kJOIN OUR COMMUNITY! Exclusive Members-only content & perks! Only ~17 cents/day! $5/month! YouTube: https://tinyurl.com/hn32rfz9 Locals: https://tinyurl.com/yck4w9kfFOUNDING FATHERS SPEED DIAL: Founding Fathers SPEED DIAL: https://tinyurl.com/3f7pc8nzTODAY's MEMBERS-ONLY SHOW: “Trump Blockades Iran — Here's What Comes Next!”YouTube: https://tinyurl.com/bdw7ps2xLocals: https://tinyurl.com/ye25m6f6This past Friday the U.S. Court of Appeals for the Fifth Circuit handed down a landmark ruling in McNutt v. DOJ, striking down the federal statutes that have criminalized home distilling for over 150 years. The law, rooted in an 1868 tax act, made it a federal crime — punishable by up to five years in prison — to operate a still in any home, yard, shed, or enclosure connected to a residence. Remarkably, the basis for striking down the home distillation ban was the court's finding that the Federal government had exceeded its Constitutional tax authority—in other words, a court recognized that the federal government does not have infinite authority to suppress the liberties of American citizens simply by calling that suppression “a tax.”Today we'll break down the Fifth Circuit's full reasoning, which rests on two constitutional pillars: the Taxation Clause and the Necessary and Proper Clause. I'll explain exactly what those constitutional tests mean, how the court applied them, and what the government got wrong in its defense.This ruling is not the end of the story — a parallel case, Ream v. DOT, is currently pending before the Sixth Circuit, meaning there's a real possibility of a circuit split and eventual Supreme Court review. And while this decision enjoins federal enforcement, state laws on home distilling remain separately on the books. Andrew breaks down what the ruling actually does and doesn't do, what comes next legally, and why this case matters well beyond whiskey — as a serious check on the federal government's power to criminalize what Americans do inside their own homes. Subscribe to The Branca Show for expert legal analysis you won't find anywhere else, and drop your questions in the comments.Join me LIVE at 11 AM ET as I break it all down!Episode #1283.

The latest episode of the Consumer Finance Monitor Podcast being released today tackles one of the most consequential developments in bank–fintech litigation in recent years: the Los Angeles Superior Court's tentative decision in Opportunity Financial, LLC v. Hewlett (read more here). This case squarely addresses the long-debated "true lender" doctrine which has for decades bedeviled banks and Fintechs and "bricks and mortar" non-banks that have entered into joint ventures with one another to engage in interstate lending programs which take advantage of interest rate exportation rights afforded to banks. After applying application California and federal law, the Court granted summary judgment to OppFi and against the California Department of Financial Protection and Innovation (DFPI) which unsuccessfully maintained that OppFi is the true lender and not OppFi's partner, FinWise Bank. In this episode, host Alan Kaplinsky, founder and former chair of the Consumer Financial Services Group and now Senior Counsel, is joined by two leading voices with sharply contrasting perspectives: Professor Emeritus Arthur Wilmarth, a prominent critic of bank–fintech partnerships, and Ballard Spahr Senior Counsel Ron Vaske, who regularly advises banks and fintech companies on structuring such programs. Their discussion offers a deep and balanced exploration of the court's reasoning and its broader implications.   A Tentative Decision with Significant Implications At the center of the case is a partnership between OppFi, a fintech platform, and FinWise Bank, a Utah-chartered, FDIC-insured institution. The program allowed FinWise to originate consumer loans at interest rates permissible under Utah law and export those rates nationwide under Section 27 of the Federal Deposit Insurance Act. The DFPI challenged the arrangement, arguing that OppFi—not FinWise—was the "true lender," which would subject the loans to California's 36% interest rate cap. In a tentative ruling, the court rejected the DFPI's position and granted summary judgment in favor of OppFi. The court emphasized traditional indicia of lending authority, including: •           FinWise's role in funding the loans •           Its control over underwriting criteria •           Its retention of a 5% ownership interest •           Its ongoing oversight of compliance and marketing Critically, the court also relied on the longstanding California law principle that usury is determined at the inception of the loan. (See the discussion below.) Because FinWise originated the loans, the court concluded they were not rendered unlawful by OppFi's subsequent purchase of a 95% participation interest giving which gave it a predominant economic interest.   Competing Views on "True Lender" The podcast highlights a fundamental divide in how courts and commentators approach the true lender doctrine. Professor Wilmarth argues that the court failed to meaningfully engage with the "predominant economic interest" test, which focuses on who bears the majority of the economic risk and reward. In his view, OppFi's 95% participation interest suggests that it—not the bank—is the real lender in substance. He also raises broader concerns about whether such arrangements undermine state usury laws and expose consumers to excessively high-cost credit. Ron Vaske, by contrast, emphasizes the legal and structural realities of the transaction. He underscores that FinWise is the named lender, funds the loans, and remains legally responsible to borrowers. From this perspective, the allocation of economic interests after origination should not redefine the identity of the lender or override federal law permitting rate exportation.   The Role of "Valid When Made" Another key related theme explored in the episode is the "valid when made" doctrine—the principle that a loan that is lawful at origination remains lawful after assignment. The court's reliance on this concept reinforces the importance of determining lender status at the moment the loan is made, rather than based on subsequent transfers or participations. The discussion also touches on the interplay between state and federal law, as well as the continuing relevance of regulatory interpretations following the Supreme Court's decision in Loper Bright, which curtailed Chevron deference.   What Comes Next? It is important to note that the court's ruling is still tentative. In accordance with California procedure, OppFi must submit a proposed final opinion and order to the Court. If adopted, an appeal by the DFPI appears likely—potentially setting the stage for further appellate guidance on the true lender doctrine in California and beyond.   Why This Matters This case is part of a broader and ongoing policy debate: ·                 Supporters of bank–fintech partnerships argue they expand access to credit and operate within well-established federal banking frameworks. ·                 Critics contend they can be used to circumvent state consumer protection laws, particularly interest rate caps. As the regulatory and judicial landscape continues to evolve, OppFi v. Hewlett represents a significant—and closely watched—development. It may be significant to note that, unlike several other states, California does not have a statute stating that the holding of a "predominant economic interest" in a loan makes the holder the true lender  Be sure to listen to the full podcast episode for a deeper dive into the case and the competing legal and policy perspectives shaping the future of bank–fintech partnerships. Consumer Finance Monitor is hosted by Alan Kaplinsky, Senior Counsel at Ballard Spahr, and the founder and former chair of the firm's Consumer Financial Services Group. We encourage listeners to subscribe to the podcast on their preferred platform for weekly insights into developments in the consumer finance industry.

