Podcasts about perishable

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

Samantha Ayoub, an agricultural economist for the International Fresh Produce Association, says fruit and vegetable producers have a significant need for year-round labor.

Recently, Deloitte and Zoom announced they are slashing parental leave, PTO, and pension accruals. At the same time, Meta and Zuckerberg are implementing aggressive AI surveillance to "harvest" employee patterns and train their AI models. All the while, they preach human-centricity, but their actions tell a very different story.In this week's episode, I'm continuing the series on Fortifying Organizational Fragility. Last week, we declassified the "Rat's Nest" of our technical infrastructure. This week, we are looking at what appears to be the final severance of the social contract. We are moving into a dangerous era where employers ask for loyalty they haven't earned, and employees are incentivized to become "Intellectual Mercenaries" as they fend for themselves while their core cognitive skills begin to atrophy.The Declassification: The Dual Spiral of Human CapitalI break down two parallel journeys that have led us to this point of no return:​From Partner to Training Set: We've evolved from lifetime employment to career mobility, and now into the Mercenary and Mining Era. We are treating talent as a service while simultaneously mining them for the data that will eventually be used to replace them.​The Cognitive Decay Spiral: As the half-life of skills shrinks, many have reached a "Why Bother?" phase, believing any new skill will be vaporized by AI before it can be mastered. This leads to offloading 100% of our thinking to tools, causing our durable skills to atrophy.The "Now What": 3 Surgical Moves to Reclaim the FoundationUnfortunately, this entire trajectory is a ruse, a Ponzi scheme built on the impossible idea of a "lights-out" office that requires no human judgment. To survive the coming "Digital Tornado," you must take action today:​Close the "Say/Do" Gap: Stop participating in the drift toward treating employees as disposable line items. Re-establish agency by being open and honest with your teams about the environment you are in, rather than pretending the status quo is fine.​The Durable Skill Audit: You must deeply understand what work actually happens in your organization. Separate the "Perishable" tasks that AI can handle from the Durable Skills that are actually exploding in value.​Establish a Trust Anchor: You cannot "Ctrl+Z" shattered trust, but you can start building a new social contract based on mutual resilience. Work with your people to maximize the current environment, investing in them as individuals so they are anchored by purpose rather than just a paycheck.By the end of this episode, I hope to challenge you to hit the brakes on this corrosive trajectory. The future we're headed toward doesn't have to be tragic, but it will be if we continue to ignore the atrophy happening right under our noses.⸻If this conversation helps you think more clearly about the future we're building, make sure to like, share, and subscribe. You can also support the show by buying me a coffee at buymeacoffee.com/christopherlindAnd if your organization is wrestling with how to lead responsibly in the AI era, balancing performance, technology, and people, that's the work I do every day through my consulting and coaching. Learn more at christopherlind.co⸻Chapters00:00 – Benefit Cuts & AI Surveillance: The New Social Contract03:00 – The Journey of Human Capital: From Partner to Mercenary09:40 – The Cognitive Decay Spiral: The "Why Bother?" Phase15:50 – The Fallout: Shattering Trust Beyond Repair18:50 – The Ruse: Why the "Lights Out" Office is a Ponzi Scheme20:45 – Why You Can't "Ctrl+Z" This Culture23:00 – Step 1: Closing the "Say/Do" Gap25:00 – Step 2: The Durable Skill Audit27:45 – Step 3: Establishing the Trust Anchor31:00 – Conclusion: Fortifying the Foundation#FutureFocused #Leadership #HumanCapital #CognitiveAtrophy #FutureOfWork #AI #OrganizationalFragility #ChristopherLind #DurableSkills #TrustEconomy

1 Corinthians 15:42-50

Order Dr. Tyler Sykora's Perishable or Imperishable: Reconsidering the Building Materials in 1 Corinthians 3:12. Order Dr. Sykora's Going Deeper with New Testament Greek Workbook: With Exercises from Mark 8:22–10:52.  Find our more about our children's curriculum Big Gears for Little Ears. Sign up for the GearTalk Bible Reading Plan. Access Jason DeRouchie's resources on the Law, the Prophets, and the Writings. Access Hands to the Plow's resources on the Law, the Prophets, the Writings, and the Gospels. Support the work of Hands to the Plow.

Abhi Ramesh's grocery delivery startup has grown to $500 million in annual sales as he continues to reimagine how Americans shop for food. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

1 Corinthians 15:50-53

What really changes after active shooter response training? In this episode, Mary Dexter, Facilities Manager at National Association of State Boards of Accountancy (NASBA), shares her "before and after" perspective following Defend Systems training. Mary explains why she felt compelled to bring the training to her leadership team, and what shifted across her organization once employees experienced it. From facility walkthroughs to rapid response medical training, she discusses the practical value of preparation and why this training is about empowerment, not fear. If you're a business leader, facilities manager, or everyday civilian wondering whether this training is worth the time, this episode offers a firsthand look at what it actually feels like to go through it, and why Mary says there's no reason not to equip people with knowledge that could save a life. 3:20 — Why this episode exists: hearing from an everyday civilian about empowerment, not fear 4:16 — Why Mary advocated to bring active shooter response training to NASBA 7:20 — Who initiates security training and why it's now viewed like disaster preparedness 12:50 — Mary's view on the time commitment 15:10 — Considering the risk of employees regularly exposed to public environments 16:39 — You never know the final trigger in a person in crisis 18:00 — Three confirmed life-saves from rapid response medical training 19:15 — No one wants to face this, but it's necessary 20:14 — Why Mary calls the training empowering, not fear-based 26:00 — Emotional investment without causing trauma 31:14 — Why laws and codes haven't caught up 32:59 — Encouraging listeners to contact elected representatives 34:49 — No reason not to empower people with life-saving knowledge 37:19 — Perishable skills and training your primitive brain 38:38 — Addressing prior trauma and offering pre-conversations with employees 41:42 — Those who trained may have to care for those who didn't 43:10 — A skillset that lasts a lifetime

The Scripture readings are Exodus 17:1-7; 1 Corinthians 9:24-10:5; and Matthew 20:1-16. When you wake up every morning, you are to see a track, a race, a finish line, and a prize. That prize is the imperishable crown of righteousness (2 Tim. 4:8) and life with your Savior. Get up and run that you may obtain it.

