Podcast appearances and mentions of John Carmack

Lords: * Andrew * Kate Topics: * The strange and alienating experience of learning to drive at 40 * The mottos of the livery companies of London * https://en.wikipedia.org/wiki/Listofmottosandhallsoftheliverycompanies * https://en.wikipedia.org/wiki/Listofmottos * Independent They Stand! * https://archive.org/details/computer-games-magazine-issue-115-june-2000/page/n83/mode/2up?view=theater * Leda and the Swan, by William Butler Yeats * https://www.poetryfoundation.org/poems/43292/leda-and-the-swan * Predecimalization currency in the UK * DIY TTRPG mapping software, the ridiculous way Microtopics: * Streaming making maps of video games on the Internet. * The people who are willing to watch someone map out every corner of this sprawling and convoluted game. * Writing about video games and writing video games. * Dicey territory. (Which is only appropriate.) * King Stephen, which will have been great. * Fun jokes and oblique references. * Forty and a half years old. * Building your life around not being able to drive a car. * Pockets of civilization separated by vast stretches of asphalt. * The car unsteering itself unless you hold the steering wheel in place. * Someone yelling at you with their little beep beep horn. * Learning a skill and forgetting how you learn it. * Learning a skill before you find out that learning is hard. * The false sense of immortality that allows people to get into a car. * During your driving test, pushing the drift button but the driving instructor is like "I don't see any blue sparks" * Learning to drive when you're six years old. * Getting your Lego Land driving license. * Awarding the worst student in your driving class the "most spirited" driver's license. * Explaining what livery companies are by reading the Wikipedia page also. * The Worshipful Company of Communicators. * Everything's so good, bread especially. * A great motto for clockmakers. * Does anyone know any cool Latin mottos? * When are all these servants having time to go out and have mottos?? * The Soggiest God you can Muster. * The Worshipful Company of Information Technologists finding a Latin word that is also a snack food for their motto. * Painting, staining, and compelling obedience. * Sticking with Hope Classic. * Shoemakers making jokes about supporting their customers. * Getting the salt/wit pun in there for people who know Latin. * Africa: always producing some novelty. * The 2000 IGF. * How to read a magazine together on a podcast. * John Carmack's Finger Server. * Doom Guy. * John Romero's specific type of memory. * How they invented mouse look. * Turning with the arrow keys and aiming a reticle around the screen with the mouse. * Dragging the mouse to the top of your cool dinosaur mouse pad. * Why doesn't Microsoft Excel keep the mouse cursor in the center of the screen? * The FPS phone interface where you swipe on the touchscreen until the button you want to press is in the center of the screen, then pull the trigger on the back of the phone and a shotgun sound plays. * Fold-away interface panels. * Thousand Hells, by the developer of King of Dragon Pass. * All the video games named "Rift" or "The Rift" * How can those terrified vague pink fingers push the feathered glory from her loosening thighs? * Zeus disguised as a swan. * Whether Marylin Monroe will would've loved Hades. * Going to Wikipedia's list of mottos because you need some more mottos. * How many ha'ppenies to a thruppence? * The half crown, worth 2/6. * Several hundred quarterfarthings. * Decimal Day, 1971. * Extremely forgeable coins. * Dividing the day into two sets of twelve. * Decimalization. (Based on 10 fingers.) * Tuppence and Thruppence. * IBM calling it "hexadecimal" because they refuse to say "sexadecimal" out loud. * Theater of the Mind storytelling. * Importing an occlusion map. * Tinting what the players can see green and tinting what the DM can see red or blue. * Swapping the lenses in anaglyph glasses so one person can only see red and the other can only see blue. * Hanging a projector from the ceiling and projecting the D&D map on the table. * A projector of uncertain parentage. * Harebrained vs. cockamamie. * A fun puzzle you can run off and waste a bunch of time solving. * A stochastic cinema where you never know if it's going to be comedy or horror and everything seems totally real to you and is about your personal failings. * Focusing on wibbly dream state. * How to exhale with your nose plugged. * Losing your Apple Watch on Mt. Everest and going back up to look for it and it turns out you dropped it in the shower. * Topics going into the bucket that nobody ever sees. * Writing a secret on a piece of paper and burying it on a hill with a single tree on it on a moonlit night.

fWotD Episode 3145: Commander Keen in Invasion of the Vorticons Welcome to featured Wiki of the Day, your daily dose of knowledge from Wikipedia's finest articles.The featured article for Sunday, 14 December 2025, is Commander Keen in Invasion of the Vorticons.Commander Keen in Invasion of the Vorticons is a three-part episodic side-scrolling platform video game developed by Ideas from the Deep (a precursor to id Software) and published by Apogee Software in 1990 for MS-DOS. It is the first set of episodes of the Commander Keen series. The game follows the titular Commander Keen, an eight-year-old child genius, as he retrieves the stolen parts of his spaceship from the cities of Mars, prevents a recently arrived alien mothership from destroying landmarks on Earth, and hunts down the leader of the aliens, the Grand Intellect, on the alien home planet. The three episodes feature Keen running, jumping, and shooting through various levels while opposed by aliens, robots, and other hazards.In September 1990, John Carmack, while working at programming studio Softdisk, developed a way to implement smooth side-scrolling in video games on IBM-compatible personal computers (PCs), which at the time was the province of video game consoles or more game-focused home computers like the Commodore 64. Carmack and his coworkers John Romero and Tom Hall, along with Jay Wilbur and Lane Roathe, developed a demo of a PC version of Super Mario Bros. 3, but failed to convince Nintendo to invest in a PC port of their game. Soon afterwards, however, they were approached by Scott Miller of Apogee Software to develop an original game to be published through the Apogee shareware model. Hall designed the three-part game, John Carmack and Romero programmed it, Wilbur managed the team, and artist Adrian Carmack helped later in development. The team worked continuously for almost three months on the game, working late into the night at the office at Softdisk and taking their work computers to John Carmack's home to continue developing it.Released by Apogee in December 1990, the trilogy of episodes was an immediate success. Apogee, whose monthly sales had been around US$7,000, made US$30,000 on Commander Keen alone in the first two weeks and US$60,000 per month by June. The first royalty check convinced the development team, then known as Ideas from the Deep, to quit their jobs at Softdisk. The team founded id Software shortly thereafter and went on to produce another four episodes of the Commander Keen series over the next year. The trilogy was lauded by reviewers due to the graphical achievement and humorous style, and id Software went on to develop other successful games, including Wolfenstein 3D (1992) and Doom (1993). The Vorticons trilogy has been released as part of several collections by id and Apogee since its first release, and has been sold for modern computers through Steam since 2007.This recording reflects the Wikipedia text as of 00:42 UTC on Sunday, 14 December 2025.For the full current version of the article, see Commander Keen in Invasion of the Vorticons on Wikipedia.This podcast uses content from Wikipedia under the Creative Commons Attribution-ShareAlike License.Visit our archives at wikioftheday.com and subscribe to stay updated on new episodes.Follow us on Bluesky at @wikioftheday.com.Also check out Curmudgeon's Corner, a current events podcast.Until next time, I'm standard Ivy.

This is a recap of the top 10 posts on Hacker News on October 31, 2025. This podcast was generated by wondercraft.ai (00:30): Attention lapses due to sleep deprivation due to flushing fluid from brainOriginal post: https://news.ycombinator.com/item?id=45771636&utm_source=wondercraft_ai(01:53): John Carmack on mutable variablesOriginal post: https://news.ycombinator.com/item?id=45767725&utm_source=wondercraft_ai(03:17): How OpenAI uses complex and circular deals to fuel its multibillion-dollar riseOriginal post: https://news.ycombinator.com/item?id=45771538&utm_source=wondercraft_ai(04:40): Futurelock: A subtle risk in async RustOriginal post: https://news.ycombinator.com/item?id=45774086&utm_source=wondercraft_ai(06:04): AMD could enter ARM market with Sound Wave APU built on TSMC 3nm processOriginal post: https://news.ycombinator.com/item?id=45767916&utm_source=wondercraft_ai(07:27): Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptopOriginal post: https://news.ycombinator.com/item?id=45771870&utm_source=wondercraft_ai(08:51): Show HN: Strange AttractorsOriginal post: https://news.ycombinator.com/item?id=45777810&utm_source=wondercraft_ai(10:14): Just use a buttonOriginal post: https://news.ycombinator.com/item?id=45774182&utm_source=wondercraft_ai(11:38): Another European agency shifts off US Tech as digital sovereignty gains steamOriginal post: https://news.ycombinator.com/item?id=45773974&utm_source=wondercraft_ai(13:01): Addiction MarketsOriginal post: https://news.ycombinator.com/item?id=45774640&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Unisciti alla ribellione su Telegram – Iscriviti alla newsletter – Supportaci su Patreon La telecamera è la cosa più importante in un videogioco. Anzi, la telecamera è la cosa più importante nel videogioco inteso come medium, perché seguendo la sua evoluzione si segue quella dei videogiochi stessi. Prima era tutto una sitcom a camera fissa, e infatti i livelli si chiamavano “quadri” e “schermate”. Per un bel po' rimarrà. Le console hanno abbastanza potenza di calcolo per fare in modo che quando Super Mario fa un passo verso destra l'inquadratura si sposti con lui, ma solo le console. Ad un certo punto Prometeo, nella persona di John Carmack, ruba il fuoco agli Dei e capisce come fare la stessa cosa anche su PC. Gli Dei lo mandano in culo, quando osa proporgli di portare Super Mario Bros. 3 su PC, ma da quel fanculo nascono Commander Keen e soprattutto id Software. Succede la stessa cosa quando si decide che il videogioco può diventare 3D, forse deve diventare 3D. In Super Mario 64 per spiegare il concetto ai giocatori venuti su a pane e SNES si introduce proprio fisicamente un cameraman: usi il secondo d-pad del peggior controller di sempre per dargli gli ordini e lui esegue aggiustando l'inquadratura a tuo piacimento. Ci vorrà una vita prima di riuscire a capire come fare questa cosa per bene. In quella vita, succede più o meno quello che ti racconta questo episodio del podcast videoludicamente scorretto.

This is a recap of the top 10 posts on Hacker News on August 29, 2025. This podcast was generated by wondercraft.ai (00:30): Updates to Consumer Terms and Privacy PolicyOriginal post: https://news.ycombinator.com/item?id=45062683&utm_source=wondercraft_ai(01:57): Do the simplest thing that could possibly workOriginal post: https://news.ycombinator.com/item?id=45068091&utm_source=wondercraft_ai(03:24): Tesla said it didn't have key data in a fatal crash, then a hacker found itOriginal post: https://news.ycombinator.com/item?id=45062614&utm_source=wondercraft_ai(04:51): Some users have noticed settings that let Meta analyze and retain phone photosOriginal post: https://news.ycombinator.com/item?id=45062910&utm_source=wondercraft_ai(06:19): Claude Sonnet will ship in XcodeOriginal post: https://news.ycombinator.com/item?id=45058688&utm_source=wondercraft_ai(07:46): The Synology End GameOriginal post: https://news.ycombinator.com/item?id=45060920&utm_source=wondercraft_ai(09:13): Grok Code Fast 1Original post: https://news.ycombinator.com/item?id=45063559&utm_source=wondercraft_ai(10:40): If you have a Claude account, they're going to train on your data moving forwardOriginal post: https://news.ycombinator.com/item?id=45062738&utm_source=wondercraft_ai(12:08): The web does not need gatekeepers: Cloudflare's new “signed agents” pitchOriginal post: https://news.ycombinator.com/item?id=45066258&utm_source=wondercraft_ai(13:35): John Carmack's arguments against building a custom XR OS at MetaOriginal post: https://news.ycombinator.com/item?id=45066395&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

TCW Podcast Episode 238 - Quake   We dive into the development of Quake, the ambitious and turbulent follow-up to Doom from ID Software. John Carmack set out to build a groundbreaking engine featuring full 3D rendering, dynamic lighting, and client-server multiplayer. This pushed the technical boundaries in a pre-GPU world. To achieve this, he brought in legendary programmer Michael Abrash from Microsoft, selling him on the vision of Quake as a step toward the metaverse as imagined in Snow Crash. Meanwhile, John Romero envisioned Quake as a fantasy RPG inspired by a character from his D&D campaign, but lack of direction and his growing obsession with Deathmatch led to team frustration and eventual fallout. The result was a game that redefined first-person shooters and laid the groundwork for decades of engine development. It also marked the end of an era at ID with the ouster of John Romero.   TCW 030 - DOOM!: https://podcast.theycreateworlds.com/e/doom-1479057917/ TCW 197 - The ID of Game Development: https://podcast.theycreateworlds.com/e/the-id-of-game-development/ Doom States and DeHackEd: https://www.youtube.com/watch?v=MTa3diypjv4 P2P vs Dedicated Servers?: https://www.youtube.com/watch?v=Tt3ZLHKcP2U Token Ring - The Betamax of Networking: https://www.youtube.com/watch?v=IjLctlmZSp4 Artie - The Strongest Man In the World: https://www.youtube.com/watch?v=z6Bh3LskNbs Space Strike (DOS): https://www.youtube.com/watch?v=vtDdEuKFQps Cosmic Crusader (DOS): https://www.youtube.com/watch?v=RKOTa5iQAw8 Big Top (DOS): https://www.youtube.com/watch?v=AXUCacgF72M Snack Attack II (DOS): https://www.youtube.com/watch?v=hu-SEjcnnjo So You Haven't Read "Snow Crash": https://www.youtube.com/watch?v=nO64ZhBYy9E Ramblings in Realtime by Michael Abrash: https://www.bluesnews.com/abrash/ QuakeWorld Launch Event: https://www.youtube.com/watch?v=LXw6BkZ-gdY Quake (DOS 6.22): https://www.youtube.com/watch?v=tyLC1vR9oGk Quake Longplay: https://www.youtube.com/watch?v=J7GagGXXUtI Excerpt Quake Postmortem: https://www.youtube.com/watch?v=G2OE-74bTQw   New episodes are on the 1st and 15th of every month!   TCW Email: feedback@theycreateworlds.com  Twitter: @tcwpodcast Patreon: https://www.patreon.com/theycreateworlds Alex's Video Game History Blog: http://videogamehistorian.wordpress.com Alex's book, published Dec 2019, is available at CRC Press and at major on-line retailers: http://bit.ly/TCWBOOK1     Intro Music: Josh Woodward - Airplane Mode -  Music - "Airplane Mode" by Josh Woodward. Free download: http://joshwoodward.com/song/AirplaneMode  Outro Music: RoleMusic - Bacterial Love: http://freemusicarchive.org/music/Rolemusic/Pop_Singles_Compilation_2014/01_rolemusic_-_bacterial_love    Copyright: Attribution: http://creativecommons.org/licenses/by/4.0/

In the first episode of a new series, Tyler tells Dachz stories of the people who founded id Software, including tales of industry legends John Romero and John Carmack, and the circumstances that brought them together. Slides for this episode are available at: https://docs.google.com/presentation/d/112baWGctB-5XTmyIkHZBg74jMWJnOtkCJpyg1HTNxEo/ Sources for this episode are available at: https://docs.google.com/document/d/1Kensnr9yXmavic2k_ckFAE2fQKP416tiAutp0H4Sx18/

[ Vota Atariteca tramite la app di Spotify ] Quando ti chiami John Carmack e sei convinto che DOOM III rivoluzionerà la saga, il genere, la classifica di 4 Hotel#doom3 #doom #idsoftware #johncarmack #retrogamingSe desiderate supportarmi: https://ko-fi.com/ataritecapodcastIl gruppo Telegram del Vintage People NetworkIl canale YouTube dei Vintage People La sigla di Atariteca è stata gentilmente offerta da BluefixxerPer tutto il resto c'è il sito di ATARITECA### CONTRIBUISCI ALL'ATARITECA ###### ISCRIVITI ###Omone su InstagramSpreakeriTunesYoutube MusicSpotifyFeed

ESCUCHA EL CONTENIDO EXCLUSIVO PARA LOS SUSCRIPTORES DEL SPREAKER CLUB, AQUÍ

[ Vota Atariteca tramite la app di Spotify ] Quando ti chiami John Carmack e sei convinto che DOOM III rivoluzionerà la saga, il genere, la classifica di 4 Hotel#doom3 #doom #idsoftware #johncarmack #retrogamingSe desiderate supportarmi: https://ko-fi.com/ataritecapodcastIl gruppo Telegram del Vintage People NetworkIl canale YouTube dei Vintage People La sigla di Atariteca è stata gentilmente offerta da BluefixxerPer tutto il resto c'è il sito di ATARITECA### CONTRIBUISCI ALL'ATARITECA ###### ISCRIVITI ###Omone su InstagramSpreakeriTunesYoutube MusicSpotifyFeed

Original text by Jim Black. Previous John Carmack episode: The Steve Jobs Rollercoaster. Peter Graffagnino's appearance at NeXTEVNT 2015. Peter is interviewed by fellow Pixar veteran Michael Johnson. Some of the original Mac team demonstrating Steve Jobs' favourite hand gesture (scroll down). John Carmack's appearance at Macworld San Francisco 1999. “The only thing you want to do with the Mac as a serious gamer is you wanna pull out the silly one button mouse and plug in a three button mouse pretty quick.” Steve Jobs Deer Hunter quote from Macworld New York 1998.

