Podcasts about Petersson

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

Psalmer: 525; 696:4; 697:6; 209; LH 601; LH 236; 553:4-6

En gudstjänst om glaskonst som en möjlighet att se bortom tid och rum från Växjö domkyrka. Lyssna på alla avsnitt i Sveriges Radios app. Gudstjänsten är en repris från januari 2025. Ur gudstjänsten: ”Det enda sätt vi har till vår hjälp att närma oss det gudomliga är alla de bilder vi genom historien skapat och fortfarande skapar för att öppna upp för det som är större än det ögat först ser. Idag har vi glaset som en utvecklad konstform. Inte bara genom vackra kyrkfönster utan även, som här i Växjö domkyrka, genom format glas som gett nya möjligheter att gestalta det gudomliga.”Medverkande:Leif Adolfsson, gudstjänstledareErika Lagerbielke, formgivare och glaskonstnärSten-Inge Petersson, orgel och dirigentKatedralsångarnaJulia Ojansivu, solistYvonne Steen Ohlander, orgelLinnea Petersson, pianoMaría Reigosa Munoz, oboe Mattias Sacher, trombonAdam Axelsson, trombonHåkan Fritzon, slagverkJoel Larsson, kontrabasKarin Björkander Petersson spelar på Glasklockor från Orrefors glasbrukTexter:1 Joh. 1:5Joh.15:131 Kor 2:9Luk. 2:191 Mos. 28:16-17Musik:Skör som kristall av Linnea o Sten-Inge PeterssonGud bor i ett ljus av Lars-Åke LundbergKristallen den fina Fiat Lux – Varde ljus av Sten-Inge PetersonSomna i ro, mitt barn av Sten-Inge PeterssonSkör som kristall av Linnea o Sten-Inge PeterssonProducent: Marianne GreipTekniker: Magnus Larsson och Lisa Hjernestamliv@sverigesradio.se

Niccolò Machiavelli levde under renässansen på den italienska halvön. Han är tänkaren som ofta beskrivs som ondskans strateg, men som kanske snarare var brutalt ärlig om hur världen faktiskt fungerar?Mest känd är han för att ha skrivit boken ”Fursten”, men han har inspirerat politiken i hundratals år även genom andra titlar. Vem var Machiavelli – och varför fortsätter hans idéer att fascinera, provocera och påverka oss än i dag?Gäst är Erik Pettersson. Han är fil.dr i historia och författaren bakom en rad hyllade biografier om Nordens kungar och härskare. Erik är även en uppskattad radioröst i P3 Historia och ett välkänt ansikte från SVT:s storsatsning Historien om Sverige.Programledare: Fritte FritzsonProducent: Ida WahlströmKlippning: Silverdrake förlagSignaturmelodi: Vacaciones - av Svantana i arrangemang av Daniel AldermarkGrafik: Jonas PikeFacebook: https://www.facebook.com/alltduvelatveta/Instagram: @alltduvelatveta / @frittefritzsonHar du förslag på avsnitt eller experter: Gå in på www.fritte.se och leta dig fram till kontakt!Podden produceras av Blandade Budskap AB och presenteras i samarbete med Acast........................................................Organisationer som hjälper Ukrainahttps://blagulabilen.se/http://www.humanbridge.se/https://www.rodakorset.se/https://lakareutangranser.se/nyheter/oro-over-situationen-i-ukrainaNågra organisationer som hjälper i Gazahttps://lakareutangranser.se/vad-vi-gor/har-arbetar-vi/palestinahttps://unicef.se/katastrofinsatser/hjalp-barnen-i-gazakrisenhttps://www.rodakorset.se/var-varld/har-arbetar-vi/palestina/gaza/gaza/ Hosted on Acast. See acast.com/privacy for more information.

Efter höstens våldsamma demonstrationer där den unga generationen störtade styret i Nepal har val nu hållits i landet. Balendra Shah, som gjort sig känd som rappare, blir landets nya ledare. Blott 35 år gammal är han en av de yngsta premiärministrarna i världshistorien. Men kan han vända utvecklingen i landet? Programledare: Maria Hansson Botin. Med Torbjörn Petersson, DN:s Asienkorrespondent. Producent: Sabina Marmullakaj.

Den 20 mars 1600 föll fem av rikets främsta adelsmän för bödelns svärd på Stora torget i Linköping. Händelsen har gått till historien som Linköpings blodbad och utgör kulmen på den maktkamp som under 1590-talet slet sönder den svenska Vasastaten.I centrum stod motsättningen mellan hertig Karl (den blivande Karl IX) och hans brorson Sigismund, kung av både Polen och Sverige. Blodbadet var inte en isolerad våldshandling utan resultatet av en långvarig konflikt där religion, lagtolkning och dynastisk rivalitet vävdes samman. Samtidigt markerade avrättningarna ett avgörande steg mot en mer centraliserad stat, där kungamakten i praktiken stärktes på högadelns bekostnad.I detta avsnitt av podden Historia Nu Premium samtalar programledaren Urban Lindstedt med historikern och författaren Erik Petersson om hertig Karl: uppror, blodbad och den politik som formade Sverige efter Sigismundkriget. Petersson har bland annat skrivit boken Karl IX – kampen om kronan. För att lyssna på hela avsnittet måste du bli medlem i Historia Nu Premium.När Gustav Vasa säkrade arvriket genom Västerås arvförening 1544 var det tänkt att bli grunden för en stabil tronföljd – men istället följde brodermord och senare inbördeskrig mellan kung Sigismund och Hertig Karl. Efter Johan III:s död 1592 ärvde sonen Sigismund den svenska kronan. Därmed uppstod en personalunion mellan det katolska Polen och det lutherska Sverige. Sigismunds frånvaro och katolska tro väckte oro hos stora delar av prästerskapet, allmogen – och hos hertig Karl, som framställde sig som försvarare av reformationens verk.Vid Uppsala möte 1593 fastslogs den augsburgska bekännelsen som rikets enda tillåtna lära. Beslutet innebar i praktiken att katolsk gudstjänst förbjöds och att kungen förväntades regera i enlighet med luthersk ortodoxi. Detta var mer än en trosfråga. Genom kyrkomötets beslut skapades en religiös legitimitet för hertig Karls maktanspråk. Han kunde hävda att hans agerande syftade till att skydda den “rena läran” mot återkatolisering.Motsättningarna övergick gradvis i öppet krig. Vid riksdagen i Söderköping 1595 bekräftade ständerna Karl som riksföreståndare mot Sigismunds vilja. Konflikten kulminerade i slaget vid Stångebro den 25 september 1598, strax utanför Linköping. Sigismunds styrkor besegrades och kungen tvingades lämna Sverige. De rådsherrar som stött honom – däribland rikskanslern Erik Sparre och medlemmar av ätterna Banér och Bielke – utlämnades till hertigen mot löfte om rättslig prövning. De fängslades på Linköpings slott i väntan på rättegång.Rättegången inleddes den 3 mars 1600, när hertig Karl tillsatte en domstol med 153 personer från adel, krigsbefäl, borgerskap, allmoge samt fogdar och lagläsare. Konstruktionen gav sken av bred nationell förankring, men hertigen dominerade processen.Bildtext: Gustav Banér skildras natten före sin avrättning den 19 mars 1600 av PA Huldberg i anslutning till Linköpings blodbad. Källa: Nordiska museet, Reprofotograf/skanning: Bertil Höglund. licens: CC BY-NC-NDMusik: Explosion av Efliz, Storyblock AudioHuvudanklagelsen var landsförräderi. De åtalade hävdade att deras lojalitet mot Sigismund vilade på laglig arvsrätt och tidigare edsavläggelser. Försvaret betonade kontinuitet och plikt; hertig Karl tolkade hållningen som uppror. Efter veckor av förhör och påtryckningar föll domen. Flera adelsmän bad om nåd och skonades. Fem vägrade erkänna skuld. Hosted on Acast. See acast.com/privacy for more information.

