Podcasts about Claudius

Episode 300. We made it

It has finally arrived, the Romans under Claudius begin the invasion of Britain. Follow us on social media: Instagram, Bluesky: @Welshhistorypod Facebook: https://www.facebook.com/welshhistorypodcast Please consider becoming a supporter at: http://patreon.com/WelshHistory Music: Celtic Impulse - Celtic by Kevin MacLeod is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100297Artist: http://incompetech.com/ © 2026 Evergreen Podcasts Learn more about your ad choices. Visit megaphone.fm/adchoices

2026.06.07 - Biserica Lumina TimișoaraEpisodul 3Seria: EternitatePredicator: Claudius Sămărtinean

"When the Emperor Diocletian summoned him and threatened him with torture, he offered sacrifice to idols and was, because of this, rewarded by the Emperor with a costly garment. But Marcellinus repented bitterly and began to weep both day and night for his rejection of Christ, even as the Apostle Peter had before him. A synod of bishops was held at that time in Campania, and the Pope dressed himself in sackcloth and sprinkled ashes on his head, and, going before the Synod, confessed his sin and asked them to judge him. The fathers said: 'Let him judge himself.' Then he said: 'I strip myself of the sacerdotal rank of which I am not worthy; and, further, let my body not be buried after my death, but let it be thrown to the dogs.' Having said this, he pronounced a curse on any who should dare to bury him. He then went to the Emperor Diocletian and, casting the precious garment in front of him, confessed his faith in Christ and cursed the idols. The enraged Emperor ordered that he be tortured and killed outside the city, together with three other men: Claudius, Cyrinus and Antoninus. The bodies of these three were buried at once, but the Pope's body lay there for thirty-six days. Then St Peter appeared to Marcellus, the new Pope, and told him to bury Marcellinus' body, saying: 'Whoso humbleth himself shall be exalted.' " (Prologue)

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

Claudius Unger ist definitiv kein Sommelier im klassischen Sinne. Im „Blauen Engel“ in Aue, den er gemeinsam mit seinem Bruder Benjamin führt, ist er ein hochverdichtetes Hybrid-Talent aus Serviceintelligenz, purem Weinerlebnis und situativer Präzision. Sommelier ist für ihn kein Berufsbild, sondern eine Funktionsverschiebung: weg von der Rolle, hin zu einem beweglichen System aus Wahrnehmung, Anpassung und radikaler Gegenwärtigkeit. Man könnte sagen: Er ist das Ergebnis einer Gastronomie, die sich nicht mehr über reine Dienstleistung definiert, sondern über Interpretation. Und genau dort bewegt sich Claudius Unger mit einer Selbstverständlichkeit, die nicht konstruiert wirkt, sondern gewachsen – destilliert über Jahre, über Flaschen hinweg, über Gespräche, die sich oft länger entfalten als die gesamte gastronomische Familiengeschichte selbst. Dabei arbeitet er nicht gegen die Tradition, sondern durch sie hindurch. In der nüchternen Betrachtung ist er ein hochfunktionaler Generalist innerhalb eines extrem spezialisierten Feldes. Er liest nicht nur Wein, er liest Situationen. Mikrospannungen am Tisch, verschobene Blickrichtungen, unausgesprochene Hierarchien zwischen Gästen – all das wird Teil seiner Sensorik. Und der Wein ist dabei nicht Kulisse, sondern präzises Werkzeug dieser Wahrnehmung. Doch jede reine Kompetenzbeschreibung greift zu kurz, weil sie ihn in ein statisches System zwingt. In Wahrheit ist er ein bewegliches Koordinatensystem aus Erfahrung, Intuition und kalkulierter Improvisation. Wo andere im Aromarad argumentieren, setzt er einen Satz, der Situationen entkrampft, bevor sie sich verfestigen. Keine Überhöhung, keine Mystifizierung – sondern eine Sprache, die Wein wieder zugänglich macht, noch bevor er beschrieben wird. Dieser Allrounder innerhalb der Sommelier-Welt bewegt sich permanent im Spannungsfeld zwischen Kontrolle und Kontrollverlust. Zwischen der exakten Temperatur eines Weins und der unexakten Temperatur eines Raums. Zwischen technischer Präzision und sozialer Unschärfe, die kein Lehrbuch vollständig abbilden kann. Ach, und habe ich eigentlich schon über seine Vorliebe für mit Weinhefen gebraute Biere gesprochen? Brauche ich nicht, das macht er selber am besten.

Kurz und bündig, interessant und informativ. Aber auch tröstlich und gelegentlich anstößig. Bunt wie das Leben sollen auch die Formen der christlichen Botschaft im Sender sein. Von Claudius Rosenthal.

Lucilian spent most of his life as a pagan priest. In advanced old age, he learned the truth of the Christian faith and was baptized. The conversion of so public a figure quickly attracted attention, and Lucilian was brought to trial in Nicomedia. After enduring many tortures he was imprisoned with four young Christians, scarcely older than children: Claudius, Hypatius, Paul and Dionysius. When they were brouht before Silvanos the governor, all five confessed their faith and were sentenced to death and cast into a fiery furnace. When they miraculously emerged unharmed, they were taken to Byzantium, where the four young men were beheaded and Lucillian was crucified. A maiden named Paula openly carried away the martyrs' bodies and buried them. For this she in turn was tortured and, refusing to renounce her faith in Christ, beheaded. This was in the reign of the Emperor Aurelian. A church was built in their honor in Constantinople.

