Podcasts about Roomba

Pact Breakers: Pact Breakers are being flagrant with it! Openly breaking the pact and not waiting for Friday night to enjoy Corey content with your boys! Keep the pact alive for next week's new music!Corey Feldman's Medical Emergency: A medical emergency happens midair as Corey Feldman is travelling to Los Angeles. Paramedics met him at the airport and apparently the doctors gave him a misdiagnosis! Publicity stunt?Corey and Scottie On Stern: After our recent Scottie Schwartz interview, Jim goes back to check the apperance mentioned on Stern to fact check!COREY FELDMAN!, SHOW STOPPER!, LET'S JUST TALK!, DON CHEADLE!, BOOGIE NIGHTS!, JIM AND THEM IS POP CULTURE!, COREY FELDMAN SHOW!, REAL ONES!, PO BOX!, PAY ATTENTION BITCH!, JIMTEENTH!, JUNETEENTH!, JDOG RIPDOG!, PACT BREAKERS!, THE PACT!, NO COREY UNTIL FRIDAY!, EMERGENCY!, PLANE!, MAJOR HEADLINES!, MIDAIR EMERGENCY!, ROCK PAPER SCISSORS!, LOVE LEFT 3 BOX!, 22 NECKLACES!, ALMOST FAMOUS!, BEN FONG TORRES!, BIG EVENTS!, KEEP THE PACT!, NEW MUSIC!, DON'T LISTEN!, PLANE EMERGENCY!, SICK!, PANCREATITIS!, GALLSTONES!, STOMACH ACHE!, FOOD POISONING!, TIDE HAS TURNED!, MY TRUTH COMMENTARY!, PRESS RELEASE!, WHAT AM I HERE 4?!, TMZ!, ENTERTAINMENT NEWS!, SCOTTY SCHWARTZ!, THE TOY!, CHRISTMAS STORY!, HOWARD STERN!, GINGER LYNN!, CHARLIE SHEEN!, FACTS!, UPDATES!, ROBIN!, STATUTORY!, BLINDS!, POKER NIGHT!, DIRT!, MASTURBATING!, DEATH!, SCARE!, GETTING OLD!, MISSING BITS!, MEATBALLS 4!, HAPPY CAMPERS!, WICKED GAMES!, CHRIS ISAAK!, JEFF GEEKING!, SHUT THE FUCK UP!, WASTED!, GLASSES!, ROOMBA!You can find the videos from this episode at our Discord RIGHT HERE!

Nueva entrega de Perra de Satán, la sección donde la actualidad más extraña pasa por nuestro filtro particular. Esta semana: la rendición de James Howells, el galés que ha pasado doce años buscando en un vertedero un disco duro con 742 millones de dólares en bitcoins; el inodoro autónomo japonés de 11.000 euros que llega a tu cama como una Roomba con apretón; un estudio que confirma que usamos la inteligencia artificial, sobre todo, para vernos más guapos (y la nueva disforia que eso provoca); y el último gran salto empresarial de Bertín Osborne: una operadora de telefonía con logo taurino y megas "a derechas". Cerramos con una recomendación musical de altos vuelos: Omega, el disco de Enrique Morente y Lagartija Nick, ahora de gira por su 30 aniversario. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Dean Takahashi is the dean of tech writers and a 25-year veteran correspondent covering consumer electronics, gaming, and emerging technology for GamesBeat. He's covered every major tech transition—from mobile's rise to VR's boom-and-bust cycles to the current AI explosion—with a skeptical eye and a talent for finding the human story beneath the hype. This is his fifth appearance on the AI XR Podcast.For CES 2026, Dean walked the floors across the Convention Center, the Venetian Expo Center (Eureka Park), Pepcom, and Showstoppers, emerging with a clear reading: China has decisively shifted from periphery to center stage in consumer electronics manufacturing, American incumbents are pulling back and rethinking their booth strategy, and the economics of CES itself are in transition. Robotics companies are moving from prototype to commercial faster than expected—but they still can't answer basic questions about pricing and labor displacement.News: Sony cuts its booth to demo an electric car instead of TVs. Samsung skips the show floor entirely for the first time. Nvidia takes over the Fontainebleau to showcase its role in robotics enablement. Lenovo dominates the Sphere with a Gwen Stefani concert. Chinese robotics companies proliferate with laundry folders, latte makers, and toilet-cleaning units. Roomba files for bankruptcy; Chinese competitors take over the robotic vacuum market.Key Moments:[00:01:23] Dean receives his virtual green jacket as a five-time returning guest and Charlie thanks him for his insights[00:03:00] China takeover at CES: TCL dominates Central Hall, ROED owns the XR booth, robotics companies fill the floor[00:06:00] Nvidia's Fontainebleau takeover and the "chest-pumping" show of force; why scale messaging still matters[00:14:18] The robotics explosion explained: Nvidia's digital twins, Cosmos world models, and synthetic testing accelerate time-to-market[00:19:00] The pricing problem: robotics companies won't answer how much their products cost; the minimum wage rental model doesn't translate globallyWhen American companies built the show, CES reflected American manufacturing dominance. Now that China manufactures most consumer electronics, CES reflects that shift—and the implications ripple through labor, supply chains, and where the next epicenter of innovation will be. Dean, Charlie, and Ted grapple with what CES 2026 signals about global manufacturing advantage and why the geography of tech matters more than we think.This episode is brought to you by Zappar, creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences for mobile headsets and desktop. Mattercraft combines the power of a game engine with the flexibility of the web, and now features an AI assistant that helps you design, code, and debug in real time, right in your browser. Build smarter at mattercraft.io.Listen to the full post-CES debrief and subscribe for weekly conversations at the intersection of AI, XR, and consumer technology. Hosted on Acast. See acast.com/privacy for more information.

This week on Friday Night Frightfest, we are wrapping up our epic franchise retrospective with a massive grand finale! While the internet love to debate the ups and downs of parody history, we're throwing out the critical consensus and embracing the pure, unadulterated fun of the franchise's later eras. We are looking at an entry that deserve a lot more love: the hyper-chaotic, early-2010s time capsule Scary Movie 5 (2013) and the triumphant, star-studded legacy revival that just crushed the summer box office, Scary Movie (2026). Grab your popcorn—we're closing this series out with non-stop laughs! Scary Movie 5 (2013) Directed by Malcolm D. Lee, Scary Movie 5 gets a bad rap, but if you look past the critical hate, it is a goldmine of rapid-fire physical comedy and surreal, early-2010s pop culture. Anchored by Ashley Tisdale and Simon Rex, the film skewers hits like Paranormal Activity, Evil Dead, Sinister, and Rise of the Planet of the Apes. From Simon Rex's incredible commitment to getting physically destroyed by the scenery to the utterly bizarre, self-aware opening cameo with Charlie Sheen and Lindsay Lohan, this entry runs at a breakneck pace. It's an absurd, live-action cartoon that understands exactly what it is: pure, unpretentious fun. Scary Movie (2026) Pairing perfectly with the fifth entry is the brand-new 2026 revival, which brought the franchise roaring back into the cultural zeitgeist. Written by the legendary Wayans brothers (Keenen Ivory, Shawn, and Marlon) and bringing back the iconic duo of Anna Faris (Cindy) and Regina Hall (Brenda), this movie is an absolute love letter to the fans. The film brilliantly parodies the modern "elevated horror" and "requel" trends, taking hilarious, no-holds-barred aims at Scream (2022), M3GAN, Smile, and The Substance. It captures the exact same nostalgic magic as the original trilogy while proving that the spoof genre is far from dead. Join us as we celebrate the entire evolution of this comedy empire! We'll break down why the physical gags in Scary Movie 5 (especially that possessed Roomba sequence) still crack us up, and how the 2026 reunion delivered the ultimate fan-service theater experience of the year. It turns out that when you stop taking things so seriously, both of these films are an absolute blast to watch back-to-back. Spoilers start around 7:15.

