Podcasts about PID

Welcome to Schauer Thoughts, this week we'll be dissecting the “MAHA Report” as well as it's strategy and “MAHA ELEVATE” proposal. Please know that there will be several more parts to this series so if there's anything you think I didn't get to or is worth emphasizing, I will absolutely be doing follow-ups and want you to hang tight - I very much hear and mirror your concern. Researching this episode has been heartbreaking like none other and I just appreciate you all taking the time to listen. Please review the sources below for all information, it is of the utmost importance right now that we all stay informed. Download Hily Dating App from the App Store or Google Play, or visit ⁠https://hily.go.link/jRMKW I do also plan on searching for actionable items and ways to recognize front groups, but I do need some time to collect and format that information. Please know that hope is never lost.  Nuance: I do apologize for my poor pronunciation of some medical conditions and other words, I am someone who loves to research outside of a school context so I don't get to hear most of these words spoken out loud by others. I foresee some red-hat-supporters running with this point for “evidence” of me being unintelligent and I'm covering my bases for when that eventually happens. My main reason for pointing this out is not to prevent people making fun of my pronunciation but more of a demonstration on how predictable some people are. Reminder: I love answering questions, if you have an assumption on any of my political stances, please just ask. *Spoiler* I am not a fan of the United States military and have very strong, informed opinions. Edit for 31:50 - I accidentally referred to RFK Jr. as “JFK” - this was a mistake lol. Books: Expecting Inequity: How the Maternal Health Crisis Affects Even the Wealthiest Black Americans - Khiara M. Bridges Sweet and Deadly: How Coca-Cola Spreads Disinformation and Makes Us Sick - Murray Carpenter A History of Transgender Medicine in the United States: From Margins to Mainstream - Carolyn Wolf-Gould, Dallas Denny, Jamison Green, Kyan Lynch, Editors Enshitification: Why Everything Suddenly Got Worse and What to Do About It - Cory Doctorow Astroturfing: Manufacturing Fake Grassroots Campaigns - S Williams Gifted Books: Queer Expressions: Expressive Art and Somatic Therapy Practices for Healing Body Trauma - Wednesdae Reim Ifrach REAT, ATR-BC, CLAT Healing the Land Teaches Us Who We Are: How Indigenous Cultural Resistance Can Restore the Earth, Recover Community, and Create Sustainable Futures - Maceo Carrillo Martinet, PhD Sleep and Its Meanings: Sociocultural Investigations from Critical Sleep Studies - Edited by Diletta De Cristofaro Mad Eden - Morgan Thomas MAHA Information: The MAHA Report - https://www.whitehouse.gov/wp-content/uploads/2025/05/MAHA-Report-The-White-House.pdf The MAHA Strategy - https://www.whitehouse.gov/wp-content/uploads/2025/09/The-MAHA-Strategy-WH.pdf  MAHA ELEVATE Model - https://www.cms.gov/priorities/innovation/innovation-models/maha-elevate  Resources: US Science After a Year of Trump  https://www.nature.com/immersive/d41586-026-00088-9/index.html  Senior NIH official pushes MAHA strategy to skeptical ADA audience https://www.statnews.com/2026/06/05/ada-conference-new-orleans-richard-woychik-synergy-nih-maha/ List of Wars Involving the United States https://en.wikipedia.org/wiki/Lists_of_wars_involving_the_United_States  Poisoning the Well: How Astroturfing Harms Trust in Advocacy Organizations https://journals.sagepub.com/doi/10.1177/23294965221123808 Psychiatrists say RFK Jr's take on SSRIs is an ‘oversimplification' of the problem https://www.kpbs.org/news/health/2026/05/07/psychiatrists-say-rfk-jr-s-take-on-ssris-is-an-oversimplification-of-the-problem S&T Digital Forgeries Report https://www.dhs.gov/sites/default/files/2023-06/23_0630_st_digital_forgeries_report_signed.pdf Example of why we really need  Scientific American (2013) - Natural versus Synthetic Chemicals Is a Gray Matter  https://www.scientificamerican.com/blog/guest-blog/natural-vs-synthetic-chemicals-is-a-gray-matter/ RFK Jr. Parrots Pete Hegseth, Says America is Too Fat for War https://newrepublic.com/post/205033/rfk-jr-parrots-pete-hegseth-says-america-fat-war-dietary-guidelines-hhs  White House asks for $16B in cuts to HHS, more money for war https://healthexec.com/topics/healthcare-management/healthcare-economics/white-house-asks-16b-cuts-hhs-more-money-war World Ward Wednesday: Farm Cadets https://www.thefoodhistorian.com/blog/world-war-wednesday-farm-cadets RFK Jr. talked about ‘reparenting' kids on wellness farms. We visit one that inspired him. https://www.npr.org/2026/04/29/nx-s1-5798733/rfk-jr-addiction-treatment-centers Up to 70% of Farmworkers Not Returning to California Farms following ICE Raids https://www.thepacker.com/70-farmworkers-not-returning-california-farms-following-ice-raids  ICE raids have deterred foreign farm workers, but farmers hope to make hiring easier https://www.npr.org/2025/12/02/nx-s1-5604903/ice-raids-have-deterred-foreign-farm-workers-but-farmers-hope-to-make-hiring-easier Automatic military draft registration takes effect in December. Here's how it would work https://www.cnn.com/2026/04/09/politics/us-military-draft-registration-2026 Selective Service - Who Must Register https://www.sss.gov/wp-content/uploads/2025/01/WhoMustRegisterChart_1-28-25-2.pdf   Military Medical Information Nuance Reminder: I am well aware that there are people in the US military that currently have these disorders/ diseases/ conditions, my *quite specific* emphasis is on the formal documentation and/or diagnosis (it's been medically charted by a physician) of these conditions PRIOR to entering the United States military. Apologies for the aggressive nuance, as someone raised around the military, I just know ~ deep in my soul ~ that someone is going to be so tempted to say “my boyfriends in the Army and he has ADHD!!” I'm very happy for y'all, but again, documented and/or diagnosed before entering the United States military.  Circular No. 100, War Department, Provost Marshal General's Office, Washington, November 9, 1863 - Annual Report of the Secretary of War, Washington: Government Printing Office, 1856 https://www.google.com/books/edition/Report_of_the_Secretary_of_War_which_Acc/EMVOAQAAMAAJ?gbpv=1 To find the information I was discussing go to page 74. Defects Found in Drafted Men (1919) https://collections.nlm.nih.gov/bookviewer?PID=nlm:nlmuid-9502639-bk To find the information I was discussing, go to page 49. Unfit for Service: Physical Fitness and Civic Obligation in World War II https://www.nps.gov/articles/000/unfit-for-service-physical-fitness-and-civic-obligation-in-world-war-ii.htm  Iraq War and Afghanistan  https://dmna.ny.gov/hro/agr/army/files/1557332720--AR%2040-501%20Standard%20of%20Medical%20Fitness.pdf  Current (2026) Disqualifying Conditions https://www.esd.whs.mil/Portals/54/Documents/DD/issuances/dodi/613003_vol1.PDF?ver=8i9QED7mH4XAA4zoSSIwZA%3D%3D  Military Command Exception https://www.health.mil/Military-Health-Topics/Privacy-and-Civil-Liberties/HIPAA-Compliance-within-the-MHS/Military-Command-Exception  Can You Join the Military with ADHD? https://www.additudemag.com/can-you-join-the-military-with-adhd/ Learn more about your ad choices. Visit podcastchoices.com/adchoices

