Podcasts about Ender

We check in on our June reading of Red Rising by Pierce Brown. Why do romantasy people like this? Veronica is making a tincture. And we have fun coming up with a Sci-Fi/Fantasy equivalent of the EGOT. Hosted on Acast. See acast.com/privacy for more information.

Rune Lykkeberg har i denne uge talt med den amerikanske historiker og tidligere præsidentrådgiver Graham Allison om hans berømte teori om 'Thukydids fælde' og risikoen for en storkrig mellem Kina og USA. --- Ugens gæst i Langsomme samtaler er den 86-årige amerikanske historiker Graham Allison. Han har grundlagt John F. Kennedy School of Government ved Harvard University. Han har vejledt seks på hinanden følgende amerikanske præsidenter. Og i seks årtier har han tilhørt den absolutte top inden for den geopolitiske tænkning i USA. Mange af dem, der i dag rådgiver administrationen, er blevet uddannet af ham. Graham Allison skrev for snart 10 år siden en bog, som vakte stor opsigt: Destined for War: Can America and China Escape Thucydides' Trap? (2017). Det er en bog, som handler om, hvordan det mest sandsynlige er, at USA og Kina ender i krig. Og det viser Graham Allison ved at gå tilbage til Thukydid, som i sin berømte bog om Den Peloponnesiske Krig skrev om dialektikken mellem en regerende stormagt og en opstigende stormagt. Mellem en stormagt, som er på toppen, og en stormagt, som er på vej mod toppen. Og når der er nogen, der har magten, som bliver udfordret af nogen, der vil have magt, så bliver det enormt farligt. Det var det, Thukydid viste: at frygten for, at de andre vil overtage magten, tit udløser en krig, som ingen af de to parter rent faktisk ønsker sig. Det er lykkes Allison at bringe denne historiske analogi ind i centrum af tænkningen mellem verdens to supermagter. Både amerikanske og kinesiske diplomater bruger i dag udtrykket, og da Donald Trump tidligere på året mødtes i Beijing med Xi Jinping, talte også den kinesiske præsident om, at USA og Kina ikke måtte ende i Thukydids fælde.  I slutningen af 2025 skrev Graham Allison et essay i Foreign Affairs, som gjorde stort indtryk på Rune Lykkeberg. Det slår fast, at tiden fra 2. verdenskrig og indtil nu er den længste periode i den kendte historie siden Romerriget, som er gået uden krig mellem stormagter. Vi lærer altså nu, at det, vi troede var normalt, i virkeligheden var historisk exceptionelt. Det, Graham Allison kalder 'den længste fred', kan snart være forbi. Spørgsmålet er: Hvad stiller man op, når den længste fred måske er på vej mod sit udløb? Hvad kan vi lære af dem, der faktisk formåede at skabe fred? Og kan den nuværende situation mellem USA og Kina – hvor begge parter ser ud til at have forladt den meget konfrontatoriske kurs med handelskrig og toldsatser – være vejen til en fredsbygning? Det vil blive endevendt og analyseret i løbet af denne samtale mellem Rune Lykkeberg og Graham Allison.

Sebastian Mallaby (@scmallaby) is the Paul A. Volcker senior fellow for international economics at the Council on Foreign Relations, a two-time Pulitzer Prize finalist, and the author of six books, including More Money Than God, The Power Law, The Man Who Knew, and The World's Banker. His latest book is The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence.This episode is brought to you by:Eight Sleep Pod Cover 5 sleeping solution for dynamic cooling and heating: EightSleep.com/TimAG1 Pro all-in-one nutritional supplement: DrinkAG1.com/TimWealthfront high-yield cash account: Wealthfront.com/Tim Wealthfront disclaimer: New clients get 3.30% base APY from program banks + additional 0.75% boost for 3 months on your uninvested cash (max $150k balance). Terms and conditions apply. The Cash Account offered by Wealthfront Brokerage LLC (“WFB”) member FINRA/SIPC, not a bank. The base APY as of 1/30/26 is representative, can change, and requires no minimum. Tim Ferriss, a non-client, receives compensation from WFB for advertising and holds a non-controlling equity interest in the corporate parent of WFB, which creates a conflict of interest. Individual experiences and outcomes will differ. Instant withdrawals may be limited by your receiving firm and other factors. Investment advisory services provided by Wealthfront Advisers LLC, an SEC-registered investment adviser. Securities investments: not bank deposits, not bank-guaranteed or FDIC-insured, and may lose value.*Timestamps[00:00:00] Start.[00:02:11] The twinkly eyed polymath who became Sebastian's next book.[00:06:55] Picking the next book project the way a great VC picks a startup.[00:09:41] Why God keeps crashing the superintelligence party.[00:11:13] Shane Legg's grainy 2009 prophecy — and the nervous giggle.[00:13:11] Ilya Sutskever burns an effigy.[00:13:54] Demis at 4 a.m., hunting God's algorithm.[00:18:43] Super-abundance, Mad Max, and the China shock lesson.[00:22:39] The kitchen debate with Geoff Hinton that flipped Sebastian.[00:24:06] Why a zero-percent chance of doom is indefensible.[00:24:52] Will Washington seize the labs? The Mythos wake-up call.[00:27:18] Anthropic's bull case, bear case, and a dead parent's letter.[00:33:24] Where Sebastian and Benedict Evans part ways.[00:38:16] Is the SaaS apocalypse overdone? One word: Palantir.[00:39:53] The AI friend you'll never switch.[00:41:56] Does Google win consumer AI by default?[00:44:45] Four cities, eight days: China actually talks safety.[00:47:28] A Cold War non-proliferation playbook for AI.[00:49:45] Did the chip export controls actually work?[00:51:49] Burned doves: why Washington swears China won't talk.[00:54:56] "By 2028, the race is over" — one lab boss' bet.[00:59:11] Inside Hikvision: toddlers, sensors, and US sanctions.[01:01:07] Bill Gurley's Uber bet: venture capital perfected.[01:05:18] Luke Nosek bear-hugs DeepMind into existence.[01:10:52] Thiel's heresy: never invest by committee.[01:11:59] How Founders Fund nearly fumbled the deal of the century.[01:14:30] Selling to Google for $650M: a secret British heist?[01:16:41] The Traitorous Eight, gardening leave, and the UK's to-do list.[01:20:55] Ender's Game: "That's really how I see myself."[01:23:42] Too dumb for Gödel, Escher, Bach? Maybe an LLM can help.[01:25:19] If not Demis or Sam, then Dario.[01:26:04] My royalties cliff — and what dropped in late 2022.[01:27:47] Lila Sciences and the labs that run themselves.[01:31:13] Sebastian's billboard: "Prepare your mind."[01:35:14] The one thing Sebastian will never outsource to AI.[01:40:09] Parting thoughts.For show notes and past guests on The Tim Ferriss Show, please visit tim.blog/podcast.For deals from sponsors of The Tim Ferriss Show, please visit tim.blog/podcast-sponsorsSign up for Tim's email newsletter (5-Bullet Friday) at tim.blog/friday.For transcripts of episodes, go to tim.blog/transcripts.Discover Tim's books: tim.blog/books.Follow Tim:Twitter: twitter.com/tferriss Instagram: instagram.com/timferrissYouTube: youtube.com/timferrissFacebook: facebook.com/timferriss LinkedIn: linkedin.com/in/timferrissSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Food truck-y dealSome excellent cover songs…and others not so muchThings song needs a keyboardBrandon is on his own summer reading programOther random sci-fi booksgeopolitical hegemony Monroe Doctrine: https://www.archives.gov/milestone-documents/monroe-doctrine Chapters 7, 8, 9 of Ender's GameBrandon's HaikuA row of marqueesScents blending enticinglyHow is one to chooseCheck out our other episodes: ohbrotherpodcast.comFollow us on InstagramCheck us out on Youtube

This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Morten G. Ender, Ryan Kelty, and Irving Smith's article entitled, 'Sociology at West Point'. All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research. The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies. Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work. The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences. All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.

This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Morten G. Ender, Ryan Kelty, and Irving Smith's article entitled, 'Sociology at West Point'. All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research. The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies. Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work. The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences. All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.

Det er mere end 100 dage siden, at Donald Trump og Benjamin Netanyahu sammen gik i krig mod Iran for at forhindre landet i at få atomvåben. Men siden da er deres mål vokset i forskellige retninger, og Israel fortsætter med at bombe mål i Iran, selv om Donald Trump desperat forsøger at få dem til at lade være. For nu er det blevet Trumps vigtigste mål at få åbnet Hormuzstrædet. Vores gæst i dag er Politikens Anders Jerichow. Han har i årtier dækket konflikterne i Mellemøsten, og vi spørger ham, hvad der er sket mellem Trump og Netanyahu – og hvordan Trump kan lykkes med at stoppe den snebold, han selv har fået til at rulle i Mellemøsten. Vært: Kathrine Rossau Producer: Sille Westphal Research: Karoline Bentzen Redaktør: Line PraszSee omnystudio.com/listener for privacy information.

