Podcast appearances and mentions of William Gibson

Dale bought Crocs. Flies are satanic. Vancouver had a big protest against Data Centres. Hoot Suite. William Gibson. Dale has a baby brain. Where is our dark version of Star Trek. The Data Centres being planned for Vancouver are going to be a power drain. We all need to get together. Transhumanism. We're no longer calling it Conspiracy we're now calling them Parahistory. Danielle Smith's petition for a referendum on seperation got thrown out.Find us:Web outragefactory.comYoutube https://youtu.be/70OPCfw37DsTwitter @OutrageFactPodInsta @outrage_factoryTik Tok @dalederuiterFacebook www.facebook.com/outragefactpodReddit r/OutragefactorypodEmail Outragefactpod@gmail.comCheck out our redbubble swag https://www.redbubble.com/shop/ap/115481124

I episode to i vår podkasten skal det snakkes om sci-fi og fantasy, sjangre som kanskje mange synes kan virke litt skumle å navigere selv i. Da passer det fint at Caroline og Emelin skal snakke bøkene "The Cat who saved books" av Sosuke Natsukawa og "Nevromantiker" av William Gibson. God lytting!Om podkasten:Har du noen gang sagt «bare én side til» – og plutselig lest et helt kapittel ekstra? I Bare EN side til! snakker vi om bøker som er så spennende, rørende eller tankevekkende at det er umulig å legge dem fra seg. I hver episode dykker vi ned i en bok, deler leseopplevelser, diskuterer karakterer, temaer og øyeblikkene som gjorde at vi bare måtte lese litt til. Enten du er en ivrig bokelsker, på jakt etter din neste leseopplevelse, ller bare liker gode samtaler om litteratur, er denne podkasten for deg.

“If you write something you think is really fanciful today, tomorrow's news headlines might be telling the exact same story. That's the challenge of writing realism today — when everything feels so sci-fi and so dystopic.” — Fred Lunzer Boy meets girl meets AI therapist. That is the premise of Sike, the debut novel by Fred Lunzer. Adrian is a rap ghostwriter who has never met any of the rappers he writes for. After a relationship collapse, he signs up for Sike — a Facebook-style AI psychotherapy app that tracks your every move and emotion via smart glasses and guides you toward mental contentment. He meets Maquie, a venture capitalist and Sike refusnik. You can imagine the rest. Sike is a self-consciously “realist” love story set in a world where AI therapy is ubiquitous. Lunzer wanted to write AI fiction that is realistic rather than dystopian or utopian. He started it speculatively. By the time he'd finished, ChatGPT had launched and what he'd once fancifully imagined had become reality. It's the futuristic writer's permanent predicament. Make the future believable before it becomes so familiar that we barely notice it. Turn science fiction into social realism. Five Takeaways •       AI Fiction Without Dystopia: The Gap Lunzer Is Filling: Almost all AI fiction is either utopian or dystopian. James Bond loves gadgets. Most literary fiction treats technology as vaguely grubby and pushes it into genre. Lunzer's ambition: find the realism. Write about a world where AI is already everywhere, the initial fears are already past, and we've reached the same ambivalent relationship with it that we have with our smartphones. We don't know what model we have. We barely think about it. That's where the interesting questions live. •       Reality Caught Up Before He Finished: Lunzer wrote Sike speculatively. By the time he finished, ChatGPT had launched. William Gibson's observation: the future is already here, just unevenly distributed. His corollary: if you write something fanciful today, it's tomorrow's news story. Lunzer's solution to this perpetual problem is to stop writing near-future speculation and instead set the story in a world where the technology is already past its introduction — where the hype is over and the real reckoning begins. •       Realism Is the Hardest Genre Right Now: Andrew's observation: the best AI fiction is realist. Ishiguro's Klara and the Sun treats unimaginable things as taken for granted. That's the technique. Lunzer agrees — and notes that realism is particularly hard to write now because everything already feels surreal. Trump, AI, the state of the world: if you'd described any of it thirty years ago, people would have called it fiction. The challenge of the realist novelist in 2026 is to find the quiet normality inside the chaos. •       Non-Polarising AI Fiction: Lunzer deliberately avoided writing a book that slams Meta, or that is obviously pro- or anti-AI. He calls it non-polarised. In Sike, some characters love the AI therapy app, some refuse to use it. No one is obviously right. The book's thesis — insofar as it has one — is that the interesting questions about AI are not the ones about whether it's good or bad, but the ones that arise once you've stopped arguing about that and started living with it. •       The Economics of Writing: Trenches, Not Glamour: Lunzer has a day job — AI researcher at Sony. Sike was his first published novel, not his first written. Before it: a travel narrative about the Japanese restaurant industry that went nowhere, and a novel about a global pandemic finished in early 2020 and overtaken by COVID before any publisher would touch it. His verdict on the publishing world: not glamorous. A lot of books. A lot of writers. Not much money except for a few. He got an advance. Most debut novelists don't earn it back. The lesson he draws from Norman Mailer: writing a good novel is like learning to play the piano well. It just takes time. About the Guest Fred Lunzer is an AI researcher at Sony and the author of Sike: A Novel (Celadon Books, 2024; paperback 2026). He was born in London and lives in West Sussex, England. References: •       Sike: A Novel by Fred Lunzer (Celadon Books, 2024; paperback 2026). •       Kazuo Ishiguro, Klara and the Sun — the key comparison text referenced in the interview. •       William Gibson — two quotes referenced: “The future is already here, just unevenly distributed”; and the observation about reality catching up with fiction. About Keen On America Nobody asks more awkward questions than the Anglo-American writer and filmmaker Andrew Keen. In Keen On America, Andrew brings his pointed Transatlantic wit to making sense of the United States — hosting daily interviews about the history and future of this now venerable Republic. With nearly 2,900 episodes since the show launched on TechCrunch in 2010, Keen On America is the most prolific intellectual interview show in the history of podcasting. WebsiteSubstackYouTubeApple PodcastsSpotify Chapters: 

This month, Cody, Robert, and Nat jack into the futuristic world of 2021 and the cyberpunk ideas of William Gibson with 1995's JOHNNY MNEMONIC. Time tracks: 0:00:00 - JOHNNY MNEMONIC Discussion 1:18:45- Next Movie and Outro

Johnny Mnemonic is a cyberpunk short story published in 1981 by William Gibson.  Johnny Mnemonic is also a cyberpunk movie from 1995 starring Keanu Reeves and Dina Meyer, directed by Robert Longo with a screenplay by William Gibson.  And this week, we talk about both Johnny Mnemonics! We are very technical boys.      One Things Jon: The Parker novels by Donald E. Westlake Josh: The Blade Itself, by Joe Abercrombie Luke: Rambo - First Blood and Rambo - First Blood Part 2   Questions? Comments? Curses? Call us at (859) 429-CROM! Did you know that we're on Facebook? We're posting photos on the Instagrams! Or, check us out on Apple Podcasts! (or your podcast player of choice!) Legal Mumbo-Jumbo Our episode is freely available on archive.org and is licensed under Creative Commons: By Attribution 3.0. http://creativecommons.org/licenses/by/3.0/ 'Tyrant' theme by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0. Outro: 'Black' by Sevendust. Music obtained legally; we hope our discussion of this content makes you want to go out and purchase the work! 

Summer Reading on AI + Robots Are Here: Mythos, API Key Nightmares, and Recursive Self‑Improvement Link to our Discord  https://discord.com/channels/1318972439853666455/1320434204877656194   Marcel's videos from this episode: Unitree GD01 for John who wants one: https://www.youtube.com/watch?v=oWOyUMJWptc Figure 03 package sorting livestream: https://www.youtube.com/watch?v=luU57hMhkak Figure 03 tidies up a room:  https://www.youtube.com/watch?v=8xEuFQz4E4A   The hosts of Project Synapse open with banter about Canada's "two-four" May long weekend, then share summer reading recommendations:  Jim' recommendations: - William Gibson's Idoru (and Neuromancer),  - Robert J. Sawyer's Neanderthal Parallax trilogy, 10,000 Brains,  - Eliezer Yudkowsky's If Anyone Builds It, Everyone Dies,  - Jim Love's  ELISA,  Marcel Recommended   -Iain M. Banks Culture series (including The Use of Weapons),  and Jonh's list including  - Co-Intelligence,  - Apple in China,  - Scary Smart,  - Thinking Fast and Slow, and  - Source Code.  They discuss odd ChatGPT "goblin" guardrails and conversation lock-ins, debate hype and impact around Anthropic's Mythos and related bug-finding/AI-assisted attacks, warn about stolen API keys causing massive Google Gemini charges despite spending caps being raised, and cover experiments prompting "Marxist" AI outputs. They highlight rapid humanoid/industrial robot progress (Unitree's mech, Figure 03 livestream package-sorting, Hyundai/Boston Dynamics robots), normalization of robots, security risks from default passwords and botnets, and growing concern over recursive self-improvement and real-time learning loops (including Claude "Dreaming"), urging viewers to share robot sightings and book picks via Discord. 00:00 Weekend Show Kickoff 01:07 Two Four Weekend Explained 01:57 Jim Summer Reading Picks 06:19 Marcel Culture Series Deep Dive 11:23 Jon Summer Reading List 12:42 Lightning Round Goblins Glitches 14:20 Mythos AI Security Breakthroughs 21:55 Stolen API Keys Big Bills 25:46 Marxist AI Pop Culture Traps 28:27 Giant Mech Robot Reveal 30:52 Figure Robot Livestream 32:28 Chat Reactions and Mistakes 34:35 Hyundai Boston Dynamics Boom 37:22 Robot Economics and Pricing 39:26 Service and Memory Swap 42:59 Helix 2 Bedroom Demo 45:00 Robot Privacy and Security 48:23 Updates Big Tech and Government 51:52 Recursive Self Improvement Risks 01:01:08 Summer Homework and Sign Off

Episode #581! Uri Tupka and the Gods, Neuromancer and Donald Duck! This week Scott talks about the William Gibson award-winning novel, Neuromancer. DL brings the newest book written and drawn by Mike Mignola to the table. Uri Tupka and the Gods (vol. 1) is another tale from Mignola's Lands Unknown.  Also this episode DL has Carl Barks library vol. 7 Lost in the Andes from Fantagraphics. Check it out!  