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

Webinaire  : actualités dans l'hypertension Pulmonaire associée aux pneumopathies interstitielles diffuses du 26 mai 2026 Modérateurs : Pr D. Montani (Le Kremlin-Bicêtre) et Pr V. Cottin (Lyon) • L'hypertension pulmonaire, un tournant dans l'évolution des pneumopathies interstitielles diffuses Dr Simon Valentin  • HTP associées aux PID, chez qui la détecter et comment ? Objectif : préciser les examens de dépistage, les populations à risque, le parcours de soins optimal et la place des centres experts OrphaLung et PulmoTension. Dr Marianne Riou • Quelle prise en charge en 2026 ? Dr  Ségolène Turquier

Webinaire: actualités dans l'hypertension Pulmonaire associée aux pneumopathies interstitielles diffuses du 26 mai 2026 Modérateurs : Pr D. Montani (Le Kremlin-Bicêtre) et Pr V. Cottin (Lyon) • L'hypertension pulmonaire, un tournant dans l'évolution des pneumopathies interstitielles diffuses Dr Simon Valentin  • HTP associées aux PID, chez qui la détecter et comment ? Objectif : préciser les examens de dépistage, les populations à risque, le parcours de soins optimal et la place des centres experts OrphaLung et PulmoTension. Dr Marianne Riou • Quelle prise en charge en 2026 ? Dr  Ségolène Turquier

Webinaire: actualités dans l'hypertension Pulmonaire associée aux pneumopathies interstitielles diffuses du 26 mai 2026 Modérateurs : Pr D. Montani (Le Kremlin-Bicêtre) et Pr V. Cottin (Lyon) • L'hypertension pulmonaire, un tournant dans l'évolution des pneumopathies interstitielles diffuses Dr Simon Valentin  • HTP associées aux PID, chez qui la détecter et comment ? Objectif : préciser les examens de dépistage, les populations à risque, le parcours de soins optimal et la place des centres experts OrphaLung et PulmoTension. Dr Marianne Riou • Quelle prise en charge en 2026 ? Dr  Ségolène Turquier

Webinaire: actualités dans l'hypertension Pulmonaire associée aux pneumopathies interstitielles diffuses du 26 mai 2026 Modérateurs : Pr D. Montani (Le Kremlin-Bicêtre) et Pr V. Cottin (Lyon) • L'hypertension pulmonaire, un tournant dans l'évolution des pneumopathies interstitielles diffuses Dr Simon Valentin  • HTP associées aux PID, chez qui la détecter et comment ? Objectif : préciser les examens de dépistage, les populations à risque, le parcours de soins optimal et la place des centres experts OrphaLung et PulmoTension. Dr Marianne Riou • Quelle prise en charge en 2026 ? Dr  Ségolène Turquier

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Kausi 3, jakso 19. Pidätkö jumalanpalvelusta tylsänä? Kuunneltuasi tämän jakson saatat edelleen ajatella niin, mutta ymmärrät siitä hiukan enemmän. Timo ja Lasse pohtivat, kuinka kaavan eri osat ovat osa vuosituhantista ketjua.Armon anatomiaa on podcast, jossa studioon istutetaan yksi pappi, perheenisä ja aviomies Pohjanmaalta (Lasse Pesu) ja toinen Savo-Karjalasta (Timo Liiri) ja heidät laitetaan keskustelemaan kristinuskon eri sisällöistä. Joka jakson tarkoituksena on ottaa jokin uskoon liittyvä teema ja katsoa, mistä se koostuu, mitä se merkitsee ja mitä kaikkea annettavaa sillä on meille.Tue podcastin tekemistä MobilePay-numerolla 25322. Rahankeräyslupa: https://sro.fi/rahankerayslupa/

Hiring one remote employee in another state changes everything from a tax standpoint.The same goes for selling products or services across state lines. Once your business creates a connection to another state, that state may expect you to register, file, collect taxes, or handle payroll compliance there.In this episode, Mike sits down with Nellie Akalp, CEO and Co-Founder of CorpNet, to break down state tax nexus in plain English. They explain what creates nexus, why remote employees and multi-state sales can trigger tax obligations, and what business owners need to do to avoid penalties, back taxes, and compliance headaches.

