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Mickey Trescott explains that autoimmune diseases occur when the body's immune system attacks its own organs, a condition affecting a high percentage of women. The protocol is a diet and lifestyle experiment designed to help individuals identify personal triggers and manage their chronic health symptoms. (9)1849 BRUSSELS

Full Hour 1 in The Sports Bar. Super Agent Leigh Steinberg joins the show to discuss the NY Knicks in the NBA Finals, NBA expansion, the Myles Garret trade & MLB salary cap. Gene is hyped for the Knicks. Bills camp wraps up. The DanDalorian shares his hot take.

Woolcock Institute head of respiratory, cellular and molecular biology group Professor Brian Oliver told 3AW Breakfast hosts Ross and Russel not knowing what’s in an illegally imported cigarette is dangerous for consumers.See omnystudio.com/listener for privacy information.

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

In the second hour, Leila Rahimi and Mark Grote discussed how the Bears aren't shying away from challenging quarterback Caleb Williams to complete 70% of his passes in 2026. After that, they listened and reacted to Bears defensive tackle Grady Jarrett's comments about his underwhelming 2025 season and how he needs to step up in 2026. Later, they held the Halftime segment.

Leila Rahimi and Mark Grote discussed how the Bears aren't shying away from challenging quarterback Caleb Williams to complete 70% of his passes in 2026.

Leila Rahimi and Mark Grote were joined by Score reporter Chris Emma to share a Bears report from Halas Hall as organized team activities continue.

Leila Rahimi and Mark Grote discussed how the Bears are focused on helping quarterback Caleb Williams improve his completion percentage.

What's the best part of living in South Dakota? What is next for Gym Radar? Can Massenomics be our full time jobs? What percentage of lifters have home gyms? We answer listener submitted questions this week! EliteFTS Use code MASS10 to save 10% on most orders! BearFoot Shoes Use code MASSENOMICS to save 10% on every order! Juggernaut AI Use code MASSENOMICS to save 10%! The Strength Co Get some Go-To Plates!

#294This episode is our monthly review of what's going on in the world of UK Property auctions, featuring Jay Howard from Hammered AuctionsThe three main topics tackled are:EIG's latest figures which reveal that auction activity rose 9.5% year-on-year but the percentage of lots sold in April 2025 has decreased slightly compared to the April 2025.Seasonal trends and how they're changingAuctions in the North-WestOur WhatsApp  groupProperty Engine discounts (Code: EXPAT)Starter: 30 day trialPro: 30 day trial/3 mths 1/2 price, Ultimate: 1/2 price 3 monthsGoalsettingLeave a review37 Question Due Diligence Checklist / Auction GuideOur Sponsors: Finnigan McNeill Property GroupWe also discuss:UK Property Auctions Activity Up 9.5% Year on YearResidential Lots Sold in UK Property Auctions Rise 8.1%UK Auction Sales Hit £5.9 Billion in 2025Decrease in UK Property Lots Sold Percentage in AprilRegional UK Property Auction Trends for 2026COVID Impact on UK Property Auction GrowthAccessibility of UK Property Auctions Post-PandemicMore UK Properties Offered at Auction in 2026UK Auction Market Volume Outpaces Last YearChallenges Facing UK Auction Properties with Tenanted FlatsUK Commercial Property at Auction Facing HesitancyMay vs April: Best Months for UK Property AuctionsSeasonal Trends in UK Property Auction MarketHoliday Periods Impact UK Auction Buying BehaviourTechnology and Automation Shaping UK Property AuctionsUK Property Market Shifting Towards Data-Driven SalesComparing UK Auction and Private Treaty Property MarketsNorthwest UK Property Auction Listings Surge in AprilKey Auctioneers in Northwest UK Property MarketLiverpool Treated as Distinct UK Property Auction MarketKeywordsUK property, UK property auctions, UK residential property market, UK commercial property, UK auction market trends, UK property investment, Property auctions in the UK, UK real estate market report, Buying property at auction UK, UK auction activity statistics, UK auction house companies, Property investment UK, UK auctioneers, UK housing market 2026, How to buy property at auction in the UK, Best months to buy property at UK auctions, UK auction market growth since COVID, Selling property at UK auction, Differences between UK property auction houses, Regional auction trends UK (e.g., Northwest, London, Northern Ireland), Increasing number of lots in UK property auctions 2026, Percentage of properties sold at auction UK statistics, UK rental investment opportunities in auction properties, Accessibility of online UK property auctions, Effects of seasonal trends on UK property auctions, Challenges of investing in tenanted properties at auction UK, Property trading strategies UK auctions, Most active property auction regions in the UK, Top auctioneers in Northwest UK property marketCheck out our new YouTube Channel @ExpatPropertyStory

The economy and markets can feel dizzying and ever changing. That's where we can help. Fisher Investments' “This Week in Review” is a weekly segment designed to highlight a few things you may have missed this week, what they could mean for financial markets and why they matter to investors like you. This week, Fisher Investments reviews: • The latest in UK politics • What a new Fed chair means for markets • Recent and expected IPO activity Below are the sources for all data cited in today's show: • Source: GOV.UK, as of 5/22/2026. Past Prime Ministers. • Source: BBC, as of 5/21/2026. “Election Results at a Glance”, 5/9/2026. • Source: FactSet, as of 5/22/2026. S&P 500 average and median price returns in the 6 and 12 months from market close before the new Fed head's start date, 9/16/1930 – 2/5/2019. • Source: University of Florida, as of 5/22/2026. Percentage returns on IPOs from 1980-2024 during the first five years after issuing, January 1980 – December 2024. Want to dig deeper? • What recent UK political developments mean for markets: https://www.fisherinvestments.com/en-us/insights/market-commentary/the-uks-political-ructions-hide-a-better-than-feared-economy • Ken Fisher on when to buy an IPO: https://www.youtube.com/watch?v=7O2avUWHAeI&t=1s • Why Fed chairs don't impact the markets as much as you might think: https://www.fisherinvestments.com/en-us/insights/market-commentary/setting-the-record-straight-new-fed-chairs-arent-autonegative Have feedback for this Fisher Investments video? Share your thoughts on this episode in just 1 minute by filling out this survey: https://fi.co1.qualtrics.com/jfe/form/SV_6Vw1ezlogR044S2?VideoCode=WeekInReview22May2026 Connect with Fisher Investments on: • Facebook - https://www.facebook.com/FisherInvestments • X - https://twitter.com/fisherinvest • LinkedIn - https://www.linkedin.com/company/fisher-investments • Instagram - https://www.instagram.com/fisher.investments/ • TikTok - https://www.tiktok.com/@fisher_investments You can also follow Ken Fisher here: • Facebook - https://www.facebook.com/KenFisher.FisherInvestments • X - https://twitter.com/KennethLFisher • LinkedIn - https://www.linkedin.com/in/ken-fisher/ • Instagram - https://www.instagram.com/kenfisher_fisherinvestments/ Investing in securities involves a risk of loss. Past performance is never a guarantee of future returns. Investing in foreign stock markets involves additional risks, such as the risk of currency fluctuations. The foregoing constitutes the general views of Fisher Investments and should not be regarded as personalized investment advice. Nothing herein is intended to be a recommendation. The opinions expressed are subject to change without notice.

Today on the Woody and Wilcox Show: Netflix releases viewership numbers; Google announces major update to their search box; TSA updates it carry on rules for marijuana; Percentage of workers who feel extremely underpaid; Ball maxing may be more dangerous than you think; Woody Game Wednesday; Woody had Tony Stewart checks; McDonald's worker puts French fries in her mouth and serves them to a customer; Mandalorian and Grogu reviews; Dad bods are no longer in style; And more!