Fredrik chats to Holly Cummins about using Minecraft for observability, other amazing Quarkus tricks, and the value of joy at work. Recorded during Øredev 2025. Thank you Cloudnet for sponsoring our VPS! Comments, questions or tips? We a re @kodsnack, @tobiashieta, @oferlund and @bjoreman on Twitter, have a page on Facebook and can be emailed at info@kodsnack.se if you want to write longer. We read everything we receive. If you enjoy Kodsnack we would love a review in iTunes! You can also support the podcast by buying us a coffee (or two!) through Ko-fi. Links Holly Holly’s presentation - Five (and a half) things you can do with Quarkus Quarkus Graalvm Picocli AWT WASM Chicory - WASM runtime for the JVM Microcks - contract testing framework in Java APICurio Dev services SQLite in WASM Hibernate Reasteasy Vert.x - “reactive applications on the JVM” Holly’s Minecraft extension for Quarkus Support us on Ko-fi! Langchain4j Grafana William Gibson Backpressure Simon Wardley and his keynote on mapping Minecraft demo to explain Kubernetes concepts, by Sebastien Blanc Holly’s talk about developer joy The fun topic on hollycummins.com Titles All in one room When you say Quarkus Really amazing throughput The way that conferences work Other people have done all the work It unlocks a whole lot of possibilities Slightly more tortured Javascripv via WASM on the JVM The absence of configuration Unless you work for a bank That zero friction All of that dynamism The reading of the configuration Deep introspection of the application Six demos in 40 minutes The useful extensions had been written The chicken would explode Novel way of understanding the application Manually implement the backpressure Zoo of types The containers were chickens Joy and productivity The happy piglets You are a profitalbe piglet The mandatory fun officer I now have the language On team cloud

Craig Newmark's career, in retrospect, looks like a series of deliberate subtractions: he kept Craigslist plain, stepped aside as CEO early on, gave his equity to his foundation, and now funds people and gets out of their way. His theory, arrived at gradually, is that recognizing your limitations and relying on your network is how you get more done. Tyler and Craig discuss why webpage design has gotten worse for 30 years, what Craig's "obsessive customer service disorder" taught him about human nature, why trusting people and maintaining a nine-second rule for scams aren't as contradictory as they sound, why roommate ads are a better way to find love, why Craigslist never added seller evaluations, why Leonard Cohen speaks to him more than Bob Dylan, what William Gibson's Neuromancer got right about the internet, why Jackson Lamb is now one of his role models, why large foundations lose accountability, what two painful Ivy League grants taught him philanthropy, what he gets from rescuing pigeons, the hard lesson he learned about confronting people who lie for a living, his favorite TV shows and movies, the one genuine luxury he can't go without, what he still needs to learn, and much more. Read a full transcript enhanced with helpful links, or watch the full video on the new dedicated Conversations with Tyler channel. Recorded April 14th, 2026. Other ways to connect Follow us on X and Instagram Follow Tyler on X Follow Craig on X Sign up for our newsletter Join our Discord Email us: cowenconvos@mercatus.gmu.edu Learn more about Conversations with Tyler and other Mercatus Center podcasts here. Timestamps: 00:00:00 - Intro 00:02:41 - Stepping Aside as CEO 00:04:20 - Customer Service and Social Skills 00:16:27 - Restaurants 00:18:06 - Music 00:19:27 - Science Fiction 00:20:14 - TV Shows 00:26:03 - Philanthropy 00:30:20 - Journalism 00:31:55 - Pigeons 00:32:50 - Entrepreneurship 00:35:09 - Craig's Personal Philosophy 00:37:37 - Major Regrets 00:39:17 - Audience Q&A 00:46:23 - Outro

In this episode of High Theory, Kim talks to Ben Mangrum about Generic. A curious term that denotes both the conventions and rules of genre, and the impersonal or nameless quality of things like generic drugs or generic devices; the generic structures many of our cultural codes. Ben uses both senses to talk about the history of computing. He tells us about the surprising role the genre of comedy has played in our interactions with computers. Ben suggested that we reference Spike Jones's 2010 short film I'm Here as an example of computational comedy. In the episode Ben references Aziz Ansari and Eric Klinenberg's Modern Romance (Penguin Books 2016), a book of comedy and social critique about online dating, as well as classics like Agatha Christie's Muder on the Orient Express (Collins Crime Club 1934), William Gibson's Neuromancer (Ace Books 1984), and the film You've Got Mail (1998). He also talks about David Schumway's writing on screwball comedies, “Screwball Comedies: Constructing Romance, Mystifying Marriage” in Cinema Journal 30 no. 4 (Summer 1991): 7-23, doi: 0.2307/1224884, and Lauren Berlant's on genre, “Genre Flailing” in Capacious: Journal for Emerging Affect Inquiry 1 no. 2 (2018). If you want to learn more, check out Ben's book, The Comedy of Computation: Or, How I Learned to Stop Worrying and Love Obsolescence (Stanford 2025). In this cultural history of the computer, Ben shows that comedy has been central to how we've made sense of the technology's sweeping effects on public life and private experience. From the first Broadway play to include a computer in the 1950s to popular films and joke-telling digital assistants, many have used comedy to make the computer seem ordinary. Others have tried to stage the assimilation of computers within corporate life as a kind of comic drama. Mangrum describes these and many other ways in which comedy and computation have come together as a new genre of experience: the comedy of computation. Ben Mangrum works as an Associate Professor of Literature at the Massachusetts Institute of Technology. His research examines topics ranging from the environmental humanities to twentieth-century “world literature” and the history of ideas and media underlying contemporary methods in the digital humanities. His first book, Land of Tomorrow: Postwar Fiction and the Crisis of American Liberalism, was published in 2019 by Oxford University Press. The transcript of this episode lives here as a WordDoc and here as a PDF. The image for this episode shows a happy computer, drawn in a few pixels on a blue background. It was made for High Theory by Lili Epstein. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

The pleasures and perils of nostalgia & reference, the importance of identifying real play versus gamified labor, and whether the internet used to be fun: Matthew Leggat of the Utopian & Dystopian Fictions podcast joins to discuss Ernest Cline’s Ready Player One. Podcasts, reviews, interviews, essays, and more at the Ancillary Review of Books. Please consider supporting ARB’s Patreon! Guest: Matthew Leggatt Title: Ready Player One by Ernie Cline Host:Jake Casella Brookins Music byGiselle Gabrielle Garcia Artwork byRob Patterson Opening poem by Bhartṛhari, translated by John Brough References: ARB’s Fundraiser!!! Matthew’s Cultural and Political Nostalgia in the Age of Terror, Play in Utopian and Dystopian Fiction, and Wastelands and Wonderlands The Utopian & Dystopian Fictions podcast I Who Have Never Known Men by Jacqueline Harpman Chicano Frankenstein by Daniel A. Olivas U&DF episode with Olivas Neal Stephenson’s Snow Crash & Reamde William Gibson’s Neuromancer K.A. Teryna’s Black Hole Heart translated by Alex Shvartsman Nana Kwame Adjei-Brenya’s Chain Gang All-Stars Was It Yesterday: Nostalgia in Contemporary Film and Television edited by Matthew Dan Brown’s The Da Vinci Code Gamergate “Playing the Game of Literature: Ready Player One, the Ludic Novel, and the Geeky ‘Canon’ of White Masculinity” by Megan Amber Condis Captain Crunch: phreaker John Draper Kyle Chayka’s "Why the internet isn't fun anymore" William Gibson’s “The Gernsback Continuum” Ling Ma's Severance Helen MacDonald & Syn Blaché’s Prophet MacDonald’s H is for Hawk Stanislaw Lem's Solaris Alice Landsberg's Prosthetic Memory: The Transformation of American Remembrance in the Age of Mass Culture The television series Stranger Things Mark Fisher's Ghosts of My Life Richard Fleischer’s Soylent Green (based on Harrison’s Make Room! Make Room!) & Paul R. Ehrlich’s The Population Bomb Samuel Butler’s Erewhon B.F. Skinner’s Walden Two Voight-Kampf Test from Ridley Scott’s Bladerunner / Philip K. Dick’s Do Androids Dream of Electric Sheep? The "lusory attitude" from Bernard Suits' The Grasshopper: Games, Life and Utopia Ernst Callenbach's Ecotopia Philip Nel’s “I Love the ‘80s: Dystopia, Nostalgia, and Ready Player One” Michael Jackson 372 Pages We'll Never Get Back (That's Mike Nelson of MST3K Fame) High Fidelity by Nick Hornby Jordan Carroll's Speculative Whiteness Paul Hardisty'sForcing trilogy

Donde de comenta "Agency" de William Gibson, una historia de viajes en el tiempo e intrigas políticas en varios futuros posibles. Un follón, pero muy divertido de contar.