VM er lige oppe over, og det er større end nogensinde før. Derfor kaster Fodboldlisten sig også ud i sin største liste til dato med en top 48 over alle de nationer, der skal med til VM 2026. Hvem vinder, hvem ryger ud lige før semifinalerne og hvilken nation ender som nummer sjok? Andreas Kraul og Mads Thyrsted arbejder sig møjsommeligt igennem alle lande til de når frem til vinderen. Og for enden af regnbuen venter en gave fra Fodboldlisten. Vært: Thomas Loft

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

Alpha Warrior and Josh Reid finally get to take a victory lap. The leaked Trump and Netanyahu phone call dropped this week, the one where Trump reportedly told Bibi he would be in jail if it weren't for him, and even Mark Levin confirmed the leak was real. Josh argues the White House leaked it themselves as a strategic move, and the entire save Israel for last thesis Alpha and Josh have been pushing for over a year just got vindicated in public. From there the guys unpack Chevron's grip on Israeli oil infrastructure, why Trump fired Rick Grenell for trying to renegotiate the Chevron deal in Venezuela, the Israel to Gaza pipeline play, the six hundred billion dollar defense pacts that make Gaza essentially untouchable, and why Megyn Kelly went on Sean Ryan in full doom mode this week. The deep state operatives got caught flat footed and the unified messaging took hours to spin up. Plus Bill Pulte rug pulling Tom Cotton for DNI and the genius double hat strategy that gives Pulte mortgage fraud and intelligence community access simultaneously, the Iranian decentralized ELF command structure, the Q plus comms cascade with double posted patriots are in control memes, and Scavino's every journey has an end tied to Ender's Game.

This week on Panel Chewing Pick of the Week, Steve and Jarrod dive into another packed week of comics, graphic novels, and manga. They discuss the disappointing return of Capes #7, the intriguing mystery behind The Fury of Firestorm #2, and whether Honor and Curse Eternal #3 continues to build momentum. Jarrod shares his thoughts on Megalith: The Olympus Saga #1 and revisits Ender's Game through its graphic novel adaptation, while Steve explores the latest issues of The Peril of the Brutal Dark, King Spawn, Pretty Hate Machine, and Red Roots.For their Picks of the Week, Jarrod highlights Gareth Hinds' stunning deluxe adaptation of The Odyssey, while Steve champions the latest issue of Geiger/Hyde Street as one of the strongest books currently on shelves.The episode wraps up with the ongoing group read of Lone Wolf and Cub Volume 2: The Gateless Barrier, where they discuss the series' unique storytelling, philosophical themes, historical Japanese culture, and why this classic manga continues to impress decades after its original publication.Join the conversation, read along with the group, and let us know what your pick of the week was!Keep Page Chewing Ad FreeBooks discussed (Amazon Affiliate links):Capes 7The Fury of Firestorm 2Honor and Curse Eternal 3Megalith 1The Peril of the Brutal Dark 4King Spawn 55Pretty Hate Machine 2Enders GameRed Roots 2The Odyssey Hyde Street 12Lone Wolf and Cub Volume 2Podcast equipment used (Amazon Affiliate links):Rodecaster DuoRode PSA1+ Professional Studio ArmRode Procaster Microphone

We've all been there.You pick up a fantasy, sci-fi, or horror novel because the cover looks incredible… and then discover the story inside has almost nothing to do with what the artwork promised.Today we're counting down 50 of the most misleading SFFH book covers ever published — from fantasy heroes who look twice the correct age, to science fiction novels advertising giant space battles that never happen, to horror covers that completely miss the point of the story inside.To be clear, this episode is not about criticizing cover artists. Many of these covers are beautiful, iconic, and beloved. More often than not, artists were creating exactly what publishers commissioned them to create. But sometimes marketing decisions, genre trends, and publisher expectations produced some truly legendary mismatches between cover and content.Which books made the list?Did classics like Foundation, Ender's Game, The Wheel of Time, Old Man's War, and House of Leaves earn their reputations?And what book cover do YOU think most completely misses the point of the novel it represents?Let us know in the comments!If you enjoy fantasy, science fiction, horror, book reviews, rankings, lists, debates, and other nerdy content, be sure to Like, Subscribe, and Ring the Notification Bell so you won't miss future episodes from Fantasy for the Ages.Want to help support the channel and receive some fun perks? Consider joining us on Patreon!: patreon.com/FantasyForTheAges#FantasyBooks #ScienceFictionBooks #HorrorBooks #BookCovers #FantasyForTheAges #BookTube #Fantasy #ScienceFiction #Horror #WheelOfTime #Foundation #EndersGame #HouseOfLeaves #OldMansWar #BrandonSanderson #StephenKing #FantasyReaders #SciFiReaders #BookDiscussion⸻Ways to connect with us:Follow Jim/Father on Goodreads: https://www.goodreads.com/user/show/13848336-jim-scriven Join us on Discord: https://discord.gg/jMWyVJ6qKk Follow us on "X": @Fantasy4theAges Follow us on Blue Sky: @fantasy4theages.bsky.socialFollow us on Instagram: fantasy_for_the_ages Follow us on Mastodon: @FantasyForTheAges@nerdculture.de Email us: FantasyForTheAges@gmail.com Check out our merch: https://www.newcreationsbyjen.com/collections/fantasyfortheagesJim's Microphone: Blue Yeti https://tinyurl.com/3shpvhb4 Jim's Camera: Razer Kito Pro https://tinyurl.com/c873tc2n 0:00 - Opening1:02 - Episode Explanation2:04 - Mildly Misleading (50-41)6:19 - Clearly Sending The Wrong Signal (40-31)10:16 - Significant Disconnect (30-21)14:26 - Frequently Mocked By Fans (20-11)18:45 - The Top 10 Hall of Shame24:29 - Wrap-up & Conclusion————————————————————————————Music and video elements licensed under Envato Elements:https://elements.envato.com/

In this episode of the Hugonauts we're breaking down what truly defines great Young Adult fiction and answering the ultimate question: do these books actually hold up when you read them for the first time as an adult? We look at the core guidelines of YA literature—from exploring the human condition through a young protagonist's eyes to (ideally) teaching profound stuff that resonates beyond teenhood.  We count down the absolute best YA sci-fi books and YA fantasy recommendations. We dive into legendary dystopian hits like The Hunger Games by Suzanne Collins and Ready Player One by Ernest Cline, masterclass sci-fi like Ender's Game by Orson Scott Card and Red Rising by Pierce Brown, and classic fantasy staples like Harry Potter by J.K. Rowling, J.R.R. Tolkien's The Hobbit, Philip Pullman's The Golden Compass, and C.S. Lewis's The Chronicles of Narnia. But we don't just look at the masterpieces.  We also separate the true YA novels from books that are actually meant for middle-grade kids (like The Giver, Redwall, and The Phantom Tollbooth). Finally, we tackle the controversial "duds" of the genre. Why are massive bestsellers like The Maze Runner, Divergent, and Scythe so incredibly popular, and why did they fall totally flat for us? Grab your reading list and let's find out which books are actually worth your time!  No spoilers anywhere in this episode. Join the Hugonauts book club on discord Or you can watch our episodes on YouTube if you prefer video This episode is sponsored by Memoirs of the End by Vincent Rylan All the books we recommend, plus timestamps: 00:00 The Hunger Games by Suzanne Collins  04:16 Ender's Game by Orson Scott Card  07:02 The Chrysalids by John Wyndham  08:55 SPONSOR - Memoirs of the End by Vincent Rylan  09:30 Ready Player One by Ernest Cline  12:54 Illuminae by Amie Kaufman & Jay Kristoff  15:20 Red Rising by Pierce Brown  18:47 Tomorrow, When the War Began by John Marsden  20:15 A Series of Unfortunate Events by Lemony Snicket  22:39 The Hobbit by J.R.R. Tolkien  23:56 The Golden Compass by Philip Pullman  26:40 The Chronicles of Narnia by C.S. Lewis  29:10 The Wee Free Men by Terry Pratchett  31:38 Powers by Ursula K. Le Guin  34:14 The Wind Through the Keyhole by Stephen King  35:14 The Graveyard Book by Neil Gaiman  36:55 Harry Potter by J.K. Rowling  39:10 Redwall by Brian Jacques 41:17  Mrs. Frisby and the Rats of Nimh by Robert C. O'Brien  41:55 The Giver by Lois Lowry  42:41 The Phantom Tollbooth by Norton Juster  43:34 Artemis Fowl by Eoin Colfer  44:40 Cinder by Marissa Meyer  45:56 Running Out of Time by Margaret Peterson Haddix  46:54 How are these duds so popular?