Unsere Folgen sind nicht selten ungewöhnlich lang. Das hat seinen Grund: Wir möchten den Tiefsinn fließen lassen und Euch unsere Gesprächspartner so präsentieren, wie Ihr sie sonst nie – und vielleicht nie wieder – kennenlernen könnt. Und um Euch die Scheu zu nehmen, die man verspürt, wenn man einen über drei Stunden langen Zeitstempel sieht, aber auch, um Euch so richtig Lust auf den Kandidaten zu machen, präsentieren wir Euch immer einen Tag vor dem Release einen exklusiven Sneak in die neue Folge. Viel Spaß beim Hören, und wir freuen uns auf Euch mit einem herzlichen „Welcome back“ am Freitag.

"Hab Mut, steh auf!" - das war das Motto des Katholikentags 2026 in Würzburg. Deshalb haben sich Lilith und Claudius in dieser Folge, die live auf der vrk-Podcastbühne auf dem Katholikentag aufgezeichnet wurde, damit etwas tiefergehend beschäftigt: Wofür braucht es eigentlich Mut, was gibt Kraft und Energie dafür - und wie lässt sich das am besten vermitteln, insbesondere medial? Dafür haben sie jemanden eingeladen, der ein echter Experte für diese Fragen ist: Alexander Brandl aus dem yeet-Netzwerk. Er ist evangelischer Pfarrer, war früher aber katholisch. Außerdem ist er Theologisch-Pädagogischer Vorstand im Geistlichen Zentrum des Klosters Schwanberg und arbeitet im Team der landeskirchlichen Beauftragten für Hörfunk und Fernsehen beim Bayerischen Rundfunk. Auf Instagram ist er als @alpha.oh.mega unterwegs und bloggt unter dem Hashtag „Himmelwärts“. Auf der Bühne hat er unter anderem verraten, wie man auch aus dem Scheitern Kraft ziehen kann und warum Freaks unbedingt in die Kirche gehören. Alex' erstes Buch: Hoffnungsschimmern – Geschichten und Gebete mit guten Aussichten, edition chrismon 2024 Social Media für Glaube und Kirche - das ist der yeet-Podcast: yeet-Redakteur* innen befragen Expert* innen und Influencer* innen und begeben sich auf die Suche nach den großen und kleinen Perspektiven auf die digitalen Kirchen-Räume und Welten in den Sozialen Medien.

2026.05.31 - Biserica Lumina TimișoaraEpisodul 2Seria: EternitatePredicator: Claudius Sămărtinean

Social-Media-Plattformen sind vielfach zu unangenehmen Orten geworden - wir möchten dem entgegenwirken. Deswegen buchstabieren wir in einer kleinen Serie verschiedene Umgangsformen durch, die dazu beitragen können, Social Media zu einem besseren Ort zu machen: Unser kleiner Social-Media-Knigge zum "abyeeten" (= mehr Positivität ins Netz bringen, Gegenteil von "abhaten"). In Folge 5 der Serie sprechen Lilith und Claudius darüber, was Beziehungen eigentlich definiert und ausmacht, wie gute Beziehungen gelingen können, was das Ganze mit Führung und mit Bedürfnissen zu tun hat - und vor allem natürlich, was das für den Social-Media-Bereich bedeutet. Im Folgehype empfiehlt Veit Dinkelaker vom Bibelhaus Erlebnismuseum in Frankfurt am Main den YouTube-Kanal des Bibelhaus Erlebnismuseums. Die yeet-Podcast-Folge zum Thema "Respekt": Social-Media-Knigge Teil 1: Respekt Das Buch von Carsten Schermuly: Psychologie der Macht, Haufe 2025 Das Buch von Tyson Yunkaporta: Sand Talk: Das Wissen der Aborigines und die Krisen der modernen Welt, Matthes & Seitz Berlin Verlag 2021 Social Media für Glaube und Kirche - das ist der yeet-Podcast: yeet-Redakteur* innen befragen Expert* innen und Influencer* innen und begeben sich auf die Suche nach den großen und kleinen Perspektiven auf die digitalen Kirchen-Räume und Welten in den Sozialen Medien.

Send us Fan MailRome isn't presented as a background detail, it's the pressure cooker. We start our Romans journey by rebuilding the setting behind Paul's most comprehensive explanation of the gospel: the Roman Empire at its height, the cultural and political center of the known world, and a growing community of believers trying to live out faith in a place that sets trends for everyone else. Getting that context right changes how you hear every word that follows, especially when Romans was written around 56 to 58 A.D., just years before the world-shifting events of A.D. 70.We talk through why this letter is unique among Paul's epistles. He's writing to a church he didn't personally plant, a network of saints meeting across the city rather than one neat institution. We also face the real friction points: the aftershocks of Claudius expelling Jews from Rome, Jewish believers returning, and Gentile believers now holding visible influence. That mix creates disputes over identity and practice, and Romans speaks directly to that fault line by centering salvation on God's faithfulness and justification by faith, not tribal status.Then we zoom in on Paul's method. Romans reads like a courtroom brief because Rome understands law, argument, and proof. We connect Paul's Pharisaic “legal mind” with his exposure to public philosophy, including debates with Stoics and Epicureans, and why that double-edge preparation makes him the right messenger for the empire's capital. If the gospel is going to spread to the ends of the earth, it has to stay clear when it reaches the center of influence first.Subscribe for the full Romans study ahead, share this with a friend who wants deeper Bible context, and leave a review with your biggest question about Romans so we can tackle it together.Support the showBE PROVOKED AND BE PERSUADED!