Welcome to "Ahead in the Count," presented by BIP Wealth. Our Baseball Division combines their collegiate and professional baseball playing experience with financial acumen to provide expertise in life on and off the field. We aim to give ballplayers and their families a better understanding about their unique lifestyle, the opportunities that come from playing this game, and insight into the complex financial world. This is "Ahead in the Count," hosted by Nolan Alexander, from BIP Wealth. What if someone offered you millions of dollars today in exchange for a cut of everything you earn for the rest of your career? For a growing number of professional baseball players, this isn't a hypothetical. It's a real pitch on the table. In this episode of Ahead in the Count, host Nolan Alexander sits down with BIP Wealth's baseball advisors Kyle Schmidt and John Hester — both former professional players — to break down one of the most talked-about (and misunderstood) financial trends in professional baseball: athlete revenue sharing deals, also known as future earnings investment contracts. From the minor leagues to the majors, companies are approaching ballplayers at every career stage with upfront cash in exchange for a percentage of their future professional earnings. It sounds simple, but the details — and the decision — are anything but. What You'll Learn in This Episode How athlete income-sharing deals work Third-party investment firms evaluate a player's career trajectory and offer a lump-sum payment upfront. In return, the player agrees to pay back a percentage of their future professional earnings — sometimes for the life of their contract. Who these deals are right for (and who they're not) There's no one-size-fits-all answer. Kyle and John break down how factors like career stage, signing bonus, position (pitcher vs. position player), risk tolerance, family situation, and financial discipline all influence whether a deal makes sense. The Fernando Tatis, Jr. example At 18 years old, Tatis reportedly signed over 10% of his future earnings for $2 million. With his massive subsequent contract, that decision became one of the most high-profile, and legally contested, cases in athlete income-sharing history. Kyle and John discuss what this lawsuit signals for the industry. What happens to the upfront money The advisors walk through the financial mechanics: tax implications in year one, investment strategies, long-term growth projections, and how to build that money into a lasting nest egg, because taking the deal wisely is a completely different outcome than taking it without a plan. The devil is in the details Not all deals are structured the same way. Some firms cap the total amount owed back; others don't. Some offer training resources, analytics support, and coaching tools in addition to the investment. Knowing what each firm brings to the table is critical before signing. The psychological side of the decision Does accepting outside investment create a sense of obligation or ownership? Does it relieve pressure — or add it? Kyle and John discuss how a player's motivational style (driven by hunger vs. driven by security) should shape the decision. CONTACT For more information: jhester@bipwealth.com, kschmidt@bipwealth.com, cmurray@bipwealth.com, jhermida@bipwealth.com Visit: BIPWealth.com

An MLB system hitting at 60% since 2016 and 68% this season.Winible: https://www.winible.com/seanbetssystems                                                    Juice Reel: https://links.juicereel.com/profile/SeanBetsSystems Instagram: https://www.instagram.com/seanbetssystems/                                        X: https://x.com/seanbetssystems

An MLB system hitting at 60% since 2016 and 68% this season.Winible: https://www.winible.com/seanbetssystems                                                    Juice Reel: https://links.juicereel.com/profile/SeanBetsSystems Instagram: https://www.instagram.com/seanbetssystems/                                        X: https://x.com/seanbetssystems

CBS MoneyWatch reporter Maya Blackstone joins Chris & Amy. Why are older Americans looking for work or working, (1 in 5) aged 65 and older. She says the fastest growing percentage of the workforce is age 70 and older. For comparison, in the 80s, we saw the lowest number of workers aged 65 and older says Blackstone. (Photo by J.D. Pooley/Getty Images)

I wanted to revisit something that comes up again and again with EV drivers and people thinking about going electric. Battery degradation.In this episode, I break down what's really going on, using a simple comparison we all understand: our phones. From how we charge to when we charge, I explore what actually impacts battery health and what really matters when it comes to keeping your EV running well long term.What You'll Discover- Why EV Batteries Aren't Like Your Phone: Despite common fears, EV batteries degrade far slower and often outlast the car itself.- The 80 Percent Rule Explained: For NMC batteries, limiting daily charging to around 80 percent can help preserve long-term battery health.- How Charging Habits Really Matter: Heat, rapid charging, and frequent full cycles all play a role, but most drivers won't see major issues in everyday use.What really stands out to me is how much of the concern around EV batteries is driven by misunderstanding. We've all experienced phone batteries degrading quickly, so it's easy to assume the same thing will happen with a car. But the reality is very different. EVs have far more advanced battery management systems, and the data shows degradation is much lower than people expect.There's also a useful mindset shift here. It's not about obsessing over perfect charging behaviour. It's about understanding the basics and then getting on with your life. Whether that's charging overnight, using rapid chargers when needed, or simply knowing your battery type and adjusting slightly.If you've been worried about battery life or know someone who is still on the fence about EVs because of it, this episode is worth sharing. It cuts through the noise and gives you a clear, practical way to think about it.The EV Musings Podcast is sponsored by Zapmap, the go-to app for EV drivers, helping you find and pay for public charging with confidence.Episode produced by Arran Sheppard at Urban Podcasts: https://www.urbanpodcasts.co.uk(C) 2019-2026 Gary ComerfordSupport me: Patreon Link: http://www.patreon.com/evmusingsKo-fi Link: http://www.ko-fi.com/evmusingsThe Books:'So, you've gone electric?' on Amazon : https://www.amazon.co.uk/dp/B07Q5JVF1X'So, you've gone renewable?' on Amazon : https://amzn.to/3LXvIckSocial Media:EVMusings: Twitter https://twitter.com/MusingsEvInstagram: @EVmusingsOctopus Energy referral code (Click this link to get started) https://share.octopus.energy/neat-star-460Upgrade to smarter EV driving with a free week's trial of Zapmap Premium, find out more here https://evmusings.com/zapmap-premiumMentioned in this episode:ZapmapThe EV Musings Podcast is sponsored by Zapmap, the go-to app for EV drivers, helping you find and pay for public charging with confidence. Zapmap is free to download and use, with subscription plans for enhanced features such as using Zapmap in-car on CarPlay or Android Auto, and discounted charging across thousands of charge points. Download the app from the Apple App Store or Google Play Store or find out more at www.zapmap.com.Zapmap EV Guide

Mara Ripani joins Philip Clark to discuss sourdough baking, and her new book, The Baker's Percentage - sourdough baking made easy.

Many agencies chase growth at any cost, but rapid expansion without structure can create churn and poor service outcomes. On The Property Management Excellence (PMX) Podcast, Managed co-founder Alex Whitlock speaks with Active Agents principal Tara Bradbury about building a 400-plus property rent roll in Hervey Bay through sustainable growth, strong systems and client focus. Bradbury explains how technology helped her launch the business in 2019, removing traditional trust accounting pressures and allowing her to focus on service and growth. The conversation also explores rising expectations from both landlords and tenants, with property managers now balancing compliance, communication, and increasingly complex client demands. A key highlight is Bradbury's flat-fee pricing model, which moves away from percentage-based fees in favour of transparency, fairness, and long-term profitability. For agencies looking to scale, the episode is a reminder that success is not just about size, but structure, value, and consistency.