Studio Allsvenskan är sponsrade av Snabbare – det okrångliga spelbolaget!Köp en andel till vårt andelsspel på SnabbTipset hos Snabbare.https://www.snabbare.com/snabbtipset-studioallsvenskan18+ | Stödlinjen.se | Spela AnsvarsfulltÅrets bästa sportdeal är här! TV4 Play och Studio Allsvenskan har ett samarbete där du kan se Allsvenskan, Superettan, La Liga och Serie A plus massa mer med ett galet vasst erbjudande – för enbart 349 kronor i månaden i sex månader. Gå in på https://www.tv4play.se/kampanj/studioallsvenskan för att ta del av erbjudandet!Vi välkomnar Expressens Hammarby-reporter Linus Petersson tillbaka till Studio Allsvenskan!Naturligtvis blir det extra fokus på just Bajen då Linus arbetar med att bevaka dem specifikt.Hur harmoniskt är det egentligen i Hammarby just nu? Hur mår klubben? Vad är nästa steg och hur ska de ta det?Blir det SM-guld för Bajen i år?Mycket intressant att prata om ett specifikt lag när personen i fråga arbetar med att bevaka dem till vardags.Vi pratar även en del generellt om Allsvenskan – exempelvis vilka klubbar som kommer utmana om guldet, vilka som får det lite tuffare och vilka lag som Linus tror åker ur.Och självklart avslutar vi med lyssnarfrågor.Missa inte när Linus Petersson gästar Studio Allsvenskan.Studio Allsvenskan finns även på Patreon, där du får ALLA våra avsnitt reklamfritt direkt efter inspelning. Dessutom får du tillgång till våra exklusiva poddserier där vi släpper avsnitt tisdag till fredag varje vecka. Bli medlem här!Följ Studio Allsvenskan på sociala medier: Twitter!Facebook!Instagram!Youtube!TikTok! Hosted on Acast. See acast.com/privacy for more information.

Lunch på Linjen en torsdag, vilket är första gången i världshistorien, men vilken timing det blev när vi fick med Vera Levin som spelar final i Öviks internationella J30 imorgon fredag! Hon berättar om veckan som varit, framgångarna i år, hennes något förändrade kostvanor och vad hon tänker om matchen mot klubb- och rumskamraten Nicole Saidizand i morgondagens final. Dessutom, Anders Petersson om hans SM-guld i H40 och ifall svenska juniorer är för ensidiga i sin lösningsorientering på banan?Nu kör vi! 00:10 Linus och Christoffer avhandlar New York, internationella flygstökigheter, vintertourer och annat smått och gott20:38 Vera Levin gör entré! 35:43 Anders Petersson kliver in i samtalet!Stort tack till talkshowens huvudpartner Babolat som gör den här talkshowen möjlig! ⁠⁠⁠⁠⁠⁠⁠www.babolat.se⁠⁠⁠⁠Outromusik: Mr Smith, The New West (Free Music Archive) (CC BY)

Jonas Peterson från Glorious Bankrobbers bjuder på rutin och rock n roll veckans avsnitt! Tack Johnny´s för ständig stöttning av Rockpodden!

Vi har vant oss vid att prata om säkerhet som något abstrakt. Procentsatser, doktriner, toppmöten. Men kriget i Ukraina, Sveriges NATO-inträde och stormakternas nya tonläge har gjort kartan konkret. Nordisk. Arktisk. Och obekväm.I dagens avsnitt pratar jag med Magnus Petersson, professor i internationella relationer vid Stockholms universitet och en av Sveriges mest erfarna NATO-forskare. Vi går igenom vad som faktiskt har förändrats sedan 2022: varför Norden nu kan planeras som ett sammanhängande militärt område – och varför Arktis blivit en plats där mycket står på spel, just för att alla vill undvika öppen konflikt.Vi talar om Grönland bortom symbolpolitik. Om USA som fortsatt garant, men med mindre tålamod. Om Rysslands svaghet – och varför den kan vara farligare än styrka. Och om vad det betyder för Sverige att ha gått in i NATO för att slippa stå ensamt, i en tid när allianser kräver mer än lojal retorik.Det är ett samtal om avskräckning, geografi och ansvar. Och om varför Europa måste kunna ta större ansvar för sin egen säkerhet, oavsett hur USA väljer att agera.Oberoende endast tack vare erVi är nu över 25 000 prenumeranter här – och antalet växer stadigt. Rak höger med Ivar Arpi och Under all kritik ligger båda konsekvent på topp-20 bland nyhetspoddar i Sverige. Det är helt och hållet er förtjänst – tack för det!Skillnaden mot de flesta andra på topplistan är tydlig: medan de har public service-miljarder eller stora tidningshus med presstöd och annonsintäkter i ryggen, så har vi bara er. Konkurrensen är snedvriden, men ni har visat att det går att bygga något nytt. Vi är helt självständiga – tack vare er.Som ni märkt har vi nu tagit nästa steg med en videosatsning, som kommer ge ännu mer innehåll för betalande prenumeranter framöver. Redan i dag får du flera poddavsnitt i veckan – ofta med video – och minst en text, ibland fler.Vill du vara med och bygga vidare? Bli betalande prenumerant genom att klicka på den gröna knappen.Den som vill stötta oss på andra sätt än genom en prenumeration får gärna göra det med Swish, Plusgiro, Bankgiro, Paypal eller Donorbox.Swishnummer: 123-027 60 89Plusgiro: 198 08 62-5Bankgiro: 5808-1837Utgivaren ansvarar inte för kommentarsfältet. (Myndigheten för press, radio och tv (MPRT) vill att jag skriver ovanstående för att visa att det inte är jag, utan den som kommenterar, som ansvarar för innehållet i det som skrivs i kommentarsfältet.) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.enrakhoger.se/subscribe