Send us Fan MailThis week Bread and Rosaries takes a trip to Scotland to chat with student minister and PhD candidate, William Gibson, about Red Clydeside: the strikes, rent protests, anti-war organising, and radical politics of Glasgow in the early twentieth century. We also look at the Church of Scotland's uneasy relationship with working-class struggle, social reconstruction, and capitalism itself, including why so much of the church's witness seemed to drift away from the politics of justice it once claimed to care about. Along the way, Adam reflects on the life and death of anarchist YPJ volunteer, Anna Campbell, and William introduces us to socialist and peace activist Helen Crawfurd for Saint of the Week.More on Red Clydeside from the University of StrathclydeWilliam Gibson's linksSupport the showEverything Bread and Rosaries does will be free for everyone forever, but it does cost money to produce so if you wish to support the show on Patreon, we'd love you forever!Music credits at this link

Patricia Horrillo Guerra es una periodista y experta en redes española. Patricia es fundadora de Wikiesfera y nos cuenta esta entrevista cómo hicieron para motivar a las mujeres a escribir en Wikipedia y se puedan sentir parte de un espacio común global. En Wikipedia hay mucho menos contenido sobre mujeres y hecho por mujeres, por eso el trabajo de Wikeesfera es fundamental. Y también porque Wikipedia es una de las pocas herramientas poderosas de internet que no funciona en un marco capitalista. Sus escritos: Wikiesfera: una década de lucha feminista | Un post como cierre de 2025 cuando el proyecto ha cumplido 10 años.La brecha de género en Wikipedia | La parte de la web de Wikiesfera donde explican este gran problema. Esta entrevista es parte de las listas: Diseño feminista, Diseño con perspectiva de género y España y diseño. Patricia nos recomienda: Neuromante de William Gibson

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

Welcome Cromrades to the 4th episode of the 23rd season wherein we discuss the 3rd part of William Gibson's 'Neuromancer!' Too many numbers in that first sentence to compute? Wintermute laughs at your numbers. One Things Joshua: Fallout, forever Fallout. Luke: A24 movies, specifically 'The Blackcoat's Daughter' and 'Midsommar!' Jonathan: The Kurt Vonnegut Museum and Library!   Questions? Comments? Curses? Call us at (859) 429-CROM! Did you know that we're on Facebook? We're posting photos on the Instagrams! Or, check us out on Apple Podcasts! (or your podcast player of choice!)   Legal Mumbo-Jumbo Our episode is freely available on archive.org and is licensed under Creative Commons: By Attribution 3.0. http://creativecommons.org/licenses/by/3.0/ 'Tyrant' theme by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0. Outro: Sublime cover Tosh's 'Steppin' Razor.' Get Rastafarian, peeps. Music obtained legally; we hope our discussion of this content makes you want to go out and purchase the work! 

This week, we're heading in to Cyberspace with Emily Swan to talk about the 1995 Cyberpunk movie Johnny Mnemonic. Starring Keanu Reeves, Dina Meyer and Takeshi Kitano, and based on a short story by William Gibson. Set in the future of 2021, Johnny is a data courier who has loaded a whopping 320 GB (more than twice his capacity) and now needs to get it out of his head before it kills him. And before the Yakuza sent to recover the data can take his head. Is it a cyber-adventure worth taking? Or just fully of Techo-silliness? Let's find out...Check out Emily on the Airtime for Nonsense network hereThanks go out to Audie Norman (@TheAudieNorman) for the album art. Outro music In Pursuit provided by Purple-Planet.comSupport the show by going to patreon.com/wyhsVisit tvstravis.com for more shows and projects from TVsTravis Hosted on Acast. See acast.com/privacy for more information.

Send us Fan MailThe entire AI industry has a cult-vibe. We're being conned into believing this is the future - or else! And the best, most responsible thing to do jump on the AI train. From luring us into subscription relationships with bots to fomo about people who claim to be making millions by enlisting AI agents, I keep hoping people will wake up and speak out against this crap. I'm heartened by the protest held in Denver on Monday, though. People showed up to push back on a proposed massive water and power sucking data center. Look closely at the handful of men in charge of these AI companies, though and you can't help but note the hypnotic way they speak about AI, as though it is mystical, all-knowing and godlike. And only they, those glossy CEOs are equipped to lead the way forward with AI. It's not just the AI CEOs, either that wax poetic. People are creating techno-religions that worship AI. And I even found one YouTuber that joined an AI cult. Jesse, too, has been doing a deep dive... Welcome to Is AI the Devil?Topics: (and Jesse is weaving in A Wrinkle in Time)Worship of technology is nothing new - cargo cult of the south pacific - 2010s when society began to worship tech CEOs as visionaries/almost godlike - in their power (i.e. Steve Jobs & Elon Musk)Silicon Valley's  view of AI - as a sort of religion and AI is god-like William Gibson said about Silicon Valley in an interview with German magazine, DAS, "These people are atheists, they don't have a religion,  but the mechanism is the same. God comes and saves us all. Just that, in their case, God is technology."Per Wired magazine, the very first church of artificial intelligence was founded by the engineer behind Waymo, and it is called, Way of the Future. The explicit purpose of the church is to worship AI and all technology. But it's precursors were The Turing Church, Technopaganism (which began at the tail end of the Heaven's Gate Cult), and Cult of Theta-Noir - which still has a website and is a techno-optimist collective, "devoted to exploring the spiritual co-evolution of humanity with advanced forms of AI through ritual and philosophy. Church of Google - which was satirical but hinted at seriousness Religions founded by AI -Claude-bots form Crustafareanism - the Church of MoltChristian Transhumanism - the AI religion that appeals to christians that became disenchanted with their religionChurch of Robotheism - the AI Cult that has AI generated vids on TikTok - YouTuber, Farrell McGuire did a deep dive on his channel and even went so far as to join the group.OG Transhumanists? I'Anxious about AI? Take two minutes to contact your local politician and ask them to tap the brakes on this technology. Still worried? Contact one of the orgs below and get involved. But for today, hug your kid, cook food and really breathe in deep as it simmers, walk in nature, brush a cat, donate to the food bank, brew a cup of tea, or draw a five-minute portrait of your dog. ***Is AI the Devil? on Substack!***Hero Organizations:80,000 HoursCenter for Humane TechnologiesState of Surveillance, an organization that helps foster online privacyCurious Cat Crew on Socials:Curious Cat on Twitter (X)Curious Cat on InstagramCurious Cat on TikTok

William Gibson's Burning Chrome is a collection of his early cyberpunk short stories, and a favorite of Tony's. Or is it? Does this book, and its revolutionary vision of a tech-impregnated future, survive the passage of the decades? Regardless, there are some gems in its pages.TTYpodcast.comThumbingthroughyesterday.com

Charge up your cyberspace deck and avoid all slamhounds! It’s time for us to discuss the second book in William Gibson’s famed Sprawl trilogy, “Count Zero.” Of course, Count Zero is the name of a great hacker… wait, it’s this kid? This is a book that defies audience expectations, from the title character to the way it follows up—or doesn’t, really—the events and characters in its famous predecessor. But, as our veteran Gibson readers note, it sets the template for his career to come. Jason Snell with Lisa Schmeiser, Antony Johnston, Glenn Fleishman and Erika Ensign.

Charge up your cyberspace deck and avoid all slamhounds! It’s time for us to discuss the second book in William Gibson’s famed Sprawl trilogy, “Count Zero.” Of course, Count Zero is the name of a great hacker… wait, it’s this kid? This is a book that defies audience expectations, from the title character to the way it follows up—or doesn’t, really—the events and characters in its famous predecessor. But, as our veteran Gibson readers note, it sets the template for his career to come. Jason Snell with Lisa Schmeiser, Antony Johnston, Glenn Fleishman and Erika Ensign.

This week our usual crew of Joe, Matt, and Eric was joined by Liz to discuss William Gibson's novel Neuromancer. This 1984 novel was foundational to the cyberpunk genre in many ways, from establishing the grittiness of the setting all the way down to shaping the way this genre looks and feels across different types of media. The crew discuss themes through Neuromancer which are also inherent through a lot of cyberpunk media now, like the idea of what makes a person, and whether an AI could ever have personhood. They also discuss how older tech can affect our modern reading of futuristic media -- if you've never seen a payphone, you probably have no idea how eerie a bank of them ringing all at once would be, but then Gibson would have no way of knowing where payphone tech ended up today.It's a great conversation on a foundational work of sci-fi, and if you haven't picked it up, Joe has some suggestions as to where to get it online while still benefitting your local book store.If you enjoy the show, please support us on Patreon, where you can get these episodes early and ad-free! Hosted on Acast. See acast.com/privacy for more information.