Preacher: Micah Tufts

In this episode, Donna and Tom sit down with Eric Peters, President and CEO of Procurant, to explore his journey from consulting to entrepreneurship and his vision for transforming agriculture supply chains through technology. Eric shares how his early career at Accenture prepared him for leadership, the evolution of technology as an enabler in supply chain management, and the unique challenges of the agriculture sector that demand agility and resilience. He discusses Procurant's mission to improve agriculture supply chains globally, offers insights on where students are most and least prepared for the workforce, and provides valuable advice for aspiring entrepreneurs navigating their own journeys. Takeaways: Transitioning from consulting to CEO and co-founder Technology's role in enabling modern supply chains The unique dynamics and challenges of agriculture supply chains Entrepreneurial advice and career wisdom Stay connected with CSCR on LinkedIn (Center for Supply Chain Research) and Instagram (@pennstatesupplychain), and be sure to follow us on Spotify, Apple Podcasts, or wherever you are tuning into Unpacked: Insights hosted by the Penn State Smeal Center for Supply Chain Research™. Thank you for joining us!  Visit our website: https://www.smeal.psu.edu/cscr  Guest Bio: Eric Peters, President and CEO of Procurant, brings extensive experience and vision in supply chain technology to a series of successful software companies he has founded and led. He has been featured and quoted in hundreds of articles on supply chain, retail and the food industry, and is a contributing author to 5 books. Peters was previously CEO of SensorThink, the first digital platform built to support the digital warehouse, and Foodlink, acquired by Roper Technologies in 2014. Foodlink, the leading network for fresh food and a pioneer in perishables supply chain solutions, was twice named to the JMP Securities Hot 100 Private Software Companies list. Prior to joining Foodlink Peters co-founded TrueDemand Software, one of the first IoT technology companies to use predictive analytics to help the largest retailers in the world reduce lost sales due to out-of-stock inventory at the shelf. He continued to lead TrueDemand following its acquisition by Acosta Sales & Marketing. Peters has also served as EVP of Strategy and Business Development at Manhattan Associates and Senior Executive in Accenture's Global Supply Chain Strategy Practice. He speaks regularly at industry events around the world and serves as a board advisor to a number of startup companies.

After pushing himself to the brink trying to live up to the pace and standards Phil carried for decades, Jase walks away with a new appreciation for just how much his dad handled. The guys explore how Scripture reframes work and rest as part of God's design rather than opposites, especially in light of Jesus' resurrection. They close by reflecting on the difference between perishable and imperishable bodies, and why the hope of new creation gives meaning to both our limits now and what lies ahead. In this episode: John 20, verses 19–29; Luke 24, verses 13–35; John 21, verses 1–14; Genesis 1, verses 1–31; Genesis 2, verses 2–15; Hebrews 2, verses 14–15; Hebrews 4, verses 1–11; Ephesians 2, verses 1–10; Revelation 21, verse 27 “Unashamed” Episode 1237 is sponsored by: https://andrewandtodd.com or call 888-888-1172 — These guys are the real deal. Get trusted mortgage guidance and expertise from someone who shares your values! https://tomorrowclubs.org/unashamed — Join this disciple-making movement by supporting Tomorrow Clubs! https://www.covenanteyes.com/unashamed/ — Try Victory by Covenant Eyes free for 30 days! https://rocketmoney.com/unashamed — Join Rocket Money and let them help you reach your financial goals faster.  http://unashamedforhillsdale.com/ — Sign up now for free, and join the Unashamed hosts every Friday for Unashamed Academy Powered by Hillsdale College Check out At Home with Phil Robertson, nearly 800 episodes of Phil's unfiltered wisdom, humor, and biblical truth, available for free for the first time! Get it on Apple, Spotify, Amazon, and anywhere you listen to podcasts! https://open.spotify.com/show/3LY8eJ4ZBZHmsImGoDNK2l Listen to Not Yet Now with Zach Dasher on Apple, Spotify, iHeart, or anywhere you get podcasts. Chapters: 00:00-07:32 God's perfect engineer 07:33-14:13 Wrapping up a sprawling study of John 14:14-23:43 Perishable bodies vs. imperishable bodies 23:44-32:37 What it truly means to “rest” 32:38-43:13 Working isn't a curse, it's our purpose 43:14-55:28 Going to brunch with Jesus — Learn more about your ad choices. Visit megaphone.fm/adchoices

Lester Kiewit speaks to Demetri Economopoulos, founder of Score grocery discounter in Claremont. They discuss the difference between expiry dates and best before dates on foods. Demetri says far too many people throw out perfectly good food because they do not understand the difference between the two. Good Morning Cape Town with Lester Kiewit is a podcast of the CapeTalk breakfast show. This programme is your authentic Cape Town wake-up call. Good Morning Cape Town with Lester Kiewit is informative, enlightening and accessible. The team’s ability to spot & share relevant and unusual stories make the programme inclusive and thought-provoking. Don’t miss the popular World View feature at 7:45am daily. Listen out for #LesterInYourLounge which is an outside broadcast – from the home of a listener in a different part of Cape Town - on the first Wednesday of every month. This show introduces you to interesting Capetonians as well as their favourite communities, habits, local personalities and neighbourhood news. Thank you for listening to a podcast from Good Morning Cape Town with Lester Kiewit. Listen live on Primedia+ weekdays between 06:00 and 09:00 (SA Time) to Good Morning CapeTalk with Lester Kiewit broadcast on CapeTalk https://buff.ly/NnFM3Nk For more from the show go to https://buff.ly/xGkqLbT or find all the catch-up podcasts here https://buff.ly/f9Eeb7i Subscribe to the CapeTalk Daily and Weekly Newsletters https://buff.ly/sbvVZD5 Follow us on social media CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567See omnystudio.com/listener for privacy information.