Tamil Nadu Elections - End of Stalin Rule? | Role of High Poll Percentage | Sanjay Dixit

Tamil Nadu Elections - End of Stalin Rule? | Role of High Poll Percentage | Sanjay Dixit

* வாக்களிக்காத செந்தில் பாலாஜி... ஏன்?* சென்னை, திருவள்ளுர் உள்ளிட்ட மாவட்டங்களைச் சேர்ந்த வேட்பாளர்களைச் சந்தித்த ஸ்டாலின்?* சினோரா அசோக் Vs சேகர் பாபு... நடந்தது என்ன?* கொங்கு மண்டலத்தில் அதிகம்... தென் மண்டலத்தில் குறைவு... வாக்கு சதவிகித விவரம்!* சென்னையில் சதவிகிதம் அதிகம்... வாக்குகள் குறைவு?* வருச நாட்டில் ஐந்தில் 4 வாக்குகள் பதிவு?* வாக்குச்சாவடியில் கவனம் ஈர்த்த பிடிஆர், திண்டுக்கல் சீனிவாசன்!* விஜய்யா... எஸ்.ஐ.ஆரா... வாக்கு சதவிகிதம் அதிகரித்த பின்னணி?* வருமான வரித்துறை சோதனை நடத்தினர்! - சிசிடிவி காட்சிகளை வெளியிட்டு செல்வப்பெருந்தகை பேட்டி* சாத்தான்குளம் வழக்கு: 9 பேரின் மரண தண்டனையை உறுதி செய்ய சி.பி.ஐ. தரப்பில் முறையீடு!* மேற்குவங்கத்தில் இரவு 1 மணிக்குக் கூட பெண்கள் வெளியில் செல்லலாம்! - அமித் ஷா* Priyanka Mohan: "தென் கொரியா அதிபர் என் படத்தை பார்த்து..." - ராஷ்டிரபதி பவனில் பிரியங்கா மோகன்* இந்தியா - நியூஸிலாந்து இடையே தடையில்லா வர்த்தக ஒப்பந்தம்!* ஹோர்மூஸில் தீராத பிரச்னை... என்ன நடக்கிறது?

Ben Criddle talks BYU sports every weekday from 2 to 6 pm.Today's Host: Ben Criddle (@criddlebenjamin) and Co-Host: (ronthe3manweav)Subscribe to the Cougar Sports with Ben Criddle podcast:Apple Podcasts: https://itunes.apple.com/us/podcast/cougar-sports-with-ben-criddle/id99676

Success asks for more than you think. In this episode, Kevin and Alan challenge a hard truth about growth. Wanting more does not mean you are doing what it takes to create more. They break down focus, discipline, and the difference between feeling committed and actually being committed. Real progress is not just about desire. It is built through honest self-assessment, stronger standards, and the ability to follow through when it would be easier not to.If you want better results in personal development, productivity, and long-term success, this episode will sharpen the way you evaluate your habits, your discipline, and your consistency. Press play before your excuses get a promotion._______________________Book Alan's Business Breakthrough Session. Your first 30-minute coaching call is FREE. Learn how to prioritize success and let your quality of life become the byproduct. - https://calendly.com/alanlazaros/30-minute-breakthrough-sessionJoin our private Facebook community, “Next Level Nation,” to grow alongside people who are committed to improvement. - https://www.facebook.com/groups/459320958216700_______________________NLU is not just a podcast; it's a gateway to a wealth of resources designed to help you achieve your goals and dreams. From our Next Level Dreamliner to our Group Coaching, we offer a variety of tools and communities to support your personal development journey.For more information, check out our website and socials using the links below.

Makhlouf: How Caleb Williams can improve his completion percentage & Sam Panayotovich joins the show (Hour 2) full 2498 Fri, 03 Apr 2026 01:17:54 +0000 mRmGxZG8CRN0K1gSfoRDusQKk6qrxtK0 sports Best of 104.3 The Score sports Makhlouf: How Caleb Williams can improve his completion percentage & Sam Panayotovich joins the show (Hour 2) Best of 104.3 The Score Best of 104.3 The Score is a curated snapshot of the station at its best, delivering the standout moments Chicago sports fans don't want to miss. Featuring top interviews, expert commentary, and memorable segments from across the lineup, the podcast covers everything from Bears Sundays and Cubs summers to Bulls, Blackhawks, and White Sox headlines. Whether you're catching up or reliving the biggest conversations of the day, Best of 104.3 The Score brings the voices, stories, and debates that power Chicago sports talk into one easy listen. © 2026 Audacy, Inc. Sports False

Marshall Harris and Mark Grote opened their show by listening and reacting to Bears head coach Ben Johnson's comments about quarterback Caleb Williams' completion percentage and their quest to improve it. After that, they listened to Cubs second baseman Nico Hoerner's comments about what it was like to play behind right-hander Edward Cabrera in his terrific outing in his team debut Monday. Later, they listened and reacted to Cubs pitching coach Tommy Hottovy express optimism about left-hander Shota Imanaga's form.

Marshall Harris and Mark Grote listened and reacted to Bears head coach Ben Johnson's comments about quarterback Caleb Williams' completion percentage and their quest to improve it.

Ben Criddle talks BYU sports every weekday from 2 to 6 pm.Today's Host: Ben Criddle (@criddlebenjamin) and Co-Host: (ronthe3manweav)Subscribe to the Cougar Sports with Ben Criddle podcast:Apple Podcasts: https://itunes.apple.com/us/podcast/cougar-sports-with-ben-criddle/id99676

Air Canada CEO [Michael Rousseau] to step down in 2026 amid recent controversy over French-language skillsThe Board of Directors of Air Canada has announced that President and Chief Executive Officer Michael Rousseau will retire by the end of the third quarter of 2026, following nearly two decades with the airline.Did the official press release mention the crash?Did the official press release mention the CEO's inability to speak French?Will he remain on the board?According to the Board, when did it start the internal succession planning process?According to the Board, when did it start the external succession planning process?Did the press release stick to Canadian/Quebec language laws and use the appropriate accents in Montreal and Quebec? YES: Montréal, Québec.Some TRUE and FALSE questions from the company's latest proxy statement:TRUE of FALSE: Air Canada “regularly test the linguistic skills of its more than 15,000 public facing employees in respect of Canada's official languages”TRUE of FALSE: The proxy states it has “2 official languages.”TRUE of FALSE: In the CEO's opening letter to shareholders he states that “We are immensely proud of … promoting our official languages.”TRUE of FALSE: Language proficiency is an official skill used to describe directorsTRUE of FALSE: Air Canada is the only airline required to offer services in both official languages in CanadaTRUE of FALSE: “Air Canada uses both official languages of Canada in its corporate, customer and employee communications and is committed to promoting both official languages of Canada across the country, and have policies, programs, procedures and tools to help our employees learn and improve their language skills. Six of the seven members of our Executive Committee are bilingual.”Xerox Board of Directors Appoints Louie Pastor as Chief Executive OfficerWill he be chair or just a director?How many CEOs since 2022?How many CFOs since 2025?What is the average board tenure of a Xerox director?How many different executive positions has Louis Pastor held at Xerox since 2018?How many times has Louis Pastor resigned from Xeros since 2018?On March 25, 2026, Starbucks Corporation held its 2026 Annual Meeting of ShareholdersAverage support for directors?Number of directors with 99% support?Lowest support?Percentage against Say on Pay?The Accountability Board submitted a shareholder proposal requesting supermajority shareholder voting requirements be replaced with majority voting requirements. The board gave no recommendation? What percentage of shareholders supported this proposal?How many supported an SHP asking for an Independent Chair?Why was it so low?Finally, there were 4 anti-SG/anti-woke/anti-DEI. What was their average level of support?Democrats Examine Elon Musk's Role in Suspension of Business Disclosure LawThe Corporate Transparency Act requires companies to report information about their ownership to the government, an effort to combat problems such as money laundering and terrorism.In February, a New York Times investigation revealed that Mr. Musk was quietly operating at least 90 private companies in Texas that would have been subject to heightened disclosure; and that he has used limited liability companies that disclose little about their ownership structure to disguise his spending, including to support Mr. Trump in the 2024 election.The Treasury Department suspended the law last March one day after Mr. Musk posted on X, in response to a user frustrated about the law, that he “can look into it.”Who is the group examining Elon Musk led by?What is Chick-fil-A offering families to ditch phones at the table in push to unplugTotal bill forgiveness“Conversation Cards” sponsored by Chick-fil-AA signed photograph of CEO Andrew Cathy, the third generation of the Cathy family to lead the companyEarly access to new menu itemsIce CreamNetflix cofounder Reed Hastings says his first boss out of college would wash his dirty mugs at 4:30 a.m.—so now he returns the favor for his staff too“One morning I came in very early to the office [at] like 4:30 [a.m.], and I went into the bathroom, and there was my CEO. And he's washing coffee cups,” Hastings explained. “And I was like, ‘Barry, are you washing my coffee cups?' And he said, ‘Yes.' And I said, ‘Have you been doing that all year?'” “He said ‘Yes.' And I'm like, ‘Why?'” “And he said, ‘Well, you do so much for us and this is the one thing I can do for you.'”How does Reed return the favor to his staff?Investors Suing to Vote on ESG Proposals Meet Corporate PushbackChubb Ltd. and BJ's Wholesale Club Holdings Inc. are pushing back against shareholder lawsuits seeking to place ESG proposals on annual meeting ballots.Chubb: 23% F (3/13) with 13% total influenceThere are only 3 women on Chubb's board, how many Michaels do they have?CEO (2004-) and Chair (2007-) Evan Greenberg has been at the helm for 22 years. How many years has he served with Lead Independent Director Michael Connors (2011-)?BJ's Wholesale Club30% F with 14% influenceTwo of 10 key executives at BJ's are women. How many of BJ's 6 key board leadership positions are led by women (3 committee chairs, CEO, Chair, Lead Director)?A CEO trying to reindustrialize America says blue-collar pay is headed for ‘massive hyperinflation' and kids should skip college to become weldersThis is from Hadrian Automation, a high-tech manufacturing company that builds "software-defined factories" for the aerospace and defense industries using AI-powered software, unlike a traditional machine shop which relies on the "tribal knowledge" of veteran machinistsWhat is the name of Hadrian's CEO?Duke ThunderRex ChargerChris PowerBlaze CannonJack HammerDid he graduate from college?