Tim Sweeney is a legendary video game programmer, founder and CEO of Epic Games that created the Unreal Engine, Fortnite, Gears of War, Unreal Tournament, and many other groundbreaking and influential video games. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep467-sc See below for timestamps, and to give feedback, submit questions, contact Lex, etc. CONTACT LEX: Feedback - give feedback to Lex: https://lexfridman.com/survey AMA - submit questions, videos or call-in: https://lexfridman.com/ama Hiring - join our team: https://lexfridman.com/hiring Other - other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Tim's X: https://x.com/timsweeneyepic Epic Games: https://epicgames.com/ SPONSORS: To support this podcast, check out our sponsors & get discounts: Notion: Note-taking and team collaboration. Go to https://notion.com/lex MasterClass: Online classes from world-class experts. Go to https://masterclass.com/lexpod Shopify: Sell stuff online. Go to https://shopify.com/lex AG1: All-in-one daily nutrition drink. Go to https://drinkag1.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex OUTLINE: (00:00) - Introduction (08:25) - 10,000 hours programming (11:42) - Advice for young programmers (19:54) - Video games in the 80s and 90s (22:02) - Epic Games origin story (34:40) - Indie game development (40:34) - Unreal Engine (1:06:30) - Technical details of Unreal Engine (1:11:23) - Constructive solid geometry (1:17:21) - Dynamic lighting (1:21:51) - Volumetric fog (1:25:19) - John Carmack (1:27:05) - Evolution of Unreal Engine (1:33:21) - Unreal Engine 5 (1:44:32) - Creating realistic humans (1:53:41) - Lumen global illumination (1:58:11) - Movies (2:12:53) - Simulating reality (2:25:08) - Metaverse (2:27:44) - Fortnite (2:31:40) - Scaling (2:47:04) - Game economies (2:48:33) - Standardizing the Metaverse (2:56:46) - Verse programming language (3:18:19) - Concurrency (3:25:56) - Unreal Engine 6 (3:30:34) - Indie game developers (3:33:32) - Apple (3:48:12) - Epic Games Store (4:11:03) - Future of gaming (4:17:03) - Greatest games ever made (4:22:39) - GTA 6 and Rockstar Games (4:25:58) - Hope for the future PODCAST LINKS: - Podcast Website: https://lexfridman.com/podcast - Apple Podcasts: https://apple.co/2lwqZIr - Spotify: https://spoti.fi/2nEwCF8 - RSS: https://lexfridman.com/feed/podcast/ - Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 - Clips Channel: https://www.youtube.com/lexclips SOCIAL LINKS: - X: https://x.com/lexfridman - Instagram: https://instagram.com/lexfridman - TikTok: https://tiktok.com/@lexfridman - LinkedIn: https://linkedin.com/in/lexfridman - Facebook: https://facebook.com/lexfridman - Patreon: https://patreon.com/lexfridman - Telegram: https://t.me/lexfridman - Reddit: https://reddit.com/r/lexfridman

We're joined by legendary game developer American McGee, who takes us on a journey from his humble beginnings on the Timex Sinclair and Commodore 64 to designing iconic levels for Doom II and Quake. He shares behind-the-scenes stories from iD Software, reveals how a Ferrari-driving neighbour turned out to be John Carmack, and discusses the gothic inspirations behind American McGee's Alice. Plus, we hear about his time at EA, and why being fired from iD turned out to be one of the best things that ever happened to him! Contents: 00:00 - The Week's Retro News Stories  35:28 - American McGee Interview Please visit our amazing sponsors and help to support the show: Bitmap Books - https://www.bitmapbooks.com Take your business to the next level today and enjoy 3 months of Shopify for £1/month: https://shopify.co.uk/retrohour The Retro Hour Book: https://retrohour.myshopify.com/ We need your help to ensure the future of the podcast, if you'd like to help us with running costs, equipment and hosting, please consider supporting us on Patreon: https://theretrohour.com/support/ https://www.patreon.com/retrohour Get your Retro Hour merchandise: https://bit.ly/33OWBKd Join our Discord channel: https://discord.gg/GQw8qp8 Website: http://theretrohour.com Facebook: https://www.facebook.com/theretrohour/ X: https://twitter.com/retrohouruk Instagram: https://www.instagram.com/retrohouruk/ Bluesky: https://bsky.app/profile/theretrohour.com Twitch: https://www.twitch.tv/theretrohour Show notes YouTube Turns 20: https://tinyurl.com/mrx88ybs Windows on Game Boy: https://tinyurl.com/25mkwpdp OutRun the Movie: https://tinyurl.com/5n6r8ntk Neon Hearts City: https://tinyurl.com/yvezebcn Upcoming events RetCon 2025 – https://retconfestival.co.uk/ PT1210 – https://www.ptweekender.com/ RetroMessa – https://www.retromessa.no/

Google's AI efforts & Gemini Pro 2.5 take a major step forward with updates to Deep Research, new Agent2Agent protocol (A2A) & more. Sadly, OpenAI teases o3 and o4 but delays GPT-5.  Plus, Meta's new Llama 4 models are out but have issues, Midjourney v7's debut, John Carmack's smackdown of an AI video game engine hater, Gavin's deep dive into OpenAI 4o Image Generation formats & the weirdest robot horse concept you've ever seen.  WE'RE DEEP RESEARCHING OUR ENTIRE LIVES RIGHT NOW  Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // Google Cloud 25 Live Stream “A New Way To Cloud!” https://youtu.be/Md4Fs-Zc3tg Google Cloud Blog Post https://blog.google/products/google-cloud/next-2025/ Upgraded Deep Research Out Preforms OpenAI Deep Research https://x.com/GeminiApp/status/1909721519724339226 Google's Deep Research Vs OpenAI Deep Research https://x.com/testingcatalog/status/1909727195402027183 New Ironwood TPUs https://blog.google/products/google-cloud/ironwood-tpu-age-of-inference/ Gavin's Experiences Google Gemini Deep Research: Baltro Test: https://x.com/AIForHumansShow/status/1909813850817675424 KP Biography: https://g.co/gemini/share/7b7bdb2c400e Agent2Agent Protocol https://developers.googleblog.com/en/a2a-a-new-era-of-agent-interoperability/ Google Paying Some AI Stuff To Do Nothing Rather Than Work For Rivals https://x.com/TechCrunch/status/1909368948862181584 Solar Glow Meditations on AI http://tiktok.com/@solarglowmeditations/video/7491038509214518559?_t=ZT-8vNNgF7QpyM&_r=1 o4-mini & o3 coming before GPT-5 in shift from Sam Altman https://x.com/sama/status/1908167621624856998 OpenAI Strategic Deployment Team (new role to prep for AGI) https://x.com/aleks_madry/status/1909686225658695897 AI 2027 Paper https://ai-2027.com/ Llama 4 is here… but how good is it? https://ai.meta.com/blog/llama-4-multimodal-intelligence/ Controversy Around Benchmarks: https://gizmodo.com/meta-cheated-on-ai-benchmarks-and-its-a-glimpse-into-a-new-golden-age-2000586433 Deep dive on issues from The Information  https://www.theinformation.com/articles/llama-4s-rocky-debut?rc=c3oojq&shared=3bbd9f72303888e2 Midjourney v7 Is Here and it's… just ok? https://www.midjourney.com/updates/v7-alpha John Carmack Defends AI Video Games https://x.com/ID_AA_Carmack/status/1909311174845329874 Tim Sweeney Weighs In https://x.com/TimSweeneyEpic/status/1909314230391902611 New Test-time-training = 1 Min AI Video From a Single Prompt https://x.com/karansdalal/status/1909312851795411093 Kawasaki's Robot Horse Concept https://futurism.com/the-byte/kawasaki-rideable-horse-robot VIDEO: https://youtu.be/vQDhzbTz-9k?si=2aWMtZVLnMONEjBe Engine AI + iShowSpeed https://x.com/engineairobot/status/1908570512906740037 Gemini 2.5 Pro Plays Pokemon https://x.com/kiranvodrahalli/status/1909699142265557208 Prompt-To-Anything Minecraft Looking Game  https://x.com/NicolasZu/status/1908882267453239323 An Image That Will Never Go Viral https://www.reddit.com/r/ChatGPT/comments/1jth5yf/asked_for_an_image_that_will_never_go_viral/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button How Toothpaste Is Made https://www.reddit.com/r/aivideo/comments/1jujzh2/how_toothpaste_is_made/ 90s Video Game 4o Image Gen Prompt https://x.com/AIForHumansShow/status/1908985288116101553 1980s Japanese Posters https://x.com/AIForHumansShow/status/1909824824677192140 Buff Superbad  https://x.com/AIForHumansShow/status/1909402225488937065  

Introducing the Windows 11 Feature Tracker "From the 'I should have done this two years ago' files, the 'I have wasted my life' files, and the, 'great, I needed more work to do' files ... There is a need for this. So I made one. But it will evolve. Maybe into a web app/wiki/something else... like a Notion website?" - Paul Patch Tuesday brings a metric ton of new features - And what the tracker showed clearly Two seconds after posting the tracker, Microsoft changed the Copilot app yet again - proving the need for the tracker - And demonstrating why the Insider Program is so screwed up A hidden new Start menu in recent builds presents an interesting conundrum: How to handle something Microsoft has not announced? More Windows 11 Beta build for 23H2: File new tab/new window changes, Explorer context menu regression may be permanent Dev and Beta (24H2): Taskbar icon scaling is a blast from the past we all need desperately Intel is killing Unison app and service Like winter, Build is coming Build session catalog is live - mostly AI as expected. Paul and Richard are going Overview of the Windows Copilot Runtime (one year after it was announced), Windows Actions, standard Kayla Cinnamon talk on Windows productivity, using your own model with WCR, native app experiences(!), Arm64 app perf, etc. AI Final thoughts on Microsoft's 50th: Biggest accomplishment wasn't any tech, it was changing with the times. What it's best at: Democratizing tech for the commoners, an expansion on Jack Tramiel/Commodore's "computers for the masses, not the classes" schtick. And that is exactly what it is doing with AI right now Microsoft hosts a consumer AI event and announces a metric ton of new Copilot features We need a Copilot feature tracker. Copilot = every single feature other AIs have - Copilot Actions on the web, memory and personalization, Copilot Vision on mobile and Windows, AI-generated podcasts and Microsoft releases Copilot Search in Bing Is AI turning us all into Charly from Flowers for Algernon? AI is making us stupider! There are studies!! This is the argument against every single tech advance from the steam train to the ballpoint pen to this Microsoft's AI demo of vibe-coded Quake II highlights the problem nicely Sometimes it's the little things: AI recaps for book series in Kindle GitHub Copilot updated with Agent Mode, Cursor-style code overviews, more Xbox & gaming Microsoft announces new Xbox Games Showcase for June Edge Game Assist gets new features, support for new games GTA V and enhanced version for PC coming to Game Pass on April 15 - In addition to the previous Game Pass titles we discussed last week Good: Nintendo Switch 2 supports ray tracing and DLSS Bad: Nintendo delays Switch 2 to figure out the tariffs mess Tips and Picks Tip of the week: Programmers at Work App pick of the week: Apple Music RunAs Radio this week: Application Risk in Security Copilot with Ari Schorr Brown liquor pick of the week: The Heart Cut #02 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/927 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell

Introducing the Windows 11 Feature Tracker "From the 'I should have done this two years ago' files, the 'I have wasted my life' files, and the, 'great, I needed more work to do' files ... There is a need for this. So I made one. But it will evolve. Maybe into a web app/wiki/something else... like a Notion website?" - Paul Patch Tuesday brings a metric ton of new features - And what the tracker showed clearly Two seconds after posting the tracker, Microsoft changed the Copilot app yet again - proving the need for the tracker - And demonstrating why the Insider Program is so screwed up A hidden new Start menu in recent builds presents an interesting conundrum: How to handle something Microsoft has not announced? More Windows 11 Beta build for 23H2: File new tab/new window changes, Explorer context menu regression may be permanent Dev and Beta (24H2): Taskbar icon scaling is a blast from the past we all need desperately Intel is killing Unison app and service Like winter, Build is coming Build session catalog is live - mostly AI as expected. Paul and Richard are going Overview of the Windows Copilot Runtime (one year after it was announced), Windows Actions, standard Kayla Cinnamon talk on Windows productivity, using your own model with WCR, native app experiences(!), Arm64 app perf, etc. AI Final thoughts on Microsoft's 50th: Biggest accomplishment wasn't any tech, it was changing with the times. What it's best at: Democratizing tech for the commoners, an expansion on Jack Tramiel/Commodore's "computers for the masses, not the classes" schtick. And that is exactly what it is doing with AI right now Microsoft hosts a consumer AI event and announces a metric ton of new Copilot features We need a Copilot feature tracker. Copilot = every single feature other AIs have - Copilot Actions on the web, memory and personalization, Copilot Vision on mobile and Windows, AI-generated podcasts and Microsoft releases Copilot Search in Bing Is AI turning us all into Charly from Flowers for Algernon? AI is making us stupider! There are studies!! This is the argument against every single tech advance from the steam train to the ballpoint pen to this Microsoft's AI demo of vibe-coded Quake II highlights the problem nicely Sometimes it's the little things: AI recaps for book series in Kindle GitHub Copilot updated with Agent Mode, Cursor-style code overviews, more Xbox & gaming Microsoft announces new Xbox Games Showcase for June Edge Game Assist gets new features, support for new games GTA V and enhanced version for PC coming to Game Pass on April 15 - In addition to the previous Game Pass titles we discussed last week Good: Nintendo Switch 2 supports ray tracing and DLSS Bad: Nintendo delays Switch 2 to figure out the tariffs mess Tips and Picks Tip of the week: Programmers at Work App pick of the week: Apple Music RunAs Radio this week: Application Risk in Security Copilot with Ari Schorr Brown liquor pick of the week: The Heart Cut #02 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/927 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell

Introducing the Windows 11 Feature Tracker "From the 'I should have done this two years ago' files, the 'I have wasted my life' files, and the, 'great, I needed more work to do' files ... There is a need for this. So I made one. But it will evolve. Maybe into a web app/wiki/something else... like a Notion website?" - Paul Patch Tuesday brings a metric ton of new features - And what the tracker showed clearly Two seconds after posting the tracker, Microsoft changed the Copilot app yet again - proving the need for the tracker - And demonstrating why the Insider Program is so screwed up A hidden new Start menu in recent builds presents an interesting conundrum: How to handle something Microsoft has not announced? More Windows 11 Beta build for 23H2: File new tab/new window changes, Explorer context menu regression may be permanent Dev and Beta (24H2): Taskbar icon scaling is a blast from the past we all need desperately Intel is killing Unison app and service Like winter, Build is coming Build session catalog is live - mostly AI as expected. Paul and Richard are going Overview of the Windows Copilot Runtime (one year after it was announced), Windows Actions, standard Kayla Cinnamon talk on Windows productivity, using your own model with WCR, native app experiences(!), Arm64 app perf, etc. AI Final thoughts on Microsoft's 50th: Biggest accomplishment wasn't any tech, it was changing with the times. What it's best at: Democratizing tech for the commoners, an expansion on Jack Tramiel/Commodore's "computers for the masses, not the classes" schtick. And that is exactly what it is doing with AI right now Microsoft hosts a consumer AI event and announces a metric ton of new Copilot features We need a Copilot feature tracker. Copilot = every single feature other AIs have - Copilot Actions on the web, memory and personalization, Copilot Vision on mobile and Windows, AI-generated podcasts and Microsoft releases Copilot Search in Bing Is AI turning us all into Charly from Flowers for Algernon? AI is making us stupider! There are studies!! This is the argument against every single tech advance from the steam train to the ballpoint pen to this Microsoft's AI demo of vibe-coded Quake II highlights the problem nicely Sometimes it's the little things: AI recaps for book series in Kindle GitHub Copilot updated with Agent Mode, Cursor-style code overviews, more Xbox & gaming Microsoft announces new Xbox Games Showcase for June Edge Game Assist gets new features, support for new games GTA V and enhanced version for PC coming to Game Pass on April 15 - In addition to the previous Game Pass titles we discussed last week Good: Nintendo Switch 2 supports ray tracing and DLSS Bad: Nintendo delays Switch 2 to figure out the tariffs mess Tips and Picks Tip of the week: Programmers at Work App pick of the week: Apple Music RunAs Radio this week: Application Risk in Security Copilot with Ari Schorr Brown liquor pick of the week: The Heart Cut #02 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/927 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell

Introducing the Windows 11 Feature Tracker "From the 'I should have done this two years ago' files, the 'I have wasted my life' files, and the, 'great, I needed more work to do' files ... There is a need for this. So I made one. But it will evolve. Maybe into a web app/wiki/something else... like a Notion website?" - Paul Patch Tuesday brings a metric ton of new features - And what the tracker showed clearly Two seconds after posting the tracker, Microsoft changed the Copilot app yet again - proving the need for the tracker - And demonstrating why the Insider Program is so screwed up A hidden new Start menu in recent builds presents an interesting conundrum: How to handle something Microsoft has not announced? More Windows 11 Beta build for 23H2: File new tab/new window changes, Explorer context menu regression may be permanent Dev and Beta (24H2): Taskbar icon scaling is a blast from the past we all need desperately Intel is killing Unison app and service Like winter, Build is coming Build session catalog is live - mostly AI as expected. Paul and Richard are going Overview of the Windows Copilot Runtime (one year after it was announced), Windows Actions, standard Kayla Cinnamon talk on Windows productivity, using your own model with WCR, native app experiences(!), Arm64 app perf, etc. AI Final thoughts on Microsoft's 50th: Biggest accomplishment wasn't any tech, it was changing with the times. What it's best at: Democratizing tech for the commoners, an expansion on Jack Tramiel/Commodore's "computers for the masses, not the classes" schtick. And that is exactly what it is doing with AI right now Microsoft hosts a consumer AI event and announces a metric ton of new Copilot features We need a Copilot feature tracker. Copilot = every single feature other AIs have - Copilot Actions on the web, memory and personalization, Copilot Vision on mobile and Windows, AI-generated podcasts and Microsoft releases Copilot Search in Bing Is AI turning us all into Charly from Flowers for Algernon? AI is making us stupider! There are studies!! This is the argument against every single tech advance from the steam train to the ballpoint pen to this Microsoft's AI demo of vibe-coded Quake II highlights the problem nicely Sometimes it's the little things: AI recaps for book series in Kindle GitHub Copilot updated with Agent Mode, Cursor-style code overviews, more Xbox & gaming Microsoft announces new Xbox Games Showcase for June Edge Game Assist gets new features, support for new games GTA V and enhanced version for PC coming to Game Pass on April 15 - In addition to the previous Game Pass titles we discussed last week Good: Nintendo Switch 2 supports ray tracing and DLSS Bad: Nintendo delays Switch 2 to figure out the tariffs mess Tips and Picks Tip of the week: Programmers at Work App pick of the week: Apple Music RunAs Radio this week: Application Risk in Security Copilot with Ari Schorr Brown liquor pick of the week: The Heart Cut #02 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/927 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell

Introducing the Windows 11 Feature Tracker "From the 'I should have done this two years ago' files, the 'I have wasted my life' files, and the, 'great, I needed more work to do' files ... There is a need for this. So I made one. But it will evolve. Maybe into a web app/wiki/something else... like a Notion website?" - Paul Patch Tuesday brings a metric ton of new features - And what the tracker showed clearly Two seconds after posting the tracker, Microsoft changed the Copilot app yet again - proving the need for the tracker - And demonstrating why the Insider Program is so screwed up A hidden new Start menu in recent builds presents an interesting conundrum: How to handle something Microsoft has not announced? More Windows 11 Beta build for 23H2: File new tab/new window changes, Explorer context menu regression may be permanent Dev and Beta (24H2): Taskbar icon scaling is a blast from the past we all need desperately Intel is killing Unison app and service Like winter, Build is coming Build session catalog is live - mostly AI as expected. Paul and Richard are going Overview of the Windows Copilot Runtime (one year after it was announced), Windows Actions, standard Kayla Cinnamon talk on Windows productivity, using your own model with WCR, native app experiences(!), Arm64 app perf, etc. AI Final thoughts on Microsoft's 50th: Biggest accomplishment wasn't any tech, it was changing with the times. What it's best at: Democratizing tech for the commoners, an expansion on Jack Tramiel/Commodore's "computers for the masses, not the classes" schtick. And that is exactly what it is doing with AI right now Microsoft hosts a consumer AI event and announces a metric ton of new Copilot features We need a Copilot feature tracker. Copilot = every single feature other AIs have - Copilot Actions on the web, memory and personalization, Copilot Vision on mobile and Windows, AI-generated podcasts and Microsoft releases Copilot Search in Bing Is AI turning us all into Charly from Flowers for Algernon? AI is making us stupider! There are studies!! This is the argument against every single tech advance from the steam train to the ballpoint pen to this Microsoft's AI demo of vibe-coded Quake II highlights the problem nicely Sometimes it's the little things: AI recaps for book series in Kindle GitHub Copilot updated with Agent Mode, Cursor-style code overviews, more Xbox & gaming Microsoft announces new Xbox Games Showcase for June Edge Game Assist gets new features, support for new games GTA V and enhanced version for PC coming to Game Pass on April 15 - In addition to the previous Game Pass titles we discussed last week Good: Nintendo Switch 2 supports ray tracing and DLSS Bad: Nintendo delays Switch 2 to figure out the tariffs mess Tips and Picks Tip of the week: Programmers at Work App pick of the week: Apple Music RunAs Radio this week: Application Risk in Security Copilot with Ari Schorr Brown liquor pick of the week: The Heart Cut #02 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/927 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell

Introducing the Windows 11 Feature Tracker "From the 'I should have done this two years ago' files, the 'I have wasted my life' files, and the, 'great, I needed more work to do' files ... There is a need for this. So I made one. But it will evolve. Maybe into a web app/wiki/something else... like a Notion website?" - Paul Patch Tuesday brings a metric ton of new features - And what the tracker showed clearly Two seconds after posting the tracker, Microsoft changed the Copilot app yet again - proving the need for the tracker - And demonstrating why the Insider Program is so screwed up A hidden new Start menu in recent builds presents an interesting conundrum: How to handle something Microsoft has not announced? More Windows 11 Beta build for 23H2: File new tab/new window changes, Explorer context menu regression may be permanent Dev and Beta (24H2): Taskbar icon scaling is a blast from the past we all need desperately Intel is killing Unison app and service Like winter, Build is coming Build session catalog is live - mostly AI as expected. Paul and Richard are going Overview of the Windows Copilot Runtime (one year after it was announced), Windows Actions, standard Kayla Cinnamon talk on Windows productivity, using your own model with WCR, native app experiences(!), Arm64 app perf, etc. AI Final thoughts on Microsoft's 50th: Biggest accomplishment wasn't any tech, it was changing with the times. What it's best at: Democratizing tech for the commoners, an expansion on Jack Tramiel/Commodore's "computers for the masses, not the classes" schtick. And that is exactly what it is doing with AI right now Microsoft hosts a consumer AI event and announces a metric ton of new Copilot features We need a Copilot feature tracker. Copilot = every single feature other AIs have - Copilot Actions on the web, memory and personalization, Copilot Vision on mobile and Windows, AI-generated podcasts and Microsoft releases Copilot Search in Bing Is AI turning us all into Charly from Flowers for Algernon? AI is making us stupider! There are studies!! This is the argument against every single tech advance from the steam train to the ballpoint pen to this Microsoft's AI demo of vibe-coded Quake II highlights the problem nicely Sometimes it's the little things: AI recaps for book series in Kindle GitHub Copilot updated with Agent Mode, Cursor-style code overviews, more Xbox & gaming Microsoft announces new Xbox Games Showcase for June Edge Game Assist gets new features, support for new games GTA V and enhanced version for PC coming to Game Pass on April 15 - In addition to the previous Game Pass titles we discussed last week Good: Nintendo Switch 2 supports ray tracing and DLSS Bad: Nintendo delays Switch 2 to figure out the tariffs mess Tips and Picks Tip of the week: Programmers at Work App pick of the week: Apple Music RunAs Radio this week: Application Risk in Security Copilot with Ari Schorr Brown liquor pick of the week: The Heart Cut #02 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/927 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell

If you're in SF: Join us for the Claude Plays Pokemon hackathon this Sunday!If you're not: Fill out the 2025 State of AI Eng survey for $250 in Amazon cards!Unsupervised Learning is a podcast that interviews the sharpest minds in AI about what's real today, what will be real in the future and what it means for businesses and the world - helping builders, researchers and founders deconstruct and understand the biggest breakthroughs. Top guests: Noam Shazeer, Bob McGrew, Noam Brown, Dylan Patel, Percy Liang, David LuanFull Episode on Their YouTubeTimestamps* 00:00 Introduction and Excitement for Collaboration* 00:27 Reflecting on Surprises in AI Over the Past Year* 01:44 Open Source Models and Their Adoption* 06:01 The Rise of GPT Wrappers* 06:55 AI Builders and Low-Code Platforms* 09:35 Overhyped and Underhyped AI Trends* 22:17 Product Market Fit in AI* 28:23 Google's Current Momentum* 28:33 Customer Support and AI* 29:54 AI's Impact on Cost and Growth* 31:05 Voice AI and Scheduling* 32:59 Emerging AI Applications* 34:12 Education and AI* 36:34 Defensibility in AI Applications* 40:10 Infrastructure and AI* 47:08 Challenges and Future of AI* 52:15 Quick Fire Round and Closing RemarksTranscript[00:00:00] Introduction and Podcast Overview[00:00:00] Jacob: well, thanks so much for doing this, guys. I feel like we've we've been excited to do a collab for a while. I[00:00:13] swyx: love crossovers. Yeah. Yeah. This, this is great. Like the ultimate meta about just podcasters talking to other podcasters. Yeah. It's a lot. Podcasts all the way up.[00:00:21] Jacob: I figured we'd have a pretty free ranging conversation today but brought a few conversation starters to, to, to kick us off.[00:00:27] Reflecting on AI Surprises and Trends[00:00:27] Jacob: And so I figured one interesting place to start is you know, obviously it feels that this world is changing like every few months. Wondering as you guys reflect path on the past year, like what surprised you the most?[00:00:36] Alessio: I think definitely recently models we kinda on the, on the right here. Like, oh, that, well, I, I I think there's, there's like the, what surprised us in a good way.[00:00:44] May maybe in a, in a bad way. I would say in a good way. Recently models and I think the release of them right after the new reps scaling instead talked by Ilia. I think there was maybe like a, a little. It's so over and then we're so back. I'm like such a short, short period. It was really [00:01:00] fortuitous[00:01:00] Jacob: timing though, like right.[00:01:01] As pre-training died, I mean, obviously I'm sure within the labs they knew pre-training was dying and had to find something. But you know, from the outside it was it, it felt like one right into the other.[00:01:09] Alessio: Yeah. Yeah, exactly. So that, that was a good surprise,[00:01:12] swyx: I would say, if you wanna make that comment about timing, I think it's suspiciously neat that like, because we know that Strawberry was being worked on for like two years-ish.[00:01:20] Like, and we know exactly when Nome joined OpenAI, and that was obviously a big strategic bet by OpenAI. So like, for it to transition, so transition so nicely when like, pre-training is kind of tapped out to, into like, oh, now inference time is, is the new scaling law is like conv very convenient. I, I, I like if there were an Illuminati, this would be what they planned.[00:01:41] Or if we're living in a simulation or something. Yeah.[00:01:44] Open Source Models and Their Impact[00:01:44] swyx: Then you said open source[00:01:45] Alessio: as well? Yeah. Well, no, I, I think like open source. Yeah. We're discussing this on the negative. I would say the relevance of open source. I would specifically open models. Yeah, I was surprised the lack, like the llamas of the world by the lack of adoption.[00:01:56] And I mean, people use it obviously, but I would say nobody's [00:02:00] really like a huge fanboy, you know, I think the local llama community and some of the more obvious use cases really like it. But when we talk to like enterprise folks, it's like, it's cool, you know? And I think people love to argue about licenses and all of that, but the reality is that it doesn't really change the adoption path of, of ai.[00:02:18] So[00:02:19] swyx: yeah, the specific stat that I got from on anchor from Braintrust mm-hmm. In one of the episodes that we did was I think he estimated that open source model usage in work in enterprises is that like 5% and going down.[00:02:31] Jacob: And it feels like you're basically all these enterprises are in like use case discovery mode, where it's like, let's just take what we think is the most powerful model and figure out if we can find anything that works.[00:02:39] And, you know, so much of, of, of it feels like discovery of that. And then, right, as you've discovered something, a new generation of models are out and so you have to go do discovery with those. And you know, I think obviously we're probably optimistic that the that the open source models increase in uptake.[00:02:50] It's funny, I was gonna say my biggest surprise in the last year was open source related, but it was just how Fast Open Source caught up on the reasoning models. It was kind of unclear to me, like over time whether there would be, you know, [00:03:00] a compounding advantage for some of the closed source models where in the, okay, in the early days of, of scaling you know, there was a, a tight time loop, but over time, you know, would would the gap increase?[00:03:08] And if anything it feels like a trunk. You know, and I think deep seek specifically was just really surprising in how, you know, in many ways if the value of these model companies is like you have a model for a period of time and you're the only one that can build products on top of that model while you have it.[00:03:21] Like, God, that time period is a lot shorter than a, than I thought it was gonna be a year ago.[00:03:25] swyx: Yeah. I mean, again, I I, I don't like this label of how Fast Open Source caught up because it's really how Fast Deepsea caught up. Right. And now we have, like, I think some of it is that Deepsea is basically gonna stop open sourcing models.[00:03:36] Yeah. So like there, there's no team open source, there's just different companies and they choose to open source or not. And we got lucky with deep seek releasing something and then everyone else is basically distilling from deep seek and those are distillations. Catching up is such an easier lower bar than like actually catching up, which is like you, you are like from scratch.[00:03:56] You're training something that like is competitive on that front. I don't know if [00:04:00] that's happening. Like basically the only player right now is we're waiting for LA four.[00:04:03] Jordan: I mean, it's always an order of magnitude cheaper to replicate what's already been done than to create something fundamentally new.[00:04:09] And so that's why I think deep seek overall was overhyped. Right? I mean obviously it's a good open source, new entrant, but at the same time there's nothing new fundamentally there other than sort of doing it executing what's already been done really well.[00:04:21] Alessio: Yeah,[00:04:21] Jordan: right.[00:04:21] Alessio: So Well, but I think the traces is like maybe the biggest thing, I think most previous open models is like the same model, just a little worse and cheaper.[00:04:30] Yeah. Like R one is like the first model that had the full traces. So I think that's like a net unique thing in fair, open source. But yeah, I, I think like we talked about deep seek in the our n of year 2023 recap, and we're mostly focused on cheaper inference. Like we didn't really have deep, see, deep CV three[00:04:47] swyx: was out then, and we were like, that was already like talking about fine green mixture of experts and all that.[00:04:51] Like that's a great receipt to[00:04:52] Jacob: have[00:04:52] swyx: to be like, yeah.[00:04:52] Jacob: End[00:04:53] swyx: of year 20. Yeah. That's a,[00:04:54] Jacob: that's a, that's, that's an[00:04:55] swyx: impressive one. You follow the right whale believers in Twitter. It's, it's like [00:05:00] pretty obvious. I actually had like so, you know, I used to be in finance and, and a lot, a lot of my hedge fund and PE friends called me up.[00:05:06] They were like, why didn't you tip us off on deep seek? And I'm like, well, I mean, it's been there. It's, it's actually like kind of surprising that like, Nvidia like fell like what, 15% in one day? Yeah. Because deep seek and I, I think it's just like whatever the market, public market narrative decides is a story, becomes the story, but really like the technical movements are usually.[00:05:26] One to two years in the making. Before that,[00:05:27] Jacob: basically these people were telling on themselves that they didn't listen to your podcast. They've been on the end of year 22, 3. No, no,[00:05:32] swyx: no. Like yeah, we weren't, we weren't like banging the drum. So like it's also on us to be like, no, like this. This is an actual tipping point.[00:05:38] And I think I like as people who are like, our function as podcasters and industry analysts is to raise the bar or focus attention on things that you think matter. And sometimes we're too passive about it. And I think I was too passive there. I'd be, I'd be happy to own up on that.[00:05:52] Jacob: No, I feel like over time you guys have moved into this margin general role of like taking stances of things that are or aren't important and, you know I feel like you've done that with MCP of [00:06:00] late and a bunch of[00:06:00] swyx: things.[00:06:00] Yeah.[00:06:01] Challenges and Opportunities in AI Engineering[00:06:01] swyx: So like the, the general pushes is AI engineering, you know, like it's gotta, gotta wrap the shirt. And MCP is part of that, but like the, the general movement is what can engineers do above the model layer to augment model capabilities. And it turns out it's a lot. And turns out we went from like, making fun of GPT rappers to now I think the overwhelming consensus GPT wrappers is the only thing that's interesting.[00:06:20] Yeah.[00:06:21] Jacob: I remember like, Arvin from Perplexity came on our podcast and he was like, I'm proudly a rapper. Like, you know, it's like anyone that's like talking about like, you know, differentiation, like pre-product market fit is like a ridiculous thing to, to say, like, build something people want and then yeah.[00:06:33] Over time you can kind of worry about that.[00:06:35] swyx: Yeah. I, I interviewed him in 2023 and I think he may have been the first person on our podcast to like, probably be a GBT rapper. Yeah. And yeah, and obviously he's built a huge business on that. Totally. Now, now we now we all can't get enough of it. I have another one for, Oh, nice.[00:06:47] That was Alessia's one and we, we perhaps individual answers just to be interesting in the same Uber on the way up. Yeah. You just like in the, in different Oh, I was driving too. Oh, you were driving. So I actually, I mean, it was a Tesla mostly drove mine was [00:07:00] actually, it is interesting that low-code builders did not capture the AI builder market.[00:07:04] Right. AI builders being bought lovable, low-code builders being Zapier, Airtable, retool notion. Any of those, like you're not technical. You can build software.[00:07:14] misc: Yeah.[00:07:14] swyx: Somehow not all them missed it. Why? It's bizarre. Like they should have the DNA, I don't know. They should have. They already have the reach, they already have the, the distribution.[00:07:25] Like why? I I have no idea. The ability to[00:07:27] Jacob: fast follow too. Like I'm surprised there's Yeah. There's just[00:07:29] swyx: nothing. Yeah. What do you make of that? I, it seems and you know, not to come back to the AI engineering future, like it takes a, a certain kind of. Founder mindset or AI engineer mindset to be like, we will build this from whole cloth and not be tied to existing paradigms.[00:07:45] I think, 'cause I like, if I was, if I'm to, you know, you know, Wade or who's, who's, who's the Zapier person than, you know, Mike. Mike who has left the Zapier. Yeah. What's the, yeah. Like you know, Zapier, when they decided to do Zapier ai, they [00:08:00] were like, oh, you can use natural language to make Zap actions, right?[00:08:03] When Notion decided to do Notion ai, they were like, oh, you can like, you know write documents or, you know, fill in tables with, with ai. Like, they didn't do the, the, the, the next step because they already had their base and they were like, let's improve our baseline. And the other people who actually tried for to, to create a phone cloth were like, we, we got no prior preconceptions.[00:08:24] Like, let's see what we can, what kinda software people can build with like from scratch, basically. I don't know that, that's my explanation. I dunno if you guys have any retros on the AI builders?[00:08:33] Jacob: Yeah. Or, or, or did they kind of get lucky getting, you know starting that product journey? Like right as the models were reaching the inflection point?[00:08:39] There's the timing[00:08:40] swyx: issue. Yeah. Yeah, yeah. Yeah. Yeah, I don't know. Like I, I, to some extent, I think the only reason you and I are talking about it is that they, both of them have reported like ridiculous numbers. Like zero to 20 million in three months, basically, both of them. Jordan, did you have a, a big surprise?[00:08:55] Jordan: Yeah, I mean, some of what's already been discussed. I guess the only other thing would be on the Apple side in particular, I [00:09:00] think, I think you know, for the last text message summary, like, but they're[00:09:04] Jacob: funny. They're funny at how bad they had, how off they're, they're viral. Yeah.[00:09:08] Jordan: I mean, so like for the last couple years we've seen so many companies that are trying to do personal assistance, like all these various consumer things, and one of the things we've always asked is, well, apple is in prime position to do all this.[00:09:18] And then with Apple Intelligence, they just. Totally messed up in so many different ways. And then the whole BBC thing saying that the guy shot himself when he didn't. And just like, there's just so many things at this point that I would've thought that they would've ironed up their, their AI products better, but just didn't really catch on,[00:09:35] Jacob: you know, second on this list of, of generally overly broad opening questions would be anything that you guys think is kind of like overhyped or under hyped in the AI world right now?[00:09:43] Alessio: Overhyped agents framework. Sorry. Not naming any particular ones. I'm sorry. Not, not not, yeah, exactly. It's not, I, I would say they're just overall a chase to try and be the framework when the workloads are like in such flux. Yeah. That I just think is like so [00:10:00] hard to reconcile the two. I think what Harrison and Link Chain has done so amazingly, it's like product velocity.[00:10:05] Like, you know, the initial obstructions were maybe not the ending obstruction, but like they were just releasing stuff every day trying to be on top of it. But I think now we're like past that, like what people are looking for now. It's like something that they can actually build on mm-hmm. And stay on for the next couple of years.[00:10:23] And we talked about this with Brett Taylor on our episode, and it feels like, it's like the jQuery era Yeah. Of like agents and lms. It's like, it's kinda like, you know, single file, big frameworks, kinda like a lot of players, but maybe we need React. And I think people are just trying to build still Jake Barry.[00:10:39] Like, I don't really see a lot of people doing react like,[00:10:43] swyx: yeah. Maybe the, the only modification I made about that is maybe it's too early even for frameworks at all. And the thing that, and do you think[00:10:50] Jacob: there's enough stability in the underlying model layer and, and patterns to, to have this,[00:10:54] swyx: the thing is the protocol and not the framework?[00:10:56] Jacob: Yeah.[00:10:56] swyx: Because frameworks inherently embed protocols, but if you just focus on a protocol, maybe that [00:11:00] works. And obviously MCP is. The current leading mm-hmm. Area. And you know, I think the comparison there would be, instead of just jQuery, it is XML HTB requests, which is like the, the thing that enabled Ajax.[00:11:10] And that was the, the, the, the, the sort of inciting incident for JavaScripts being popular as a language.[00:11:16] Jordan: I would largely agree with that. I mean, I think on the, the react side of things, I think we're starting to see more frameworks sort of go after more of that, I guess like master is sort of like on the TypeScript side and more of like a sort of master.[00:11:28] Yeah, yeah, yeah, yeah. The traction is really impressive there. And so I think we're starting to see more surface there, but I think there's still a big opportunity. What do you have for for an over or under hyped on the under hype side? You know, I actually, I, I know I mentioned Apple already, but I think the private cloud compute side with PCC, I actually think that could be really big.[00:11:45] It's under the radar right now. Mm-hmm. But in terms of basically bringing. The on device sort of security to the cloud. They've done a lot of architecturally interesting things there. Who's they? Apple. Oh, okay. On the PCC side. And so I actually think of that.[00:11:58] swyx: So you're negative on Apple [00:12:00] Intelligence, but also on Apple Cloud,[00:12:01] Jordan: on the more of the local device.[00:12:04] Sort of, I think there'll be a lot of workloads still on device, but when you need to speak to the cloud for larger LLMs, I think that Apple has done really interesting thing on the privacy side.[00:12:13] Alessio: Yeah. We did the seed of a company that does that, so Yeah. Especially as things become more co that you set 'em up on purpose.[00:12:18] So that felt like a perfect Yeah, no, I was like, let's go Jordan, you guys concluding before this episode? Tell me about that company after. We'll chat after, but, but yes, I, I think that's like the unique the thing about LLM workflows is like you just cannot have everything be single tenant, right?[00:12:35] Because you just cannot get enough GPUs. Like even like large enterprises are used to having VPCs and like everything runs privately. But now you just cannot get enough GPUs to run in a VPC. So I think you're gonna need to be in a multi-tenant architecture, and you need, like you said, like single tenant guarantees in multi-tenant environment.[00:12:52] So yeah, it's a interesting space.[00:12:55] swyx: Yeah. What about you, Swiss? Under hypes, I want to say [00:13:00] memory. Just like stateful ai. As part of my keynote on, on for just like every, every conference I do, I do a keynote and I try to do the task of like defining an agent, just, you know, always evergreen content, every content for a keynote.[00:13:14] But I did it in a, in a way that it was like I think like a, what a researcher would do. Like you, you survey what people say and then you sort of categorize and, and go like, okay, this is the, the. What everyone calls agents and here are the groups of DEF definitions. Pick and choose. Right. And then it was very interesting that the week after that OpenAI launched their agents SDK and kind of formalized what they think agents are.[00:13:34] CloudFlare also did the same with us and none of them had memory. Yeah, it's very strange. The, pretty much like the only big lab o obviously there, there's conversation memory, but there's not memory memory like in like a, like a let's store a large across fact about you and like, you know, exceed the, the context length.[00:13:54] And here's the, if you, if you're look, if you look closely enough, there's a really good implementation of memory inside of [00:14:00] MCP when they launched with the initial set of servers. They had a memory server in there, which I, I would recommend as like, that's where you start with memory. But I think like if there was a better, I.[00:14:10] Memory abstraction, then a lot of our agents would be smarter and could learn on, on the job, which is something that we all want. And for some reason we all just like ignored that because it's just convenient to, and, but do you feel like[00:14:24] Jacob: it's being ignored or it's just a really hard problem and like lots of, I feel like lots of people are working on it.[00:14:27] Just feels like it's, it's proven more challenging.[00:14:29] swyx: Yeah. Yeah. Yeah. So, so Harrison has lang me, which I think now he's like, you know, relaunched again. And then we had letter come speak at our mm-hmm. Our conference I don't know, Zep, I think there's a bunch of other memory guys, but like, something like this I think should be normal in the stack.[00:14:44] And basically I think anything stateful should be interesting to VCs 'cause it's databases and, you know, we know how those things make money.[00:14:51] Jacob: I think on the over hype side, the only thing I'd add is like, I'm, I'm still surprised how many net new companies there are training models. I thought we were kind of like past that.[00:14:58] And[00:14:58] swyx: I would say they died end of last year. And now, [00:15:00] now they've resurfaced. Yeah. I mean they, that's one of the questions that you had down there of like, yeah. Sorry. Is there an opportunity for net new model players? I wouldn't say no. I don't know what you guys think.[00:15:08] Alessio: I, I don't have a reason to say no, but I also don't have a reason to say, this is what is missing and you should have a new model company do it.