Eternal flame...kinda Climmaxxing Carrotmaxxing Thorpies Undercover Angels Grand finalists revealed for Australia's Best: Kid in a TV Commercial LINKS Alex Dyson's new book 'The Apocalypse and Other Mild Inconveniences' HERE Listen to Chopped Unc Mixtape, an album by Boilermakers on #SoundCloud HERE TICKETS TO MATT OKINE AUSTRALIAN COMEDY TOUR HERE If you've got something to add to the show, slide into our DMs @matt.and.alex CREDITSHosts: Matt Okine and Alex Dyson Produced by: Bronwyn Dojcsak Post Production: Darcy Thomson Find more great podcasts like this at www.listnr.com See omnystudio.com/listener for privacy information.

Andrea Ender, Professorin für Germanistische Linguistik mit Schwerpunkt Deutsch als Zweitsprache, im Gespräch mit Joachim über Geschichte und Gegenwart des un- oder teilstrukturierten Deutschlernens im deutschsprachigen Raum und seine Erforschung.

We start our first series of Harrison Ford themed movie reviews for this month. What better way than to highlight all his various War/Western films?   MOVIES REVIEWED: A Time for Killing, Journey to Shiloh, The Intruders (1970), Judgment: The Court Martial of Lieutenant William Calley, The Frisco Kid, Hanover Street, K-19: The Widowmaker, Cowboys & Aliens, Ender's Game & Call of the Wild (2019)     GUESTS: Will Styer, Night Taylor, Jon Mark & Joseph Burke           CLIPS USED: Harrison Ford K-19 The Widowmaker interview (with Roger Ebert), Journey to Shiloh trailer & Judgment: The Court Martial of Lt. William Calley (1975) clip

Løkke lovede at holde fløjene ude af indflydelse. Ender han med at gøre det modsatte? Og hvad gør Venstre og Konservative? Vi taler om Venstres krise, for hvis Løkke kan lave regering hen over hovedet på Venstre, hvad er Venstre så egentlig til for? Samtidigt ulmer de interne kampe i Socialdemokratiet, hvor Mette Frederiksen kan blive tvunget til at afgive Finansministeriet for at få en regering på plads. Og hvad er status på kampen mellem Wammen og Hummelgaard? Det her er Borgen Unplugged. Her får du det hele. Og lidt til. Martin Flink har spørgsmålene. Anders Langballe har svarene.

Er Løkke ved at begå løftebrud og danne regering med de rødeste? Med støtte fra Enhedslisten og Alternativet? Kan vælgerne stole på Lars, når det gælder jagten på magten? Det er fem uger siden folketingsvalget. 57 procent af danskerne vil gerne hurtigt have en ny regering, hvor længe skal vi vente? Ender det med en rød-lilla regering? Du kan blande dig i debatten ved at ringe ind fra 12:15-13:30 på 7021 1919 eller send en sms til 1212. Medvirkende: Ellen Emilie, nyvalgt til Folketinget, Moderaterne Joachim B Olsen, podcastvært, BT, borgerligt Tabloid Nikolaj Bøgh, Frederiksberg kommunalbestyrelse, Konservative Folkeparti Gry Inger Reiter, debatredaktør på Information Jan E Jørgensen, tidl. politisk ordfører, Venstre Vært: Gitte Hansen Tilrettelægger: Oliver Breum Producer: Siw Søby Rasmussen

What happens when the person building the world's most powerful technology is just as worried about it as we are? Sebastian Mallaby, the Pulitzer Prize-nominated author of The Infinity Machine, joins host Zachary Karabell to pull back the curtain on Demis Hassabis, the founder of DeepMind who is currently leading the global charge into artificial intelligence. From the "Ender's Game" mission that drives Hassabis to the chilling logic of why machines might accidentally develop a "survival instinct," this episode explores the mindset of the people shaping our future. Mallaby and Karabell discuss the "infinity" of data required to make these systems work and why the massive hunger for compute power is reshaping the global economy in real-time . Drawing a haunting parallel to Alan Greenspan and the 2008 financial crisis, Mallaby asks a difficult question: Can "the man who knew" the risks actually prevent the catastrophe he sees coming?. Together, they navigate the tension between pure scientific discovery and cutthroat Silicon Valley competition, the potential for a "Nuclear Non-Proliferation" style agreement with China, and the hidden dangers of the "open vs. closed" model debate.What Could Go Right? is produced by The Progress Network and Kaleidoscope.For transcripts, to join the newsletter, and for more information, visit: theprogressnetwork.orgSubscribe to our (FREE) Substack newsletter: https://theprogressnetwork.org/newsletter/Watch the podcast on YouTube: / theprogressnetworkFollow us on X, Instagram, Facebook, TikTok: @progressntwrkSubscribe to Zachary's Substack: www.edgyoptimist.substack.com/Follow him LinkedIn: www.linkedin.com/in/zacharykarabell

Our website - www.perksofbeingabooklover.com. Instagram - @perksofbeingabookloverpod Facebook - Perks of Being a Book Lover. To send us a message go to our website and click the Contact button.   You can find Aaron Starmer at www.aaronstarmer.com or on IG @aaron_starmer.   This week on the podcast we welcome middle grade and young adult novelist Aaron Starmer whose most recent book, You Are Now Old Enough to Hear This, is a quirky middle grade novel about a Toe Beast and a girl who travels with a pack of dogs and a boy named Roman who learns some family secrets.  That sounds like a lot so we are glad Aaron joins us to explain it all in a much more succinct way than we ever could. And his 2025 YA novel Night Swimming just came out in paperback this week. And our book recommendation segment of the show is about aliens because what pairs better with a quirky novel than some extraterrestrials? We have Hugo- and Nebula Award-winning titles, a book about alien garbage, a wacky buddy road trip adventure, literary fiction about a girl who doesn't feel human, and a philosophical first contact story starring the Catholic Church.   Books Mentioned in this Episode:   1- You Are Old Enough To Hear This by Aaron Starmer 2- Night Swimming by Aaron Starmer  3- The Last Garden in England by Julia Kelly  4- Dungeon Crawler Carl by Matt Dinniman 5- Project Hail Mary by Andy Weir  6- The Humans by Matt Haig  7- The Riverman by Aaron Starmer 8- The Parable of the Sower by Octavia Butler  9- Pathogenesis: A History of the World in Eight Plagues by Jonathan Kennedy 10- The Art of Vanishing by Morgan Pager  11- A 5 Star Read by Fellow Book Lover Tess @books_andthebeach - Shy Creatures by Clare Chambers  12- The Long Way to a Small Angry Planet (Wayfarers #1) by Becky Chambers  13- The Sparrow by Mary Doria Russell  14- Roadside Picnic by Arkady and Boris Strugatsky  15- Beautyland by Marie-Helene Bertino  16- Ender's Game by Orson Scott Card  17- The Road to Roswell by Connie Willis  Media Mentioned in this Episode: 1- Whitehall Book Club - https://www.historicwhitehall.org/whitehall-book-club 2- Resident Alien - (2021-2025, Netflix) 3- Project Hail Mary (2026)      

This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Morten G. Ender's article entitled, 'G.I. phone home: The use of telecommunications by the soldiers of Operation Just Cause AI Pod.' All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research. The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies. Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work. The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.

Step into a creative and inspiring episode of the Wise_N_Nerdy podcast as Joe is joined by author Jared Abram Barneck for a conversation that blends storytelling, fandom, and real-life creative journeys. The episode begins with a behind-the-scenes look at the making of Jared's book Technically Magic, with Joe sharing his experience as a beta reader. Their discussion offers a unique glimpse into the writing process—highlighting the collaboration, trust, and refinement that go into bringing a story to life. It's a fascinating starting point for anyone curious about what happens before a book ever reaches readers. From there, the Question of the Week sets the stage: “What is your favorite book to movie adaptation?” The conversation quickly turns into a celebration of beloved stories that successfully made the leap to the big screen. Classics like The Lord of the Rings and Harry Potter come up as shining examples of adaptations done right, sparking nostalgia and thoughtful discussion about what makes a story work across different mediums. With the roll of the dice, the episode shifts into the “Parliament of Papas” segment, where Joe and Jared unpack a Reddit story involving harsh criticism directed at a new author. Drawing from Jared's own experience, the conversation explores the fine line between constructive feedback and discouraging negativity—offering valuable insight for creators navigating criticism in any field. Next, the dice lead into the “How Do I…?” segment, where Jared shares his personal journey into becoming an author. From early inspiration to taking the leap into publishing, his story is both practical and motivating for aspiring writers. For those interested in learning more about his work and creative projects, be sure to check out his website: jabrambarneck.com. Of course, no Wise_N_Nerdy episode would be complete without a burst of humor, and the hosts deliver with a round of Bad Dad Jokes that are as groan-worthy as they are entertaining—bringing levity to an already dynamic conversation. Finally, the episode wraps up with the “What Are You Nerding Out About?” segment, where Jared shares an unforgettable moment: being on a panel with Orson Scott Card, who even read the back cover of his book Fire Light. This leads naturally into a discussion of Ender's Game and its lasting impact on science fiction and storytelling. Meanwhile, Joe dives into his latest anime interest, Kusunoki's Garden of Gods, sparking a broader conversation about how anime continues to grow in popularity and become more mainstream across audiences. This episode is a celebration of creativity, perseverance, and the power of storytelling across books, film, and fandom. Whether you're an aspiring author, a lifelong nerd, or just someone who loves a great conversation, there's something here for you. So join the journey, embrace your passions, and don't forget to Find your FAMdom. Wise_N_Nerdy: Where Fatherhood Meets Fandom Learn more about your ad choices. Visit megaphone.fm/adchoices

Aviv Shapira, the co-founder and CEO of XTEND, joins the show to discuss his journey from competitive drone racing to building groundbreaking defense technology. How are drone swarms changing warfare? What are the ethical implications of AI weaponry? What happens if this technology falls into the wrong hands? And what comes next? 01:58 Aviv's background04:46 Replay technologies08:28 VR Messi08:58 Xtend description09:55 Drone racing12:56 Headset importance14:13 Ender's Game17:02 AI drones21:34 Tunnel warfare27:11 Diversity of drone needs30:41 Drone swarms34:16 Human machine teaming37:10 Rule of three41:52 Ethical questions44:11 Future of munitions45:26 Xtend business model49:23 Future of this technology52:22 Tech in enemy hands Follow along on Instagram, X @schoolofwarpod, and YouTube @SchoolofWarPodcast Find more at The Free Press.