Mortgage rates may be headed back toward 7% — but why?Today on The Rate Update, we're breaking down what is happening with mortgage rates, oil prices, Iran, bond yields, the 10-Year Treasury, and the bigger question every homebuyer and homeowner is asking right now:Are rates going higher again — and what should you do next?We'll connect the dots between global headlines and your actual mortgage payment, including:• Why oil prices matter to mortgage rates• How Iran/geopolitical risk can affect inflation fears• Why bond yields and the 10-Year Treasury are moving• What this means for homebuyers watching affordability• What homeowners should know if they're waiting to refinance• How to monitor rates instead of guessingIf you're buying a home, refinancing, or trying to understand where mortgage rates may go next, this show is built for you.LIVE weekdays at 9:00 AM Central Time.No hype. Just real data.

Are you shopping for a mortgage rate the wrong way?Most homebuyers are told to “shop around” for mortgage rates — so they go to Bankrate, LendingTree, or other online rate sites, enter their information, compare teaser rates, and hope they're getting the best deal.But the lowest advertised mortgage rate is not always the best mortgage deal.In this video, I take you behind the scenes and show how we compare your loan across 30+ lenders using one application and one credit pull — instead of sending your information all over the internet.We break down why mortgage rates vary based on credit score, down payment, income, loan program, property type, and whether you qualify for affordable mortgage programs. I also show examples comparing Conventional, FHA, and VA loan options so you can see why the “best rate” depends on your full financial picture — not just one advertised number online.You'll also see how points, lender fees, and hidden costs can make a low rate much more expensive than it looks.In this video, we cover:✅ How we compare your loan to 30+ lenders✅ Why one application and one credit pull matters✅ Why online mortgage quotes can be misleading✅ Why points and fees matter as much as the rate✅ How credit score impacts mortgage pricing✅ Conventional vs. FHA vs. VA loan examples✅ How RateWatch 2.2 can track refinance savings✅ How to upload your Loan Estimate for a second opinion

LIVE WEEKDAYS AT 9AM — THE RATE UPDATE WITH DAN FRIOMortgage rates move for a reason — and every weekday morning, we break down what is driving them.Today's Rate Update recaps what is happening right now with mortgage rates, the bond market, the 10-Year Treasury, mortgage-backed securities, inflation concerns, oil prices, and the economic headlines that matter to homebuyers, homeowners, and real estate professionals.Every weekday at 9AM, we go live to look at the market data behind mortgage rates — not hype, not guessing, just plain-English analysis of what is moving the market and why it matters.Today's video:https://youtube.com/live/Cy3CqRURnUYCHAPTERS00:00 — Opening Bell: Mortgage Rates & Market Setup01:15 — Why Mortgage Rates Move Every Day03:00 — 10-Year Treasury & Bond Market Reaction05:00 — Mortgage-Backed Securities Explained07:00 — Inflation, Oil Prices & Rate Pressure09:30 — What Homebuyers Need to Watch Today12:00 — What Homeowners Should Know About Refinancing14:30 — Real Estate Market Takeaways16:30 — Final Thoughts & Next StepsWHAT WE COVER LIVE EACH MORNING• Mortgage rates today• The 10-Year Treasury• Mortgage-backed securities• Inflation data• Jobs reports• Federal Reserve expectations• Oil prices• Stock market movement• Housing and real estate news• Economic headlines that may impact mortgage ratesMy goal is simple: help you understand what's happening, why it matters, and how it may affect your next move as a buyer, homeowner, or real estate professional.No hype. No guessing. Just real market data explained in plain English.

99% chance of NO Fed rate cut?In today's video, we break down why the Federal Reserve may not be ready to cut interest rates — even though homebuyers, homeowners, and the housing market are all waiting for relief.The big issue: the economy is still too strong, inflation is still too sticky, and the Fed does not want to cut too early and risk reigniting inflation.That matters because the Fed does NOT directly set mortgage rates — but Fed policy, inflation, the 10-Year Treasury, and mortgage bonds all help drive where mortgage rates move next.So if you're waiting for mortgage rates to drop before buying a home or refinancing, this is the data you need to understand.Watch here:https://youtu.be/mXfhEySRie8

Mortgage Rates Just Hit a Critical Week — Jobs, Inflation & What Buyers Should Expect Next

Oil is dropping — and that could be a big deal for mortgage rates.In today's Rate Update, we're looking at why oil prices matter so much for homebuyers and homeowners watching mortgage rates.Oil is one of the biggest inflation pressure points in the economy. When oil spikes, inflation fears can rise, bond yields can move higher, and mortgage rates can feel the pressure. But when oil starts falling, the opposite can happen — inflation pressure may cool, bonds may improve, and mortgage rates may get some relief.Mortgage rates dropped yesterday, and now the big question is whether this is the start of a bigger move lower or just a short-term reaction.Today we're watching oil, the 10-Year Treasury, mortgage-backed securities, jobs data, and the broader market reaction.If oil keeps sliding back toward the $60–$65 range, mortgage rates may have room to follow lower. But if jobs data comes in too strong or inflation pressure stays sticky, that could slow down the move.For homebuyers, this is why preparation matters. For homeowners, this is why tracking refinance opportunities matters. The market can move quickly — and understanding what drives mortgage rates can help you make better decisions.CHAPTERS00:00 Mortgage rates are reacting to oil00:42 Why oil matters for mortgage rates01:35 Oil prices are falling02:28 The inflation connection homeowners need to understand03:20 Mortgage rates dropped yesterday04:05 Can rates move back toward the high-5s?05:05 Today's economic data to watch06:00 Jobs, claims, payrolls, and bond market reaction07:05 What homebuyers should do right now08:00 What homeowners watching refinance rates should know08:40 Final takeaway: watch oil, bonds, and rates

