Podcasts about escalate

Ray McGovern : Will Russia Escalate?See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Israel's isolation deepens; measures escalate to consolidate control over occupied Palestine by Radio Islam

June 22, 2026 ~ Lara Korte breaks down the latest developments with Iran and what it could mean globally as tensions continue to rise. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Former Ventruss frontman Ben Jewell joins The Sound 228 for an honest and in-depth conversation about his musical journey, personal growth, and exciting new chapter as a solo artist. Ben shares the story behind his debut solo single "Let Me See," featuring Jared Gomes of Head PE and former Ventress guitarist Sean Seizaw. He opens up about the challenges he faced after Ventress, the struggles that nearly pushed him away from music, and how collaborations with Butcher Babies, Escalate, and Midst of War helped reignite his passion. We also dive into: • The creative process behind "Let Me See" • Working with Butcher Babies on their Open Verse Challenge • His move from Louisiana to Kansas City • Vocal training and expanding his songwriting abilities • The emotional meaning behind his new music • Collaborations with Midst of War and other artists • Building a new band and what the future holds This episode is packed with inspiration, behind-the-scenes stories, and a look at the next chapter of one of the Gulf Coast rock scene's most recognizable voices. Follow Ben Jewell on all streaming platforms and social media to stay up to date on new music and upcoming announcements.

Ray McGovern : Will Russia Escalate?See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

June 12, 2026 ~ Kevin Dietz talks with Rocky Raczkowski about the latest developments in Iran and what it could mean for U.S. involvement moving forward. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Ryan talks to ABC News Correspondent Jordana Miller about a second straight day of military exchanges between the United States and Iran, including a new round of U.S. strikes and reported Iranian retaliatory attacks in the region. The discussion also covers President Trump's claim that the U.S. secretly removed millions of barrels of oil from Iran.See omnystudio.com/listener for privacy information.

In today's episode of Trending Middle East, the US has carried out a second consecutive night of strikes on Iran, while President Donald Trump warns Tehran to accept a deal or face further military action. Iran responded with attacks on US military targets in the region, prompting security alerts in Bahrain and the temporary closure of Kuwaiti airspace. At the UN, Iran says no sustainable agreement can be reached through threats or the use of force, as diplomatic efforts come under increasing pressure. In Lebanon, local officials accuse Israeli forces of abducting two civilians from a southern border village, while a drone strike in Sidon raises concerns that the conflict is spreading further north. Sheikh Mohammed bin Rashid, Vice President and Ruler of Dubai, has launched the Dubai Authority for Healthy Longevity, a new body aimed at positioning the emirate as a global centre for advanced health care, biotechnology and longevity research. And a leading UAE businessman announces a Dh1 million ($270,000) support fund for families affected by Sunday's fatal Dubai road crash, providing assistance to relatives of those killed and survivors recovering from their injuries. Trending Middle East is AI-assisted, using original reporting published in The National and curated and edited by humans.

Peter Huessy discusses US plans to deploy nuclear-capable F-35s in Europe to counter Russian threats. He explains Russia's "escalate to win" doctrine involving low-yield battlefield nukes for "surgical" strikes. Huessy warns that Russiapossesses thousands of non-strategic weapons, far exceeding current NATO theater capabilities and its lack of transparent weaponry numbers. (15)1953 ATOMIC CANNON

Inflation soars 4.2% as the U.S.-Iran war drives up energy prices. Plus: Super Micro Computer shares tumble after the company disclosed plans to raise $7 billion in a series of equity offerings. Alexis Green hosts. Sign up for the WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Learn more about your ad choices. Visit megaphone.fm/adchoices

Mithril Silver and Gold has released new drill results from Target 1 at the Copalquin gold-silver project in Durango, Mexico. New drill results are also out from Camino Minerals, Ero Copper and NorthIsle Copper and Gold. Hemlo Mining to be updated to the TSX next week.This episode of Mining Stock Daily is brought to you by... ⁠⁠⁠⁠⁠⁠⁠⁠Revival Gold ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vizsla Silver⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Equinox Gold⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Integra Resources ⁠⁠⁠⁠⁠

Comprehensive coverage of the day's news with a focus on war and peace; social, environmental and economic justice. U.S. strikes Iran for second day as ceasefire teeters and regional tensions escalate. U.N. Security Council warns Middle East conflicts risk wider war as U.S., Iran trade blame. Amnesty International accuses Israel of ethnic cleansing in West Bank, calls for sanctions. US Agriculture Secretary Brooke Rollins defends farm policies as senators question tariffs, Iran war costs and crop pest return. Bill Gates tells House panel meeting Jeffrey Epstein was a mistake as probe expands. California sues to block ICE detention facility near Gilroy over environmental and legal concerns. A woman holds an Iranian flag during a pro-government campaign in downtown Tehran, Iran, Monday, June 8, 2026. (AP Photo/Vahid Salemi) The post U.S. strikes Iran for second day as ceasefire teeters and regional tensions escalate – June 10, 2026 appeared first on KPFA.