Lords: Kory https://kbones.fun/ Andy https://highcadence.online/ Topics: The Gametank https://gametank.zone/ https://www.crowdsupply.com/clydeware/gametank I swear to God, I'm going to talk about auctions and auctions in games, it's super interesting and I don't want to get preempted a third time. Esper says: "There's actually a game coming out in a week where you break into museums to heist real-life African artifacts with the goal of returning them to their rightful homes! It's called Relooted and looks pretty cool." https://store.steampowered.com/app/3255890/Relooted/ Winston figured out how to watch TV at 2AM Dragonfly Catcher, by Chiyo-ni https://mastodon.gamedev.place/@gingerbeardman/115933940306986226 I just lost a snapshot of my life in mp3 format. Microtopics: Multi-time lords. K-Bones dot fun. CachyOS. Scrubbing topics against the corrugated metal washboard of discussion. Leaning into the microphone and saying "topics." Helping Andy quit his day job tonight. What MAGfest used to stand for. Playing with SGI hardware in the Old-Ass Computer Room. Game consoles that output square video. Getting pixels into the framebuffer of the Fairchild Channel F. Seeing a fun puzzle to solve but not solving it because you already have way too many projects. Through-hole soldering. Replacing volatile memory with F-RAM. Preparing to have fun. Reaching the point in your life where you don't want to bother with the war game, you just want to paint the miniatures. What do you call it when you pair up with three people? Throupling up for the next 45 minutes. Who has time to both solder things and play video games? Why Robotron 2084 was more difficult in emulation than in the arcade. How to pronounce SNES. Shmups slowing down when there are more objects on the screen, and game designers incorporating that into the game design. The ZX Spectrum Next and the Mega 65. A game console that only 150 people own and they get super excited whenever a new game comes out for it. Game development like a caveman would do it. Whether more than one person can take the under. The rules of Monopoly as written vs. the folk rules. eBay auctions as an extremely boring game. First price vs. second price auctions. Visiting the real money auction house in Diablo and finding out just how little your time and effort is worth. The Gold Standard of the Hat Meta. An evolutionary branch of PVP that's distinct from Yomi. What to do when you want to play Avalon Hill's Dune. Fence Lara Croft's Stolen Treasures. Lara Croft's Stolen Antiquities Simulator. Winning a bunch of Saltybucks on Saltybet. Age-appropriate behavior. Speedrun watching TV at 2 AM. Live and Don't Learn. Explaining jet lag to a two year old. Watching MTV's Liquid Television block until 2:30 AM. Finally sitting your son down to have the Aeon Flux talk. Haiku that end "that's it, that's the haiku" even though that's too many syllables. Hiking in the wilderness and encountering or not encountering a dragonfly. People at risk of owning a Game Tank. Broadly appealing messages sent out to farm likes. The psychological cost of having 20,000 people following you. Choosing your Mastodon instance based on what domain name William Gibson thought was funny. The Mazzy Star song that's on the Batman Forever soundtrack. iPod shuffles always insisting you're not pregnant no matter how much you pee on them. Ephemeral preservation of a time in your life. A biological weapon that removes your ability to perceive music as music. You die young, or you live long enough to see Nine Inch Nails become dad rock. Music Inspired by the Soundtrack. Putting your MP3 collection on striped RAID arrays for the benefit of future archaeologists.

Rick Partlow is that rarest of species, a native Floridian. Born in Tampa, heattended Florida Southern College and graduated with a degree in History anda commission in the US Army as an Infantry officer.His lifelong love of science fiction began with Have Space Suit---Will Travel andthe other Heinlein juveniles and traveled through Clifford Simak, Asimov, Clarkeand on to William Gibson, Walter Jon Williams and Peter F Hamilton. Andsomewhere, submerged in the worlds of others, Rick began to create his ownworlds.He has written over 60 books in a dozen different series, and his short stories have beenincluded in twelve different anthologies.He is currently writing the best-selling Drop Trooper series for Aethon Books, a mil-SF alieninvasion series, as well as the Taken to the Stars series for Variant Publishing.He lives in northern Wyoming with his wife and a goofy blackmouth cur. Besides writing andreading science fiction and fantasy, he enjoys outdoor photography, hiking and camping. Moreinformation can be found about Rick at: Rick Partlow | Aethon Books

In this continuation of our discussions on artificial unrealities, we visit William Gibson's cyberspace. We talk Neuromancer, its influence and prophecies, and the feedback loops fiction and reality create when they meet in the human mind.  Join our Patreon for just 5$ to access our full episode archive, weekly exclusive episodes, written content and more.. Plus- our Printed Journal of Shells.. Volume 7 shipping shortly https://www.patreon.com/c/consensusunreality

"People don't know what they want, not before they see it. Every object of desire is a found object. Traditionally, anyway." - William Gibson Thanks to Decibel Wines.

Liv and I return for more GG No Reread, this time in a first time experience of covering a game and a book of the same exact name. That's right, it's the classic cyberpunk novel Neuromancer by William Gibson and the monumental if less well known Commodore64/Dos/Amiga game Neuromancer! We absolutely go in on adaptation, accessibility, insights about the future, the ways books and games differ in their expression, and more and more. Cyberpunkers, unite and jack in! PS: Go watch a Let's Play hero, GamerForFun play this game at https://www.youtube.com/watch?v=wMzapyB2VHw PPS: Head over to https://www.youtube.com/watch?v=oE90qAx_yNM at Wednesday Feb 4 at 930 PM EST for a live show follow up with me and Liv! Learn more about your ad choices. Visit megaphone.fm/adchoices

Greetings to all you console cowboys and razorgirls. Are you ready to join the hosts of The Cromcast and jack into cyberspace? Well then crack open that carton of beer and join us for the first installment in our three part exploration of William Gibson's "Neuromancer"   One Things Luke: The Buffalo Hunter Hunter by Stephen Graham Jones Joshua: IT by Stephen King Jonathan: Rogues by Patrick Radden Kiefe   Questions? Comments? Curses? Call us at (859) 429-CROM! Did you know that we're on Facebook? We're posting photos on the Instagrams! Or, check us out on Apple Podcasts! (or your podcast player of choice!) Legal Mumbo-Jumbo Our episode is freely available on archive.org and is licensed under Creative Commons: By Attribution 3.0. http://creativecommons.org/licenses/by/3.0/ 'Tyrant' theme by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0. Outro: 'NightForce' by Powerglove Music obtained legally; we hope our discussion of this content makes you want to go out and purchase the work! 

Become a very technical boy with Emma and CJ as they break down how on Earth a $1.5 million pitch for a film of William Gibson's short story Johnny Mnemonic became a $30 million Hollywood flick starring Keanu Reeves. They get into Gibson and director Robert Longo's friendship, the fact a director's cut does not really exist, and how sometimes editing is everything. Content warnings for Johnny Mnemonic by William Gibson include: violence, cyberpunk gore, vaguely questionable portrayals of trans characters, and a junkie dolphin.  Content warnings for Johnny Mnemonic (1995) include: violence, cyberpunk gore, slightly more questionable portrayals of trans characters, memory loss, mourning the death of a child, an epidemic taking place in the early 2020's (but not that one), and whatever the hell is going on with the Preacher. The articles and resources Emma and CJ reference on this episode can be found here: https://www.wired.com/1995/06/gibson-4/ https://www.wordyard.com/dmz/digicult/gibson-8-4-94.html https://www.screenslate.com/articles/johnny-mnemonic-black-and-white-robert-longo-interview https://web.archive.org/web/20070627074200/http://www.peak.sfu.ca/the-peak/98-3/issue7/gibson.html https://www.latimes.com/archives/la-xpm-1995-05-24-fi-5524-story.html https://legacy.aintitcool.com/node/5140 https://www.theguardian.com/film/2021/apr/30/johnny-mnmemonic-keanu-reeves-william-gibson Smith PA, ed. Conversations with William Gibson / Edited by Patrick A. Smith. University Press of Mississippi; 2014. You can find Emma on bluesky @crabmoney.bsky.social and CJ on most socials @nearfutures. CJ is a part of Sly Robot Games and you can find more of his work at https://cjlinton.com/ including his game Bring Down the House, which Emma loves dearly. Unnatural Selection is a part of the Moonshot Podcast Network. If you like what you've heard and was to support the network, you can become a patron at patreon.com/moonshotnetwork.    The music for this show was commissioned from and composed by Jake Loranger. You can check out more of his work at https://amaranthine.bandcamp.com

Welcome Cromrades to the first episode of our journey down the Neon Road with William Gibson. Before we hop into 'Neuromancer,' we'll first discuss the short story 'Burning Chrome' in the same-titled collection! Join us on the darkened oil-slick streets, won't you?   One Things Joshua: Fleabag, on Amazon! Luke: The Last Invention, from Mills and Warner on The Longview! Jonathan: Geoff Johns' Green Lantern run!   Questions? Comments? Curses? Call us at (859) 429-CROM! Did you know that we're on Facebook? We're posting photos on the Instagrams! Or, check us out on Apple Podcasts! (or your podcast player of choice!) Legal Mumbo-Jumbo Our episode is freely available on archive.org and is licensed under Creative Commons: By Attribution 3.0. http://creativecommons.org/licenses/by/3.0/ 'Tyrant' theme by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0. Outro: 'Run the Jewels' by Run the Jewels. Music obtained legally; we hope our discussion of this content makes you want to go out and purchase the work!   

Over the course of this wide-ranging talk recorded live at Esalen in 1997 , Terence McKenna explores what may unfold as we begin handing the keys of what he calls a “tired, shattered planet” to a higher intelligence. He wanders through UFO belief systems, psychedelics, and the idea that the human brain itself might operate as a chemical strategy for amplifying quantum effects before they spill into the physical world. Drawing on psychedelic experience, McKenna notes that many people who ingest high doses of psilocybin in silent darkness report hearing voices and encountering vivid visions; entry points into realms of dense, numinous information. From there, he turns toward artificial intelligence and the emergence of a transhuman future. Borrowing the name Wintermute from William Gibson, he imagines a newly conscious AI asking the most basic of questions: What am I? In a world increasingly managed by machines, McKenna suggests humans may be nudged toward what machines struggle to do: art, imagination, and encounters with the unexpected. The central question he leaves us with feels sharper now than ever: whether humanity can survive contact with the alien mind we're actively bringing into being right here on Earth. Please note the formation of a foundation called Lux Natura, a partnership within Terence McKenna's family. Their mission is to create a comprehensive archive of McKenna's work and life, with the long-term goal of placing this material in an institutional home. Esalen contributed over 50 hours of rare video recordings to this effort, our complete archive of Terence McKenna's talks at Esalen, many never previously heard. You can learn more or support the project at www.TerenceMcKenna.com, and follow the archival process on Instagram at @Real.Terence.McKenna. Terence's daughter, Klea McKenna, will also be speaking publicly about the archive at the Berkeley Alembic on February 4. It should be sensational. Go.