**How Much House Can You Really Afford? This App Makes It Easy | LIVE**Welcome to **The Rate Update with Dan Frio**.Today, we're revealing the **TRU Home Buyer Power App** — a tool built to help homebuyers and homeowners cut through the confusion and figure out what they may really afford.In this live event, I'll walk you through how the app helps you:* estimate your buying power* compare loan options* review possible monthly payments* take the next best step with more confidenceIf you've been frustrated by all the online calculators that throw numbers at you but don't really help, this tool was built for you.**Watch Live Here:**https://youtube.com/live/xza7zQlGOt4**Try the TRU Home Buyer Power App:**https://truhomebuyerapp.lovable.app/**What we'll cover today:*** How much house you may really afford* What loan program may fit you best* What your monthly payment could look like* Why most online calculators miss the mark* How to use the app step by stepThis tool is designed to make the home buying process easier, clearer, and more practical for real people trying to make smart decisions.**NEXT STEPS**

Mortgage rates are under pressure again — and this time the trigger is bigger than just the Fed.In today's video, I break down why the mortgage market just got dangerous, how rising oil prices, Iran / Strait of Hormuz tensions, inflation fears, the 10-Year Treasury, and mortgage-backed securities are all working together to push rates higher.If you're buying a home, refinancing, or trying to decide whether to lock or float, this is the kind of market you need to understand before making a move.Today we cover:• Why mortgage rates are moving higher• What the MBS / mortgage bond chart is telling us• How oil prices impact inflation and mortgage rates• Why Iran and the Strait of Hormuz matter to U.S. homebuyers• What the 10-Year Treasury is signaling• Why strong corporate earnings may not automatically help rates• Whether today's market favors locking or floating• What homeowners and buyers should watch nextThe big takeaway: mortgage rates do not move just because of the Fed. They move because of the bond market — and right now the bond market is watching oil, inflation, war risk, economic data, and Treasury yields.If you are closing soon, this is not a lazy float market. If you are shopping for a home or considering a refinance, make sure you understand the numbers before you make a decision.

Mortgage rates are not getting much help from the Federal Reserve right now.This week, the Fed held rates steady again — and with inflation coming in around 3.5% while the Fed's long-term target is still 2%, the message is pretty clear:Rate cuts are not likely coming soon.So what does that mean for homebuyers, homeowners, and anyone waiting for mortgage rates to drop?In this video, I break down what happened this week, why inflation matters so much to mortgage rates, why the Fed is staying patient, and why mortgage rates may stay higher or flatter for a while.More importantly, we'll talk about what you should actually do next — whether you're buying a home, thinking about refinancing, or just trying to understand when rates may finally improve.No hype. No panic. Just real data and practical advice.CHAPTERS00:00 Mortgage rates and the big question this week00:35 The Federal Reserve holds rates steady01:20 Why inflation at 3.5% changes the outlook02:10 The Fed wants 2% inflation — and we are not there yet03:00 Why rate cuts are unlikely right now03:55 What this means for mortgage rates04:45 Could rates stay flat for a while?05:35 What homebuyers should do next06:25 What homeowners and refinancers should watch07:15 Final takeaway: don't wait without a plan

Fed Governor Powell Does NOT Step Down — What Next for the Fed, Mortgage Rates, Homebuyers & Homeowners?No he didn't.Jerome Powell is stepping down as Federal Reserve chairman — but he is not leaving the Federal Reserve.In this video, I break down Powell's rare decision to remain on the Federal Reserve Board of Governors after his chair term ends, why this matters for Fed independence, what it could mean for the next Fed chair, and how the bond market may react.And most importantly — what does this mean for mortgage rates, homebuyers, homeowners, and anyone waiting for rates to finally move lower?The Fed just held interest rates steady again, inflation remains a concern, energy prices are pressuring the economy, and the market is trying to figure out whether rate cuts are still coming — or whether mortgage rates could stay higher for longer.Today we're covering:Why Powell is stepping down as chair but staying at the FedWhy this is historically rareWhat this means for the next Fed chairHow markets may reactWhy mortgage rates do not follow the Fed directlyWhat homebuyers and homeowners should watch nextWhether this changes the outlook for rate cuts and refinance opportunitiesThe big question now:Does Powell staying at the Fed create stability — or more uncertainty for mortgage rates?No hype. Just real data.Chapters00:00 No He Didn't — Powell Is Not Leaving the Fed00:35 Powell Steps Down as Chair, But Stays as Governor01:25 Why This Fed Move Is Historically Rare02:20 What Powell Said About Not Being a “Shadow Chair”03:15 Why Fed Independence Is the Bigger Story04:20 What This Means for the Next Fed Chair05:30 The Fed Holds Rates Steady Again06:35 Inflation, Oil Prices, and the Fed's Problem07:45 Why Mortgage Rates Don't Follow the Fed Directly08:55 Treasury Yields, Bonds, and Market Reaction10:05 What Homebuyers Should Watch Next11:15 What Homeowners and Refinancers Should Do Now12:25 Final Takeaway: Stability or More Rate Uncertainty?