Ryan, Dana, Nathalie Rodriguez, and ABC News Correspondent Jordana Miller discuss escalating tensions between the U.S. and Iran after President Trump accused Iran of stalling on a potential agreement and warned it would “pay a price.” The conversation covers reports of Iranian strikes on U.S. targets following U.S. “proportional” retaliatory actions after a downed Apache helicopter incident, as well as the broader instability and rapidly shifting dynamics in the region.See omnystudio.com/listener for privacy information.

June 9, 2026 ~ Retired Lt. Colonel Rocky Raczkowski breaks down the latest developments involving Iran and what it could mean for U.S. involvement moving forward. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

The Valentine's Day attempt failed. Eric Richins survived — gasping for air, reaching for his son's EpiPen. He told friends he believed his wife was trying to end his life. And for seventeen days, Kouri Richins lived inside the same house, shared meals with the same children, and arrived at a second plan with five times the lethal dose.The psychological architecture behind that seventeen-day gap is the center of this breakdown. The gap between the image Kouri projected and the financial reality she was hiding — approximately $4.5 million in debt, a house-flipping business in freefall, a forensic accountant who would later use one word: imploding. The affair with Robert Josh Grossmann that functioned not as an escape but as a rehearsal for the life she intended to build after Eric was gone. Insurance policies taken out on Eric's life without his knowledge — manipulation that was caught and didn't produce a pause. It produced an acceleration.The moment Eric Richins stopped being a husband and became an obstacle — a math problem with a financial answer — is identifiable in the evidence. The escalation from Greece to Valentine's Day to the Moscow Mule follows a pattern forensic psychologists recognize: failed attempts don't produce reconsideration. They produce refinement.Then the fourteen months that followed. A children's book about grief. A television tour promoting it. A 911 call. A party the next day. Google searches for luxury prisons and insurance claim timelines. Every friend who testified at trial said they believed her. The psychology behind that deception isn't traditional lying. It's compartmentalization so complete that the person living inside the grieving-mother identity isn't pretending. She's relocated there. The room where she put fentanyl in a cocktail exists in a different part of her mind — sealed off, unvisited. That's what made her believable for fourteen months. And that's what makes this case a psychological study unlike anything else in the true crime landscape.Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1Instagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/TrueCrimePodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#KouriRichins #EricRichins #FentanylPoisoning #Psychology #MoscowMule #HiddenKillers #TrueCrime #ParkCityUtah #SummitCounty #JusticeForEric

In the most recent round of Epstein file disclosures and congressional activity, a **U.S. lawmaker has publicly asserted that a woman seen in still-released photos of Prince Andrew — shown beneath or in very close proximity to him in images sourced from Jeffrey Epstein's New York residence — was a verified sex-trafficking victim connected to Epstein's network. That claim was made during a House Judiciary Committee hearing where the images were discussed, with the woman's face redacted under federal victim-protection rules; the lawmaker argued these visuals, now tied to trafficking, should have prompted legal action against Andrew at the time. Although the Department of Justice has maintained there's not enough evidence to charge Andrew and he has denied wrongdoing, the sharp political pressure and suggestion that the woman was trafficked under the federal Victims Trafficking Protection Act mark a significant escalation in public scrutiny of his ties to Epstein.Separately, police in the U.K. are now assessing new allegations stemming from the newly released Epstein documents, which include communications indicating that Andrew and Epstein continued to correspond after his 2010 conviction and that Epstein may have supplied women — some later described as trafficking victims — to him at various residences. The files also contain email exchanges that appear to corroborate the authenticity of the infamous photo with Virginia Giuffre (contradicting earlier claims by Andrew and associates that it was fake), and raise questions about Andrew's behavior after his official role as U.K. trade envoy. Buckingham Palace has stated it will support law enforcement assessments, and members of the royal family, including Prince William and Kate, have publicly expressed concern over the ongoing revelations.to contact me:bobbycapucci@protonmail.comsource:Woman in ex-Prince Andrew photo was Jeffrey Epstein sex-trafficking victimBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-epstein-chronicles--5003294/support.