We chat about how so many people keep getting seduced into thinking chatbots are conscious, or just keep hedging their bets in some kind of Cyber-Pascal's Wage, or just keep lying to prop up an industry and culture they are invested in perpetuating. Then we argue why, rather than just be eroded into acquiescence by an overwhelming tsunami of AI, rather than being bowled over and washed out to sea, you should never give these systems and their booster the benefit of the doubt. Never accept that these forces of production are inevitable, undeniable, and actually already existing. You should first always say, “Prove it.” •••When Dawkins met Claude Could this AI be conscious? https://unherd.com/2026/05/is-ai-the-next-phase-of-evolution/ ••• When Claudia met Claudius https://unherd.com/2026/05/when-claudia-met-claudius/?edition=us ••• Why We Keep Tricking Ourselves Into Thinking A.I. Is Conscious https://www.nytimes.com/2026/05/15/opinion/ai-consciousness.html ••• The Atheist and the Machine God https://www.nytimes.com/2026/05/09/opinion/artificial-intelligence-consciousness-richard-dawkins.html ••• The Prehistory of A.I. Slop https://www.newyorker.com/magazine/2026/05/25/the-prehistory-of-ai-slop ••• Too Much Is Happening Too Fast https://www.theatlantic.com/technology/2026/05/too-much-happening-too-fast/687177/ Standing Plugs: ••• Order Jathan's book: https://www.ucpress.edu/book/9780520398078/the-mechanic-and-the-luddite ••• Subscribe to Ed's substack: https://substack.com/@thetechbubble ••• Subscribe to TMK on patreon for premium episodes: https://www.patreon.com/thismachinekills Hosted by Jathan Sadowski (bsky.app/profile/jathansadowski.com) and Edward Ongweso Jr. (www.x.com/bigblackjacobin). Production / Music by Jereme Brown (bsky.app/profile/jebr.bsky.social)

2026.05.17 - Biserica Lumina TimișoaraEpisodul 1Seria: "Eternitate"Predicator: Claudius Sămărtinean

Social-Media-Plattformen sind vielfach zu unangenehmen Orten geworden - wir möchten dem entgegenwirken. Deswegen buchstabieren wir in einer kleinen Serie verschiedene Umgangsformen durch, die dazu beitragen können, Social Media zu einem besseren Ort zu machen: Unser kleiner Social-Media-Knigge zum "abyeeten" (= mehr Positivität ins Netz bringen, Gegenteil von "abhaten"). In Folge 4 der Serie sprechen Lilith und Claudius darüber, ob es wirklich kritisch zu sehen ist, wenn sich Menschen in Social Media auf die ein oder andere Art selbst in Szene setzen. Wie sehr verlangen die Logiken der verschiedenen Plattformen Selbstinszenierung? Wo inszenieren wir uns noch selbst? Ist das überhaupt etwas Schlechtes? Und wie können wir damit Gutes erreichen? Auch zum Beispiel im Community-Management? Im Folgehype empfiehlt Christiane Hawranek vom Bayerischen Rundfunk den Podcast "In The Dark" von The New Yorker. Die yeet-Podcast-Folge mit Anna Kira Hippert: Wenn's gut werden soll, mach' es selbst Das Buch von Stefan Zweig: "Montaigne". Social Media für Glaube und Kirche - das ist der yeet-Podcast: yeet-Redakteur* innen befragen Expert* innen und Influencer* innen und begeben sich auf die Suche nach den großen und kleinen Perspektiven auf die digitalen Kirchen-Räume und Welten in den Sozialen Medien.

In the aftermath, Octavian artfully transformed the Republic into an Empire, taking the title "Augustus" in 27 BC. He learned from Julius Caesar's mistakes, choosing to rule through authority (auctoritas) rather than raw power, and adopting the humble title of "Princeps" or "first man." Strauss emphasizes the central role of Octavia, who remained a powerful matriarch in Rome, raising the children of both Antony and Cleopatra to secure a stable future dynasty. Augustus succeeded in his goal of transforming Rome from a city of wood into a "marbled wonder." He ruled for decades, dying in 14 AD during the month that still bears his name. Though Antony's memory was officially suppressed, Octavia's descendants—including future emperors Caligula, Claudius, and Nero—ensured that the bloodlines of both families remained at the heart of Roman power. Ultimately, the war at Actium defined the course of Western history for centuries to come. (8/8)CLEOPATRA AND THE ASP

From Romulus's open-city policy to Claudius's reforms, citizenship was used by Rome as both a reward and a weapon. As this Long Read written by Shushma Malik explains, it enabled the burgeoning empire to build power and define identity. Today's feature originally appeared in the April 2026 issue of HistoryExtra magazine, and has been voiced in partnership with the RNIB. Learn more about your ad choices. Visit podcastchoices.com/adchoices