The Rate Update — Here's Why the Fed Can't Cut Rates (Yet)The Federal Reserve meets today — and the big question for homeowners and homebuyers is simple:Why can't the Fed cut rates yet?Even if inflation is cooling in some areas, the Fed still has a problem. Core inflation, mortgage rates, Treasury yields, oil prices, jobs data, and market expectations all matter. And today may be especially important because this could be one of Jerome Powell's final Fed meetings as Chair.In this episode, we break down what the Fed is likely to do, what Powell may say after the meeting, why the market may move more on his press conference than the rate decision itself, and what it could mean for mortgage rates, homebuyers, homeowners, and anyone trying to decide whether to lock, float, buy, wait, or refinance.Today's key question:

Mortgage rates are starting the week near recent lows — but this could be a major turning point.This week, the Federal Reserve meets, oil prices are back in focus because of Iran headlines, and several major economic reports could move the bond market, Treasury yields, mortgage-backed securities, and ultimately mortgage rates.In today's Rate Update, I break down:✅ Where mortgage rates are right now✅ Why the Federal Reserve announcement matters this week✅ How oil prices and Iran headlines can impact inflation expectations✅ Why inflation is still a key driver for mortgage rates✅ What buyers should consider before locking or floating✅ What homeowners should know if they're waiting to refinanceMortgage rates do not move in a vacuum.They are affected by inflation, Federal Reserve policy, the 10-year Treasury, mortgage-backed securities, oil prices, geopolitical risk, and economic data.So if you're buying, refinancing, or waiting for rates to drop, this is a week where you need to understand the WHY behind the market — not just the headline mortgage rate.CHAPTERS00:00 Mortgage Rates and the Fed This Week00:28 Why This Is a Big Week for Rates01:00 Where Mortgage Rates Are Today01:45 The Command Center: Rates, Bonds, and the 10-Year Treasury02:25 Why Oil and Iran Matter to Mortgage Rates03:15 How Inflation Impacts Mortgage Rates03:50 Federal Reserve Meeting Expectations04:30 Economic Calendar: What Could Move Rates This Week05:25 What Homebuyers Should Watch Before Locking06:05 What Homeowners Should Know About Refinancing06:45 Don't Guess — Track Your Target Rate07:15 Final Thoughts and Next Steps

TRU Rate Update — Fed Rate Decision Could Save—or Sink—Your Mortgage RateWatch here: https://youtu.be/WQLrrZ9eY8cMortgage rates have improved recently — but next week's Federal Reserve decision could determine whether that relief continues… or whether rates move higher again.In today's episode, Dan Frio breaks down what the Fed is facing right now:✅ Mortgage rates have pulled back✅ Inflation is still running hotter than the Fed wants✅ Jobs numbers remain strong✅ GDP and the broader economy are holding up✅ Oil prices and geopolitical risk are adding inflation pressure✅ Homebuyers and homeowners are trying to decide whether to lock, float, buy, refinance, or waitThe big question: Can the Fed help mortgage rates — or will sticky inflation force them to stay cautious?This matters if you are buying a home, refinancing, watching home prices, trying to time the market, or simply trying to understand why mortgage rates are not falling faster.CHAPTERS00:00 Fed Decision Could Save—or Sink—Mortgage Rates00:45 Why Next Week's Fed Meeting Matters02:10 Mortgage Rates Have Improved — But Is It Temporary?03:30 Inflation Is Still the Fed's Biggest Problem05:00 Strong Jobs and GDP Keep Pressure on Rates06:30 Oil Prices and Inflation Risk08:00 Why a Strong Economy Can Hurt Mortgage Rates09:45 What Homebuyers Should Watch Now11:30 What Homeowners and Refinancers Should Do13:00 Lock, Float, Wait, or Monitor?14:30 Final Takeaway: Mortgage Rates Are Still Data-Dependent15:30 Track Your Target Rate Automatically

► ► Get Pre-Approved With My Team → https://257781.my1003app.com/246527/register► ► Schedule a Consultation → https://calendly.com/d/cq29-7xd-x3v/the-frio-team?month=2025-05► ► Contact / Ask Dan → https://www.therateupdate.com/contactTOP RESOURCES

In this episode, we go deep on a wild weekend of open hardware hacking across the 256 Foundation community. Skot walks us through getting Mujina running on an S19j Pro with Wi‑Fi via a hidden USB port, plus a USB hub and a repurposed open source touchscreen to display live hashrate, temps, and fan data—laying the groundwork for a tidy, Wi‑Fi‑connected, touchscreen miner retrofit. We also riff on AI‑assisted CAD and browser automation for rapid prototyping, and brainstorm practical home‑heating integrations: using LibreBoard as the bridge between standard 24V thermostats and miners, ramp control vs. binary heat calls, PID loops, and the real limits of tuning frequency on different firmwares and machines. Beyond the bench, we celebrate Schnitzel's Doom-on‑LibreBoard test, discuss the path to open firmware on WhatsMiners, and the hardware hacks that open firmware makes obsolete (farewell, trick boards). We hit PSU mods for 120V, LuxOS's new “ignore PSU link” option, Stratum V2 progress including BlitzPool's solo pool and non‑custodial PPLNS roadmap, and what a node‑native, open, block-template app could unlock. We close by shouting out OpenSats' Open Hardware Impact report (Bitaxe, BitShoka/BitSoka Nini), recent hardestblocks.org features, the growing roster on dash.256f.org, and community builds from BitForge Nano to filament dryers heated by hashrate. Catch the 256 crew live in Vegas next week for panels on open hardware and human rights.

