Podcasts about Mors

Cillas deckare Eksjömorden klättrar på listor och får finfina recensioner. Både den boken och Malins Min sämsta väninna har långa utlåningsköer på biblioteken, något de två författarna löser på helt olika sätt. Båda dock lika glada över att ha skrivit eftertraktade titlar! Cilla har svårt att hålla fingrarna borta från nästa manus och Malin har inlett en skrivstreak. Dessutom pratar de om möjligheten att stänga av författarhjärnornas förmåga att alltid befinna sig i en story. Går det? Vill de ens det? Och vad ska de i så fall göra med alla omkring dem som påminner dem om att de faktiskt är författare? Lyssna på säsongens näst sista avsnitt av podden för dig som gillar berättelser - och livet bakom dem med de två författarna Cilla Ingeborg och Malin Lundskog Hosted on Acast. See acast.com/privacy for more information.

Hampus är på väg in i politiken och spisar partiledardebatter från förr. Mia har varit på gala och stått gott på Dramatens balkong. Mors dag firas med keps och luftpresenter döms ut. 20 dgr kvar till segling i Kroatien och vissa i gruppen väljer sår i fötterna pga av fåfänga.Medverkande: Mia Skäringer & Hampus NessvoldProducent: Anna SpolanderRedigering: Mikael Solkulle & Anna Spolander Hosted on Acast. See acast.com/privacy for more information.

Hampus är på väg in i politiken och spisar partiledardebatter från förr. Mia har varit på gala och stått gott på Dramatens balkong. Mors dag firas med keps och luftpresenter döms ut. 20 dgr kvar till segling i Kroatien och vissa i gruppen väljer sår i fötterna pga av fåfänga.Medverkande: Mia Skäringer & Hampus NessvoldProducent: Anna SpolanderRedigering: Mikael Solkulle & Anna Spolander Hosted on Acast. See acast.com/privacy for more information.

Fredagskänslan slår till direkt med en helt egen kickstartlåt, fotbollströje-fredag i studion och VM-pepp åt alla håll – inklusive en (väldigt) ambitiös VM-låt i väntan på NyhetsJonas. Vi bjuder på glada nyheter om Ivan, pensionären som kör runt i Västerbotten och håller linedance för andra pensionärer – med hjärta, gemenskap och bara bränslekostnaden som “avgift”. Sen blir det Morgonkick från Varberg med skolköks-tema och jordgubbsmjölk. Dessutom: 10 000-kronorsmixen, bråket om att toppa padel-lag, Nyhetstest med utslagsfråga – och Janne Andersson i studion om Fotbollströjefredag och Barncancerfondens viktiga arbete. Avslut med en mamma värd att hylla inför Mors dag.

Idag är det ingen vanlig dag – Pipistrello fyller 60 och firar som bara en trafikhjälte kan: med korvkalas på Oves gatukök i Sävedalen, tutande bilar och ett helt gäng som droppar in för att säga grattis. Gullige Dansken har som vanligt Googlequiz (med allt från hockey-VM till GES-barnen och den gamla VM-tröjan), och i Morgonkicken möter vi Gunvor som cyklar till frukost med mamma. Dessutom: 10 000-kronorsmixen med Rovena, dilemma om att ha tackat ja till “fel liv” på jobbet, Malins Dumburk om Robinsons eviga Jonas-segrar – och en blåvit överraskning när Stefan Rehn dyker upp. Finalen landar i en varm Mors dag-hyllning till Katarina.

Gry är både glad och kränkt när hon tror att hon “upptäckt” Future Islands – och inser att alla andra redan älskar dem. Perfekt start på morgonen. Vi får en riktigt fin glad nyhet om Hannes i Floda som söker (och hittar!) sällskap till Liseberg, och så blir det Gullige Danskens söktrend-lek med allt från IFK Göteborg till självkörande buss som… ja, hinner krocka. Dessutom: frieri-lycka i Morgonkicken, 10 000-kronorsmixen med Frida och lilla Elva, fördomsleken “Vem i gänget?”, kändisskvaller, dagens dilemma om att bli kär i grannen – och Fantastiska Faraos topp 3 pinsamheter. Avslut: en mamma värd att hylla inför Mors dag.

Måndag morgon drar igång med ny musik från Kygo och ett somrigt testlyss på Jireels nya låt – funkar den för Pipistrello och gänget, och hur känns det när lönen äntligen är här? I Glada nyheter får vi lära känna 90-åriga Kerstin som gör en (olaglig?) hjälteinsats och räddar fridlysta blåsippor från ett bygge. Hashtag: backa Kerstin. Dessutom: helgens mest googlade, Morgonkicken med Catinka på väg till högspänningsjobb och golf på seniortouren, 10 000-kronorsmixen med Kina och Robban – och “Pricka hitten” där Karro tar revansch med Tommy Nilsson. Vi hinner också med kändiskoll, ett dock-dilemma på konsthögskolan, Babben Babblar om kalasångest och en varm Mors dag-hyllning till mamma Sylvi med 13 barnbarn.

I anledning af Mors dag taler vi med tre kvinder om moderskabets mange lag, faser og følelser. Om kærlighed, bekymringer, gamle sår og nye begyndelser. Vi taler om alt det vores børn vækker i os på godt og ondt, og om hvordan moderskabet kan lære os at se verden - og os selv - på nye måder. Vi snakker også om at gøre ting anderledes end det, man selv kommer fra, om stoltheden i rollen som mor og om den ømhed og nye forståelse for ens egen mor, der nogle gange først opstår, når man selv får børn. Vores panel består af tekstildesigner Barbara Bendix mor til Selma 25 og Lilli 23, journalist Nola Gaardmand mor til Calle på 9 og Buster på 6 og Mad- og kulturkommunikatør Augusta Rosenbech Scheving mor til Nabani på 6 måneder.

Så hylder vi mødre - både de levende, de døde og de fremtidige - for det er Mors dag.  Vi har gjort det før, men der er heldigvis et næste uendeligt antal sange om møde i musicals. 

Det här är berättelsen om tonåringarna från Irland vars 90-talshit Zombie fick världen att chantea med och kastade dem in i den politiska hetluften. Lyssna på alla avsnitt i Sveriges Radios app. Warrington, England. Den 20 mars 1993.3-årige Jonathan Ball och hans barnvakt är ute och shoppar. Det är mors dag, och de är på jakt efter ett mors dags-kort till hans mamma. Trots att det är helg är stämningen på Bridge Street långt ifrån avslappnad. Fyra dagar tidigare har en bomb exploderat i en gasturbin i stan. Ett dåd som terrorklassade IRA tagit på sig. Trots att allmänheten fruktar ytterligare en attack försöker stans invånare leva sina liv som vanligt.Klockan 12.25 den där marsdagen utsätts Warrington för ännu ett terrordåd när två bomber exploderar mitt i ruschen på det populära shoppingstråket . 56 personer skadas, två barn dör. Jonathan Ball firar aldrig Mors dag. Händelsen leder till att debatten om den blodiga konflikten i Nordirland och den republikanska paramilitära gruppen IRA:s brutala metoder för att ena Irland blossar upp med full styrka. Och på en turnébuss i England börjar en vitblonderad sångerska från Irland - skakad av två barns död - skriva på vad som ska bli hennes bands absolut största hit.Medverkande: Stephen Street, Thella Johnson och Anna Ternheim.Programmet gjordes och programleddes av Siri Hill våren 2026Producent Robin JonssonExekutiv producent Anna JohannessenSlutmix Fredrik NilssonP3 Musikdokumentär produceras av Tredje Statsmakten MediaLjudklippen i programmet kommer från The Late Late Show (1999, 1994), BBC (1993), Rare & Enhanced (1994), MTV (1995, 1999), BBC Breakfast (2017), Daily Mail (2019) samt dokumentärfilmerna Wake up and smell the coffee (2002) och Love and rock n' roll (1999).

Under temaet: Små bøker – stort innhold, ble følgende bøkerpresentert av bibliotekar Sarah Judith Hovelstad. Mors dager / Sverre Bjertnæs. Snøen stryk ut alle spor / Lars Ove Seljestad. De siste kjærtegn / Øyeblikk for evigheten / Dødsverk / Kjersti Anfinnsen. Svar på brev fra Helga / Bergsvein Birgisson. Soga om veret / Bergsvein Birgisson.Det gamle barnet / Jenny Erpenbeck. Denandre datteren / Annie Ernaux. Pakk / Monika Helfer. Nede i dalen / Paolo Cognetti