The crew is fueled by Celsius once again and recovering from the store's first-ever full inventory lockdown. Between mapping out a new pinball Roomba, dodging Hollywood Pride to stay on Sunset, and surviving a horrific real-life Night Crawler scenario on San Fernando Road, this episode pivots seamlessly from campy blockbusters into a full-scale analysis of Coral's literal fixation on 70-year-old actresses and anime food orgasms. This Week's Insanity:Inventory & Upgrades: Sifting through thousands of comic books for inventory, adding a new Roomba to the pinball room, and celebrating Salo's latest "clandestine" D Division championship win. LotZilla & Marvel Magic: Prepping for the "gay" LotZilla market with approved beer permits, exclusive merch drops, and a preview of the upcoming Marvel Superheroes MTG pre-release. Bizarre Brakes: Processing the wild international news cycle, from a tragic mid-air helicopter collision in Brazil to a horrific bungee jumping accident where the crew completely forgot to attach a rope. Mommy Issues & The Tunnels: Coral goes completely hard defending The Burrows, forcing Jeff and Joe to address her deep-seated attraction to Stuart Little's mama, Geena Davis. The San Fernando Crash: Jeff and Joe recount being the first citizens on the scene of a brutal collision, keeping a trapped 19-year-old awake while dodging opportunistic "night crawler" camera vultures and 30 intensely fit firemen. Coral's Corner: Celebrating America's birthday with a $39.99 porcelain bald eagle bourbon bottle from Costco, UFC fights on the White House lawn, and an introduction to the naked food hallucinations of Food Wars. Loose, chaotic, and heavily caffeinated — this episode is what happens when you step away from the comic racks and end up holding hands with destiny on the asphalt. New episodes every week. Only at Revenge Of — where the variables are unmapped and the eagle heads come right off.

Technology is supposed to make life easier. But at what point does convenience become a cry for help?On today's episode, the gang discovers a self-driving smart toilet from China that can literally roll to your bedside in the middle of the night. That's right. You press a button, a toilet navigates around your bedroom obstacles, waits patiently for you to do your business, cleans you with a built-in bidet, dries you with warm air, then drives itself back to its docking station to clean and flush itself.Naturally, everyone reacts in the most reasonable way possible… by immediately debating whether they need one.Riz thinks the future has arrived. Lern believes able-bodied people should simply walk to the bathroom. Moon immediately starts designing custom off-road wheels and imagining a version that tucks him back into bed afterward. Before long, the conversation spirals into robot dog-poop collectors, camping applications, and whether society has officially crossed a line from innovation into complete absurdity.This daily comedy episode somehow manages to turn advanced mobility technology into one of the dumbest and funniest arguments imaginable. If you've ever wondered what would happen if a Roomba and a toilet had a very expensive baby, this daily comedy adventure is here for you.It's weird news, sarcastic debates, and exactly the kind of unfiltered nonsense you'd expect from The Rizzuto Show. The crew tackles bizarre inventions, questions humanity's priorities, and spends an alarming amount of time discussing butt dryers and portable bathrooms.Come for the futuristic robot toilet. Stay for the increasingly ridiculous ideas that somehow make less and less sense every minute. This daily comedy episode proves once again that no topic is too strange once the gang gets hold of it.Follow The Rizzuto Show → https://linktr.ee/rizzshow for more from your favorite daily comedy show.Connect with The Rizzuto Show Comedy Podcast online → https://1057thepoint.com/RizzShow.Hear The Rizz Show daily on the radio at 105.7 The Point | Hubbard Radio in St. Louis, MO.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send us Fan MailSummer has officially arrived in South Florida, and that means one thing: pool season.In this Friday episode of Carpooling with Paul, Paul shares a humorous morning adventure involving his above-ground pool, a new robotic pool vacuum, and yet another unexpected repair project before work.What started as a simple plan to get the pool ready for the day quickly turned into a comedy of errors involving leaking hoses, flying water, and the realization that owning anything—from a house to a car to a pool—means there's always something that needs fixing.Along the way, Paul talks about:

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

Is Hasbro's new $599 life-size Grogu a major Win or a total Wiff? We're breaking down the specs, the staggering price point, and why this animatronic "toy" has the FITT crew divided. From 250+ animations to the mystery of the 4 D batteries, we're asking the tough questions about the future of modern toy collecting and Star Wars memorabilia.Standing 14.6 inches tall, this 1:1 scale animatronic is impressive technologically, featuring 18 points of motorized articulation and 14 sensors that bring the "Child" to life. Whether he's using the "Force" to make his blue macaron vibrate or entering "Grab & Go" mode for your next cosplay, the engineering behind his squishy skin and directional audio is undeniable. However, with a $599 price tag, the collector community remains torn on whether these premium features—like the screen-accurate robes and "toddling" walk—justify the cost or if it's just a high-tech Wiff for most collectors.

On today's episode, we discuss how fast emerging tech is reshaping everyday life, from glitchy home solar systems to self‑driving cars, sex robots, and AI‑driven coding tools. Glenn opens with a candid update on his Tesla‑based solar setup—celebrating a newly functional generator‑battery handoff while venting about failed inverters and long calls with Tesla support—before the group pivots into how well the latest Full Self‑Driving software now handles stop signs, parking, and even spotting deer at night using cameras and possibly infrared. From there, they debate LiDAR versus camera‑only systems, the future of EVs and hybrids, and how self‑driving will eventually trickle down into everything from lawnmowers to Roombas as autonomy gets baked into cheap firmware chips rather than constantly updated software. The conversation then gets speculative and playful: humanoid robots doing warehouse work and construction, direct brain interfaces by 2035, AI‑mediated sex and “Tesla Ranch” brothels, and a looming choice between a Wall‑E future of passive comfort or a Star Trek future of exploration and fitness. In the final stretch, they return to Elon Musk's growing power—Starlink as a de facto “second internet,” Grok Build and vibe‑coding tools that let non‑programmers wire systems together—and close with a non‑advice discussion of Bitcoin and crypto, arguing that upcoming U.S. regulation and broader access through mainstream financial firms could unleash a major new wave of demand. Don't miss it!

Sorry for the holiday delay, but it's an in-person recording instead of a zoom! The Notes: Children of the Cornohol! Step into a cornhole! Will released the song of the summer (this summer, 2024, or any summer from 1984 to 2000)! Oh those Robot Wars! Roombas with guns! How the crack epidemic informed The Lost Boys! Stand By the Lost Boys! Will has a question for the ladies! Lost Boyz n the Hood! Perilously low nut room! Will, and perhaps you kids at home, learn about Epic Sax Guy! Contact Us! Follow Us! Love Us! Email: doubledeucepod@gmail.com Twitter, Instagram, Threads: @doubledeucepod Bluesky: @doubledeucepod.bsky.social Facebook: www.facebook.com/DoubleDeucePod/ Patreon: patreon.com/DoubleDeucePod Also, please subscribe/rate/review/share us! We're on Apple, Android, Libsyn, Stitcher, Google, Spotify, Amazon, Radio.com, RadioPublic, pretty much anywhere they got podcasts, you can find the Deuce! Podcast logo art by Jason Keezer! Find his art online at Keezograms! Intro & Outro featuring Rob Schulte! Check out his many podcasts! Brought to you in part by sponsorship from Courtney Shipley, Official Superfans Stefan Rider, Amber Fraley, Nate Copt, and listeners like you! Join a tier on our Patreon! Advertise with us! If you want that good, all-natural focus and energy, our DOUBLEDEUCE20 code still works at www.magicmind.com/doubledeuce for 20% off all purchases and subscriptions. Check out the Lawrence Times's 785 Collective at https://lawrencekstimes.com/785collective/ for a list of local LFK podcasts including this one!  

Today's daily comedy show starts with pure midnight panic as Rafe wakes up convinced the Poltergeist clown finally came for him… only to discover his blind dog trapped under the bed like a furry Roomba with trust issues. That somehow spirals into one of the wildest conversations we've ever had about towing companies, impound lots, and the horrifying realization that your car can legally become somebody else's property if you wait too long to pick it up. Cool system. Totally normal society.King Scott walks us through the absolute saga involving his mother-in-law's wrecked car, a mysterious tow yard in Wildwood, escalating storage fees, and the discovery that after enough days pass, the tow company can apparently just shrug and say “our car now.” The gang reacts in real time as Scott slowly realizes the vehicle may already be headed to auction while he's still trying to figure out where it even is. Honestly, if you leave this episode without anxiety, congratulations on your emotional stability.Meanwhile, Rizz gets surprise dentist news that one of his wisdom teeth is apparently decaying like an abandoned pirate ship under his gums. That launches an aggressively detailed discussion about tooth extractions, laughing gas, oral surgery, CPAP machines, sleep studies, redhead anesthesia immunity, and whether getting knocked unconscious at the dentist is secretly the best nap you'll ever have.Then things somehow get even weirder when genetic testing results start rolling in. Rafe discovers his body has officially declared war on cheese, Learn debates gluten elimination, and the show mourns the possible loss of mozzarella sticks, Tillamook cheddar, pizza, parmesan, and basically all happiness. This may quietly become the saddest segment in daily comedy history.And because this episode needed one final disaster, the crew reacts to a viral couple proudly explaining all the things they're not doing at their wedding: no booze, no meat, no kids, no fun, no plus-ones, and absolutely no reason for anyone to attend voluntarily. The gang absolutely tears into the “celebration of us” energy while questioning whether this wedding is actually just a hostage situation with vegan catering.If you love chaotic radio, ridiculous real-life stories, sarcastic humor, weird news, and conversations that somehow go from oral surgery to anti-cheese grief counseling in under five minutes, this daily comedy show has you covered.Follow The Rizzuto Show → https://linktr.ee/rizzshow for more from your favorite daily comedy show.Connect with The Rizzuto Show Comedy Podcast online → https://1057thepoint.com/RizzShowHear The Rizz Show daily on the radio at 105.7 The Point | Hubbard Radio in St. Louis, MO.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week: Bilingual McCann & the new Roomba, Irish baby nicknames, turning 40, dating life, expensive sh*t, getting hooked on wrestling events, adult bloopers, Puerto Rican nightlife, Trump's UFO files, Chess documentary drama, snooker farts, guys vs male pattern baldness & much more! TONIGHT 5PM ON PATREON: BRAND NEW MERCH DROP!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠patreon.com/TheBombSquadPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠SSE ARENA '26 Tickets.⁠⁠⁠⁠⁠⁠⁠MERCH: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.bombsquadpod.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow @TheBombSquadPod on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Hosted by:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Colin Geddis⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ &⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Aaron McCann⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Produced & Edited by:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Niall Fegan⁠⁠