On February 28th, the United States and Israel launched airstrikes on multiple sites in Iran, marking the beginning of a wider military conflict with Iran. Tehran responded with attacks on Israel, US military bases, and US allies across the Middle East and closed the Strait of Hormuz. These events have caused a major disruption in the global supply of oil and gas. China, as the world's largest energy importer, is exposed to these disruptions, but its long-term energy security strategy has left it better prepared than most.  How has China approached energy security, and how might the current conflict reshape this strategy? To discuss these issues, we are joined today by Dr. Erica Downs. Erica is a Senior Research Scholar at the Center on Global Energy Policy at Columbia University's School of International and Public Affairs. Her research focuses on Chinese energy markets and geopolitics, and she has published extensively on the subject. Timestamps: [00:00] Introduction  [01:38] China's Energy Security Strategy [03:54] Divergent Approaches to Energy Security in the US and China [06:03] Beijing's Response to Supply Chain Shocks  [09:55] Dependencies on Russian Oil & Gas [12:33] New Lessons for Chinese Policymakers? [15:30] Impact on Teapot Refineries and Responses [18:37] Percentage of Chinese Oil and Gas Impacted [22:26] Could China Buy Gas from the US? [25:15] Potential Wins and Losses for Chinese Industries

Leadership and Cultural Differences with Dawn Stallwood Dawn Stallwood is a Corporate Counsel, Chief Integrity Officer, and the author of Beautiful Leadership, known for her work at the intersection of governance, power, and people. With nearly three decades of experience, she has advised founders, boards, and senior executives across industries and international markets on complex deals, business growth, crisis management, and long-term legacy. Her expertise is particularly relevant in today's global environment, where leadership and cultural differences increasingly shape how organizations succeed or fail. Before founding her current platform, Dawn was a partner at a UK Top 100 law firm and became one of only 770 Notaries Public in the United Kingdom. This background gives her a rare combination of legal precision and strategic insight. Over the years, she has worked with leadership teams navigating not only high-stakes decisions but also the challenges that arise from leadership and cultural differences in multinational settings. Today, Dawn leads Floodlight Business, an integrity-driven platform designed to help leaders build resilient, human-centered organizations. Her work focuses on aligning commercial success with ethical leadership, a balance that is often overlooked in traditional corporate environments. In a world where businesses operate across borders, understanding leadership and cultural differences is no longer optional—it is essential for maintaining trust, cohesion, and performance. At the core of her work is the Beautiful Leadership framework, a proprietary approach that redefines what effective leadership looks like. Rather than focusing solely on results or authority, Dawn emphasizes intention, empathy, and service. This perspective is particularly relevant in organizations dealing with leadership and cultural differences, where misalignment can lead to conflict, inefficiency, and lost opportunities. Her framework equips leaders to navigate these complexities with clarity and integrity. Dawn's approach is also forward-looking. As artificial intelligence continues to reshape industries, she argues that character will become a defining factor in leadership effectiveness. Technical skills and competence remain important, but they are no longer sufficient on their own. Leaders must also demonstrate emotional intelligence and cultural awareness, especially when managing diverse teams. This is where leadership and cultural differences play a critical role, influencing communication, decision-making, and overall organizational culture. Through her advisory work, speaking engagements, and writing, Dawn challenges leaders to rethink their approach. She encourages them to move beyond transactional leadership models and adopt a more human-centered mindset. Her message is clear: organizations that take leadership and cultural differences seriously are better positioned to adapt, innovate, and sustain long-term success. In summary, Dawn Stallwood brings a distinctive voice to modern leadership. By combining deep legal expertise with a strong focus on integrity and human dynamics, she helps leaders navigate complexity in a globalized world. Her work is particularly valuable for organizations seeking to bridge leadership and cultural differences and build cultures that are both high-performing and ethically grounded. Her tip to become more culturally competent is: Make sure you have the right set of hearing aids and contact lenses; it's about tuning in to the other person. To see the things that were meant to be seen and to hear the things that were meant to be heard. Links mentioned in the podcast: https://thebeautifulleader.com/ https://floodlightbusiness.com/ https://companynotary.com/ https://www.linkedin.com/in/impactwithintegrity/ Want to avoid the most common mistakes when working internationally? Read this article. More stories and culture can be found here. Culture Matters The Culture Matters Podcast on International Business & Management Podcast Build your Cultural Competence, listen to interesting stories, learn about the cultural pitfalls and how to avoid them, and get the Global perspective here at the Culture Matters podcast on International Business. We help you understand Cultural Diversity better by interviewing real people with real experiences. Every episode there is an interview with a prominent guest, who will tell his or her story and share international experiences. Helping you develop your cultural competence. Welcome to this culture podcast and management podcast. To Subscribe to this Management Podcast, Click here. The Culture Matters Culture Podcast. Available on iTunes and Stitcher Radio Click here to get the podcast on Spotify Talk to your Amazon Alexa and listen to the Podcast Listen directly on Amazon If you have a minute, please leave me an honest rating and review on iTunes by clicking here. It will help the visibility and the ranking of this culture podcast on iTunes immensely! A BIG THANK YOU! Enjoy this FREE culture podcast! Music: Song title - Bensound.com More Ways of Listening: Get a Taste of How Chris Presents, Watch his TEDx Talk     Name Email Address Phone Number Message 15 + 11 = Send Call Direct: +32476524957   European Office (Paris) Whatsapp: +32476524957   The Americas (USA; Atlanta, GA; también en Español):  +1 678 301 8369 Book Chris Smit as a Speaker If you're looking for an Engaging, Exciting, and Interactive speaker on the subject of Intercultural Management & Awareness you came to the right place. Chris has spoken at hundreds of events and to thousands of people on the subject of Cultural Diversity & Cultural Competence. This is What Others Say About Chris: “Very Interactive and Engaging” “In little time he knew how to get the audience inspired and connected to his story” “His ability to make large groups of participants quickly and adequately aware of the huge impact of cultural differences is excellent” “Chris is a dedicated and inspirational professional” In addition, his presentations can cover specific topics cultural topics, or generally on Cultural differences. Presentations can vary anywhere from 20 minutes to 2 hours and are given worldwide. Book Chris now by simply sending an email. Click here to do so. Read more about what Chris can do for you. Percentage of People Rating a Presentation as Excellent 86% 86% Rating the Presentation as Practical 89% 89% Applicability of Chris' presentation 90% 90% About Peter van der Lende Peter has joined forces with Culture Matters. Because he has years and years of international business development experience joining forces therefore only seemed logical. Being born and raised in the Netherlands, he has lived in more than 9 countries of which most were in Latin America. He currently lives in Atlanta, Georgia (USA) with his family. You can find out more at https://expand360.com/ Or find out what Peter can do for you here.