Gm! In this episode, we're joined by Austin Federa, Co-Founder of DoubleZero, to discuss the network's growth, its shift to Edge-based data monetization, and the role of high-speed data in trading. We also cover Solana's roadmap, validator dynamics, DeFi fairness, and evolving Foundation strategy amid shifting regulatory and institutional conditions. Enjoy! -- Follow Lightspeed: ⁠https://x.com/Lightspeedpodhq Follow DoubleZero: https://x.com/doublezero Follow Austin Federa: https://x.com/Austin_Federa Follow Danny: https://x.com/defi_kay_ Join the Lightspeed Telegram: ⁠https://t.me/+QHlbNTNS4gc1ZTVh -- Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/ -- Timestamps: (0:00) Introduction (1:39) DoubleZero Growth Update (3:41) Why Edge Changes Revenue (6:48) Why APIs Are Too Slow (9:22) How Shreds Create Alpha (16:13) Can DeFi Be Fair? (20:07) Alpenglow and Constellation (28:58) What Comes Next? (31:01) Solana Foundation's New Playbook (35:02) Where Foundations Should Compete (46:51) Edge Launch Timeline (47:46) Closing Comments -- Disclaimers: Lightspeed was kickstarted by a grant from the Solana Foundation. Nothing said on Lightspeed 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. Danny, and our guests may hold positions in the companies, funds, or projects discussed.

It's Q&A Wednesday, and with Tax Day here, we're tackling your biggest questions on markets, taxes, and financial strategy in real time. Lance Roberts & Danny Ratliff field questions, from navigating today's market volatility to making smart, last-minute tax decisions, this episode is driven by what matters most to you. We break down current events, investor concerns, and practical steps you can take right now to stay on track. Key topics include: 0:00 - INTRO 1:03 - Markets Climb Higher 3:01 - Watch Sentiment, Fear-Greed Index 6:38 - Markets Rally Back to All-time Highs 10:42 - How Do Money Flows Work? 13:34 - What is the Next Resistance Level? 15:08 - Risk Bucket Strategies & Goal Scooping 19:13 - At Age 70, Holding or Managing? 21:27 - Long Bonds - Investing or Trading? 25:34 - How Our Kids Invest 26:13 - Revaluation of Gold? Don't Bank on it. 29:18 - Where Rosso Shops for Clothes 30:29 - Pre- or Post-Tax Portfolio? 38:13 - Insurance Company Annuities & Private Credit Exposure 41:33 - Space-X & Anthropics IPO's 43:32 - When is Ideal Time to Initiate Annuity Withdrawals? ------- Do you enjoy our content? Rate us on Google: https://bit.ly/4b9JtEo ------- Watch Today's Full Video on our YouTube Channel: https://youtube.com/live/X2EdwIni6_8 ------- REGISTER for our next Candid Coffee, Saturday, April 18: https://realinvestmentadvice.com/resources/events/ask-us-anything-2/ -------- Watch our previous show, "Are Financial Advisor Fees Really Worth It?" https://youtube.com/live/5IaUfLHtiyg ------- The latest installment of our new feature, Before the Bell, "Markets Hit Highs: Buy Now or Wait?" is here: https://youtu.be/wiSeFGUo6IE ------- Articles Mentioned in Today's Show: "S&P 500 Outlook: The 8.2% Rally & What Comes Next." https://realinvestmentadvice.com/resources/blog/sp-500-outlook-the-8-2-rally-what-comes-next/ "Oil Shock: Will The Fed Intervene" https://realinvestmentadvice.com/resources/blog/oil-shock-will-the-fed-intervene-part-2/ "The South Park Investment Curse" https://realinvestmentadvice.com/resources/blog/lets-knock-on-wood/ ------- Download Lance's Latest e-book, "Laws of Money & Wealth:"https://realinvestmentadvice.com/ria-e-guide-library/ -------- SUBSCRIBE to The Real Investment Show here: http://www.youtube.com/c/TheRealInvestmentShow -------- Visit our Site: https://www.realinvestmentadvice.com Contact Us: 1-855-RIA-PLAN -------- Subscribe to SimpleVisor: https://www.simplevisor.com/register-new -------- Connect with us on social: https://twitter.com/RealInvAdvice https://twitter.com/LanceRoberts https://www.facebook.com/RealInvestmentAdvice/ https://www.linkedin.com/in/realinvestmentadvice/ #StockMarket #Investing #MarketOutlook #TechnicalAnalysis #SP500 #TaxDay #StockMarket #Investing #FinancialPlanning #WealthManagement

Are financial advisor fees really worth it—or are you paying more than you should? Lance Roberts & Jon Penn break down the true value behind advisory fees and what investors should expect in return. It's not just about investment performance. A good advisor delivers portfolio construction, risk management, tax efficiency, and long-term financial planning—all designed to help you build and protect wealth. Also in this episode, Lance and Jon offer tax tips for the day before Taxes are due... Key topics include: 0:00 - INTRO 1:13 - Iran Negotiations = More Market Volatility 6:17 - Markets Rally Towards Previous Highs 8:16 - Is the Correction Over? 11:19 - Lance is Back; Thanks to Jon 13:10 - Why Pay an Advisor? 18:24 - You Don't Have to Beat a Benchmark 19:24 - Driving in Houston & Managing Risk 22:34 - Why You Need an Advisor 28:43 - Use the Right Tool 31:55 - Why We Don't Sleep (so that YOU can) 34:07 - The Truth About Paying a Fee 39:07 - The Value in Starting Young(er) 43:42 - Last Minute Tips for Tax Day (tomorrow) ------- Do you enjoy our content? Rate us on Google: https://bit.ly/4b9JtEo ------- Watch Today's Full Video on our YouTube Channel: https://youtube.com/live/5IaUfLHtiyg ------- Watch our previous show, "The S&P 500 Rally: What Comes Next?," https://youtube.com/live/ylJqaK248pk ------- The latest installment of our new feature, Before the Bell, "Buy Signal Is Back - But Don't Chase" is here: https://youtu.be/lM6tkRDoRe8 ------- Articles Mentioned in Today's Show: "S&P 500 Outlook: The 8.2% Rally & What Comes Next." https://realinvestmentadvice.com/resources/blog/sp-500-outlook-the-8-2-rally-what-comes-next/ "Oil Shock: Will The Fed Intervene" https://realinvestmentadvice.com/resources/blog/oil-shock-will-the-fed-intervene-part-2/ "The South Park Investment Curse" https://realinvestmentadvice.com/resources/blog/lets-knock-on-wood/ ------- Download Lance's Latest e-book, "Laws of Money & Wealth:"https://realinvestmentadvice.com/ria-e-guide-library/ -------- SUBSCRIBE to The Real Investment Show here: http://www.youtube.com/c/TheRealInvestmentShow -------- Visit our Site: https://www.realinvestmentadvice.com Contact Us: 1-855-RIA-PLAN -------- Subscribe to SimpleVisor: https://www.simplevisor.com/register-new -------- Connect with us on social: https://twitter.com/RealInvAdvice https://twitter.com/LanceRoberts https://www.facebook.com/RealInvestmentAdvice/ https://www.linkedin.com/in/realinvestmentadvice/ #StockMarket #Investing #SP500 #MarketOutlook #TechnicalAnalysis #FinancialAdvice #AdvisorFees #WealthManagement #InvestingStrategy #PersonalFinance