Fresh off raising a monster $15B, Marc Andreessen has lived through multiple computing platform shifts firsthand, from Mosaic and Netscape to cofounding A16z. In this episode, Marc joins swyx and Alessio in a16z's legendary Sand Hill Road office to argue that AI is not just another hype cycle, but the payoff of an “80-year overnight success”: from neural nets and expert systems to transformers, reasoning models, coding, agents, and recursive self-improvement. He lays out why he thinks this moment is different, why AI is finally escaping the old boom-bust pattern, and why the real bottleneck may be less about models than about the messy institutions, incentives, and social systems that struggle to absorb technological change.This episode was a dream come true for us, and many thanks to Erik Torenberg for the assist in setting this up. Full episode on YouTube!We discuss:* Marc's long view on AI: from the 1980s AI boom and expert systems to AlexNet, transformers, and why he sees today's moment as the culmination of decades of compounding technical progress* Why “this time is different”: the jump from LLMs to reasoning, coding, agents, and recursive self-improvement, and why Marc thinks these breakthroughs make AI real in a way prior cycles were not* AI winters vs. “80-year overnight success”: why the field repeatedly swings between utopianism and doom, and why Marc thinks the underlying researchers were mostly right even when the timelines were wrong* Scaling laws, Moore's Law, and what to build: why he believes AI scaling laws will continue, why the outside world is messier than lab purists assume, and how startups can still create durable value on top of rapidly improving models* The dot-com crash and AI infrastructure risk: Marc's comparison between today's AI capex boom and the fiber/data-center overbuild of 2000, plus why he thinks this cycle is different because the buyers are huge cash-rich incumbents and demand is already here* Why old NVIDIA chips may be getting more valuable: the pace of software progress, chronic capacity shortages, and the idea that even current models are “sandbagged” by supply constraints* Open source, edge inference, and the chip bottleneck: why Marc thinks local models, Apple Silicon, privacy, trust, and economics all point toward a major role for edge AI* American vs. Chinese open source AI: DeepSeek as a “gift to the world,” why open models matter not just because they're free but because they teach the world how things work, and how open source strategies may shift as the market consolidates* Why Pi and OpenClaw matter so much: Marc's claim that the combination of LLM + shell + filesystem + markdown + cron loop is one of the biggest software architecture breakthroughs in decades* Agents as the new “Unix”: how agent state living in files allows portability across models and runtimes, and why self-modifying agents that can extend themselves may redefine what software even is* The future of coding and programming languages: why Marc thinks software becomes abundant, why bots may translate freely across languages, and why “programming language” itself may stop being a salient concept* Browsers, protocols, and human readability: lessons from Mosaic and the web, why text protocols and “view source” mattered, and how similar principles may shape AI-native systems* Real-world OpenClaw use: health dashboards, sleep monitoring, smart homes, rewriting firmware on robot dogs, and why the most aggressive users are discovering both the power and danger of agents first* Proof of human vs. proof of bot: why Marc thinks the internet's bot problem is now unsolvable via detection alone, and why biometric + cryptographic proof of human becomes necessaryTimestamps* 00:00 Marc on AI's “80-Year Overnight Success”* 00:01 A Quick Message From swyx* 01:44 Inside a16z With Marc Andreessen* 02:13 The Truth About a16z's AI Pivot* 03:29 Why This AI Boom Is Not Like 2016* 06:33 Marc on AI Winters, Hype Cycles, and What's Different Now* 10:09 Reasoning, Coding, Agents, and the New AI Breakthroughs* 12:13 What Founders Should Build as Models Keep Improving* 16:33 AI Capex, GPU Shortages, and the Dot-Com Crash Analogy* 24:54 Open Source AI, Edge Inference, and Why It Matters* 33:03 Why OpenClaw and PI Could Change Software Forever* 41:37 Agents, the End of Interfaces, and Software for Bots* 46:47 Do Programming Languages Even Have a Future?* 54:19 AI Agents Need Money: Payments, Crypto, and Stablecoins* 56:59 Proof of Human, Internet Bots, and the Drone Problem* 01:06:12 AI, Management, and the Return of Founder-Led Companies* 01:12:23 Why the Real Economy May Resist AI Longer Than Expected* 01:15:53 Closing ThoughtsTranscriptMarc: Something about AI that causes the people in the field, I would say, to become both excessively utopian and excessively apocalyptic. Having said that, I think what's actually happened is an enormous amount of technical progress that built up over time. And like for, for example, we now know that neural network is the correct architecture.And I, I will tell you like there was a 60 year run where that was like a, you know, or even 70 years where that was controversial. And so, so the way I think about what's happening is basically, I think, I think about basically the, the, the period we're in right now is it's, I call it 80 year overnight success, right?Which is like, it's an overnight success ‘cause it's like bam, you know, chat GPT hits and then, and then oh one hits, and then, you know, open claw hits and like, you know, these are open, these are, these are like overnight, like radical, overnight transformative successes, but they're drawing on an 80 year sort of wellspring backlog, you know, of, of, of, of ideas and thinking it's not just that it's all brand new, it's that it's an unlock of all of these decades of like very serious, hardcore research.If I were 18, like this is a hundred, this is what I would be spending all of my time on. This is like such an incredible conceptual breakthrough.swyx: Before we get into today's episode, I just have a small message for listeners. Thank you. We will not be able to bring you the ai, engineering, science, and entertainment contents that you so clearly want if you didn't choose to also click in and tune into our content.We've been approached by sponsors on an almost daily basis, but fortunately enough of you actually subscribed to us to keep all this sustainable without ads, and we wanna keep it that way. But I just have one favor to ask all of you. The single, most powerful, completely free thing you can do is to click that subscribe button.It's the only thing I'll ever ask of you, and it means absolutely everything to me and my team that works so hard to bring the in space to you each and every week. If you do it, I promise you will never stop working to make the show even better. Now, let's get into it.Alessio: Hey everyone, welcome to the Lidian Space Pockets. This is CIO, founder Kernel Labs, and I'm joined by s Swix, editor of Lidian Space.swyx: Hello. And we're in a 16 Z with a, uh, mark G and welcome.Marc: Yes, yes. A and what, half of 16? Something like that. A one. Exactly,swyx: exactly. Uh, apparently this is the, the final few days in your, your current office.You're moving across the road.Marc: Uh, we're, yeah. We have a, we have some, we have some projects underway, but yeah, this is actually, oh, this is the original. We're in actually the original office. We're in the, we're in the, we're, we're in the whole thing.swyx: It's beautiful. Yeah. Great.Marc: Thank you.swyx: So I have to come out, uh, this is a, you know, I wanted to pick a spicy start in October, 2022.I just made friends with Roone and, uh, I wanted to give him something to sort of be spicy about. And I said, uh. Uh, it'll never not be funny. The A 16 Z was constantly going. The future is where the smart people choose to spend their time and then going deep into crypto and not in ai. And that was in October 22nd, 2022.And Ruen says there was an internal meeting in a 16 Z to reorient around Gen ai. Obviously you have, but was there a meeting? What, what was that?Marc: I mean, I don't, look, I've been doing AI since the late eighties.swyx: Yeah.Marc: So I, I don't know, like all that, as far as I'm concerned, this stuff is all Johnny cum lately.Yeah. You, I mean, look, we've been doing ar entire existence. I mean, we've been doing AI machine learning deep, you know, deeply. We've been doing this stuff way from the beginning. Obviously a AI is just core to computer science. I, I, I actually view them as like quite, uh, quite continuous. Um, you know, Ben and I both have computer science degrees.Um, you know, we, we both, Ben, Ben and I actually both are world enough to remember the actual AI boom in the 1980s. Yeah. There was like a, there was a big AI boom at the time. Um, and there was a, was names like expert systems. Um, and they of like lisp and lisp machines. Uh, I, I coded in lisp. I was coding a lisp in 1989.When that was the, the language of the AI future. Um, yeah. So this is something that we're like completely, you completely comfortable with. I've been doing the whole time and are very enthusiastic aboutswyx: is there a strong, like this time is different because, uh, my closest analog was 20 16 17. It was an AI boom.Mm-hmm. And it petered out very, very quickly. Um, we, it just, it just in terms of investingMarc: sort of, sort of,swyx: yeah. Investment, investment excitement.Marc: Although that's really when the, the, the Nvidia phenomenon really, it was, I would say it was in that period when it was very clear that at, at the time it, the vocabulary was more machine learning, but it, it was very clear at that time that machine learning was hitting some sort of takeoff point.Alessio: Yeah.Marc: Well, and as you guys, you guys have talked about this at length on, on your thing, but, you know, if you really track what happened, I think the real story is, it was, it was the Alex net, uh, basically breakthrough in like 2013. That was the, that was the real knee in the curve. Um, and then it was obviously the transformer breakthrough in 17.Alessio: Yeah.Marc: Um, and then everything that followed. But, but, you know, look, machine learning, you know, there were, you know, look, uh, I mean look, I've been working, you know, I've been working with, uh, one of my, you know, kind of projects working with Facebook since 2004. Um, and on the board since 2007, and of course, you know, they, they started using machine learning very early, um, and, you know, have used it basically, you know, for like 20 years for, you know, content, you know, feed optimization and advertising optimization.And obviously many, you know, financial services. You know, many, many, many companies, many different sectors have been doing this. And so it's like one of these things, it's like, it's not a, it's not a single thing. Like it's, it's like, it's like layers, right? Yeah. Um, and, and the layers arrive at different paces and, but they kind of build up.swyx: Yeah.Marc: Uh, they kind of build up over time and then, and then, yeah. And then look, in retrospect, it was 2017 was kind of the, you know, the key, the key point with the trans transformer and then. And then as you guys know, there was this really weird like four year period where it's like the, the transformer existed and then it was just like,swyx: let's go.Yeah.Marc: Well, but, but it was just, but, but between 2020, but between 2017 and 2021, I mean, that was the era of which like companies like Google had internal chat Botts, but they weren't letting anybody use them.swyx: Yeah.Marc: Right. And then, you know, and then OpenAI developed Chat GT or GPT two, and then they told everybody, this is way too dangerous to deploy.Right. Yeah. You know, we can't possibly let normal people, normal people use this thing. And then you, you guys, I'm sure remember AI Dungeon, um mm-hmm. So the o for, there was like a year where like the only way for a normal person to use GP T three was in, in AI dungeon.Alessio: Yeah.Marc: And so you, you, we would do this, you'd go in there and you'd pretend to play Dungeons and Dragons.In reality, you're just trying to talk to talk to GPT. And so there was this, you know, there was this long, you know, and I, you know, the big, big companies, you know, big companies are cautious and, you know, the big companies were cautious. It, it, by the way, it took open ai. You know, they, they, they talk about this, it took open AI time to actually adjust, you know, kind of re redirect their researchswyx: path.I, I think, uh, let say Rosewood, right? Uh, the, the dinner that founded OpenAI was right there.Marc: Right, right. But that, that dinner would've taken place in 20swyx: 18Marc: 19. The formation of OpenAI Uhhuh as late as 2018.swyx: Uh, uh, sorry. Uh, no, I'm, I'm, I'm, I'm wrong. Probably It should be 20. Yeah. They just celebrated a 10 year anniversary, so it it is 2025.Yeah, so, so 2015?Marc: Yeah. 2015. Yeah. 2015. But then, uh, um, Alec Radford did G PT one in what, probablyswyx: mm-hmm. 17, 18,Marc: yeah. 17, 18. So it, yeah. For, and then, and then they didn't really, and then GPT three was what? 2020? 2020.swyx: 2020.Marc: Because that became copilot immediately. Even open ai, which has been, you know, the leader of, of this thing in the last decade, you know, e even they had to adapt and, and, and lean into the new thing.And so. Um, yeah, I, I think it's just this process of basically sort of wave after wave layer after layer, you know, building on itself. And then you kind of get these catalytic moments where, where the whole thing pops and, and obviously that's what's happening now.swyx: Is it useful to think about will there be any ai, winter?‘cause there's always these patterns. Like, is this, in the summer is something I constantly think about because do I get, do I just like. Just get endlessly hyped and just trust that I will only be early and never wrong or right. Well, are we, will there be a winter?Marc: So there's something about, say the following.There's something about AI that has led to this repeated pattern. Um, and, and, and you guys know this,swyx: it's summer, winter, summer,Marc: winter, summer, winter, summer, winter. And it goes back 80 years. Yeah. 80 years. Uh, so the original neural network paper was 1943. Right. Which is, which is amazing. Uh, that it was, it was far back that long.And then there was you, if you guys have ever talked about this on your show, but there was this, uh, there was a big, uh, there was an a GI conference at Dartmouth University in 1950. 55. 55, yeah. And they got a NSF grant to, uh, for the, all the AI experts at the time to spend the summer together. And they figured if they had 10 weeks together, they could get a GI, uh, at the other end.And they got their, by the way, they got the grant, they got the 10 weeks and then, you know, 1955, you know. No, no. A GI. And like I said, I, I lived through the eighties version of this where there was a big, a big boom and a crash. And so, so there is this thing, and there, there is something about AI that causes the people in the field, I would say, to become both excessively utopian and excessively apocalyptic.Um, and, and it's probably on both sides of like the, the, the boom bus cycle. You, you kind of see that play out. Having said that, I think what's actually happened is like just, and you know, and we now know in retrospect like an enormous amount of technical progress that built up over time. And like for, for example, we now know that neural network is the correct architecture.And I, I will tell you like there was a 60 year run where that was like a, you know, or even 70 years or that was controversial. And, and we now know that that's the case. And so we, we now, you know, everything we're building on today just sort of derives from the original idea in 1943. And so, so in retrospect, we, we now know that like, these, these guys are right.They, they, you know, they would get the timing wrong and they thought, you know, capabilities would arrive faster, or they were, it could be turned into businesses sooner or whatever, but like, they were fundamentally, the, the scientists who worked on this over the course of decades were fundamentally correct about what they were doing.And, and the, and the payoff from, from, from all their work is happening now. And so, so the way I think about what's happening is basically, I think, I think about basically the, the, the period we're in right now is it's, I call it 80 year overnight success, right? Which is like, it's an overnight success.‘cause it's like bam, you know, chat, GPT hits and then, and then oh one hits, and then, you know, open claw hits and like, you know, these are open, these are, these are like overnight, like radical, overnight transformative successes, but they're drawing on an 80 year sort of wellspring backlog, you know, of, of, of, of ideas and thinking it's not just that it's all brand new, it's that it's an unlock of all of these decades of like very serious, hardcore research.Um, and thinking, and look, there were AI researchers who spent their entire lives. They got their PhD. They, they worked for, they've researched for 40 years. They retired in a lot of cases, they passed away and they never actually saw it work.swyx: Yeah. It's all sad.Marc: It is. It is sad. It's sad. Knewswyx: Jeff Hinton was like the last guy.Marc: Yeah. Yeah. Well, there were the guys, uh, was a guy, Alan Newell. I mean, there's tons of John McCarthy. You know, John McCarthy was like one of the inventors in the field. He's one of the guys who organized the Dartmouth Conference and you know, he taught at Stanford for 40 years. Wow. And passed, you know, passed away, I don't know, whatever, 10, 10 years ago or something.Never, never actually go. Got to see it happen. But like, it is amazing in retrospect, like, these guys were incredibly smart and they worked really hard and they were correct. So anyway, so then it's like, okay, you know, say history doesn't repeat, but it rhymes. It's like, okay, does that mean that there's gonna be another, like, you know, basically boom buzz cycle.And I, I will tell you, like, let, like in a sense, like yes, everything goes through cycles and, you know, people get overly enthusiastic and overly depressed and there's, there's a time, there's a timelessness to that. Having said that, there's just no question. Um, so the form, the foremost dangerous words in investing this time are, this time is different.Do you know the 12 most dangerous words investing? No. The four most d foremost dangerous words in investing are this time is different. Yeah. Um, the 12 most dangerous words. And so like, I'll tell you what's different. Like now it's working like, like there's just no, I mean, look, there's just no question.And by the way, I, I'll just give you guys my take. Like L LLMs, like from, from basically the Chad G PT moment through to spring of 25. I think you could still, I think well intention, well, and of. Form skeptics could still say, oh, this is just pattern completion. And oh, these things don't really understand what they're doing.And you know, the hall hallucination rates are way too high. And, you know, this is gonna be great for creative writing and creating, you know, Shakespeare and so sonnets and, you know, as, as rap lyrics or whatever, like, it's gonna be great and all that stuff, but we're not gonna be able to harness this to make this relevant in, you know, coding or in medicine or in law or in, you know, you know, kind of feels that, you know, kind of really, really matter.And I think basically it was the reasoning breakthrough. It, it was oh one and then R one that basically answered that question basically said, oh no, we're gonna be able to actually turn this into something that's gonna work in the real world. And, and then obviously the coding breakthrough over the, over basically the coding breakthrough that kind of catalyzed over the holiday break was kind of the third step in that.Mm-hmm. Where you're just like, alright, if, if, you know, if Linus Tova is saying that the AI coding is no better than he is like. Like, that's, that's never happened before. That's theswyx: benchmark.Marc: Yeah. That's never happened before. And so now we know that it's, it's gonna sweep through coding and, and then, and then we, we know, you know, we know that if it's gonna work in coding, it's gonna work in everything else.Right. It's just then, because that's, that's like, that's like, that's like the hardest in many ways. That's the hardest example. And how everything else is gonna be a, a derivative of that. And then on top of that, we just got the agent breakthrough, you know, with Open Claw, which is fantastic. Which is amazing and incredibly powerful.And then we just got the, the, um, the auto research, uh, you know, the, the self-improvement. You know, we're now into the self-improvement breakthrough. And so the, so the way I think about it is we've had four fundamental breakthroughs in functionality, l OMS reasoning, uh, agents, um, and then, uh, and, and then now RSI, um, and, and they're all actually working.Um, and so I'm, I'm just, as you like, you can tell I'm jumping outta my shoes. Like, like this is, like this is it like this, this is the culmination of 80 years worth of worth of work, and this is the time it's becoming real.Alessio: Yeah.Marc: I, I'm completely convinced.Alessio: I think the anxiety that people feel is like during the transistor era, yet Mors law, and it's like, all right, we understand why these things are getting better.We understand the physics of it. Yeah. With ai, it's. It's so jagged in like the jumps where like, like you said, it's like in three months you have like this huge jump like, and people are like, well this can keep happening. Right? But then it keeps happening,Marc: it'll keep happening.Alessio: And so like how do you think about also timelines of like what's we're building?I think we always have this question with guests, which is like, you know, should you spend time building harness for a model versus like the next model just gonna do it one shot in the lead space. Right. And how does that inform, like how you think about the shape of the technology? You know, you talk about how it's a new computing platform.If you have a computing platform, then like every six months it like drastically changes in what it looks like. It's hard to build companies on top of it.Marc: Yeah. So, so a couple things. So one is like, look, the, the Moore's law was what we now call a scaling law. Like Moore's Law was a scaling law and for your younger viewers, more Moore's Law was every chip chip chips either get twice as powerful or twice as cheap every, every 18 months.And that, and that and that, you know, that it's gotten more complicated in the last few years. But like that, that was like the 50 year trajectory of, of, of the computer industry. And then, and then by the way, and that's what took the mainframe computer from a $25 million current dollar thing into, you know, the phone in your pocket being, you know, a million times more powerful than that.Like that, you know, for, for 500 bucks. And so that, that was a scaling law. And then, and then, and then key to any scaling law, including Moore's Law and the AI scaling laws is, you know, they're not really laws, right? They're, they're, they're, they're predictions, but when they work, they become self-fulfilling predictions because they, they, they, they, they set a benchmark and, and then the entire industry, right?All the smart people in the industry kind of work to make sure that, that, that actually happens. And so they, they kind of motivate the breakthroughs that are required to, to keep that going. And, and in and in chips, that was a 50 year, that was a 50 year run. Right. And it, it was amazing. And it's still happening in, in some areas of, of chips.I think the same thing is happening with the, the core scaling laws. The core scaling laws. In, in, in ai, you know, they're, they're not really laws, but like they, they are basically. There are predictions and then they're motivating catalysts for the research work that is required to be. And, and, and, and by the way, also the investment, uh, dollars, um, uh, you know, required to basically keep, you know, keep the curves going and, and look, it, it is, it's gonna be complicated and it's gonna be variable and they're, you know, there're gonna be walls that are gonna look like they're fast approaching, and then they're gonna be, you know, engineers are gonna get to work and they're gonna figure out a way to punch through the walls.And obviously that's, you know, that's been happening a lot, you know, and then look, there's gonna be times when it looks like the walls have, you know, the, the, the laws have petered out and then they're gonna, they're gonna pick up again and surge and then, and then, and then it, it appears what's happening to the eyes is there's not multiple, you know, multiple scaling laws.Um, there's multiple areas of improvement. And, and I think, you know, I don't know how many more there are already yet to be discovered, but there are probably some more that we don't know about yet. You know, they, like, for example, there's probably some scaling law around, um, world models and robotics that we don't fully understand, you know, kind of acquisition of data at scale in the real world that we don't fully understand yet.So that, that, that one will probably kick in at some point here. There's a bunch of really smart people working on that. Um, and so, yeah, I, I think the expectation is that, that, you know, the, the scaling laws generally are gonna continue. Yeah. The, the pace of improvement will continue to move really fast.Um. To your question on like what to build. So, uh, I'm a complete believer the scaling laws are gonna continue. I'm a complete believer the capabilities are gonna keep getting amazing, um, you know, leaps and bounds. Uh, the part where I kind of part ways a little bit with how, what I would describe as the AI purists, um, you know, which is, which I would characterize as like the people who are.In many ways, the smartest people in the field, but also the people who spend their entire life, like at a lab, um, and have, have, I would say, have very little experience in the outside world. Um, the, the, the nuance I would offer is the outside world of 8 billion people and institutions and governments and companies and economic systems and social systems is really complicated.Um, and, um, and doesn't, you know, it it 8 billion people making collective decisions on planet Earth is not a simple process of like, just like you see this happening now. It's like a bunch of AI CEOs have this thing, which is just like, well, there's just this, they just all have this kind of thing when they talk in public where they're just like, well, there's these, these obvious set of things that so society to do.Alessio: Mm-hmm.Marc: And then they're like, society's not doing any of those things. Right. And it's like, how can society not, you know, what, whatever their theory is, how can society not see x, y, Z? Mm-hmm. And the answer is, well, society is number one. There's no single society, it's like 8 billion people. And they like all have a voice, and they all have a vote, like at the end of the day of how they, they react to change.And then, you know, it just like, it's just human reality is just really complicated and messy. Um, and, and, and so the specific answer to your question is like, as usual, it depends. Um, you know, it, it depends. Look, pe there's no question people are gonna, like, there's no question they're gonna be companies.It's already happening. There are companies that think that they're building value on top of the models and then they're just gonna get blissed by the, by the next model. There's no question that's happening. But I think there's no question also that just the process of adaptation of any technology into the real and into the real messy world of humanity is, is just going to be messy and complicated.It's, it's not going to be simple and straightforward. It's gonna be messy and complicated. And there are gonna be a lot of companies and a lot of products, um, uh, and in, in fact entire industries that are gonna get built to, to, to basically actually help all of this technology actually reach real people.Alessio: The amount of capital going into these companies, I mean, Dario talked about it on the Door Cash podcast and Door Cash was like, why don't you just buy 10 x more GPUs? And he is like, because I'm gonna go bankrupt if the model doesn't exactly hit the, the performance level. How do you think about that?Also as a risk on, you know, you guys are investors, open AI and thinking machines and world apps. It seems like we're leveraging the scaling loss at a pretty high rate, right? Like how comfortable, I guess, do you feel with the downside scenario, like, and say like things Peter out, you think you can kind of like restructure uh, these build outs and uh, you know, capital investments.Marc: Yeah. So should start by saying, so I live through the.com crash, um, and I can tell you stories for hours about the.com crash and it was horrible. No, it was awful. It was, it was, it was apocalyptic by the way. The, a lot of the.com crash was actually at the time, it was actually a telecom crash. It was a bandwidth crash.Like the, the thing that actually crashed, that wiped out all the money with the tele, the telecom companies.swyx: GlobalMarc: crossing. Global, global, yeah.swyx: I'm from Singapore and they, they laid so much cable o over over our oceans.Marc: Actually there was a scaling law in the.com. Era. And it was literally the, the US Commerce Department put out a report in 1996 and they said internet traffic was doubling every quarter.Um, and, and actually in 1995 and 1996, internet traffic actually did double every quarter. And so that became the scaling law. And so what all these telecom entrepreneurs did was they went out and they raised money to build fiber, anticipating that the demand for bandwidth is gonna keep doubling every quarter.Doubling every quarter though is like, you know, grains of chess and the chessboard, like at some point the numbers become extremely large. Right. And, and, and it really, and really what happened was the internet. The internet by the way, continuously kept growing basically since inception. And it's, you know, it's, it's continuously grown.It's never shrunk. And it's grown really fast compared to anything else. Mm-hmm. You know, in, in, in human history. But it wasn't doubling every quarter as of 19 98, 19 99. And so there was this gap in the expectation of what they thought was a scaling law versus reality. And that's actually what caused the.com crash, which was the, it they, they way over companies like global crossing way overbuilt fiber, which is sort of the, and by the way, fiber, telecom equipment, you know, so all the, all the networking gear, you know, and then, and then by the way, the actual physical data centers, like that was the beginning of the, of the, of the data center build and then, and the data center overbuild.And so you had that, but it was, it was literally, I think it was like $2 trillion got wiped out, right? It was like Jesus, it was like a big, it was. And by the way, the other, the other subtlety in it was the internet companies themselves never really had any debt. ‘cause tech, tech companies generally don't run on debt, but the telecom companies run on debt.Physical infrastructure companies run on debt. And so the companies like Global Crossing not just raise a lot of equity, they also raise a lot of debt. So they're highly levered. And so then you just do the thing. It's just like, okay, you have a highly levered thing where you're, you're just over, you're overbuilding capacity.Demand is growing, but not as fast as you hoped. And then boom, bankrupt. Right. And, and then it, and then it's like they say about the hotel industry, which is, it's always the third owner of a hotel that makes money. It has to go bankrupt twice, right? You have to wash out all of the over optimistic exuberance before it gets to actually a stable state.And then it makes money. So by the way, all of those data centers and all of those, all the fiber that they're in use, it's all in use today. Yeah. But 25 years later. But it, it, it took, and actually the elapsed time was, it took 15 years. It took 15 years from 2000 to 2015 to actually fill, fill up all that capacity.The cautionary warning is the, the overbuild can happen. Um, and, and, and, and, you know, you, you get into this thing where basically everybody, everybody who basically has any sort of institutional capital, it's like, wow. It's just, I, I don't know how to invest in these crazy software things. For sure I can put build data centers and for sure I can buy GPUs that I can deploy, you know, compute grids and, and all these things.Um, and so, you know, if you're a pessimist, you could look at this and you could say, wow, this is like really set up to be able to basically replicate, you know, what we went through, what we went through in 2000. Obviously that would be bad. The counter argument, which is the one I I agree with, which is the counter on, on the other side is a couple things.One is the companies that are investing all the, the companies that are investing the money are like the bluest chip of companies. And so back, back, back in the, in the do, like Global Crossing was like a, it was like an entrepreneur. It was like a, a new venture, but like the money that's being deployed now at scale is Microsoft, and, you know, and Amazon and Google, Facebook and Facebook and Nvidia and, you know, these, these, these, and, and now you know, by the way, open ai philanthropic, which are now at like, you know, really serious size, um, you know, as companies with, you know, very serious revenue.These are very large scale companies with like, lots, lots of cash, lots of debt capacity that they've, they've never used. And so th this is institutional in a way that, that really wasn't at the time. And then the other is, at least for now, every dollar that's being put into anything that results in a running GPU is being turned into revenue right away.Like so, and you guys know this, like everybody's starved for capacity, everybody's starved for compute capacity and then, you know, all the associated things, memory and, and, and interconnected and everything else. Um, data center space. And so e every dollar right now that's being put into the ground is turning into revenue.And, and it, and in fact, I actually think there's an interesting thing happening, which is because everybody starve for capacity, the models that we actually have that we can use today are inferior versions of what we would have if not for the supply constraints. That's true. Um, if Right pose a hypothetical universe in which GPUs were 10 times cheaper and 10 times more plentiful mm-hmm.The models would be much better. ‘cause you would just allocate a lot more money to training and you'd just build better models and they would be better. Um, and so we're, we're actually getting the sandbag version of the technology.swyx: Yeah. No. Everything we use is quantized because the, the labs have to keep the, the full versions,Marc: right?swyx: LikeMarc: we're not even getting the good stuff.swyx: Yeah.Marc: But, but getting the good stuff, it's, it's just, even if technical progress stops. Once there's like a much bigger build of like GPU manufacturing capacity and memory, you know, all, all the things that have to happen in the course of the next five or 10 years.Once it happens, even the current technology is gonna get, gonna get much better. And then as you know, like there's just like a million ways to use this stuff. Like there's just like a million use cases for this. Mm-hmm. Like, it, it, you know, this isn't just sending packets across a, a thing, whatever, and hoping that people find something to do with it.This is just like, oh, we apply intelligence into every domain of human activity. And then it works like incredibly well. Yeah. Um. Here's what I know, here's what I know. Um, in the next three or four year, it's like somewhere between three or four years out, basically everything is selling out. So like the, the entire supply chain is, is, is, is sold out or, or, or selling out.And so there, there's no, like, we're just gonna have like chronic supply shortage for, you know, for years to come. Um, there's going to be a response from the market that's gonna result in an enormous, you know, it's happening now. An enormous flood of investment in a new fab capacity and ev you know, every, everything else to be able to do that, at some point the supply chain constraints will unlock, you know, at least to some degree that will be another accelerant to industry growth when that happens.