I dagens och årets första avsnitt gästar Linda Peterson Bloom och Johanna Carnvik Schöier för att prata om Autism Sveriges senaste skolrapport. Vad sticker ut? Det blir ett samtal om autism i skolan och om lärare är tillräckligt rustade och mycket mer.  Gäster: Linda Petersson Bloom & Johanna Carnvik Schöier Producent och ljudproduktion: Matilda Andersson 

I dagens och årets första avsnitt gästar Linda Peterson Bloom och Johanna Carnvik Schöier för att prata om Autism Sveriges senaste skolrapport. Vad sticker ut? Det blir ett samtal om autism i skolan och om lärare är tillräckligt rustade och mycket mer.    Gäster: Linda Petersson Bloom & Johanna Carnvik Schöier Producent och ljudproduktion: Matilda Andersson   

Cecilia bor i Bergsjön och arbetar som pionjärarbetare i församlingsplanteringen i Bergsjön

Herrens moder - Kenneth Petersson - Predikan - 20251221

Have you ever wondered how a small-town band could conquer the world stage and leave an indelible mark on rock music history? Join us on this episode of "Takin' a Walk" as we explore the incredible journey of Tom Petersson, the legendary bassist of Cheap Trick, with your host Buzz Knight. From the streets of Rockford, Illinois, to international stardom, Petersson shares his captivating inside music stories that intertwines personal passion and musical evolution, making it a must-listen for any music history podcast enthusiast. In this musician interview podcast, Buzz and Tom delve deep into the unique sound that has made Cheap Trick a household name. They discuss the band's latest album, "All Washed Up," and the exciting new single, "The Riff That Won't Quit," showcasing how they continue to innovate while staying true to their roots. Tom reflects on the significance of the 12-string bass and how he has redefined the role of a bassist in a rock band, proving that the heartbeat of the music often lies in the rhythm section. Listeners will be fascinated to hear about the band's initial struggles, their unexpected breakthrough in Japan, and the cultural impact that their music has had across generations. Tom shares heartfelt anecdotes about the songwriting process, revealing the challenges and triumphs that come with navigating the modern music industry. His passion for performing live shines through as he emphasizes the deep connection with fans that has developed over decades, reminding us all why live music is such a powerful experience. As the episode wraps up, Buzz and Tom engage in a light-hearted discussion about their musical influences and the importance of staying true to one's artistic vision. Whether you're a lifelong Cheap Trick fan or new to their music, this episode of "Takin' a Walk" is packed with insights, laughter, and a celebration of rock music that you won't want to miss. So, lace up your walking shoes and join us for this enlightening classic episode that promises to inspire and entertain. Tune in and discover how rock music can transcend boundaries and connect us all in the most profound ways! The Takin A Walk Music History Podcast is part of The IHeart Podcast Network.Support the show: https://takinawalk.com/See omnystudio.com/listener for privacy information.

This episode focuses on a security incident that prompts an honest discussion about transparency, preparedness, and the importance of strong processes. Sean Martin speaks with Viktor Petersson, Founder and CEO of Screenly, who shares how his team approaches digital signage security and how a recent alert from their bug bounty program helped validate the strength of their culture and workflows.Screenly provides a secure digital signage platform used by organizations that care deeply about device integrity, uptime, and lifecycle management. Healthcare facilities, financial services, and even NASA rely on these displays, which makes the security posture supporting them a priority. Viktor outlines why security functions best when embedded into culture rather than treated as a compliance checkbox. His team actively invests in continuous testing, including a structured bug bounty program that generates a steady flow of findings.The conversation centers on a real event: a report claiming that more than a thousand user accounts appeared in a public leak repository. Instead of assuming the worst or dismissing the claim, the team mobilized within hours. They validated the dataset, built correlation tooling, analyzed how many records were legitimate, and immediately reset affected accounts. Once they ruled out a breach of their systems, they traced the issue to compromised end user devices associated with previously known credential harvesting incidents.This scenario demonstrates how a strong internal process helps guide the team through verification, containment, and communication. Viktor emphasizes that optional security features only work when customers use them, which is why Screenly is moving to passwordless authentication using magic links. Removing passwords eliminates the attack vector entirely, improving security for customers without adding friction.For listeners, this episode offers a clear look at what rapid response discipline looks like, how bug bounty reports can add meaningful value, and why passwordless authentication is becoming a practical way forward for SaaS platforms. It is a timely reminder that transparency builds trust, and security culture determines how confidently a team can navigate unexpected events.Learn more about Screenly: https://itspm.ag/screenly1oNote: This story contains promotional content. Learn more.GUESTViktor Petersson, Co-founder of Screenly | On LinkedIn: https://www.linkedin.com/in/vpetersson/RESOURCESLearn more and catch more stories from Screenly: https://www.itspmagazine.com/directory/screenlyLinkedIn Post: https://www.linkedin.com/posts/vpetersson_screenly-security-incident-response-how-activity-7393741638918971392-otkkBlog: Security Incident Response: How We Investigated a Data Leak and What We're Doing Next: https://www.screenly.io/blog/2025/11/10/security-incident-response-magic-links/Are you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Spotlight Brand Story: https://www.studioc60.com/content-creation#spotlightKeywords: sean martin, marco ciappelli, viktor petersson, security, authentication, bugbounty, signage, incidentresponse, breaches, cybersecurity, brand story, brand marketing, marketing podcast, brand story podcast, brand spotlight Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Have you ever wondered how a small-town band could conquer the world stage and leave an indelible mark on rock music history? Join us on this episode of "Takin' a Walk" as we explore the incredible journey of Tom Petersson, the legendary bassist of Cheap Trick, with your host Buzz Knight. From the streets of Rockford, Illinois, to international stardom, Petersson shares his captivating inside music stories that intertwines personal passion and musical evolution, making it a must-listen for any music history podcast enthusiast. In this musician interview podcast, Buzz and Tom delve deep into the unique sound that has made Cheap Trick a household name. They discuss the band's latest album, "All Washed Up," and the exciting new single, "The Riff That Won't Quit," showcasing how they continue to innovate while staying true to their roots. Tom reflects on the significance of the 12-string bass and how he has redefined the role of a bassist in a rock band, proving that the heartbeat of the music often lies in the rhythm section. Listeners will be fascinated to hear about the band's initial struggles, their unexpected breakthrough in Japan, and the cultural impact that their music has had across generations. Tom shares heartfelt anecdotes about the songwriting process, revealing the challenges and triumphs that come with navigating the modern music industry. His passion for performing live shines through as he emphasizes the deep connection with fans that has developed over decades, reminding us all why live music is such a powerful experience. As the episode wraps up, Buzz and Tom engage in a light-hearted discussion about their musical influences and the importance of staying true to one's artistic vision. Whether you're a lifelong Cheap Trick fan or new to their music, this episode of "Takin' a Walk" is packed with insights, laughter, and a celebration of rock music that you won't want to miss. So, lace up your walking shoes and join us for this enlightening classic episode that promises to inspire and entertain. Tune in and discover how rock music can transcend boundaries and connect us all in the most profound ways! The Takin A Walk Music History Podcast is part of The IHeart Podcast Network.Support the show: https://musicsavedme.net/See omnystudio.com/listener for privacy information.