Kung may Genesis ang ACDC Universe, eto ang EXODUS, ang REVELATION !! Thank you sa aming favorite co-hosts : Ueda-san, Dior and Giwan. And ang abot na pasasalamat nina Dusco and Clara sa lahat! Ang mga huling habilin : Bawal ang bitin! Always make it good! Love Sex, and love sex good and with a purpose !!! Au revoir !!!! Hosted on Acast. See acast.com/privacy for more information.

Casey Starling and Kink BMX have parted ways. Check out what Casey and Kink BMX Team manager had to say about the situation and the speculation buzzing online. This same week Diego Bravo's Deliverables Project ender was leaked by a random non BMX Instagram account which brings up some questions of their own. Hit play and see what Ryan Fudger and Brian Kachinsky have to say about what went down. Thanks to Dales, and Monticule for supporting the Unclicked Podcast!https://oskarblues.com/dales/ / https://monticule.coUse code "Unclicked" for 10% off at https://monticule.coEnter Instagram Monticule Clip of The Month for your chance to win a $100 voucher for their store.To enter, go to https://monticule.co and share the URL of your IG clips. Hosts:Ryan Fudger: https://www.instagram.com/fyanrudger/Brian Kachinsky: https://www.instagram.com/bkachinsky/

Bigay todo na 'to! Kse huli na nga, TWENTY (20) ang babasahin ni Clara. Napagod sya! Si Dusco, na-bored, inantok! Sinabi na kseng dapat lima lang lagi, eh. Hosted on Acast. See acast.com/privacy for more information.

In this episode, Madeline chats with her Donan Scholl, creator of the upcoming sci-fi tabletop game Watchpoint--the game that inspired Madeline's favorite novel Markmaker. During their conversation, they discuss the video games that inspired the world, St. Carlo Acutis and video games, the Watchpoint world and lore, and how it inspired Markmaker,  and so much more.During the course of their conversation, they make many references which you can explore. Some of these references include Markmaker by Mary Jessica Woods (which you can procure here), Ender's Game by Orson Scott Card, and The Expanse series by James S.A. Corey. You can also follow along with Donan's work on Watchpoint on the official Watchpoint instagram account.Feel free to like, subscribe, and share the episode! Follow us on Instagram! @sbltfpodcast

Exploring Bogus oil prices Hold cow – look at what Gemini and JSD can do… Markets needed good news – Correlation high Fed on hold? PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter   Warm-Up - Bogus Oil Prices - Look at what Gemini and JSD can do... - Markets needed good news - Correlation high - Fed on hold? - JCD LIMERICK! Markets - Did we just correct? - Inflation - Eco that matters - Manipulation in Oil - Land? John Dvorak Jr. - Guest  - UPDATE ON JCD - AH Spoke with JCD Saturday.... Oil Prices - Bogus? - The price of oil in the middle east is at $140 for its land-locked price, but ocean traveling oil is at $100. - Sort, of, opposite of what you'd expect? - But, then there's been active conversation and warning about manipulating oil futures to manage the situation. - Oil in Backwardation across the spectrum. (Current price of oil contract is $95 and December contract is $75) Oil Prices may be BOGUS - But What About Gas? Gas Prices More Manipulation - The Trump administration has discussed trading in the oil futures market as a strategy to help curb surging crude prices amid the war in Iran, Interior Secretary Doug Burgum said. - US would just sell future contracts and then deliver at those prices at the end of the contract date. (SPR/Venezuela?) - Not sure how markets will take an intervention like that. - Remember when short selling was banned on Financials back in the 2008 ----Stock prices continued to fall during the ban and tended to stabilize only after it was lifted, suggesting the ban did not stop the decline. ------ Seems that when government intervenes in free markets they can set off more panic as the optics make it look even worse. ---- AND- Russian Oil sanctions partially removed Inflation and ECO - PCE Prices stay elevated - GDP rose at a seasonally and inflation-adjusted annual rate of just 0.7% in the fourth quarter, according to a Commerce Department revision Friday. - The first revision of the GDP reading was a sharp step down from the previous estimate of 1.4% and well below the Dow Jones consensus forecast for 1.5%. - The core PCE inflation rose 0.4% in January and 3.1% on a 12-month basis. The ex-food and energy reading was 0.1 percentage point higher than December. Eco Table Oil Models...Very Cool - JSD - Explain - https://gemini.google.com/share/d1427a61a804 Department of Defense, err War, is hiring - The Pentagon is hiring financial 'defense', or is that a financial warfare unit? - This may mean we're beginning to really adopt "Unrestricted Warfare (???) ----- ie: The Chinese strategy where the warfare model is extended to include social engineering, illicit trade, and finance operations. - Isn't this already in play? Tariffs, Straits of Hormuz, Asset Seizure (Russian Yachts), Venezuelan Oil???? --- This is why Quantum is in play too...(offense and defense) Did you know? - 30% of Helium production comes from Qatar - Qatar helium production stopped back on March 2nd, and is ~30% of all helium globally - South Korea depends almost entirely on helium from the strait of Hormuz, with 65% from Qatar specifically -  Semiconductor manufacturing - - Wafer/equipment cooling — High thermal conductivity removes heat fast during lithography, etching, deposition, and other steps; critical for precise temp control and smaller chip nodes (no good substitutes). - - Inert purging & atmospheres — Chemically inert; flushes systems, prevents unwanted reactions in annealing, deposition, or vacuum chambers. -- - Plasma processes — Acts as carrier, diluent, or purge gas in plasma etching for precise circuit patterning. - - Leak detection — Tiny atoms detect micro-leaks in tools, pipelines, and vacuum systems to ensure reliability. - - Backside wafer cooling — Delivers stable cooling to silicon wafers in advanced fabs. INDIA! Running out of Gas - Does it matter? - India maintains only a 25 day reserve of oil - Good news for them that they use coal for electricity generation, and only use oil for transportation - BUT BUT BUT, What about getting goods from one place to another in India? -- FWIW - coal prices up 19% YTD in India Back to this... - AI not causing job losses - WHAT ABOUT META? - Meta's stock climbed after Reuters reported the social media giant is planning to lay off over 20% of its 79,000 employees to balance AI-related spending. Drone Warfare - New Warfare fought like games - Ender's Game Movie - Length: 3.5 meters (about 11.5 feet) Wingspan: 2.5 meters (about 8.2 feet) Weight (total takeoff/mass): Approximately 200 kg (around 440 pounds) Warhead/payload: Typically 40–50 kg explosive (some variants up to 90 kg with reduced fuel/range) --- Usage ~ 2,000 per day in Iran an peak of 10,000 per day in Ukraine/Russia Gaming Industry - DOA? See above - no wonder why - it is IRL now - Q1 continues sharp decline in video game sales - Older gamers: new AAA titles heavily cannibalized by old games - Gen Z & Alpha mostly play only Roblox (144M DAU), Fortnite (60M DAU), or Minecraft (11M DAU) - Young gamers rarely buy new AAA titles or consoles - Industry “growth” driven purely by subscriptions & upsells — no real sales increase - Hardware far below peaks: PS2 sold 160M, Nintendo DS 154M vs Switch 2 only 17M (original Switch lifetime 114M) - AI failing to cut costs for big studios — Roblox capturing all the upside - Roblox launches Incubator & Jumpstart programs for kids using AI “vibe-coding” to chase millionaire status INTERACTIVE BROKERS Check this out and find out more at: http://www.interactivebrokers.com/ Target Earnings - Target posted another quarter of falling revenue and customer traffic at its stores, though its shares rose as the retailer's earnings beat estimates and it said it is poised to end its sales slump. -  Earnings per share: $2.44 adjusted vs. $2.16 expected - Revenue: $30.45 billion vs. $30.48 billion expected - Target said it expects full-year adjusted earnings per share to range from $7.50 to $8.50. Its adjusted earnings per share for the most recent full year were $7.57. - Shares up 7% in a piss poor tape     Love the Show? Then how about a Donation? THE CLOSEST TO THE PIN for CATERPILLAR Winners will be getting great stuff like the new "OFFICIAL" DHUnplugged Shirt!     FED AND CRYPTO LIMERICKS There is a tech pundit whose name be John, Whose sharp takes went late into dawn. He hit pause for some care, But with grit (and repair), Soon he'll be back oh so steady and strong. See this week's stock picks HERE Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter

Swarm Forge. Ender's Foundry. Project Grant. Open Arsenal. These are the names of just some of the “Pace-Setting Projects” that Pete Hegseth identified in a January memorandum on the “Artificial Intelligence Strategy for the Department of War.” Their names are as hard to take seriously as “Operation Epic Fury,” but like the war, the Pentagon's AI initiatives are already having a significant impact on the world. AI systems were reportedly used to select targets for more than 1,000 attacks in the first days of the war on Iran. It's investing heavily in targeting systems, data collection and analysis, and even autonomous weapons that can take instructions and then independently engage in missions, destroying and killing without immediate human feedback.Private companies won't be left out of it, either - the Pentagon plans to “leverage the hundreds of billions in private sector capital investment being made in America's AI sector through our growing array of creative partnerships with America's world-leading companies.” From Palantir and Anduril to xAI, OpenAI and Google billions of dollars continue to be spent every year on using AI to “increase lethality” - to make the U.S. military even more of a threat around the world.Support the show

Pollentalene er eksploderet, og det kan være decideret invaliderende, en bred vifte af analytikere giver en smal sejr til Troels Lund Poulsen, “Do you use ChatGPT? I love AI”, kopiér 140.000 neuroner i bananfluens hjerne 1:1, den ikke-eksisterende bananflue lever, kender du typen på skygge-ayatollah Mojtaba Khamenei, Pokémon beskylder Det Hvide Hus for at stjæle, diplomaten Aneke sender evakueringsfly fra Mellemøsten til Danmark, vi bringer en kæmpe berettigelse, en uforbeholden undskyldning og en afstandstagen, De Konservative går nu med på rent drikkevand i valgkampen, der er ingen fireårsperiode for Israels efterretningstjeneste, en lovprisende Klaus med vanvidskaffe fra Colombia, historien om den originale kaffeinfluencer, køkkendæmonen fra Noma lever videre, hvad ville du stemme, hvis valget var i morgen, Signe Wenneberg-effekten i Alternativet, Messeren deler billig benzin og diesel ud, join us or death i dansk politik og søg i flæskeskjul på Bones.Få 30 dages gratis prøveperiode (kan kun benyttes af nye Podimo-abonnenter) - http://podimo.dk/hgdg (99 kroner herefter)Værter: Esben Bjerre & Peter FalktoftRedigering: PodAmokKlip: PodAmokMusik: Her Går Det GodtInstagram:@hergaardetgodt@Peterfalktoft@Esbenbjerre

Dagens overblik over FCK-nyheder

The Drunk Guys pig out on beer this week when they read Speaker for the Dead by Orson Scott Card. They Ender their drinking with: Heathenous by Return Brewing and Go Beyond by Finback. Join the Drunk Guys next Tuesday when they read The Red Pony by John Steinbeck. The Drunk Guys now have a Patreon! The Drunk Guys Book Club Podcast can be found on Apple Podcasts, Google Podcasts, Spotify, Stitcher, PlayerFM, Overcast, and where ever fine podcasts can be found. We are also part of the Hopped Up Network of independent beer podcasters. If you're drunk enough to enjoy the Podcast, please give us a rating. To save time, just round up to five stars. Also, please follow us on Twitter, Instagram, and Facebook. There's no excuse to miss another Drunk Guys episode, announcement, or typo!

What if The Lord of the Rings had been published as one giant book?What if The Stand had stayed permanently cut down?What if Ender's Game had never expanded beyond a short story?For our 600th Tiny Talk, we're diving into the fascinating (and sometimes dramatic) moments when publishers pushed authors to make changes — and how that tension shaped some of the greatest fantasy, sci-fi, and horror novels ever written.Sometimes publisher pressure made books better.Sometimes it delayed brilliance.And sometimes it accidentally created cultural legends.If you love behind-the-scenes publishing history, literary debates, and speculative fiction deep dives — this one's for you.Let's celebrate 600 Tiny Talks the nerdy way.

In this episode, we are joined by Radek of RH3D. Brought to you by Sovol. Get $10-20 OFF on Sovol 3D Printers: https://jle.vi/sovol (use code NEXTLAYER)Radek is the engineer, architect, woodworker, and maker behind RH3D, a project best known in the 3D printing community for breathing new life into aging Ender 3 printers. His most recognized work, E3NG, reuses approximately 68–78% of an Ender 3 to build a fundamentally new, more capable 3D printer—challenging the idea that old machines should simply be replaced.Born in the Czech Republic and raised in a family of mechanical engineers, Radek was immersed in problem-solving and hands-on creation from an early age. His path took him through architecture school, years running a woodworking business, and eventually back to architecture—while continuing to design and develop advanced 3D printer projects part-time under the RH3D name.Whether you're an Ender 3 owner, a maker who loves modding and rebuilding machines, or someone interested in sustainable approaches to 3D printing hardware, this episode is packed with insight, inspiration, and real-world engineering experience.

In this episode of Business Brain, we dig into how AI is quickly becoming a true coworker, not just a tool. We explore deeper ChatGPT personalization, AI-driven tech support (even through smart glasses), and what it means to “hire” agents like Claude to think, write, and problem-solve alongside us. From autocomplete apps to AI companions inspired by sci-fi, we reframe AI as something we employ intentionally—on our terms. We also push ourselves to think bigger about how we make money in the AI age. As automation accelerates, we focus on what still matters most: human connection, trust, and creativity. By using AI to amplify—not replace—our unique value, we position ourselves to stay relevant, grow revenue, and design a Charmed Life that blends smart tech with meaningful work. 00:00:00 Business Brain – The Entrepreneurs' Podcast #725 for Casual FridAI, February 6th, 2026 February 6th: Working Naked Day 00:02:05 Join ChatGPT Health Waitlist 00:03:07 More ChatGPT personalization 00:05:17 Tech Support with AI Using the Meta AI glasses for tech support 00:08:20 David-Try Cotypist, an AI-powered autocomplete app Sponsors 00:09:40 SPONSOR: Intuit QuickBooks Payroll – Leave the chaos behind and start the new year off right with QuickBooks Payroll. Learn more by visiting QuickBooks.com/payroll 00:10:58 SPONSOR: Shopify – For anyone to sell anywhere, sign up for a one-dollar-per month trial period at Shopify.com/BusinessBrain and upgrade your selling today! 00:12:35 Employing Claude Cowork for real life 00:27:01 Moltbook (and OpenClaw) Jane from Ender's Game… Perplexity Comet Browser 00:31:36 How do we make money in the AI age? People want to connect 00:37:58 Business Brain 725 Outtro Tell Your Friends! Review Business Brain Subscribe to the show feedback@businessbrain.show Call/Text: (567) 274-6977 X/Twitter: @ShannonJean & @DaveHamilton, & @BizBrainShow LinkedIn: Shannon Jean, Dave Hamilton, & Business Brain Facebook: Dave Hamilton, Shannon Jean, & Business Brain The post FridAI, Hiring Agents – Business Brain 725 appeared first on Business Brain - The Entrepreneurs' Podcast.

Send us a textIn today's episode, I'm chatting with Theory Knight—a sci-fi lover, aspiring pilot, and thoughtful storyteller with a deep love of humor, humanity, and connection. Theory dreams of flying someday, loves Hawaii, and believes in the therapeutic value of road trips. She's only organized because of technology, is thankful for good vacuum cleaners, and would absolutely rent an apartment inside Canadian Tire if they'd let her.We're here today to discuss her new book, Jingle Bells, Sasquatch Smells, and the stories that help reset our nervous systems—especially during hard seasons. Theory's reading life leans toward what she calls scary, funny books: stories that hold darkness with humor and leave you feeling more grateful for what you have.Episode Highlights:What Canadian Tire is (for those of us who didn't grow up with it).Why being among others during hard times can be incredibly grounding.How humor helps us sit with scary or uncomfortable moments.Setting boundaries with dark books and knowing your limits.The sci-fi stories that shaped Theory's reading life.Writing with intention and bringing only what you truly love into a book.Working creatively with a spouse (her husband is her cover designer, go check them out).Connect with Theory:InstagramWebsiteBook Playlists (how fun!)Buy Tiger in My TankBooks and authors mentioned in the episode:Ender's Game by Orson Scott CardThe Complete Works of Oscar WildeDungeon Crawler Carl by Matt DinnimanBook FlightThe Street Lawyer by John GrishamAll My Puny Sorrows by Miriam Toews Jingle Bells, Sasquatch Smells by Theory KnightThe 2026 Bookish Flights Reading Challenge is here - a simple, nostalgic way to be intentional with your reading. One book per month, with options for individuals and families. Download it at https://www.bookishflights.com/read/2026readingchallengeSupport the showBe sure to join the Bookish Flights community on social media. Happy listening! Instagram Facebook Website

We get to know our cohost Will with his life's companion piece.