In this edition of The World According to Irina Tsukerman, the bi-weekly geopolitical series on The KAJ Masterclass LIVE, host Khudania Ajay (KAJ) examines a dramatic escalation in the Iran-US war with Irina Tsukerman, a US-based national security and human rights lawyer, renowned geopolitical analyst, and Editor-in-Chief of The Washington Outsider. Together, they explore Iran's ballistic missile and drone strikes on US-linked targets in Kuwait and Bahrain, the US retaliation on Qeshm Island, the resulting spike in oil prices, and the broader strategic implications—including Venezuela's Acting President Delcy Rodríguez arriving in New Delhi for talks with PM Modi, as India seeks to diversify energy supplies amid the Hormuz crisis.

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

The global economy is on high alert as oil prices continue to rise due to escalating tensions in the Middle East. In this episode, our oil industry expert breaks down the latest developments and shares his insights on what's driving the market. From the Strait of Hormuz to the impact on California's oil supply, we're diving into the complex world of oil prices and their far-reaching effects on the global economy. The Strait of Hormuz, a critical waterway for global oil trade, has been a major point of contention between the US and Iran. The recent military strikes and retaliatory measures have sent oil prices soaring, with Brent crude reaching over $97 a barrel. But what does this mean for California's oil supply, and how will it affect the state's residents? Our expert weighs in on the latest developments and shares his predictions for the future of oil prices. As the situation in the Middle East continues to unfold, our expert also discusses the impact on California's oil supply and the potential consequences for the state's residents. From the Sable Offshore pipeline to the Strategic Petroleum Reserve, we're exploring the complex web of factors that are driving the oil market.See omnystudio.com/listener for privacy information.

Ryan talks to ABC News Correspondent Jordana Miller about escalating tensions in the Middle East after Iranian drone strikes damaged Kuwait International Airport amid a new exchange of attacks between the U.S. and Iran.See omnystudio.com/listener for privacy information.

Listen to the June 3rd, 2026, daily headline round-up and find all the top news that you need to know.

In this bulletin, the US president contacts Hezbollah in unprecedented step in negotiations, signs Australian house prices set to fall after a 30-year upswing. And in football, Socceroos coach Tony Popovic backs the youngsters in choosing his World Cup squad. - फिफा विश्वकप २०२६ का लागि अस्ट्रेलियाको टोलीमा २६ मध्ये १७ खेलाडीको पहिलो वर्ल्ड कप हुने लगायत आजका प्रमुख समाचार सुन्नुहोस्।हाम्रा थप अडियो प्रस्तुतिहरू पोडकास्टका रूपमा उपलब्ध छन्। यो नि:शुल्क सेवा प्रयोग गर्न तपाईंले आफ्नो नाम दर्ता गर्नु पर्दैन। पोडकास्टमा सामाग्री उपलब्ध हुनासाथ सुन्न यहाँ थिच्नुहोस्।एसबीएस नेपालीको प्रत्यक्ष प्रसारण हरेक मङ्गलवार र बिहीवार दिउँसो २ बजे SBS South Asian मा डिजिटल रेडियोमार्फत, आफ्नो टेलिभिजनको च्यानल ३०५ मा, SBS Audio एपमार्फत, SBS On Demand मा वा हाम्रो वेबसाइटबाट सुन्न सक्नुहुन्छ।साथै हामी सोसल मिडिया प्लेटफर्महरू फेसबुक, इन्स्टाग्राम र एक्स मा पनि रहेका छौं SBS Nepali का नाममा।

A week after tensions surfaced between Education Minister Haruna Iddrisu and NDC Chairman Johnson Asiedu Nketia, the party's Council of Elders banned all endorsements, campaigning, publicity, and activities related to prospective presidential candidates.