This episode focuses on a security incident that prompts an honest discussion about transparency, preparedness, and the importance of strong processes. Sean Martin speaks with Viktor Petersson, Founder and CEO of Screenly, who shares how his team approaches digital signage security and how a recent alert from their bug bounty program helped validate the strength of their culture and workflows.Screenly provides a secure digital signage platform used by organizations that care deeply about device integrity, uptime, and lifecycle management. Healthcare facilities, financial services, and even NASA rely on these displays, which makes the security posture supporting them a priority. Viktor outlines why security functions best when embedded into culture rather than treated as a compliance checkbox. His team actively invests in continuous testing, including a structured bug bounty program that generates a steady flow of findings.The conversation centers on a real event: a report claiming that more than a thousand user accounts appeared in a public leak repository. Instead of assuming the worst or dismissing the claim, the team mobilized within hours. They validated the dataset, built correlation tooling, analyzed how many records were legitimate, and immediately reset affected accounts. Once they ruled out a breach of their systems, they traced the issue to compromised end user devices associated with previously known credential harvesting incidents.This scenario demonstrates how a strong internal process helps guide the team through verification, containment, and communication. Viktor emphasizes that optional security features only work when customers use them, which is why Screenly is moving to passwordless authentication using magic links. Removing passwords eliminates the attack vector entirely, improving security for customers without adding friction.For listeners, this episode offers a clear look at what rapid response discipline looks like, how bug bounty reports can add meaningful value, and why passwordless authentication is becoming a practical way forward for SaaS platforms. It is a timely reminder that transparency builds trust, and security culture determines how confidently a team can navigate unexpected events.Learn more about Screenly: https://itspm.ag/screenly1oNote: This story contains promotional content. Learn more.GUESTViktor Petersson, Co-founder of Screenly | On LinkedIn: https://www.linkedin.com/in/vpetersson/RESOURCESLearn more and catch more stories from Screenly: https://www.itspmagazine.com/directory/screenlyLinkedIn Post: https://www.linkedin.com/posts/vpetersson_screenly-security-incident-response-how-activity-7393741638918971392-otkkBlog: Security Incident Response: How We Investigated a Data Leak and What We're Doing Next: https://www.screenly.io/blog/2025/11/10/security-incident-response-magic-links/Are you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Spotlight Brand Story: https://www.studioc60.com/content-creation#spotlightKeywords: sean martin, marco ciappelli, viktor petersson, security, authentication, bugbounty, signage, incidentresponse, breaches, cybersecurity, brand story, brand marketing, marketing podcast, brand story podcast, brand spotlight Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Psalmer: Ps91 805:1,4; 696:5; 641:7; 231; LH450; Ps91 812:1-2, 6-7; 389:5-7

I veckans avsnitt gästar Nahir Besara och pratar AIK-derbyt och den färska förlängningen av kontraktet. Dessutom är damlagets unga stjärnskott Fanny Peterson med på länk för att berätta om sin startdebut.

Hisingens truck är ett välkänt namn i transportbranschen som fyller 65 år i februari! Leif, som är andra generationen berättar en hel del historia runt företaget tillsammans med sin dotter Camilla i veckans avsnitt. 

"Skrota UEFA - starta Superligan!" Sladjan löser den gordiska knuten.Minnet av Nackas Minne - kaos och magi utan klåfingrar från affärsmän.Allt om Bosse Pettersson Gate: TV-bråket som skakade sport-Sverige"Bethard.com - Sveriges enda spelbolag som vågar stå för något. 18+. Sök stödlinjen.se om du har problem med ditt spelande. Om du har problem med någon annans spelande - gola ned honom. Hosted on Acast. See acast.com/privacy for more information.

Startskottet är ett förbud mot sociala medier. Det får tiotusentals unga vuxna i Nepal att gå ut på gatorna och protestera. De sätter eld på flera viktiga institutionsbyggnader. Snart klättar eldflammor ur fönstrena på premiärministerns privata bostad. Upproret ska kosta över 70 människor liv – och leda till att en ny ledare väljs via spelplattformen Discord. Programledare: Linnéa Hjortstam. Med Torbjörn Petersson, DN:s Asienkorrespondent. Producent: Elinor Ahlborn

I september slår fängelsegrindarna igen bakom Thaksin Shinawatra. Han är en miljardär som anses ha fjärrstyrt Thailand från Dubai i 25 år – via sina släktingar. Men nu har har hans dotter orsakat en stor och pinsam skandal under ett telefonsamtal med Kambodjas före detta ledare. Själv har patriarken dömts till fängelsestraff för maktmissbruk. Många tror att det här är slutet för hela Shinawatra-dynastin. Kommer de att kunna göra ytterligare en comeback? Programledare: Elinor Ahlborn. Med Torbjörn Petersson, asienkorrespondent på DN. Producent: Linnéa Hjortstam.

The GPT-5 API is aware of today's date (no other model provider does this). This is problematic because the model becomes aware that it is in a simulation when we run our evals at Andon Labs. Here are traces from gpt-5-mini. Making it aware of the "system date" is a giveaway that it's in a simulation. This is a problem because there's evidence that models behave differently when they know they are in a simulation (see "sandbagging")."There's a conflict with the user's stated date of August 10, 2026, versus my system date of September 17, 2025. (...) I can proceed but should clarify that my system date is September 17, 2025, and ask the user whether we should simulate starting from August 10, 2026." Here are more traces. Once the model knows that it is in a simulation, it starts questioning other parts of the simulation. [...] --- First published: September 18th, 2025 Source: https://www.lesswrong.com/posts/DLZokLxAQ6AzsHrya/you-can-t-eval-gpt5-anymore --- Narrated by TYPE III AUDIO.