2026.05.10 - Biserica Lumina TimișoaraPredicator: Claudius Sămărtinean

Part 1 of our Spring 2026 Moms, Dads, and Grads recommendations extravaganza. Follow the podcast via RSS, Apple Podcasts, and Spotify. Join The Book Riot Podcast Patreon for bonus content and ad-free listening. Subscribe to The Book Riot Newsletter for regular updates to get the most out of your reading life. The Book Riot Podcast is a proud member of the Airwave Podcast Network. Discussed in this episode: Emma Straub Taylor Jenkins Reid The Wedding Date by Jasmine Guillory Go Gentle by Maria Semple Marie Helene Bertino God of the Woods by Liz Moore Abby Jimenez Sarah McLean The Hacienda by Isabel Canas Claire Lombardo The Fraud by Zadie Smith A Gentleman in Moscow by Amor Towles Nickel Boys by Colson Whitehead Sag Harbor by Colson Whitehead Percival Everett. Maybe also Matrix by Lauren Groff. The Dog Stars by Peter Heller I, Claudius by Robert Graves The Road by Cormac McCarthy Small World by Jonathan Evison, The Joy Luck Club by Amy Tan Cutting for Stone by Abraham Verghese Behind the Bedroom Wall by Larry Woiwode Mostly Here to Enjoy Myself by Glynnis MacNicol Alone Time by Stephanie Rosenbloom This Land is Your Land by Beverly Gage The Women I Think About at Night by Mia Kankimaki James by Percival Everett Han Kang Katie Kitamura The Penelopiad by Margaret Atwood  Palaver by Bryan Washington Roman Stories by Jhumpa Lahiri Stone Yard Devotional by Charlotte Wood I Heard Her Call My Name by Lucy Sante Light Years by James Salter Splinters by Leslie Jamison Literary Theory by Terry Eagleton Professing Literature by Gerald Graff Playing in the Dark by Toni Morrison No One Tells You This by Glynnis MacNicol Selfish, Shallow, and Self-Absorbed edited by Megan Daum This content contains affiliate links. When you buy through these links, we may earn an affiliate commission. Thanks to our sponsor, Merit Beauty. Right now, Merit Beauty is offering our listeners their Signature Makeup Bag with your first order at meritbeauty.com. Head to quince.com/bookriot for free shipping on your order and 365-day returns. Now available in Canada, too! Learn more about your ad choices. Visit megaphone.fm/adchoices

Acts 18:1-18 1 After this Paul left Athens and went to Corinth. 2 And he found a Jew named Aquila, a native of Pontus, recently come from Italy with his wife Priscilla, because Claudius had commanded all the Jews to leave Rome. And he went to see them, 3 and because he was of the […] The post Discouraged and Encouraged in Corinth (Acts 18:1-18) first appeared on Hope of Christ Church.

Warning: SPOILERS! In the second go-round for TV's Miss Marple, Geraldine McEwan looks back at the young man she left behind during World War I. We also get Derek Jacobi (“Brother Cadfeld,” “I, Claudius”) playing the nasty Col. Protheroe; Mark Gatiss (“The Big Four,” “Sherlock”) as a young Rev. Hawes, and Rachael Stirling (“Five Little Pigs,” “The Detectorists”) as Rev. Clement's wife. How does this version compare with the 1986 version and is it better or worse? Bill and Teresa will hash it out for you.“Agatha Christie, They Watch” reviews the adaptations of Agatha Christie's novels in their order of publication.Teresa Peschel, author of "Agatha Christie, She Watched" and the "International Agatha Christie, She Watched," hosts our livestream. Joining Teresa is her husband, technical adviser, and straight man, Bill Peschel. Together, they are Peschel Press, publisher of intriguing, intelligent, and idiosyncratic books (www.peschelpress.com).HOW TO SEE THIS MOVIE: Available on DVD and Amazon Prime through a second Britbox subscription.WHERE TO FIND USPeschel Press: www.peschelpress.comInstagram: https://www.instagram.com/peschel_press/NEXT WEEK:“The Protheroe Affair,” the 2016 French version from “The Little Murders of Agatha Christie.”LOOK UP OUR BOOKS“Agatha Christie, She Watched” is our coffee-table sized book and not coffee-table sized ebook collection of Teresa's reviews of Christie's movie and TV adaptations. Agatha Christie, She Watched: https://peschelpress.com/agatha-christie-she-watched/International Agatha Christie, She Watched: https://peschelpress.com/international-agatha-christie-she-watched/DISCLAIMER: FAIR USE. Title 17, US Code (Sections 107-118 of the copyright law) All media in this video is used for the purpose of review and commentary under the terms of fair use. All footage, music and images used belong to their respective owners.Theme music: "Deadly Roulette" by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 4.0 http://creativecommons.org/licenses/by/4.0/

My links:My Ko-fi: https://ko-fi.com/rhetoricrevolutionSend me a voice message!: https://podcasters.spotify.com/pod/show/liam-connerlyTikTok: ⁠https://www.tiktok.com/@mrconnerly?is_from_webapp=1&sender_device=pc⁠Email: ⁠rhetoricrevolution@gmail.com⁠Instagram: https://www.instagram.com/connerlyliam/Podcast | Latin in Layman's - A Rhetoric Revolution https://open.spotify.com/show/0EjiYFx1K4lwfykjf5jApM?si=b871da6367d74d92YouTube: https://www.youtube.com/@MrConnerly 