‘cause the products will get better and everything will get cheaper. Um, and so, so I know that's gonna happen. I know that, you know, the deployments, you know, the, the actual use cases are like really compelling. And then, like I said, you know, with reasoning and agents and so forth, like, I know they're just gonna get like much, much better from here.And so I, I, I know the capabilities are like really real and serious. I also know that the technical progress is not going to stop. It. It, it is excel. It is, is accelerating. Like the, the breakthroughs are are tremendous. I mean, even just month over month, the breakthroughs are really dramatic. And so, you know, I think if you were a cynic and there, there are cynics, you can look at 2000, you can find echoes.But I can't even imagine betting it that this is gonna like somehow disappoint and, you know, at least for years to come, I think it would be essentially suicidal to make that bet. Yeah. Um, it was that Michael Burry, uh, uh, that'sswyx: anMarc: interesting guy, huh? We'll pick on a guy. We'll pick, let's pick on one guy.We'll pick. Well ‘cause he did, he he came out with, it was, it was the, heswyx: doesn't mind.Marc: It was the Nvidia short. Right. He came with the Nvidia short. And then if you guys probably talked about this, which is the, the analysis now that like the current models are getting better faster at such a rate that if you are running an Nvidia, if you're running an Nvidia inference chip today, that's three years old, you're making more money on it today than you did three years ago because the pace of improvement of the software is, is faster than the, the, the depreciation cycle, the chip.And then my understanding is Google is running. I don't if they've, I don't know exactly what, uh, these are rumors that I've heard or maybe it's public, but, um, I think Google's running very old TPUs, very profitably. Ference. Yeah. And very profit and very profitably. Yeah. Um, and so, so it actually turns out, as far as I can tell, it's actually the opposite of the Beery thesis is actually.He was actually 180 degrees wrong. It's actually the, the, the, the old Nvidia chips are getting more valuable, which is something that's like literally never happened before. Like it's never been the case that you have an older model chip that becomes more valuable, not less valuable. And that, and again, that's an expression of the just ferocious pace of software progress.Ferocious pace of capability payoff. Yeah. Uh, that you're getting on the other side of this. And so I just, the idea of betting against that, like.swyx: Yeah. Yeah. Well, one ofMarc: my, it seems like an invitation to get your face ripped up.swyx: One of my early hits was like modeling the lifespan of the H 100 and h two hundreds and, and going like, you know, usually they advise like four to seven years and it was, you know, maybe you sort of realistically haircut cut it down to two to three.Yeah. But actually it's going up and not down. Yeah. And, and uh, that's, I mean that's, I think that's the dream. Uh, we are finding utilization and I think utilization solves all problems. Like, you can, you can find use, use cases for even like the poor, like even memory, we're having a shortage. Right. And, and even like the, the shittier versions of, of memory that we do have, we are finding use cases for it.So like That's great.Marc: Yeah.Alessio: How, how important is open source AI and kinda like edge inference in a world in which you have three years of supply crunch. Like, do you think in the, like, you know, if you fast forward like five years, like how do you think about inference, uh, in the data center versus at the edge?Marc: Well, so just to start, yeah. So I think, I think open source is very important for a bunch of reasons. I think edge, edge inference is very important for a bunch of reasons. I, I think just practically speaking, if we're just gonna have fundamental construc, supply crunches for the next, I mean, you, you guys know if you just project forward demand over the next three years, right?Yeah. Relative to supply, one of the, its main predictions you can do is what's gonna, what, what's gonna happen to the cost of, of inference in the core, uh, over the next three years? And like, it may rise dramatically, right? Like, so, so what is, and then is, is, you know, like the, the, the big model competition are subsidizing heavily right now.Right? Right. And so, so what's the, what will be the average person's, you know, per day, per month token cost, you know, three years from now to do all the things that they want to do. And I, I don't know, it's gonna. I mean, I have, you guys probably have friends, I have friends today who are paying a thousand dollars a day for open claw, for claw tokens to run open claw.Right? And so, okay. $30,000 a month. Right? And, and by the way, those, those friends have like a thousand more ideas of the things that they want their claw to do, right? Yeah. And so you, you could imagine there, there's like latent demand of up to, I don't know, five or $10,000 a day of, of, of tokens for a fully deployed, you know, per personal agent.Uh, and obviously consumers can't pay that, right? And so, so, but it gives you a sense of the fu of the fu of the future scope of demand, right? And so, so even, even if there's a 10 x improvement in price performance, that still, you know, goes to a hundred dollars a day, which is still way beyond what people can pay.Mm-hmm. So there's just gonna be like. Ferocious to me, by the way. The agent thing, the other interesting thing is I think the agent thing, so up until now, a lot of the constraints of GGPU constraints, I think the agent thing now also translates into CPU constraints. Mm-hmm. Right?swyx: CPU memory.Marc: Yes. CPU memory, right?And so, like the entire chip ecosystem is just gonna get wait,swyx: wait for network constraints, that that will be the killer.Marc: It's all bottleneck potentially for years. And so, so I, I think that Brad, and, and I think it's actually possible, I mean, generally inference costs are gonna keep coming down, but I think the, let's put it this way, the rate of decline, I think may level out here for a bit because of these supply constraints.And then at some point, maybe the lab stops subsidizing so much and that, that, that again, will be, be an issue. And so there's just gonna be so much more demand for inference than, than can be satisfied. Um, you know, kind of with the centralized model. And then, and then, you know, you guys know this, but like all the, just the dramatic, I mean just the dramatic innovations that have happened in the Apple silicon to be able to do, uh, inferences, it's quite amazing the level of effort being put.Like the open source guys are putting incredible effort into getting, you know, this recurring pattern where the big model will never run on a pc, and then six months later mm-hmm. Oh, it runs in a pc, right? It's like amazing. And there's very smart people working on that. So there's all that. And then look, there's also, you know.There's also like other, there's other motivators. There's other motivators which is just like, okay, how much trust are the big centralized model providers? You know, how much trust are they building in the market versus, you know, how much are, you know, at least for, in certain cases with some people, for certain use cases, people being like, well, I'm not willing to just like, turn everything over.So there, there, there's all the trust issues. Um, by the way, there's also just like straight up price optimization. There's many uses of AI where you don't need Einstein in the cloud. You just need like a, a a, a smart local model. There's also performance issues where you want, you know, you want, you know, you're gonna want your doorknob to have an AI model in it.Right. You know, to be able to, you know, do, um, you know, to be able to do access control. Um, obviously like everything with a chip is gonna have an AI model in it. Mm-hmm. And it, a lot of those are gonna be local. Um, and so, yeah. No, like I think, I think you're gonna have ti and then you're gonna, by the way, also wearable devices, you know, you don't wanna do a complete round trip.You want, you know, you, whatever your smart devices are, you want it to be like super low latency. Yeah.swyx: The question, do we care who makes it? Yeah. One of the biggest news this week was the collapse of AI two, the Allen Institute. Mm-hmm. One of the actual American open source model labs. Yeah. Um, and, uh, I'm not that optimistic on, on American open source.Yeah. Like you, you guys invested in MIS trial and MIS trial's doing extremely well outside of China. That's about it.Marc: Yeah. We'll see. We'll see. I look, I, number one, I do think we care. Uh, I do think we, I do think we care who makes it. Um, I would say this, the, the, the, the previous presidential administration wanted to kill it in the us Oh yeah.They wanted to drown in the bathtub. Um, and so they wanted to kill it. So at least we have a government now that actually like, actually wants it wants it to happen. And youswyx: earned to councilMarc: and Yeah. And the new and the P pcast. Yeah. So the, the, you know, this admin for whatever other political issues people have, which are many, you know, this administration has, I think a very enlightened view and in particular an enlightened view on AI and in particular on open source ai.Uh, and so they're very supportive. Um, my read is the Chi. The Chinese have a very, the various Chinese companies have a very specific reason to do open source, which is, they, they, they don't fundamentally, they don't think they can sell commercial, uh, AI outside of China right now. And or at least specifically not, not in the US for a combination of reasons.And so they, they kind of view, I think, open source AI as a bit of a loss leader against basically domestic, uh, you know, paid, paid services. And then kind of an, you know, kind of an ancillary products. You know, they're, they're very excited about it, by the way. I think it's great. I think it's great that they're doing it.Um, you know, I think Deeps seek was like a gift to the world. Um, I think. The great thing about open source, open source, the, the, the impact of open source is felt two ways. One is you, you get the software for free, but the other is you get to learn how it works, right? And so like the paper, the paper, the paper and, and the code, right?And the code. And so, like, for example, I thought this was amazing. So open comes out with L one and it's an amazing technical breakthrough, and it's just like, absolutely fantastic. But of course they don't explain how it works in detail. And then of course they hide the, they hide the reasoning traces, right?And, and then, and then, and then everybody's like, okay, this is great, but like, who's gonna be able to replicate this? Are other people gonna be able to do this? You know, is their secret sauce in there? And then our one comes out and it's just like, there's the code and there's the paper, and now the whole world knows how to do it.And then, you know, three months later, every other AI model is, is adding reasoning. And so, so you get this kind of double, like even if the Chinese models themselves are not the models that get used, the education that's taken place to the rest of the world, the information diffusion, you know, is incredibly powerful.So that happens and then, I don't know. We'll, we'll see. You know, there are a bunch of American, you know, open source, you know, ai, uh, model companies. I mean, look, there's gonna be tremendous, you know, there already is. There's, you know, there's gonna be tre there's tremendous competition, uh, among the primary model companies.You know, there's, depending on how you count, there's like four or five, you know, big co model companies now that are, you know, kind of neck and neck, uh, in different ways. Um, uh, you know, and, and, and, um, you know, and then obviously Bo Bo both X and then MetAware involved are, you know, both have huge, you know, huge attempts to, you know, kind of, to kind of leapfrog underway.And then you've got, you know, a whole fleet of startups, new companies, including a whole bunch that we're backing, that are, you know, trying to come out with different approaches. And then you've got whatever it is. I don't know how, how many, how many, like main line foundation model companies are there in China at this point?It's probably six. It'sswyx: five Tigers is what they call it. Yeah. Uh, Quinn is in questionable because there's change in leadership,Marc: right?swyx: Yeah.Marc: But that, does that include, that includes like Moonshot,swyx: yes. Can deep seek, uh, uh, ZI, um, Quinn oh one is in there.Marc: Right. And then, um, and by dance and, and then you see,swyx: ance would be like the next tier ance.They weren't as prominent. They weren't, didn't haveMarc: a leading. Yeah. But they, you at least, you know, ance is very inspiring and presumably they have more stuff coming and Tencent probably has more stuff coming and, and so forth. And so, so, so like, look, here, here would be a thing you can anticipate, which is there are not these markets, there are not going to be between the US and China right now, there's like a dozen primary foundation model companies that are like at scale, at, at some level of a critical mass.It's not gonna be a dozen in three years, right? Like, it just because these industries don't bear a dozen, it's, it's gonna be three or you know, there's gonna be three or four big winners or maybe one or two big winners. And so there's gonna be like a whole bunch of those guys that are gonna have to figure out alternate strategies.Um, and I think like open source is one of those strategies. And so I, I think you could see like a whole, i, I, I think the questions like, who's gonna do open source? I think that could change really fast. I, I think that, that, that's a very dynamic thing. I think it's very hard to predict what happens. And, and I think it's very important.swyx: NVIDIA's doing a lot.Marc: Well, I was gonna say. Well, exactly. And then you're got Nvidia and then, and then, you know, just to, again, indu, there's an old thing in business strategy, which is called, uh, commoditize Compliments. Commoditize the compliment. That's right. And so if your Jensen is just kind of obvious, of course, you wanna commoditize the software.Yeah. And he's, and to his enormous credit, he's putting enormous resources behind that. And so maybe it, maybe it's literally Nvidia and I think that would be great.Alessio: Yeah. Uh, narrative violation to European projects, uh, in the, uh, damn.swyx: I'm hosting my, uh, Europe, uh, conference soon. And I got both of them.Alessio: They got us.They got us. MarkMarc: finished. They got us, us. Well, wait a minute. Where was Peter? So where was Steinberger when he did? In AustriaAlessio: was, yeah, yeah, yeah.Marc: He was in what? He was in Vienna. Oh, he was in Vienna. And then where is he now?swyx: Uh, he's moving to sf.Marc: Okay. Okay. Alright. Okay, there we go. And then, yeah, the PI guy, right?The PI guys are European.swyx: Yeah, they're also, they're buddies inAlessio: Australia. Mario's also there. Yeah.Marc: Right. And are they, yeah, they haven't announced yet. Any sort of change changed or have theyAlessio: No, they're, they have a company there.Marc: Okay. Got, okay. Good.Alessio: Good, good,good.Alessio: Um,Marc: yeah, good.swyx: Anyways, I think pie and open cloud very important software things and, and I just wanted you to just go off on what you think.Marc: Yeah. So I think in co the, the combination of the two of them I think is one of the 10 most important softwares. Openswyx: Claw got all the attention, but Right. Talk about pie,Marc: pi pie's, kind of the Yeah. PI's, PI's kind of the architectural breakthrough for those of us who are older. There was this whole thing that was very important in the world of software basically from like 1970 to, I don't know, it still is very important, but like 19, from 1973 to like basically the creation of Linux, which is basically this, this thing used to call like the Unix mindset.Like so, so, ‘cause there were all these different, you know, theories. There are all these different operating systems and mainframes and, and then you know, all these windows and Mac and all these things. And then there was this, but kind of behind it all was this idea of kind of the Unix mindset. And the Unix mindset was this thing where basically you don't have these, like, like in the old days, like, like the operating system that like made the computer industry really work, like in the 1960s mm-hmm.Was this thing called o os 360, which was this big operating system that IBM developed that was supposed to basically run everything. And it was this like giant monolithic architecture in the sky. It was like a, you know, it was like a giant castle. Um, of software. And, and by the way, it worked really well and they were very successful with it.But like, it was this huge castle in the sky, but it was this thing, it was almost unapproachable, which is like, you had to be kind of inside IBM or very close to IBM. And you had to really understand every aspect, how the system worked. And then the, the Unix sky is originally out of at and t and then out out of Berkeley, um, you know, came out and they said, no, let's have a completely different architecture.And the way architecture's gonna work is we're gonna have, we're gonna have a, a prompt and, and a, and a shell. And then, and then we're gonna, all, all the functionality is gonna be in the form of these discreet modules, and then you're gonna be able to chain the modules together. Mm-hmm. Yeah. And so like the, the, the op, it's almost like the operating, operating system itself is gonna be a programming language.Um, and then that led led to the, the, the sort of centrality of the shell. Um, and then that led to sort of, uh, you know, basically chaining together Unix tools. And then that led to the emergence of these, these scripting languages like Pearl, where you, you could basically kind of very easily do this, and then the shells got more sophisticated and then, and then, and then look like, you know, that, that, that number one, that worked and that, that was the world I grew up in.Like I was, I was a Unix guy. You know, sort of from, call it 1988 to, you know, kind of all, all the way through my work and it worked really well. It, it's in the background, um, you know, nor normal people don't need to, didn't need to necessarily know about it, but like, if you were doing like system architecture, application development, you, you, you knew all about it.Um, and then, you know, it's been in the background ever since. And, you know, look, your Mac still has a Unix shell, you know, kind of in there, and your iPhone still has a Unix shell kind of buried in there somewhere. So they're kind of in there. And then, you know, the Windows shell is kind of a, you know, sort of a weird derivative of that.But, um, you know, but look, the inter, the internet runs on Unix, um, and that smartphones, actually, both iOS and Android are Unix derivatives. And so, you know, kind of Unix did end up winning. But, but anyway, and then we just started taking that for granted. And then, and then so, so basically the, the way I think about what happened with Pie and then with Open Claw is basically what those guys figured out is, I always say the, the great breakthroughs are obvious in retrospect, right?Which is the best kind, the best kind. They weren't obvious at the time or somebody else would've done them already. Um, and so there is a, like a real conceptual leap, but then you look at it sort of the backwards looking and you're just like, oh, of course. Mm-hmm. Like the, the, to me those are always the best breakthroughs.Well, actually language models themselves are like that. It's just like, oh, next token completion. Oh, of course.swyx: Yeah. What other objective mattered?Marc: Yeah, exactly. But, but like it, right. But she's even saying it wasn't obvious until somebody actually did it. Right. And so the conceptual breakthrough is real and deep and powerful and, and very important.And so the way I think about pie and olaw is it's basically marrying the, the language model mindset to the un to the Unix, basically shell prompt mindset. And so it's, it's basically this idea that what, what, so what is an agent, right? And as, as, and as you know, like many smart people who have been trying to figure out what an agent is for, for, for decades, and they've had many architectures to build agents and the whole thing.And it turns out what is an agent. So it turns out what we now know is an agent is the following. It's, so it's a language model. And then above that, it's a ba, it's a bash shell. Um, so it's a, it's a Unix shell, and then it's, and then the agent has access, uh, has access to, to the shell. And, you know, hopeful, hopefully in a sandbox, maybe in, maybe in a sandbox.So it's, it's the model. Um, it's the shell. Um, and then it's a fi, it's a file system. Um, and then the state is stored in files. And then, you know, there's the markdown format for the, you know, for, for the files themselves. And then, and then there's basically what in Unix is called Aron job. There's a loop and then there's a heartbeat for the, there's heartbeat and, and the thing basically Wake Wakes up.Wakes up. So it's basically LLM plus shell, plus file system, plus markdown, plus kron. And it turns out that's an agent. And, and, and every part of that, other than the model is something that we already completely know and understand. And in fact, it turns out that like the latent power of the Unix shell is like extraordinary because basically like all, like, there's just like an, there's just enormous latent power in the shell.There's enormous numbers of Unix commands, there's enormous number of command line interfaces into all kinds of things already in the, you know, your entire, I mean your entire, just to start with, your computer runs on a shell. If you're running a Mac or a, or, or a phone, your computer, your computer's running on a shell, uh, already.And so like the full power of your computer is available at the command line level. Um, and then it turns out it's really easy to expose other functions as a command line interface. And so like this whole idea where we need like MCP and these like product mm-hmm. Fancy protocols, whatever, it's like, no, we don't, we just need like a command, command line thing.So that's the architecture. And then it turns out what is your agent? Your agent has a bunch of files starting a file system. And then there's the thing that just like completely blew my mind when I write my head around it as a result of this, which is like, okay. This means your agent is now actually independent of the model that it's running on.Because you can actually swap out a different LLM underneath your agent and your, your agent will change personality somewhat. ‘cause the model is different, but all of the state stored in the files will be retained.swyx: Yeah. Different instruction set, but you just compiledit.Marc: Right, exactly. And it's all right.It's like right. Swapping out a ship and recompiling, but it's, it's still, it's still your agent with all of its memories. Um, and with all of its capabilities. And then by the way, you can also swap out the shell, uh, so you can move it to a different execution environment that is also, is also a b shell, by the way, you can also switch out the file system, right.Uh, and you can, and you can, and you can swap out the, the, the heartbeat for the, the crown framework, the, the loop that the agent framework itself. And so your agent basically is ba basically at the end of the day, it's just. It's just, its files. Um, and then, and then there's of course it a openswyx: call.Marc: Yeah, it's, it's basically, it's, it's just the files.Um, and then by the way, as a consequence of that, the agent and then the agent itself, it turns out a couple important things. So one is it, it's, it, it can migrate itself, right? And so you're, you can instruct your agent, migrate yourself to a different, uh, runtime environment, migrate yourself to a different file system, migrate yourself to a different, you know, swap out the language model.Your agent will do all that stuff for you. And then there's the final thing, which is just amazing, which is the agent is the agent actually has full introspection. It actually, it actually knows about its own files and it could rewrite its own files. Right. Which by the way, is basically no widely deployed software system in history where the, the, the thing that you're using actually has full introspective knowledge of how it itself works and is able to modify itself.Like that, that, I mean, there have been toy systems that have had that, but there, there's never been a widely deployed system that has that capability and then that leads you to the capability. That just like completely blew my mind when I wrap my head around it, which is you can tell the agent to add new functions and features to itself and it can do that.Extend yourself. Yeah. Right? Extend, extend yourself. Like extend yourself. Give yourself a new capability. Right? And so, and so literally it's just like you run into somebody at a party and they're like, oh, I have my open claw, do whatever, connect to my eat, sleep bed, and it gives me better advice and sleep.And you go home at night and you tell your claw, or if they're at the party, by the way, you tell your claw, oh, add this capability to yourself. And your claw will say, oh, okay, no problem. And it'll go out on the internet and it'll figure out whatever it needs and then it'll go out to claw code or whatever.It'll write whatever it needs. And then the next thing you know, it has this new capability. And so you don't even have to, like, you can have it upgrade itself without even having to, without having to do anything other than tell it that you want it to do that. And so anyway, so the, the combination of all this is just, I mean, this is just like a massive, incredible, I mean, it's just incredible.Like if I, if I were, if I were 18, like this is a hundred, this is what I would be spending all of my time on. This is like such an incredible conceptual breakthrough. Yeah. And again, pe people are gonna look at it and they already get this response. People are gonna look at it and they're gonna say, oh, well, where's the breakthrough?‘cause these, the, all of these components were already known before. Mm-hmm. But, but this is the key, the key to the breakthrough was by using all these components that were known before, you get all of the underlying capability of that's buried in there. And so all, and so for example, computer use all of a sudden just kind of falls, trivi, trivial.Of course it's gonna be able to use your computer. It has full access to the shell. Right. And then, and then you just, you, you give it access to a browser, and then you've got the computer and the browser and, and often away it goes. And, and then you've got all the abilities of the browser also. Um, yeah.And so, and so the capability unlock here is profound. My friends who are, you know, deepest into this, are having their claw do like a, like, literally like a thousand things in their lives. They have new ideas every day. They're just like constantly throwing new challenges at the thing. And by the way, it's early and, you know, these are, you know, these are prototypes and there are, you know, as you guys know, there's security issues.Yeah. And, and so, you know, there's a bunch of stuff to be ironed out, but the, the unlock of capability is just incredible.swyx: Yeah.Marc: And I, I have absolutely no doubt that everybody in the world is gonna, is gonna have at least, you know, an agent like this, if not an entire family of agents. And w