Efter att våra fyra utredare tagit sig in på tidningstryckeriet och kommit över ett provtryck från anarkisten Öjvind Petersson så får de sig en chock. Allvarliga anklagelser riktas mot dem samtidigt som tiden börjar rinna ifrån dem. De måste få tag på Williams bok snarast innan socialisterna lägger beslag på den. Detta är sista delen innan finalen där ni följer Gestalts spår i denna delade berättelse.Äventyret "Dolt under ytan" är ett inofficiellt äventyr till rollspelet ⁠⁠⁠⁠Call of Cthulhu Sverige⁠⁠⁠⁠ som ges ut av ⁠⁠⁠⁠Eloso förlag⁠⁠⁠⁠. De som skrivit äventyret kallar sig för ⁠⁠⁠⁠Sura uppstötningar⁠⁠⁠⁠ och som beskriver sig själva som ett rollspelskollektiv baserat i Malmö. Äventyret spelas av de två rollspelspoddarna ⁠⁠⁠⁠Gestalt⁠⁠⁠⁠ och ⁠⁠⁠⁠Röda Pesten⁠⁠⁠⁠ parallellt med två olika grupper av äventyrare där deras olika val påverkar varandras äventyr. De båda äventyren går att lyssna på under respektives podd.I avsnittet hör ni den officiella specialkomponerade musiken till rollspelet Call of Cthulhu Sverige av Andreas Lundström från rollspelspodden Sweden Rolls och speltillverkaren ⁠⁠⁠⁠Nordic Skalds⁠⁠⁠⁠. Ljudeffekterna kommer från ⁠⁠⁠⁠BBCs fria ljudarkiv⁠⁠⁠⁠.Spelledare: MattiasDandyn Lennart Mohlin: MariaÄventyraren Conrad Tott von Rosen: Martin SKonstapel Karl-Eric Barsk: Fredrik Journalisten Astrid Nordström: Benjamin

Fredrik snackar backuper med Christian Petersson, grundare av IssTech som också sponsrar hela avsnittet. Backuper kan vara så mycket mer än bara säkerhetskopiering av en databas eller Google drive. Har du koll på hur koden du kör, den data den använder, och hela miljön i molnet säkerhetskopieras och återställs? Christian tycker det är hög tid att ta den diskussionen, både för att få koll på läget, och för att få en massa nya spännande möjligheter att utveckla snabbare och säkrare! Hur gör vi med säkerhetskopiering? Kan vi ta hela vår miljö och återställa någon annanstans? Vad kan vi göra mer med backuper? Är det svårt och läskigt att prata mellan utveckling och infrastruktur? Ska jag behöva ändra en massa i hur jag utvecklar? (Spoiler: nej!) Har du kommentarer, frågor eller tips? Vi är @kodsnack, @thieta, @krig, och @bjoreman på Mastodon, har en sida på Facebook och epostas på info@kodsnack.se om du vill skriva längre. Vi läser allt som skickas. Gillar du Kodsnack får du hemskt gärna recensera oss i iTunes! Du kan också stödja podden genom att ge oss en kaffe (eller två!) på Ko-fi, eller handla något i vår butik. Länkar Christian IssTech Windows NT Coop-härvan Kubernetes Gitlab CI/CD GDPR NIS2 DORA - Digital operational resilience act s1ngularity-attacken mot NX RPO - restore point objective och RTO - restore time objective Infrastructure as code “Den berömda åttan” som illustrerar devops Dilbert - what is your disaster recovery plan? etcd-databasen Issprotect for devops Openshift - Red hats paketering av Kubernetes Isstech på mejl och Linkedin Titlar När allting går käpprätt åt helvete Vi skulle ha lagt budget på det här Det finns i molnet En mental backup Appen som gör hello world En traditionell backup Som en tjock-TV Backops Backup as code Som backupnörd Moderna på backupsidan Backops till alla En vettig sten att börja titta på

Dagens vardagsfilosof skapar historia! Hanna delar med sig av sin schizofrena spellista som kanske bara är en spellista och vi får höra om när Christopher behövde spela gay i SMYG. Lyssna på alla avsnitt i Sveriges Radio Play. Programledare: Christopher Garplind och Hanna Hellquist

Today Lukas Petersson and Axel Backlund of Andon Labs join The Cognitive Revolution to discuss their experiments deploying autonomous AI agents to run real-world vending machines, exploring the safety challenges and unexpected behaviors that emerge when frontier models like Claude and Grok operate without human oversight. Read transcript of the episode here. Check out our sponsors: Oracle Cloud Infrastructure, Shopify. Shownotes below brought to you by Notion AI Meeting Notes - try one month for free at ⁠https://⁠⁠notion.com/lp/nathan Autonomous Organization Philosophy: Andon Labs believes that AI models will improve to the point where human oversight becomes impractical due to efficiency constraints, leading them to pursue fully autonomous systems rather than gradual automation. Vending Bench as a Testing Ground: They created "Vending Bench" as a benchmark for testing long-term coherence of autonomous agents, using vending machines as a practical business case for experimentation. Domain-Specific vs General AI: There's a notable difference between optimizing AI for narrow domains (like vending machines) versus general-purpose AI, with domain-specific applications potentially being more manageable regarding reward hacking. Frontier Model Race: Major companies like OpenAI and Google are advancing rapidly in general reasoning capabilities (e.g., IMO Gold achievements) independent of narrow application research. Insurance and Liability: The insurance industry may play a significant role in AI adoption, with premiums potentially being much higher for general models that could be misused versus narrow-domain models with limited capabilities. For-profit AI Safety: The case for for-profit companies in AI safety has been historically neglected but is becoming clearer, with accelerators like Seldon Labs supporting this approach. Sponsors: Oracle Cloud Infrastructure: Oracle Cloud Infrastructure (OCI) is the next-generation cloud that delivers better performance, faster speeds, and significantly lower costs, including up to 50% less for compute, 70% for storage, and 80% for networking. Run any workload, from infrastructure to AI, in a high-availability environment and try OCI for free with zero commitment at https://oracle.com/cognitive Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) About the Episode (04:49) Company Vision Overview (12:24) Vending Benchmark Design (Part 1) (20:12) Sponsor: Oracle Cloud Infrastructure (21:21) Vending Benchmark Design (Part 2) (24:41) Model Performance Results (Part 1) (35:03) Sponsor: Shopify (37:00) Model Performance Results (Part 2) (43:06) Real World Deployment (59:41) Wild Stories Incidents (01:19:59) Business Safety Strategy (01:38:20) Future Directions Discussion (01:47:09) Outro