We asked ChatGPT to pick the 10 most insightful sports betting questions, and in this Q&A, experts Rob Pizzola and Isaac Rose-Berman break them all down. From bankroll management to understanding edge, market selection, and how sharp bettors think, this episode is packed with practical insights to help you make smarter betting decisions. Whether you're new to sports betting or looking to refine your approach, this discussion shows what it really takes to improve your process and think like a pro. Watch, learn, and let us know in the comments which insights surprised you the most. Subscribe for more expert Q&A episodes, strategy breakdowns, and sports betting analysis right here on Circles Off from The Hammer Betting Network.

Twenty years. Nearly one thousand episodes on this show. And starting today, we're going to try something a little different this season. Season 21 is about the decisions that actually determine whether innovation lives or dies inside any organization. The real calls. Not the fluff stuff we read in academic textbooks. I want to actually put you in the rooms where these decisions are happening. What went right. What went wrong. My objective is to expose you to the patterns in innovation decisions so that you can recognize them. Recognize them in yourself, in the people you need to influence, long before you step into any landmines. So let's get into it. The Encounter on the Top Floor of Building 25 Making generational decisions on innovation investment can be a make-or-break moment. What I refer to as a CLM, a Career Limiting Move. In my case, it started with a chance conversation with Mark Hurd, HP's CEO. Let me take you back to 2005. HP headquarters is on Page Mill Road in Palo Alto, referred to internally as Building 25. The top floor is where all of the executive offices are. That's where Mark's office was. I was up there doing some meetings and got snagged by Mark. Now, Mark had a reputation. He was a big numbers guy. He believed in what he called extreme benchmarking. You tore into your competitors' numbers. You knew your own numbers in and out.1 Others had warned me about this. He had a famous quote that everybody shared:  "Stare at the numbers long enough, and they will eventually confess." Mark believed you could not lead a critical role at HP if you did not know your numbers cold, inside and out. Didn't matter whether it was sales, CTO, a function, or a division. It didn't matter. And Mark tested everyone on the leadership team. Not just the leadership team. He would randomly stop employees and ask them for their numbers based on what group they worked in. It was non-stop. It was constant. To where support staff was literally constantly preparing briefing books for managers, VPs, leaders, just in case they got nabbed by Mark. In my case, I happened to be walking past his office. Mark waved me in. I sat down, and he immediately started drilling me on the CTO numbers. The number he focused on was R&D as a percentage of revenue. The Broken Benchmark: R&D as a Percentage of Revenue Now, if you've been a regular listener of this show, you know my opinion of that metric. R&D as a percentage of revenue is a meaningless number.2 It is absolutely meaningless. But every public company CEO at an innovation-dependent company, all the tech companies, AI companies, even automotive, they live by this number. It's a number that Wall Street looks at. You have to report it as part of your quarterlies, and from there it's simple math.3 When Mark grilled me, he was focused specifically on the PC group at HP. HP's number at the time for the PC group was about one and a half percent. R&D as a percentage of the PC group's revenue. Acer, which was a key competitor, was at 0.8%. Less than one percent. Roughly half of HP's number.4 Apple was at four percent.5 Mark's question, and he was really pounding on this, was: How do we get our ratios in line with Acer? Basically, he was saying: how do we cut costs so that our R&D expense as a percentage of revenue equals Acer at 0.8%? This is exactly the problem with choosing the wrong metric. Now I'm going to quote somebody who I think was probably one of the most insightful leaders in the business world. Charlie Munger. If you've ever watched any of his talks, he had a really strong opinion on certain metrics. Specifically EBITDA, earnings before interest, taxes, depreciation and amortization. Charlie referred to EBITDA as BS earnings. It was a metric Wall Street swore by, and Munger said it hid more than it revealed. His exact words: "Every time you see the word EBITDA, just substitute the word 'bullshit' earnings."6 R&D as a percentage of revenue is the same problem in a different disguise. It's the metric that makes every company look like it's investing when all it's doing is spending. Mark was using a broken instrument to make a generational decision. If you make decisions based on R&D as a percentage of revenue, and then you do comparisons like "let's make our numbers look like Acer," what you are actually deciding to do is cut your R&D. That is generational. You will destroy a company's innovation capability over the next ten to twenty years before you can even have a hope of rebuilding it.7 "We Are Not Apple and We Never Will Be" I looked at him and said: Why aren't we raising our R&D spend to match Apple? Mark didn't hesitate. He said: "We are not Apple and we never will be." I took offense at that. I was offended that he wouldn't even contemplate it. And I pushed back. I pushed back hard. I argued we could be Apple in areas where we had genuine advantage. Here's one example. Go back to September 2004, about a year before my meeting with Mark. Carly Fiorina was still CEO. Carly had just handed Steve Jobs access to the retail shelf space HP spent thirty years building.8 At that time, HP controlled about nine, nine and a half percent of all retail shelf space for consumer electronics, the largest single entity holding in that category. Where did all that come from? It traces back to the calculator days in the 1970s. Those relationships, those stocking slots, that footprint: HP had spent three decades building that access. Apple was launching the iPod.9 It had no retail distribution in consumer electronics. None. And rather than HP taking advantage of that for itself, it actually opened the door and allowed Apple to come in. That is how the iPod got its traction. It bought Apple the time to build out its own retail strategy, which is ultimately what allowed Apple to be where it is today. That wasn't an accident of history. That was HP giving away a structural competitive asset. When I tried to push back on Mark, saying we could be better with the right investment, it didn't land. Mark viewed the PC business as a commodity. And if it's a commodity, you manage expenses. You don't invest in capabilities. Monthly Arguments and the Search for Better Metrics There was no decision made that day. But something shifted in me. That was the first of many monthly arguments I had with Mark. And they were non-stop. What it drove me to do was start looking for better metrics. We had something most companies don't have: HP's complete financial history going all the way back to the 1940s. I had access to the numbers, division by division, for one of the founding companies of Silicon Valley.10 We were getting traction. I was actually getting Mark to align. I was getting the HP board to align. And then what happens? Mark gets removed as CEO and Leo comes in. Then Meg kicked Leo out and she took over. Then the split of HP into two companies. Acer today? Still roughly 0.9% of revenue in R&D.11 Twenty years later, almost exactly where Mark wanted HP to get to. What I Would Do Differently: Right Argument, Wrong Language If I'm being honest about what I would do differently, I had the right argument. I had the wrong language. The job wasn't to prove Mark wrong. Nobody changes their mind when they're being told they're wrong. I needed to stop speaking CTO and start speaking CEO. Meet him where he was. Make the case in the language of margin, risk, competitive position, the language he already trusted. But that language didn't exist when it came to R&D and innovation. That's the reason I spent the rest of my career building something better. And that is what this season is about. What Comes Next: The Metrics That Tell the Truth That conversation with Mark sent me looking. If R&D as a percentage of revenue was the wrong metric, and I believe to my core that it was, and is, then what's the right one? We went back through HP's own numbers. We back-cast all the way to the 1940s, looking at the numbers by division, by the overall organization. And then something unexpected happened. The archive team at HP gave me access to something nobody had looked at in decades: Bill Hewlett and Dave Packard's original notebooks. What I found in there pointed me somewhere nobody had thought to look. In the next episode, we're going to talk about the metrics that actually tell the truth when it comes to R&D and innovation.     If this episode gave you some insights, shifted something, share it with somebody who you think needs to hear it. Particularly if you're trying to fight senior leaders around R&D investment. And in the comments below, tell me: what's that one benchmark that you are required to hit, and yet you've never questioned? Is it the right benchmark? Have you really looked at it? I genuinely would like to know. Show notes and this week's Studio Notes are over at philmckinney.com. Subscribe there. That's where the deeper analysis lives. Every Monday that we post, subscribe. You don't want to miss the next one. I'll see you in the next episode.  