Episode 145: We Miss Spirit Airlines Now That It's Dead Spirit Airlines vanished overnight (and a TikToker wants you to chip in $1.75 billion to bring it back). Survivor hits 50 seasons with MrBeast and Billie Eilish making cameos. AI chatbots are now inventing diseases that don't exist. And the guy who invented the Roomba wants to sell you a robot pet with bear-cub ears that drags you off the couch. Plus: Dan survives post-prom trivia in small-town Minnesota, Nicole confesses her goth-era Winona Ryder phase, and we settle whether Jeff Probst is underpaid at $60 million. New episodes every Wednesday. Live Mondays on Facebook.

Have you noticed that your newer appliances are serenading you? Many new washing machines, dishwashers, dryers, and vacuums have sonic signatures. But why? And who are the composers making music for the machines in your home? Flora talks to sonic branding experts Audrey Arbeeny, who has developed sounds for washing machines; and Joel Beckerman, who has composed for Roomba.  Guests:  Audrey Arbeeny is the owner and executive producer of Audiobrain. She's composed for Whirlpool, KitchenAid, the London Olympic Games, and Microsoft's Xbox 360.  Joel Beckerman is a composer and founder of Made Music Studio, and author of “The Sonic Boom: How Sound Transforms the Way We Think, Feel, and Buy.” He's composed for the NFL, IMAX, and the Roomba vacuum.  Other episodes you may enjoy: Are Physical Buttons And Knobs Making A Comeback? Common Loons Are Pop Music Icons Want SciFri gear? Check out our new shop! Transcripts for each episode are available within 1-3 days at sciencefriday.com. Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that's keeping you up at night? Call us: 877-4-SCIFRI Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Oh shoot, we missed Mother’s Day! And we didn’t get anything for our Mother Boxes! I sure hope they like podcast episodes… That’s right, this episode is all about the Mother Box, the smartphone that’s also a mom, and a buncha other li’l robot buddies and helpers! We start off with a partial reading and discussion of the essay “‘How Can I Refuse You, Mother Box?!’ Abjection and Objectification of Motherhood in Jack Kirby's Fourth World” by Annamarie O’Brien for ImageTexT, chat about whether Cyborg should be powered by a Mother Box or not, the life and times of Skeets, Widget, H.E.R.B.I.E. and J.A.R.V.I.S., and the introduction of our own acronym-first robot pals! Direct Download: MP3

Thank you for tuning into this week's episode of Hot Goss, here on the New Hope Underground feed! This week, we discuss The Ascent and New Hope's Summer Schedule — which is now LIVE on New Hope Now! Then, Jonathan Broscious crashes the pod and we share some of our Hottest Takes!Support the show by visiting volleycoffee.co and use code HOTGOSS at checkout for 20% off your purchase!––––Quick Links:— Visit our website: http://newhopechurch.cc— Fill out the Connect Card: http://newhopenow.cc— Join a Serve Team: http://newhopenow.cc— See what's happening now: http://newhopenow.cc––––The New Hope Podcast Network:— New Hope Podcast: https://newhopechurch.cc/newhopepod— New Hope Underground: https://newhopechurch.cc/underground— SOMA Bible Study Podcast: https://newhopechurch.cc/somapodcast— The Parent Podcast: https://newhopechurch.cc/parentpodcast––––Like us on Facebook (http://facebook.com/newhopechurchcc) and follow us on Instagram (http://instagram.com/newhopechurchcc) for the most up to date information on all New Hope ministries and events!––––Thank you for giving generously at New Hope. It's because of your giving that we are able to share Jesus with our community and further our vision of seeing a greater movement of Jesus in each new generation! If you'd like to give this week, you can do so at https://newhopechurch.cc/give, by mail to PO Box 57 Effingham, IL 62401, or through the Church Center App. Hosted on Acast. See acast.com/privacy for more information.

What if the next big wave of AI isn't about robots doing your chores but about robots that understand you?In this episode, we sit down with Colin Angle, co-founder of iRobot and the creator of the Roomba, to explore his bold new venture: Familiar Machines and Magic. After putting over 50 million robots into homes, Angle is now betting on something radically different: a quadruped AI companion designed not for work, but for connection.This isn't a humanoid. It's not a vacuum. It's something entirely new.Powered by on-device multimodal AI, this “familiar” can follow you around your home, learn your routines, encourage healthier habits, and even develop a kind of relationship with you, all while keeping your data private.We dive into:* Why the humanoid robot race might be overhyped* The massive untapped “emotional AI” market* How this robot learns, adapts, and interacts like a pet* Privacy-first AI design (no cloud streaming)* Why form factor matters more than you think* The future of robots in everyday lifeColin also shares why now is the perfect moment for physical AI—and how advances in reinforcement learning and edge computing are making this possible.If you thought AI robots were just about automation, this conversation will change your perspective.⸻

The Daily Shower Thoughts podcast is produced by Klassic Studios. [Promo] Check out the Daily Dad Jokes podcast here: https://dailydadjokespodcast.com/ [Promo] Like the soothing background music and Amalia's smooth calming voice? Then check out "Terra Vitae: A Daily Guided Meditation Podcast" here at our show page [Promo] The Daily Facts Podcast. Get smarter in less than 10 minutes a day. Pod links here Daily Facts website. [Promo] The Daily Life Pro Tips Podcast. Improve your life in less than 10 minutes a day. Pod links here Daily Life Pro Tips website. [Promo] Check out the Get Happy Headlines podcast by my friends, Stella and Mickey. It's a podcast dedicated to bringing you family friendly uplifting stories from around the world. Give it a listen, I know you will like it. Pod links here Get Happy Headlines website. Shower thoughts are sourced from reddit.com/r/showerthoughts Shower Thought credits: BleedingRaindrops, therealCatnuts, Marx0r, Dicklefart, jovial_cynic_, --DannyPhantom--, GobLoblawsLawBlog, Suspicious-Syrup-765, jmm166, swanson_theory, maestrozeldafan, David_Umann, Sujjin, debarn, GreenwichSt, David-Diron, ThatHobbitGuy, cloudslayer99, Shamon_Yu, , maximusjohnson1992, Dependent_Noise_6249, NorthPengyyy, Danny_-_DeCheeto, SkyMaro, Diamond151, SavagePrisonerSP, rdkilla Podcast links: Spotify: https://open.spotify.com/show/3ZNciemLzVXc60uwnTRx2e Apple Podcasts: https://podcasts.apple.com/us/podcast/daily-shower-thoughts/id1634359309 Stitcher: https://www.stitcher.com/podcast/daily-dad-jokes/daily-shower-thoughts iHeart: https://iheart.com/podcast/99340139/ Amazon Music: https://music.amazon.com/podcasts/a5a434e9-da18-46a7-a434-0437ec49e1d2/daily-shower-thoughts Website: https://cms.megaphone.fm/channel/dailyshowerthoughts Social media links Facebook: https://www.facebook.com/DailyShowerThoughtsPodcast/ Twitter: https://twitter.com/DailyShowerPod Instagram: https://www.instagram.com/DailyShowerThoughtsPodcast/ TikTok: https://www.tiktok.com/@dailyshowerthoughtspod Learn more about your ad choices. Visit megaphone.fm/adchoices