How many classes do you need to teach to get to a point where you're a good teacher? How often do you need to teach classes to maintain that skill? Nick Young and I share our thoughts on teaching and discuss some things you should be thinking about even if you don't teach. Log into Practical Shooting Training Group to watch the video feed for the podcast, view the content linked in the show notes, and ask follow up questions at http://pstg.us/

I sat down with Garrett Otondo, Director of Strategic Operations at Little Spoon, to explore how their team scaled from DTC to retail while shipping 30,000+ fresh meals each week.We cover:Cold chain packaging + logisticsData-driven demand planning to reduce wasteHow Owlery streamlined freight and retail launch

DSD 6.9 | Surplus calves are a perishable commodity This robust beef market is having a direct impact on the bottom line of dairy calf buyers and possesses the ability to radically impact dairymen's bottom line long term through low all milk prices. This month we talk to researcher Dr. Sam Locke from The Ohio State University about a survey launched to help better understand the workings of the current calf buyers, jockeys and marketers. All sectors of this parallel and complementary production stream must work together for the dairy industry to generate a stronger, longer - lasting foothold in the beef industry. If done well through this opportunity, the dairy surplus calf market will establish a foothold in the beef supply chain. Listen in to hear insightful quotes from these Midwest calf buyers to help maximize your operation's innate revenue stream. Topics of discussion 1:06       Paper Title: Understanding 1:40       Introduction of Dr. Sam Locke 2:39       Description of research participants who were being interviewed 3:42       Description of operations 5:07       What are surplus calves 6:09        Percent of Beef on Dairy vs. Holstein calves 7:10       Date of survey / market effect on responses 8:12       Themes of responses 9:36       Number one issue: Long distance transporting 11:31     Gathering calves – the route 12:42     Policies around calf transport in Canada 14:56     Premiums for ideal serum values 16:28     Expert advice needed 18:52     Opinions on vertical integration 21:33     Long term contributions to the beef industry going forward 22:39     Health challenges – consider vaccination 23:54     What do you want “boots on the ground” dairymen to learn from this project? 24:52     Budget impacts Featured Article: Understanding challenges and strengths in the post–dairy farm surplus calf value chain: An interview study #2xAg2030; #journalofdairyscience; #openaccess; #MODAIRY; #bullcalves; #beefondairy; #surpluscalves; #growers; #Calfjockey; #dairysciencedigest; #ReaganBluel

Send us a textScott, JB, TJ, and Jensen get together for some fun and discussions about scale modeling. Grant is missing due to attending Wondercon. We hope he has a great time at the show! In this episode, we discuss two ideas/concepts, namely Are you a Preserver or a Destroyer, in your modeling AND in your hobby in general, and also "Inspiration is Perishable." We also close out our Group Build for the AK M1008 Chevy Trucks sponsored by AK Interactive and Micro-World Games.If you would like to become a Posse Outrider, and make a recurring monthly donation of $ 1 and up, visit us at www.patreon.com/plasticpossepodcast .Plastic Posse Podcast on Facebook: https://www.facebook.com/PlasticPossePlastic Posse Group on Facebook: https://www.facebook.com/groups/302255047706269Plastic Posse Podcast MERCH! : https://plastic-posse-podcast.creator-spring.com/Plastic Posse Podcast on YouTube:https://www.youtube.com/channel/UCP7O9C8b-rQx8JvxFKfG-KwOrion Paintworks (TJ): https://www.facebook.com/orionpaintworksJB-Closet Modeler (JB): https://www.facebook.com/closetmodelerThree Tens' Modelworks (Jensen): https://www.facebook.com/ThreeTensModelWorksRocky Mountain Expo: https://rockymtnhobbyexpo.com/SPONSORS:Tankraft: https://tankraft.com/AK Interactive: https://ak-interactive.com/Tamiya USA: https://www.tamiyausa.com/Micro World Games: https://mwg-hobbies.com/Bases By Bill: https://basesbybill.com/?srsltid=AfmBOoojwgAlnXwsJcB_SlYzeclVt9ZuIX3Fd18Ig9k5f4vyIYmihobbSupport the showSupport the show

Grace Life Bible Church Of Omaha1 Kings 11:1-8Pastor John Holmes

Sam Altman is preparing to co-found a new company funded by OpenAI that will go up against Elon Musk's Neuralink, The Financial Post reported. The startup, called Merge Labs, will use AI for its brain-computer interface and compete directly with Neuralink, along with other nascent companies in the field like Precision Neuroscience and Synchron. In other news, Apple is still hard at work on becoming a relevant player in AI. The latest missive from Mark Gurman at Bloomberg suggests that Apple is shifting its artificial intelligence goals to center on new device segments. Sources reportedly told the publication that Apple has a slate of new smart home products in the works that could help pivot its lagging AI strategy; and Amazon is expanding its same-day grocery delivery service with the addition of perishable food items in over 1,000 US cities. Shoppers can now add fresh grocery items like produce, dairy, meat, seafood and frozen foods to their orders. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Plus - Amazon rolls out same-day delivery of perishable groceries in 1,000 US cities; Pocket FM gives its writers an AI tool to transform narratives Learn more about your ad choices. Visit podcastchoices.com/adchoices

Many Amazon customers can now order their groceries with their supplies. AP correspondent Donna Warder reports.