Oil markets are stabilizing as the Iran ceasefire cools one of the biggest inflation risks facing mortgage rates right now.In today's episode of The Rate Update, I break down what the Iran ceasefire means for oil prices, why that matters for inflation, how the bond market is reacting, and what it could mean next for mortgage rates, homeowners, and homebuyers.If oil continues to settle down, that could remove some inflation pressure from the market. And when inflation fears ease, Treasury yields and mortgage rates can sometimes follow. That does not guarantee lower rates immediately, but it absolutely shifts the conversation and the outlook.In this video, I cover:- Why oil prices matter to mortgage rates- How Iran and Middle East tensions were affecting inflation fears- Why a ceasefire is helping calm the markets- What the bond market and Treasury yields are telling us now- What this could mean for homebuyers waiting to purchase- What this could mean for homeowners watching refinance opportunities- What to watch next if you're tracking mortgage rates day by dayIf you're a homebuyer, homeowner, realtor, or mortgage professional trying to make sense of where rates may go next, this video will help connect the dots between geopolitics, inflation, Treasury yields, and mortgage pricing.► ► Get Pre-Approved With My Team → https://257781.my1003app.com/246527/register► ► Schedule a Consultation → https://calendly.com/d/cq29-7xd-x3v/the-frio-team?month=2025-05► ► Contact / Ask Dan → https://www.therateupdate.com/contactTOP RESOURCES

**The Rate Update — Mortgage Rates Just Changed—Here's What Happens Next**Mortgage rates just changed — but the real question is: **what happens next?**Today we break down the biggest drivers moving the mortgage market right now:* **Retail sales** and what strong consumer spending means for inflation* **Employment numbers** and why a strong labor market can keep pressure on rates* **Corporate earnings** and what they're telling us about the strength of the economy* **Oil prices** and why energy may be the key variable that changes everything nextIf the economy keeps looking strong, the Federal Reserve may have less reason to cut rates quickly. But if oil pushes inflation higher, that could create even more pressure on mortgage rates and affordability.In this episode, I'll show you how all of this ties together — and what it could mean for **home buyers, homeowners, refinancers, and real estate professionals** trying to make smart decisions in this market.If you want help reviewing your options, comparing lenders, or figuring out whether now is the right time to buy or refinance, reach out below.► ► Get Pre-Approved With My Team → https://257781.my1003app.com/246527/register► ► Schedule a Consultation → https://calendly.com/d/cq29-7xd-x3v/the-frio-team?month=2025-05► ► Contact / Ask Dan → https://www.therateupdate.com/contact**TOP RESOURCES**

HCR Air Door Trials & Tribulations: Getting the Air Curtain Right (Without Losing Your Mind)In this episode of the Advanced Refrigeration Podcast, Brett and Kevin swap war stories from a week of startups and an “air door extravaganza,” breaking down how to properly set up HCR air doors in open walk-in produce and dairy boxes before summer humidity wrecks everything. They explain why dirty or plugged coils, incorrect VFD frequency, misadjusted discharge louvers, missing intake screens, and uncapped or improperly trapped drains can kill airflow, spike humidity, and lead to frosting, sweating pans, and nonstop load issues. They share practical setup targets using a vane anemometer, flagging tape (or even low-ply toilet paper), and basic hand tools, plus why building envelope and store humidity control matter as much as the door itself. They also discuss night doors, coil staging, PID response, and how “lab specs” don't survive 50,000 shoppers.

HCR Air Door Trials & Tribulations: Getting the Air Curtain Right (Without Losing Your Mind)In this episode of the Advanced Refrigeration Podcast, Brett and Kevin swap war stories from a week of startups and an “air door extravaganza,” breaking down how to properly set up HCR air doors in open walk-in produce and dairy boxes before summer humidity wrecks everything. They explain why dirty or plugged coils, incorrect VFD frequency, misadjusted discharge louvers, missing intake screens, and uncapped or improperly trapped drains can kill airflow, spike humidity, and lead to frosting, sweating pans, and nonstop load issues. They share practical setup targets using a vane anemometer, flagging tape (or even low-ply toilet paper), and basic hand tools, plus why building envelope and store humidity control matter as much as the door itself. They also discuss night doors, coil staging, PID response, and how “lab specs” don't survive 50,000 shoppers.

► ► Get Pre-Approved With My Team → https://257781.my1003app.com/246527/register► ► Schedule a Consultation → https://calendly.com/d/cq29-7xd-x3v/the-frio-team?month=2025-05► ► Contact / Ask Dan → https://www.therateupdate.com/contactTOP RESOURCES