[00:15:15] But again, I'm an add here. Like, all these guys wanna[00:15:17] swyx: pursue a GI, you know, all, they all want to be like, oh, we'll, we'll like hit, you know, soda on all the benchmarks and like, they can't all do it. Yeah.[00:15:25] Jacob: I mean, look, I don't know if Ilia has the secret secret approach up his sleeve of of something beyond test time compute.[00:15:29] Mm-hmm. But it was funny, I, we had Noam Shaer on the podcast last week. I was asking him like, you know, is, is there like some sort of other algorithmic breakthrough? Would he make a Ilia? And he's like, look, I think what he is implicitly said was test time compute gets to the point where these models are doing AI engineering for us.[00:15:43] And so, you know, at that point they'll figure out the next algorithm breakthrough. Yeah. Which I thought was was pretty interesting.[00:15:47] Jordan: I agree with you folks. I think that we're most interested, at least from our side and like, you know, foundation models for specific use cases and more specialized use cases.[00:15:55] Mm-hmm. I guess the broader point is if there is something like that, that these companies can latch onto [00:16:00] and being there sort of. Known for being the best at. Maybe there's a case for that. Largely though I do agree with you that I don't think there should be, at this point, more model companies. I think it's like[00:16:09] Jacob: these[00:16:09] Jordan: unique data[00:16:09] Jacob: sets, right?[00:16:10] I mean, obviously robotics has been an area we've been really interested in. It's entirely different set of data that's required, you know, on top of like a, a good BLM and then, you know, biology, material sciences, more the specific use cases basically. Yeah. But also specific, like specific markets. A lot of these models are super generalizable, but like, you know finding opportunities to, you know, where, you know, for a lot of these bio companies, they have wet labs, like they're like running a ton of experiments or you know, same on the material sciences side.[00:16:31] And so I still feel like there's some, some opportunities there, but the core kind of like LLM agent space is it's tough, tough to compete with the big ones.[00:16:38] Alessio: Yeah. Agree. Yeah. But they're moving more into product. Yeah. So I think that's the question is like, if they could do better vertical models, why not do that instead of trying to do deep research and operator?[00:16:50] And these different things. Mm-hmm. I think that's what I'm, in my mind, it's like the agents coming[00:16:53] swyx: out too.[00:16:54] Alessio: Well. Yeah. In my, in my mind it's like financial pressure. Like they need to monetize in a much shorter timeframe [00:17:00] because the costs are so high. But maybe it's like, it's not that easy to, do[00:17:04] Jacob: you think they would be, that it would be a better business model to like, do a bunch of vertical?[00:17:07] Well, it's more like[00:17:07] Alessio: why wouldn't they, you know, like you make less enemies if you're like a model builder, right? Yeah. Like, like now with deep research and like search, now perplexity like an enemy and like a, you know, Gemini deep research is like more of an enemy. Versus if they were doing a finance model, you know?[00:17:25] Mm-hmm. Or whatever, like they would just enable so many more companies and they always have, like they had as one of the customer case studies for GBT search, but they're not building a finance based model for them. So is it because it's super hard and somebody should do it? Or is it because the new models.[00:17:41] Are gonna be so much better that like the vertical models are useless anyways. Like this is better lesson. Exactly.[00:17:46] Jacob: It still seems to be a somewhat outstanding question. I, I'd say like, all the signs of the last few years seem to be like a general purpose model is like the way to go. And, you know, you know, like training a hyper-specific model in this, in, in a domain is like, you know, maybe it's cheaper and faster, but it's not gonna be like higher quality.[00:17:59] But [00:18:00] also like, I think it's still an, I mean, we were talking to, to no and Jack Ray from Google last week, and they were like, yeah, this is still an outstanding, like, we, we check this every time we have a new model. Like whether there's you know, there that still seems to be holding. I remember like a few years ago, it felt like all the rage was like the, it was like the Bloomberg GPT model came out.[00:18:14] Everyone was like, oh, you gotta like, you know, massive data. Yeah. I had[00:18:17] swyx: a GPA, I had DP of AI of Bloomberg present on that. Yeah. That must be a really[00:18:20] Jacob: interesting episode to go back on because I feel like, like very shortly thereafter, the next opening AI model came out and just like beat it on all sorts of[00:18:25] swyx: No, it, it was a talk.[00:18:26] We haven't released it yet, but yeah, I mean it's basically they concluded that the, the closed models were better so they just Yeah. Stopped. Interesting. Exactly. So I feel like that's been the but he's I, I would be. He's very insistent that the work that they did, the team he assembled, the data that he collected is actually useful for more than just the model.[00:18:42] So like, basically everything but the model survived. What are the other things? The data pipeline. Okay. The team that they, they, they assembled for like fine tuning and implementing whatever models they, they ended up picking. Yeah, it seems like they are happy with that. And they're running with that.[00:18:57] He runs like 12, 13 [00:19:00] teams at Bloomberg just working. Jenny, I across the company.[00:19:03] Jacob: I mean, I guess we've, we've all kind of been alluding it to it right now, but I guess because it's a natural transition. You know, the other broad opening I have is just what we're paying most attention to right now. And I think back on this, like, you know, the model company's coming into the product area.[00:19:13] I mean, I think that's gonna be like, I'm fascinated to see how that plays out over the next year and kind of these like frenemy dynamics and it feels like it's gonna first boil up on like cursor anthropic and like the way that plays out over the next six months I think will be. What, what is Cursor?[00:19:26] swyx: Anthropic is, you mean Cursor versus anthropic or, yeah. And I[00:19:29] Jacob: assume, you know, over time Anthropic wants to get more into the application side of coding Uhhuh. And you know, I assume over time Cursor will wanna diversify off of, you know, just using the Anthropic model.[00:19:39] swyx: It's interesting that now Cursor is now worth like 10 billion, nine, nine, 10 billion.[00:19:43] Yeah. And like they've made themselves hard to acquire, like I would've said, like, you should just get yourself to five, 6 billion and join OpenAI. And like all the training data goes through OpenAI and that's how they train their coding model. Now it's not as complicated. Now they need to be an independent company.[00:19:57] Jacob: Increasingly, it's seems to the model companies want to get into the [00:20:00] product layer. And so seeing over the next six, 12 months does having the best model, you know let you kind of start from a cold start on the product side and, and get something in market. Or are the, you know, companies with the best products, even if they eventually have to switch to a somewhat worse, tiny bit worse model, does it not, you know, where do the developers ultimately choose to go?[00:20:16] I think that'll be super interesting. Yeah.[00:20:18] Alessio: Don't you think that Devon is more in trouble than cursor? I, I feel like on Tropic, if anything wants to move more towards, I don't think they wanna build the ID like if I think about coding, it's like kind of like, you know, you look at it like a cube, it's like the ID is like one way to get the code and then the agent is like the other side.[00:20:33] Yeah. I feel like on Tropic wants more be on the agent side and then hand you off the cursor when you want to go in depth versus like trying to build the claw. IDEI think that's not, I would say, I don't know how you think the[00:20:46] swyx: existence, a cloud code doesn't show, doesn't support what you say. Like maybe they would, but[00:20:52] Jacob: assume, like I assume both just converge eventually where you want have where will you be able to do both?[00:20:57] So,[00:20:57] swyx: so in order to be so we're, we're talking [00:21:00] about coding agents, whether it's sort of what is it? Inner loop versus auto loop, right? Like inner loop is inside cursor, inside your ID between inside of a GI commit and auto loop is between GI commits on, on the cloud. And I think like to be an outer loop coding agent, you have to be more of a, like, we will integrate with your code base, we'll sign your whatever.[00:21:17] You know, security thing that you need to sign. Yeah. That kinda schlep. I don't think the model ads wanna do that schlep, they just want to provide models. So that, that, that's, that would be my argument against like why cognition should still have, have, have some moat against anthropic just simply because they cognition would do the schlep and the biz dev and the infra that philanthropic doesn't really care about.[00:21:39] Jacob: I know the schlep is pretty sticky though. Once you do it,[00:21:41] swyx: it's very sticky. Yeah. Yeah. I mean it's, it's, it's interesting. Like, I, I think the natural winner of that should be sourcegraph. But there's another[00:21:47] Jacob: unprompted point portfolio. Nice. We, I mean they, they're[00:21:51] swyx: big supporters like very friendly with both Quinn and B and they've they've done a lot of work with Cody, but like, no, not much work on the outer [00:22:00] loop stuff yet.[00:22:01] But like any company where like they have already had, like, we've been around for 10 years, we, we like have all the enterprise contracts that you already trust us with your code base. Why would you go trust like factory or cognition as like, you know, 2-year-old startups who like just came outta MIT Like, I don't know.[00:22:17] Product Market Fit in AI[00:22:17] Jacob: I guess switching gears to the to the application side I'm curious for both of you, like how do you kind of characterize what has genuine product market fit in AI today? And I guess less, you more and your side of the investing side, like more interesting to invest in that category of the stuff that works today or kind of where the capabilities are going long term.[00:22:35] Alessio: That's hard. I was asking you to do my job for you, like, man, that's a easy, that's a layout. Tell us all your investing[00:22:40] pieces. Yeah, yeah, yeah. I, I, I would say we, well we only really do mostly seed investing, so it's hard to invest in things that already work. Yeah. That fair. Are really late. So we try to, but, but we try to be at the cusp of like, you know, usually the investments we like to make, there's like really not that much market risk.[00:22:57] It's like if this works. Obviously people are gonna [00:23:00] use it, but like it's unclear whether or not it's gonna work. So that's kind of more what we skew towards. We try not to chase as many trends and I don't know, I, you know, I was a founder myself and sometimes I feel like it's easy to just jump in and do the thing that is hot, but like becoming a founder to do something that is like underappreciated or like doesn't yet work shows some level of like dread and self, like you, you actually really believe in the thing.[00:23:25] So that alone for me is like, kind of makes me skew more towards that. And you do a lot of angel investing too, so I'm curious how,[00:23:31] swyx: Yeah, but I don't regard, I don't have, I don't use, put, put that in my mental framework of things like I come at this much more as a content creator or market analyst of like, yeah, it, it really does matter to me what has part of market fit because.[00:23:45] People, I have to answer the question of what is working now When, when people ask me,[00:23:50] Jacob: do you feel like relative to the, the obviously the hype and discourse out there, like, you know, do you feel like there's a lot of things that have product market fit or like a few things, like where a few things? Yeah.[00:23:58] swyx: I was gonna say this, so I have a list [00:24:00] of like two years ago we, I wrote the Anatomy of autonomy posts where it was like the, the first, like what's going on in agents and, and and, and, and what is actually making money. Because I think there's a lot of gen I skeptics out there. They're all like, these, these things are toys.[00:24:13] They're, they're not unreliable. And you know, why, why, why you dedicating your life to these things. And I think for me, the party market fit bar at the time was a hundred million dollars, right? Like what use cases can reasonably fit a hundred million dollars. And at the time it was like co-pilot it was Jasper.[00:24:30] No longer, but mm-hmm. You know, in that category of like help you write. Yeah. Which I think, I think was, was helpful. And then and the cursor I think was on there as, as a, as, as, as like a coding agent. Plus plus. I think that list will just grow over time of like the form factors that we know to work, and then we can just adapt the form factors to a bunch of other things.[00:24:47] So like the, the one that's the most recently added to this is deep research.[00:24:52] misc: Yeah.[00:24:52] swyx: Right. Where anything that looks like a deep research whether it's a grok version, Gemini version, perplexity version, whatever. He has an investment [00:25:00] that that he likes called Brightwave that is basically deep research for finance.[00:25:02] Yeah. And anything where like all it is like long-term agent, agent reporting and it's starting to take more and more of the job away from you and, and just give you much more reason to report. I think it's going to work. And that has some PMFI think obviously has PMF like I, I would say. It's I, I went to this exercise of trying to handicap how much money open AI made from launching open ai deep research.[00:25:25] I think it's billions. Like the, the, the mo the the she upgrade from like $20 to 200. It has to be billions in the R off. Maybe not all them will stick around, but like that is some amount of PMF that is didn't they have to immediately drop it down[00:25:38] Jacob: to the $20 tier?[00:25:39] swyx: They expanded access. I don't, I wouldn't say, which I thought was[00:25:42] Jacob: really telling of the market.[00:25:43] Right. It's like where you have a you know, I think it's gonna be so interesting to see what they're actually able to get in that 200 or $2,000 tier, which we all think is, is, you know, has a ton of potential. But I thought it was fascinating. I don't know whether it was just to get more people exposure to it or the fact that like Google had a similar product obviously, and, and other folks did too.[00:25:59] But [00:26:00] it was really interesting how quickly they dropped it down.[00:26:02] swyx: I don't, I think that's just a more general policy of no matter what they have at the top tier, they always want to have smaller versions of that in the, in the lower tiers. Yeah. And just get people exposure to it. Just, yeah, just get exposure.[00:26:12] The brand of being first to market and, and like the default choice Yeah. Is paramount to open ai[00:26:18] Jacob: though. I thought that whole thing was fascinating 'cause Google had the first product, right? Yeah. And no, like, you know, I, we[00:26:24] swyx: interviewed them. I, I, I, straight up to their faces, I was like, opening, I mocked you.[00:26:28] And they were like, yeah, well, actually curious, what's[00:26:30] Jacob: it, this is totally off topic, but whatever. Like, what is it going to take for go? Google just released some great models like a, a few weeks ago. Like I feel like it's happening. The stuff they're shipping is really cool. It's happening. Yeah, but I, I, I also, I feel like at least in the, you know, broader discourse, it's still like a drop in the bucket relative to[00:26:45] swyx: Yeah.[00:26:45] I mean, I, I can riff on, on this. I, I, but I, I think it's happening. I think it takes some time, but I am, like my Gemini usage is up. Like, I, I use, I use it a lot more for anything from like summarizing YouTube videos to the [00:27:00] native image generation Yeah. That they just launched to like flash thinking.[00:27:02] So yeah, multi-mobile stuff's great. Yeah. I run you know, and I run like a daily sort of news recap called AI news that is, 99% generated by models, and I do a bake off between all the frontier models every day. And it's every day. Like does it switch? I manual? Yes, it does switch. And I, man, I manually do it.[00:27:18] And flash is, flash wins most days. So, so like, I think it's happening. I think I was thinking, I was thinking about tracking myself like number of opens of tragedy, g Bt versus Gemini. And at some point it will cross. I think that Gemini will be my main and, and it, it, I I like that will slowly happen for a bunch of people.[00:27:37] And, and, and then that will, that'll shift. I, I think that's, that's a really interesting for developers, this is a different question. Yeah. It's Google getting over itself of having Google Cloud versus Vertex versus AI studio, all these like five different brands, slowly consolidating it. It'll happen just slowly, I guess.[00:27:53] Alessio: Yeah.[00:27:54] Yeah. I, I mean, another good example is like you cannot use the thinking models in cursor. Yeah. And I know [00:28:00] Logan killed Patrick's that they're working on it, but I, I think there's all these small things where like if I cannot easily use it, I'm really not gonna go out of my way to do it. But I do agree that when you do use them, their models are, are great.[00:28:12] So yeah. They just need better, better bridges.[00:28:15] swyx: You had one of the questions in the prep.[00:28:16] Debating Public Companies: Google vs. Apple[00:28:16] swyx: What public company are you long and short and minus Google versus, versus Apple, like, long, short. That was also my[00:28:23] Jacob: combo. I, I feel like, yeah, I mean, it does feel like Google's really cooking right now.[00:28:26] swyx: Yeah. So okay, coming back to what has product market fit[00:28:29] Jacob: now,[00:28:29] swyx: now that we come[00:28:30] Jacob: back to my complete total sidetrack,[00:28:33] Customer Support and AI's Role[00:28:33] swyx: there's also customer support.[00:28:35] We were talking on, on the car about Decagon and Sierra, obviously Brett, Brett Taylor is founder of Sierra. And yeah, it seems like there's just this, these layers of agents that'll like, I think you just look at like the income statement or like the, the org chart of any large scaled company and you start picking them off one by one.[00:28:51] What like is interesting knowledge work? And they would just kind of eat. Things slowly from the outside in. Yeah, that makes sense.[00:28:57] Alessio: I, I mean, the episode with the, [00:29:00] with Brett, he's so passionate about developer tools and Yeah. He did not do a developer tools. We spent like two hours talking about developer tools and like, all, all of that stuff.[00:29:10] And it's like, I, they a customer support company, I'm like, man, that says something. You know what I mean? Yeah. It's like when you have somebody like him who can like, raise any amount of money from anybody to do anything. Yeah. To pick customer support as the market to go after while also being the chairman of OpenAI, like that shows you that like, these things have moats and have longstanding, like they're gonna stick around, you know?[00:29:32] Otherwise he's smarter than that. So yeah, that's a, that's a space where maybe initially, you know, I would've said, I don't know, it's like the most exciting thing to, to jump into, but then if you really look at the shape of like, how the workforce are structured and like how the cost centers of like the business really end up, especially for more consumer facing businesses, like a lot of it goes into customer support.[00:29:54] AI's Impact on Business Growth[00:29:54] Alessio: All the AI story of the last two years has been cost cutting. Yeah. I think now we're gonna switch more towards growth revenue. [00:30:00] Totally. You know, like you've seen Jensen, like last year, GTC was saying the more you buy, the more you save this year is that the more you buy, the more you make. So we're hot off the[00:30:08] Jacob: press.[00:30:10] We were there. We were there. Yeah. I do think that's one of the most interesting things about the, this first wave of apps where it's like almost the easiest thing that you could you could get real traction with was stuff that, you know, for lack of a better way to frame it, like so that people had already been comfortable outsourcing the BPOs or something and kind of implicitly said like, Hey, this is a cost center.[00:30:24] Like we are willing to take some performance cut for cost in the past. You know, the, the irony of that, or what I'm really curious to see how it plays out is, you know, you, you could imagine that is the area where price competition is going to be most fierce because it's already stuff that you know, that people have said, Hey, we don't need the like a hundred percent best version of that.