Corruption This week we continue the thread of study in the Song of Songs that prophesies of the call to Messiah to possess the earth, the awakening of Gog and Magog, as well as the awakening and ingathering of the Bride of Messiah into the Garden: “I have come into my garden, my sister, my bride; I have gathered my myrrh along with my balsam. I have eaten my honeycomb and my honey; I have drunk my wine and my milk. Eat, friends; drink and imbibe deeply, O lovers.” (Song of Songs 5:1) As with the sending of pomegranates in Chapter Four symbolized the giving of the commandments to Israel, so this expression: “I have gathered my myrrh along with my balsam [oil…]” ...can allude to a “good name.” Those who bear the good Name have a reputation that is aromatic in the earth already. They do not wait for Messiah Yeshua to return, but they work hard “That every one of you should know how to possess his vessel in sanctification and honor, not in the passion of lust like the Gentiles which know not God:” (1 Th 4:4-5) Because we must show hospitality to the stranger, alien, orphan, and widow, we must be a miniature “house of prayer for all nations” like the Temple. For those seeking healing, comfort, salvation, and the many things for which humans rely on their Creator to supply, we are the Father's outstretched arms. And because He is holy, we must be holy. Like the greeter at the door of Walmart represents our first impression of the store, so believers are the first impression the nations have of their Creator's holy nature. Like the holy incense was pounded and compounded for the holy Temple, believers will be pounded and compounded to release the pleasing aromas to the world. The discipline of our evil inclination, or yetzer hara, is like a daily death which turns into a fragrant Temple spice. Likewise, myrrh is a death spice, yet it is compounded with other spices like healing balsam oil to create a compounded fragrance.  “A good name is better than precious ointment; and the day of death than the day of one's birth.” (Ecc 7:1) The first statement sounds agreeable, but does the second? If the gathering of myrrh and balsam is the gathering of the righteous to the Garden who have received the Good Name and who have returned their gifts and sacrifices for the sake of His Good Name to the Bridegroom, then how is their “gathering” related to the day of their death and a better day? Death must occur before there can be a resurrection. What was sown in corruption must be raised incorruptible. Isn't this what every righteous soul longs for? So also is the resurrection of the dead. It is sown a perishable G5356 body, it is raised an imperishable body; it is sown in dishonor, it is raised in glory; it is sown in weakness, it is raised in power; it is sown a natural body, it is raised a spiritual body. If there is a natural body, there is also a spiritual body. (1Co 15:42-44) For this perishable must put on the imperishable, and this mortal must put on immortality. But when this perishable [G5349] will have put on the imperishable, and this mortal will have put on immortality, then will come about the saying that is written, “DEATH IS SWALLOWED UP in victory. (1 Co 15:53-54) “Perishable” is G5349, phthartós, from G5351; decayed, i.e. corruptible, perishable, i. e. mortal, that which is liable to corruption It is from: Strong's G5351 – phtheir? to shrivel or wither, i.e. to spoil (by any process) or (generally) to ruin (especially figuratively, by moral influences, to deprave):—corrupt (self), defile, destroy. Sin and death go together. As long as we are susceptible to death, we are susceptible to sin. Remove the strength of death, and the strength of sin is removed as well. The aromatic righteous will no longer be subject to the corruptibility of sin that destroys the Temple.

Welcome to episode 191 of Growers Daily! We cover: making perishable greens and such last in the cooler (plus other harvest tips), a cover crop for root knot nematodes and a bokashi composting tomato situation… We are a Non-Profit! 

From Perishable to Imperishable – Resurrection Living Through Sacrificial Service1 Corinthians 15:35–58In this teaching on the 3rd Part of 1 Corinthians 15, we shift from theological foundations to eternal transformation. Paul reveals the mystery of the resurrection body: what is sown in weakness is raised in power, just as Yeshua was raised as the firstfruits.Through this teaching, you'll discover how true discipleship means sowing your life like a seed - denying yourself, taking up your cross daily, and following Yeshua wherever He leads. We expose the false promises of materialistic faith and realign our hearts with the eternal rewards God promises to His faithful servants.Rooted in the words of Yeshua and confirmed in the Book of Revelation and Acts, this message is a call to persevere, serve, and live for what truly lasts.Key verse:“Always give yourselves fully to the work of the Lord, because you know that your labor in the Lord is not in vain.”– 1 Corinthians 15:58

Want to learn more about refrigerated freight for the food and beverage industry? Listen to this week's last guest, Michael Cherney, the co-founder and CEO of Cooler Logistics! Michael shares his shift from the financial services sector to founding Cooler Logistics, their company's strategic focus on small to mid-sized customers, innovative operational approaches using technology, and the importance of customer retention and consistent pricing strategies!   About Michael Cherney Michael Cherney is a proven leader in the logistics industry with 16 years of experience. He holds a master's degree in Global Supply Chain Management and a Lean Six Sigma Green Belt Certification. Known for his exceptional leadership, Michael, a first time CEO, leads a diverse team of experienced logistics professionals aiming to provide an exceptional experience to their carrier and customer partners alike. With an ideal customer profile of SMBs in the F&B vertical, his subject matter expertise in shipping fresh and frozen products shines.    Connect with Michael Website: https://www.coolerlogistics.com/  LinkedIn: https://www.linkedin.com/in/michaelcherney/  

Send us a text✨ FREE LEARNING RESOURCES FOR A YEAR! - https://irishpagan.school/freeWondering what to do with perishable offerings in your spiritual practice? Join Jon O'Sullivan as he explores the importance of mindful offerings and how to handle foodstuffs and other perishable items. Discover the cultural and environmental considerations involved, including when and how to dispose of offerings to Gods and Goddesses like Brigid, the Dagda, Lugh, and the Morrigan.Jon covers the ethical and ecological aspects, as well as the importance of daily engagement with your altar space. Whether you are new to spiritual offerings or looking to deepen your practice, this episode offers practical advice on maintaining a respectful and conscious approach.Learn more about offerings, altar spaces, and spiritual practices at the Irish Pagan School. If you're just starting out, we have free resources to help you on your journey!✨ Irish Pagan Resources Checklist available NOW - https://irishpagan.school/checklist/

Supermarkets play a pivotal role in the daily lives and finances of millions of Australians.  In this episode, we'll delve into the Australian Competition and Consumer Commission's (ACCC) major inquiry into the supermarket industry. One of the experts who made a submission to the ACCC for this inquiry discusses key issues such as: Price gouging concerns and evidence of abnormal profits Market structure and consumer experience Pricing strategies and trends Perishable products and food waste Future recommendations for fair competition Tune in to learn more on how this inquiry could reshape the supermarket sector and deep dive into issues around the cost of groceries. Host: Tiffany Tan CPA, Audit and Assurance Lead, Policy and Advocacy, CPA Australia Guest: Professor Matthew Pinnuck from the University of Melbourne Head online to read the final report on supermarkets by the ACCC.  You can also read the ACCC's interim report on supermarkets, the inquiry's overview as well as learn more about the ACCC and the scope of its work. Additionally, you can see Professor Pinnuck's submission to the inquiry, as well as the ACCC's information on the food and grocery code of conduct for the industry. For more on Professor Matthew Pinnuck, head to his Melbourne University expert profile page.  You can find a CPA at our custom portal on the CPA Australia website. Would you like to listen to more With Interest episodes? Head to CPA Australia's podcast tab on its YouTube channel CPA Australia publishes four podcasts, providing commentary and thought leadership across business, finance, and accounting: With Interest INTHEBLACK INTHEBLACK Out Loud Excel Tips Search for them in your podcast platform. Email the podcast team at podcasts@cpaaustralia.com.au