(Aniversario del Naufragio del Titánic) Era el buque transatlántico más grande y más lujoso de la época, con capacidad para tres mil pasajeros. Pero a pesar de que sus constructores se ufanaban de que era insumergible e indestructible, se hundió después de chocar contra un iceberg cerca de la medianoche en el Atlántico Norte, a unas 400 millas al sur de Terranova, en su viaje inaugural entre Nueva York y Southampton. Trágicamente, en sus botes salvavidas sólo cabían cerca de la mitad de los pasajeros y tripulantes que iban a bordo, entre los que se encontraba la crema y nata de la sociedad inglesa y estadounidense. Cualquiera daría por sentado que se trata del Titánic, que sufrió sin duda el naufragio más conocido de la historia. Sin embargo, no sólo es una fiel descripción de aquel naufragio verídico, ¡sino también de un naufragio ficticio descrito catorce años antes! El que se lo imaginó con semejante lujo de detalles fue el escritor estadounidense Morgan Robertson en su corta novela titulada Futilidad cuando fue publicada en 1898, pero que después del verdadero naufragio del Titánic el 15 de abril de 1912 comenzó a llevar por título adicional: El naufragio del Titán. Es que ¡al buque transatlántico de su novela Robertson lo llamó Titán y lo describió como tal por lo menos nueve años antes de que la clase Olympic, a la que pertenecía el Titánic, fuera diseñada!1 Si bien hay algunas diferencias entre las dos tragedias, las discrepancias en realidad son mínimas en comparación con las asombrosas similitudes que las relacionan. De ahí que, en 1998, por tratarse del centenario del libro El naufragio del Titán, Simon & Schuster haya vuelto a publicarlo, y que el editor Simon Hewitt haya escrito en cuanto al asombroso presagio del Titánic: «Nadie puede decir a ciencia cierta si se trata de una extraña serie de coincidencias o si lo que actuó ahí fue algo mucho más enigmático». Lo cierto es que, a los ojos de Morgan Robertson, que tenía experiencia de muchos años y era un experto en la navegación de aquel entonces, su Titán literario era un símbolo de orgullo desmedido y, al igual que en el Titánic histórico, eran patentes las divisiones sociales de la época.2   Gracias a Dios, si nos arrepentimos de todo corazón y le pedimos perdón por nuestra manera egoísta de pensar y de actuar, en el umbral de la muerte Él no nos guardará rencor por haber sido orgullosos al extremo de creer que no lo necesitábamos a Él en nuestra vida, ni nos echará en cara el habernos creído superiores a otras personas, ya fuera por su condición física, económica o social, a pesar de lo mucho que Él, como Padre nuestro, aborrece tales actitudes. Más vale entonces que hagamos lo que hicieron quién sabe cuántos de aquellos que perecieron en las gélidas aguas del Atlántico aquella trágica noche de abril mientras escuchaban a la banda del Titánic tocar el himno que dice: «Quiero estar más cerca de ti, mi Dios». Pidámosle a Dios perdón por todo pecado que hayamos cometido contra Él y contra nuestros semejantes antes de que sea demasiado tarde. Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 Wikipedia, s.v. «Clase Olympic» En línea 16 octubre 2019. 2 F.B., «Titán, Titanic», El Mundo, 2012 En línea 11 octubre 2019; Debra J. Groom, «The strange tale of an Oswego man who wrote a book predicting a Titanic-like disaster ... 14 years before it happened» [La extraña historia de un hombre de Oswego que escribió un libro que predecía un desastre Titánico... 14 años antes de que sucedió], The Post-Standard, 11 diciembre 2011 (actualizado 22 marzo 2019 En línea 15 octubre 2019.

Welcome to **The Rate Update with Dan Frio**.Here, I break down **mortgage rates, housing, inflation, the Federal Reserve, Treasury yields, and the economic news that impacts homebuyers, homeowners, and anyone thinking about refinancing**.My goal is simple: help you understand **what's happening, why it matters, and what it could mean for your next move**.Whether you're buying your first home, refinancing your current mortgage, tracking the housing market, or just trying to make sense of today's financial headlines, you're in the right place.

Welcome to **The Rate Update with Dan Frio**.Here, I break down **mortgage rates, housing, inflation, the Federal Reserve, Treasury yields, and the economic news that impacts homebuyers, homeowners, and anyone thinking about refinancing**.My goal is simple: help you understand **what's happening, why it matters, and what it could mean for your next move**.Whether you're buying your first home, refinancing your current mortgage, tracking the housing market, or just trying to make sense of today's financial headlines, you're in the right place.

Consumer prices just came in at 3.3%, and the driver is clear — energy.Oil surged from $60 to $110 amid rising tensions tied to the Iran conflict.But here's the real question…

Consumer prices just came in at 3.3%, and the driver is clear — energy.Oil surged from $60 to $110 amid rising tensions tied to the Iran conflict.But here's the real question…

Something shifted for us this year: the more we commit to doing less, the more we're actually building. Nikki, Courtney, and Allie get together for a real catch-up on work, life, and what's next for Automation Ladies, with stories that range from bigger robotics and better work-life balance to a brand-new view outside a bayou window in Louisiana.We also dig into OT SCADA CON and why it keeps feeling more like a community than a conference. OT SCADA CON runs July 22-24 at the Endress+Hauser Houston Campus in Pearland (south of Houston), and we share what's new this year: fresh speakers, updated sections, the same 30-minute talk format, and the kind of fun that makes people stay late (taco trucks and karaoke included). If you care about operational technology, industrial automation, controls engineering, and modern data skills, you'll especially want the part about databases and process historians and why that knowledge still runs so much of industry.Then we get practical about AI in manufacturing. No hype, no magic: we talk about where tools like Claude and OpenAI Whisper are finally saving real time, from generating documentation and polishing write-ups to building a custom raffle app that runs the way we want. We also lay out the guardrails we take seriously: review everything, don't leak sensitive information, and follow your company AI policy.We wrap with where you can find us at Automate and other events, how we're expanding the show with more correspondents, and our push for more live demo episodes (including a PID loop tuning software demo). Subscribe, share this with an automation friend, and leave a review so more people can find women-led conversations in industrial automation.Support the show__________________________________________________________________

Hey — Dan Frio here, licensed mortgage loan officer in all 50 states and Puerto Rico.My goal is simple: help you understand mortgage rates — and more importantly, the WHY behind what's happening.

Hey — Dan Frio here, licensed mortgage loan officer in all 50 states and Puerto Rico.My goal is simple: help you understand mortgage rates — and more importantly, the WHY behind what's happening.

Vaginal discharge questions are “three-line trap” questions: a short stem with just enough detail to mix up BV, candidiasis, and trich. Add cervicitis, PID, cervical cancer screening, Bartholin masses, and inclusive sexual history… and a lot of smart PA students still miss points they don’t need to miss. In this episode, we walk through how […] The post 162: Stop Missing Vaginal Discharge & PID Questions on Exams appeared first on Physician Assistant Exam Review.