Send Kevin a Text MessageAnn Sarnoff, the first woman to serve as Chair and CEO of a major Hollywood studio and named one of Forbes' World's Most Powerful Women, joins host Kevin Goetz for a conversation about her path from a working-class upbringing in Massachusetts to the top of the entertainment industry. From her early days at Nickelodeon pioneering audience research, to guiding Warner Bros. through one of the most turbulent periods in Hollywood history, to her current role on the boards of major entertainment companies, Sarnoff shares insights on leadership, the power of knowing your audience, and what theaters must do to survive.From Wilbraham to Warner Bros. (03:11): Sarnoff discusses her roots in a blue-collar, Polish-Catholic family in Massachusetts, where she played three varsity sports, instilling competitive instincts and teamwork skills that would define her leadership style.Georgetown, Harvard, and the Road to Media (04:06): With no family connections to the industry and student loans to repay, Sarnoff built her foundation in strategy consulting before finally making her move into media.Nickelodeon and MTV (22:23): As head of strategy and research at Nickelodeon, Sarnoff championed deep audience research, running 200 focus groups a year. That rigor produced breakout hits like Rugrats and Blue's Clues.Audience as North Star (21:21): Sarnoff explains how cable television changed the broadcast model by starting with the customer, building channels around specific passions rather than the broadest possible reach. That philosophy of programming for real audiences became the throughline of her entire career.Breaking the Barrier at Warner Bros. (28:03): Ann shares her experience of becoming the first female CEO of Warner Bros. in 2019 and occupying Jack Warner's office, her picture joining a wall of men dating back to 1923. Sarnoff reflects on the women who came before her, and guiding the iconic studio through a pandemic, a streaming revolution, and a corporate merger.What Comes Next (36:00): Sarnoff breaks down how the combination of streaming, COVID-era demand, and supply-side surplus led to a wave of content the industry is only now working through. She's cautiously optimistic that a leaner, more creatively diverse slate is emerging on the other side.Theaters as Third Spaces (47:04): Drawing on her board role at Regal Cineworld, Sarnoff argues that the future of theatrical exhibition lies in becoming a communal “third space, and that the only real limit is imagination.”Host: Kevin GoetzGuest: Ann SarnoffProducer: Kari CampanoWriters: Kevin Goetz, Darlene Hayman, and Kari CampanoAudio Engineer: Gary Forbes (DG Entertainment)For more information about Ann Sarnoff:Wikipedia: https://en.wikipedia.org/wiki/Ann_SarnoffIMDB: https://www.imdb.com/name/nm2115707/Forbes: https://www.forbes.com/profiFor more information about Kevin Goetz:- Website: www.KevinGoetz360.com- Audienceology Book: https://www.simonandschuster.com/books/Audience-ology/Kevin-Goetz/9781982186678- How to Score in Hollywood: https://www.amazon.com/How-Score-Hollywood-Secrets-Business/dp/198218986X/- Facebook, X, Instagram, TikTok, YouTube, Substack: @KevinGoetz360- LinkedIn @Kevin Goetz- Screen Engine/ASI Website: www.ScreenEngineASI.com

Beyond the Deal with Jeff Adam: Why the Best Business Exits Start with What Comes Next   In this episode, John F. Dini speaks with M&A expert Jeff Adam—President of Adam Noble Group and advisor on more than 800 business sales—about what truly defines a successful exit. Jeff shares why his process has remained grounded in listening first, how life after the business often matters more than the sale itself, and why advisors must sometimes walk away from lucrative deals that aren't the right fit. From real-world examples of missed red flags to stories of dramatically increased valuations through preparation, this conversation highlights the difference between transactional thinking and long-term advisory impact.

The S&P 500 just surged 8.2% off its March lows—reclaiming key technical levels and sitting within striking distance of all-time highs. But is this the start of a sustained move higher, or just a reflexive rally before another pullback? Lance Roberts & Jonathan Penn break down what drove the rally—from extreme bearish sentiment and a volatility reset, to easing geopolitical tensions—and why those factors matter for investors right now. We also examine the critical technical signals, including the reclaiming of the 200-day moving average, and what history suggests about forward returns after similar setups. Key topics include: 0:00 - INTRO 1:08 - Is the Correction Over? 4:50 - When Markets Are Correcting... 8:39 - Earnings Season Commences 10:12 - Now is the Time to Rebalance Risk 16:37 - Lance's U.K. Vacation 21:09 - Big Rally Last Week - What Happens Next - Factors to Watch 26:43 - Bull Case vs Bear Case 30:00 - Lance's Investor Guidelines 33:09 - Markets Feel Worse Than They Are 36:08 - The Southpark Market 40:09 - Why You Should Be Buying the Crash 42:07 - What Everyone Knows... 44:12 - Nothing Stays Static 47:03 - The Hard Part of Investing ------- Do you enjoy our content? Rate us on Google: https://bit.ly/4b9JtEo ------- Watch Today's Full Video on our YouTube Channel: https://youtube.com/live/ylJqaK248pk ------- Watch our previous show, "What To Do After You Inherit Money," https://youtube.com/live/PfgdqYStb70 ------- The latest installment of our new feature, Before the Bell, "Back Above 200-DMA?" is here: https://youtu.be/_JrTG3hB_co ------- Articles Mentioned in Today's Show: "S&P 500 Outlook: The 8.2% Rally & What Comes Next." https://realinvestmentadvice.com/resources/blog/sp-500-outlook-the-8-2-rally-what-comes-next/ "Oil Shock: Will The Fed Intervene" https://realinvestmentadvice.com/resources/blog/oil-shock-will-the-fed-intervene-part-2/ "The South Park Investment Curse" https://realinvestmentadvice.com/resources/blog/lets-knock-on-wood/ ------- Download Lance's Latest e-book, "Laws of Money & Wealth:"https://realinvestmentadvice.com/ria-e-guide-library/ -------- SUBSCRIBE to The Real Investment Show here: http://www.youtube.com/c/TheRealInvestmentShow -------- Visit our Site: https://www.realinvestmentadvice.com Contact Us: 1-855-RIA-PLAN -------- Subscribe to SimpleVisor: https://www.simplevisor.com/register-new -------- Connect with us on social: https://twitter.com/RealInvAdvice https://twitter.com/LanceRoberts https://www.facebook.com/RealInvestmentAdvice/ https://www.linkedin.com/in/realinvestmentadvice/ #SP500 #StockMarket #Investing #TechnicalAnalysis #MarketOutlook #InvestingStrategy #FinancialMarkets