Hosts Jim DeRogatis and Greg Kot welcome Eric Johnson of long-running indie folk band Fruit Bats for an interview and performance. The hosts also review the debut album from punk shock activists, Lambrini Girls.Join our Facebook Group: https://bit.ly/3sivr9TBecome a member on Patreon: https://bit.ly/3slWZvcSign up for our newsletter: https://bit.ly/3eEvRnGMake a donation via PayPal: https://bit.ly/3dmt9lUSend us a Voice Memo: Desktop: bit.ly/2RyD5Ah Mobile: sayhi.chat/soundops Featured Songs:Fruit Bats, "When U Love Somebody," Mouthfuls, Sub Pop, 2003The Beatles, "With A Little Help From My Friends," Sgt. Pepper's Lonely Hearts Club Band, Parlophone, 1967Lambrini Girls, "Bad Apple," Who Let the Dogs Out, City Slang, 2025Lambrini Girls, "Nothing Tastes As Good As It Feels," Who Let the Dogs Out, City Slang, 2025Lambrini Girls, "Scarcity Is Fake (communist propaganda)," Who Let the Dogs Out, City Slang, 2025Fruit Bats, "Rushin River Valley (Live on Sound Opinions)," A River Running To Your Heart, Merge, 2023Fruit Bats, "Today," Siamese Dream, Turntable Kitchen, 2020Califone, "Bottles and Bones (Shades and Sympathy)," Roomsound, Perishable, 2001Fruit Bats, "We Used To Live Here (Live on Sound Opinions)," A River Running To Your Heart, Merge, 2023Fruit Bats, "Humbug Mountain Song (Live on Sound Opinions)," Absolute Loser, Easy Sound, 2016Fruit Bats, "When U Love Somebody (Live on Sound Opinions)," Mouthfuls, Sub Pop, 2003Chumbawamba, "Tubthumping," Tubthumper, EMI, 1997See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we break down the rise of perishable e-commerce shipping. Our guest, Juan Meisel, CEO and founder At Grip, joins us to explain the rise of perishable e-commerce fulfillment and building out a network. For more information subscribe to Running on Ice the newsletter or podcast. Learn more about your ad choices. Visit megaphone.fm/adchoices

Trigger Warning for mentions of self-harm.    In this week's episode, “Perishable,”  it becomes clear to the Pack after an attempt on Parrish's life that the deadpool has been made available to anyone willing to go after supers. Lydia dives into her grandmother's past, uncovering a new list which leads her to Eichen House. And we sit down with Katie Eastridge, script supervisor for Teen Wolf.     If you'd like to support the show, you can find us on Patreon at RTBH Podcast. There, our Wolfy Patrons will gain access to awesome exclusives, like early access to episodes, full-moon AMAs, the Beacon Hills Movie Club, where we watch and provide commentary for movies starring the amazing cast of Teen Wolf and featuring the work of our talented crew, as well as guest video interviews and a monthly watch party. So head on over to Patreon.com/rtbhpodcast and join the pack!    In the next episode, “Monstrous,” Meredith is brought in for questioning, but refuses to talk to anyone but Peter. Stiles and Malia head to the lake house to find a way to stop the deadpool. Scott, Derek, Kira and the Pack take a stand against a wave of assassins out for blood and cash. Follow Will (@willwritesgood) on Twitter and Instagram and Kalissa on Twitter (@kaliforniadawn) and Instagram (@insipidramblings).   TIME CODES: Beta Section: 03:38 Alpha Section: 48:41

In this week's episode, “Time of Death,” the Pack, with Noshiko's help, come up with a dangerous plan to reveal the Benefactor's identity, but Kate's arrival threatens to ruin it all. Malia comes face-to-face with Peter in the Hale vault and begins to delve into her past. And we sit down with Alyma Dorsey, who did stunts on Teen Wolf.    If you'd like to support the show, you can find us on Patreon at RTBH Podcast. There, our Wolfy Patrons will gain access to awesome exclusives, like early access to episodes, full-moon AMAs, the Beacon Hills Movie Club, where we watch and provide commentary for movies starring the amazing cast of Teen Wolf and featuring the work of our talented crew, as well as guest video interviews and a monthly watch party. So head on over to Patreon.com/rtbhpodcast and join the pack!    In the next episode, “Perishable,” it becomes clear to the Pack after an attempt on Parrish's life that the deadpool has been made available to anyone willing to go after supers. Lydia dives into her grandmother's past, uncovering a new list which leads her to Eichen House.    Follow Will (@willwritesgood) on Twitter and Instagram and Kalissa on Twitter (@kaliforniadawn) and Instagram (@insipidramblings).   TIME CODES:   Beta Section: 03:24 Alpha Section: 51:27

We improve, heal, and expand our sexuality (and our lives) by building and practicing skills. Some of those skills are durable... and some are very perishable. It's especially important to understand which skills are perishable and must be renewed. Schedule a coaching session with me: ⁠⁠⁠⁠⁠⁠https://www.holisticalpha.com/getcoaching⁠⁠⁠⁠⁠ What are your thoughts? Comment below. Like the show? Leave a 5 star rating - it will help more guys find it. Note: The show is best experienced (with video) on SPOTIFY. ----Let's connect: Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.holisticalpha.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/7naS5aTjRY5qpVHdaM7Qhb⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Holistic Alpha Podcast helps men unleash their real power on a foundation of healed and empowered sexuality. Among the topics you'll find in the archives and going forward are overcoming porn addiction, practicing semen retention, healing erectile dysfunction & improving erection quality, mindful masturbation / edging, and much more. We also cover aspects of testosterone & hormonal health, mental & emotional health, discipline, and other aspects of unleashing our best self.