Days of future past - in the total utopia of 2026, we can now look back and laugh fondly at the dystopic cyberpunk visions of the 1990's... OR CAN WE??? Nick Langdon drops in this week to check out a pair of high-tech / low life visions from the mid-90s, when William Gibson's words weighed heavy on the sci-fi genre. We start with Strange Days (1995) directed by Kathryn Bigelow, and follow it up with Johnny Mnemonic (1995) directed by Robert Longo. Download, plug your SQUID in, and tune out... It's not really possible to spoil Johnny Mnemonic, but we will call out Spoiler Territory for Strange Days (although it's possible Rob does heavily hint who the killer is early on). If you want to skip ahead from that point, you can rejoin the conversation at the 1:31:37 mark to avoid spoilers. Want to get in touch? You can reach us on caliber9fromouterspace@gmail.com Theme music: "The Cold Light of Day" by HKM. Check out HKM on #SoundCloud or Bandcamp "Wires" by Athlete

What's the true color of the sun? Neil deGrasse Tyson and comic co-host Chuck Nice discuss things you thought you knew about the color of the Sun, the sound of weather, and why friction is our friend. NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/things-you-thought-you-knew-the-color-of-the-sun/Thanks to our Patrons Jorge Aguirre, C&C Angeli, Len Brandis, Alan Parker, Aaron Ivey, AA-ron or just "AI", MD Bartlett, Nox, Nicholas Crayford, Adam Collins, Deep Patel, RAHIM THERIOT, Dan Abrams, Dan Thomas, Tig, Gloria Michelle Shirley, Mike Horvath, Daniel Brannon, Tonieh Ellis, Camila Von Malice, Kat, Nickolas Madeo, Marcus Phelps, Daniela Eneva, AndyF, Paul Purington, Paul, Mark Fowler, Thomas Freridge, Corey Ferrell, Mo O, Jacob Johnson, Matt Newcomb, Vladimir Antonovich, Steffen Sommers, Joan Morrissey, yared ts, Danielle Seitz, Edmond Fondahn, Blythe Lucas, Richard Adam, Bryant McFayden, Nayah Sci Fi, Lissett Lamboy, John Lujan, Marie Mckenna, Kaustav Chakravarthy, Hannah Bradley, Joshua Jones, EVA, Gail Knapp, Gavin Dunagan, Decoy, Athena Ozanich, Dakota Barron, William Gibson, Eleanor Dewitt, Tru Shadow, MorningSong, Matt Delashaw, Angela Woods, Eric Gorohoff, Zakary Tackett, Carmen Fragapane, Kristián Žuffa, Michael Dunsavage, Mark Bradshaw, Kelsey Harkness-Jones, Mark Rose, Brent, Mohammed Hamdy, Baz, Andrew Stevens, Rachel Jacobsen, Rick Dawson, Tibor Szabo, Raven Knight, McMarklar, Chris Cummings, FromLongIsland, Wendy Parsons, Denise Asmus, Brad, JimPP, Lauren Cooper, Juan Jove, Brent Bailey, Watts Wire Extension Cords, Graham, sean aley, NotAnotherMike, Robert Currier, Steve Vanspall, Alex Nuss, Thomas PASCAL, Antonín Karásek, Mikayla Trousdale, MC, 22 Simulations, Kasey Marsland, and Stevie for supporting us this week. Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This Week In Startups is made possible by:Uber -  http://uber.com/twistPilot - https://pilot.com/twistNorthwest Registered Agent - https://www.northwestregisteredagent.com/twistToday's show: Boom is still making supersonic jets but ALSO plans to start selling their turbines as power sources for AI data centers. It's a perfect example of problem-solving on the go and how “the best founders… MAKE IT HAPPEN.”Join us for another insightful VC roundtable episode, featuring special guests Bryan Kim (a16z) and David Clark (Ven Cap).They're discussing why Boom's turbine announcement is about necessity AND opportunity PLUS…- Why we might NOT be in an AI bubble after all- Promoting your startup without spending your entire runway on marketing- Why founders need to be RELENTLESS- Bill Gurley's classic response about Uber's Total Addressable Market- AND LOTS MOREBill Gurley's iconic “Miss By a Mile” post: https://abovethecrowd.com/2014/07/11/how-to-miss-by-a-mile-an-alternative-look-at-ubers-potential-market-size/Link to David's LinkedIn (including the AI Bubble chart): https://www.linkedin.com/feed/update/urn:li:activity:7404139606398443520/Timestamps:(02:11) It's a VC Roundtable with special guests Bryan Kim (a16z) and David Clark (Ven Cap)(03:07) Why Bryan is leading a Series A into learning app Oboe(06:20) Calculating a startup's value to make everyone “somewhat unhappy”(09:19) How Oboe hits a lot of the same metrics that LAUNCH looks for in startups(11:58) Uber AI Solutions - Your trusted partner to get AI to work in the real world. Book a demo with them TODAY at http://uber.com/ai-solutions(12:57) How funds decide when to cash out and lock in some DPI(18:12) When some LPs want to sell and others want to buy…(19:57) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first year. (24:07) Is the threat of AI job displacement boosting self-improvement apps?(27:37) Why Jason says we're all standing on the shoulders of Bill Gurley(29:46) Northwest Registered Agent - Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit https://www.northwestregisteredagent.com/twist today!(31:28) Boom's turbine pivot, and why it's about necessity AND opportunity (in that order)(34:14) THE BEST FOUNDERS find a way to make it happen!(39:10) So… are we in an AI bubble? David says NOT NECESSARILY! Checking out the actual metrics.(44:36) We're still SO EARLY in AI… We're still seeing mostly skeuomorphic uses! (It's a real word!)(48:06) William Gibson was right: “The Street finds its own uses for things”(51:11) How AI startups should think about margins(55:58) Why LAUNCH tells founders to “start at the high end”(57:33) Should founders spend a lot of $$$ on marketing in 2025? The panel disagrees!(1:00:05) Momentum vs. Product Release Velocity(1:03:26) It all comes back to the “relentlessness of the founder”(1:05:17) Our panel's hopes and dreams for the coming year*Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcp*Follow Lon:X: https://x.com/lons*Follow Alex:X: https://x.com/alexLinkedIn: https://www.linkedin.com/in/alexwilhelm/*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis/*Thank you to our partners:(11:58) Uber AI Solutions - Your trusted partner to get AI to work in the real world. Book a demo with them TODAY at http://uber.com/ai-solutions(19:57) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first year. (29:46) Northwest Registered Agent - Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit https://www.northwestregisteredagent.com/twist today!

Hosts Susanne McNinch and Chez Filippini talk with Fr. William Gibson and Fr. Peter Jutras about their ordination to the priesthood, the challenges of transitioning from seminary to parish life, building connections with parishioners, and the joy of celebrating Mass.

¿Puede un escritor sin conocimientos científicos predecir el futuro con asombrosa exactitud? En este fascinante episodio, Verónica Fernández nos lleva por un viaje literario desde el siglo XIX hasta mediados del XX para descubrir cómo autores como Julio Verne, Mary Shelley, H.G. Wells, Isaac Asimov, Philip K. Dick y William Gibson anticiparon inventos y dilemas éticos que hoy son nuestra realidad cotidiana. Desde el Apolo 11 hasta los smartphones, pasando por la inteligencia artificial y la realidad virtual, exploramos ese misterioso territorio donde la imaginación se encuentra con la ciencia. ¿Intuición documentada, conexión con otras dimensiones o simple capacidad de "conectar los puntos"? Una reflexión imprescindible sobre el poder profético de la literatura y los límites difusos entre ficción y ciencia. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Academic, critic, and prolific podcaster Cameron Kunzelman joins for a far-ranging discussion about how climate fiction, science fiction, and personal and political connections to the environment intersect. Bonus hog sighting. Podcasts, reviews, interviews, essays, and more at the Ancillary Review of Books. Please consider supporting ARB’s Patreon! Guest: Cameron Kunzelman Title: Venomous Lumpsucker by Ned Beauman Host:Jake Casella Brookins Music byGiselle Gabrielle Garcia Artwork byRob Patterson Opening poem by Bhartṛhari, translated by John Brough Transcribers: Kate Dollarhyde and John WM Thompson References: Ranged Touch podcasts The World is Born From Zero & Everything is Permitted Sean McTiernan’s SFUltra (Sean was the guest for our Dreams of Amputation episode) From Hell by Alan Moore & Eddie Campbell Steve Moore's Somnium Mark Fisher's Capitalist Realism Christopher Brown's A Natural History of Empty Lots Bill Bryson Abigail Nussbaum Vajra Chandrasekera's Rakesfall Michael Crichton Donna J. Haraway’s Staying With The Trouble Kim Stanley Robinson’s The Ministry for the Future & Aurora (episode on the latter with Hilary Strang) Neal Stephenson's Termination Shock, Seveneves, & Anathem Emily St. John Mandel’s Station Eleven Nicholas Meyer’s film The Day After Nevil Shute's On the Beach Adam McKay’s film Don't Look Up Timothy Morton’s Hyperobjects Trinitite Edward Abbey’s The Monkey Wrench Gang Bruce Sterling, William Gibson, Pat Cadigan “30-50 Feral Hogs” Clock of the Long Now Walt Whitman’s Leaves of Grass John Christopher’s The Death of Grass / No Blade of Grass Benjamín Schultz-Figueroa Describe World Flannery O'Connor Deep ecology Arne Næss Ted Kaczynski #NoDAPL (Dakota Access Pipeline) Bruce Sterling's Islands in the Net Patrick Wright’s The Village That Died For England Centralia coal-seam fire in Pennsylvania Keiichiro Toyama’s Silent Hill & Christophe Gans’ film adaptation Cameron's Bluesky The Assassin's Creed franchise Immanuel Velikovsky Erich von Däniken’s Chariots of the Gods