Alright folks, welcome to The Kevin Jackson Show, where we don't just connect dots… we tell you who drew the map, then who tried to redistrict you out of it.Because Leftists want us ERASED. From history.I heard that while we are looking to negotiate with Iran, they attacked one of our ships and Trump responded with a “love tap”. I use that term when I was fighting competitively…But I smell a rat here. Every time negotiations get close, something suddenly happens. A ship gets hit. A militia wakes up feeling spicy. Somebody fires a missile like they're trying to impress girls at a regional warlord mixer.Part of it may be the chaos inside Iran right now. Power struggles, factions, instability. Or maybe this is just how Iran negotiates: “Before we discuss peace terms, we'd first like to set something on fire.”And I actually appreciate Trump's measured response. Because Democrats desperately want him to overreact. They want mushroom clouds so they can run on, “See?! He's insane!”But instead Trump treats Iran like a drunk cousin at a barbecue. “You calm down or I'm gonna have to thump you in front of everybody.”A couple strategic swats. A little reminder. Nothing theatrical. And that drives the Left CRAZY because restraint ruins their screenplay.Every time Trump appears on camera looking calm and competent, Democrats react like vampires hearing a church bell. Because they remember Biden.Good grief. Biden shuffled around like a Roomba searching for a docking station. The man would start a sentence in Ohio and finish it emotionally in Brussels.And I'll get deeper into Iran later because this situation still needs to play out. Geopolitics is like crockpot cooking. You can't keep lifting the lid every seven minutes screaming, “IS FREEDOM READY YET?!”See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Explore the launch of the Google Fitbit Air, the evolution of distraction‑free health tracking, upcoming AI and Android developments from Google I/O 2026, and how Lutron is making homes smarter with intelligent lighting and accessible automated blinds. Steven Scott and Shaun Preece dive into a wide‑ranging discussion on mainstream tech. They begin with the Google Fitbit Air, a screenless fitness tracker focused on comfort and core health features like 24/7 heart rate monitoring, AFib alerts, SpO2, and sleep tracking. The hosts examine its real‑world benefits, from week‑long battery life to fast charging and the promise of a distraction‑free experience. They also consider the new Google Health app and how AI health coaching may create meaningful insights. The conversation moves to Google I/O 2026 and the Android Show, previewing big updates to Gemini AI, Android 17, Android XR, and the potential debut of Aluminium OS for AI‑driven laptops. They also discuss the growing momentum of smart glasses and the importance of agentic AI for hands‑free productivity. In the second half, Marc Aflalo interviews Melissa Andresko from Lutron, exploring how automated blinds, intelligent lighting, and natural light optimisation are redefining home comfort, wellness, and accessibility. The episode closes with a look at AI‑powered robotic companions coming soon from Roomba and the US military's latest UFO video releases. Relevant Links Google Fitbit Air: https://store.google.com/gb/product/google_fitbit_air Lutron Caséta: https://www.casetawireless.com ----Follow on:YouTube: https://www.doubletaponair.com/youtubeX (formerly Twitter): https://www.doubletaponair.com/xInstagram: https://www.doubletaponair.com/instagramTikTok: https://www.doubletaponair.com/tiktokThreads: https://www.doubletaponair.com/threadsFacebook: https://www.doubletaponair.com/facebookLinkedIn: https://www.doubletaponair.com/linkedinSubscribe to the Podcast:Apple: https://www.doubletaponair.com/appleSpotify: https://www.doubletaponair.com/spotifyRSS: https://www.doubletaponair.com/podcastiHeadRadio: https://www.doubletaponair.com/iheartAbout Double TapHosted by the insightful duo, Steven Scott and Shaun Preece, Double Tap is a treasure trove of information for anyone who's blind or partially sighted and has a passion for tech. Steven and Shaun not only demystify tech, but they also regularly feature interviews and welcome guests from the community, fostering an interactive and engaging environment. Tune in every day of the week, and you'll discover how technology can seamlessly integrate into your life, enhancing daily tasks and experiences, even if your sight is limited."Double Tap" is a registered trademark of Double Tap Productions Inc. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Max and 99 are back for another episode of Omnibus. They hit headlines on vitamin K refusal, abortion pill access hanging by a thread, Germany asking Israel for jet fuel, and a robotic companion with AI surveillance built in, then tackle listener emails on deflation, data center slowdowns, and book recommendations. They rank their Top 5 brands to support and close with some light bullshit. Enjoy! Chapters Intro: 00:00:08 Headlines: 00:05:49 Emails: 00:30:48 Top 5: 01:09:33 Beyond the Bullshit: 01:22:49 Memberships: 01:25:52 Outro: 01:26:35 Resources ProPublica: Babies Are Bleeding to Death as Parents Reject a Vitamin Shot Given at Birth Mother Jones: Supreme Court Reinstates Access to Abortion Pills—For Now SCOTUSblog OilPrice.com: Germany Seeks Israeli Jet Fuel As Hormuz Disruptions Cripple Airlines The Verge: The creator of Roomba is back with a furry robot companion Book Love Samuel Farber: Before Stalinism: The Rise and Fall of Soviet Democracy Paul Kriwaczek: Yiddish Civilisation: The Rise and Fall of a Forgotten Nation Naomi Klein: No Is Not Enough: Resisting Trump’s Shock Politics and Winning the World We Need Rachel Cockerell: Melting Point: Family, Memory, and the Search for a Promised Land Cory Doctorow: Enshittification: Why Everything Suddenly Got Worse and What to Do About It Peter Joseph: The New Human Rights Movement: Reinventing the Economy to End Oppression Clara E. Mattei: Escape from Capitalism: An Intervention Howard Zinn: A People’s History of the United States Daniella Mestyanek + Amy Reed: Young: The Culting of America: What Makes a Cult and Why We Love Them Yuyi Morales: Dreamers Michael Hudson: J Is for Junk Economics: A Guide to Reality in an Age of Deception David Graeber: Debt: The First 5,000 Years Stephanie Kelton: The Deficit Myth: Modern Monetary Theory and the Birth of the People’s Economy David Graeber: Bullshit Jobs: A Theory Astra Taylor + Naomi Klein: End Times Fascism: And the Fight for the Living World Top 5 Mother Jones ProPublica PBS The Marshall Project Dr Bronner’s Bookshop.org Wear The Peace Greyston Bakery UNFTR Resources Video: Milei Promised Miracles, Delivered Chaos—Trump Is Next Video: Canada’s Working Class Under Attack: Carney’s Economic Update Decoded Video: They Hide These Economic Words From You—Here’s Why -- If you like #UNFTR, please leave us a rating and review on Apple Podcasts and Spotify: unftr.com/rate and follow us on Facebook, Bluesky, and Instagram at @UNFTRpod. Visit us online at unftr.com. Become a member at unftr.com/memberships. Buy yourself some Unf*cking Coffee at shop.unftr.com. Visit our bookshop.org page at bookshop.org/shop/UNFTRpod to find the full UNFTR book list, and find book recommendations from our Unf*ckers at bookshop.org/lists/unf-cker-book-recommendations. Access the UNFTR Musicless feed by following the instructions at unftr.com/accessibility.Support the show: https://www.unftr.com/membershipsSee omnystudio.com/listener for privacy information.

On this week's show: TJ gets ready to head to Canada, Apple pays for promising too much from Siri, ULTRALOQ goes tap-to-unlock with Aliro, and Homebridge 2.0 finally speaks Matter. The Roomba creator builds a furry robot friend, Matter.JS Server gets smarter debugging, BEGA lights up Home Assistant, and the new HA beta tunes into sub‑GHz RF. Plus, a pick of the week, project updates, and so much more!

The Trump administration suddenly wants to review AI models before they ship. Anthropic just inked a massive compute deal with Elon Musk, who then posted that he "reserves the right" to pull the plug if he decides their AI is "harming humanity” (he's one to know!). On the latest FAFO Friday, Kwaku and I get into why the Trump administration appears to be about to reintroduce the same (weak) AI oversight that Biden implemented. Is this really about safety or a way to gain leverage over Big AI? Plus, robots! The founder of Roomba is back with a new, fuzzy, home companion robot and his approach (not humanoid! build robots with EQ!) is very aligned with this week's interview with roboticist/dancer Catie Cuan. LinksWhite House Considers Vetting A.I. Models Before They Are Released (NYTimes)How Anthropic's Mythos Threw the White House AI Strategy Into Chaos (WSJ)Anthropic Gets in Bed With SpaceX as the AI Race Turns Weird (WIRED)The Roomba Guy's Second Act: A Robot You'll Want to Snuggle (WSJ)Robots Don't Have to Be Creepy. Meet the Dancer Reimagining Them. | Catie Cuan (Founder & CEO, ART Lab) (FAFO)Support Future Around & Find OutFollow Dan on LinkedInGet the free newsletterBecome a paid subscriber and help future proof FAFO!