In this episode of Run the Numbers, CJ sits down with Ryan Roccon, CFO of Zapier, to cover AI hiring standards, automating month-end close, measuring ROI on AI spend, and why determinism still beats agents most of the time.—SPONSORS:EY has been part of Silicon Valley since it was just a valley, helping the most successful names in tech go from startup to exit to megacap. With teams across strategy, tax, audit, and transactions, EY helps you get your financials right early, long before your investors start asking for it. You build the next big thing, and EY will help you build it right. Learn more at https://www.ey.com/techstartupsSpendHound cuts your SaaS and AI spend by up to 30% using real pricing benchmarks across 10,000 vendors, so you always know what fair pricing looks like before your next renewal. Rated #1 on G2 in SaaS spend management, it's free forever for teams up to 1,000 employees. Sign up by June 12th and get $500 just for getting started. Go to https://www.spendhound.com/cjBrex is an intelligent finance platform with AI-powered agents that capture expenses automatically, enforce policy before the spend happens, and close your books in minutes instead of weeks. 35,000+ companies like OpenAI, Coinbase, Anthropic, and DoorDash already run on Brex. It's time to get Brex AF. Learn more at https://www.brex.com/metricsAleph is a modern FP&A platform built for teams that want more than another planning tool. By connecting your ERP, CRM, and other systems into one trusted data layer with AI workflows, Aleph helps you move faster with real-time insights. Get a personalized demo at https://www.getaleph.com/runRightRev is an automated revenue recognition platform that lets your product team ship new pricing without asking finance for permission, and your sales team close deals without creating downstream chaos. Check out their free tool at calculator.rightrev.com It scores your rev rec process, shows what's exposing you to risk, and tells you exactly where to focus before it bites you in the rear end. Check it out at https://calculator.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cj—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNGuest: https://www.linkedin.com/in/ryanroccon/Company: https://zapier.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:Ryan's First Appearancehttps://youtu.be/VIZ_RzfV78IChris Byington, Head of Data @ Superhumanhttps://youtu.be/ydH38JnWfww—TIMESTAMPS:0:00 Preview and intro2:11 Ryan's scope at Zapier3:17 Why the finance guy runs ecosystems6:19 AI is a required hire competency6:46 The four levels: unacceptable to transformative8:48 How Zapier tests for it11:50 Favorite interview question13:06 Sponsors — EY | SpendHound | Brex16:18 AI changes the hiring profile17:07 Support becomes customer-facing engineering18:44 Where AI beats deterministic Zaps21:00 80-90% of builds are deterministic22:41 Sponsors — Aleph | RightRev | Rillet26:00 Month end close on Zaps27:40 Time saved is a leading indicator29:53 AI token costs: COGS or investment?31:51 Performance issue or measurement issue?33:41 Partner ARR: chasing the wrong thing35:56 Build around what changes the decision37:17 The initiative sizing coach40:00 Escalate on magnitude, not certainty41:55 The 9,000 integration story44:02 M&A process and minimum model46:19 Cash vs. stock: incentive alignment48:06 CFO's role in M&A: show up early49:18 Credits

The U.S. Senate has yet to take action on allowing E-15 use year round across the nation. It's a frustrating spot for Wisconsin biofuels facilities to be in. Erik Huschitt, General Manager at Badger State Ethanol in Monroe, and current President of the WI Biofuels Association feels it. He tells Pam Jahnke that "big oil" is actually on E-15's side in this debate. The problem, he says, is a small group of midsized refiners that have been getting a lot of benefits from the current system. Huschitt notes that consumers are on board, big oil is in support, but the lobbying arm of those midsized refiners is stopping any forward progress in D.C. Gorgeous weekend on the way for Wisconsin. The only thing missing is a little rain to keep coaxing crops along. Stu Muck gives us the warm, dry details through Monday. The weather this spring has come in fits and spurts for livestock owners. Kiley Allan finds out that horse owners need to exercise a little caution introducing horses to the spring grass that has accelerated in growth lately. Dr. Lisa Neeson, equine vet at Irongate Equine Clinic, says that horse with Cushing's, Equine Metabolic Syndrome, or those carrying extra weight could be at risk. She says putting horses out on pasture for just 30-60 minutes at time is smart. She also suggested those visits happen between 10 a.m. - and 3 p.m. when sugar levels in grasses are lower. When consumers pick up a package of beef at the store, they may not understand everything that influences the price shown on that package. Stephanie Hoff introduces labor strikes as an unnoticed influence on some of those prices. Jeff Hadachek, UW Ag Economist explains how these strikes occur and how they can quickly skew the price consumers pay for the products they want.See omnystudio.com/listener for privacy information.

Ryan talks to ABC News Correspondent Jordana Miller about U.S. strikes on Iranian military targets over the weekend, Israel's seizure of the strategic Beaufort Castle during its deepest incursion into Lebanon in more than two decades, and where negotiations now stand as the U.S. and Iran work toward a broader agreement despite ongoing military tensions across the region.See omnystudio.com/listener for privacy information.

In this bulletin, the US president contacts Hezbollah in unprecedented step in negotiations, signs Australian house prices set to fall after a 30-year upswing. And in football, Socceroos coach Tony Popovic backs the youngsters in choosing his World Cup squad.