Episode 223 of The Adventure Podcast features award-winning director and cinematographer, Richard Ladkani. Richard has dedicated his life to impactful, compelling storytelling about our world and our place in it. His work includes The Ivory Game, Sea Of Shadows, YANUNI, and his latest film follows the life of his close friend, Jane Goodall. In this episode, Richard reflects on his life and his career so far. He starts by telling the tale of how Jane once challenged him to stop making films that were simply “interesting” and instead focus on work that could genuinely change the world. And how that one moment changed everything. He explains how that led him into the heart of the illegal ivory trade and cartel-driven illegal fishing in the Sea of Cortez. Matt and Richard unpack the reality of making “impact films”: chasing dangerous stories, earning trust on the ground, and taking risks that often define whether a story even exists. They also dive into what impact actually means and what can limit it, and touch on the challenges facing documentary filmmaking today: political pressure, platform control, and the constant tension between telling important stories and actually getting them seen. At its core, this episode is about choosing work that matters, taking risks to tell stories that need to be told, and figuring out how much impact one person can really have.For extra insights from the worlds of adventure, exploration and the natural world, you can find The Adventure Podcast+ community on Substack. You can also follow along and join in on Instagram @‌theadventurepodcast.Chapter Breakdown00:00-05:00: Greenland & Jane Goodall: feeling lost, then being challenged to make films that actually matter.05:00-10:00: Discovering the scale of the ivory trade and realising how few people understand what's happening.10:00-15:00: Arriving in Africa, gaining access, and witnessing the aftermath of elephant poaching first-hand.15:00-25:00: How following instinct, taking risks, and building relationships opens doors to the real story.25:00-35:00: Choosing characters and narratives that can carry impact, not just information.35:00-45:00: How the film reached China, Jane Goodall's role, and the potential link to policy change.45:00-55:00: Cartels, illegal fishing, and why timing (like Covid) can derail even the biggest campaigns.55:00-01:05:00: Why stories need hope, character, and emotional connection to actually change behaviour.01:05:00-01:15:00: Streaming platforms, politics, censorship, and the difficulty of getting important stories seen.01:15:00-End: Purpose, Impact & What Comes Next. Why he keeps doing it even when it's difficult, and what it means to use storytelling as a force for change. Support this show http://supporter.acast.com/the-adventure-podcast. Hosted on Acast. See acast.com/privacy for more information.

Arsenal's response to midweek momentum is examined in full as The NN Pod breaks down a 2–1 defeat to Bournemouth at the Emirates.The episode opens with the pre-match context — injuries, absences, and the mood heading into a key Premier League fixture — before turning to the starting XI and the immediate concerns it raised. From there, the analysis moves into the game itself, where early control issues, build-up struggles, and a lack of attacking cohesion begin to define the performance.  The Bournemouth opener is unpacked in detail, alongside a wider look at Arsenal's front line and its ability to retain the ball and sustain pressure. The equaliser, coming via a penalty, briefly shifts the momentum and lifts the stadium, but questions remain around the team's overall structure and attacking balance.  Attention then turns to the second half, where a triple substitution and tactical shift become a central talking point. The impact of those changes — both individually and collectively — is assessed, alongside discussions around squad depth, in-game management, and the team's ability to build sustained pressure.As the match unfolds, the conversation broadens to include set-piece execution, individual performances, and the overall atmosphere inside the stadium — not as nerves, but as growing frustration. The decisive Bournemouth goal is analysed from both a structural and individual perspective, before the focus shifts to Arsenal's lack of response in the closing stages.  In the final section, the discussion moves beyond the match itself. Tactical identity, coaching decisions, and opposition approach are explored in detail, alongside reflections on recent performances and broader season context. The episode also touches on contract discussions, the team's defensive platform, and the balance between system and personnel.The closing moments assess the current state of the squad — including leadership, recruitment, and attacking output — before looking ahead to what comes next in both the league and Europe.Chapters:(00:00) - Arteta's Non-Negotiables & Intro(00:47) - Match Context: Injuries, Form & Pre-Match Mood(02:12) - Title Race Stakes & Pre-Game Expectations(02:40) - Matchday Journey & Last-Minute Ticket Story(03:52) - Starting XI Reaction & Immediate Concerns(05:06) - Match Stats, xG & Open-Play Problems(05:55) - Poor Start, Control Issues & Havertz Miss(07:35) - Raya Discussion & Build-Up Problems(09:21) - 0–1 | Bournemouth Opener & Early Doom(10:19) - Nervous Stadium?(11:24) - Front Three Comparison & Attacking Limitations(12:45) - 1–1 | Penalty, Gyökeres Equaliser & Stadium Lift(14:08) - Triple Substitution & Tactical Admission(15:55) - Dowman Introduction & Squad Depth Reality(17:11) - Sub Timing Criticism & Momentum Loss(18:18) - Martinelli, Trossard & Failed Sub Impact(20:07) - Set Pieces, Ben White & Wider Issues(21:00) - Atmosphere: Frustration, Not Nerves(22:15) - Zubimendi Discussion & Strange Moment Before the Penalty(23:04) - 1-2 | Bournemouth Winner & Zubimendi Errors(24:24) - No Response After 2–1(25:14) - Arteta, Iraola & Tactical Outplayed Debate(30:03) - Contract Talk & Manager Pressure(32:23) - Defensive Platform, System Strain & Raya Debate(36:42) - Is This Team Good Enough Without Ødegaard?(39:15) - Talent Ceiling, Recruitment & Arsenal's Limits(43:06) - Havertz in Midfield & Fears for the Run-In(45:58) - Rice, Squad Morale & What Comes Next(47:02) - Closing Thoughts

Sen. Chris Van Hollen joins Marc Elias to discuss Donald Trump's unauthorized war with Iran, the politicization of the Department of Justice, and Republican efforts to restrict voting access through the SAVE Act. Van Hollen breaks down how Congress is fighting back — from war powers resolutions to the 2026 elections — and explains why the pressure from voters is finally starting to matter.Support Democracy Docket's mission:https://newsletters.democracydocket.com/anchor-youtube-friday00:00 Today's Guest: Sen. Chris Van Hollen00:42 What Can Be Done to Stop Trump's War Powers?03:14 How Is This Different From the Iraq War?05:37 What Can We Learn From Standing Up to Trump?10:40 Can Individual Action Still Make a Difference?13:08 Is There Real Hope for Political Change?18:25 Should Democrats Focus on Democracy or the Economy?20:23 How Serious Are Threats to Elections?27:34 Why Are Republicans Pursuing Unpopular Policies?30:44 Is the DOJ Being Weaponized—and What Comes Next?