In FOLLOW UP, the guys marvel at the completely normal state of America as Amnesty International issues a travel advisory for the 2026 World Cup because apparently “visiting the United States” now comes with the same vibe as backpacking through a failed cyberpunk state. Then it's onto Dead Podcast Theory, where more than a third of all new podcasts are AI-generated “podslop,” proving Silicon Valley heard “everyone has a podcast” and responded with “what if nobody did?” Meanwhile, Ticketmaster reminds everyone that if you've purchased a concert ticket since 2010, there's probably a class action settlement with your name on it and enough compensation for half a convenience fee.IN THE NEWS is basically one long panic attack sponsored by AI. The White House is considering regulating AI models, Canada says OpenAI vacuumed up everyone's personal data like a drunk Roomba, Character.AI allegedly impersonated a licensed psychiatrist, and Mother Jones found ChatGPT still happily helping aspiring mass shooters workshop their plans. Snap's Perplexity deal died quietly in a ditch while Meta keeps assembling humanoid robots like it's building the world's most annoying version of Westworld. Then GameStop tries to buy eBay in the dumbest sentence ever typed, Ryan Cohen gets himself banned from eBay while trying to meme-finance the deal, Elon Musk settles with the SEC for pocket lint money, Coinbase fires people because “AI,” Toto accidentally becomes a semiconductor giant through toilet technology, and smart glasses officially evolve from creepy gadget to extortion accessory.MEDIA CANDY brings some relief with Daredevil: Born Again and Widow's Bay. The Academy finally decides AI-generated actors and scripts can't win Oscars, which feels like the bare minimum required to stop ChatGPT from getting Best Supporting Actor before Willem Dafoe.In APPS & DOODADS, Pornhub returns to the UK thanks to Apple's age verification system, Ask.com finally dies and takes Jeeves with it into the great dial-up tone in the sky, and Apple agrees to pay users because “Apple Intelligence” arrived somewhere between vaporware and wishful thinking.Finally, THE DARK SIDE WITH DAVE tackles the true meaning of “decimate,” AI-powered C-3PO heads, mechanical keyboards for grown men who refuse to use laptop keys, Maul: Shadow Lord, The Boys, and a reminder that Solo was a great movie, grocery store adventures, lost AirPods, and the eternal mystery of why middle-aged dudes become furries. Because at this point, why not?Sponsors:DeleteMe - Get 20% off your DeleteMe plan when you go to JoinDeleteMe.com/GOG and use promo code GOG at checkout.Private Internet Access - Go to GOG.Show/vpn and sign up today. For a limited time only, you can get OUR favorite VPN for as little as $2.03 a month.SetApp - With a single monthly subscription you get 240+ apps for your Mac. Go to SetApp and get started today!!!1Password - Get a great deal on the only password manager recommended by Grumpy Old Geeks! gog.show/1passwordShow notes at https://gog.show/745Watch on YouTube at https://youtu.be/0P9rgRrL4-QFOLLOW UP2026 World Cup Travel AdvisoryMore Than a Third of All New Podcasts Are AI-GeneratedWelcome to the Ticketmaster Fee Class Action WebsiteIN THE NEWSThe White House is considering tighter regulation of new AI modelsCanadian officials claim OpenAI violated federal and provincial privacy lawsPennsylvania sues Character.AI after a chatbot allegedly posed as a doctorEven After Two Massacres, OpenAI Still Hasn't Stopped ChatGPT From Helping Plan School ShootingsSnap's $400 million deal with Perplexity is deadMeta acquires robotics AI startup as it makes the push into humanoid machinesGameStop submits $56 billion offer to buy eBayGameStop CEO Ryan Cohen Banned From eBay After Flexing His Meme-Stock MuscleElon Musk settles with the SEC for $1.5 million after years-long dispute over his Twitter investmentCoinbase to Lay Off 14% of Workforce Amid AI Disruption and Crypto VolatilityToilet maker Toto is here to help with the RAM crisisExtortion Using Smart Glasses Is a Thing NowMEDIA CANDYDaredevil: Born AgainWidow's BayFun item for media candy?AI performances and screenplays won't be eligible for OscarsAPPS & DOODADSPornhub Expands Access in the U.K. Thanks to Apple's New Age Verification SystemAsk.com has shut down, marking the official farewell to the Internet's favorite butleriPhone users could get up to $95 per device as Apple reaches $250M settlement over Siri delaysTHE DARK SIDE WITH DAVEDave BittnerThe CyberWireHacking HumansCaveatControl LoopOnly Malware in the Building'Decimate' means much more today than it did in ancient RomeThis AI-Powered Talking C-3PO Head Lets You Feel What It's Like to Be R2-D2NuPhy Air75 V3 - Wireless Mechanical KeyboardMaul: Shadow LordSolo: A Star Wars StoryThe BoysWhy grown men become furriesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The Musk v. OpenAI trial continues, which means so do the allegations and leaks surrounding some of the most influential people in tech. Nilay and David recount the most interesting and entertaining moments from the courtroom this week, before digging into what we've learned about when Sam Altman was fired. After that, the hosts discuss OpenAI's apparent plans to build a phone, which seem utterly necessary and utterly doomed, along with the new Fitbit Air and a truly strange new home robot. Finally, in the lightning round, it's time for the Hype Desk, Brendan Carr is a Dummy, the Chinese company that wants to make everything, and the next big rebrand for xAI. Further reading: ⁠Internal Tech Emails on X: "Sam Altman texts Mira Murat⁠ ⁠We are going through the removal of Sam Altman from OpenAI in detail. ⁠ ⁠Toner is relating how Sam Altman's firing happened. ⁠ ⁠Toner says she found out about ChatGPT by seeing screenshots on Twitter. ⁠ ⁠Zilis sent Altman a text message of support after his 2023 ouster. ⁠ ⁠Google's taking a big swing at AI health with the Fitbit Air⁠ ⁠OpenAI is reportedly launching a phone for ChatGPT ⁠ ⁠The creator of Roomba is back with a furry robot companion ⁠ ⁠Inside Dreame's wild launch event — packed with products no one can buy⁠ ⁠Dreame — the vacuum company — just ‘launched' its own phones | The Verge⁠ ⁠Dreame's rocket-powered car can do 0–60 in 0.9 seconds because you can just say things now⁠ ⁠A foldable iPhone dummy — on video. ⁠ ⁠Apple agrees to pay iPhone owners $250 million for not delivering AI Siri ⁠ ⁠DOJ assault on the NFL could end the Packers as we know them.⁠ ⁠Apple could let you pick a favorite AI model in iOS 27 ⁠ ⁠xAI is becoming SpaceXAI.⁠ ⁠Microsoft gives up on Xbox Copilot AI ⁠ ⁠Microsoft's new Xbox shake-up is all about platform changes ⁠ ⁠Subscribe to The Verge⁠ for unlimited access to ⁠theverge.com⁠, subscriber-exclusive newsletters, and our ⁠ad-free podcast feed⁠.We love hearing from you! Email your questions and thoughts to ⁠vergecast@theverge.com⁠ or call us at 866-VERGE11. (Timestamps are approximate.) 00:00:00 Intro 00:02:00 Trial Discovery Era 00:06:00 Early OpenAI Origins 00:11:00 Elon Power Struggle 00:17:00 Altman Firing Texts 00:27:00 Why The Board Panicked 00:36:00 ChatGPT Phone Rumor 00:39:00 OpenAI Phone vs App Store 00:41:00 Why Apps Still Matter 00:44:00 Apple Siri Power Play 00:49:00 Apple Intelligence Lawsuit 00:53:00 Google Fitbit Air 00:57:00 Google Health Rebrand Backlash 01:01:00 Familiar Robot Pet Debate 01:10:00 Nintendo Star Fox Returns 01:12:00 Nintendo Weirdness Wins 01:15:00 Furry Overlap Discourse 01:16:00 Zach Gardening Surprise 01:21:00 Brendan Carr Broadband Fight 01:23:00 NFL Antitrust And Packers 01:29:00 Dreame Vaporware Parade 01:32:00 Rocket Car Reality Check 01:34:00 Elon Corporate Matryoshka 01:36:00 Xbox Ditches Copilot 01:37:00 Wrap Up And Schedule Learn more about your ad choices. Visit podcastchoices.com/adchoices

We are shocked to find out Roomba's creation of AI-powered pet robot.