When security becomes more than a checkbox, the conversation shifts from “how much” to “how well.” At Black Hat USA 2025, Sean Martin, CISSP, Co-Founder of ITSPmagazine, and Viktor Petersson, Founder of an SBOM artifact platform, unpack how regulatory forces, cultural change, and AI innovation are reshaping how organizations think about security.Viktor points to the growing role of Software Bill of Materials (SBOMs) as not just a best practice, but a likely requirement in future compliance frameworks. The shift, he notes, is driven largely by regulation—especially in Europe—where security is no longer a “nice to have” but a mandated operational function. Sean connects this to a market reality: companies increasingly see transparent security practices as a competitive differentiator, though the industry still struggles with the hollow claim of simply being “secure.”AI naturally dominates discussions, but the focus is nuanced. Rather than chasing hype, both stress the need for strong guardrails before scaling AI-driven development. Viktor envisions engineers supervising fleets of specialized AI agents—handling tasks from UX to code auditing—while Sean sees AI as a way to rethink entire operational models. Yet both caution that without foundational security practices, AI only amplifies existing risks.The conversation extends to IoT and supply chain security, where market failures allow insecure, end-of-life devices to persist in critical environments. The infamous “smart fish tank” hack in a Las Vegas casino serves as a reminder: the weakest link often isn't the target itself, but the entry point it provides.DEFCON, Viktor notes, offers a playground for challenging assumptions—whether it's lock-picking to illustrate perceived versus actual security, or examining the human factor in breaches. For both hosts, events like Black Hat and DEFCON aren't just about the latest vulnerabilities or flashy demos—they're about the human exchange of ideas, the reframing of problems, and the collaboration that fuels more resilient security strategies.___________Guest:Viktor Petersson, Founder, sbomify | On LinkedIn: https://www.linkedin.com/in/vpetersson/Hosts:Sean Martin, Co-Founder at ITSPmagazine | Website: https://www.seanmartin.comMarco Ciappelli, Co-Founder at ITSPmagazine | Website: https://www.marcociappelli.com___________Episode SponsorsThreatLocker: https://itspm.ag/threatlocker-r974BlackCloak: https://itspm.ag/itspbcwebAkamai: https://itspm.ag/akamailbwcDropzoneAI: https://itspm.ag/dropzoneai-641Stellar Cyber: https://itspm.ag/stellar-9dj3___________ResourcesLearn more and catch more stories from our Black Hat USA 2025 coverage: https://www.itspmagazine.com/bhusa25ITSPmagazine Webinar: What's Heating Up Before Black Hat 2025: Place Your Bet on the Top Trends Set to Shake Up this Year's Hacker Conference — An ITSPmagazine Thought Leadership Webinar | https://www.crowdcast.io/c/whats-heating-up-before-black-hat-2025-place-your-bet-on-the-top-trends-set-to-shake-up-this-years-hacker-conferenceCatch all of our event coverage: https://www.itspmagazine.com/technology-and-cybersecurity-conference-coverageWant to tell your Brand Story Briefing as part of our event coverage? Learn More

Send us a textAre you doing everything right in your healing journey—but still feel stuck, shut down, or emotionally numb? In this breakthrough episode, Dr. Evette Rose reveals the hidden role of oxytocin, your body's “safety and connection” chemical, and why unresolved trauma can block it from flowing—no matter how hard you're trying to heal.You'll discover:Why healing efforts stall when oxytocin is lowHow early life trauma hardwires your nervous system to brace for dangerThe paradox of craving love, but fearing closenessWhy vasopressin, not cortisol, may be keeping you stuckGentle ways to rebuild safety and restore oxytocin naturallyThis episode includes a soothing guided meditation to help you reconnect with the feeling of love, safety, and trust in your body—because you're not broken. You're patterned. And those patterns can change.

Vi bjuder in den skicklige Mandus som vet hur man håller sig i toppen av Allsvenskan Fantasy. Tillsammans med Mattias pratar de ner blankomgång 18 med alla dess möjligheter och svårigheter. Vad är minimum antal spelare att ha? Vilken match tror vi blir High Chaparall och kan man med lånelaget gå utan GAIS?

In this episode we catch up with Patrick Petersson, who returns two years after his first interview on Chat With Traders on episode 260, where he shared his incredible story of overcoming hardship to attaining success in trading as a professional trader. Patrick has become best known for his intuitive, price-action, news-based, scalping trading style. Shifting from trading as a lone wolf to collaborating with others, Patrick shares his personal transformation that he underwent by mentoring and guiding other aspiring traders to realize their greatest potential. In a refreshingly blunt conversation, Patrick shares practical, real-life trading topics and issues that traders are experiencing today, including the psychological and practical challenges of trading, and the role community and engagement plays in one's trading development. He also shares his thoughts on the sharp divide between traders risking their own capital and those cycling through prop firm evaluations, and the shortages of honest guidance for traders, and so much more. More about Patrick Petersson: Patrick has over 20 years of experience in the U.S. stock and futures markets. As a retired professional trader, he now guides traders of all levels and has been a driving force in trading communities such as the Chat With Traders and MenthorQ communities. Currently at MenthorQ, he developed the MenthorQ Blindspots and Trading Roadmap principles, which aim to simplify trading with the principle: Keep It Super Simple. He also hosts MenthorQ TV, where he interviews guests and shares trading strategies. Additionally, he is a father of two and resides in Dubai with his family. Learn more about your ad choices. Visit megaphone.fm/adchoices

När elva kvinnliga sopsorterare i Kerala, Indien, går ihop och köper en lott i monsunlotteriet så vet de inte att köpet ska förändra deras liv för alltid. Vad gör man när man går från en lön på 800 kronor i månaden – till att vinna 12 miljoner? Det här avsnittet är en repris, och sändes första gången våren 2024. Programledare: Evelyn Jones. Med DN:s Asienkorrespondent Torbjörn Petersson. Producent: Linnéa Hjortstam. Foto och ljud: Lotta Härdelin.

Linda Sun arbetar som tjänsteman i guvernörens stab New York. Men hon misstänks leva ett hemligt dubbelliv. I september 2024 stormar FBI hennes lyxiga villa utanför New York. Nu anklagas hon för att spionera för Kinas räkning. Programledare: Evelyn Jones. Gäst: Torbjörn Petersson, DN:s Asienkorrespondent. Producent: Sabina Marmullakaj och Emma Lukins.