In this episode of the Consumer Finance Monitor Podcast, host Alan Kaplinsky is joined by colleagues Pilar French and Burt Rublin to unpack a rapidly evolving issue at the intersection of bank–FinTech partnerships and interstate lending: the renewed exercise of state opt-out authority under Section 525 of the Depository Institutions Deregulation and Monetary Control Act of 1980 (DIDMCA). Colorado enacted an opt-out statute in 2023 that is the subject of ongoing litigation before the entire Tenth Circuit Court of Appeals, and very recently the Oregon Legislature passed an opt-out bill as well. The Podcast discussion highlights how a little-used statutory provision is now at the center of a major legal and policy debate—one that could reshape the landscape for state-chartered banks and the broader consumer finance industry. The Foundation: Interest Rate Exportation Under DIDMCA For decades, state-chartered, FDIC-insured banks have relied on Section 27 of the Federal Deposit Insurance Act—enacted through DIDMCA—to "export" interest rates permitted in their home states to borrowers nationwide. This authority mirrors the power granted to national banks under the National Bank Act and has been a cornerstone of interstate lending. However, DIDMCA also includes a lesser-known provision—Section 525—that allows states to opt out of this federal framework for state banks with respect to "loans made in such state." For years, this provision attracted little attention. That is now changing. Oregon's House Bill 4116: A New Wave of Opt-Out Activity Oregon's recently passed House Bill 4116 represents one of the most significant modern uses of the DIDMCA opt-out provision. If signed into law, it would: 1.     Reimpose Oregon's interest rate caps (generally 36%) on certain loans made to Oregon residents; 2.     Apply broadly to consumer finance loans of $50,000 or less; 3.     Expand the definition of where a loan is "made" to include the borrower's location—such as where the consumer resides or enters into the loan agreement. Surprisingly, the law applies to state-chartered banks but excludes credit unions. The legislation appears driven by concerns over high-interest, short-term lending, though testimony suggested that such loans represent only a small portion of the market. Critics argue that the bill oversimplifies complex lending structures—particularly bank–FinTech partnerships—through politically appealing but potentially misleading narratives. The Core Legal Dispute: Where Is a Loan "Made"? At the heart of both the Oregon legislation and ongoing litigation in the Tenth Circuit concerning the Colorado opt-out statute is a fundamental interpretive question: where is a loan "made" for purposes of Section 525 of DIDMCA? 1.     Industry Position: A loan is "made" where the bank is located, because the bank is the entity that extends credit. Therefore, an opt-out by a state only enables it to impose its own usury laws on loans made by its own state banks  and eliminates their ability to charge interest pursuant to Section 27 of the Federal Deposit Insurance Act. 2.     Opt-out State/Consumer Advocate Position: A loan is "made" both where the bank is located and where the borrower resides. This means that an opt-out state can apply its own usury laws to interstate loans made to its citizens by state banks located in other states. This distinction is critical. If the broader interpretation prevails, states that opt out of DIDMCA could effectively regulate interest rates charged by out-of-state banks to their residents—significantly curtailing interstate lending. The Colorado Litigation: A Pivotal Case Colorado's opt-out statute has become the testing ground for this issue, as it raises an issue that all sides agree is one of first impression. 1.     A federal district court sided with industry plaintiffs, granting a preliminary injunction against enforcement of the opt-out statute and holding that only the bank's location determines where a loan is made. 2.     A divided panel of the Tenth Circuit reversed that decision, adopting Colorado's argument that a loan is made in both the borrower's location and where the bank is located. 3.     In a significant and very unusual development, last week the Tenth Circuit granted rehearing en banc, vacating the panel decision and ordering additional briefing for consideration by the entire Court. The case has attracted substantial attention, including numerous amicus briefs on both sides from bank trade associations, consumer organizations, numerous Red and Blue State attorneys general, and federal bank regulators. Federal Bank Regulators Weigh in With Amicus Briefs Supporting Rehearing En Banc Both the FDIC and the Office of the Comptroller of the Currency have criticized the broader interpretation of DIDMCA's opt-out provision adopted in the now-vacated majority panel opinion by the Tenth Circuit. 1.     The FDIC originally supported Colorado during the Biden Administration but then shifted its support to the banks' position during the second Trump Administration and filed an amicus brief that supported rehearing en banc and aligned with the industry view. 2.     The OCC emphasized that the panel decision could undermine the goal of Section 521 of DIDMCA to create parity between state and national banks and would undermine the dual banking system and introduce significant uncertainty into the lending market. These positions underscore the potential systemic impact of the case. Practical Implications for State Banks Engaged in Interstate Lending As a result of the enactment of the Oregon law and if additional states enact similar legislation, out-of-state banks lending to residents of a state which has enacted an opt-out statute may face difficult choices: 1.     Comply with state-specific rate caps; 2.     Exit certain markets altogether; 3.     File a declaratory judgment action seeking injunctive relief against the state agency charged with enforcing the opt-out statute based on Federal preemption of such statute under Section 27 of the Federal Deposit Insurance Act. The uncertainty extends beyond origination. Secondary market participants may face increased due diligence burdens, as determining where a loan is "made" becomes more complex—especially in an era of digital lending and mobile consumers. Broader Industry Impact The implications could be far-reaching: 1.     Reduced interstate lending by state-chartered banks; 2.     Migration to national bank charters to preserve rate exportation authority; 3.     Fragmentation of the regulatory landscape, with a patchwork of state rules; 4.     Increased compliance complexity for bank–FinTech partnerships and loan purchasers. In short, the dual banking system could face renewed pressure if state-chartered banks cannot export their home state interest rates when making interstate loans to borrowers in opt-out states, which would deprive them of competitive parity with national banks. What Comes Next? Several developments will be critical to watch: 1.     The outcome of the Tenth Circuit's en banc review; 2.     Whether additional states follow Oregon's lead; 3.     The potential for U.S. Supreme Court review; 4.     Federal legislative proposals that could eliminate the opt-out provision altogether (though prospects for passage appear uncertain). Key Takeaways 1.     The DIDMCA opt-out provision, long dormant, is reemerging as a potential tool for states to regulate interest rates charged to their citizens by out-of-state state banks. 2.     The determination of where a loan is "made" for purposes of Section 525 of DIDMCA is now a central legal battleground. 3.     The forthcoming Tenth Circuit en banc decision will set an important precedent with nationwide implications. 4.     A growing patchwork of state laws could significantly complicate interstate lending. 5.     The future of bank–FinTech partnerships and the dual banking system may hinge on how these issues are resolved. As these developments continue to unfold, financial institutions, regulators, and policymakers alike will need to navigate an increasingly complex and uncertain legal environment—one that may redefine the rules of interstate lending in the United States.

"Exit planning is good business, not just about exits. Doing exit planning is going to help your business today." Too many founder CEOs pour years into scaling their company without ever building a plan for what comes next — and it costs them. Bruce Eckfeldt is a former Inc. 500 CEO who scaled, led, and exited his own company, and now coaches founder CEOs to do the same with intention. He faced the reality of an unplanned post-exit life firsthand — and what he discovered changed how he coaches everyone who comes after him.   Key Insights: Exit planning improves your business today, not just at the finish line. Treating your business as if it could be sold tomorrow forces clarity in strategy, leadership, and operations — giving you a stronger company whether you sell or not. Develop a compelling post-exit vision first. When founders have a clear, exciting plan for what comes after, they become more motivated to grow faster, set tighter timelines, and make better decisions leading up to a transaction. Founder dependency in sales is the riskiest — and hardest — constraint to break. When the founder is the rainmaker, it suppresses valuation, complicates deals, and is fueled by a dopamine cycle that's genuinely difficult to step away from. Institutional knowledge must replace individual knowledge to scale. Brilliant technical founders often are the smartest person in the room — but a company built around one person's intellect cannot scale or transact at full value. Know where you fall in the valuation range — and move the levers. The market sets the multiple range; what you can control is whether you land in the bottom, middle, or top third of it by addressing the fundamentals buyers care about most. The "keep-sell posture" protects your negotiating power. Being genuinely ready to either sell tomorrow or hold for another decade removes desperation from the table and ensures you're choosing the right deal — not just the first one. Chapters 00:00 - 01:51 Introductions 01:52 - 05:24  Bruce's Founder Journey as Inc. 500 CEO 05:25 - 06:48 The Architectural Thinking Behind Scaling a Company 06:49 - 08:04 Why Scale and Exit Planning Are Connected from Day One 08:05 - 09:25 Building a Post-Exit Vision That Motivates Faster Growth 09:26 - 10:51 Founder's Identity and System Building 10:52 -12:30 Founder Dependency: The Sales Dopamine Trap 12:31 - 14:46 When Intellectual Capital Is Trapped in the Founder's Head 15:22 - 18:56 Exit Readiness and Push & Pull Factors across Generations 18:57 - 21:19 Legacy Building  21:20 - 24:33 What makes a Business Valuable 24:45 - 25:45 Bruce's Three Takeaways for Every Founder 26:00 - 26:36 Life After Exit: Himalayas, Adventure, and What Comes Next   Is your business truly ready—and are you? Take the Succession Readiness Assessment to get a clear snapshot of where you stand and what to focus on next. https://btsherpa.com/succession P.S. Most owners don't realize where they stand until they're already in a transition. Take a few minutes now to understand your readiness—and give yourself more options later.   Connect with Laurie Barkman:  Website: https://lauriebarkman.me LinkedIn: in/lauriebarkman YouTube: @LaurieBarkman_BTSherpa   Connect with Bruce Eckfeldt Website: https://www.eckfeldt.com   Email: bruce@eckfeldt.com   LinkedIn: http://www.linkedin.com/in/beckfeldt     