#839: Coinbase sheds 14% of its workforce as it accelerates its AI efforts. AB InBev reports its first sales growth in 3 years, providing a bubbly outlook for the beer empire. Alberta separatist group gathers enough signatures to be one step closer to gaining independence from Canada. The Roomba inventor introduces a cute and cuddly emotional support robot pot. It's the end of times.  Explore connectivity solutions that can transform your business at https://www.att.com/smallbusiness Subscribe to Morning Brew Daily for more of the news you need to start your day. Share the show with a friend, and leave us a review on your favorite podcast app. Listen to Morning Brew Daily Here:⁠ ⁠⁠https://www.swap.fm/l/mbd-note⁠⁠⁠  Watch Morning Brew Daily Here:⁠ ⁠⁠https://www.youtube.com/@MorningBrewDailyShow⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

You will now be able to have an AI powered pet robot thanks the the inventor of the Roomba. 

Bit of a Dragon's Den vibe this week as the lads put forward their inventions for scrutiny. Unfortunately for Darren his already exists worldwide but he still thinks he came up with it first. Joe's has legs though...quite literally.They get to talking about dogs and Joe's comlex feelings towards the family pooch get an airing and we hear about his sister's pet rabbit (that she walks around on a leash!!)Drone taxis have arrived but the jury's still out on whether they're on board...in any sense.Send all your questions and comments to stallit@goloudnow.com.

Sorg, Katie, and Podnar are back for AwesomeCast 778 with Apple Silicon Mac tips, Katie's hands-on thoughts on the MacBook Neo, Fortnite's Star Wars takeover, robot companions from the creator of Roomba, AI in wrestling promos, GameStop's rumored eBay bid, and a spotlight on skyscraper engineering pioneer Fazlur Khan for AAPI Month. Plus: Pittsburgh Marathon stories, Dungeon Crawler Carl audiobook talk, Chachi's Video Game Minute, and why Fortnite might secretly be every game now. Support AwesomeCast at patreon.com/awesomecast.

 Questions? Comments? We love feedback! Email us at info@baishavaad.org Rav Aryeh FinkelQuestion: Reuven owns a Roomba vacuum cleaner, which rolls by itself across the floor of his house. He brought it over to his neighbor's house to demonstrate to them how it works. During his demonstration, it vacuumed up a child's gold earring and they were unable to retrieve it. Is Reuven liable to pay for the lost earring?In a similar occurrence, a Roomba banged into a parakeet's cage and injured the valuable bird. Is the owner of the vacuum culpable for the injuries to the parakeet? Answer: The Torah says that a person is liable for damages done by his animals. While the Mishnah in Bava Kama lists various categories of animals that one is chayav for, obviously, a Roomba vacuum cleaner is not one of them. The Rambam clearly rules that any liability of animal damages applies only to live creatures; therefore, they would not apply to the case in question. One could suggest that the owner of the vacuum could be liable as a derivative of aish. If one places any object in a place where it is likely that wind will move it and cause damage, he can be held liable as a form of aish. In this case, the individual left his vacuum running in a place where it is likely to vacuum up an earring, which would place it in the category of aish.However, the Gemara says that if someone puts his friend's cow next to a third person's fruit and, as a result of this, the cow eats the fruit, the one who put it there is chayav, even though it is not his cow. The Rishonim discuss which hezek this is. They agree that it cannot be shein, as one is only liable for shein of his own animals. The Rashba says that it is aish. Tosafos disagree and say that it cannot be aish. The Acharonim explain that Tosafos hold that aish only applies in a case where the object is moved by an outside force like the wind, and not on its own. A cow cannot be aish because it moves of its own volition. So too, it would seem that according to this opinion a Roomba cannot either be considered aish because it moves from its own power. Thus, aish would also be ruled out in this case.It is possible that the owner of the vacuum can be held liable because of bor. While a bor is usually stationary, the Gemara in Bava Kama says that if someone owns a dead tree that falls down and causes damage as it falls, the owner is liable if he was properly warned. Tosafos say that he is liable because his tree is considered a bor. We see that even a moving obstacle in a public place is considered a bor. Accordingly, the Roomba can also be considered a bor. However, we know that a bor is not liable for damages caused to keilim, which would mean that we cannot obligate the owner to pay for the earring. The parakeet, however, is a living animal, and we could obligate the owner to pay for its injuries.  

Sorg, Katie, and Podnar are back for AwesomeCast 778 with Apple Silicon Mac tips, Katie's hands-on thoughts on the MacBook Neo, Fortnite's Star Wars takeover, robot companions from the creator of Roomba, AI in wrestling promos, GameStop's rumored eBay bid, and a spotlight on skyscraper engineering pioneer Fazlur Khan for AAPI Month. Plus: Pittsburgh Marathon stories, Dungeon Crawler Carl audiobook talk, Chachi's Video Game Minute, and why Fortnite might secretly be every game now. Support AwesomeCast at patreon.com/awesomecast.

Introducing non-descript robot pet!

Show IntroIt's about damn time we lightened it up, like fully and completely, Jesse. And I thought what better way than to catch you up with modern slang. Who knows? Maybe it'll make your next barn sale even more fun!(JH) And Jesse...I'm gonna start REALLY easy. This first batch comes from FOX 5's Tyler Thrasher. Here goes:"Clanker" is a derogatory term for robots or artificial intelligence. The term originated from the "Star Wars: The Clone Wars" animated series, where it was used as a slur for battle droids, and is now being used again as robots and AI become more prominent in daily life, according to a video of middle schoolers explaining "Clanker" to their teacher, user @mr_lindsay_sped, on TikTok. If your middle-school student is used to a Roomba at home cleaning the floors, you may start to hear the word "clanker" being thrown around as if they are having an argument with one another."Crashout" means to "throw a fit," "lash out," or have a "meltdown". The term has a new meaning for Gen Alpha, as previous generations used it to mean "go to sleep hard." This one has been around a bit longer than "Clanker," but is likely the most common Gen Alpha slang term you will hear going into this new school year. To be honest, at least this one has some usefulness for adults as well. Because doesn't inflation, traffic and the 5 a.m. alarm make us all want to "crashout?""67" is from a viral meme associated with the song "Doot Doot (6 7)" by Skrilla. It is also linked to NBA star LaMelo Ball, who is 6'7" tall. It can be used for basketball references, to mean someone is "very tall," or in a comedic context to mean "so-so."Chopped - No, parents. This isn't a reference to The Food Network. "Chopped," in this context, means "bad," "ruined," "messed up" or of "poor quality.""Wow, did you see McKynleigh's outfit today? It is chopped." SDIYBT - Where do we even begin with this one? Here goes nothing. This is a niche internet acronym with conflicting definitions, including "Start diggin in yo butt twin" from a SpongeBob meme and "Stay driven, inspire yourself, be true." It is an internet acronym blending casual speech and texting culture.It is more likely the first one they're referencing, if we are being totally honest. Meltmaxxing- is a meme where you film yourself appearing to "melt" by letting your face go slack and double-chinned.The term Opp is a shortened version of "your enemy. Aura, an updated version of "vibe," refers to their perceived stylishness and strong presence.Maxxing, which is a slang term for optimizing one's physiSend us Fan MailSupport the showSupport Curious Cat, an independent, human-made podcast!Anxious about AI? Take two minutes to contact your local politician and ask them to tap the brakes on this technology. Still worried? Contact one of the orgs below and get involved. But for today, hug your kid, cook food and really breathe in deep as it simmers, walk in nature, brush a cat, donate to the food bank, brew a cup of tea, or draw a five-minute portrait of your dog. ***Is AI the Devil? on Substack!***Hero Organizations:80,000 HoursCenter for Humane TechnologiesState of Surveillance, an organization that helps foster online privacyBuy Curious Cat Podcast a Coffee!

Uncertain of the future of the escalating the war with Iran sent the markets down and oil up. That is where we start on this the 4th day of May, and thanks for listening. In other news, along with inflation, high gas prices your U.S. dollar is buying less…and why. eBay shares spiked a bit today and we'll share why. How would you like to have a automated pet? The guy that gave us the Roomba has some plans about that. We have a coffee story for you that we bet you didn't know. We'll check the numbers in The Wall Street Report and Anthropic is attracting some very big clients…no, really. Let's go! Thanks for listening! The award winning Insight on Business the News Hour with Michael Libbie is the only weekday business news podcast in the Midwest. The national, regional and some local business news along with long-form business interviews can be heard Monday - Friday. You can subscribe on  PlayerFM, Podbean, iTunes, Spotify, Stitcher or TuneIn Radio. And you can catch The Business News Hour Week in Review each Sunday Noon Central on News/Talk 1540 KXEL. The Business News Hour is a production of Insight Advertising, Marketing & Communications. You can follow us on Twitter @IoB_NewsHour...and on Threads @Insight_On_Business.