Israel will escalate strikes against Hezbollah in Lebanon, Prime Minister Benjamin Netanyahu said on Monday evening, as a US official said the terror group had ignored warnings to halt firing at Israel in a conflict that could threaten US-Iran negotiations. The prime minister’s remarks were followed by confirmation from the IDF that it had launched a fresh wave of strikes against Hezbollah targets in eastern and southern Lebanon. Lebanese security sources said people had begun fleeing the southern suburbs of Beirut, a known Hezbollah stronghold, for fear of a renewed Israeli assault on the capital. KAN's Mark Weiss spoke with Retired IDF Colonel Miri Eisin. (Photo: Courtesy)See omnystudio.com/listener for privacy information.

May 26, 2026 ~ Retired Lt. Col. Rocky Raczkowski breaks down the latest developments in Iran, what sparked the weekend activity, and what it could mean for U.S. involvement and global stability. Clear military insight on a fast-moving story. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

For decades, much of the United States media adopted Washington's framing of US conflicts in the Middle East. But the US-Israel war against Iran is defying that trend. US news outlets are increasingly challenging President Donald Trump on his declarations of victory and absence of a clear strategy. Meanwhile, Iran's military remains operational, Tehran retains control of the Strait of Hormuz and fears are mounting that the disruption to global energy supplies will drag on. Contributors:  Mohamad Elmasry - professor of media studies, Doha Institute for Graduate Studies Negar Mortazavi - host, Iran Podcast Maral Karimi - lecturer, Toronto Metropolitan University Sultan Barakat - senior professor in public policy, Hamad Bin Khalifa University On our radar Indian Prime Minister Narendra Modi's foreign trips are usually tightly choreographed affairs. But his trip to Norway did not go according to plan when a journalist named Helle Lyng asked him an unscripted question. Lyng was later criticised by Indian news outlets for that exchange. Norway's news media also came under fire after the country's largest newspaper published an orientalist caricature of Modi. Tariq Nafi has been following the story. The dark side of Kenya's digital age Kenya is the tech hub of East Africa and has built a thriving digital economy. But alongside that growth has come an expanding surveillance apparatus. After antigovernment protests in 2024, President William Ruto's administration is accused of intensifying its monitoring of civilians. Critics say the government is trying to quell online dissent before it reaches the streets. Nicholas Muirhead reports on how surveillance tools designed to combat "terrorism" are being turned on Kenya's citizens. Featuring: Victor Ndede - Amnesty International Nanjala Nyabola - author, Digital Democracy Thomas Mukhwana - investigative journalist, Africa Uncensored

Headlines:  – Welcome To Mo News (00:00) – U.S. Grand Jury Indicts Raul Castro, Ex-Cuban President (07:00) – Sec. Of State Marco Rubio, in Video, Urges Cubans to Align With Trump Administration (11:45) – Trump Says He's “In No Hurry” To Make A Deal With Iran (15:00) – OpenAI Is Preparing to File for an IPO in the Coming Weeks (17:00) – Zuckerberg's Meta Layoffs Memo: ‘Success Isn't A Given' In The AI Era (20:30) – Jeff Bezos Says Bottom Half Of Earners Should Pay Zero In Income Taxes (23:20) – ‘Summer Should Be Fine' As Europe's Jet Fuel Fears Ease (28:20) – India's Diet Coke Shortage Is Turning Soda Into a Status Symbol (32:00) – On This Day In History (36:20) Thanks To Our Sponsor:  Today's episode of the podcast features limited commercial interruptions, brought to you exclusively by the American Petroleum Institute.

Former Cuban President Raul Castro has been indicted for an incident in 1996 that involved civilian planes being shot down. Annie talks with Han Von Spakovsky this hour about what that means for Trump and his current talks regarding Cuba.

Subscribe to get the free guide: The 5 Relational Patterns That Are Quietly Killing Your ConnectionYou're not trying to fight. You're trying to fix.But somewhere between feeling disconnected and trying to close that gap, something takes over. You get louder, faster, more urgent. You need this resolved right now.Work with Lilly: Complimentary ConsultThat's the Takeover. And it's not a character flaw. It's a nervous system pattern that learned connection is fragile and must be protected immediately.In this episode:* What the Takeover looks like and why it happens* Why your urgency feels like love but lands like attack* Two somatic tools to discharge fight energy during a break* How to take a break in a way that creates safety for both of youSubscribe to get the free guide: The 5 Relational Patterns That Are Quietly Killing Your Connection This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.growthovereasy.com

AP's Lisa Dwyer reports that a humanitarian aid ship from Mexico has docked in Havana as US-Cuba tensions escalate.

The ASX200 has fallen to a seven-week low as surging oil prices and rising inflation fears rattle global markets. In this episode of SBS On the Money, Ricardo Gonçalves speaks with David Scutt from StoneX Group Inc. about the market sell-off, the impact of the Middle East crisis on energy prices, and why investors are now bracing for possible interest rate rises in the United States after inflation climbed to a three-year high. The episode also looks at sharp losses for Brambles and major miners including BHP.