Ever wanted to recap season 5 of one of your favorite sci-fi shows staring a bald knight who likes to wear a grey sweater? Well, you've come to the right cast!It's the re-watch podcast that's not afraid to go deep, deep, deep season... all the way down to Season Five! Season Five is the season that ended the Worf/Klingon-house saga, Mush-Mouth-ed us the linguistics of "When the walls fell", asked the question: " How many times does Data blow up before he learns how to count pips?", introduced the fan-favorite character: Ensign Ro, in the ironically titled episode: "Ensign Ro", Showed us how Riker could play both pathos and eros -- poor Carmen! Poor butt-headed not-Carmen! POOR RO! Season Five went non-binary, broke some Klingon backs, genetically altered, twinned imaginary friends, delivered us the cutest Klingon, fluted our Captain, and took our Whoopie back to meet Samuel Flipping Clemens! What an adventure! What a season! What a re-watch best of worst of re-watch podcast! It all happens on this episode of ST:TNGEEZ! Not Another Star Trek Podcast, Season 5 Ender's "Best of Worst of Show"! Even more available at: https://tngeez.com

This episode has a longer introduction that reflects on my history as a feminist activist, my time in Chile, and the current state of US politics. It may not appeal to everyone, but I felt it was important to share. The review of 2025 horror releases starts around 14:00. I cover my favorites, my medium-recommends, some flops, horror TV, and what I'm looking forward to in 2026. Here's to a more active (in all senses of the word) 2026!

Zach, Alex, and Nick gather to take one last look at the 2025 Green Bay Packers season, talk the Matt LaFleur extension, and where the team goes from here. We also settle up with our bookie and tally our season-long prop bets. Hosted on Acast. See acast.com/privacy for more information.

Join Hackaday Editors Elliot Williams and Tom Nardi as they swap their favorite hacks and stories from the week. In this episode, they'll start off by marveling over the evolution of the "smart knob" and other open hardware input devices, then discuss a futuristic propulsion technology you can demo in your own kitchen sink, and a cheap handheld game system that get's a new lease on life thanks to the latest version of the ESP32 microcontroller. From there they'll cover spinning CRTs, creating custom GUIs on Android, and yet another thing you can build of out that old Ender 3 collecting dust in the basement. The episode wraps up with a discussion about putting Valve's Steam Deck to work and a look at the history-making medical evacuation of the International Space Station. Check out the links over on Hackaday if you want to follow along, and as always, tell us what you think about this episode in the comments!

We count down the highs and lows of the horror genre in 2025, including staff picks, patron votes and more! Learn more about your ad choices. Visit megaphone.fm/adchoices

Chris Cook did an absolutely wonderful wrap-up of 2025 for his Gorilla Radio podcast, consisting of snippets from interviews he did throughout the year, with a song of mine between each one!

Our annual end-of-year post-mortem episode is here, and boy do we have feelings about this past year! Hear Kate, Pam, and Brian try to make sense of life in 2025 with their singular song selections. Plus, we talk about Bay happenings that gave us hope, and in honor of Select Five's fifth anniversary, we shout out some of the amazing things our past guests have accomplished this year. Select Five 2025 Selections: Little Simz - Free/2025 (Brian's pick) Natural Information Society - Perseverance Flow/2025 (Pam's pick) Grateful Dead - Touch of Gray/1987 (Kate's Selection) Jwalt - Ballers Ballad/2025 Tower of Power - So Very Hard To Go/1973 Listen to our playlist to hear the songs we talked about plus many others we loved in 2025

Episode Summary    In this inspiring episode of WarDocs, we are honored to feature the extraordinary journey of Retired Army Brigadier General Clara Adams-Ender. Rising from humble beginnings as one of ten children born to sharecroppers with limited formal education, she defied expectations to become a trailblazer in military medicine. Her story is a testament to the power of education, resilience, and the relentless pursuit of excellence. Although she initially dreamed of becoming a lawyer, she honored her father's wishes to attend nursing school, a decision that launched a remarkable 34-year career culminating in her service as the 18th Chief of the Army Nurse Corps.    BG(R) Adams-Ender shares powerful anecdotes that defined her leadership philosophy, starting with her first assignment as a Second Lieutenant in an ICU. She recounts a tragic incident involving a Marine shot by a friend during horseplay, a moment that taught her the stark difference between "book learning" and the practical responsibilities of an officer to care for the discipline and safety of troops. She also details the grit required to become the first woman to earn the Expert Field Medical Badge (EFMB). Refusing to settle for the lower physical standards set for women at the time, she marched the full 12 miles alongside her male counterparts, proving that competence knows no gender.   Throughout the conversation, she emphasizes the evolution of the Army Nurse Corps from a workforce viewed merely as labor to leaders in healthcare policy and administration. She discusses her time as an educator during the Vietnam War, mentoring students facing the draft and ethical dilemmas. General Adams-Ender passionately argues for the necessity of nurses having a "seat at the table" in healthcare leadership, noting that without a voice in policy, the profession cannot control its destiny. As the Army Nurse Corps approaches its 125th anniversary, she reflects on the core values of clinical excellence, administration, research, and education (CARE), offering timeless advice for the next generation of military medical professionals.   Chapters (00:00-06:40) From Sharecropper's Daughter to Nursing School (06:40-11:45) A Tragic Lesson in Leadership and Troop Welfare (11:45-17:15) Breaking Barriers to Earn the Expert Field Medical Badge (17:15-22:42) Educating Nurses During the Vietnam War Era (22:42-37:55) The Power of Policy and Having a Seat at the Table (37:55-45:34) Core Values and the Legacy of the Army Nurse Corps   Chapter Summaries (00:00-06:40) From Sharecropper's Daughter to Nursing School The guest discusses her family background, emphasizing her parents' deep value for education despite their limited schooling. She shares how she initially aspired to be a lawyer but followed her father's directive to attend nursing school, eventually discovering a passion for the challenge the profession provided. (06:40-11:45) A Tragic Lesson in Leadership and Troop Welfare Reflecting on her first assignment at Fort Dix, the guest describes the transition from academic theory to the practical realities of military nursing. She recounts a harrowing story of a young Marine shot due to horseplay, which served as a pivotal lesson on an officer's responsibility to maintain discipline and care for the troops beyond clinical duties. (11:45-17:15) Breaking Barriers to Earn the Expert Field Medical Badge The conversation shifts to the guest's historic achievement as the first woman to earn the EFMB. She details her determination to meet the same physical standards as the male soldiers, including marching 12 miles instead of the required 8 for women, viewing the grueling training as an opportunity to prove her capabilities. (17:15-22:42) Educating Nurses During the Vietnam War Era The guest describes her time as an instructor at Walter Reed, where she taught students from diverse backgrounds. She highlights the challenges of mentoring nursing students during the Vietnam War, helping them navigate their fears and obligations regarding deployment to a combat zone. (22:42-37:55) The Power of Policy and Having a Seat at the Table Moving into administration, the guest explains how she learned that writing good policy allows a leader to influence far more outcomes than hands-on care alone. She stresses the importance of nurses securing leadership roles to ensure they are in charge of their profession's destiny and not merely following orders from others. (37:55-45:34) Core Values and the Legacy of the Army Nurse Corps As the 125th anniversary of the Army Nurse Corps approaches, the guest reflects on the enduring values of the profession, using the acronym CARE. She concludes with a dedication to her mentors and offers advice to current nurses on maintaining standards and commitment to the mission.   Take Home Messages Leadership Requires Practical Adaptability Success in military medicine often requires unlearning the rigid structures of "book learning" to adapt to the practical realities of the environment. True competence is demonstrated not just by clinical knowledge, but by the ability to handle unexpected situations and the human dynamics of the troops under one's command. The Responsibility of the Officer Extends Beyond Patient Care A medical officer's duty is not confined to the hospital bed or the clinic; it encompasses the overall welfare, discipline, and safety of the soldiers. Preventing tragedy through discipline and looking out for the troops is as vital as treating the wounds that result when safety protocols fail. Equality is Proven Through Standards Breaking barriers and earning respect often comes from a refusal to accept lower standards based on gender or background. By voluntarily meeting the more rigorous requirements set for counterparts, a leader demonstrates resilience and capability that silences doubters and inspires the team. Influence Through Policy and Administration While direct patient care is the heart of medicine, long-term impact is achieved by securing a "seat at the table" in administration and policy-making. Writing effective policy allows a medical professional to guide the hands of thousands of others, shaping the destiny of the profession and improving care on a systemic level. Total Commitment to the Profession Medical service is difficult, demanding work that requires a full "all-in" mentality. The key to longevity and success is to make a firm decision to commit to the profession; once that decision is made, energy should be directed toward the mission and patient care rather than complaints or negativity.   Episode Keywords Clara Adams-Ender, Army Nurse Corps, EFMB, Expert Field Medical Badge, Military Medicine, Leadership, Women in Military, Black History, Vietnam War Nursing, Walter Reed, Nursing Education, Healthcare Policy, Mentorship, WarDocs, Army General, Brigadier General, Nursing Administration, Military History, Veteran Stories, Medical Podcast Honoring the Legacy and Preserving the History of Military Medicine The WarDocs Mission is to honor the legacy, preserve the oral history, and showcase career opportunities, unique expeditionary experiences, and achievements of Military Medicine. We foster patriotism and pride in Who we are, What we do, and, most importantly, How we serve Our Patients, the DoD, and Our Nation. Find out more and join Team WarDocs at https://www.wardocspodcast.com/ Check our list of previous guest episodes at https://www.wardocspodcast.com/our-guests Subscribe and Like our Videos on our YouTube Channel: https://www.youtube.com/@wardocspodcast Listen to the “What We Are For” Episode 47. https://bit.ly/3r87Afm WarDocs- The Military Medicine Podcast is a Non-Profit, Tax-exempt-501(c)(3) Veteran Run Organization run by volunteers. All donations are tax-deductible and go to honoring and preserving the history, experiences, successes, and lessons learned in Military Medicine. A tax receipt will be sent to you. WARDOCS documents the experiences, contributions, and innovations of all military medicine Services, ranks, and Corps who are affectionately called "Docs" as a sign of respect, trust, and confidence on and off the battlefield, demonstrating dedication to the medical care of fellow comrades in arms.   Follow Us on Social Media Twitter: @wardocspodcast Facebook: WarDocs Podcast Instagram: @wardocspodcast LinkedIn: WarDocs-The Military Medicine Podcast YouTube Channel: https://www.youtube.com/@wardocspodcast