12/14/24. Five Minutes in the Word scriptures for today: 1 Corinthians 9:25. Resources: enduringword.com; biblehub.com; logos.com; and Life Application Study Bible. Listen daily at 10:00 am CST on https://kingdompraiseradio.com. November 2021 Podchaser list of "60 Best Podcasts to Discover!" LISTEN, LIKE, FOLLOW, SHARE! #MinutesWord; @MinutesWord; #dailybiblestudy #dailydevotional #christianpodcaster #prayforpeace https://m.youtube.com/@hhwscott

In this Meet the Startup episode of the Alumni Ventures Tech Optimist Podcast, Jason Bird interviews Jason Park, Co-founder and CEO of Coldcart, about the company's innovative approach to solving challenges in perishable parcel logistics. Jason shares how Coldcart's end-to-end platform helps businesses cut shipping costs by 15-50% while reducing spoilage by 40-60%. He explains how the company's enterprise-grade technology integrates seamlessly into existing systems, optimizing routing and packaging in real time to deliver consistent quality. With 3 billion perishable parcels shipped annually in the U.S., Jason highlights Coldcart's readiness to scale and its mission to transform an underserved market. Discover how Coldcart is reshaping the future of perishable logistics and what makes this fast-growing startup a game-changer in an evolving industry—don't miss this insightful conversation! To Learn More:Alumni Ventures (AV)AV LinkedInAV Seed FundTech OptimistColdcartLegal Disclosure:https://av-funds.com/tech-optimist-disclosuresCreators & Guests Jason Bird - Guest Jason Park - Guest

Welcome to another episode of Category Visionaries — the show that explores GTM stories from tech's most innovative B2B founders. In today's episode, we're speaking with Jason Park, CEO & Co-Founder of Coldcart, a perishable e-commerce fulfillment platform that's raised $6.5 Million in funding. Here are the most interesting points from our conversation: Solving the Last Frontier of Perishable Shipping: Coldcart focuses on orchestrating and optimizing the delivery of frozen and refrigerated goods, solving the dual challenge of balancing cost and spoilage. Massive Market Opportunity: With 3 billion perishable parcels shipped in the U.S. last year, projected to reach 9 billion by 2032, Coldcart addresses a booming market with significant unmet needs. Significant Cost Reductions: By analyzing variables like temperature, shipping routes, and insulation in real time, Coldcart reduces shipping costs by 15%-50% and cuts late deliveries by 40%-60%. Customer Lifetime Value at Stake: Jason emphasized the high stakes of perishable shipping, as even one late or spoiled delivery can result in the loss of future customer orders, impacting customer lifetime value by 3 to 7 future orders. Impact Beyond D2C Food: Coldcart's platform spans various industries, including pharmaceuticals and industrials, with the perishable e-commerce market growing steadily by 18% each year, driven by generational and demographic shifts. Strategic Go-to-Market Patience: Jason revealed that Coldcart's most critical GTM decision was to initially limit growth and focus on perfecting the product, ensuring it was enterprise-grade before scaling rapidly.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co    

Send us a textIn this episode of The New Warehouse Podcast, we welcome Juan Meisel, the founder and CEO of GRIP, a company specializing in perishable fulfillment services. Juan shares his journey to founding GRIP to solve perishable fulfillment problems on a larger scale. For example, GRIP's powerful shipping engine optimizes the delivery process for temperature-sensitive products. Tune in as we dive into the unique obstacles of perishable logistics and how GRIP's innovative technology is making a difference.Get your free demo of CartonCloud's WMS right here. Sign up for Warehouse Wisdom Wednesdays right here. Follow us on LinkedIn and YouTube.Support the show

Learn about Foundations of Peddling Perishable Products: https://www.sunnymarymeadowcoaching.com/foundationsofPPPKatie and Audra from Ranchy Stems discuss their experience taking Liz's course on Peddling Perishable Products. They talk about their backgrounds, their journey in investing in themselves, and the changes they made to their flower farming business as a result of the course. They emphasize the importance of efficiency, streamlining processes, and building a business around their life. They also highlight the value of the course in providing guidance, shortcuts, and a community of support. Overall, they express gratitude for the course and the opportunity to learn and grow their business.TakeawaysEfficiency and streamlining processes are key to running a successful flower farming business.Building a business around your life, rather than the other way around, is important for sustainability and work-life balance.Investing in education and guidance, such as taking a course, can provide valuable shortcuts and help avoid costly mistakes.Being part of a supportive community of like-minded individuals can provide inspiration, motivation, and opportunities for collaboration.Constant learning and adaptation are essential for growth and success in the flower farming industry.Helpful Links:Quickbooks: https://quickbooks.partnerlinks.io/0o09r7rqoau4Podcast website: www.sunnymarymeadowcoaching.comPodcast Instagram: https://www.instagram.com/sunnymarymeadow/Sunny Mary Meadow flower farm (www.sunnymarymeadow.com) specializes in bouquet subscriptions, stem bars, and a you-pick flower farm experience.Podcast Facebook group: https://www.facebook.com/groups/888196709178852

SummaryChris Mo, CEO and founder of Cartograph, discusses his role in helping consumer packaged goods brands succeed on Amazon. He highlights the importance of crafting compelling product listings and utilizing advertising to drive visibility and sales. Mo also discusses trends in the food and beverage industry, such as the rise of emerging brands and the popularity of gummies as a new form factor for supplements. He also touches on the challenges Amazon faces in certain categories, such as perishable foods and apparel.KeywordsAmazon, consumer packaged goods, advertising, food and beverage industry, emerging brands, gummies, product listings, trendsTakeawaysCrafting compelling product listings is crucial for success on AmazonAdvertising is essential for driving visibility and sales on the platformEmerging brands in the food and beverage industry have seen success on AmazonGummies are a popular new form factor for supplementsAmazon faces challenges in categories like perishable foods and apparelSound Bites"Crafting compelling product listings is the key to success on Amazon.""Advertising is essential for driving visibility and sales on the platform.""Amazon faces challenges in categories like perishable foods and apparel."Chapters00:00Introduction and Background03:54The Challenges of Selling on Amazon08:17Focus on the Food and Beverage Industry08:36Emerging Food and Beverage Trends12:11Innovation in Food and Beverage13:00Shipping Challenges for Liquid Products15:14The Importance of Product Creative on Amazon17:03Managing Reviews on Amazon27:16Changes and Challenges for Amazon29:37Competition and Market Share32:51Shameless Plug34:10

We talk to Middlebury author Carolyn Kuebler about her debut novel.