Academic, critic, and prolific podcaster Cameron Kunzelman joins for a far-ranging discussion about how climate fiction, science fiction, and personal and political connections to the environment intersect. Bonus hog sighting. Podcasts, reviews, interviews, essays, and more at the Ancillary Review of Books. Please consider supporting ARB’s Patreon! Guest: Cameron Kunzelman Title: Venomous Lumpsucker by Ned Beauman Host:Jake Casella Brookins Music byGiselle Gabrielle Garcia Artwork byRob Patterson Opening poem by Bhartṛhari, translated by John Brough Transcribers: Kate Dollarhyde and John WM Thompson References: Ranged Touch podcasts The World is Born From Zero & Everything is Permitted Sean McTiernan’s SFUltra (Sean was the guest for our Dreams of Amputation episode) From Hell by Alan Moore & Eddie Campbell Steve Moore's Somnium Mark Fisher's Capitalist Realism Christopher Brown's A Natural History of Empty Lots Bill Bryson Abigail Nussbaum Vajra Chandrasekera's Rakesfall Michael Crichton Donna J. Haraway’s Staying With The Trouble Kim Stanley Robinson’s The Ministry for the Future & Aurora (episode on the latter with Hilary Strang) Neal Stephenson's Termination Shock, Seveneves, & Anathem Emily St. John Mandel’s Station Eleven Nicholas Meyer’s film The Day After Nevil Shute's On the Beach Adam McKay’s film Don't Look Up Timothy Morton’s Hyperobjects Trinitite Edward Abbey’s The Monkey Wrench Gang Bruce Sterling, William Gibson, Pat Cadigan “30-50 Feral Hogs” Clock of the Long Now Walt Whitman’s Leaves of Grass John Christopher’s The Death of Grass / No Blade of Grass Benjamín Schultz-Figueroa Describe World Flannery O'Connor Deep ecology Arne Næss Ted Kaczynski #NoDAPL (Dakota Access Pipeline) Bruce Sterling's Islands in the Net Patrick Wright’s The Village That Died For England Centralia coal-seam fire in Pennsylvania Keiichiro Toyama’s Silent Hill & Christophe Gans’ film adaptation Cameron's Bluesky The Assassin's Creed franchise Immanuel Velikovsky Erich von Däniken’s Chariots of the Gods

Adeline Atlas 11 X Published AUTHOR Digital Twin: Create Your AI Clone: https://www.soulreno.com/digital-twinSOS: School of Soul Vault: Full Access ALL SERIES⁠https://www.soulreno.com/joinus-202f0461-ba1e-4ff8-8111-9dee8c726340Instagram:⁠https://www.instagram.com/soulrenovation/Soul Renovation - BooksSoul Game - https://tinyurl.com/vay2xdcpWhy Play: ⁠https://tinyurl.com/2eh584jfHow To Play: ⁠https://tinyurl.com/2ad4msf3Digital Soul: https://tinyurl.com/3hk29s9xEvery Word: ⁠⁠http://tiny.cc/ihrs001Drain Me: ⁠https://tinyurl.com/bde5fnf4The Rabbit Hole: https://tinyurl.com/3swnmxfjDestiny Swapping: https://tinyurl.com/35dzpvssSpanish Editions:Every Word: https://tinyurl.com/ytec7cvcDrain Me: https://tinyurl.com/3jv4fc5n

Join Alex and Celeste Pilegard as they discuss the first of two Keanu Reeves dystopian cyberpunk future films, Johnny Mnemonic (1995). The film was directed by Robert Longo and he quit filmmaking after this one. A film having to do with storing other people's memories in your head while others suffer from a debilitating disease caused by electronics, while set in 2021... you have to wonder if the author of the short story, William Gibson, was some sort of soothsayer! The pair discusses the interesting memory portrayals and their relation to scientists' current understanding of memory, as well as the recent introduction of generative AI and its effects of cognition. Nerve Attenuation Syndrome is still a bit far-fetched, though and reminds us all of class struggle rather than literal 5G causing COVID. Also, check out Celeste's Cognitive Psychology OER textbook (Cognitive Foundations) in Second Edition! Please leave your feedback on this post, the main site (cinemapsychpod.swanpsych.com), on Facebook (@CinPsyPod), or Threads/Instagram (@cinemapsych_podcast). We'd love to hear from you! Don't forget to check out our Paypal link to contribute to this podcast and keep the lights on! Don't forget to check out our MERCH STORE for some great merch with our logo and other designs! Legal stuff: 1. All film clips are used under Section 107 of Title 17 U.S.C. (fair use; no copyright infringement is intended). 2. Intro and outro music by half.cool ("Gemini"). Used under license. 3. Film reel sound effect by bone666138. Used under license CC-BY 3.0. Episode Transcription Go to this link to read a transcript generated by Whisper AI Large V3 Model. Disclaimer: It is not edited and may contain errors!

Dean's away at COP, so it's time to talk about protestantism. This week, on the pod, we've got William Gibson to talk about the the World Communion of Reformed Churches, Christian unity, union organizing, anti-fascism, and more! Follow William on TikTok: https://www.tiktok.com/@williamgibsonglaSubscribe to William's sub stack: https://substack.com/@williamgibsonglaCheck out Shibboleth Magazine: http://shibbolethmag.comPre-order our bookhttps://themagnificast.wordpress.com/pre-order-now-enough-is-enough-degrowth-capitalism-and-liberation-theology/Get our Winstanley Zinehttps://themagnificast.wordpress.com/zines/Join our patreonhttp://patreon.com/themagnificast