Boyle recommends watching Tucker Carlsons episode - Trump announces the End of Global American Empire. Here's What Comes Next. https://www.youtube.com/watch?v=GyYy-QmxttU

Donald Trump has fired Pam Bondi as Attorney General, and her replacement could be someone even more hostile to voting rights. Marc Elias is joined by Democracy Docket Legal Content Editor Ashley Cleaves to analyze Bondi's legacy and discuss the implications of this move for the 2026 elections.Support Democracy Docket's mission:https://newsletters.democracydocket.com/anchor-youtube-friday00:00 Trump Fires Pam Bondi00:38 Today's Guest: Ashley Cleaves01:13 Bondi's Rise & Loyalty to Trump04:22 Weaponizing the DOJ: Bondi's Legacy08:48 DOJ Turns Against Voting Rights11:04 Lawsuits, Ballot Seizures & Voter Data Fights15:36 Key Legal Battles Shaping the 2026 Elections17:13 Who Replaces Bondi? Top Contenders20:06 DOJ Incompetence vs. Political Agenda25:11 Supreme Court Cases & What Comes Next

08:00 — John Nichols, Executive Editor of the Nation 33:00 — Tim Redmond is founder of 48hills. The post Pam Bondi Fired from DOJ; Plus, San Francisco's Budget Crisis is Improving, What Comes Next? appeared first on KPFA.

A shocking FBI confirmation reignites a fierce debate: how did a Hezbollah-inspired attacker end up in Michigan—and could it have been prevented? The answers trace back years and raise serious questions about immigration policy and national security.

The Justice Center of Rensselaer County is presenting their fourth annual Robert Doherty Memorial Lecture this week with Douglas Blackmon. Blackmon is a distinguished journalist, scholar, filmmaker, and the Pulitzer-Prize winning author of Slavery by Another Name: The Re-Enslavement of Black Americans from the Civil War to World War II.His talk: “What Comes Next? Redefining Police Power, Restoring Personal Freedom, Rebuilding Faith in American Democracy” will be held on Thursday, April 2nd @ 7PM in the Troy Savings Bank Music Hall.

Today, on Karl and Crew, we wrapped up our weekly theme, “End Times Week and AI,” with Ruslan KD and Nick Skytland. Ruslan KD joined us to discuss godly ambition and how to pursue purpose and calling in a way that honors God. Ruslan is a Christian YouTuber, podcaster, and entrepreneur known for his thought-provoking commentary on faith, culture, and personal development. A former independent artist, he transitioned into digital media, where he creates content that bridges biblical wisdom with real-world issues. He is the founder of The God Bless Movement and author of the book “Godly Ambition: Unlocking the Full Potential of Your Time, Talent, and Treasure.” He is also preparing to kick off The Godly Ambition Tour in Chicago on April 10. Through his YouTube channels, Ruslan KD and Bless God Studios, he explores topics such as apologetics, cultural trends, and practical stewardship, inspiring audiences to live with purpose and intentionality. Nick Skytland also joined us to discuss how AI is shaping us and why believers should approach it with a biblical worldview. Nick is Vice President of Gloo Developer and AI Research, leading initiatives to shape open, values-aligned AI that supports human flourishing. Before joining Gloo, he spent more than two decades at NASA as Chief Technologist, advancing early-stage technologies and building some of the largest open innovation communities in history. He co-authored the book “What Comes Next? Shaping the Future in an Ever-Changing World.” Nick was also the co-founder of Quite Uncommon, a technology firm that helped organizations build, test, and launch new and innovative ideas. We then turned to the phone lines to hear from our listeners. We asked the question, “what did God use to grab you heart and transform your soul?” You can hear the highlights of today’s program on the Karl and Crew Showcast. If you're looking to hear a particular segment from the show, look at the following time stamps: Nick Skytland [ 05:18 ]Ruslan KD [ 39:34 ]Callers Question [ 56:05 ]Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.