[00:30:42] And I wonder, you know, this next wave of apps. May prove actually even more defensible as you get these capabilities that actually are, you know, increased top line or whatnot where you're like, you take ai, go to market, for example. Like you're, you'd pay like twice as much for something that brought, like, 'cause there's just a kind of very clean ROI story to it.[00:30:59] And so [00:31:00] I wonder ultimately whether the, like this next set of apps actually ends up being more interesting than the, than the first wave.[00:31:05] Alessio: Yeah,[00:31:05] Voice AI and Scheduling Solutions[00:31:05] Jordan: I think a lot of the voice AI ones are interesting too, because you don't need a hundred percent precision recall to actually, you know, have a great product.[00:31:12] And so for example, we looked into a bunch of you know, scheduling intake companies, for example, like home services, right? For electricians and stuff like that. Today they miss 50% of their calls. So even if the AI is only effective, say 75% of the time, yeah, it's crazy, right? So if it's effective 75% of the time, that's totally fine because that's still a ton of increased revenue for the customer, right?[00:31:32] And so you don't need that a hundred percent accuracy. Yeah. And so as the models. And the reliability of these agents are getting better is totally fine, because you're still getting a ton of value in the meantime.[00:31:41] swyx: Yeah. One, this is, I don't know how related this is, but I, one of my favorite meetings at it is related one of my favorite meetings at AI Engineer Summit, it is like, like I do these, this is our first one in New York, and I it is like met the different crew than, than you meet here.[00:31:55] Like everyone here is loves developer tools, loves infra over there. They're actually more interested in [00:32:00] applications. It's kind of cool. I met this like bootstrap team that, like, they're only doing appointment scheduling for vets. They, they, yeah. And like, they're like, this is a, this is an anomaly. We don't usually come to engineering summits 'cause we usually go to vet summits and like talk to the, they're, they're like, you know, they, they're, they're literally, I'm sure it's a[00:32:16] Jordan: massive pain point.[00:32:17] They're willing to pay a lot of money.[00:32:20] Alessio: Yeah. But, but, but this is like my point about saving versus making more, it's like if an electrician takes two x more calls, do they have the bandwidth? To actually do two X more in-house and they get higher. Well, yeah, exactly. That's the thing is like, I don't think today most businesses are like structured to just like overnight two, three x the band, you know?[00:32:38] I think that's like a startup thing. Like mo most businesses then you make an[00:32:42] swyx: electrician agent. Well, no, totally. That's how do you, how do you recruiting agent for electrician, for like[00:32:49] Alessio: electrician. Great. That's a good point. How do you do lambda school for electrician? I, it's hilarious.[00:32:53] Jacob: Whack-a-mole for the bottlenecks in these businesses.[00:32:55] Like as, oh, now we have a ton of demand. Like, cool. Like where do we go?[00:32:58] swyx: Yeah.[00:32:59] Exploring AI Applications in Various Fields[00:32:59] swyx: So just to [00:33:00] round out the, the this PMF thing I think this is relevant in a certain sense of, like, it's pretty obvious that the killer agents are coding agents, support agents, deep research, right? Roughly, right. We've covered all those three already.[00:33:10] Then, then, then you have to sort of be, turn to offense and go like, okay, what's next? And like, what, what about, I[00:33:16] Jacob: mean, I also just like summarization of, of voice and conversation, right? Yep. Absolutely. We actually had that on there. I[00:33:21] swyx: just, I didn't put it as agent. Because seems less agentic, you know? But yes, still, still a good AI use case.[00:33:26] That one I, I've seen I would mention granola and what's the other one? Monterey, I think a bridge was one wanted to mention. I was say bridge. Yeah, bridge. Okay. So I'll just, I'll call out what I had on my slides. Yeah. For, for the agent engineering thing. So it was screen sharing, which I think is actually kind of, kind of underrated.[00:33:42] Like people, like an AI watching you as you do your work and just like offering assistance outbound sales. So instead of support, just being more outbound hiring, you say[00:33:51] Jacob: outbound sales has brought a market fit?[00:33:53] swyx: No, it, it, it will, it's come out. Oh, on the comp. Yeah. I was totally agree with that. Yeah. Hiring like the recruiting side education, like the, [00:34:00] the sort of like personalized teaching, I think.[00:34:02] I'm kind of shocked we haven't seen more there. Yeah. Yeah. I don't know if that's like, like it's like Duolingo is the thing. Amigo.[00:34:08] Jacob: Yeah. I mean, speak in some of these like, you know,[00:34:10] swyx: speak, practice, yeah. Interesting. And then finance, I, there's, there's a ton of finance cases that we can talk about that and then personal ai, which we also had a little bit of that, but I think personal AI is a harder to monetize, but I, I think those would be like, what I would say is up and coming in terms of like, that's what I'm currently focusing on.[00:34:27] Jacob: I feel like this question's been asked a few different ways but I'm, I'm curious what you guys think it's like, is it like, if we just froze model capabilities today, like is there, you know, trillions of dollars of application value to be unlocked? Like, like AI education? Like if we just stopped today all model development, like with this current generation of models, we could probably build some pretty amazing education apps.[00:34:44] Or like, how much of this, how much of, of all this is like contingent upon just like, okay, people have had two years with GBT four and like, you know, I don't know, six months with the reasoning models, like how much is contingent upon it just being more time with these things versus like the models actually have to get better?[00:34:58] I dunno, it's a hard question, so I'm gonna just throw it [00:35:00] to you.[00:35:00] Alessio: Yeah. Well I think the societal thing, it's maybe harder, especially in education. You know, like, can you basically like Doge. The education system. Probably you should, but like, can you, I I think it's more of a human,[00:35:14] Jacob: but people pay for all sorts of like, get ahead things outside of class and you know, certainly in other countries there's a ton of consumer spend and education.[00:35:21] It feels like the market opportunity is there.[00:35:23] swyx: Yeah. And, and private education, I think yeah, public Public is a very different, yeah. One of my most interesting quests from last year was kind of reforming Singapore's education system to be more sort of AI native, just what you were doing on the side while you were Yes.[00:35:38] That's a great, that's a great side quest. My stated goal is for Singapore to be the first country that has Python as a first language, as a, as a national language. Anyway, so, but the, the, the, the defense, the pushback I got from Ministry of Education was that the teachers would be unprepared to do it.[00:35:53] So it's like, it was like the def the, like, the it was really interesting, like immediate pushback. Was that the defacto teachers union being like, [00:36:00] resistant to change and like, okay. It's that that's par for the course. Anyway, so not, not to, not to dwell too much on that, but like yeah, I mean, like, I, I think like education is one of those things that pe everyone, like has strong opinions on.[00:36:11] 'cause they all have kids, all be the education system. But like, I think it's gonna be like the, the domain specific, like, like speak like such a amazing example of like top down. Like, we will go through the idea maze and we'll go to Korea and teach them English. Like, it's like, what the hell? And I would love to see more examples of that.[00:36:29] Like, just like really focus, like no one tried to solve everything. Just, just do your thing really, really well[00:36:34] Defensibility in AI Applications[00:36:34] Jacob: on this trend of of, of difficult questions that come up. I'm gonna just ask you the one that my partners like to ask me every single Monday, which is how do you think about defensibility at the at the app layer?[00:36:41] Alessio: Oh[00:36:41] Jacob: yeah, that's great. Just gimme an answer. I can copy paste and just like, you know, have network effects. Auto, auto response.[00:36:47] swyx: Honestly like network effects. I think people don't prioritize those enough because they're trying to make the single player experience good. But then, then they neglect the [00:37:00] multiplayer experience.[00:37:00] I think one of the I always think about like load-bearing episodes, like, you know, as, as park that you do one a week and like, you know, some of those you don't really talk about ever again. And others you keep mentioning every single podcast. And one of the, this is obviously gonna be the last one. I think the recap episodes for us are pretty load-bearing.[00:37:15] Like we, we refer to them every three months or so. And like one of them I think for us is Chai for me is chai research, even though that wasn't like a super popular one among the broader community outside of Chai, the chai community, for those who don't know, chai Research is basically a character AI competitor.[00:37:32] Right. They were bootstraps, they were founded at the same time and they have out outlasted character of de facto. Right. It's funny, like I, I would love to ask Mil a bit more about like the whole character thing, but good luck getting past the Google copy. But like, so he, like, he, like he doesn't have his own models, basically he has his own network of people submitting models to be run.[00:37:54] And I think like. That is like short term going to be hurting him because he doesn't have [00:38:00] proprietary ip. But long term he has the network network effect to make him robust to any changes in the future. And I think, like I wanna see more of that where like he's basically looking himself as kind of a marketplace and he's identified the choke point, which is will be app or the, the sort of protocol layer that interfaces between the users and the model providers.[00:38:18] And then make sure that the money kind of flows through and that works. I, I wish that more AI builders or AI founders emphasize network effects. 'cause that that's the only thing that you're gonna have with the end of the day. Yeah. And like brand deeds into network effects you.[00:38:34] Jacob: Yeah, I guess you know, harder in, in the enterprise context.[00:38:36] Right. But I mean, I feel, it's funny, we do this exercise and I feel like we talk a lot about like, you know, obviously there's, you know kind of the velocity and the breadth you're able to kind of build of product surface area. There's just like the ability to become a brand in a space. Like, I'm shocked that even in like six, nine months, how an individual company can become synonymous with like an entire category.[00:38:52] And like, then they're in every room for customers and like all the other startups are like clawing their way to try and get in like one, you know, 20th of those rooms.[00:38:59] Jordan: There's a [00:39:00] bunch of categories where we talk about an IC and it's like, oh, pricing compression's gonna happen, not as defensible. And so ACVs are gonna go down over time.[00:39:08] In actuality, some of these, the ACVs have doubled, we've seen, and the reason for that is just, you know, people go to them and pay for that premium of being that brand.[00:39:16] Jacob: Yeah. I mean, one thing I'm struck by is there's been, there was such a head fake in the early days of, of AI apps where people were like, we want this amazing defensibility story, and then what's the easiest defensibility story?[00:39:24] It's like, oh, like. Totally unique data set or like train your own model or something. And I feel like that was just like a total head fake where I don't think that's actually useful at all. It's the much less, you sound much less articulate when you're like, well the defensibility here is like the thousand small things that this company does to make like the user experience design everything just like delightful and just like the speed at which they move to kind of both create a really broad product, but then also every three, six months when a new model comes out, it's kind of an existential event for like any company.[00:39:49] 'cause if you're not the first to like figure out how to use it, someone else will. Yeah. And so velocity really matters there. And it's funny in in, in kinda our internal discussions, we've been like, man, that sounds pretty similar to like how we thought about like application SaaS [00:40:00] companies. That there isn't some like revolutionary reason you don't sound like a genius when you're like, here's applications why application SaaS company A is so much better than B.[00:40:07] But it's like a lot of little things that compound over time.[00:40:10] Infrastructure and AI: Current Trends[00:40:10] Jacob: What about the infrastructure space, guys? Like I'm curious you know. What, how do you guys think about where the interesting categories are here today and you know, like where, where, where do you wanna see more startups or, or where do you think there are too many?[00:40:21] Alessio: Yeah. Yeah, we call it kind of the L-L-M-O-S. But I would say[00:40:24] swyx: not we, I mean Andre, Andre calls it LMOS[00:40:27] Alessio: Well, but yeah, we, well everyone else just copies whatever two. And Andre, the three of you call it the LMO. Well, we have just like four words of ai framework Yeah. Yeah. That we use. And LM Os is one of them, but yeah, I mean, code execution is one.[00:40:39] We've been banging the drum, everybody now knows where investors in E two B. Mm-hmm. Memory, you know, is one that we kind of touched on before. Super interesting search we talked about. I, I think those are more not traditional infra, not like the bare metal infra. It's more like the infra around the tools for agents model, you know?[00:40:57] Which I think is where a lot of the value is gonna [00:41:00] be. The security[00:41:00] swyx: ones. Yeah.[00:41:01] Alessio: Yeah. And cyber security. I mean there's so much to be done there. And it's more like basically any area where. AI is being used by the offense. AI needs to be applied on the defense side, like email security, you know, identity, like all these different things.[00:41:16] So we've been doing a lot there as well as, you know, how do you rethink things that used to be costly, like red teaming and maybe used to be a checkbox in the past Today they can be actually helpful. Yeah. To make you secure your app. And there's this whole idea of like, semantics, right? That not the models can be good at.[00:41:32] You know, in the past everything is about syntax. It's kind of like very basic, you know, constraint rules. I think now you can start to infer semantics from things that are beyond just like simple recognition to like understanding why certain things are happening a certain way. So in the security space, we're seeing that with binary inspection, for example.[00:41:51] Like there's kinda like the syntax, but then there are like semantics of like understanding what is the scope overall really trying to do. Even though this [00:42:00] individual syntax, it's like seeing something specific. Not to get too technical, but yeah, I, I think infra overall, it's like a super interesting place if you're making use of the model, if you're just, I'm less bullish.[00:42:13] Not, not that it's not a great business, but I think it's a very capital intensive business, which is like serving the models. Mm-hmm. Yeah. I think that infra is like, great people will make money, but yeah. I, I, I don't think there's as much of a interest from, from us at[00:42:25] Jordan: least. Yeah. How, how do you guys think about what OpenAI and the big research labs will encompass as part of the developer and infra category?[00:42:31] Yeah.[00:42:31] Alessio: That, that's why I, I would say I search is the first example of one of the things we used to mention on, you know, we had X on the podcast and perplexity obviously as a, as an API. The basic idea[00:42:44] swyx: is if you go into like the chat GBT custom GPT builder, like what are the check boxes? Each of them is a startup.[00:42:50] Alessio: Yeah. And, and now they're also APIs. So now search is also an a p, we will see what the adoption is. There's the, you know, in traditional infra, like everybody wants to be [00:43:00] multi-cloud, so maybe we'll see the same Where change GPD search or open AI search. API is like, great with the open AI models because you get it all bundled in, but their price is very high.[00:43:11] If you compare it to like, you know, XI think is like five times the, the price for the same amount of research, which makes sense if you have a big open AI contract. But maybe if you're just like pick and best in breed, you wanna compare different ones. Yeah. Yeah, they don't have a code execution one.[00:43:26] I'm sure they'll release one soon. So they wanna own that too, but yeah. Same question we were talking about before, right? Did they wanna be an API company or a product company? Do you make more money building Tri g BT search or selling search? API?[00:43:38] swyx: Yeah. The, the broader lesson, instead of like going, we did applications just now.[00:43:42] And then what do you think is interesting infrastructure? Like it's not 50 50, it's not like equal weighted, like it, it's just very clearly the application layer has like. Been way more interesting. Like yes, there, there's interesting in infrastructure plays and I even want to like push back on like the, the, the whole GPU serving thing because like together [00:44:00] AI is doing well, fireworks, I mean I was, that worked.[00:44:02] Alessio: It's like data[00:44:02] Jacob: centers[00:44:03] Alessio: and inference[00:44:03] Jacob: providers,[00:44:04] Alessio: the,[00:44:04] swyx: you know,[00:44:04] Alessio: I think it's not like the capital[00:44:06] swyx: Oh, I see.[00:44:07] Alessio: I for, for again, capital efficiency. Yeah. Much larger funds. So you, I'm sure you have GPU clouds. Yeah.[00:44:13] swyx: Yeah. So that's, that's, that is one thing I have been learning in, in that you know, I think I have historically had dev tools and infra bias and so has he, and we've had to learn that applications actually are very interesting and also maybe kind of the killer application of models in a sense that you can charge for utility and not for cost.[00:44:33] Right? Which, where like most infrastructure reduces to cost plus. Yeah. Right. So, and like, that's not where you wanna be for ai. So that's, that's interesting for, for me I thought it would be interesting for me to be the only non VC in the room to be saying what is not investible. 'cause like then I then, you know, you can I, I won't be canceled for saying like, your, your whole category is, we have a great thing where like, this thing's[00:44:54] Jacob: not investible and then like three months later we're desperately chasing.[00:44:56] Exactly. Exactly. So you don't wanna be on a record space changes so [00:45:00] fast. It's like you gotta, every opinion you hold, you have to like, hold it quite loosely. Yeah.[00:45:02] swyx: I'm happy to be wrong in public, you know, I think that's how you learn the most, right? Yeah. So like, fine tuning companys is something I struggled with and still, like, I don't see how this becomes a big thing.[00:45:12] Like you kind of have to wrap it up in a broader, ser broader enterprise AI company, like services company, like a writer, AI where like they will find you and it's part of the overall offering. Mm-hmm. But like, that's not where you spike. Yeah, it's kind of interesting. And then I, I'll, I'll just kind of AI DevOps and like, there's a lot of AI SRE out there seems like.[00:45:32] There's a lot of data out there that that should be able to be plugged into your code base or, or, or your app to it's self-heal or whatever. It's just, I don't know if that's like, been a thing yet. And you guys can correct me if you're, if I'm wrong. And then the, the last thing I'll mention is voice realtime infra again, like very interesting, very, very hot.[00:45:49] But again, how big is it? Those are the, the main three that I'm thinking about for things I'm struggling with.[00:45:54] Jordan: Yeah. I guess a couple comments on the A-I-S-R-E side. I actually disagree with that one. Yeah. I think that the [00:46:00] reason they haven't sort of taken off yet is because the tech is just not there quite yet.[00:46:04] And so it goes back to the earlier question, do we think about investing towards where the companies will be when the models improve versus now? I think that's going to be, in short term we'll get there, but it's just not there just yet. But I think it's an interesting opportunity overall.[00:46:18] swyx: Yeah. It's my pushback to you is, well it's monitoring a lot of logs, right?[00:46:22] Yeah. And it's basically anomaly detection rather than. Like there's, there's a whole bunch of like stuff that can happen after you detect the anomaly, but it's really just an anomaly detection. And we've always had that, you know, like it's, this is like not a Transformers LLM use case. This is just regular anomaly detection.[00:46:38] Jordan: It's more in terms of like, it's not going to be an autonomous SRE for a while. Yeah. And so the question is how, how much can the latest sort of AI advancements increase the efficacy of going, bringing your MTTR