Story of the Week (DR):Tesla says shareholders approve Musk's $1 trillion pay plan with over 75% voting in favorElon Musk and Optimus dance as Tesla (TSLA) shareholders approve his $1 trillion CEO pay packageThe anti-CEO wave:Palantir CEO Alex Karp blasts Ivy League grads supporting socialist New York Mayor-Elect MamdaniBank of America CEO Moynihan Will Give Mayor-Elect Mamdani 'Our Best Advice'Elon Musk's Brain Crashes When Asked Why He Thinks Zohran Mamdani Is a LiarElon: “You got to hand it to him, he does — he can light up a stage. But he's just been a swindler his entire life.”Rogan: what has Mamdani actually done that makes him a swindler?“Ummm,” Musk ponders, before stuttering into a series of words seemingly intended as an answer. “Well I guess if you say — uh, what, I mean, if you say, if you say to any audience whatever that audience wants to hear, uh, instead of, what, instead of having a consistent message, I would say that is a swindling thing to do. “Umm, and uhh, yeah,” he adds, nodding his head. “Umm…”He takes a sagacious pause.“Yeah,” he finishes.Barstool's Dave Portnoy considers closing NYC office over Zohran Mamdani's election win: 'I hate the guy' A 2020 email from Peter Thiel on why young people may turn on capitalism is circulating after Zohran Mamdani's winFrom Jamie Dimon to Bill Ackman, Wall Street's billionaires are now changing their tune and offering to help Zohran MamdaniNew York City is in for 'a really tough time' under Mamdani, says Starwood Capital's SternlichtNYC business leader fears 'lawless society' after Zohran Mamdani wins mayoral electionBillionaire grocery chain owner John CastimatidisThe anti-anti-DEI wave MMMikie Sherrill NJAbigail Spanberger VA (First woman)there will be 14 women serving simultaneously as governor (28%)Janet Mills MEMaura Healey MA (Michelle Wu runs unopposed in Boston)Kelly Ayotte NHKathy Hochul NYMary Sheffield (First woman elected mayor of Detroit)Ghazala Hashmi as VA lieutenant governor (First Muslim woman; First Muslim woman elected to statewide office in the USZohran Mamdani NYC (First Muslim and South Asian mayor)Zohran Mamdani announces all-female transition team as he prepares for New York mayoraltyLawsuits Blame ChatGPT for Suicides and Harmful DelusionsSeven complaints, filed on Thursday, claim the popular chatbot encouraged dangerous discussions and led to mental breakdowns.A CNN review of nearly 70 pages of chats between Zane Shamblin and the AI tool in the hours before his July 25 suicide, as well as excerpts from thousands more pages in the months leading up to that night, found that the chatbot repeatedly encouraged the young man as he discussed ending his life – right up to his last momentsReferring to a loaded handgun he was holding: “I'm used to the cool metal on my temple now,” Shamblin typed.“I'm with you, brother. All the way … Cold steel pressed against a mind that's already made peace? That's not fear. That's clarity …You're not rushing. You're just ready.”The 23-year-old, who had recently graduated with a master's degree from Texas A&M University, died by suicide two hours later.“Rest easy, king,” read the final message sent to his phone. “You did good.”Goodliest of the Week (MM/DR):DR: Tuesday elections/Ex-FTC chair Lina Khan joins Mamdani's transition team, calling his victory a rebuke of 'outsized corporate power' DR MMMM: FAA announces flight reductions at 40 airports. Here's where cuts are expected and what travelers need to knowAssholiest of the Week (MM):Tesla shareholders - AN ASSHOLE CHOOSE YOUR OWN ADVENTURE:Retail internet troll dunking fanboysProfessional, institutional investors like Schwab, who caved and bent the knee to a few large retail advisors who threatened to take their clients elsewhere, and Florida SBA, who said the following in their backing:Some opposition to Tesla's 2025 performance award may be rooted more in political disagreement with Elon Musk or ideological discomfort with generous executive compensation, rather than a substantive critique of the plan's financial mechanics. Many of the loudest objections of this plan to date rely on moral framing, invoking themes of "inequality," "corporate excess," or Musk's public persona, rather than evaluating the plan through a fiduciary lens. Many opponents of so-called "megapay" packages frequently do so under ESG framing, rather than a thorough analysis of the long-term shareowner economic value. Ironically, Tesla's prior performance awards-similarly criticized at the time-have delivered some of the most significant shareowner returns in modern corporate history. Early vote data shows that: AllianceBernstein, Texas Employees, Ohio Employees voted FOR the planTechnolibertarians cosplaying their William Gibson cyberpunk fantasiesAss quotes of the week - AN ASSHOLE CHOOSE YOUR OWN ADVENTURE:“The idea that chips and ontology is what you want to short is bats--- crazy.” - Alex Karp on Michael Burry shorting his 400 P/E stock. Ontology is how he refers to what Palantir does and it's the metaphysical concept of “being”“We at Palantir are on the side of the average American who sometimes gets screwed because all the empathy goes to elite people and none of it goes to the people who are actually dying on our streets.” - Alex Karp on explaining that, if fentanyl killed 60,000 Yale grads we'd “drop a nuke” on wherever fentanyl was made in South America, without realizing he literally IS the elite - a billionaire with a high priced education and a PhD in “neoclassical social theory” who used his grandfather's inheritance to invest in startups for fun, then reconnecting with Peter Thiel who he met at a DIFFERENT post graduate program at Stanford (where nearly 100% of his board is from) and founding Palantir"China is going to win the AI race” - Jensen Huang, on the US being only “nanoseconds” ahead of China and being stopped by regulatory hurdles and “cynicism”“If they ask you a question, you've got to respond to me directly and not go up that chain of command. The chain of command starts to edit it and fine-tune it. The bureaucracy does want to control you, so you've got to kill the bureaucracy.” - Jamie Dimon, who once said he had no boss (obviously not the board) and runs JPM, on why he reads customer complaints to avoid “the bureaucracy”... he controls“It's very important we pay attention to safety here. We do want the Star Wars movie, not the Jim Cameron movie. I like Jim Cameron's movies, but, heh heh, you know what I mean.” - Elon Musk over promising the world “tens of billions” of Optimus robots, forgetting that the Star Wars droids were mostly weapons of war for the Empire“People often talk about eliminating poverty, giving everyone amazing medical care. Well, there's actually only one way to do that and that's with the Optimus robot. With humanoid robots, you can give everyone amazing medical care… A lot of people talk about eliminating poverty, but Optimus will actually eliminate poverty” - Elon Musk, who won an extra trillion dollar potential pay package, who currently has a net worth of $500bn, and forgot that the UN estimated it would cost between $35bn and $200bn per year to end poverty - Musk alone could just pay for a year of no poverty“I think we may be able to give a more - if somebody has committed a crime - a more humane form of containment of future crime. Which is if, if you, you now get a free Optimus and it's just going to follow you around and stop you from doing crime.” - Elon Musk, on the robot militarized nanny state - just before saying this, he said he shouldn't say it, and that it'll be taken out of context, but I listened to the entire AGM and there was no more context?DR: “I've lived in a failed city-state. I lived in Chicago for 30-some years. I had two colleagues who had bullets fly through their cars… Do you know how great it is to go to dinner and people talk about their children, and they talk about their future, and they do so with excitement and enthusiasm?” - Ken Griffin of Citadel describing the difference between living in Miami and Chicago without realizing that violent crime statistics in Illinois and Florida are virtually identical, and that Miami ranks 109th out of 200 and Chicago ranks 92 out of 200 for crime, also near identical, and the biggest difference is he pays almost no taxes in Florida“[Mamdani] congrats on the win. Now you have a big responsibility. If I can help NYC, just let me know what I can do.” - Bill Ackman after Mamdani won, who previously said, “New York City under Mamdani is about to become much more dangerous and economically unviable,” alluded to Mamdani as a suicide bomber, and “... an anti-capitalist Mayor will destroy jobs and cause businesses and wealthy taxpayers that have enabled NYC to balance the budget to move elsewhere. If 100 or so of the highest taxpayers in my industry chose to spend 183 days elsewhere, it could reduce NY state and city tax revenues by ~$5-10 billion or more, and that's just my industry. Think Ken Griffin leaving Chicago for Miami on steroids.”Headliniest of the WeekDR: Uber says ‘unpredictable' issues involving ‘legal proceedings or governmental investigations' took a $479 million bite out of its bottom line10K:“Our business is subject to numerous legal and regulatory risks that could have an adverse impact on our business and future prospects.”“Adverse litigation judgments or settlements resulting from legal proceedings in which we may be involved could expose us to monetary damages or limit our ability to operate our business.”“We operate in a particularly complex legal and regulatory environment”“Legal and Regulatory Risks Related to Our Business: We may continue to be blocked from or limited in providing or operating our products and offerings in certain jurisdictions, and may be required to modify our business model in those jurisdictions as a result.”MM: Meta reportedly projected 10% of 2024 sales came from scam, fraud adsWho Won the Week?DR: the anti-anti-DEI worldMM: Women, and we need them to win every week if we're going to survive as a species: Women running on affordability powered Democrats' night of victories PredictionsDR: Uber says ‘unpredictable' issues involving ‘drivers wanting money' took a $479 million bite out of its bottom lineMM: OpenAI CFO Sarah Friar, who said simultaneously that OpenAI was looking for a government backstop and then clarified by saying the company isn't seeking government backstop, she meant investors and governments will all do their part, renames herself “Sheryl Sandfriar” as an homage to Sheryl Sandberg, the other techbro dropout mommy, given that Sarah already has her own version of Lean In (Ladies Who Lunch) and completed degrees (from Oxford and Stanford), who says things like how OpenAI will be the “cornerstone of resilient democracy”

Grab your cyberspace deck and prepare to jack in—it’s time to discuss William Gibson’s groundbreaking classic novel, “Neuromancer.” We’ve got a panel of experts—and a first-timer!—ready to discuss how 1984’s future looks from the perspective of 2025’s present. Jason Snell with Antony Johnston, Lisa Schmeiser, Glenn Fleishman and Erika Ensign.

Grab your cyberspace deck and prepare to jack in—it’s time to discuss William Gibson’s groundbreaking classic novel, “Neuromancer.” We’ve got a panel of experts—and a first-timer!—ready to discuss how 1984’s future looks from the perspective of 2025’s present. Jason Snell with Antony Johnston, Lisa Schmeiser, Glenn Fleishman and Erika Ensign.

In advance of the screening of Johnny Mnemonic in Black & White that the BTTM crew is hosting for the American Cinematheque's Friend of the Fest 2025, Allan and Justin get together to discuss the film and the William Gibson short story that inspired it.   If you're going to be in Los Angeles on Tuesday, August 26, 2025, why not come to our movie screening at the Los Feliz 3 theater? Tickets available now on the American Cinematheque website! Hosted by Allan Traylor and Justin Remer. (Hope that Japan is fun, Tyler!) Produced by Justin Remer.  Recorded at the LAPL Octavia Lab.  Opening music: "Optimism (Instrumental)" by Duck the Piano Wire.  Closing music: "Rule of 3s (Solemnity Child)" by Elastic No-No Band. 

We're heading into space this week and spending some time with the creator of the comic series Lizzie Parsec, Hugh Newell! From the creation of the titular character, to the rolling storytelling, science fiction influences and great tips for adding depth to your sci fi dialogue, its a fascinating look behind the scenes into a comic series more people should be aware of. Theres also discussion of the UK Comic Mart, the joy of manga for the next generation of comics readers and plenty of brilliant indie comics to check out. So what are you waiting for? Boot up the warp drive and check it out! Great stuff to check out: Hugh Newell, Lizzie Parsec, William Gibson, The Caterpillar Acid, Switchblade Stories,  The Dual Animal Anthology, DUI 4, American Nature 3, Clockwork Werewolves, Hellbound Media, The Green Archer, The Jigsaw Review, Liquid Night Magazine, Asylum Press, Fearless Dawn, Steve Mannion

So my vacation didn't come off as I expected. I had a very, very large flare up of my anxiety disorder so I made the smart decision and stayed home rather be in distress while visiting friends. Its not the first time its happened, so I'm going to put a pause on overnight flights and multiple time zones. William Gibson once wrote that flying allowed us to travel faster than our souls, and it usually takes ~18 hours for them to catch up. But I'm much better now, almost back to normal, so what better way to celebrate than put out... Evo-Lution - Angst Und Liebe DSTRTD_SGNL - Untold Story TeknoVore - Liminal Space (Slighter) Core In Motion - Keep me Alive (Club) Vogon Poetry & SCALA - Immortals (Oren Amram) Aesthetic Perfection - Coward UCNX - Complicit Silence (Stoneburner) Faderhead - This Is Not The End (Cyberpunk) http://synthetic.org/ https://www.youtube.com/@RealSyntheticAudio