We explore how Europe is responding to Russia’s latest large-scale attack on Ukraine. Then: what will the world look like after the crisis in the Strait of Hormuz is over? Plus: South African music lands in Kyoto. See omnystudio.com/listener for privacy information.

Bill Press interviews psychologist Dr. John Gartner about a new ABC/Washington Post poll finding 59% of Americans believe Donald Trump is mentally unfit for the presidency and a physicians' letter urging Trump's lawful removal due to an unsanctioned war and his sole authority over nuclear weapons. Gartner argues Trump is a “malignant narcissist” with worsening frontotemporal dementia, claiming his disinhibition, tangential speech, confabulation, language errors, and loss of social context are increasingly visible, citing clips about “SEA” vs “SEE,” a Sharpie story, and graphic remarks to schoolchildren. He links Trump's self-glorification (coins, passports, building names, images as Pope/Jesus, a triumphal arch) to delusions of grandeur and warns of escalating war and possible first-use nuclear action, doubting political checks like the 25th Amendment or Senate conviction. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Trump Brushes Off US Financial Woes Caused By Iran War & Threatens To Escalate Fighting If Hormuz Remains Closed, Falling Right Into The Globalist Trap To Derail His Economic Agenda

In today's Israel Daily News Podcast, host Shanna Fuld is joined by political analyst Binyamin Moalem to break down the biggest developments impacting Israel, Iran, the United States, Lebanon, and the wider region.Topics include:• Trump rejecting Iran's ceasefire proposal• The battle over the Strait of Hormuz• Iran's nuclear program and uranium stockpiles• Reports of possible U.S. military action• Israel deploying Iron Dome systems to the UAE• Hezbollah's new fiber-optic drone threat• Lebanon ceasefire talks and anti-Hezbollah sentiment• Israeli politics and possible early elections• The new Israeli tribunal law for October 7 terroristsPlus: analysis of how the Abraham Accords are reshaping regional security cooperation.Subscribe for daily Israel news, Middle East analysis, and interviews with top experts.Follow Israel Daily News:Website: https://israeldailynews.orgPodSnacks.com Code:EXJ67Israel Daily News website: https://israeldailynews.orgYOUTUBE: https://youtube.com/@israeldailynews?si=UFQjC_iuL13V7tyQIsrael Daily News Patreon: https://www.patreon.com/shannafuldSupport our Wartime News Coverage: https://www.gofundme.com/f/independent-journalist-covering-israels-warLinks to all things IDN:⁠ https://linktr.ee/israeldailynews⁠#Israel #Iran #Trump #MiddleEast #IsraelNews #Hezbollah #Netanyahu #BreakingNews #Geopolitics #IDF

President Donald Trump is heading to Beijing as the conflict involving Iran continues to escalate and concerns grow over energy markets and global trade. The trip also includes major business leaders expected to discuss deals involving technology, aircraft and rare earth materials. Subscribe to our newsletter to stay informed with the latest news from a leading Black-owned & controlled media company: https://aurn.com/newsletter Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

If your 8(a) SBA application has stalled with no response, there's a little-known move that can force action and it runs directly through your elected officials' offices. In this episode of the Federal Help Center Podcast, community member Obi breaks down exactly how he used a congressional inquiry to get his 8(a) application escalated all the way to the SBA, and Eric unpacks the privacy release form every small business owner needs to know about. We also get into the explosive SBA audit that suspended over 1,000 8(a) companies — and what it reveals about who's really leveraging this certification versus who's just sitting on a paperweight. [Key Takeaways] The Congressional Inquiry Playbook — Learn the step-by-step process Obi used: phone call, follow-up email, caseworker contact, and the privacy release form that formally authorizes your senator or representative to inquire on your behalf to any federal agency — not just the SBA. 8(a) Change of Ownership vs. Acquisition — Eric breaks down why "buying" an 8(a) is the wrong framing, what a change of ownership actually requires, and how strategic 8(a) ownership transfers can become a powerful pipeline play — including the tribal 8(a) angle most people never consider. The SBA Audit That Changed Everything — The SBA suspended over 1,000 8(a)-certified companies in a single sweep. Find out why it happened, who got caught, and what it tells you about the cost of holding a certification you're not actively using. 8(a) as a Paperweight vs. a Weapon — Hear directly from business owners who said their 8(a) "hasn't done anything" and cost them money every year — and why knowing how to leverage a certification is the difference between a burden and a competitive edge.   EPISODE CHAPTERS: 0:00 — Welcome to the Federal Help Center Podcast intro 0:27 — Obi shares his 8a SBA application update 1:25 — How Obi used his senator's office to escalate his case 2:52 — What happened after the congressional inquiry was filed 3:21 — SBA responds: the caseworker process explained 4:19 — Privacy release form: how to request congressional inquiry 5:44 — Using the form for any federal agency, not just SBA 6:11 — 8a change of ownership vs. acquisition strategy explained 8:31 — SBA audit suspended 1,000 eight-a companies: why it happened 9:31 — 8a certification as a paperweight vs. a competitive tool   Market Intelligence gives you the federal opportunities, agency signals, recompete intel, and pursuit briefs that tell you not just what contracts exist, but which ones to chase and how to win them. Sign up for free Daily Alerts and get opportunities delivered to your inbox before the day starts.