Send us a text

-Sony State of Play: https://www.eurogamer.net/state-of-play-february-2025-everything-announced -Can't fix it? Dump it: https://www.theverge.com/news/612192/final-fantasy-crystal-chronicles-ios-shutting-down-bug -John Carmack sees VR differently: https://www.tweaktown.com/news/103176/john-carmack-calls-pc-vr-gaming-boutique-niche-says-half-life-alyx-wasnt-that-important/index.html -Pump and dump with Marvel Rivals: https://www.theverge.com/news/614819/marvel-rivals-us-layoffs-netease -Nvidia delays 5070 launch to see what AMD has: https://www.theverge.com/news/612650/nvidia-delays-rtx-5070-after-amd-9070 -Crysis 4 is on hold :(: https://www.pcgamer.com/games/fps/crysis-4-is-officially-on-hold-as-crytek-lays-off-15-percent-of-its-workforce-saying-it-cannot-continue-as-before-and-remain-financially-sustainable/ -I don't have this kind of patience… or mindset.. But I am glad some people do. New Halo CE glitch found after 24 years.  https://www.videogamer.com/news/halo-combat-evolved-glitch-lets-players-become-halo-ring/ -Story Time. Who remembers Ross Chastain and the Wall Ride. https://www.youtube.com/shorts/idpgTTFyUPc?t=45&feature=share https://youtu.be/5wFfBhn5ihQ?si=xaHRxDM4NvnljKiz -Fun Way to deal with cheaters! https://kotaku.com/fortnite-tournament-cheating-epic-games-ban-lawsuit-1851765147 

Ian Hamilton and David Heaney discuss:dbrand's "Trypophobic" Apple Vision Pro FaceplateTouchDesk On Apple Vision ProNBA Apple Vision Pro App's Tabletop ViewFirst PlayStation VR2 Game To Support Hand TrackingRay-Ban Meta Glasses Super Bowl Ads With A-List CelebritiesSideQuest & Meta DependencyAndroid XR Will Let Apps Access The Passthrough Camera ViewAnduril Taking Over The IVAS Program, Replacing HoloLensJohn Carmack's Comments On PC VR And Standalone VR

We have an exciting sneak preview from the upcoming GameWell 2024 summit! An interview with Dennis Fong, and his journey from the world's first professional gamer to entrepreneur and parent. To learn more about Dennis's work in combating toxicity in gaming, check out www.ggwp.com. And to register for the entire summit, head over to www.gamewell24.com! Join us in this episode as we dive into the inspiring life of Dennis Fong, the first professional eSports gamer. Dennis shares his journey from mastering games like Doom and Quake to winning accolades such as John Carmack's Ferrari. He discusses balancing his dual roles as a gamer and entrepreneur, recalling how life's challenges shaped his parenting philosophy. We explore his commitment to fostering passion in his 14-year-old son and his latest venture, GGWP, an AI-driven platform to combat toxicity in gaming. This episode is packed with insights on balancing career and family, promoting healthy gaming, and the broader impacts of gaming on personal development and community-building. Dads looking for guidance on embracing their children's gaming interests will find this conversation particularly enriching. 00:00 Introduction to Dennis Fong: The First eSports Gamer 03:46 Winning John Carmack's Ferrari 05:01 Balancing Gaming and Entrepreneurship 07:42 Parenting and Gaming: A Full Circle 13:04 Founding GGWP: Tackling Toxicity in Gaming 19:46 Balancing Gaming and Education 23:11 Parenting with Honesty and Directness 26:08 Reflecting on Gaming Addiction 29:37 Encouraging Productive Gaming 34:00 Using Gaming to Explore New Interests

Doom - Das Spiel und warum es ein Engineering Meisterwerk istDas Spiel Doom beschäftigt viele Software-Entwickler*innen auch noch 31 Jahren nach seiner Veröffentlichung im Jahre 1993. Die Frage “Can it run Doom?” ist allgegenwärtig. Es ist eine Art Sport geworden, das Spiel auf jede Art von Device zu portieren. Doom läuft inzwischen auf einem John Deere Trecker, einem Satelliten und einem digitalen Schwangerschaftstest.Doch was macht dieses Spiel so interessant?Warum wird genau dieses Spiel für die Portierung genutzt?Welche bahnbrechenden Implementierungsdetails haben John Carmack, John Romero und das Team verbaut?Das war meine Ausgangsfrage. Das Resultat? Ein tiefes Loch voller Wow und WTF-Momente. Und diese Podcast-Episode. Es geht um Zufallszahlengeneratoren, Grafik-Engines, Doom-Fun-Facts, Doom Forks und wie du deinen eigenen Doom-Port erstellen kannst.Bonus: Ist es eine Herausforderung ein Device zu finden, das Doom nicht laufen lassen kann?Das schnelle Feedback zur Episode:

How and Why We Make Games (CRC Press, 2024) delves into the intricate realms of games and their creation, examining them through cultural, systemic, and, most notably, human lenses. It explores diverse themes such as authorship, creative responsibility, the tension between games as a product and games as a form of cultural expression, and the myth of a universal audience. The book analyzes why we should put politics in our games and how hyperrealism may be a trap. It also proposes a new framework for thinking about game narrative and a different paradigm for the production altogether. Topics tackled are approached from a multidisciplinary perspective, so be prepared to read both about Peter Paul Rubens and John Carmack. There are also graphs, system rhetorics discussions, and the market reality—stakeholders, return on investments, and the gaming bubble bursting. This book is written for readers passionate about the craft of making games, including journalists and industry professionals. It offers a more humanistic perspective on games, presented by experienced writers who know the intricacies of game development. Rudolf Inderst is a professor of Game Design with a focus on Digital Game Studies at the IU International University of Applied Science, department lead for Games at Titel kulturmagazin, editor of “DiGRA D-A-CH Game Studies Watchlist”, a weekly messenger newsletter about Game Culture and curator of @gamestudies at tiktok. 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

How and Why We Make Games (CRC Press, 2024) delves into the intricate realms of games and their creation, examining them through cultural, systemic, and, most notably, human lenses. It explores diverse themes such as authorship, creative responsibility, the tension between games as a product and games as a form of cultural expression, and the myth of a universal audience. The book analyzes why we should put politics in our games and how hyperrealism may be a trap. It also proposes a new framework for thinking about game narrative and a different paradigm for the production altogether. Topics tackled are approached from a multidisciplinary perspective, so be prepared to read both about Peter Paul Rubens and John Carmack. There are also graphs, system rhetorics discussions, and the market reality—stakeholders, return on investments, and the gaming bubble bursting. This book is written for readers passionate about the craft of making games, including journalists and industry professionals. It offers a more humanistic perspective on games, presented by experienced writers who know the intricacies of game development. Rudolf Inderst is a professor of Game Design with a focus on Digital Game Studies at the IU International University of Applied Science, department lead for Games at Titel kulturmagazin, editor of “DiGRA D-A-CH Game Studies Watchlist”, a weekly messenger newsletter about Game Culture and curator of @gamestudies at tiktok. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/sociology

How and Why We Make Games (CRC Press, 2024) delves into the intricate realms of games and their creation, examining them through cultural, systemic, and, most notably, human lenses. It explores diverse themes such as authorship, creative responsibility, the tension between games as a product and games as a form of cultural expression, and the myth of a universal audience. The book analyzes why we should put politics in our games and how hyperrealism may be a trap. It also proposes a new framework for thinking about game narrative and a different paradigm for the production altogether. Topics tackled are approached from a multidisciplinary perspective, so be prepared to read both about Peter Paul Rubens and John Carmack. There are also graphs, system rhetorics discussions, and the market reality—stakeholders, return on investments, and the gaming bubble bursting. This book is written for readers passionate about the craft of making games, including journalists and industry professionals. It offers a more humanistic perspective on games, presented by experienced writers who know the intricacies of game development. Rudolf Inderst is a professor of Game Design with a focus on Digital Game Studies at the IU International University of Applied Science, department lead for Games at Titel kulturmagazin, editor of “DiGRA D-A-CH Game Studies Watchlist”, a weekly messenger newsletter about Game Culture and curator of @gamestudies at tiktok. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/communications

How and Why We Make Games (CRC Press, 2024) delves into the intricate realms of games and their creation, examining them through cultural, systemic, and, most notably, human lenses. It explores diverse themes such as authorship, creative responsibility, the tension between games as a product and games as a form of cultural expression, and the myth of a universal audience. The book analyzes why we should put politics in our games and how hyperrealism may be a trap. It also proposes a new framework for thinking about game narrative and a different paradigm for the production altogether. Topics tackled are approached from a multidisciplinary perspective, so be prepared to read both about Peter Paul Rubens and John Carmack. There are also graphs, system rhetorics discussions, and the market reality—stakeholders, return on investments, and the gaming bubble bursting. This book is written for readers passionate about the craft of making games, including journalists and industry professionals. It offers a more humanistic perspective on games, presented by experienced writers who know the intricacies of game development. Rudolf Inderst is a professor of Game Design with a focus on Digital Game Studies at the IU International University of Applied Science, department lead for Games at Titel kulturmagazin, editor of “DiGRA D-A-CH Game Studies Watchlist”, a weekly messenger newsletter about Game Culture and curator of @gamestudies at tiktok. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

How and Why We Make Games (CRC Press, 2024) delves into the intricate realms of games and their creation, examining them through cultural, systemic, and, most notably, human lenses. It explores diverse themes such as authorship, creative responsibility, the tension between games as a product and games as a form of cultural expression, and the myth of a universal audience. The book analyzes why we should put politics in our games and how hyperrealism may be a trap. It also proposes a new framework for thinking about game narrative and a different paradigm for the production altogether. Topics tackled are approached from a multidisciplinary perspective, so be prepared to read both about Peter Paul Rubens and John Carmack. There are also graphs, system rhetorics discussions, and the market reality—stakeholders, return on investments, and the gaming bubble bursting. This book is written for readers passionate about the craft of making games, including journalists and industry professionals. It offers a more humanistic perspective on games, presented by experienced writers who know the intricacies of game development. Rudolf Inderst is a professor of Game Design with a focus on Digital Game Studies at the IU International University of Applied Science, department lead for Games at Titel kulturmagazin, editor of “DiGRA D-A-CH Game Studies Watchlist”, a weekly messenger newsletter about Game Culture and curator of @gamestudies at tiktok. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/popular-culture

Con la seconda puntata dedicata alla storia dello sviluppo di Doom, entriamo nel vivo delle vicende di John Romero e John Carmack. Ormai stabilita nel nuovo quartier generale a Mesquite, Texas, id Software si approccia per la prima volta allo sviluppo di un gioco che sente completamente "suo", senza limiti di tempo o imposizioni di altro genere, e fermamente intenzionata a pubblicarsi in maniera totalmente indipendente. La magia scaturita dall'incontro dei due John raggiunge il suo apice, facendo succedere cose incredibili nello spazio di pochi mesi, al punto che per comprendere a fondo l'impatto del loro lavoro occorreranno anni, se non decenni. Allo stesso tempo, l'azienda inevitabilmente matura, e quella che era partita come l'avventura di un gruppo di persone mosse dalle stesse passioni e dalla determinazione nell'avere successo, diventa a tutti gli effetti un business milionario, con le conseguenze del caso. Tutto questo e molto altro nella seconda puntata della storia dello sviluppo di Doom. Se desiderate supportarmi: ko-fi.com/storiedivideogame Telegram @storiedivideogame Instagram @storiedivideogame email: storiedivideogamepodcast@gmail.com Bibliografia e disclaimer: https://medium.com/@storiedivideogamepodcast Learn more about your ad choices. Visit megaphone.fm/adchoices

Storie di Videogame è tra i finalisti degli Italian Podcast Awards 2024 nella categoria "Indie - Intrattenimento". Se desiderate contribuire con il vostro voto, potete farlo qui per la categoria premio del pubblico: https://bit.ly/SdVIlPod2024 Non sempre i momenti rivoluzionari sono spettacolari, plateali, anche solo memorabili. Il 20 settembre del 1990 l'industria del videogame è cambiata per sempre, eppure nessuno se n'è accorto, perlomeno non per diversi altri anni. In un angolo sperduto della Louisiana, un programmatore ventitreenne di nome John quel giorno ha avviato un floppy disk e ha deciso che i suoi contenuti erano molto più di un traguardo tecnologico. Eppure la nostra storia comincia molto prima, con due John che per una serie di coincidenze si incontrano e fanno scattare una magia irripetibile, che nulla può fermare. Insieme attraverseranno stati su stati, sfideranno tempeste e tormente di neve, trafugheranno PC di notte, lavoreranno senza sosta, uno per puro amore del codice, l'altro per l'irresistibile voglia di diventare milionario creando videogame leggendari. Questa non è solo la storia dello sviluppo di Doom. È anche, e soprattutto, l'incredibile storia di John Romero e John Carmack. Se desiderate supportarmi: ko-fi.com/storiedivideogame Telegram @storiedivideogame Instagram @storiedivideogame email: storiedivideogamepodcast@gmail.com Bibliografia e disclaimer: https://medium.com/@storiedivideogamepodcast Learn more about your ad choices. Visit megaphone.fm/adchoices

This week Ian Hamilton and David Heaney discuss Pimax, OpenXR 1.1 and the weekend discussion between John Carmack, Andrew Bosworth, and Palmer Luckey.