SPONSORS: 1) AMENTARA: Go to https://www.amentara.com/go/JULIAN and use code JD22 for 22% off your first order. Big Shoutout & thank you to Shaun Attwood & his Producer Shane for making this one happen! (****TIMESTAMPS in Description Below) ~ Chris Hansen is an Emmy-Award winning journalist who has locked up p*dos on TV for over 2 decades. JOIN PATREON FOR EARLY UNCENSORED EPISODE RELEASES: https://www.patreon.com/JulianDorey CLIPPERS DISCORD: https://discord.gg/8QmWEKJ3BT CHRIS' LINKS: Roblox DOC: https://www.watchtrublu.com/dangerous-games-a-chris-hansen-investigation YT 1: https://www.youtube.com/@UCgKTJAN-IrVyX-jIJ5INEhA YT 2: https://www.youtube.com/@UC1EWFQy8iPvh9Cfdil0F1JA IG: https://www.instagram.com/officialchrishansen/ X: https://x.com/chrishansen FOLLOW JULIAN DOREY IG: https://www.instagram.com/julianddorey/ X: https://x.com/juliandorey JULIAN YT CHANNELS - SUBSCRIBE to Julian Dorey Clips YT: https://www.youtube.com/@juliandoreyclips - SUBSCRIBE to Julian Dorey Daily YT: https://www.youtube.com/@JulianDoreyDaily - SUBSCRIBE to Best of JDP: https://www.youtube.com/@bestofJDP ****TIMESTAMPS**** 0:00 - Chris Hansen gets “Hansen'd,” Adrenaline, “To Catch a Predator” backstory 10:03 - Timing of Visit, 2 Preds at same time, Predators w/ guns 21:10 - Sick Fantasies override common sense, 3 Categories of P*dos, Wiring Brains 31:40 - Julian's perspective, 41 Predators 1 House 35:23 - Epstein Files, Chris tried to STING Epstein 41:20 - Chris hunch on Epstein, Royal Family, Why Epstein unique 51:47 - Epstein's Arrogance, Epstein Stem Cell Harvesting? 56:06 - Epstein “Jerky” Emails, Zorro Ranch, Masters of the Universe Sickness 1:05:43 - Percentage of P*dos who get caught, P*dophilia incurable 1:15:56 - TruBlu, Chris growing up in Detroit, Silence of the Lambs 1:27:33 - Getting away with Crime, Tech to take down predators 1:31:38 - Roblox, Exploitation on Roblox, Discord Corruption, 764 Cult Group, Schlep 1:37:11 - Roblox Uncooperative, Law & Roblox, Roblox to IRL abuse 1:46:43 - Gro*ming on Roblox, Parents responsibility 1:55:57 - Bad Stuff Happens, AG's on Roblox now, Drawing the line 2:03:51 - To Catch a Predator Doc, Josh Giddey, Gross cultural P*dophilia around world 2:12:00 - Sierra Leone Aftermath, Tribalism, Elite Conspiracies, Les Wexner Epstein Deposition 2:22:06 - Preying on deepest fears & dreams, NAMBLA was real, Internet Safety 2:29:30 - Cambodia Rescue Story, Oklahoma City Bombing 2:35:07 - 3 million miles flown, Being ahead of law enforcement, Chris on 9/11 2:42:58 - Roblox Documentary CREDITS: - Host, Editor & Producer: Julian Dorey - COO, Producer & Editor: Alessi Allaman - https://www.youtube.com/@UCyLKzv5fKxGmVQg3cMJJzyQ - In-Studio Producer: Joey Deef - https://www.instagram.com/joeydeef/ Julian Dorey Podcast Episode 397 - Chris Hansen Music by Artlist.io Learn more about your ad choices. Visit podcastchoices.com/adchoices

This week we have another technical issue which curtailed the length of the show. Very sorry for the poor performance. That aside, for the hour you do have, we welcome guest Hope and discuss: • Bereavement anniversaries • The Voice of Hind Rajab movie • The horror of Palestinian life • War going on in the world • Child soldiers • Living trough war • PTSD • Biafra • War in Iran • Having to join the army • Percentage of hospital staff not born in UK • Doctor pay • Men and women financial responsibilities unequal • #StavrosSays : The Voice of Hind Rajab [https://uk.thevoiceofhindrajabfilm.com/] Connect with us at & send your questions & comments to: #ESNpod so we can find your comments www.esnpodcast.com www.facebook.com/ESNpodcasts www.twitter.com/ESNpodcast www.instagram.com/ESNpodcast @esnpodcast on all other social media esnpodcast@gmail.com It's important to subscribe, rate and review us on your apple products. You can do that here... www.bit.ly/esnitunes

Show #2622 Show Notes: Annual huddle: https://thelibertyactionnetwork.com/event/pass-the-salt-annual-gathering/ ‘Effectual’: https://webstersdictionary1828.com/Dictionary/effectual James 5:16 https://www.biblegateway.com/passage/?search=james%205%3A16&version=KJV ‘Ineffectual’: https://webstersdictionary1828.com/Dictionary/ineffectual Asbury Revival 3 years later: https://www.youtube.com/watch?v=3Mn0_lyc5tw Man in America – The Dark Night of the Soul: https://www.facebook.com/reel/26602535266010171 Percentage of people that […]