Dave Birss says you won't be replaced by AI - you'll be replaced by a leader who's been told the wrong story about it.About this episodeDave Birss is back on Business Without BS - author of the Sensible AI Manifesto, co-founder of the Gen AI Academy, and a man who's taught a million-and-a-half people how to use AI without setting their business on fire. He walks Andy and Andrew through what he calls a "corporate poopocalypse" — what happens when you apply AI to a business that hasn't cleaned up its own mess.The episode covers the Sensible AI Manifesto's six points, the CREATE prompting framework, the three Cs for checking AI output, the adequacy trap, why judgment is the most undervalued skill of the next decade, and the practical playbook for rolling out AI across a team without sending the whole organisation into a panic.About the guestDave Birss co-founded the Gen AI Academy with Helena, where they run AI training across governments, the UN, and Fortune 500 companies. He wrote the Sensible AI Manifesto and GPT Junior, the kids' AI book and video course now in over 100 schools. Before all that he spent his career in advertising and creativity, which is where most of his frameworks come from.Key moments[02:46] The Roomba poopocalypse - why AI applied to a dysfunctional business spreads the mess, not the productivity.[05:46] Corporate barnacles - the institutional plaque costing every business 40% in fuel and speed.[08:04] Sensible AI Manifesto Point 1: use AI to augment skills, not to outsource tasks.[09:15] The two-list exercise: tasks that piss you off vs tasks you wish you could do more of. Only the second list is the real opportunity.[12:11] AI slap - 96% of leaders think AI raises productivity, 77% of staff feel buried by unrealistic expectations.[13:48] The adequacy trap - why AI users get stuck at "good enough" and never break through.[22:51] The other five Manifesto points: use data responsibly, support employees, assign AI leaders, keep learning, always add a human layer.[26:40] The CREATE prompting framework — Character, Request, Examples, Adjustments, Type, Extras.[37:59] The three Cs for checking AI output: Confirm, Check, Craft. Why most people skip the third one.[55:14] How business owners keep their thinking sharp: do the work on paper before you open the laptop.[1:01:03] What humans still beat AI at - conceptualisation, creative voice, and judgment. The judgment one matters most.[1:14:17] The line that pisses Dave off: "you won't be replaced by AI, you'll be replaced by someone using AI." His correction is sharper.[1:18:09] The three-stage AI value pyramid — cost cutting → skill amplification → unlocking what wasn't possible before. 80% of companies are stuck on stage one.[1:24:18] How to roll out AI across a team in an afternoon: align with business strategy, declare an AI amnesty, pave the desire lines.Mentioned in this episodeSensible AI Manifesto — Dave's six-point framework for applying AI without breaking your business. Currently being turned into a book.Gen AI Academy - the training company Dave co-founded with Helena, working with governments, the UN and Fortune 500s.GPT Junior - Dave's book and video course teaching kids how to use AI properly, currently in over 100 schools.Perplexity - Dave's preferred AI tool for fact-checking because it gives you the sources.Cal Newport - referenced for the long-form-reading argument and the case that children reading for pleasure is the strongest predictor of life outcomes.Range (David Epstein) - the case for generalists over hyper-specialists; Dave says the book describes him.Yann LeCun - recently left Meta over the limits of next-token prediction; arguing AI needs world models, not just language.Roomba poopocalypse - the family-and-the-dog metaphor that opens the episode and frames the whole thing.Marc Andreessen / lump of labour fallacy — the framing for why we systematically underestimate the new jobs that emerge from disruption.RAF desire lines - the Nissan-hut path-paving story; Dave's metaphor for letting staff show you how AI is already being used.Combinedly - the AI tool Andrew's firm is testing for client-sentiment analysis and email drafting.Find the guestLinkedIn: https://www.linkedin.com/in/davebirss/ Gen AI Academy: https://thegenaiacademy.com/Follow Business Without BSWebsite: https://withoutbs.comYouTube: https://youtube.com/@bwblondonInstagram: https://instagram.com/bwblondonX / Twitter: https://x.com/bwb_londonLinkedIn: https://www.linkedin.com/company/business-without-bs

Raccoin is out, and Chris and Jason have thoughts after jumping in right away. They talk about why the game works so well on Steam Deck, how fun it is when a roguelike completely breaks in your favor, and a couple of other games now competing for their attention, including Vampire Crawlers and People of Note. They also revisit WoW to talk about where things stand with Midnight's story, then Jason shares why starting fresh in Enshrouded has reminded him just how much he loves survival crafting games, even when the genre asks for a huge time commitment. Finally, Chris makes the case for a handheld upgrade and tries to decide whether an open-box Xbox ROG Ally X is too tempting to pass up.

"Night Mare" by Susan TaitelManawaker Patreon: https://patreon.com/manawaker/Manawaker store: https://payhip.com/ManawakerManawaker Discord: https://discord.gg/zjzA2pY9f9More info / Contact CB Droege: https://cbdroege.taplink.wsThe Flash Fiction Podcast Theme Song is by Kevin McCleodThe Producer, Editor, and Narrator of the podcast is CB DroegeBio for this weeks author: Susan Taitel is an author and artist with work appearing in Daily Science Fiction and Cast of Wonders among others. She has not yet named her Roomba but it's only a matter of time.

Sign up for Audible, using our affiliate link! When you sign up for Audible you will be helping out our podcast, and the “Terry goat fund.” Sign up, and get your first month free. After that it becomes $15 every month. You can unsubscribe at any time. Each month you will get one token for an audible book, and some really great prices and discounts on titles that you want to add to your library. Sponsored by: Retro Radio Podcast. Bringing you family-friendly entertainment through classic, old-time radio. Episodes are posted daily. Keith and his Retrobots share everything in his collection from the days of vintage radio. Adventure, comedy, detective, westerns, and lots in between. If you don't hear your favorite show, just ask Visit the web page today, https://retro-otr.com ## Quick recap This podcast episode featured Keith, Terry, and Jill discussing various topics including personal stories, and news items. The hosts discussed cooking techniques and kitchen safety, and explored adaptive living devices. They covered several unusual news stories including an ice chunk falling from a plane, a prom ride in an Oscar Mayer Wienermobile, and a car manufacturer’s patent for a voice-activated toilet. The episode included a segment of “weird words” presented by Jill, followed by Terry’s top 10 list of humorous hypothetical situations. The final segment focused on living skills for blind individuals, including discussions about adaptive footwear and kitchen safety devices. The hosts also read listener emails and voicemails, including stories about a kind homeless man who returned a lost purse and a humorous tale about a wife’s creative way of breaking news to her husband. Summary The hosts discussed various personal topics including Terry’s new blue support hose, Jill’s cooking experiences, and Keith’s lawn care situation. Terry shared his experience with a new digital player. News of the Week Terry shared a story about a chunk of ice falling from an airplane and crashing through a house in Los Angeles. Jill presented a heartwarming story about high school students in Kansas using an Oscar Mayer Wienermobile as their prom transportation. Keith shared an update on a legal case involving a man named Cavallero who had been fighting to get his 30-year-old alligator Albert returned after it was confiscated, but ultimately decided to end the legal battle. The team also discussed stories about elderly pets, including a 15-year-old chicken named Gertie in Maine and a 15-year-old lionhead rabbit named Herbie in the UK. Keith outlined May holiday topics including National Mediterranean Diet Month, National Blood Pressure Month, and National Pet Month. The holidays also included, Military Child Month and National Humor Month. Terry shared two unusual stories: rare bioluminescent fire worms being spotted in California’s Long Beach water, and a Japanese car manufacturer’s patented voice-activated toilet for vehicles. The discussion concluded with Terry mentioning a 1954 Rolls Royce limousine that had a gold-plated toilet, which the new owner converted into a champagne holder. Jill's Weird Words Jill explained the meanings and origins of various words including “quiz,” “mud lark,” “pinniped,” “sub fuss,” “Roomba,” “flitch,” “kvel,” and “panoply.” The group discussed different interpretations and etymologies of these words, with Keith and Terry contributing guesses and commentary throughout the session. Terry's Top 10 List Terry then presented a humorous top 10 list of imaginary scenarios that could happen, including a squirrel becoming mayor and a bathroom mirror broadcasting a talk show. Anchor Topic This is the segment we talk about blindness related issues. The group discussed kitchen safety and adaptive living skills. Keith and Terry shared experiences with kitchen safety devices, including blind-friendly ice cube trays and sock butlers. They also discussed challenges with footwear, particularly Terry’s difficulty keeping slippers on his feet, and Keith’s experience with Crocs. Email and Final Thoughts Keith read an email from a listener a story about a homeless man named Michael who returned Alost purse and left a $1 bill inside, highlighting the importance of treating everyone with respect. He also read an email regarding telling the truth while riding in a taxi. We also had some voicemails. One from a creative woman who told her husband about a wrecked car. The other one was about a failed lady's night out. The final word from our AI companion The group also shared jokes and puns, ending with a reminder about their show’s availability online and an invitation for listeners to provide feedback. Show notes written by AI, edited as needed by Keith. Sponsored by: Retro Radio Podcast. Bringing you family-friendly entertainment through classic, old-time radio. Episodes are posted daily. Keith and his Retrobots share everything in his collection from the days of vintage radio. Adventure, comedy, detective, westerns, and lots in between. If you don't hear your favorite show, just ask Visit the web page today, https://retro-otr.com