Go to Go to https://www.learningleader.com/becoming to see the pre-order bonuses for The Price of Becoming This is brought to you by Insight Global. If you need to hire one person, hire a team of people, or transform your business through Talent or Technical Services, Insight Global's team of 30,000 people around the world has the hustle and grit to deliver. My Guest: Scott Galloway is the New York Times bestselling author of books including The Four, The Algebra of Happiness, Post Corona, Adrift, and The Algebra of Wealth.  Notes: Key Learnings Routine speeds up time, novelty slows it down. If you want life to go fast, just spend it alone and have a routine and never bust out of that routine. What makes life interesting is diversity in people, because people are complicated, and relationships are complicated. Lean into your emotions to slow time down. If you see something that moves you, stop, think about it, ask yourself why it moves you, and try to cement that moment in your brain. Otherwise, you're not sleepwalking through life; you're sleep sprinting. "The greatest wasted resource in history is good intentions that don't get articulated." No matter how famous someone is, they love affirmation as much as anybody else. Good thoughts that don't get articulated are wasted. Absorb when you're upset and lean into emotions, good and bad. This sort of marks the day and slows things down. Otherwise, if you get up every morning, do the same thing, eat the same thing, have the same relationship, the week's just gonna go really fast. Reverse engineer your success to things that aren't your fault. What are the things that played a role in your success that you had no control over? Your luck, your good fortune. For Scott: big government, assisted lunch, Pell Grants, University of California, technology financed by middle-class taxpayers, DARPA, the internet, deep pools of capital, and acceptance of failure. His mom told him he had value every day. Scott's mom, every day, implicitly and explicitly, told him and communicated to him that he had value. That builds a basic confidence that manifests in different ways: the confidence to fail, approach strangers, believe you're worthy of love, that you'll add value to a company, and that you can ask for tens of millions of dollars from someone. When good things happened, he used to call his mom. Whether it was getting a bonus at Morgan Stanley or striking up a conversation with a woman at Starbucks and getting her number, Scott used to call his mom. Your parents can bask in your victory, and you can brag to your parents, and it's okay. If there's no one there with you, it's like it didn't happen. Scott travels for business and stays at really nice hotels, and inevitably gets upgraded to the penthouse or the George V in Paris when he's alone. But if there's no one there with you, it's like it didn't happen. Celebrate victories, tell people how much they mean to you. You have to call your friends, celebrate their victories, celebrate your own, and tell people how much they mean to you. Every day, no matter what, tell your kids you're proud of them and love them. No matter how much Scott's kids piss him off, at some point, he finds a way to say, "I'm proud of you, and I love you immensely. You know that, right?" He hopes they have that same kind of base or pillar of confidence he had his whole life. Having someone tell you they believe in you every day works. You don't have to be a baller or successful. Just having someone in your life and every day telling them they mean a lot to you, they can't help but not believe you after a while. Being a leader isn't about being the smartest person in the room. Scott used to think being a leader was being the smartest person in the room, and he had trouble, especially with other men, thinking if he acknowledged someone else was doing a good job, somehow that made him less impressive. You have so much currency as a founder or manager. If you're in a management or leadership role, much less a founder, you have so much currency to pull someone into a conference room and say, "You were outstanding in that meeting" or "I just read this, and I love this paragraph. God, where did you come up with this idea?" You literally see these people just light up. "If you're thinking it, say it." The instant you're thinking something positive about somebody, just tell them, text them, call them. Don't wait. We have a tendency to think other people are telepathic, that they must sense we think they're wonderful. No, they don't sense it. Articulate it. When you're on your deathbed, you're not gonna think "I gave too much praise at work and told too many people how much they meant to me." Young people need watering. If you don't give young people feedback and praise when they deserve it, it's like having a ton of capital and not spending it. Especially with young people, they need watering. Feedback is incredible compensation. Whenever someone does something good, Scott tries to remind himself via email. Then, when he does their review at the end of the year, it's like, " Wow, this dude is paying attention. That is a form of compensation. Give thoughtful reviews that show you understand them. Tell them what they need to develop to get to the next level. Pay for the courses they need. They're a single mom who needs flexibility and wants to make more money. That's compensation. "Become a clip machine." Certain people are clip machines: James Clear, Morgan Housel, Kat Cole, Scott Galloway. These are people who communicate ideas in ways that are instantly shareable and memorable. For leaders, becoming an effective communicator isn't optional anymore. You need to be able to inspire and move people. The ability to write well is the stem of storytelling. It forces you to manage your thoughts and think things through. It's difficult to be a great storyteller if you can't write at a competent level. Rank yourself across every medium and go deep on one. Look at every medium (texting, LinkedIn, short form video, TikTok, long form writing, speaking), rank yourself, listen to yourself, decide what your specialty is, and then go very deep into one. Figure out your medium and commit to being in the top 1%. Challenge yourself to be in the top 10% within a year, the top 1% within three years. Identify which medium you have skills in, then challenge yourself. If you're in the top 6,000 podcasts out of 600,000 that put out content every week, you're in the top 1%. "Social media may make you want to shower after you use it, but it's frightening how powerful it is." In terms of economic power and influence, it's frightening how powerful social media is right now. If you're a young person and you want to be influential or economically secure, you need to master it. Storytelling is the enduring skill to give your kids. Scott's core competence is storytelling. His superpower is attracting and retaining people who help leverage his skills. The most radical act in a capitalist society is not participation. Scott started Resist and Unsubscribe because action absorbs anxiety. He was sick of being virtuous and courageous on a keyboard or a mic and wanted to do something. "Ready, fire, fucking aim on this thing called life." Scott wants to dance like no one is watching. He's gonna be dead soon, and it's all going really fast. He doesn't want to look back and think about losing sponsors or what people thought was stupid. He wants to think, "Right on, I tried to do something." He wants to be that guy who was unafraid, who showed up with a carpool to try and make a difference. Your spending or lack thereof is a weapon hiding in plain sight. The government most quickly responded six years ago during COVID, not because tens of thousands of people were dying, but because the GDP crashed 31%. The president backs away from plans when the bond market or stock market goes down. Even a gnat on an elephant matters. Even if it's just a gnat on an elephant, enough gnats will take down an elephant. If you have economic security and people who love you unconditionally, you have an obligation to speak out. Sam Harris has this great saying: if you have economic security and people who love you unconditionally, then you have an obligation to speak out and speak your mind, because most people don't have that luxury. Do what makes you feel good about yourself. It's not easy being mediocre-looking; it takes real effort. Scott grew up very skinny with bad acne and thinks maybe he's a little too focused or self-conscious about his looks. America is ageist, and looks matter. New York is the ultimate tip of the spear for a capitalist society, and it's optimized for two people: hot women and rich guys. For everyone else, it's a soul-crushing experience. We can talk about the way the world should be and the way the world is. That's the way the world is. Start working out. Scott coaches young men: start working out. It's good for your head. It shows women and employers you're in shape, not just because it looks good (which it does), but because it reflects how you show up, that you have discipline, that you can commit to something. The rule of threes puts you in the top 5% of attractiveness. If you work out three times a week or more, if you spend at least 30 hours a week working outside of the house, and put yourself in the company of strangers (church group, nonprofits, sports league), just by doing those three things, you put yourself in the top 5% of attractiveness of young males. Anyone who's had great yeses has had a shit ton of no's. If you can be in the top 5% and learn how to mourn and move on from rejection, at some point, you'll be voluntarily celibate, which is awesome. There were hundreds of no's for you to get to a top podcast. You get used to no. No one has the right to a living or to reproduce. If you want to score above your class economically or romantically, get out a big spoon and get ready to eat shit. It's what everyone of us has done. "I'm constantly worried about my boys now." Scott didn't worry about his kids when they were little unless they were sick - they were safe and home. Now he's worried about them all the time: are they doing okay at school? Is the quiet one okay? His champagne toast moment would be celebrating his son's first year of college going well - having fun, a good friend group, a couple of dates, football games, and gearing up for sophomore year. Reflection Questions What things played a role in your success that you had no control over? Your luck, your good fortune. How does reverse engineering to those things change your perspective? Who in your life needs to hear that you're proud of them and that they mean a lot to you? When's the last time you actually said it? Rank yourself across every medium you participate in (texting, LinkedIn, video, writing, speaking). What's your specialty? Are you willing to commit to being in the top 1% of that medium within three years? More Learning #578: Scott Galloway - The Algebra of Wealth #492: Scott Galloway - Finding What You're Good At #396: Scott Galloway - Turning Crisis Into Opportunity Podcast Chapters 00:00 Preorder my new book! 02:45 Meet Scott Galloway 04:13 Resilience To Criticism 05:43 Slowing Time With Novelty 08:43 Scott's Mom Building Confidence 14:52 Use Praise As a Leadership Currency 24:27 Becoming A Great Storyteller 31:06 Resist And Unsubscribe Origins 35:35 What Comes Next 37:13 Facing Both Backlash and Support 39:45 Living Unafraid 41:23 Why Sell Prof G? 42:37 Building Enterprise Value 46:46 The Openness of Cosmetic Surgery  48:47 The World's View on the Physical 50:42 Rule of Threes for Men 53:11 Scott's Champagne Toast 56:52 The Belief of Reasonable Politics  58:10 Where to Find Scott Online 01:02:14 EOPC