In this episode of The Missing Secret Podcast, John and Kelly talk about what percentage of adults in the United States live the exceptional life. As defined by earning over $100,000 a year, having a great romantic relationship and also being on top of their health. The answer is about 2%. In the podcast, John poses the question to chat GPT. Which confirms this. It's amazing that in the richest country in the world, only 2% of people are living the exceptional life. So why is that? It's because most people are just winging life. They don't have an actual way of doing life. Accordingly, they get the average life. The alternative to just winging life is the 12 minute day technique of think it be it.Buy John's book, THE MISSING SECRET of the Legendary Book Think and Grow Rich : And a 12-minute-a-day technique to apply it here.About the Hosts:John MitchellJohn's story is pretty amazing. After spending 20 years as an entrepreneur, John was 50 years old but wasn't as successful as he thought he should be. To rectify that, he decided to find the “top book in the world” on SUCCESS and apply that book literally Word for Word to his life. That Book is Think & Grow Rich. The book says there's a SECRET for success, but the author only gives you half the secret. John figured out the full secret and a 12 minute a day technique to apply it.When John applied his 12 minute a day technique to his life, he saw his yearly income go to over $5 million a year, after 20 years of $200k - 300k per year. The 25 times increase happened because John LEVERAGED himself by applying science to his life.His daily technique works because it focuses you ONLY on what moves the needle, triples your discipline, and consistently generates new business ideas every week. This happens because of 3 key aspects of the leveraging process.John's technique was profiled on the cover of Time Magazine. He teaches it at the University of Texas' McCombs School of Business, which is one the TOP 5 business schools in the country. He is also the “mental coach” for the head athletic coaches at the University of Texas as well.Reach out to John at john@thinkitbeit.comLinkedIn: https://www.linkedin.com/in/john-mitchell-76483654/Kelly HatfieldKelly Hatfield is an entrepreneur at heart. She believes wholeheartedly in the power of the ripple effect and has built several successful companies aimed at helping others make a greater impact in their businesses and lives.She has been in the recruiting, HR, and leadership development space for over 25 years and loves serving others. Kelly, along with her amazing business partners and teams, has built four successful businesses aimed at matching exceptional talent with top organizations and developing their leadership. Her work coaching and consulting with companies to develop their leadership teams, design recruiting and retention strategies, AND her work as host of Absolute Advantage podcast (where she talks with successful entrepreneurs, executives, and thought leaders across a variety of industries), give her a unique perspective covering the hiring experience and leadership from all angles.As a Partner in her most recent venture, Think It Be It, Kelly has made the natural transition into the success and human achievement field, helping entrepreneurs break through to the next level in their businesses. Further expanding the impact she's making in this world. Truly living into the power of the ripple effect.Reach out to Kelly at kelly@thinkitbeit.comLinkedIn: https://www.linkedin.com/in/kelly-hatfield-2a2610a/Learn more about Think It Be It at https://thinkitbeit.com/LinkedIn: https://www.linkedin.com/company/think-it-be-it-llcFacebook: https://www.facebook.com/thinkitbeitcompanyThanks for listening!Thanks so much for listening to our podcast! If you enjoyed this episode and think that others could benefit from listening, please share it using the social media buttons on this page.Do you have some feedback or questions about this episode? Leave a comment in the section below!Subscribe to the podcastIf you would like to get automatic updates of new podcast episodes, you can subscribe to the podcast on Apple Podcasts or Stitcher. You can also subscribe in your favorite podcast app.Leave us an Apple Podcasts reviewRatings and reviews from our listeners are extremely valuable to us and greatly appreciated. They help our podcast rank higher on Apple Podcasts, which exposes our show to more awesome listeners like you. If you have a minute, please leave an honest review on Apple Podcasts.

Today Jason welcomes Lyn Alden. Lyn provides tens of thousands of investors per month with research, information, and tools to help them build wealth and reach financial freedom. Some of her content is aimed at new investors, while the most of her topical articles are aimed at more experienced investors. Her research services cater to institutional investors and sophisticated retail investors. Visit LynAlden.com to view some of her core articles, in various sections: Building Wealth (Beginner) Investing Basics (Beginner) Investing Strategy (Intermediate) Global Macro Topics (Experienced)   Key Takeaways: 0:56 Welcome Lyn Alden 1:44 A shift towards structural inflation 4:41 Charts: A Century of US Debt as a % of GDP and A Century of US Monetary and Fiscal Policy 9:00 War spending or real spending building the country and people 11:58 Investing during the covid era 14:24 Actions steps for investors to thrive in this environment 19:12 The issue with buy backs 21:29 Money safety in the banks and creating entities for asset protection 24:55 The linear and cyclical housing markets 25:49 Chart: Number of mortgages by interest rate 27:55 A soft economy and sensitive sectors like tech 29:05 Overfunded companies and the burden of reality and the classic bad investment cycle 32:15 Shadow inflation, undercharging and the realignment of the markets 35:53 Prepare for another round of inflation   Follow Jason on TWITTER, INSTAGRAM & LINKEDIN Twitter.com/JasonHartmanROI Instagram.com/jasonhartman1/ Linkedin.com/in/jasonhartmaninvestor/ Call our Investment Counselors at: 1-800-HARTMAN (US) or visit: https://www.jasonhartman.com/ Free Class:  Easily get up to $250,000 in funding for real estate, business or anything else: http://JasonHartman.com/Fund CYA Protect Your Assets, Save Taxes & Estate Planning: http://JasonHartman.com/Protect Get wholesale real estate deals for investment or build a great business – Free Course: https://www.jasonhartman.com/deals Special Offer from Ron LeGrand: https://JasonHartman.com/Ron Free Mini-Book on Pandemic Investing: https://www.PandemicInvesting.com   Join our FREE MASTERCLASS every second Wednesday of the month. JasonHartman.com/Wednesday  

The guys debated what will matter more for Illinois basketball in the postseason: knocking down three-pointers or limiting costly turnovers. The conversation looked at how each factor could impact the Illini's chances of making a deep tournament run. Also, how did this debate lead to our first On-Air Injury?! Evan and Coop also learned about the legendary “snipe hunt,” leading to some BIG laughs  from listeners.  The hour wrapped up with another edition of Etched in Stone.

Send us an inquiry through a text message here!This episode is sponsored by Tartar Shield!Welcome to a special episode of The Veterinary Roundtable! In this episode we're joined by Dr. Mary Berg, who has 30 years of experience in veterinary dental research and clinical practice and is the President of Beyond the Crown Veterinary Education as we take a deep dive into modern veterinary dentistry, exploring the true value of COHAT (Comprehensive Oral Health Assessment and Treatment), improving dental compliance, and creating stronger client relationships through better communication and workflow.Do you have a question, story, or inquiry for The Veterinary Roundtable? Send us a text from the link above, ask us on any social media platform, or email theveterinaryroundtable@gmail.com!Episodes of The Veterinary Roundtable are on all podcast services along with video form on YouTube!Timestamps 00:00 Intro03:00 What Is Beyond the Crown?05:40 Importance of COHAT07:12 Establishing Value for the Client10:37 Financial Upside of Optimizing Dental Health13:31 Percentage of Pets with Diseases15:23 Effect of Core Procedures on Client Relationships18:12 Improving Compliance19:03 Repeatable Workflow for Core Procedures24:04 Low-Cost Clinics Doing Dentals28:38 Using CT to Look at Dental Images30:38 Creating Buy-In for Core Procedures32:30 Pricing in Vet Med43:12 Recommendations for Clients50:25 Tartar Shield's New Toothpaste53:51 Discharge Instructions for Patients56:03 Dogs Getting Braces59:29 Learning More About Beyond the Crown1:04:20 Outro 

The dreaded 3 putt. You know the odds of it increases the further you get from the hole. How often, from 35 feet, will a Tour pro, a scratch golfer, and a 20 index take three putts to finish the hole? Lou poses this question to Mark and Greg, and two of their answers are off by shocking margins. This might help manage expectations, but it's also a wake-up call: here's an element of the game that investing a little practice could bring big benefits. Each of these will be a mini-episode (10-15 minutes long) about an interesting golf stat. We will discuss what you can learn, and most importantly, how you can apply this on the golf course to lower your scores and lower your handicap. Listen on your drive to the golf course or over your Saturday morning coffee! Data is sourced from Arccos Golf. They have over 1 BILLION shots in their database.  Check them out at: https://www.arccosgolf.com/  Use code DATALOU15 for 15% off! Where to find us: Mark Crossfield's weekly newsletter: https://www.crossfieldgolf.com/subscribe Mark Crossfield on Twitter: https://twitter.com/4golfonline Mark Crossfield on YouTube: https://www.youtube.com/user/4golfonline Lou Stagner's weekly newsletter: https://newsletter.loustagnergolf.com/subscribe Lou Stagner on Twitter: https://twitter.com/LouStagner Greg Chalmers on Twitter: https://twitter.com/GregChalmersPGA Learn more about your ad choices. Visit megaphone.fm/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The dreaded 3 putt. You know the odds of it increases the further you get from the hole. How often, from 35 feet, will a Tour pro, a scratch golfer, and a 20 index take three putts to finish the hole? Lou poses this question to Mark and Greg, and two of their answers are off by shocking margins. This might help manage expectations, but it's also a wake-up call: here's an element of the game that investing a little practice could bring big benefits. Each of these will be a mini-episode (10-15 minutes long) about an interesting golf stat. We will discuss what you can learn, and most importantly, how you can apply this on the golf course to lower your scores and lower your handicap. Listen on your drive to the golf course or over your Saturday morning coffee! Data is sourced from Arccos Golf. They have over 1 BILLION shots in their database.  Check them out at: https://www.arccosgolf.com/  Use code DATALOU15 for 15% off! Where to find us: Mark Crossfield's weekly newsletter: https://www.crossfieldgolf.com/subscribe Mark Crossfield on Twitter: https://twitter.com/4golfonline Mark Crossfield on YouTube: https://www.youtube.com/user/4golfonline Lou Stagner's weekly newsletter: https://newsletter.loustagnergolf.com/subscribe Lou Stagner on Twitter: https://twitter.com/LouStagner Greg Chalmers on Twitter: https://twitter.com/GregChalmersPGA Learn more about your ad choices. Visit megaphone.fm/adchoices