Old Man Phillip Rivers returns to football. But is he really ready to save the Colts season? The Eagles struggle and ditch the positivity rabbit. But will losing the good luck charm curse them? Mike Fuentes explores the unanswerable questions and conspiracy theories about the NFL. Plus, Dean "Mojo" Muhtadi stops by to help pick the Five Most Consequential NFL Games of Week 15. Sit back and crack open a Miller Lite because Dave Dameshek and Football America! has what you need to plan your weekend right. (Photo by Jeffrey T. Barnes/AP) Timestamps: (00:00) Dave on Phillip Rivers (00:00) Jeremy Taché and Mike Fuentes address the unansnwerable (00:00) Five Most Consequential NFL Games of Week 15 with Dean "Mojo" Muhtadi AUDIO Football America! is available wherever you listen to podcasts. Leave us a 5-star review on Apple Podcasts: https://podcasts.apple.com/us/podcast/football-america/id1831757512 Follow us: Dave Dameshek: https://x.com/dameshek Dean Muhtadi: https://x.com/MojoMuhtadi Jeremy Taché: https://bsky.app/profile/jeremytache.bsky.social Host: Dave Dameshek Guests: Dean Muhtadi, Jeremy Taché Team: Gino Fuentes, Mike Fuentes, Bradley Campbell Director: Danny Benitez Senior Producers: Gino Fuentes, Mike Fuentes Executive Producer: Bradley Campbell Arizona Cardinals, Atlanta Falcons, Baltimore Ravens, Buffalo Bills, Carolina Panthers, Chicago Bears, Cincinnati Bengals, Cleveland Browns, Dallas Cowboys, Denver Broncos, Detroit Lions, Green Bay Packers, Houston Texans, Indianapolis Colts, Jacksonville Jaguars, Kansas City Chiefs, Las Vegas Raiders, Los Angeles Chargers, Los Angeles Rams, Miami Dolphins, Minnesota Vikings, New England Patriots, New Orleans Saints, New York Giants, New York Jets, Philadelphia Eagles, Pittsburgh Steelers, San Francisco 49ers, Seattle Seahawks, Tampa Bay Buccaneers, Tennessee Titans, Washington Commanders Learn more about your ad choices. Visit podcastchoices.com/adchoices

Double Tap Episode 439 This episode of Double Tap is brought to you by: Gideon Optics, Primary Arms, Night Fision, Blue Alpha, Bowers Group, and Second Call Defense   Welcome to Double Tap, episode 439! Your hosts tonight are Jeremy Pozderac, Jon Patton and me Shawn Herrin, welcome to the show! Jon Patton - https://theguncollective.com/ Dear WLS Hunter M - Wanting to upgrade my Ender 3 Pro to a Bambu X1C, but I am hesitant to buy one if there is a possibility of blocking 2A prints. I have seen where some people suggest never connecting it to the internet and only printing off of SD cards but it seems like you could be missing out on a ton of features. Is it worth it to connect it to the internet or play it safe and only use it offline? If it was connected and they pushed out anti-gun restrictions how could you get the printer back to printing freedom? Conner R - What are your go to snacks or meals when hiking, camping, hunting, or rucking? What are you favorite meals in general? Thanks!l Uvuana Suqit - Why does every host on the Firearms Radio Network seem to have an astigmatism? And a bunch of other media people in the firearms industry in general. I hear constantly about not being able to use red dots because of astigmatism, making the dot not a perfect circle, and some other shape. Just want to say that the projection on the glass for red dots won't be a perfect circle with the way they are designed/manufactured, and the “dot” has a weird shape because it is projecting a bunch of tiny dots to a general area on the glass to make up the dot. It does not create a perfect circle. And if you focus on the “dot,” then you will see “imperfection” vs looking at the target where the “imperfection” will be nonexistent, with the general dot shape being over the target. I'm just curious if everyone is mistaking this inherent design of the red dot projection for something that is wrong with their eyes. And when every host says they have an astigmatism, it just seems odd. Karl F - The conflict in Ukraine has demonstrated the usefulness of small drones when it comes to both reconnaissance and delivery of payloads. This usefulness could definitely extend beyond combat to a SHTF scenario. Have any of you considered adding a drone to your gear collection?#blamecanada Oopsie Daisy - If you wanted to escape thermal imaging, do you think throwing a mylar poncho over the wool Five Star Alterations poncho would have a greater effect on reducing your thermal signature? For no one in particular, I'm interested to hear all of your opinions on this. Nate B - How far back is too far back for barrel porting? I understand you'd like the port as far forward as possible as that is where it's most beneficial (better tilt point) but I've seen ported Glocks and other pistols where they have multiple, tiny holes that seem to be fairly close to the chamber. Also ports > comps Anthony L - I wanted to ask what sites you use for the 3d print files. Thank you   The winner of this week's swag pack is Oopsie Daisy! To win your own, go to welikeshooting.com/dashboard and submit a question!   Gun Industry News Switzerland Picks SIG Sauer P320 Swiss Army picks SIG P320 as new standard pistol, 5th military to do so after US, Canada, Australia, Denmark. Beats Glock and HK in tests via lower costs and Swiss production promise, despite early fixes needed for ergonomics. Gun fans celebrate another big military win for modular P320. Not for civilian sale. Tuning the Shadow 2: New Frame Weight Eemann Tech's new frame weight for CZ Shadow 2 adds 172g of front-end steel to cut recoil and steady fast shots. No mods needed, screws on easily. Special for comp shooters tuning balance without changing gun shape. Compact version coming. Available now. Sweden Police Swap MP5s for AK 24 Sweden's police are ditching MP5 submachine guns for AK 24 rifles in 5.56mm, matching the military's choice. Reasons: MP5 contract ended, 9mm sucks at range and vs. armor/vehicles, better teamwork in ops. They bought some for tests, fixed over-penetration with right ammo. Costs $2,700–$3,600 each, same as MP5. Gun fans note it's a rare police switch to rifle calibers from SMGs. Not available yet; deliveries start 2027. Staccato Stops Making C and CS Pistols Staccato stopped making C and CS pistols on Nov 21, 2025, to focus on 2011 and HD models. Gun folks can still buy leftover stock while it lasts; owners get full parts, mags, and warranty support. Special: Speeds up upgrades for main lines. Not in production now. Daniel Defense Eleanor Brings UK Spec Rifle to America Daniel Defense's Eleanor is a limited run of 250 M4A1 rifles copying UK Ministry of Defence specs, first U.S. version with real anodized FDE Vortex AMG EBR-22L optic—not fake finishes like clones. Gun fans get exact Royal Marines setup in Pelican case. Not available now. GPO's New Tactical Monocular with Gun Reticle GPO launched TACTICAL MONO 10x42 ED, a pocket-sized 10x42 monocular with offset MIL reticle for quick range estimates. Stands out with tactical reticle in super compact 5.3-inch, 13.4-oz rubber-armored body. MSRP $319.99. Available now. Gun community gets affordable, portable spotting tool for field measurements. Strike Bravo Chassis for Taurus GX4 Strike Industries and Taurus teamed up for GX4 Strike Bravo pistols with a new chassis boosting recoil control, ergonomics, and modularity via Dynamic Control system. Special: Picatinny for braces/stocks, optics-ready slide, threaded barrel, works with GX4 accessories. Four versions: 10/15-round mags, braced or not. Prices: $607 non-braced, $796 braced. Available now. New 9mm Apache Commander Gun Watchtower Defense launched the Apache Commander, a compact double-stack 9mm 1911 for carry with optics cut, aggressive serrations, adjustable 4.5-5.5 lb trigger, and tough stainless steel build in Black or FDE. First tactical model from veteran-owned brand. $3999 with three 17-round mags and lifetime warranty. In stock and shipping now. Gun fans get a premium, duty-ready carry option supporting vets. New ZeroTech Vengeance Scope Reticle Options ZeroTech updated its Vengeance 3-12x40 SFP riflescope with three reticles: precise R3, classic PHR 4, and low-light illuminated PHR 4 IR. Lightweight 1-inch tube, side parallax, multi-coated glass. Gives gun folks faster targeting and better holds in any light. Price not listed. Availability not stated. New Reticles for Vengeance Scope ZeroTech added PHR 4 and illuminated PHR 4 reticles to its Vengeance 4-16x40 SFP scope. Clean holdovers, fast aiming, low-light brightness levels on lightweight 1-inch tube. Gives gun users affordable precision for hunting and shooting. Available now. Viridian's New Green Dot for Rifles Viridian launched VENTA Green Dot rifle optic. Crisp 2 MOA green dot, instant-on motion activation, 10 brightness settings, IPX7 waterproof, 30k-hour battery, 5 oz lightweight, Aimpoint T2 footprint. Stands out for speed, clarity, and low $169 MSRP in black or FDE. Available now. Gun folks get affordable, tough optic upgrade. New Tactical Light with Green Laser NEXTORCH launches WL25 tactical weapon light with 1,200-lumen white beam to 459 yards plus green laser for fast aiming. Ambidextrous switches, quick battery swaps, recoil-proof mount, glove-friendly. German-designed, pistol-rail compatible. MSRP $239.99. Available now for LE/military eval. Gun community gets pro-grade light-laser combo at mid price. Before we let you go - Join Gun Owners of America   Tell your friends about the show and get backstage access by joining the Gun Cult at theguncult.com.   No matter how tough your battle is today, we want you here fight with us tomorrow. Don't struggle in silence, you can contact the suicide prevention line by dialing 988 from your phone. Remember - Always prefer Dangerous Freedom over peaceful slavery. We'll see you next time!   Nick - @busbuiltsystems | Bus Built Systems Jeremy - @ret_actual | Rivers Edge Tactical Aaron - @machinegun_moses Savage - @savage1r Shawn - @dangerousfreedomyt | @camorado.cam | Camorado