In 41 CE, Rome did something unexpected. It made an emperor out of a man who had spent most of his life being ignored. That man was Claudius. Photos in this episode Proclaiming Claudius Emperor by Lawrence Alma-Tadema http://www.artrenewal.org/asp/database/image.asp?id=13471, Public Domain, https://commons.wikimedia.org/w/index.php?curid=2254930 Bust of Emperor Claudius By Marie-Lan Nguyen (2011), CC BY 2.5, https://commons.wikimedia.org/w/index.php?curid=23198004 1:10 model reconstruction of a quadrireme By Carole Raddato from Frankfurt, Germany - (four-banked galley) according to a graffito from Alba Fucens in Italy, mid-1st century AD, Museum für Antike Schiffahrt, Mainz, CC BY-SA 2.0, https://commons.wikimedia.org/w/index.php?curid=65155984 Follow us on social media: Instagram, Bluesky: @Welshhistorypod Facebook: https://www.facebook.com/welshhistorypodcast Please consider becoming a supporter at: http://patreon.com/WelshHistory Music: Celtic Impulse - Celtic by Kevin MacLeod is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100297Artist: http://incompetech.com/ © 2026 Evergreen Podcasts Learn more about your ad choices. Visit megaphone.fm/adchoices

https://daredaniel.com/wp-content/uploads/2026/04/SINGLETAKE_S01_E09_Hamlet-The-Bone-Temple.mp3 Single Take with Daniel Barnes Episode 9 Interminably disgraced film critic Daniel Barnes is back with another episode of his wet and wild Single Take podcast. This week, Daniel reviews Riz Ahmed, all melancholy and no Dane in the title role of Aneil Karia’s reimagined Hamlet (2026). Daniel also offers his Single Take on 28 Years Later: The Bone Temple and other films now available on VOD and streaming services. Hamlet (2026; Dir.: Aneil Karia) DANIEL SAYS: DUMP IT *Now playing at the Tower Theatre in Sacramento. IMDB Synopsis: “Hamlet comes home for his father’s funeral and finds his uncle Claudius marrying his widowed mother Gertrude. His father’s ghost reveals Claudius murdered him, leading Hamlet toward revenge and introspection.” 28 Years Later: The Bone Temple (2026; Dir.: Nia DaCosta) DANIEL SAYS: BUMP IT *Now streaming on Netflix. IMDB Synopsis: “As Spike is inducted into Jimmy Crystal’s gang on the mainland, Dr. Kelson makes a discovery that could alter the world.” Read more of Daniel's reviews at Dare Daniel and Rotten Tomatoes and listen to Daniel on the Dare Daniel & Canon Fodder podcasts. Listen and subscribe on Apple Podcasts, Listen Notes, Spotify, Pandora, Pocket Casts and more. The post Single Take – “Hamlet” (2026) appeared first on Dare Daniel Family of Podcasts.

The latest cinematic treatment of Shakespeare's "Hamlet' tries an interesting new angle, placing the action among the Southeast Asian community of contemporary London. Riz Ahmed gives a strong performance in the title role, and fine turns are provided by Morfydd Clark as Ophelia, Timothy Spall as Polonius and Art Malik as Claudius. But some of the power of The Bard's poetry is lost when rushed or mumbled to give it a more edgy feel. This "Hamlet" is a respectable mixed bag. Keanu Reeves stars in a caustic Hollywood sendup, the Apple TV satire, "Outcome." Reeves plays Reef Hawk, a movie star who is being blackmailed by strangers with an incriminating video tape. His best friends played by Cameron Diaz and Matt Bomer, offer moral support but no answers. Reef turns to his crisis lawyer, played by Jonah Hill who also wrote and directed this black comedy, who instructs him to apologize to everyone he may have offended over the years. While it's sometimes very funny and hits some deserving showbiz targets, it paints a bleak picture that's frankly uncomfortable to watch. "Outcome" is like George Clooney's recent flick "Jay Kelly," but with a meaner edge. Does the Netflix thriller "Thrash" qualify for "So bad, it's good?" status? Even though this “'Jaws' meets ‘Hurricane'” mashup has many laughable moments, the answer is decidedly, "No." Phoebe Dynevor and Djimon Hounsou star in the tale of a storm surge that pushes ravenous sharks far inland. The man-eaters terrorize the residents of a storm drenched coastal community. "Thrash" is no "Sharknado." It's better than that camp classic, but not as funny. “Thrash” just bites.

The Four-Year Preacher's LectionarySupport me at SubscribeStar or by signing up as a paid subscriber at RevFiskOrder my books at AmazonFor video, visit my Rumble channelMusic from Doxazomen Studios