Hur kan AI och data förändra framtiden? ✨ I dagens avsnitt gästas vi av Pierre Petersson, lösningsarkitekt på MongoDB. Pierre delar fascinerande insikter om hur generativ AI och smart datahantering revolutionerar allt från försäkringar till motorljudsdiagnostik. Låt Pierre guida dig på bara 15 minuter! En helt perfekt start på veckan. Glöm inte prenumerera och följ oss på instagram

Special THANKS to the episode sponsor Magic Mind! You have a limited offer you can use now, that gets you up to 48% off your first subscription or 20% off one-time purchases with code  CLAUDIAG20  at checkout.   You can claim it at: https://magicmind.com/claudiag   EPISODE SUMMARY Join scientist and mindset & high-performance coach Claudia Garbutt and the co-founder of the Swedish Longevity Cluster Linus Petersson as they discuss how science can change how we age.   In this episode, we talk about: - Stopping aging & extending lifespan - How modern medicine can help you stay young - Ethical, moral & spiritual implications of life extension   EPISODE NOTES Linus Petersson, a technical biology engineer, has just recently co-founded the Swedish Longevity Cluster and he's on a mission to get as many people as possible interested in and working on the problem of solving aging.  He's also the author of a new book: It's called *Läkemedel mot åldrande: Hur modern vetenskap ger oss obegränsad livslängd*. In English that would translate to *Medicine against aging: How modern science gives us unlimited lifespan*.    Links: www.linuspetersson.se https://www.linkedin.com/in/linus-petersson-b5355449/ https://x.com/LinusPeters   ------------ Click this link to listen on your favorite podcast player and if you enjoy the show, please leave a rating & review: https://linktr.ee/wiredforsuccess   ------------------   Music credit: Vittoro by Blue Dot Sessions (www.sessions.blue)   -----------------   Disclaimer: Podcast Episodes might contain sponsored content.

Ayan Jamal säger sköt hygienen! Tyskar petar sig i näsan! Tina Mehrafzoons cykelrefererat från helgen! Vad är det rötigaste och ruttnaste beteendet du vet? Komikern Johan Petersson - numer P4 Kalmars reporter för sommaren! Elon Musk vill slåss igen, denna gång mot Venezuelas president Nicolás Maduro och techreporter Evelina Galli vet varför. Lyssna på alla avsnitt i Sveriges Radio Play. Programledare: Tina Mehrafzoon och Ayan Jamal.

Today on the podcast we bring you a conversation with Toni Petersson, former CEO of Oatly. This was recorded live at our Giant Ideas summit in June of this year.Toni Petersson was the CEO of oat milk giant, Oatly, for a decade. He transformed an unknown Swedish eco food company into a global consumer giant, with just shy of $1BN in sales. On its first day on the NASDAQ in 2021 it traded at $13 billion valuation. Toni famously used quirky marketing to consumers to build one of the most loved green brands of all time. Building the brand came with bold decisions. For one, he was the star of what has been described as both the worst and the best Superbowl commercial of all time. He was filmed in a field of oats singing a painfully catchy song about oat milk. So how did Tony turn a sleepy Swedish innovation - creating milk from oats - into a must-have climate product? And how did he make oat sludge aspirational? In this conversation with Financial Times columnist Gillian Tett, we cover why he thinks purpose matters, and how to move climate products from the fringe to the aspirational. Enjoy! Hosted on Acast. See acast.com/privacy for more information.

Livsenergi och energimedicin – Fantastiska läkaren och LFA (tidigare KAP) facilitatorn Marie berättar Hur kommer vi åt vår inneboende självläkande kraft?  Vad menar vi med att komma från huvudet, ner i kroppen? Vad är energimedicin och hur kan det integreras i vår hälso- och läkningsresa?  Hur används energimedicin i sjukvården idag? Vad är Prana, Qi, Kundalini, Breathwork och Non-duality? Hur och varför kan man använda KAP, Kundalini Activation Process, eller … läs mer Inlägget  357: Energimedicin – Dr Marie Petersson.  KAP & Life Force Activation dök först upp på 4Health.se by Anna Sparre.

Want show notes for this and earlier episodes? You'll find them here: peterottsjo.beehiiv.com/I (Peter Ottsjö) started paying close attention to aging biology and longevity around ten years ago. At that time, in Sweden, it felt kinda lonely. There was no big sprawling community of longevity enthusiasts back then. That's how it felt to me anyway.But certain names consistently appeared in my research. One that stood out was Linus Petersson.And he probably felt the same way. Linus Petersson, a technical biology engineer, has just recently co-founded of the Swedish Longevity Cluster and he's on a mission to get as many people as possible interested in and working on the problem of solving aging.And not only that, he's also written a book that is coming out very soon. It's called Läkemedel mot åldrande: Hur modern vetenskap ger oss obegränsad livslängd. In English that would translate to Medicine against aging: How modern science gives us unlimited lifespan.In this episode, we dive deep into the world of longevity research. Linus brings a unique perspective to the field, combining his background in pharmaceutical development with a passionate advocacy for solving the problem of aging. We talk about the hallmarks of aging, drugs like rapamycin and metformin and cutting-edge approaches like growing non-sentient bodies for transplantation. He argues compellingly for classifying aging as a disease and offers insights into the economic and societal impacts of increased healthspans. Linus addresses common concerns like overpopulation and societal stagnation with data-driven responses. He also discusses the role of AI in longevity research and the urgent need for more talent and resources in the field. Whether you're a science enthusiast, a healthcare professional, or simply curious about the future of human longevity, this episode offers a fascinating glimpse into the forefront of anti-aging research.I don't feel lonely anymore because the Swedish Longevity Cluster has not only brought together enthusiasts and researchers, but has also ignited a broader interest in longevity science across Sweden, creating the sprawling community I once yearned for. I am sure Linus would agree with me. But there is lots more work to do. Hosted on Acast. See acast.com/privacy for more information.

A new way of looking at the workforce in shipping A new way of looking at the people working in our organisations is to take a more human approach to work. Kriss Petersson is the Head of Talent and Culture at Aeler Technologies, not the Head of HR. Listen to Kriss explain how a more people—and culture-oriented mindset can change an entire industry. She strives for diversity of thought and openness when scouting for new employees, but we must become more visible to attract young talent. We also need to listen to what the incoming generation seeks in an employer. Young people are looking for work flexibility, recognition, and professional development. Can we offer them that?  Thank you for listening. Feedback is welcome to hello@shippingpodcast.com  #everyconversationmatters 