Welcome to Dev Game Club, where this week we try something a little different. Unattached to any particular game, we chat with Ed Fries, a long-time video game developer most well-known for his work  shepherding the early days of Xbox and Microsoft Game Studios. We talk about five games of his early years that particularly affected him. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Podcast breakdown: 1:16:35 Break 1:16:48 Outro Issues covered: a new model for interviews, productivity software wars, a child of engineers, Lunar Lander on a calculator, 6800-based kit computer and programming in assembly, cardboard computer, jumping from BASIC to assembly language, using a print terminal, modem sounds, competitive Asteroids, the first real video game, oscilloscopes and radar, complaining to the dentist, inspiring a generation of programmers and engineers, learning by typing from magazines, the 8-bit microprocessor, getting a 6502 square root routine from Woz, using a computer terminal, an intro to Rogue and its procedural elements, a things-going-wrong simulator, "there were not that many games in the world," building a game for different player types, the D programming language and other alphabetic languages, a short remembrance of Dani Bunten Berry, Multiple Use Labor Elements, how M.U.L.E. plays, screwing your buddies, similarities to Euro strategy games, the auction phase, crystite mining, a literary game, the first original IP character in a video game, moving from real caves to fantasy, some connections, album covers from EA, expensive personal computers. Games, people, and influences mentioned or discussed: Frogger, ROMox, The Princess and the Frog, Ant Eater, Sea Chase, Tom and Ed's Bogus Software, Tom Saxton, Sucker Punch, Microsoft, Ender's Game, Phil Spencer, Xbox, Bungie, Ensemble Studios, Rare Limited, World of Warcraft, Gabe Newell, Atari 2600, Halo, 1Up Ventures Fund, Psychonauts, Keeper, Tim Schafer, Boeing, Digital Equipment Corporation, Lunar Lander, CARDIAC, Nintendo Labo, Apple ][, Atari 800, Space Wars, Asteroids, Nolan Bushnell, Ampex, Ted Dabney, Computer Space, Nutting Associates, Computer Trivia, Pong, Homeworld, Steve Wozniak, Rogue, Defeating Games for Charity, Dark Souls, HACK, PDP-11/VAX, Epyx, Walter Bright, Sid Meier, Civilization, Bruce Shelley, Age of Empires, M.U.L.E., Dani Bunten Berry, Seven Cities of Gold, Settlers of Cataan, Diplomacy, AJ Redmer, Maxis, Will Wright, Dungeon/Zork, Don Daglow, Tim Anderson, Colossal Cave Adventure/Advent, Infocom, Frank Cifaldi, Video Game History Foundation, Kate Willaert, Will Crowther, Don Woods, Mike Haas, Andrei Alexandrescu, 2001: A Space Odyssey, Populous, The Bard's Tale, Outer Wilds, Kirk Hamilton, Aaron Evers, Mark Garcia.  Next time: TBA! or more Pikmin TTDS: 40m 6s Links: Ant Eater source  Princess and Frog source Sea Chase source  Nitro source Errata: I misspoke with respect to the co-inventor of D, it was Andrei Alexandrescu. We regret the error. Twitch: timlongojr and twinsunscorp  YouTube  Discord  DevGameClub@gmail.com 

This week, Ryan and Brian dive into Lucky Charms, question the motivations of the Kingston Trio, and discuss a challenge to the "get what it's called" rule. All that, plus there's a brand new Contest of Now (a standard crossword). If you get bored (how could you?!), write something for the Fill Me In wiki. And if you're feeling philanthropic, donate to our Patreon. Do you enjoy our show? Actually, it doesn't matter! Please consider leaving us a 5-star review on Apple Podcasts. This will help new listeners find our show, and you'll be inducted into the Quintuple Decker Turkey Club. Drop us a note or a DM or a postcard or a phone call — we'd love to hear from you. Helpful links: Apple Podcasts link: https://podcasts.apple.com/us/podcast/fill-me-in/id1364379980 Google Play link: https://player.fm/series/fill-me-in-2151002 Amazon/Audible link: https://www.amazon.com/item_name/dp/B08JJRM927 RSS feed: http://bemoresmarter.libsyn.com/rss Contact us: Email (fmi@bemoresmarter.com) / Facebook / Twitter / Instagram / Bluesky We're putting these words here to help with search engine optimization. We don't think it will work, but you probably haven't read this far, so it doesn't matter: baseball, crossword, crosswords, etymology, game, hunt, kealoa, movies, musicals, mystery, oscar, pizza, puzzle, puzzles, sandwiches, soup, trivia, words

Whether you like ripping page turners, incredible characters, books that make you laugh out loud, exploring unforgettable new worlds, or literary books that will make you see the world in a new way, there's a great intro to scifi out there for everyone!Join the Hugonauts book club on discord to tell us about your favorite time travel booksOr you can watch the episode on YouTube if you prefer videoIf you want to jump around, here are the timestamps for all the books we talked about: 00:00 Intro 00:38 Incredible Characters - Vorkosigan Saga by Lois McMaster Bujold 3:07 A Long Way to a Small, Angry Planet by Becky Chambers 4:04 Flowers for Algernon by Daniel Keyes 4:52 Unforgettable Worlds - The Expanse by James S.A. Corey 6:58 Hyperion by Dan Simmons 8:24 House of Suns by Alastair Reynolds 9:20 Children of Time by Adrian Tchaikovsky 10:56 The Forever War by Joe Haldeman 12:22 Funny SF - Hitchhiker's Guide to the Galaxy by Douglas Adams 13:36 Snow Crash by Neal Stephenson 14:50 Old Man's War by John Scalzi 16:01 Page turners - Project Hail Mary by Andy Weir 17:43 Dark Matter or Recursion by Blake Crouch 18:52 All Systems Red by Martha Wells 20:01 Ender's Game by Orson Scott Card 21:35 Ready Player One by Ernest Cline 22:34 Literary SciFi - The Left Hand of Darkness by Ursula K. LeGuin 24:55 Never Let Me Go by Kazuo Ishiguro 26:26 The Road by Cormac McCarthy 27:49 Slaughterhouse-Five by Kurt Vonnegut 28:40 Starship Troopers by Robert Heinlein