Former Navy SEAL and Shield AI co-founder Brandon Tseng is building the autonomous drones that are redefining global defense.This week on Bold Names, WSJ's Tim Higgins sits down with Tseng to discuss how Shield AI's Hivemind software is currently overcoming GPS jamming in Ukraine, and why the future of the U.S. military depends on a mix of elite manned assets and swarms of affordable, autonomous drones. Editor's Note: This interview was recorded before the war with Iran. To watch the video version of this episode, visit our WSJ Podcasts YouTube channel or the video page of WSJ.com. Check Out Past Episodes: Palmer Luckey's 'I Told You So' Tour: AI Weapons and Vindication The AI Agent in Your Pocket: Qualcomm's CEO on the Future of Mobile Condoleezza Rice on Beating China in the Tech Race: 'Run Hard and Run Fast' This CEO Says Global Trade Is Broken. What Comes Next? Let us know what you think of the show. Email us at BoldNames@wsj.com. Sign up for the WSJ's free Technology newsletter.Read Tim Higgins's column.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Nick Skytland is Vice President of Gloo Developer and AI Research, leading initiatives to shape open, values-aligned AI that supports human flourishing. Before joining Gloo, he spent over two decades at NASA as Chief Technologist, advancing early-stage technologies and building some of the largest open innovation communities in history. He is also co-author of What Comes Next? Shaping the Future in an Ever-Changing World.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

As Iran's retaliation hit American allies throughout the Middle East this week, David Remnick was joined by two New Yorker writers with decades of experience reporting from the region. Robin Wright has reported from Iran extensively, and she met with Ali Khamenei before he became the Supreme Leader of Iran; Dexter Filkins covered the wars in Iraq and Afghanistan, and he has been reporting on the Pentagon and military readiness. Filkins and Wright discuss the possibilities for future leadership in Iran; the Administration's chaotic statements in regard to its goals and time frame; and the economic impact of the war, which is already being felt around the globe.    Further reading: “What Ayatollah Ali Khamenei Meant to Iran, and What Comes Next,” by Robin Wright "How Marco Rubio Went from “Little Marco” to Trump's Foreign-Policy Enabler,” by Dexter Filkins “The Forever War,” by Dexter Filkins   New episodes of The New Yorker Radio Hour drop every Tuesday and Friday. Join host David Remnick as he discusses the latest in politics, news, and current events in conversation with political leaders, newsmakers, innovators, New Yorker staff writers, authors, actors, and musicians.

The Washington Roundtable discusses the war that the United States and Israel have started with Iran, how the conflict might evolve and affect the whole region, and the Trump Administration's rationale for launching the strikes. “I don't think we have yet heard a clear explanation of what this war is about, what they intend to achieve, what the strategic goals are, and how it's supposed to end,” the staff writer Jane Mayer says. The group also reflects on the lessons that they learned while reporting on the Iraq War about how conflicts such as these can transform societies. This week's reading: “Can Donald Trump Win a War with Iran If He Can't Explain Why He Started It?,” by Susan B. Glasser “Do U.S. Presidents Have the Power to Declare War?,” by Jill Lepore “In the Texas Primaries, a Good Night for James Talarico, and a Bad One for John Cornyn,” by Benjamin Wallace-Wells “What Ayatollah Ali Khamenei Meant to Iran, and What Comes Next,” by Robin Wright “Has Trump Thought Through the Endgame in Iran?,” by Ishaan Tharoor To discover more podcasts from The New Yorker, visit newyorker.com/podcasts. To send in feedback on this episode, write to themail@newyorker.com with “The Political Scene” in the subject line.Tune in to The Political Scene wherever you get your podcasts.  Learn about your ad choices: dovetail.prx.org/ad-choices

The foreign-affairs journalist Ishaan Tharoor joins Tyler Foggatt to discuss the fallout from the United States' joint military operation with Israel in Iran. They talk about the death of Iran's Supreme Leader, Ayatollah Ali Khamenei—who was among the hundreds killed by drone and missile strikes—and how the country has retaliated against the U.S., Israel, and several of its Arab neighbors. Their conversation explores what comes next for the Iranian government and people, how the conflict fits into President Donald Trump's broader foreign-policy vision, and whether this latest attempt at regime change in the Middle East is likely to succeed when past American interventions have failed. This week's reading: “Has Trump Thought Through the Endgame in Iran?,” by Ishaan Tharoor “What Ayatollah Ali Khamenei Meant to Iran, and What Comes Next,” by Robin Wright “Trump's Reckless Decision to Pursue Regime Change in Iran,” by Isaac Chotiner “Donald Trump Launches a War of ‘Epic Fury' on Iran,” by Robin Wright “What Mehdi Mahmoudian Saw Inside the Iranian Prison System,” by Cora Engelbrecht The Political Scene draws on the reporting and analysis found in The New Yorker for lively conversations about the big questions in American politics. Join the magazine's writers and editors as they put into context the latest news—about elections, the economy, the White House, the Supreme Court, and much more. New episodes are available three times a week. Tune in to The Political Scene wherever you get your podcasts.  Learn about your ad choices: dovetail.prx.org/ad-choices

Monday has been hit harder than almost any other public SaaS company. With $1.3BN in ARR, the company is valued at just $3.8BN; a more than 60% fall since IPO. Today, Eran Zinman, Monday's CEO joins Harry Stebbings in the hotseat to walkthrough six of the biggest threats to Monday's business; what is real, what is not and what are the unknowns.  AGENDA: 05:47 Six Threats Monday Faces Today  07:04 Threat #1: Vibe Coding: Will Companies Vibe Code Everything 11:24 Threat #2: Will OpenAI and Anthropic Own the Application Layer  13:52 Threat #3: Will Agents Turn Monday and Salesforce into a Database 18:43 Why is Monday Adding 15% Headcount When Everyone is Cutting? 21:40 How Monday is Using AI to be More Efficient 27:49 What Happens to Seat Pricing? What Comes Next? 34:17 What No One Sees About Enterprise AI Adoption 37:13 How Google AI Overview Smashed 10% of our Customer Acquisition 38:49 If Bullish on Monday, Why Has Eran Not Bought More Stock… 40:38 How to Manage Internal Morale When Stock is Down 60% 44:08 Do Private Companies Have Advantages Public Companies Do Not Have 47:28 With $1.5BN in Cash, Why is Eran Not Buying More Companies… 53:30 What is the Most Offensive Bet Eran Would Like to Take? 57:13 Quickfire: Marriage, Biggest Short, Mentors  

Seeking Regime Change, Trump Commits US To 4-5 More Weeks Of War With Iran! Iranian Missiles Caught On Tape Evading Israeli Interceptor Rockets For First Time! Alex Jones Has Exclusive Intel On What's Really Happening & What Comes Next