Jason Jay Smart is a political adviser who has lived and worked in Ukraine, Moldova, Kyrgyzstan, Kazakhstan, Russia, and Latin America. Due to his work with the democratic opposition to Vladimir Putin, Smart was made persona non grata for life by Russia in 2010. Jason is a Special Correspondent at the Kyiv Post. It's the state of US support for Ukraine that we will discuss today.----------LINKS:https://jasonjaysmart.com/ https://www.kyivpost.com/authors/5 https://americanpoliticalservices.com/https://www.facebook.com/jasonjaysmarthttps://twitter.com/officejjsmart ----------ACTIVE CAMPAIGN: We are raising funds for 5 of 15 Vampire DronesSilicon Curtain for Kupiansk Vampires. Dzyga's Paw, together with Jonathan Fink, is joining forces to raise $40,000 to provide the Khartiia Brigade with Vampire Drones.https://dzygaspaw.com/silicon-curtain-for-kupiansk-vampiresThese heavy bombers are designed to destroy manpower and equipment, as well as for remote mining. The Vampire UAV, manufactured by Skyfall, has proven itself to be one of the most effective weapons in the Kupiansk direction. Skyfall is one of Ukraine's largest defense tech companies, producing Vampire bomber drones, various modifications of Shrike FPV drones, P1-SUN, Shahed drone interceptors, communication systems, and components.https://dzygaspaw.com/silicon-curtain-for-kupiansk-vampires----------SUPPORT THE CHANNEL:https://www.buymeacoffee.com/siliconcurtainhttps://www.patreon.com/siliconcurtainhttps://www.gofundme.com/f/scaling-up-campaign-to-fight-authoritarian-disinformation----------TRUSTED CHARITIES ON THE GROUND:Save Ukrainehttps://www.saveukraineua.org/Superhumans - Hospital for war traumashttps://superhumans.com/en/UNBROKEN - Treatment. Prosthesis. Rehabilitation for Ukrainians in Ukrainehttps://unbroken.org.ua/Come Back Alivehttps://savelife.in.ua/en/Chefs For Ukraine - World Central Kitchenhttps://wck.org/relief/activation-chefs-for-ukraineUNITED24 - An initiative of President Zelenskyyhttps://u24.gov.ua/Serhiy Prytula Charity Foundationhttps://prytulafoundation.orgNGO “Herojam Slava”https://heroiamslava.org/kharpp - Reconstruction project supporting communities in Kharkiv and Przemyślhttps://kharpp.com/NOR DOG Animal Rescuehttps://www.nor-dog.org/home/----------PLATFORMS:Twitter: https://twitter.com/CurtainSiliconInstagram: https://www.instagram.com/siliconcurtain/Podcast: https://open.spotify.com/show/4thRZj6NO7y93zG11JMtqmLinkedin: https://www.linkedin.com/in/finkjonathan/Patreon: https://www.patreon.com/siliconcurtain----------DESCRIPTION:Putin's Regime as a Criminal Business: Elite Cracks, Siloviki Power Struggles & May 9 Risks | Jason Jay SmartJonathan speaks with Jason Smart about why the war benefits Putin's inner circle as an asset-stripping, profit-driven system, arguing the Putin regime functions as a literal criminal organization and that this distorted incentive structure can make escalation—including risking conflict with NATO—seem rational to insiders. They discuss rising billionaire wealth during the war, large-scale state seizures allegedly funneled to Putin allies, and growing signs of elite fragmentation: oligarch factions, nationalist “Z” voices, selective law enforcement, leaks and “hacks,” arrests and firings tied to loyalty concerns, and a tightening security apparatus. The conversation highlights Rosgvardiya and the FSO's role in regime protection and monitoring, the possibility that intelligence leaks aim to destabilize the system, and speculation around May 9 targets amid Russian air-defense gaps. The episode also promotes a book release and a fundraiser for Ukrainian drones.----------