On this week's Keepin It Real, Cam has learned that there are moments in time where a simple guttural sound really really matters. And they can't accumulate because they expire quickly. All this relates back to an incomplete Christmas present.  ----- I got an ant farm for Christmas. My kids laughed and they told their friends and they laughed but my family came through and on Christmas morning I opened an ant farm. It has a main chamber and two auxiliary chambers. I set it up just like the pictures showed. A few weeks ago, in March, I got the ants for my birthday. Apparently, the farm didn't come with ants, a detail we overlooked. They are harvester ants and I worked with an ant guy in Raleigh to select the species. He wanted pictures of the farm and info on where the farm would be positioned in relation to lights and windows and such. He considered Mobile's humidity and suggested harvester ants. I pretended like I gave his suggestion some thought and agreed. They are, right now, working diligently over my shoulder from their spot on the kitchen counter. Every day all of us stop in front of the farm to comment about the work they've done overnight. Last night my wife and I spent a while on my new favorite AI called Claude – I call him Claudius because he feels Roman to me – and learned that ants can go a month without food, they really need water, they nap for two minutes at a time, and their poop is microscopic. I've dropped hints about needing a big magnifying glass so we can see them up close, identify each of them and name them. Laugh all you want at my ant farm, but I've become very proud and protective of the health and vitality of my ants. Last night as my wife was staring in at the ants, she made some thoughtful observations about them. Each of the things she said, grammatically speaking, ended with a period and not a question mark. I remained focused on whatever I was doing, and I noticed a sudden change in her body language as she quickly stood up and walked away. My inner alarms sounded. "Did I do something wrong?" I asked. Well, apparently, in my house, my wife's thoughtful observations about ants deserve acknowledgements from me. Some sort of something suggesting I heard her and am now also considering her shared observations. And that sound is, I think, this: Huh. For example, when my wife says 'That ant, I think his name is Bruno, is carrying a grain of sand all the way from the main chamber to the little water chamber and found a perfect spot to put it.' I should reply: Huh. Apparently, based on her tone and body language in the debriefing of my errant ways, that 'Huh' matters. A lot. So all last night I offered lots of Huhs. And gave some extras that I asked her to bank for when I forget to reply Huh to her future sentences that end in periods and not question marks. I was told, however, that Huhs don't bank, which is a shame. So, get an ant farm. Don't forget the ants. Don't forget to Huh after your wife says something about the ants and it gets uncomfortably quiet in the room. I'm Cam Marston and I'm just trying to keep it real.

The sermon presents a historical and prophetic overview of the ongoing spiritual conflict between the faithful witnesses—those who uphold the pure gospel of Christ—and the combined forces of ecclesiastical and civil powers symbolized by the beast from the bottomless pit in Revelation 11. Centered on the 1,260-year period beginning with Charlemagne's coronation in 800 AD, it traces the persistent testimony of reform-minded individuals and groups—such as Claudius of Turin, the Waldensians, Albigensians, and pre-Reformation martyrs like Wycliffe and Hus—against the institutionalized corruption and persecution by the Roman Catholic Church, particularly through the Inquisition and state-sanctioned violence. Though the intensity of physical persecution has diminished in modern times, the sermon argues that the spiritual battle continues, now waged through deception and ideological seduction, warning that future intensification of opposition is prophesied. Ultimately, the message calls believers to spiritual preparedness through faithfulness, reliance on God's promises, and the daily renewal of spiritual armor, trusting in Christ's victory over evil and the assurance that God is faithful to strengthen His people through every trial, no matter how severe.

I sat down with Jonathan Claudius from Asymmetric Research to talk about the security landscape in Web3. We covered the new vulnerabilities emerging from LLMs and AI agents, the easy wins every founder should implement today, and why security can't be confined to a two-week audit window. Jonathan shares real examples from their work with the Interchain Foundation, explains how to balance shipping speed with security rigor, and gives practical advice on building defense in depth. If you're building in this space, this conversation will change how you think about security. • [01:03] How Asymmetric Research started from Jump Crypto and their shift to commercial engagements• [04:52] Real incident: Preventing a DPRK hacking group infiltration at Interchain Foundation• [08:18] New security threats from LLMs and AI agents - the offense vs defense arms race• [10:08] Bug bounty programs seeing high-quality submissions from LLM-enabled attackers• [13:46] Easy wins: Branch protection, security keys, linting, and static analysis tools• [16:24] Balancing speed and security through defense in depth strategies• [18:35] OpenClaw and AI agents creating new attack vectors like prompt injection• [22:14] Laptop security basics: MDM and EDR solutions every team needs• [25:19] Why Asymmetric focuses on human connection over productization• [29:14] Founder lessons: Building finance and BD systems earlyAsymmetric Research Website: https://asymmetric.reAsymmetric Research Careers: https://asymmetric.re/careerWeb3 with Sam Kamani: https://www.web3pod.xyz/Nothing mentioned in this podcast is investment advice and please do your own research. It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend. Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Chrysanthos was the only son of Polemon, a prominent pagan in Rome. As befit his status, he was given every opportunity for secular learning, but seemed unable to acquire worldly wisdom. By God's providence, copies of the Gospels and the Acts of the Apostles came into his possession and, reading them avidly, he was enlightened and desired above all to be a Christian. He found a priest, Carpophorus, who instructed him in the Faith and baptised him. When his father discovered Chrysanthos' conversion, he was angry and did everything he could to turn his son back to paganism, using even threats and imprisonment. When none of these measures worked, Polemon arranged for his son to be married to a beautiful and learned young pagan woman named Daria, hoping that affection for her would draw his son away from Christ. But instead, Chrysanthus persuaded Daria of the truth of Christianity, and she was secretly baptised.   When his father died, Chrysanthus and his wife began to confess Christ openly and to live publicly as Christians. They were soon arrested and grievously tortured for their faith. The torturer, whose name was Claudius, was so moved by their endurance and patience that he himself embraced the Faith, along with his whole household. For this they were executed: Claudius by drowning, his two sons by beheading, and his wife by hanging. Finally Chrysanthus and Daria were buried alive in a pit and covered with stones. This was during the reign of the Emperor Numerian.