Justin wrestles with a backwards-wired Tormach AF50 saw and delegates tasks to his new hire. Jem rebuilds his job management system on a local server. They discuss 150% increase in aluminum, meeting fatigue, and their skepticism about SimTheory's Canva acquisition. Roomba learning to clean pegboard.Watch on YoutubeDISCUSSED:✍️ Comment or Suggest a TopicTormach AF50 Saw, no buenoLinux server?ShopboardTraction - Issues List150% increase cost AluminumSimtheory bought by Canva---Profit First PlaylistClassic Episodes Playlist---SUPPORT THE SHOWBecome a Patreon - Get the Secret ShowReview on Apple Podcast Share with a FriendDiscuss on Show SubredditShow InfoShow WebsiteContact Jem & JustinInstagram | Tiktok | Facebook | YoutubePlease note: Show notes contains affiliate links.HOSTSJem FreemanCastlemaine, Victoria, AustraliaLike Butter | Instagram | More LinksJustin BrouillettePortland, Oregon, USAPDX CNC | Instagram | More Links

Smart devices can be very handy, but increasingly people are worried about exactly how smart they are, what they know and what they are doing with our data especially after a rogue Roomba ended up sharing embarrassing photos of one young woman on the toilet. Smart devices are electronic devices or gadgets that have the ability to interact, connect and share information with other smart devices. It is often associated with the term the ‘internet of things'. The Internet of things refers to a network of devices that gather data and share information with each other through the internet. This includes things like smartphones, fitness trackers, smart tvs, smart speakers and much more. What are smart devices? What are the advantages of smart devices? How can I protect my data from misuse? In under 3 minutes, we answer your questions! To listen to the last episodes, you can click here: ⁠⁠How does eldest daughter syndrome affect some women?⁠⁠ ⁠⁠What is a kakistocracy, in the world of work ?⁠⁠ ⁠⁠What does vaping do to the body?⁠⁠ A podcast written and realised by  Amber Minogue. First broadcast: 17/1/2023 Learn more about your ad choices. Visit megaphone.fm/adchoices

Colin Angle didn't start out trying to clean people's floors.He started out trying to shape the future–with robots. In the early days of iRobot, there was no business model. No steady funding. No clear customer.Just a belief that robotic technology would one day make the world a better place. In the early days, the company built babbling toy dolls for Hasbro, and roving bomb-detectors for the military.But for more than a decade… nothing truly took off. Until one idea—a robot vacuum—finally did. With the Roomba, iRobot created a category from scratch, and a product that felt almost like a member of the family. Tens of millions of units sold, and the Roomba became part of popular culture. But to avoid stagnation, iRobot had to sell to a bigger company. When a lucrative deal with Amazon fell through, the company hit a wall–and never recovered. This is a story about building a business in survival mode, creating a household icon, and eventually getting bested by forces beyond your control. What You'll Learn How to launch a company when you're not sure who your customers areWhy iRobot engineers underestimated marketing (and paid for it later)How piles of Cheerios helped sell the RoombaHow iRobot shored up customer loyalty when the Roomba faltered Why even a hero product is not enough to sustain a companyHow competition–and regulation–can unravel a businessTimestamps 7:25 - “What have you built?”: The robotics lab job application.12:25 - iRobot's early business model: contracts, not consumers.25:05 - Breaking into the toy market: The doll with a mind of its own.36:10 - A key cleaning insight: people will pay hundreds—but only if it vacuums.39:10 - The office Cheerios demo that won a retailer.44:20 - A soaring launch, then stagnation: 250,000 vacuums stuck in inventory.46:10 - The ad (for Pepsi!) that turbocharged Roomba. 55:55 - The need to diversify: robotic scrubbers, mops, pool cleaners? 58:00 - The $1.7 billion offer from Amazon–and how it unraveled.1:03:40 - Life after Roomba. This episode was produced by Katherine Sypher with music composed by Ramtin Arablouei. It was edited by Neva Grant with research help from Noor Gill. Our engineers were Patrick Murray and Kwesi Lee. Follow How I Built This:Instagram → @howibuiltthisX → @HowIBuiltThisFacebook → How I Built ThisFollow Guy Raz:Instagram → @guy.razYoutube → guy_razX → @guyrazSubstack → guyraz.substack.comWebsite → guyraz.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In today's talk, I share why I went from loving the Roomba to hating it. You will learn the deeper lessons of automation. CONQUER SHYNESS

What if angreal weren't rare at all? In this episode of the Black Tower Podcast, we dive deep into a wild but surprisingly grounded theory about the The Wheel of Time—that during the Age of Legends, angreal may have been everyday tools, not legendary artifacts. From household conveniences to medical devices and even industrial applications, we explore the idea that the angreal we see in the books are just the survivors of the Breaking of the World, not the full picture. Are modern Aes Sedai unknowingly using the scraps of a once hyper-advanced magical society? This episode blends lore, logic, and a little chaos as Andrew and Reese break down what the Age of Legends might really have looked like—and what we've lost since.

The White House has horny pun fun with sex-working farmers. Marco Rubio wants you to know he listens to rap music while various prediction market fiascos continue to surround the non-war with Iran. Also, Iran hacked the FBI director's emails and we learned that he pays for porn? Yeah, Kash Patel pays for porn. Then we get into the overlords' obsession with replacing teachers with A.I. ,which somehow led to the first lady having to hang out with a Roomba with feet.

On the latest Episode of Enormocast we bring you the long awaited 2026 installment of Last Rites FKA Taps: the annual show where we air our grievances, talk shit about our fellow climbers, and have a good time doing it. As is the recent tradition, the fodder for our silliness is coming from listeners like … Continue reading "Enormocast 320: Last Rites FKA Taps 2026 – The Roomba Your Way to the Top Edition"

The Supreme Court ruled 6-3 last week that the International Economic Emergency Powers Act does not give the president authority to impose tariffs—Alito, Kavanaugh, and Thomas dissenting. The administration now scrambles to implement its tariff policies as appeals and new legislation proceed. Meanwhile, America counts its treasures as the Winter Olympics close out: 12 gold medals, one among them won by the daughter of a Chinese refugee to the States. Go us! Plus: the AI overlord of the 7,000-strong Roomba army, and more.Recommended:The Tariff Wears Two Hats: What the SCOTUS Majority OverlookedWatch with video on Youtube This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit claremontinstitute.substack.com/subscribe

In the thrilling return of Three Aces and a Joker, Cyan jumps on the pod to help kick off our first all Q&A episode of chill year! We answer 50 full minutes of your hardest hitting questions, and reveal insider info. For example, did you know Viggo actually broke his toe when he kicked that helmet? Our podcast, like our videos, sometimes touches on the violence, assaults, and murders your English required reading list loves (also we curse sometimes). Treat us like a TV-14 show.Preorder Aurora Volume 2 Today:https://comicaurora.com/books/OSP has new videos every Friday:https://www.youtube.com/c/OverlySarcasticProductionsChannelQuestion for the Podcast? Head to the #ask-ospod discord channel:https://discord.gg/OSPMerch:https://overlysarcastic.shopFollow Us:Patreon.com/OSPTwitter.com/OSPyoutubeTwitter.com/sophie_kay_Music By OSP Magenta ★ Support this podcast on Patreon ★