Etiquette, manners, and beyond! In this episode, Nick and Leah tackle enjoying petit fours, visiting New York City, tracking down perishable gifts, and much more. Please follow us! (We'd send you a hand-written thank you note if we could.)Have a question for us? Call or text (267) CALL-RBW or visit ask.wyrbw.comEPISODE CONTENTS AMUSE-BOUCHE: Mignardises and Petit Fours A QUESTION OF ETIQUETTE: New York City Etiquette QUESTIONS FROM THE WILDERNESS: How do I respond to unsolicited encouragement from a stranger after a fitness class? How should I handle a perishable gift that's been delayed in the mail? VENT OR REPENT: Rude taxi drivers, Stealing laundry carts CORDIALS OF KINDNESS: Using luggage racks, Thanks for joining us at our recent live show THINGS MENTIONED DURING THE SHOWParts of a French mealYOU ARE CORDIALLY INVITED TO... Support our show through Patreon Subscribe and rate us 5 stars on Apple Podcasts Call, text, or email us your questions Follow us on Instagram, Facebook, and Twitter Visit our official website Sign up for our newsletter Buy some fabulous official merchandise CREDITSHosts: Nick Leighton & Leah BonnemaProducer & Editor: Nick LeightonTheme Music: Rob ParavonianADVERTISE ON OUR SHOWClick here for detailsTRANSCRIPTEpisode 224See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Etiquette, manners, and beyond! In this episode, Nick and Leah tackle enjoying petit fours, visiting New York City, tracking down perishable gifts, and much more. Please follow us! (We'd send you a hand-written thank you note if we could.) Have a question for us? Call or text (267) CALL-RBW or visit ask.wyrbw.com EPISODE CONTENTS AMUSE-BOUCHE: Mignardises and Petit Fours A QUESTION OF ETIQUETTE: New York City Etiquette QUESTIONS FROM THE WILDERNESS: How do I respond to unsolicited encouragement from a stranger after a fitness class? How should I handle a perishable gift that's been delayed in the mail? VENT OR REPENT: Rude taxi drivers, Stealing laundry carts CORDIALS OF KINDNESS: Using luggage racks, Thanks for joining us at our recent live show THINGS MENTIONED DURING THE SHOW Parts of a French meal YOU ARE CORDIALLY INVITED TO... Support our show through Patreon Subscribe and rate us 5 stars on Apple Podcasts Call, text, or email us your questions Follow us on Instagram, Facebook, and Twitter Visit our official website Sign up for our newsletter Buy some fabulous official merchandise CREDITS Hosts: Nick Leighton & Leah Bonnema Producer & Editor: Nick Leighton Theme Music: Rob Paravonian ADVERTISE ON OUR SHOW Click here for details TRANSCRIPT Episode 224 Learn more about your ad choices. Visit megaphone.fm/adchoices

- 3rd Monday of Easter - Father Edward 4-15-24

Tim and Steve discuss the concept of perishability in martial arts and beyond. They emphasize the importance of maintaining and sustaining anything of value in all aspects of life to prevent decay. The hosts delve into the significance of upkeep to keep skills and values alive throughout one's lifetime.   Tim shares how he can spot trained martial artists based on their demeanor, highlighting the impact of consistent training.

Episode brought to you by More StaffingJoin 15k founders and marketers & get our pod highlights delivered directly to your inbox with the DTC Pod Newsletter!Juan Meisel is the Founder and CEO at Grip Shipping, a pioneering Direct-to-Consumer eCommerce for perishable products. After serving as the Head of Logistics of Buterbox, he launched Grip which has since processed over a billion dollars' worth of perishable goods through their innovative platform, and now offers comprehensive fulfillment services, reducing shipping costs by an impressive 30%.On this episode, we'll cover everything about perishable logistics, how Butcherbox solved for these challenges at scale, and how brands can tap into the same infrastructure through Grip with low minimum volume requirements for fast growing perishable goods brands.On this episode of DTC pod we cover:1. Optimizing perishable goods shipping2. Cutting shipping costs significantly3. Scaling fulfillment network strategy4. Unique challenges in perishable logistics5. Importance of data-driven decision making6. Evolving market for online perishables7. Building versus partnering in logisticsTimestamps00:00 Early team member bootstrapped Butcherbox, now scaling Grip.05:49 Shipping perishable goods quickly causes many challenges.09:18 Fragmented warehousing systems, leading to shipping issues.14:18 Challenges with dynamic shipping and manual processes.16:10 Early companies failed due to profit challenges.19:40 Identified shipping needs, led to market connection.22:21 Understanding problems, team support, and evolving markets.27:44 Optimizing perishable shipping for increased profitability.29:08 Software innovation drives substantial reduction in shipping costs.35:16 Focus on defending and scaling company culture. Shownotes powered by CastmagicPast guests & brands on DTC Pod include Gilt, PopSugar, Glossier, MadeIN, Prose, Bala, P.volve, Ritual, Bite, Oura, Levels, General Mills, Mid Day Squares, Prose, Arrae, Olipop, Ghia, Rosaluna, Form, Uncle Studios & many more. Additional episodes you might like:• #175 Ariel Vaisbort - How OLIPOP Runs Influencer, Community, & Affiliate Growth• #184 Jake Karls, Midday Squares - Turning Your Brand Into The Influencer With Content• #205 Kasey Stewart: Suckerz- - Powering Your Launch With 300 Million Organic Views• #219 JT Barnett: The TikTok Masterclass For Brands• #223 Lauren Kleinman: The PR & Affiliate Marketing Playbook• ​​​​#243 Kian Golzari - Source & Develop Products Like The World's Best Brands-----Have any questions about the show or topics you'd like us to explore further?Shoot us a DM; we'd love to hear from you.Want the weekly TL;DR of tips delivered to your mailbox?Check out our newsletter here and our Projects the DTC Pod team is working on:DTCetc - all our favorite brands on the internetOlivea - the extra virgin olive oil & hydroxytyrosol supplementCastmagic - AI Workspace for ContentFollow us for content, clips, giveaways, & updates!DTCPod InstagramDTCPod TwitterDTCPod TikTok ---Juan Meisel - Founder and CEO at Grip ShippingBlaine Bolus - Co-Founder of CastmagicRamon Berrios - Co-Founder of Castmagic