2. The debate continues with a comparison of Emperor Trump to Nero and Claudius, questioning if his current crisis is a result of bad luck or hubris. While Claudius favored low-risk, calculated campaigns, Trump's offensive is characterized as a "rash and incalculably risky gambit" that mirrors strategic failures in Ukraine. This conflict has solidified the Russia-Chinabond and left Israel "naked and exposed" due to US failures. Germanicus argues that the US ignored the "weak points" of its own coalition, turning Gulf State bases into liabilities rather than security assets. Likening Trump's overconfidence to Hitler's before the invasion of Russia, the speakers suggest that the US has "got suckered" into a war it cannot win through air power alone. They conclude that the only rational path is to accept defeat and reorganize, as the Romans did when facing superior Persian cavalry. (2)1680 CONSTANTINOPLE

Ep 285 is loose and we are heading back to ancient Rome for another badass woman from history, the empress Messalina!Were the stories about her true? How did she dispose of her enemies? And what sort of sex contest is acceptable to YOU?The secret ingredient is...rumours!Get cocktails, poisoning stories and historical true crime tales every week by following and subscribing to The Poisoners' Cabinet wherever you get your podcasts. Find us and our cocktails at www.thepoisonerscabinet.com Join us Patreon: https://www.patreon.com/thepoisonerscabinet Find us on TikTok: https://www.tiktok.com/@thepoisonerscabinet Follow us on Instagram: https://www.instagram.com/thepoisonerscabinet/ Find us on Facebook: https://www.facebook.com/ThePoisonersCabinet Listen on YouTube: https://www.youtube.com/@ThePoisonersCabinet Sources this week include Messalina: The Life and Times of Rome's Most Scandalous Empress by Honor Cargill-Martin, National Georgraphic, ThoughtCo, Walks In Rome and Wiki dives into Messalina, Claudius, Caligula, and Tacitus. Hosted on Acast. See acast.com/privacy for more information.

We continue with The HAMLET Project, where we explore one scene (or section) of Shakespeare's Hamlet - one month at a time. To our knowledge, this is the first long-form, open rehearsal of this play available online! So yes, something new with Shakespeare.

Milo, Patrick and Phoebe are back at the Suetonius. Patrick is in charge this week for Rome's first ever nepo-uncle: Claudius. Sometimes in a palace coup, you just grab the nearest uncle and make him Emperor and if you're really lucky he conquers Britain. Something like that. Milo's Time for Questions show is being taped at Big Belly in London on Wednesday, a few tickets left if you're a London listener: https://bigbellycomedy.club/event/milo-edwards-presents-time-for-questions/ Loads more like this on the Patreon from just $5 per month, here: https://www.patreon.com/mastersofpod

We continue with The HAMLET Project, where we explore one scene (or section) of Shakespeare's Hamlet - one month at a time. To our knowledge, this is the first long-form, open rehearsal of this play available online! So yes, something new with Shakespeare.

Friends of the Rosary,Alongside Saints Cyril (827-869) and St Methodius (826-885), we honor today St. Valentine, Bishop and Martyr of Rome (died c. 269), a blessed Catholic priest beheaded.Valentine, along with St. Marius, aided the Christian martyrs during the Claudian persecution.Claudius Caesar, the Emperor, issued a decree forbidding young men from marrying to increase the size of his army. He believed that single men made better soldiers than married men.A young priest named Valentine defied this decree and urged young lovers to come to him in secret so that he could join them in the sacrament of matrimony.Claudius arrested and brought before him, attempting to convert him to Roman paganism rather than execute him. But Valentine tried to convert Claudius to Christianity, at which point the Emperor condemned him to death.While in prison, Valentine converted his jailer, Asterius, and his blind daughter, miraculously restoring her sight.The night before his execution, the priest wrote a farewell message to the girl and signed it affectionately "From Your Valentine," a phrase that lives on even to today.After performing many miraculous cures and giving much wise counsel he was beaten and beheaded under Claudius Caesar on February 14th, 273 AD in Rome.The church in which he is buried was already the first sanctuary Roman pilgrims visited upon entering the Eternal City.Today, St. Valentine's Day is a universal symbol of friendship and affection shared each anniversary of the priest's execution. Valentine has also become the patron of engaged and affianced couples.Ave Maria!Come, Holy Spirit, come!To Jesus through Mary!Here I am, Lord; I come to do your will.Please give us the grace to respond with joy!+ Mikel Amigot w/ María Blanca | RosaryNetwork.com, New YorkEnhance your faith with the new Holy Rosary University app:Apple iOS | New! Android Google Play• ⁠February 14, 2026, Today's Rosary on YouTube | Daily broadcast at 7:30 pm ET

The Annals was Tacitus' final work, covering the period from the death of Augustus Caesar in the year 14. He wrote at least 16 books, but books 7-10 and parts of books 5, 6, 11 and 16 are missing. Book 6 ends with the death of Tiberius and books 7-12 presumably covered the reigns of Caligula and Claudius. The remaining books cover the reign of Nero, perhaps until his death in June 68 or until the end of that year, to connect with the Histories. The second half of book 16 is missing, ending with the events of the year 66. We do not know whether Tacitus completed the work or whether he finished the other works that he had planned to write; he died before he could complete his planned histories of Nerva and Trajan, and no record survives of the work on Augustus Caesar and the beginnings of the Empire with which he had planned to complete his work as an historian. (From Wikipedia.)This is a collaborative reading.Translated by Alfred J. Church and William J. Brodribb.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