Richard Haass: If diplomacy with Iran doesn't gain momentum, this will escalate To listen to this show and other MS podcasts without ads, sign up for MS NOW Premium on Apple Podcasts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Ceasefire tested as tension in Middle East escalate To listen to this show and other MS podcasts without ads, sign up for MS NOW Premium on Apple Podcasts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Plus: eBay shares rise after an offer from GameStop CEO to buy the e-commerce company. And Norwegian Cruise Lines stock falls after cutting its outlook.    Sign up for the WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Learn more about your ad choices. Visit megaphone.fm/adchoices

Are ships moving in the Persian Gulf and could it lead to the resumption of hostilities between the US and Iran? Andrew Peach finds out more on the latest developments and speaks to maritime expert Captain John Konrad. Meanwhile, with two clubs celebrating joining the English Premier League, we hear about the financial challenges facing those joining football's elite. And, why the success of the vintage clothing industry is attracting criminals. Global business news, with live guests and contributions from Asia, Europe and the USA.(Picture: Vessels in the Strait of Hormuz near Bandar Abbas, Iran, on 4 May 2026. Credit: Amirhosein Khorgooi / ISNA / West Asia News Agency, via Reuters.)

The guys discuss the Colts nabbing their new "green dot" in CJ Allen and a couple of other starters across the class. Also, the ongoing sports gambling issues involving players hits close to home, IU football loads up on draft picks, and Jake buys women's clothing on clearance.Hoagies & Hops Hoagie of the Week: Always SunnyChilly Water Brewing Co. Brew of the Week: Blood on the Tracks (Blood Orange IPA)

Utility collections, telecom collections, and cable bill collections are some of the fastest wins in credit repair — and right now, with bureaus scrambling to add alternative data to credit reports, the system is more overwhelmed than ever. Join Our FREE Start Repairing Credit Challenge: http://startrepairingcredit.com/ When a utility or telecom bill goes to collections, the collector usually receives a very thin file: a name, maybe an old address, a balance, and sometimes an account number. What's missing is everything that matters — service agreements, itemized billing statements, payment history, and proof the account belongs to your client. That gap is your leverage. Daniel walks through how to demand full validation, dispute factual errors like wrong balances and wrong service addresses, challenge identity and service address mismatches, escalate to the CFPB when collectors stall, and check the statute of limitations on older debts. These fast wins matter beyond the dispute letter. When clients see negative items coming off early, they trust the process, stay enrolled longer, and start referring friends and family — which is how credit repair businesses actually grow. Tune in!  P.S. Join the #1 event to grow your credit repair business: http://creditrepairexpo.com/   Key Takeaways: 00:00 Intro  01:36 Why utility collections fall off fast  02:16 Collectors only get a thin file — no real proof  05:06 Strategy 1: Demand full debt validation  06:06 Strategy 2: Dispute factual errors precisely  07:08 Strategy 3: Challenge identity and service address  07:50 Strategy 4: Escalate to the CFPB  08:34 Strategy 5: Check the statute of limitations  09:26 Final thoughts Additional Resources: Get a free trial to Credit Repair Cloud Get my free credit repair training   Fastest Wins in Credit Repair: 7 Things You Can Delete In DAYS Make sure to subscribe so you stay up to date with our latest episodes.

Joe England—aka Stoic Viking—shares his incredible story of survival, resilience, and purpose. After a near-fatal car accident that changed everything, Joe opens up about rebuilding mentally and physically, his drive to serve, and the mindset forged through adversity. The conversation also dives into hard geopolitical realities, including a raw discussion on Iran, global conflict, and what many are missing about the threat landscape. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Hey BillOReilly.com Premium and Concierge Members, welcome to the No Spin News for Tuesday, April 7, 2026. Stand Up for Your Country.   Talking Points Memo: Bill gives the latest on Iran and explains why no matter what Trump does, he loses. Armin Rosen, correspondent-at-large for Tablet Magazine, enters the No Spin Zone to opine on how Israelis view the Iran conflict, whether he's surprised that polling in America is against Trump's military strategy, and the rise of antisemitism. What Sen. Ron Johnson (R‑WI) recently said about Trump's actions in Iran. Why was Pam Bondi ousted as U.S. attorney general? Final Thought: Bill reveals this week's We'll Do it LIVE! guest. Learn more about your ad choices. Visit megaphone.fm/adchoices