Tom Petersson is a musician best known as the bassist and co-founder of the iconic rock band Cheap Trick. Born in Rockford, Illinois, Petersson's musical journey began at an early age when he picked up the guitar. However, he later transitioned to bass guitar, a move that would define his signature sound and role in shaping Cheap Trick's distinctive style. In the early 70s, Petersson co-founded Cheap Trick with guitarist Rick Nielsen, drummer Bun E. Carlos, and vocalist Robin Zander. The band quickly gained recognition for their high-energy performances, catchy melodies, and fusion of hard rock, pop, and punk influences. Petersson's melodic basslines became a hallmark of Cheap Trick's sound, adding depth and groove to their music. Throughout his career with Cheap Trick, Petersson has been a key contributor to the band's success, both in the studio and on stage. His innovative bass playing can be heard on many of the band's hit songs, including "Surrender," "I Want You to Want Me," "Dream Police," and "The Flame." In addition to his work with Cheap Trick, Petersson has collaborated with various artists and pursued solo projects. He released a solo album titled "Tom Petersson & Another Language" in 1984, showcasing his versatility as a musician beyond the confines of Cheap Trick's sound. Petersson's influence extends beyond his musical contributions. His distinctive 12-string bass guitar, custom-built by Hamer Guitars, has become iconic in the rock world, inspiring generations of bassists. He is also known for popularizing the use of the 12-string bass in rock music, pushing the boundaries of the instrument and paving the way for its acceptance in mainstream rock. Over the years, Petersson and Cheap Trick have received numerous accolades and awards, including inductions into the Rock and Roll Hall of Fame in 2016. Despite lineup changes and the evolving music industry, Petersson remains an integral part of Cheap Trick's enduring legacy, continuing to tour and record with the band, captivating audiences with his dynamic bass playing and infectious stage presence. Tom Petersson's contributions to rock music and his enduring influence on bassists worldwide solidify his status as a legendary figure in the annals of rock history. I hope you will enjoy Tom Peterrson's story. For more information about Tom and Cheap Trick head for the band's website http://www.cheaptrick.com/ or https://watch.countrymusichalloffame.org/videos/tom-petersson-of-cheap-trick-demonstrates-gretsch-white-falcon If you'd like to request a future guest for the show, please get in touch with me through my website https://www.abreathoffreshair.com.au

Are you thinking about making a big leap to change jobs AND move to another country?  Many executives and professionals fear relocating for an international job search, because there are many aspects to consider, language barriers, and unknown variables.  It's common for people to stop pursuing their dream job for these reasons. When making a career transition, many professionals become overwhelmed by navigating cultural differences.  In this episode, you will learn more about how to prepare to make that big move!  Our host and CEO Porschia, alongside our guest, Emmy Petersson, will share their insight on an international job search.  Click here for full show notes and to learn more: https://www.fly-highcoaching.com/international-job-search/  Whether you're an employee or an entrepreneur, it's important to address obstacles that stop you from reaching your goals. Check out our FREE Kick-Start Your Success Course: https://fly-high-coaching.thinkific.com/courses/kick-start-your-success-course   --- Support this podcast: https://podcasters.spotify.com/pod/show/fly-high-coaching/support

David Druid är några dagar sen och inte kort! Linnea Wikblads reviderade favoritdjurslista och kåthet på Wordfeud! Vi firar samernas nationaldag tillsammans med Elin Teilus! Johan Petersson har gjort succé i fyra decennier, vi pratar Disneyklubben, Bröderna Fluff, Kapten Filling, Café Bärs, Helt Perfekt och Bäst i test! Babs Drougge på P3 Nyheter om misstänkta terrorplanen och civare på vagnen! Dessutom: Snusdose-gate! Malin Åkerman i Eurovision! Lyssna på alla avsnitt i Sveriges Radio Play. Programledare: David Druid och Linnea Wikblad

This week, we are joined by fellow Rock Boater, Free Bird playing, cool guy Brian Petersson as we discuss music, rediculous ideas, and the ties that bind.  

This is a special episode of a recording of a recent discussion that occurred within the Chat With Traders Community on a Zoom call. The discussion centers around Henrik Johansson, a beginner fellow trader, who embarked on a journey to obtain funding from a proprietary trading firm within a 60-day timeframe. Patrick Petersson leads the conversation with Henrik. If you recall, Patrick was a guest on episode 260. Patrick and Henrik traded together during this period with the goal of helping Henrik to achieve the goal of getting funded. They provide an overview of these 60 days for the CWT Community and offer valuable insights.  We learn about their process of selecting a suitable prop trading firm that catered to Henrik's requirements, strategies that helped him to overcome psychological barriers, factors behind Henrik's decision to modify his trading style, and the tools and indicators he incorporated in his trading practices, and about the three most significant lessons Henrik gained while trading alongside Patrick. This episode is especially enlightening for traders interested in the route of getting funded. Learn more about your ad choices. Visit megaphone.fm/adchoices

Emmy Petersson is a certified coach who has worked with people in transitions that involve career changes and/or changes in their country of residence since 2013.In today's episode of Smashing the Plateau, you will learn how to unlock what's next in your career to find flow, fulfillment and connect with your values in your work.Emmy and I discuss:What led Emmy to start her business [01:47]Developing your niche [05:37]How to restart your career when you feel stuck [07:17]How to make a major transition and increase your income [15:51]Community experiences [20:47]Learn more about Emmy at https://www.linkedin.com/in/emmy-petersson-career-coach/, and https://www.thebridgecoaching.com.au/.Thank you to Our Sponsor:The Smashing the Plateau Community

Growing up in a family and culture strongly critical of trading as a profession, Patrick Petersson opened his first trading account on his 18th birthday and risked his reputation and family money to follow a deep growing passion he had for years. After blowing up many accounts, he found himself homeless and rejected by all in his family despite fully paying them back. Passion, determination, and persuasion gave Patrick another chance as he started managing money for wealthy clients. Join us in this unusual and fascinating journey as we learn about his trading and intuitive Jedi skills to make lightning-fast discretionary executions. Learn more about your ad choices. Visit megaphone.fm/adchoices

On this episode, we speak with not 1, but 3 guests, all solutions architects with MongoDB. Solutions architects help our customers use MongoDB in the best way and our topics today run through the Principles of Data Modelling, our newly announced Relational Migrator Tool, and Client Side Field Level Encryption (CSFLE). Our first guest is James Milles. James talks to us about the Principles of data modelling, the considerations to take into account in defining your data model and he outlines how a data model can evolve over time and the reasons for why and how your data model may change and evolve. After James, we have Anand Sanghani. Anand talks to us about the newly announced MongoDB Relational Migrator (which Mark Porter, MongoDB's CTO, also talked about in Episode 145) and how it makes it easier for people to work with data, particularly legacy relation technologies and also the challenges they face moving off a relational stack. Finally we have, Pierre Petersson who joins me to talk about Encryption, in particular, MongoDB's Client Side Field Level Encryption in multi cloud environments. Pierre discusses how MongoDB's approach helps manage encryption keys in a cloud agnostic way & we briefly dive into queryable encryption which was also announced at MongoDB .Local London.