The Annals was Tacitus' final work, covering the period from the death of Augustus Caesar in the year 14. He wrote at least 16 books, but books 7-10 and parts of books 5, 6, 11 and 16 are missing. Book 6 ends with the death of Tiberius and books 7-12 presumably covered the reigns of Caligula and Claudius. The remaining books cover the reign of Nero, perhaps until his death in June 68 or until the end of that year, to connect with the Histories. The second half of book 16 is missing, ending with the events of the year 66. We do not know whether Tacitus completed the work or whether he finished the other works that he had planned to write; he died before he could complete his planned histories of Nerva and Trajan, and no record survives of the work on Augustus Caesar and the beginnings of the Empire with which he had planned to complete his work as an historian. (From Wikipedia.)This is a collaborative reading.Translated by Alfred J. Church and William J. Brodribb.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

The Annals was Tacitus' final work, covering the period from the death of Augustus Caesar in the year 14. He wrote at least 16 books, but books 7-10 and parts of books 5, 6, 11 and 16 are missing. Book 6 ends with the death of Tiberius and books 7-12 presumably covered the reigns of Caligula and Claudius. The remaining books cover the reign of Nero, perhaps until his death in June 68 or until the end of that year, to connect with the Histories. The second half of book 16 is missing, ending with the events of the year 66. We do not know whether Tacitus completed the work or whether he finished the other works that he had planned to write; he died before he could complete his planned histories of Nerva and Trajan, and no record survives of the work on Augustus Caesar and the beginnings of the Empire with which he had planned to complete his work as an historian. (From Wikipedia.)This is a collaborative reading.Translated by Alfred J. Church and William J. Brodribb.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

The Annals was Tacitus' final work, covering the period from the death of Augustus Caesar in the year 14. He wrote at least 16 books, but books 7-10 and parts of books 5, 6, 11 and 16 are missing. Book 6 ends with the death of Tiberius and books 7-12 presumably covered the reigns of Caligula and Claudius. The remaining books cover the reign of Nero, perhaps until his death in June 68 or until the end of that year, to connect with the Histories. The second half of book 16 is missing, ending with the events of the year 66. We do not know whether Tacitus completed the work or whether he finished the other works that he had planned to write; he died before he could complete his planned histories of Nerva and Trajan, and no record survives of the work on Augustus Caesar and the beginnings of the Empire with which he had planned to complete his work as an historian. (From Wikipedia.)This is a collaborative reading.Translated by Alfred J. Church and William J. Brodribb.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

The Annals was Tacitus' final work, covering the period from the death of Augustus Caesar in the year 14. He wrote at least 16 books, but books 7-10 and parts of books 5, 6, 11 and 16 are missing. Book 6 ends with the death of Tiberius and books 7-12 presumably covered the reigns of Caligula and Claudius. The remaining books cover the reign of Nero, perhaps until his death in June 68 or until the end of that year, to connect with the Histories. The second half of book 16 is missing, ending with the events of the year 66. We do not know whether Tacitus completed the work or whether he finished the other works that he had planned to write; he died before he could complete his planned histories of Nerva and Trajan, and no record survives of the work on Augustus Caesar and the beginnings of the Empire with which he had planned to complete his work as an historian. (From Wikipedia.)This is a collaborative reading.Translated by Alfred J. Church and William J. Brodribb.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

The Annals was Tacitus' final work, covering the period from the death of Augustus Caesar in the year 14. He wrote at least 16 books, but books 7-10 and parts of books 5, 6, 11 and 16 are missing. Book 6 ends with the death of Tiberius and books 7-12 presumably covered the reigns of Caligula and Claudius. The remaining books cover the reign of Nero, perhaps until his death in June 68 or until the end of that year, to connect with the Histories. The second half of book 16 is missing, ending with the events of the year 66. We do not know whether Tacitus completed the work or whether he finished the other works that he had planned to write; he died before he could complete his planned histories of Nerva and Trajan, and no record survives of the work on Augustus Caesar and the beginnings of the Empire with which he had planned to complete his work as an historian. (From Wikipedia.)This is a collaborative reading.Translated by Alfred J. Church and William J. Brodribb.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

We continue with The HAMLET Project, where we explore one scene (or section) of Shakespeare's Hamlet - one month at a time. To our knowledge, this is the first long-form, open rehearsal of this play available online! So yes, something new with Shakespeare.

Gyles has been an admirer of this guest since the 1960s: it's the great actor, Sir Derek Jacobi. Ever since he was recruited into Sir Laurence Olivier's bold new National Theatre at the Old Vic, Jacobi has been at the forefront of British acting talent. Gyles has seen him on stage many times - in Olivier's famous production of Othello, in Much Ado About Nothing, in Cyrano de Bergerac. You may also know Derek from his brilliant TV work - in I, Claudius and Last Tango in Halifax... he's also the voice of In The Night Garden. In this warm and rambling conversation, Derek tells Gyles about his young life in Leytonstone in East London, where his father owned a confectioners shop. He tells him about his childhood love of dressing up and his early exposure to theatre, when he was picked to go up on stage at the Palladium. He tells Gyles about his experience of stage fright and about his happy marriage. This is a wonderful episode with a great, and charming, man. Enjoy this. Hosted on Acast. See acast.com/privacy for more information.

Everitt and Ashworth chronicle Agrippina's successful campaign to marry her uncle Emperor Claudius, securing Nero's succession over Britannicus by hiring Seneca as tutor before poisoning Claudius with mushrooms in 54 AD.1561 PALATINE HILL