Ons staar volgende week reuse brandstofprysverhogings in die gesig. Dit lyk soos amper R6 per liter petrol en meer as R10 per liter diesel. Daar was menigte oproepe om die impak hiervan te versag deur die vehogings in die brandstofheffing en koolstofbelasting uit te stel, of selfs te skrap. Die styging in die heffings is saam 21 sent per liter. Ek sien nie so vinnig ʼn betroubare raaiskoot van hoeveel ekstra belasting-inkomste die verhoging begroot is om te lewer nie, maar een raming is rondom R2,13 miljard. In die totale Begroting is die nie baie nie en deur net uit te stel kan die regering net ʼn deel daarvan verloor. Dit lyk egter nie of dit gaan gebeur nie en daar is belangrike redes om nie met prysseine te mors nie.

Welcome to Dev Game Club, where this week we continue our series on Majora's Mask. We talk a bit about getting stuck, the structure, and do some extended catch-up on email. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Sections played: Up to Swamp Dungeon Issues covered: making it feel different, long-winded save mechanics, interrupting your play, expecting it to be okay to let the world end, the threatening moon, how games hold up, the usual strategy for reuse: more of the same, making the main mechanic out of a minor Ocarina mechanic, recontextualizing models and similar locations, the groom mask and the new interactions, constraining locations you can reach, the audio mix, being able to control for when certain events happen or not, being unclear on whether the water is poison, searching high and low for a bottle, a non-Nintendo moment, implying that the player could have been prepared, looking forward to more masks, reusing your engine, platform architecture converging, changing goals requiring changing programs, a podcast guidebook, Tim's annotated notes, finally having a list, recency bias, convergence of mechanics in AAA games, a story of a dev inspired by events and the podcast, asset flips, Majora's Mask inspiration.  Games, people, and influences mentioned or discussed: CalamityNolan, Outer Wilds, Melancholia, Stranger Things, Wind Waker, Ultima, Hitman, GameCube, Oddberry Games, Vitor, Eye of the Beholder (series), Doom (series), Fallout (series), Monkey Island (series), Warren Spector, Origin Systems, Apple ][, PlayStation, Xbox, Unreal, Republic Commando, Call of Duty, Medal of Honor, Mystery Dip, Carlos, Dark Souls, Deadly Premonition, Hollow Knight, Ubisoft, Anthony Vaccaro, Synersteel Studios, Eric Heimberg, Sandra Powers, Nicholas Vaccaro, Maria Vaccaro, Valley of Shadow, What Remains of Edith Finch, The Witness, The Talos Principle, Raymond, Drew, David Lynch, Takashi Tezuka, Twin Peaks, Link's Awakening, Dwarf Fortress, Mors, Kirk Hamilton, Aaron Evers, Mark Garcia.  Next time: More Majora's Mask Links: Valley of Shadow via Steam  Twitch: timlongojr and twinsunscorp YouTube Discord DevGameClub@gmail.com mailto://devgameclub@gmail.com