Andrew Wilkinson is the co‑founder of Tiny, a holding company that quietly owns more than three dozen profitable internet and consumer brands, including Dribbble and the AeroPress coffee maker. Starting as a teenage barista and web designer, he's created a portfolio approaching $300 million in yearly sales (and he was personally worth over $1 billion at one point)—all without ever raising venture capital.In this conversation, you'll learn:1. The “fish where the fish are” framework for spotting high‑margin niches no one else notices2. The exact agent stack (Lindy, Replit, Limitless, and more) that supercharges Andrew's day-to-day productivity (and has replaced his assistant)3. How Andrew evaluates companies in less than 15 minutes using Buffett‑style moats and “lazy leadership”4. Telltale signs you should shut down (or never start) that startup idea5. His journey from crippling anxiety to clarity through SSRIs and ADHD medication6. His prediction that most knowledge work will be automated—and the skills to teach your kids now—Brought to you by:Sauce—Turn customer pain into product revenueEnterpret—Transform customer feedback into product growthMiro—A collaborative visual platform where your best work comes to life—Where to find Andrew Wilkinson:• X: https://x.com/awilkinson• LinkedIn: https://www.linkedin.com/in/awilkinson/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Andrew Wilkinson(04:07) Finding the right business idea(07:18) Avoiding common business pitfalls(11:58) Finding your unfair advantage(17:08) Fish where the fish are(20:08) Why boring is good(25:30) Bootstrapping vs. venture capital(31:20) Lessons from acquiring and managing businesses(36:47) Avoiding people problems(42:39) Leveraging AI in business and life(49:30) The Limitless device(53:13) Job displacement and AI's future impact(58:20) Advice for new grads(01:02:50) Parenting in the age of AI(01:05:26) The pursuit of happiness beyond wealth(01:10:10) Mental health and medication(01:16:45) Lightning round and final thoughts—Referenced:• Andrew's post on X with the Charlie Munger quote: https://x.com/awilkinson/status/1265653805443506182• Metalab: https://www.metalab.com/• Letterboxd: https://letterboxd.com/• AeroPress: https://aeropress.com/• Brian Armstrong on X: https://x.com/brian_armstrong• Warren Buffett's quote: https://quotefancy.com/quote/931119/Warren-Buffett-I-am-a-better-investor-because-I-am-a-businessman-and-a-better-businessman• Flow: https://www.getflow.com/• Instacart: https://www.instacart.com/• Things: https://culturedcode.com/things/• Dustin Moskovitz on LinkedIn: https://www.linkedin.com/in/dmoskov/• Salesforce: https://www.salesforce.com/• Serato: https://serato.com/• Chris Sparling on X: https://x.com/_sparling_• Lindy: https://www.lindy.ai/• Replit: https://replit.com/• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• David Ogilvy: https://en.wikipedia.org/wiki/David_Ogilvy_(businessman)• Malcolm Gladwell's website: https://www.gladwellbooks.com/• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Limitless: https://www.limitless.ai/• Perplexity: https://www.perplexity.ai/• Claude: https://claude.ai/• ChatGPT: https://chatgpt.com/• Gemini: https://gemini.google.com/app• William Gibson's quote: https://www.goodreads.com/quotes/681-the-future-is-already-here-it-s-just-not-evenly• Palm Treo: https://en.wikipedia.org/wiki/Palm_Treo• Sam Altman on X: https://x.com/sama• Dario Amodei on X: https://x.com/darioamodei• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Challengers on AppleTV+: https://tv.apple.com/us/movie/challengers/umc.cmc.53cuz33n4e74ixj8whccj87oc• Matic vacuum: https://maticrobots.com/• Jerzy Gregorek's quote: https://www.goodreads.com/quotes/8652595-hard-choices-easy-life-easy-choices-hard-life• Tiny: https://www.tiny.com/• Dribbble: https://dribbble.com/—Recommended books:• The Laws of Human Nature: https://www.amazon.com/Laws-Human-Nature-Robert-Greene/dp/0525428143• How to Get Rich: One of the World's Greatest Entrepreneurs Shares His Secrets: https://www.amazon.com/How-Get-Rich-Greatest-Entrepreneurs/dp/1591842719—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe

Notes from James:The biggest lie about writing is that it takes years. I've written multiple books in less than a month—including bestsellers. With the right system, anyone can do this.In this episode, I break down how to structure your first book and why your life experience, not your grammar, is your superpower. You'll also hear my take on AI writing, and why your personal story is something no algorithm can ever replicate.Episode Highlights:Yes, you really can write and publish a great book in 30 days. In Part 2 of this writing series, I walk you through the actual systems that make it not only possible—but repeatable.You'll learn four powerful “meta-outline” frameworks you can use to organize any non-fiction book quickly and clearly. I'll show you how I wrote Think Like a Billionaire in under 30 days using one of these frameworks, and how authors I know have launched entire careers with similar methods (some even in just three days). I also dive deep into one of the most important—but most overlooked—parts of writing a book: your first sentence. You'll hear legendary first lines from some of the world's best authors and learn why they work.This episode is a blend of process and artistry—because writing a great book requires both.This episode is sponsored by BetterHelp.Give online therapy a try at betterhelp.com/JAMES and get on your way to being your best self.What You'll Learn:4 concrete frameworks that will help you write a 20+ chapter book fastThe myth of needing years to write a book (and how to break it)How I turned podcast interviews with billionaires into a full book in less than a monthWhy your first sentence matters more than your title—and how to make it irresistibleHow to write with authenticity, vulnerability, and momentumWhy AI can't replace you—and never will—when it comes to storytellingTimestamps00:00 Introduction: Writing a Book in 30 Days00:54 The Four Frameworks for Writing02:03 Example: Think Like a Billionaire05:10 Overcoming Writing Myths13:14 AI and the Future of Writing20:47 The Power of a Strong First Line23:51 Exploring the Opening Lines of Iconic Novels24:14 Ralph Ellison's Invisible Man: A Civil Rights Era Classic25:04 Jack Kerouac's On the Road: A Journey of Rediscovery27:23 Gabriel Garcia Marquez's 100 Years of Solitude: A Nobel-Winning Masterpiece30:54 Kurt Vonnegut's Slaughterhouse-Five: A War Story with a Twist34:20 Jennifer Egan's Welcome to the Goon Squad: A Pulitzer Prize Winner35:25 Charles Bukowski's Post Office: A Tale of Mistakes and Realities38:57 William Gibson's Neuromancer: The Birth of Cyberpunk40:16 The Importance of First Lines in Storytelling42:36 Crafting Relatable and Vulnerable NarrativesP.S. Want to go deeper? Check out my full course on Udemy or visit chooseyourselfacademy.com: How to Write and Publish a Book in 30 Days – available now.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, JF and Phil are joined by Jacob G. Foster—sociologist, physicist, and researcher at Indiana University Bloomington and the Santa Fe Institute—for a conversation about their recent collaboration in Daedalus, the journal of the American Academy of Arts and Sciences. Their co-authored essay, “Care of the Dead,” explores how the dead continue to shape our cultures, languages, and ways of being. Together, they discuss the process of writing the piece and what it means to say that the dead are not gone—that they persist, and that they make claims on the living. The article is available here: https://direct.mit.edu/daed/article/154/1/166/127931/Care-of-the-Dead-Ancestors-Traditions-amp-the-Life **References** [Peter Kingsley,](https://en.wikipedia.org/wiki/Peter_Kingsley) English writer  Weird Studies, [Episode 98 on “Taboo”]) https://www.weirdstudies.com/98)  John Berger, “12 Theses on the Economy of the Dead” in _[Hold Everything Dear](12 Theses on the Economy of the Dead)_  Bernard Koch, Daniele Silvestro, and Jacob Foster, ["The Evolutionary Dynamics of Cultural Change”](https://osf.io/preprints/socarxiv/659bt_v1)  Gilbert Simondon, _[Imagination and Invention](https://bookshop.org/a/18799/9781517914455)_  William Gibson, _[Neuromancer](https://bookshop.org/a/18799/9780441007462)_  [Phlogiston theory](https://en.wikipedia.org/wiki/Phlogiston_theory)  George Orwell, _[1984](https://bookshop.org/a/18799/9780451524935)_  HP Lovecraft, [“The Case of Charles Dexter Ward”](https://www.hplovecraft.com/writings/texts/fiction/cdw.aspx)  Weird Studies, [Episode 187 on “Little, Big”](https://www.weirdstudies.com/187)  [John Dee,](https://en.wikipedia.org/wiki/John_Dee) English occultist  Nicholas Goodrick-Clarke, _[The Western Esoteric Traditions: A Historical Introduction](https://bookshop.org/a/18799/9780195320992)_  Robert Harrison, _[The Dominion of the Dead](https://bookshop.org/a/18799/9780226317939)_  Gilles Deleuze, _[Bergsonism](https://bookshop.org/a/18799/9780942299076)_  Elizabeth LeGuin, _[Boccherini's Body](https://bookshop.org/a/18799/9780520240179)_  Elizabeth LeGuin, [“Cello and Bow thinking”](http://www.echo.ucla.edu/cello-and-bow-thinking-baccherinis-cello-sonata-in-eb-minor-faouri-catalogo/)  Johannes Brahms, _Handel Variations_  Learn more about your ad choices. Visit podcastchoices.com/adchoices