Take the next step in your veterinary dentistry journey — get a FREE online course with 1 hour of RACE-approved CE when you subscribe to our newsletter: https://ivdi.org/free ---------------------------------------------------------- Host: Dr. Brett Beckman, DVM, FAVD, DAVDC, DAAPM ---------------------------------------------------------- In this episode of The Vet Dental Show, Dr. Brett Beckman answers advanced, case-based questions from recent online veterinary dentistry trainings, focusing on real-world decision-making in general practice. The discussion covers extraction technique modifications, bur selection for challenging teeth, and evidence-based use of hyaluronic acid and bone grafts in periodontal and surgical cases. Dr. Beckman explains why he has shifted away from routine vestibular bone removal for certain extractions—particularly the mandibular third and fourth premolars—and instead emphasizes controlled sectioning, gentle elevation, and patience to reduce root fracture risk. He shares practical tips on finger pressure, visualization with loupes, and how this technique improves efficiency and outcomes in both clinical cases and wet labs. The episode also explores the biological role of hyaluronic acid in extraction sites and periodontal defects. Dr. Beckman and colleagues clarify the differences between PerioVive and OralVive, explain why retention is not the primary goal of hyaluronic acid therapy, and discuss its benefits for clot stabilization, pain modulation, angiogenesis, and soft tissue healing. The conversation addresses when hyaluronic acid should be used in extraction sites, how it integrates with blood clots and bone grafts, and why products like ClinDoral no longer have a role in these scenarios. Finally, Dr. Beckman dives into one of the most challenging topics in veterinary dentistry: deciding when to save a tooth versus extract it. He breaks down why percentage-based bone loss alone is not a reliable extraction rule, and instead emphasizes case selection based on tooth function, patient age, defect type, and—most importantly—owner commitment to long-term follow-up and home care. This episode delivers thoughtful, experience-driven guidance to help veterinarians make confident, ethical, and practical dental decisions. ---------------------------------------------------------- What You'll Learn: ✅ When vestibular bone removal may increase root fracture risk ✅ How to approach difficult premolar extractions with minimal force ✅ Why sectioning and gentle elevation can replace aggressive bone removal ✅ Proper bur selection for sectioning thick alveolar bone ✅ The biological role of hyaluronic acid in clot stabilization and healing ✅ Key differences between PerioVive and OralVive ✅ Why retention is not the primary goal of hyaluronic acid therapy ✅ When and why to use hyaluronic acid in all extraction sites ✅ How bone grafts and blood clots support alveolar ridge preservation ✅ How to decide when a tooth is worth saving versus extracting Key Takeaways: ✅ Root fractures often occur at the interface between mobile and immobile bone ✅ Gentle, controlled elevation reduces complications more than force ✅ Removing less bone can sometimes improve extraction outcomes ✅ Hyaluronic acid is rapidly absorbed and supports natural healing pathways ✅ Pain modulation is a major benefit of HA in extraction sites ✅ Blood clots function as natural bone grafts ✅ Percentage of bone loss alone should not dictate extraction decisions ✅ Patient age, tooth function, and owner compliance matter most ✅ Long-term success depends on consistent rechecks and home care ✅ Some teeth can be saved—but not always in the patient's best interest Questions This Episode Answers: ❓ Should fissure burs be used for mandibular premolar extractions in dogs? ❓ Why do roots fracture after vestibular bone removal? ❓ How much pressure should be used during elevation? ❓ What is the difference between PerioVive and OralVive? ❓ Does hyaluronic acid need to "stay in place" to be effective? ❓ Should hyaluronic acid be used in every extraction site? ❓ Is a blood clot considered a bone graft? ❓ When should a tooth with severe bone loss be saved instead of extracted? ❓ How important is owner compliance in periodontal case selection? ❓ Is there still any indication for ClinDoral use? Get a FREE veterinary dentistry course with 1 hour of RACE-approved CE when you sign up for our newsletter:

You're a solid handicap golfer. On the tee, how often should you expect to make a bogey? And how does that change when the hole is a par 3, a par 4, and a par 5? Lou puts that question to Mark and Greg, and after they answer, they dissect the data. Where could you pick up lost shots most easily, to help lower your scores? Each of these will be a mini-episode (10-15 minutes long) about an interesting golf stat. We will discuss what you can learn, and most importantly, how you can apply this on the golf course to lower your scores and lower your handicap. Listen on your drive to the golf course or over your Saturday morning coffee! Data is sourced from Arccos Golf. They have over 1 BILLION shots in their database.  Check them out at: https://www.arccosgolf.com/  Use code MARK15 for 15% off! Where to find us: Mark Crossfield's weekly newsletter: https://www.crossfieldgolf.com/subscribe Mark Crossfield on Twitter: https://twitter.com/4golfonline Mark Crossfield on YouTube: https://www.youtube.com/user/4golfonline Lou Stagner's weekly newsletter: https://newsletter.loustagnergolf.com/subscribe Lou Stagner on Twitter: https://twitter.com/LouStagner Greg Chalmers on Twitter: https://twitter.com/GregChalmersPGA Learn more about your ad choices. Visit megaphone.fm/adchoices

You're a solid handicap golfer. On the tee, how often should you expect to make a bogey? And how does that change when the hole is a par 3, a par 4, and a par 5? Lou puts that question to Mark and Greg, and after they answer, they dissect the data. Where could you pick up lost shots most easily, to help lower your scores? Each of these will be a mini-episode (10-15 minutes long) about an interesting golf stat. We will discuss what you can learn, and most importantly, how you can apply this on the golf course to lower your scores and lower your handicap. Listen on your drive to the golf course or over your Saturday morning coffee! Data is sourced from Arccos Golf. They have over 1 BILLION shots in their database.  Check them out at: https://www.arccosgolf.com/  Use code MARK15 for 15% off! Where to find us: Mark Crossfield's weekly newsletter: https://www.crossfieldgolf.com/subscribe Mark Crossfield on Twitter: https://twitter.com/4golfonline Mark Crossfield on YouTube: https://www.youtube.com/user/4golfonline Lou Stagner's weekly newsletter: https://newsletter.loustagnergolf.com/subscribe Lou Stagner on Twitter: https://twitter.com/LouStagner Greg Chalmers on Twitter: https://twitter.com/GregChalmersPGA Learn more about your ad choices. Visit megaphone.fm/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

A listener and her teenager have been getting off to a good start selling on Facebook Marketplace. They now have the chance to sell for others, and are wondering about some best practices. Side Hustle School features a new episode EVERY DAY, featuring detailed case studies of people who earn extra money without quitting their job. This year, the show includes free guided lessons and listener Q&A several days each week. Show notes: SideHustleSchool.com Email: team@sidehustleschool.com Be on the show: SideHustleSchool.com/questions Connect on Instagram: @193countries Visit Chris's main site: ChrisGuillebeau.com Read A Year of Mental Health: yearofmentalhealth.com If you're enjoying the show, please pass it along! It's free and has been published every single day since January 1, 2017. We're also very grateful for your five-star ratings—it shows that people are listening and looking forward to new episodes.