Dat scheune an Plattdüütsch is je, wat dat so eenfach is. Wi hebbt blots twee Fälle, Nominativ un Akkusativ: Is „de“ Bleudsinn (Nominativ) dat Thema, denn snackt man över „den“ Bleudsinn (Akkusativ). Mehr gifft dat bi uns ni. Dat de Dativ also den Genitiv sien Doot ween schall, dat is uns annerlei. Liekers gifft dat in uns Sprook so'n poor Hokens. So is dat ook mit de Eentohl un de Mehrtohl vun mennige Wöörd. Singular un Plural seggt de Theoretiker dorto. Nehmt wi mol dat Woord „Mors“. Wenn man to'n Bispeel achter dree Lüüd löppt, annerlei wat dat Mannslüüd, Fruunslüüd oder Diverse sünd, un man finnd, dat jedeneen vun de Dorsten för sick 'n smucken Mors hett, denn wurr man op Hochdüütsch seggen, de hebbt scheune „Hintern“ – bi Hintern is Eentohl un Mehrtohl dat sülbige. Weniger elegant kunn man anstatt Hintern ook „Ärsche“ seggen. Op Platt overs geiht dat ni. To seggen, „de dree hebbt 'n smucken Mors“, dat weer je ni korrekt. De deelt sick je ni een Mors, jedeneen hett 'n eegen‘ Mors. Wat also is de Mehrtohl vun Mors? Mörse oder Mörße? Mörser veellicht? Och nä, dat is wat anners. Un Morsen geiht ook ni, dat is dat mit kort un lang un S.O.S. un so wieder. Tscha, wat nu? Een Mors twee Achterste. Anners geiht dat erstmol ni. Overs, „de dree hebbt schmucke Achterste“, is op dat Bispeel betrocken ook keen scheune Lösung. Na jo, dat is as dat is. Overs dat gifft je noch mehr Hokens. Mennige Wöörd in't Plattdüütsche sünd gliek, liekers se wat anners meent. Wenn to'n Bispeel güstern een mit 'n Flint „schooten“ hett, denn wurr he dormit hüüt „scheeten“. Overs „scheeten“ is besünners vun de Schrievwies‘ dat Glieke as de Vergang'heitsform vun (Pardon) „schieten“. Wenn man dat dör'neen kriegt, denn kann dat op de Jagd oder bi't Militär al keddeli warrn. Overs wat dink ick mi överhaupt hitt över de Theorie? Wi snackt Platt in de Praxis – ook wenn de Sprook 'n poor Ecken un Kanten hett. Un wokeen uns dat vörsmieten will, de kann uns mol fix an Mors kleihn, annerlei, wat dat korrekt is oder ni… In düssen Sinn