Here it is! Sit back and relax, fasten your seatbelt and put the car in drive, because we have a very long, double trouble, colossal episode for you all! This week on The Nemeton Podcast we sit down and rewatch Perishable and Monstrous for a jammed pack episode of all being revealed. Parrish is set on fire, Sheriff gets shot, Derek isn't a werewolf anymore, kids are allowed to drink at school, Brunski is a serial killer, Peter and Meredith were in the same hospital and she heard all of his thoughts, everyone in Beacon Hills gets a copy of the dead pool, Kira saves Satomi's pack, Meredith thought she was helping, and Peter wants to kill Scott McCall. -Enough said--Music: Climb by Shane Ivers - https://www.silvermansound.com-Follow us on Instagram https://www.instagram.com/thenemetontwpod/Email- thenemetontw@gmail.com

Whether you are shipping a meal kit, frozen pet food, or flowers, perishable freight requires a unique mix of on-time-delivery and temperature control - all in a parcel-sized box. During this fireside chat, learn how Juan Meisel from Grip overcame challenges when building the logistics arm of ButcherBox and founded a technology business with the goal of eliminating spoiled meat and improving logistics for frozen and refrigerated ecommerce products. Juan Meisel - Founder & CEO - Grip Spencer Piland - CFO & COO - FreightWaves Learn more about your ad choices. Visit megaphone.fm/adchoices

Whether you are shipping a meal kit, frozen pet food, or flowers, perishable freight requires a unique mix of on-time-delivery and temperature control - all in a parcel-sized box. During this fireside chat, learn how Juan Meisel from Grip overcame challenges when building the logistics arm of ButcherBox and founded a technology business with the goal of eliminating spoiled meat and improving logistics for frozen and refrigerated ecommerce products. Juan Meisel - Founder & CEO - Grip Spencer Piland - CFO & COO - FreightWaves Learn more about your ad choices. Visit megaphone.fm/adchoices

"Ideas are immortal. They last forever. What doesn't last forever is inspiration. Inspiration is like fresh fruit or milk: it has an expiration date,” - from Rework, by Jason Fried and David Heinemeier HanssonOn this episode, Jason Fried and David Heinemeier Hansson, the Co-founders of 37signals, sit down with host Kimberly Rhodes to share their perspective on the fleeting nature of inspiration with insights from the chapter called "Inspiration is Perishable" in their book, Rework.Listen in to discover why Jason and David liken inspiration to rocket fuel and offer advice to prevent smothering your best ideas with unnecessary tasks. They also explore team motivation and share the secret behind their enduring 20+ year working relationship. Tune in to learn how to seize the moment when inspiration strikes, make the most of it, and avoid wasting its potential. Check out the full video episode on YouTubeShow Notes:  [00:00] - Kimberly introduces the topic of the show today, from the book, Rework, the conversation is about the chapter called, "Inspiration is Perishable." [00:31] - Jason shares how to filter out which ideas are truly worthwhile and which ones are not. [01:48] - Inspiration is kind of like rocket fuel. David shares why he feels it's important to act during the inspiration phase and which factors make inspiration perish most quickly. [04:37] - New projects need intense inspiration and a sprint mindset. [05:43] – How not to suffocate your inspiration right at the start. Jason shares why you should jump into action. [06:37] - Many successful ideas started as imperfect ones. David shares the key to making them successful. [07:33] - Inspiration ebbs and flows, Jason shares the key to knowing when a project is over and some advice from a piece he wrote called Faith in Eventually. [09:38] - Motivation is a valuable driver of success. David shares his philosophy on why you should prioritize the idea that excites you the most (even if it looks worse on paper).[10:37] - Don't squander motivation on doubt—the importance of following your gut. [12:48] - Kimberly asks how David and Jason get the team excited and fired up for their new ideas. [13:13] - Everyone doesn't have to be rah-rah fired up all the time. Jason shares his advice on what to focus on to keep a project progressing.[15:02] - Not everyone needs to be a visionary; there's a division of labor. David shares the need for a clear direction and decision-makers in every project.[17:11] - Kimberly asks if David and Jason tend to share inspiration simultaneously or have alternating phases of inspiration. [17:29] - Jason highlights where he and David have different areas of focus and the crucial areas where they come together in alignment. [18:29] - The balance between individual creativity and a unified vision. David shares what has helped them maintain their 20+ year working relationship and where they come together to collaborate.  [19:44] - Tune in next week for the special guest episode with the person chosen to share their underdog story.  Rework is a production of 37signals. You can find show notes and transcripts on our website. Full video episodes are available on YouTube and X [formerly known as Twitter). If you have a question for Jason or David about a better way to work and run your business, leave us a voicemail at 708-628-7850 or email, and we might answer it on a future episode.  Links and Resources:From Jason's HEY World: Faith In Eventually From David's HEY World: Inspiration is Perishable Rework bookThe Rework Podcast on YouTubeBooks by 37signalsSign up for a 30-day free trial at Basecamp.comHEY World | HEY The REWORK podcastThe 37signals Dev Blog37signals on YouTube@37signals on Twitter 37signals on LinkedIn 

In the end, the entire purpose of the system is to protect itself, and your system membership card is perishable, Joe. Momentum is a powerful thing and right now, it's all against Joe Biden. Democrats putting people into boxes: are you an ally or an enemy? They want the genocide of billions to be peaceful. Prediction: this is the beginning of the end for the Biden Crime Family.See omnystudio.com/listener for privacy information.

Peddling Perishable Products launches this fall. Here's the calendly link to get more information: https://calendly.com/sunnymarymeadow/peddling-perishable-products