Un ejército furioso, todo de testigos falsos, donde es capitán la envidia, y el alférez el engaño, de acero, miedo y mentiras para sólo un hombre armados, a Cristo presenta a Anás puesto a la garganta un lazo. «¿Quién eres, hombre? —le dice—. ¿De qué vives? ¿Qué es tu trato? ¿Qué discípulos te siguen? ¿En qué ciencias eres sabio?» Jesús, de paciencia ejemplo, responde, los ojos bajos, con ser el más alto espejo de su Padre soberano: «Yo siempre hablé claramente, con mi doctrina enseñando en público, que en secreto no es la comisión que traigo. »¿Qué me preguntas a mí? Pues que puedes preguntarlo a tantos que me han oído; que ellos saben lo que trato.» «¿Así respondes?», le dijo, alta la mano, un soldado, y dio a Cristo un bofetón que dejó el cielo temblando. «Si hablé mal, da testimonio —responde el Cordero manso—, y si bien, ¿por qué me hieres?» ¡Ay, cielos, vengad su agravio! . . . . . . . . . . Cristo mío de mi vida, ¿cómo si soy el esclavo señalan tu hermoso rostro los dedos de aquella mano? Bendiga tu amor el cielo, que yo, mi Jesús, no basto, pues siendo los yerros míos, quieres Tú tener los clavos. [Por ti perdonar prometo]... a quien me hubiere injuriado, imitando la respuesta de tus labios soberanos. . . . . . . . . . . ... Perdonaremos injurias, pues Tú nos has enseñado a pedir que nos perdonen del modo que perdonamos.1 Así describe el poeta español Lope de Vega las afrentas que sufrió Jesús de Nazaret la noche en que fue arrestado y sometido a juicio ante el sumo sacerdote Anás. Según el filólogo José Manuel Blecua, vigesimonoveno director de la Real Academia Española, fue «la honda crisis que llevó a Lope al sacerdocio» lo que a su vez lo llevó a publicar sus Rimas sacras2 en 1614. Lope mismo lo reconoce en el «Soneto Primero» de la obra, como sigue: Cuando me paro a contemplar mi estado y a ver los pasos por donde he venido, me espanto de que un hombre tan perdido a conocer su error haya llegado. Cuando miro los años que he pasado, la divina razón puesta en olvido, conozco que piedad del cielo ha sido no haberme en tanto mal precipitado.3 Con razón que al poeta le parezca tan injusto que sea Jesucristo y no él quien tenga que soportar semejantes afrentas. Lope es un hombre débil, como los demás sacerdotes,4 esclavo de sus propios errores. En cambio, Cristo es nuestro sumo sacerdote «hecho perfecto para siempre... santo, irreprochable, puro [y] apartado de los pecadores».5 Más vale que, así como aquel autor de las Rimas sacras, también nosotros reconozcamos que somos pecadores. Pidámosle perdón a Cristo, quien puede y quiere salvarnos para siempre de nuestros pecados, ya que vive siempre para interceder por nosotros, y determinemos seguir su ejemplo y perdonar a quienes nos ofenden.6 Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 Lope de Vega, «Rimas sacras», Obras poéticas, Ed. José Manuel Blecua (Barcelona: Editorial Planeta, 1989), pp. 393-96. 2 Ibíd, p. 275. 3 Ibíd, p. 296. 4 Heb 7:28 5 Heb 7:26-28 6 Heb 7:25

Listen in as we talk with Jeanice Waird as she shares her journey in veterinary medicine. She takes us through the highs and lows and lessons learned through multiple veterinary practices and shares her path to self-compassion and finding the importance of emotional wellbeing.    As always, we want to hear from YOU. Please share your thoughts by sending an email or joining the conversation.   GUEST BIO: Jeanice Waird, M.Ed., B. Tech, CVT, CCFP Jeanice attended the State University of New York at Canton, obtaining her associate of science in veterinary technology and her bachelor's in veterinary service management. She was an active member of the New York State Air National Guard from 2004-2010 as a Command Post Controller, providing emergency communications and status reports to the commander and personnel on Hancock Air Force Base. She's been a certified veterinary technician since 2007 and has worked in various field areas: general practice, academia (University of Illinois), diagnostic imaging, intensive care, and equine/farm animal medicine. She has held many roles within vet med: receptionist, technician, lead technician, charge auditor, and practice manager. While at the University of Illinois, Jeanice obtained her Master of Education, focusing on human resource development, and is a graduate of the Emerging Women Leaders program offered by the University. She previously served as the ISVMA CVT board member from 2021-2023 and actively participated in the CVT committee. She is currently focusing on her role as the assistant director for VSPN and offering mental health and wellness education to veterinary professionals through her business, Veterinary Wellness Education, LLC, or VetWE for short. Her non-professional interests include spending time with her husband, two sons, a spoiled cat, and a troublesome dog. She enjoys meditation, gardening, hiking, yoga, pole fitness, dancing, and loud music. Her favorite music artist is Qveen Herby. Jeanice is passionate about moving the veterinary profession toward a more individual-focused framework, allowing space and grace for all professionals to grapple with and heal from the difficult experiences we all encounter within the field and the daily struggles that all humans encounter throughout their lifetimes. She is particularly interested in teaching, psychology, compassion fatigue, cognitive behavioral therapy, growth mindset, and mental health awareness. LINKS AND INFORMATION: Veterinary Support Personnel Network (VSPN): https://www.vin.com/vspn/ VSPN CE: https://www.vin.com/vspn/default.aspx?pId=8505&id=8286322 Air National Guard: https://www.airforce.com/ways-to-serve/air-national-guard VIN Foundation Vets4Vets®: https://vinfoundation.org/v4v AVMA QPR Training: https://www.avma.org/resources-tools/wellbeing/qpr-suicide-prevention-training Please consider a gift to help support this podcast: https://vinfoundation.org/give Get updates to stay tuned for the VIN Foundation webinars on student debt.  You may learn more about the VIN Foundation, on the website, or join the conversation on Facebook, Instagram, or LinkedIn. If you like this podcast, we would appreciate it if you follow and share. As always, we welcome feedback. If you have an idea for a podcast episode, we'd love to hear it!