Hon spelar just nu för utsålda hus i Alex Schulmans pjäs Mors dag på Dramaten, men Helena Bergström har redan ena foten i nästa projekt: Århundradets skådespelare en monolog om hennes liv i rampljuset. Lyssna på alla avsnitt i Sveriges Radios app. I mötet med Helena Bergström hör vi också om barndomsminnen från teatern, om att dejta med Strindberg och vilka som är hennes bästa och värsta stunder i karriären.Reporter: Björn Jansson.

Hur mår iskulturen? Möt Nils Håkanson som skrivit romanen Bandy Futura. Och så reder vi ut den kulturella rivaliteten med iskusinen hockey, med hjälp av Jonas Eklöf, chefredaktör för Vi Läser, med ett förflutet som hockeymålvakt i Djurgården. Lyssna på alla avsnitt i Sveriges Radios app. SÅ REAGERAR KULTURVÄRLDEN PÅ KRIGET I IRANKriget i Iran inleddes på lördagmorgonen den sista februari. Sedan dess har det såklart kommit många reaktioner från Irans kulturvärld. Både från de som lever i exil och de som är kvar i landet. P1 Kulturs Saman Bakhtiari berättar om reaktionerna från några kulturutövare som valt att uttalat sig om läget i Iran.DEN KULTURELLA RIVALITETEN MELLAN BANDY OCH HOCKEYVi värmer vi upp inför bandyfinalerna i Västerås på lördag, med hjälp av författaren Nils Håkanson som skrivit romanen ”Bandy Futura”, som undersöker spänningsfältet mellan traditioner och förnyelse, nostalgi och framtidstro. Jenny Teleman har träffat honom vid en utomhusrink i södra Stockholm. Vi reder även ut den kulturella rivaliteten med iskusinen hockey. Till vår hjälp har vi Jonas Eklöf, chefredaktör för Vi Läser, med ett förflutet som lovande hockeymålvakt i Djurgården.HELENA BERGSTRÖM GÅR FRÅN ”MORS DAG” TILL ”ÅRHUNDRADES SKÅDESPELERSKA”Hon spelar just nu för utsålda hus i Alex Schulmans pjäs ”Mors dag” på Dramaten. Trycket har varit stort och spelperioden har redan förlängts. Men Helena Bergström har redan ena foten i nästa projekt: ”Århundradets skådespelare” på Scalateatern i Stockholm - en monolog om hennes liv i rampljuset som får premiär i höst. Vår reporter Björn Jansson åkte till Scalateatern...ESSÄ: DAGS ATT GE PSYKEDELIKA TILL ÖVERKONSUMERANDE EGOISTER?Längtan efter mening är ett återkommande tema i vår samtid. Vägen dit sägs inte sällan gå via personlig utveckling. Men tänk om det är personlig AVVECKLING som är grejen. Författaren och journalisten Eva-Lotta Hultén berättar om en jag-förlust som får hela världen att lysa. Programledare: Lisa BergströmProducent: Henrik Arvidsson

Nevrotisisme er et av de fem personlighetstrekkene i fem-faktor-modellen, og beskriver en tendens til å oppleve negative følelser, emosjonell ustabilitet og psykisk ubehag. Den som skårer høyt her bekymrer seg ofte, er mer reaktive overfor stress, og har økt sårbarhet for psykiske lidelser. Kvinner er i overvekt innenfor dette personlighetstrekket.For å generalisere litt: Kvinner bekymrer seg, planlegger og organiserer veldig mye mer enn menn i en A4-familie.Marcus skårer svært dårlig på personlighetstrekket planmessighet. Han setter derfor stor pris på alt det ekstra Tora gjør for familien der han kommer til kort. Men han opplever også ofte at mange av bekymringene hennes er grunnløse.Lena og Marcus har lest en forskningsartikkel fra Sverige som viser at det intensive foreldreskapet, som vi har snakket om i episode 94, slår ut veldig forskjellig på mor og fars selvrapporterte livskvalitet.Kanskje flere ville hatt godt av å se filmen «Gi slipp» på Netflix? Det handler om et par som er helt på randen. Det er hun som må tørre å gi litt mer slipp. Tørre å ikke ha kontrollen på absolutt alt eller hvordan ting skal og må gjøres.Marcus leser Erich Fromm, «Om kjærlighet» om dagen og føler seg skikkelig inspirert. Lena får piggene ut når hun hører at Fromm mener morskjærlighet er uforbeholden, mens farskjærlighet må fortjenes. Men etter å ha hørt Marcus fortelle, synes hun det henger sammen med den artikkelen de har lest før dagens episode. Hosted on Acast. See acast.com/privacy for more information.

Welcome to Dev Game Club, where this week we comment on ten years of doing this podcast. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Note: we recorded our first podcast on Feb 26th, 2016. This episode reflects that date. At the time, we actually banked a few episodes, and decided to hold off a week to do that. We never banked an episode again :)   Issues covered: ten years of podcasting, counting series and games, what kind of gamer are you?, balance in all things, the types of games Brett went deep on, games that exemplify Tim's games, first-person shooters and third-person action adventure, earliest games we played, latest game we played, surprise moments, the butter knife returns, knucklehead stealth, crazy world-altering moments, singing reviews, our longest series, how many interviews, the backstory of Daedalus, cultural sensibility, a grotty fish stew, staying under the radar, cramming features in at the end, pitching vs shipping, how many community episodes we've had, having a community game server, the charity event, getting to understand streaming, praying at the shrine of humility, more than 500 hours of podcasts, keys that aren't keys, the team makes the game, tell them less so they can discover more, the importance of constraints, mortality, letting the player choose, how long are we going to keep this up, knowing when to end, a little thanks each way, fueling us.  Games, people, and influences mentioned or discussed: June, Infinite Backlog, The Evil Within, Resident Evil, Trespasser, Ultima (series), Souls-likes, Bloodborne, MYST (series), Obduction, Cyan, Eye of the Beholder, Might and Magic (series), Kaeon, Kingdom Hearts, Arkham Asylum (series), Halo (series), Shadow of the Colossus, Legend of Zelda (series), Portal, Deus Ex, Thief, Dishonored, Prey, Colossal Cave Adventure, Adventure, Rogue, Fez, Dwarf Fortress, Plundered Hearts, Final Fantasy Tactics, Apocalypse Now, Shenmue, Deadly Premonition, Morrowind, Hitman (series), Clint Hocking, Splinter Cell, Spelunky, Fez, Castlevania: Symphony of the Night, 2001: A Space Odyssey, Metal Gear Solid, Calamity Nolan, Final Fantasy (series), Sebastian Deken, Lani Lum, SW: Republic Commando, Tim Schafer, Dave Grossman, Tim Cain, Leonard Boyarsky, Randy Smith, Greg LoPiccolo,  Sean Vesce, Zack Norman, Janos Flosser, Sam Lake, Ken Levine, Borut Pfifer, Julian Gollop, Fallout, X-COM: Enemy Unknown, Star Wars: Starfighter, Andrew Kirmse, Daron Stinnett, Darren Johnson, Reed Knight, Kim Swift, BioStats, Minecraft, LostLake, Mors, mysterydip, Defeating Games for Charity, Video Game History Foundation, Eternal Darkness, Shigeru Miyamoto, Brad Furminger, Marcus Aurelius, "Jenny," Kirk Hamilton, Aaron Evers, Mark Garcia.  TTDS: 11:15 Next time: TBA! Twitch: timlongojr and twinsunscorp YouTube  Discord  DevGameClub@gmail.com 

Feest in Roeselare gisteren want de Belgische kampioen in het volleybal mag naar de volgende ronde in de Champions League. We spreken erover met voormalig volleybalcoach Dominique Baeyens. Maximilien Drion heeft niet voor een tweede Belgische medaille kunnen zorgen op de Olympische Winterspelen. Cocommentator Katrien Aerts zoekt met ons mee naar waar het is foutgelopen. En met drievoudig olympisch kampioene Jorien ter Mors hebben we het over het Nederlandse succes in het shorttrack.

Goud, goud, goud en goud. Xandra Velzeboer en Jens van 't Wout zijn shorttrack-sterren op deze Olympische Spelen. Allebei pakten ze al twee keer de eerste plaats. En vanavond zijn er weer medaillekansen. Dan staan de 500 meter voor de mannen, en de 3000 meter relay bij de vrouwen op het programma.  Hoe zijn Velzeboer en Van 't Wout zo goed geworden? En is Nederland nu, na al die jaren met vooral langebaan-succes, echt een shorttrack-land geworden? Vanuit Milaan vertelt Jorien ter Mors, gouden shorttrackmedaillewinnaar op de Spelen acht jaar geleden, er alles over.  Reageren: mail naar dedag@nos.nl  Presentatie en montage: Dieuwke Teertstra Redactie: Rosanne Sies 

Merchant of Record, Stripe, or your own merchant account — what's the real difference, and why does it matter?In this video, Maria breaks down the key differences between using a payment service provider like Stripe, a Merchant of Record setup, and having your own merchant account. While all three allow you to accept credit cards, they are fundamentally different in how risk, liability, control, and scalability are handled.Maria explains how each option works, when each makes sense, and why the “as long as I can accept payments” mindset often leads businesses into dead ends as they grow. From legal seller implications and account ownership to scalability, flexibility, and long-term success, this video will help you choose the right payment setup for your business — and know when it's time to make a switch.____________________________________________

Mors dag på Dramaten handlar om tre söner som kommer för att fira sin mor (Helena Bergström) utan att hon riktigt är med på noterna. Författaren Alex Schulman har skrivit och regisserat Mors dag och han är gäst hos Roger Wilson i P1 Kultur. Lyssna på alla avsnitt i Sveriges Radios app.

Möt Adam Lundgren som spelar en tyngd far i Biodlaren. P1 Kultur gästas också av Alex Schulman som regisserar Mors dag på Dramaten. Lyssna på alla avsnitt i Sveriges Radios app. När den 49:e upplagan av Göteborgs filmfestival drar igång är det med en invigningsfilm som blivit färdig först i elfte timmen. ”Biodlaren” har inte visats för någon innan festivalpubliken bänkar sig för att se dramat om en far och en dotter i värmländska Åmotsfors. P1 Kulturs Emma Engström intervjuar Adam Lundgren, som spelar en av huvudrollerna i ”Biodlaren” och som också varit med och skrivit manus till filmen. Emma Engström rapporterar också om vad besökarna mer kan se fram emot under de kommande festivaldagarna. Och vilken är sanningen bakom årets glansiga och hyperrealistiska affisch? Har den något med krisen för svensk film att göra? Intervju med konstnären Lovisa Sköld.ALEX SCHULMAN REGISSERAR MOTVILLIG MODERPå lördag är det urpremiär för ”Mors dag” på Dramaten i Stockholm. Pjäsen handlar om tre söner som kommer för att fira sin mor. Ett firande hon inte önskar sig. Och sönerna är i olika grad rädda för henne. Huvudrollen spelas av Helena Bergström. Alex Schulman har skrivit och regisserat ”Mors dag” - och är gäst i P1 Kultur.SÅ BRA ÄR SUCCÉBOKEN ”JÄVLA KARLAR” PÅ SCENAndrew Waldens Augustprisvinnande roman ”Jävla karlar” har nu blivit en monolog på Scalateatern i Stockholm. Shanti Rooney gestaltar pojken som hade sju pappor under sin uppväxt. P1 Kulturs teaterkritiker Jenny Teleman var på premiären.KARL XII:S LIKFÄRD FORTSÄTTER PROVOCERAKlassikern handlar om Gustaf Cederströms stora oljemålning Karl XII:s likfärd. Det finns två exemplar av den, en på Nationalmuseum i Stockholm och en på Göteborgs konstmuseum. Den första är från 1878. Tavlan är ett av våra främsta exempel på historiemåleri och fortsätter alltjämt fascinera och provocera. Hur har den blivit så känd? Varför finns det två? Och likfärden, var det verkligen så här den gick till? Kulturredaktionens Märta Myrstener berättar.KULTURVECKAN – VAD TAR VI MED OSS IN I HELGEN?Kulturredaktionens Jenny Teleman och Nina Asarnoj sammanfattar kulturveckan som gått tillsammans med programledaren Roger Wilson.Programledare: Roger WilsonProducent: Anna Tullberg

In this episode of Green Side Up, Jordan and Jason sit down with Scott from the Million Dollar Landscaper podcast to talk about why so many landscape and tree service companies stay busy but barely profit. Scott shares his journey from working in his dad's landscape company in Northwest Indiana to becoming Vice President, realizing the business wasn't making money, and then diving deep into budgeting, overhead, and job costing. He breaks down the differences between SORS, DORS, and MORS overhead recovery systems, explains how to find your true break-even on every job, and shows why "2x material" pricing is the lazy way that often leads to losses. Scott also discusses leaving the family business, becoming a firefighter, and now helping contractors build profitable companies through his Million Dollar Landscaper coaching and podcast. IG: Million Dollar Landscaper Connect with Jason and Jordan:

Vi går i denne episode tæt på en sag, hvor en kvinde gennem flere år slog flere af sine nyfødte børn ihjel ved at give dem sovepiller i sutteflasken. Og forsøgte at slå sine to et-årige tvillinger ihjel, inden hun blev afsløret. Hvem var kvinden, hvad drev hende og hvorfor opdagede ingen omkring hende noget, før det var for sent? Medvirkende: Retspsykiater Mette Brandt-Christensen og retspsykolog Tine Wøbbe begge fra Psykiatrisk Center Sct Hans.Vært og tilrettelægger: Journalist og forfatter Kristina Antivakis.

Den norske "papprins" Marius Borg Høiby har længe været i modvind, og stormen fortsætter i en ny bog om hans skandalesager. K-live undersøger, hvordan prinsers privilegier har rykket sig i samfundet generelt - og om det norske kongehus står et sårbart sted efter skandalerne. Vi ser også på de kinesiske homoseksuelle datingapps, der pludselig er forsvundet fra Appstore og på dokumentaren "Mors drenge", hvor instruktøren har rekonstrueret traumatiske scener for at fremkalde reaktioner. Medvirkende: Jakob Steen Olsen, kongehuskommentator ved Berlingske; Philip Khokhar, nyhedsvært og tidligere korrespondent i Asien; Bent Andersen, barndomsven med Mogens Amdi Petersen og Jesper Dalgaard, dokumentarfilmsinstruktør. Vært: Casper Dyrholm Producer: Sarah Randeris Redaktør: Lasse Lauridsen

Så har det äntligen blivit dags för Jamaica Kincaid, det är en melankolisk historia som berättas av ett till synes kallt berättarjag och Anna och Fia funderar på vems historia som faktiskt skildras, då detta kan tolkas på flera sätt. Boken kan kanske betraktas som en generisk modersskildring och till del filosofiskt betraktande av att vara kvinna på ön Dominica i karibien under tidigt 1900-tal, en ö präglad av både fransk och brittisk kolonialisering.

Glenn Bech er ikke rigtig klar over, at han har skrevet en debatbog. Og i hvert fald ikke, at den vil få så stor og voldsom opmærksomhed som 'Jeg anerkender ikke længere jeres autoritet' gør. Han tror, han bare har skrevet et lille pip, men det er et kæmpe brøl. Han kan ikke forlige sig med at skulle være en stærk stemme i debatten, men på den anden side må han også smede, mens jernet er varmt. Det er nu, han har chancen for at rykke noget. For Glenn Bech er det et grundvilkår ikke at føle sig hjemme nogen steder. Når han ser tilbage på sit liv, er han blevet gladere med alderen. Vært: Anne Sofie Kragh Klipper: Leo Peter Larsen Redaktør: Michelle Mølgaard AndersenSee omnystudio.com/listener for privacy information.

La activista Mina Morsán, quien viaja rumbo a Gaza a bordo del Shireen, una embarcación independiente que acompaña a la Global Sumud Flotilla, contó detalles de esta travesía en La W.

Scheepsbouwer IHC begaf zich de afgelopen jaren in woelige wateren. De orderportefeuille werd onvoldoende gevuld en de verliezen stapelden zich op. Inmiddels richt het bedrijf zich steeds meer op defensieorders. Is dat voldoende om weer winstgevend te worden? Derk te Bokkel, topman van scheepsbouwer Royal IHC is te gast in BNR Zakendoen. Macro met Boot Elke dag een intrigerende gedachtewisseling over de stand van de macro-economie. Op maandag en vrijdag gaat presentator Thomas van Zijl in gesprek met econoom Arnoud Boot, de rest van de week praat Van Zijl met econoom Edin Mujagić. Ook altijd terug te vinden als je een aflevering gemist hebt. Blik op de wereld Wat speelt zich vandaag af op het wereldtoneel? Het laatste nieuws uit bijvoorbeeld Oekraïne, het Midden-Oosten, de Verenigde Staten of Brussel hoor je iedere werkdag om 12.10 van onze vaste experts en eigen redacteuren en verslaggevers. Ook los te vinden als podcast. Ondernemerspanel 90 procent van de ondernemers is ontevreden over de politieke stabiliteit in Nederland, blijkt uit onderzoek van VNO-NCW en MKB-Nederland. Hoe kijk ondernemers nu naar Prinsjesdag en de Algemene Beschouwingen? En: Hennie van der Mors krijgt de financiering voor zijn pretparkdroom niet rond. Dat en meer bespreken in het ondernemerspanel met: -Elske Doets, eigenaar en directeur van Doets Reizen -Arko van Brakel voorzitter van Stichting 155 help een bedrijf. Luister l Ondernemerspanel Zakenlunch Elke dag, tijdens de lunch, geniet je mee van het laatste zakelijke nieuws, actuele informatie over de financiële markten en ander economische actualiteiten. Op een ontspannen manier word je als luisteraar bijgepraat over alles wat er speelt in de wereld van het bedrijfsleven en de beurs. En altijd terug te vinden als podcast, mocht je de lunch gemist hebben. Contact & Abonneren BNR Zakendoen zendt elke werkdag live uit van 11:00 tot 13:30 uur. Je kunt de redactie bereiken via e-mail. Abonneren op de podcast van BNR Zakendoen kan via bnr.nl/zakendoen, of via Apple Podcast en Spotify. See omnystudio.com/listener for privacy information.

Er kristendommen vigtig for dansk kultur? Er kunst og kultur åndelig oprustning? Færre danskere tror på Gud, skal regeringen og folketinget gå forrest med salmesang og bibelskole? P1Debat sender direkte fra Kulturmødet på Mors. Medvirkende: Niels Hausgaard, musiker, troubadur. Katrine Frøkjær Baunvig, leder Center for Grundtvig forskning, professor Aarhus Universitet. Jens Galschiøt, provokunstner. Mogens Jensen (S) kulturordfører. Kristian Thulesen Dahl, direktør Aalborg Port. Hans Ejner Bertelsen (V), formand Kulturmøde Mors, borgmester Morsø. Værter: Mathias Pedersen & Gitte Hansen. Producer: Siw Søby Rasmussen.

K-Live sender live fra Kulturmødet Mors, hvor vi først skal besøge en fotoudstilling, der forsøger at indkapsle hele den europæiske ånd i 27 billeder - så mange, som der er medlemslande. Vi besøger udstillingen for at spørge om, hvad vores europæiskhed egentlig er - og om den kan rummes i 27 portrætfotografier. Medvirkende: Martin Thaulow, fotograf; Ann Lind Andersen, filmanmelder; Rebecca Bach-Lauritsen, børnebogsforfatter. Vært: Morten Runge Producer: Anna Correll Redaktør: Lasse Lauriden

Åndelig oprustning er at vælge Danmark og Europa til. Det sagde Mette Frederiksen, da hun åbnede Kulturmødet Mors. Vi dykker helt ned i fænomenet "åndelig oprustning" - for hvad er det, og hvad bør det være? Vi spørger to paneler om, hvad vi skal bruge kunsten til i en krisetid - og om politikerne instrumentaliserer kunsten. Medvirkende: Christina Rosendal, filminstruktør; Simone Aaberg Kærn, billedkunstner; Astrid La Cour, direktør Statens Museum for Kunst; Hassan Preisler, radiovært og forfatter & Lisbeth Valgreen, cand. mag i arktiske studier. Vært: Morten Runge Producer: Anna Correll Redaktør: Lasse Lauridsen

In the mid-1440s, Frederick III the King of Germany and Duke Philip the Good entered into negotiations over the prospect of giving the Duke a crown. While Frederick pictured simply elevating one of Philip's territories from Duchy to Kingdom, the Duke of Burgundy was more ambitious and attempted to resurrect the old Frankish Kingdom of Lotharingia.Time Period Covered: 1440-1457Notable People: Philip the Good, Frederick III, Duke Adolph IV of Cleves, Duke John I of Cleves, Adolph of Cleves Lord of Ravenstein, Count Freidrich IV of Mors, Dietrich of Mors Archbishop of Cologne, Arnold of Egmond Duke of Guelders, Duke Adolph of Julich-Berg, Duke Gerhard of Julich-Berg, Rene of Anjou, Antoine Count of Vaudemont, Ferry of Vaudemont, Charles VII of France, Louis XI of FranceNotable Events/Developments: Soest Feud, Münster Diocesan Feud, Battle of Saint Hubert's Day, Siege of Metz (1444)

Send us a textJon tours the quickly dwindling food stores of the Night's Watch and then is summoned by King Stannis. The king offers Jon a surprising gift, then adds to the shock by revealing his risky plan to win the north. Jon redirects him to a new plan that is safer and has huge upsides. Mackelly and Simon fear that Stannis is not earning their loyalty.Chapter Review:Jon Snow joins Bowen Marsh to inspect winter food stores held beneath Castle Black. Despite past generosity from lords and a long summer, feeding Stannis' army and wildlings has depleted supplies. Marsh proposes winter rations early. Jon agrees, knowing it'll cause unrest.Jon later meets Stannis, Melisandre, and others in the king's solar. Stannis gifts Jon a controlled Rattleshirt as a soldier. Discussion turns to Mors Umber's terms for support. Stannis hesitates, but Jon urges acceptance, warning that rejecting Mors' terms would turn the North against him. Stannis reveals plans to take the Dreadfort, but Jon argues the Boltons will return too soon and crush Stannis' force. Pressed to arm wildlings, Jon reluctantly offers basic gear, wary of violating the Night's Watch vows. Privately, Stannis tempts Jon again with legitimization and Winterfell. Jon refuses but proposes recruiting Northern mountain clans instead. If successful, Stannis could retake Deepwood Motte and build support. Stannis likes the plan—but Jon's left with more mouths to feed.Characters/Places/Names/Events:Jon Snow - Bastard son of Ned Stark. Member of the Night's Watch.Stannis Baratheon - Surviving brother of dead King Robert Baratheon, claims the Iron Throne because Cersei's children are not Robert's.Melisandre - The Red Woman of Ashaii. Priestess of R'Hellor, the Lord of Light.Bowen Marsh - Lord Steward of Castle Black.Castle Black - Headquarters of the Night's Watch.Rattleshirt - Wildling leader who is despised  by the Night's Watch.Mors Umber - Co-castellan of Last Hearth, with his brother Hother. Support the showSupport us: Buy us a Cup of Arbor Gold, or become a sustainer and receive cool perks Donate to our cause Use our exclusive URL for a free 30-day trial of Audible Buy or gift Marriott Bonvoy points through our affiliate link Rate and review us at Apple Podcasts, Spotify, podchaser.com, and elsewhere.Find us on social media: Discord Twitter @GhostsHarrenhal Facebook Instagram YouTube All Music credits to Ross Bugden:INSTAGRAM! : https://instagram.com/rossbugden/ (rossbugden) TWITTER! : https://twitter.com/RossBugden (@rossbugden) YOUTUBE! : https://www.youtube.com/watch?v=kthxycmF25M

Tenåringen har "plutselig fått angst for helse, for å reise med buss, for å være med på venninnekvelder som hun egentlig likte, for å være med folk hjem, redd for å kaste opp, snevring i halsen, kvalm, uvel, ikke få luft, høy puls..." Hvordan kan moren ta vare på både henne og seg selv mest mulig?

durée : 00:16:46 - Les Nuits de France Culture - par : Albane Penaranda - Episode 9/9 - Dans "Le Livre de chevet", en 1967, le philosophe Vladimir Jankélévitch choisit de lire et de présenter la nouvelle "Les Sept Pendus" de Leonid Andreïev, publiée en 1908. Une terrible immersion dans l'esprit de sept condamnés à mort. - réalisation : Antoine Larcher - invités : Vladimir Jankélévitch Philosophe (1903-1985)

Welcome to Dev Game Club, where this week we continue our series on 2012's Fez, looking at coming back to a puzzle game and perception in its many forms, among other topics. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Sections played: More cubes! Issues covered: video game development ephemera, coming back to a puzzle game, not enjoying the map but maybe you should be, a text adventure map, secret doors, retraining your brain, key ordering, not knowing if you should walk away from puzzles, developing trust with the game, being motivated to solve every puzzle, when do you walk away, planning for the player to get stuck, adventure game slop, getting stuck in a more linear game, putting in scaled difficulty, getting to a point where you're stuck everywhere, different types of puzzling in the game, the steps of a particular puzzle, a meta discussion, a game about perspectives where the activity is manipulating perspectives, being proud of being in games, recontextualizing your perception, having to retrain your brain, overestablishment of genre, having confidence, working on top of a common language, recognizing that you have the tool, mechanics in a neighborhood, experimenting when you've been away, being able to innovate in more major ways, achievements/trophy hunting, being lost in the realm, Turing-complete redstone. Games, people, and influences mentioned or discussed: Sean Vesce, Zack Norman, Interstate '76, VGHF, LucasArts, Space Quest, The Witness, Blue Prince, MYST, Tomb Raider, Zelda, The Fool's Errand, Metroid (series), Hollow Knight, Kingdom Hearts (series), MegaMan (series), Mario (series), Colin from PA, PlayStation/Xbox/Steam, Minecraft, LostLake, Mors, Kaeon, Bvron, Kirk Hamilton, Aaron Evers, Mark Garcia.  Notes: Brett referred to Fez's year as 2013 or 2014, but clearly it was 2012. Whoops. Next time: Finish(?) the game? Twitch Discord DevGameClub@gmail.com

Hör hela inne i värmen och lär dig allt om hur Mors dag kom till. underproduktion.se/dellamonde

In this doctrinally rich session, Dr. Samuel Renihan explains how the Father, Son, and Holy Spirit are truly distinct yet fully and equally God. Using a "5–4–3–2–1" framework, he explores eternal relations and personal properties: five notions, four relations, three properties, two processions, and one divine essence. This session clarifies how classical Trinitarian theology avoids both tritheism and modalism. Rather than being distinguished by role or rank, each person is identified by eternal origin—such as the Father's begetting of the Son and the Spirit's procession. Dr. Renihan carefully guides listeners through the biblical foundations and confessional categories that safeguard orthodoxy. While the content is technical, it is deeply important for anyone seeking to understand and articulate the mystery and majesty of the Triune God. Key Scriptures: John 15:26; Psalm 2:7; Matthew 3:16–17 Speaker Bio: Dr. Samuel Renihan is pastor of Trinity Reformed Baptist Church in La Mirada, California. He holds an MDiv from Westminster Seminary California and a PhD from the Free University of Amsterdam. He is the author of The Mystery of Christ, Deity and Decree, and Crux, Mors, Inferi. About the Conference: Confessing the Faith promotes reverent teaching on the doctrine of God as expressed in the 1689 Second London Baptist Confession. Each year focuses on one chapter of the confession. Upcoming: Join us in April 2026 for Chapter 3 – Of God's Decree Details and registration: www.confessingthefaith.ca

Dr. Samuel Renihan presents a clear, biblical, and confessional overview of the doctrine of the Trinity—one God in three eternal subsistences: Father, Son, and Holy Spirit. He explains how the Second London Confession reflects both the unity and the distinctions within the Godhead, and why these distinctions are based on eternal relations of origin, not merely role or function. This session helps guard against errors such as tritheism or modalism, and instead reinforces historic orthodoxy. Listeners will come away with a better grasp of the biblical basis for the Trinity and why it matters for worship, salvation, and spiritual life. Key Scriptures: Matthew 28:19; John 1:1–3; 2 Corinthians 13:14 Speaker Bio: Dr. Samuel Renihan is pastor of Trinity Reformed Baptist Church in La Mirada, California. He holds an MDiv from Westminster Seminary California and a PhD from the Free University of Amsterdam. He is the author of The Mystery of Christ, Deity and Decree, and Crux, Mors, Inferi. About the Conference: Confessing the Faith promotes reverent teaching on the doctrine of God as expressed in the 1689 Second London Baptist Confession. Each year focuses on one chapter of the confession. Upcoming: Join us in April 2026 for Chapter 3 – Of God's Decree Details and registration: www.confessingthefaith.ca

In this opening message of the Confessing the Faith 2025 Conference, Dr. Samuel Renihan sets the theological foundation by introducing the doctrine of classical theism and its connection to confessional unity. Drawing from the Second London Baptist Confession of Faith (1689), he shows how the historic church has confessed the nature of God with precision, humility, and care. Dr. Renihan challenges the church today to recover this clarity—rejecting novelty in our language about God and holding fast to the "pattern of sound words" that promotes lasting unity across generations and denominations. This session also lays out the broader purpose of the conference: equipping believers to joyfully confess the doctrine of God as revealed in Scripture and summarized in our confessional heritage. Key Scriptures: Jeremiah 31:34 – "They shall all know Me…" 2 Timothy 1:13–14 – "Hold fast the pattern of sound words…" Hebrews 13:7–9 – "Remember those… who have spoken the word of God to you…" Speaker Bio: Dr. Samuel Renihan is pastor of Trinity Reformed Baptist Church in La Mirada, California. He holds an MDiv from Westminster Seminary California and a PhD from the Free University of Amsterdam. He is the author of The Mystery of Christ, Deity and Decree, and Crux, Mors, Inferi. About the Conference: Confessing the Faith promotes reverent teaching on the doctrine of God as expressed in the 1689 Confession. Each year focuses on one chapter. Upcoming: Join us in April 2026 for Chapter 3 – Of God's Decree Details and registration: www.confessingthefaith.ca

Today we have an uninterrupted episode that includes the 5 Stages of Growth, Analysis of MORS and Overhead Recovery Systems, and How to to Build a High Performance Team with Jim Huston.www.jrhuston.biz

Welcome to Dev Game Club, where this week we sadly conclude our series on Interstate '76. Poor Tim could not really play the game at all, so we're going to have to let this one go, but we'll still talk about a few things. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Sections played: Up to Mission 10 (B) Issues covered: Tim being unable to get the game running, other cultural objects disappearing, physics implementation details from an implementer!, PC compatibility testing, running down bugs even today, flight stick vs controller, acceleration and turning, independent throttle, analog triggers on modern controllers, easy difficulty, getting a lot out of a few cars, making cars seem smarter, lack of uncanny valley, feeling a whole story in a mission, level design vs mission design, repetitive missions in other games, rewarding you with movies, impersonating a President, committing to a stylistic identity, standing out from the crowd, leveraging an IP shift, moving around between teams, the other game made with the same fiction, working remotely in the games industry, fear and trust. Games, people, and influences mentioned or discussed: Nosferatu, Moby Dick, Typee, Omoo, Emily Dickinson, Hailee Steinfeld, True Grit, Phil Salvatore, Carlos, Julio Jerez, Daniel Stanfield, Starfighter (series), Quake, Tomb Raider, Ultima Underworld, Trespasser, TIE Fighter, Wing Commander (series), George H. W. Bush, FASA, Duke Nukem, Blood, Shadow Warrior, Gladius, Final Fantasy Tactics, Red Rock, Sam and Max, Republic Commando, Rebel Assault, Mortimer and the Riddles of the Medallion, Wes, Twisted Metal, Luxoflux, Vigilante 8, Star Wars: Demolition, SNES, Zombies Ate My Neighbors, Super Star Wars, Big Sky Trooper, Activision, Nintendo 64, Game Boy Color, Dave K, Grand Designs, Bethesda Game Studios, Microsoft, Kingdoms of Amalur, .38 Studios, LostLake, Mors_d, Minecraft, Kirk Hamilton, Aaron Evers, Mark Garcia. Next time: TBA Twitch Discord DevGameClub@gmail.com

Welcome to Dev Game Club, where this week we begin a new series on 1997's Interstate '76. We set the game a bit in its time, talk about Activision (almost as an afterthought), and then start getting into the characters and the vibe, of which there is much. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Sections played: Early mission or two Issues covered: a game time forgot, playing a sim game genre, a unique take on the sim genre plus car combat, prepping the sim elements vs the actual play, other games from that year, taking a formula and doing something different with it, modern exploitation-inspired games, exploitation cinema, grindhouse, other potential influences and inspirations, why you pick sparse environments, breakable cacti, a huge variety of games, low-cost film-making and democratization, vigilantes, a bland corporation, text adventures, a business and not a game company, seeing the impact of acquisition or mergers, character introductions, fake actors playing characters, character names, Groove Champion vs Stiletto Anyway, stylized and simplified characters, flat shading and seeing every polygon, connecting to the character in the cockpit and via the radio, naturally cinematic, stylized presence, jitteriness and physics, compounding errors, deterministic physics, preserving this game and finding ways to play it, just shipping a game, dealing with a controller vs keyboard.    Games, people, and influences mentioned or discussed: TIE Fighter (series), Starfighter, MechWarrior (series), Voltron, Diablo, Resident Evil, The Last Express, Fallout, GoldenEye, Castlevania: SotN, Age of Empires, Outlaws, Curse of Monkey Island, Dark Forces 2, Shadows of the Empire, Wing Commander: Prophecy, Final Fantasy VII, Mario Kart 64, Gran Turismo, PlayStation, Dark Forces, Final Fantasy Tactics, Wet, Kane and Lynch, Suda 51, Grasshopper Interactive, Killer 7, Death Race 2000, Russ Meyers, Death Proof, Mad Max (series), MegaMan 8, Kaeon, Cleopatra Jones, Enter the Dragon, Jim Kelly, Bruce Lee, Game of Death, Quentin Tarantino, Kill Bill, Fist of Fury, Starsky and Hutch, River Raid, Pitfall, David Crane, Atari, Call of Duty, Guitar Hero, Capcom, Blizzard, id Software, Interplay, Infocom, Zork (series), Witness, Enchanter (series), Ballyhoo, Lurking Horror, Electronic Arts, Bobby Kotick, Nintendo, BattleZone, Pac-Man, Jason Schreier, Play Nice: The Rise and Fall of Blizzard Entertainment, Hearthstone, Marvel Snap, Ultima (series), Bioware, Treyarch, Raven Software, Heretic/Hexen, Quake, Battletech/FASA Entertainment, Anachronox, Pam Grier, Chuck Norris, Dungeon Keeper, Half-Life 2, Indiana Jones and the Internal Machine, Video Game History Foundation, Star Wars: Episode I: Racer, Forza (series), Falcon (series), Dark Souls, Minecraft, LostLake86, Mors, Kirk Hamilton, Aaron Evers, Mark Garcia.   Errata: Lost Treasures of Infocom actually originally came out in 1991. We regret the error.  Next time: More I'76! Twitch Discord DevGameClub@gmail.com

Welcome to Dev Game Club, where this week we conclude our series on Minecraft. We talk about our stories, multiplayer, and other topics, before turning to our takeaways. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Sections played: A few more hours of Minecraft Issues covered: the upcoming charity event, Tim not knowing where Site D is, milestones for Tim, an epic story of loss with Mors, having high stakes and risk, Brett makes a long deep dive into an enormous open cavern, the procedural elements of exploration, connected caverns, Lost Lake's skill and visiting his place, the causeway that takes you to Lost Lake, automating systems, never finding an emerald, ad campaigns from the 1950s, a game developer muses about his existence in the universe, terrain modeling and erosion, not being able to tell that something wasn't hand-modeled, changes in the algorithm over time, getting lost in narrow caverns, simple goals that are obvious needs for survival, the excellence of the second-to-second loop of mining and picking up, height modeling for terrain with height maps vs voxels, player goals and having the ability to make them as specific as you want, leaving off the limits in a block game, trading verisimilitude for expressivity, allowing the player to impact everything, simple creativity, continuing the server. Games, people, and influences mentioned or discussed: Lost Lake, Trespasser, Phil Salvador, Video Game History Foundation,  mors_d, Buck Rogers, Disneyland, Star Trek, Burma Shave, Mad Men, Dwight Eisenhower, Fallout 3, Skyrim, Oblivion, mysterydip, Valheim, Lego, Ravenloft, Picross, Terraria, Final Fantasy VI, Kirk Hamilton, Aaron Evers, Mark Garcia.  Next time: End of year review! Links: Defeating Games for Charity Video Game History Foundation Interview with Phil Salvador  Twitch: timlongojr Discord DevGameClub@gmail.com