Recently Jensen Huang the CEO of NVIDIA attended the World Governments Summit and talked about the current state of AI and made some amazing claims from Sovern AI to regulations to howe everyone in a company could be a coder. This raised some eyebrows, including those belonging to John Carmack who mentioned that learning how to code is not about programs but the process of learning how to solve problems. In this episode we talk about different implementations of AI and the hardware used to run it.

Masters of Doom by David Kishner is our first non-fiction choice, and one of Tony's favorites. This tale focuses on John Carmack and John Romero, two programmers who shaped both video games and pop culture for a generation.

Book club returns this week, now that we've both read id Software founder John Romero's memoir, Doom Guy: Life in First Person. Join us for an extremely nerdy chat about Romero's early days as a teenage Apple II developer learning 6502 assembly, the pre-id team's blistering one-game-a-month output at Softdisk, technical innovations that led to id's most groundbreaking games, the internal strife that ultimately split the company, retrospective thoughts on a very different mid-'90s Doom 3 than the one we got later, and a bunch more.Pick up Doom Guy: https://www.amazon.com/Doom-Guy-Life-First-Person/dp/141975811XRomero's fan mail to Jordan Mechner: https://twitter.com/jmechner/status/1253777950299873283 Support the Pod! Contribute to the Tech Pod Patreon and get access to our booming Discord, a monthly bonus episode, your name in the credits, and other great benefits! You can support the show at: https://patreon.com/techpod

Randall Degges, Head of Developer Relations & Community at Snyk, joins Corey on Screaming in the Cloud to discuss Snyk's innovative AI strategy and why developers don't need to be afraid of security. Randall explains the difference between Large Language Models and Symbolic AI, and how combining those two approaches creates more accurate security tooling. Corey and Randall also discuss the FUD phenomenon to selling security tools, and Randall expands on why Snyk doesn't take that approach. Randall also shares some background on how he went from being a happy Snyk user to a full-time Snyk employee. About RandallRandall runs Developer Relations & Community at Snyk, where he works on security research, development, and education. In his spare time, Randall writes articles and gives talks advocating for security best practices. Randall also builds and contributes to various open-source security tools.Randall's realms of expertise include Python, JavaScript, and Go development, web security, cryptography, and infrastructure security. Randall has been writing software for over 20 years and has built a number of popular API services and open-source tools.Links Referenced: Snyk: https://snyk.io/ Snyk blog: https://snyk.io/blog/ TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: Welcome to Screaming in the Cloud, I'm Corey Quinn, and this featured guest episode is brought to us by our friends at Snyk. Also brought to us by our friends at Snyk is one of our friends at Snyk, specifically Randall Degges, their Head of Developer Relations and Community. Randall, thank you for joining me.Randall: Hey, what's up, Corey? Yeah, thanks for having me on the show, man. Looking forward to talking about some fun security stuff today.Corey: It's been a while since I got to really talk about a security-centric thing on this show, at least in order of recordings. I don't know if the one right before this is a security thing; things happen on the back-end that I'm blissfully unaware of. But it seems the theme lately has been a lot around generative AI, so I'm going to start off by basically putting you in the hot seat. Because when you pull up a company's website these days, the odds are terrific that they're going to have completely repositioned absolutely everything that they do in the context of generative AI. It's like, “We're a generative AI company.” It's like, “That's great.” Historically, I have been a paying customer of Snyk so that it does security stuff, so if you're now a generative AI company, who do I use for the security platform thing that I was depending upon? You have not done that. First, good work. Secondly, why haven't you done that?Randall: Great question. Also, you said a moment ago that LLMs are very interesting, or there's a lot of hype around it. Understatement of the last year, for sure [laugh].Corey: Oh, my God, it has gotten brutal.Randall: I don't know how many billions of dollars have been dumped into LLM in the last 12 months, but I'm sure it's a very high number.Corey: I have a sneaking suspicion that the largest models cost at least a billion each train, just based upon—at least retail price—based upon the simple economics of how long it takes to do these things, how expensive that particular flavor of compute is. And the technology is his magic. It is magic in a box and I see that, but finding ways that it applies in different ways is taking some time. But that's not stopping the hype beasts. A lot of the same terrible people who were relentlessly pushing crypto have now pivoted to relentlessly pushing generative AI, presumably because they're working through Nvidia's street team, or their referral program, or whatever it is. Doesn't matter what the rest of us do, as long as we're burning GPU cycles on it. And I want to distance myself from that exciting level of boosterism. But it's also magic.Randall: Yeah [laugh]. Well, let's just talk about AI insecurity for a moment and answer your previous question. So, what's happening in space, what's the deal, what is all the hype going to, and what is Snyk doing around there? So, quite frankly—and I'm sure a lot of people on your show say the same thing—but Snyk isn't new into, like, the AI space. It's been a fundamental part of our platform for many years now.So, for those of you listening who have no idea what the heck Snyk is, and you're like, “Why are we talking about this,” Snyk is essentially a developer security company, and the core of what we do is two things. The first thing is we help scan your code, your dependencies, your containers, all the different parts of your application, and detect vulnerabilities. That's the first part. The second thing we do is we help fix those vulnerabilities. So, detection and remediation. Those are the two components of any good security tool or security company.And in our particular case, we're very focused on developers because our whole product is really based on your application and your application security, not infrastructure and other things like this. So, with that being said, what are we doing at a high level with LLMs? Well, if you think about AI as, like, a broad spectrum, you have a lot of different technologies behind the scenes that people refer to as AI. You have lots of these large language models, which are generating text based on inputs. You also have symbolic AI, which has been around for a very long time and which is very domain specific. It's like creating specific rules and helping do pattern detection amongst things.And those two different types of applied AI, let's say—we have large language models and symbolic AI—are the two main things that have been happening in industry for the last, you know, tens of years, really, with LLM as being the new kid on the block. So, when we're talking about security, what's important to know about just those two underlying technologies? Well, the first thing is that large language models, as I'm sure everyone listening to this knows, are really good at predicting things based on a big training set of data. That's why companies like OpenAI and their ChatGPT tool have become so popular because they've gone out and crawled vast portions of the internet, downloaded tons of data, classified it, and then trained their models on top of this data so that they can help predict the things that people are putting into chat. And that's why they're so interesting, and powerful, and there's all these cool use cases popping up with them.However, the downside of LLMs is because they're just using a bunch of training data behind the scenes, there's a ton of room for things to be wrong. Training datasets aren't perfect, they're coming from a ton of places, and even if they weren't perfect, there's still the likelihood that things that are going to be generating output based on a statistical model isn't going to be accurate, which is the whole concept of hallucinations.Corey: Right. I wound up remarking on the livestream for GitHub Universe a week or two ago that the S in AI stood for security. One of the problems I've seen with it is that it can generate a very plausible looking IAM policy if you ask it to, but it doesn't actually do what you think it would if you go ahead and actually use it. I think that it's still squarely in the realm of, it's great at creativity, it's great at surface level knowledge, but for anything important, you really want someone who knows what they're doing to take a look at it and say, “Slow your roll there, Hasty Pudding.”Randall: A hundred percent. And when we're talking about LLMs, I mean, you're right. Security isn't really what they're designed to do, first of all [laugh]. Like, they're designed to predict things based on statistics, which is not a security concept. But secondly, another important thing to note is, when you're talking about using LLMs in general, there's so many tricks and techniques and things you can do to improve accuracy and improve things, like for example, having a ton of [contexts 00:06:35] or doing Few-Shot Learning Techniques where you prompt it and give it examples of questions and answers that you're looking for can give you a slight competitive edge there in terms of reducing hallucinations and false information.But fundamentally, LLMs will always have a problem with hallucinations and getting things wrong. So, that brings us to what we mentioned before: symbolic AI and what the differences are there. Well, symbolic AI is a completely different approach. You're not taking huge training sets and using machine learning to build statistical models. It's very different. You're creating rules, and you're parsing very specific domain information to generate things that are highly accurate, although those models will fail when applied to general-purpose things, unlike large language models.So, what does that mean? You have these two different types of AI that people are using. You have symbolic AI, which is very specific and requires a lot of expertise to create, then you have LLMs, which take a lot of experience to create as well, but are very broad and general purpose and have a capability to be wrong. Snyk's approach is, we take both of those concepts, and we use them together to get the best of both worlds. And we can talk a little bit about that, but I think fundamentally, one of the things that separates Snyk from a lot of other companies in the space is we're just trying to do whatever the best technical solution is to solve the problem, and I think we found that with our hybrid approach.Corey: I think that there is a reasonable distrust of AI when it comes to security. I mean, I wound up recently using it to build what has been announced by the time this thing airs, which is my re:Invent photo scavenger hunt app. I know nothing about front-end, so that's okay, I've got a robot in my pocket. It's great at doing the development of the initial thing, and then you have issues, and you want to add functionality, and it feels like by the time I was done with my first draft, that ten different engineers had all collaborated on this thing without ever speaking to one another. There was no consistent idiomatic style, it used a variety, a hodgepodge of different lists and the rest, and it became a bit of a Frankenstein's monster.That can kind of work if we're talking about a web app that doesn't have any sensitive data in it, but holy crap, the idea of applying that to, “Yeah, that's how we built our bank's security policy,” is one of those, “Let me know who said that, so they can not have their job anymore,” territory when the CSO starts [hunting 00:08:55].Randall: You're right. It's a very tenuous situation to be in from a security perspective. The way I like to think about it—because I've been a developer for a long time and a security professional—and I as much as anyone out there love to jump on the hype train for things and do whatever I can to be lazy and just get work done quicker. And so, I use ChatGPT, I use GitHub Copilot, I use all sorts of LLM-based tools to help me write software. And similarly to the problems when developers are not using LLM to help them write code, security is always a concern.Like, it doesn't matter if you have a developer writing every line of code themselves or if they're getting help from Copilot or ChatGPT. Fundamentally, the problem with security and the reason why it's such an annoying part of the developer experience, in all honesty, is that security is really difficult. You can take someone who's an amazing engineer, who has 30 years of experience, like, you can take John Carmack, I'm sure, one of the most legendary developers to ever walk the Earth, you could sit over his shoulder and watch him write software, right, I can almost guarantee you that he's going to have some sort of security problem in his code, even with all the knowledge he has in his head. And part of the reason that's the case is because modern security is way complicated. Like if you're building a web app, you have front-end stuff you need to protect, you have back-end stuff you need to protect, there's databases and infrastructure and communication layers between the infrastructure and the services. It's just too complicated for one person to fully grasp.And so, what do you do? Well, you basically need some sort of assistance from automation. You have to have some sort of tooling that can take a look at your code that you're writing and say, “Hey Randall, on line 39, when you were writing this function that's taking user data and doing something with it, you forgot to sanitize the user data.” Now, that's a simple example, but let's talk about a more complex example. Maybe you're building some authentication software, and you're taking users' passwords, and you're hashing them using a common hashing algorithm.And maybe the tooling is able to detect way using the bcrypt password hashing algorithm with a work factor of ten to create this password hash, but guess what, we're in 2023 and a work factor of ten is something that older commodity CPUs can now factor at a reasonable rate, and so you need to bump that up to 13 or 14. These are the types of things where you need help over time. It's not something that anyone can reasonably assume they can just deal with in their head. The way I like to think about it is, as a developer, regardless of how you're building code, you need some sort of security checks on there to just help you be productive, in all honesty. Like, if you're not doing that, you're just asking for problems.Corey: Oh, yeah. On some level, even the idea of it's just going to be very computationally expensive to wind up figuring out what that password hash is, well great, but one of the things that we've been aware of for a while is that given the rise of botnets and compromised computers, the attackers have what amounts to infinite computing capacity, give or take. So, if they want in, on some level, badly enough, they're going to find a way to get in there. When you say that every developer is going to sit down and write insecure code, you're right. And a big part of that is because, as imagined today, security is an incredibly high friction process, and it's not helped, frankly, by tools that don't have nuance or understanding.If I want to do a crap ton of busy work that doesn't feel like it moves the needle forward at all, I'll go around to resolving the hundreds upon hundreds of Dependabot alerts I have for a lot of my internal services that write my weekly newsletter. Because some dependency three deep winds up having a failure mode when it gets untrusted input of the following type, it can cause resource exhaustion. It runs in a Lambda function, so I don't care about the resources, and two, I'm not here providing the stuff that I write, which is the input with an idea toward exploiting stuff. So, it's busy work, things I don't need to be aware of. But more to the point, stuff like that has the high propensity to mask things I actually do care about. Getting the signal from noise from your misconfigured, ill-conceived alerting system is just awful. Like, a bad thing is there are no security things for you to work on, but a worse one is, “Here are 70,000 security things for you to work on.” How do you triage? How do you think about it?Randall: A hundred percent. I mean, that's actually the most difficult thing, I would say, that security teams have to deal with in the real world. It's not having a tool to help detect issues or trying to get people to fix them. The real issue is, there's always security problems, like you said, right? Like, if you take a look and just scan any codebase out there, any reasonably-sized codebase, you're going to find a ridiculous amount of issues.Some of those issues will be actual issues, like, you're not doing something in code hygiene that you need to do to protect stuff. A lot of those issues are meaningless things, like you said. You have a transitive dependency that some direct dependency is referring to, and maybe in some function call, there's an issue there, and it's alerting you on it even though you don't even use this function call. You're not even touching this class, or this method, or whatever it is. And it wastes a lot of time.And that's why the Holy Grail in the security industry in all honesty is prioritization and insights. At Snyk, we sort of pioneered this concept of ASPM, which stands for Application Security Posture Management. And fundamentally what that means is when you're a security team, and you're scanning code and finding all these issues, how do you prioritize them? Well, there's a couple of approaches. One approach is to use static analysis to try to figure out if these issues that are being detected are reachable, right? Like, can they be achieved in some way, but that's really hard to do statically and there's so many variables that go into it that no one really has foolproof solutions there.The second thing you can do is you can combine insights and heuristics from a lot of different places. So, you can take a look at static code analysis results, and you can combine them with agents running live that are observing your application, and then you can try to determine what stuff is actually reachable given this real world heuristic, and you know, real time information and mapping it up with static code analysis results. And that's really the holy grail of figuring things out. We have an ASPM product—or maybe it's a feature, an offering, if you will, but it's something that Snyk provides, which gives security admins a lot more insight into that type of operation at their business. But you're totally right, Corey, it's a really difficult problem to solve, and it burns a lot of goodwill in the security community and in the industry because people spend a lot of time getting false alerts, going through stuff, and just wasting millions of hours a year, I'm sure.Corey: That's part of the challenge, too, is that it feels like there are two classes of problems in the world, at least when it comes to business. And I found this by being on the wrong side of it, on some level. Here on the wrong side, it's things like caring about cost optimization, it's caring about security, it's remembering to buy fire insurance for your building. You can wind up doing all of those things—and you should be doing them, but you can over-index on them to the point where you run out of money and your business dies. The proactive side of that fence is getting features to market sooner, increasing market share, growing revenue, et cetera, and that's the stuff that people are always going to prioritize over the back burner stuff. So, striking a balance between that is always going to be a bit of a challenge, and where people land on that is going to be tricky.Randall: So, I think this is a really good bridge. You're totally right. It's expensive to waste people's time, basically, is what you're saying, right? You don't want to waste people's time, you want to give them actionable alerts that they can actually fix, or hopefully you fix it for them if you can, right? So, I'm going to lay something out, which is, in our opinion, is the Snyk way, if you will, that you should be approaching these developer security issues.So, let's take a look at two different approaches. The first approach is going to be using an LLM, like, let's say, just ChatGPT. We'll call them out because everyone knows ChatGPT. The first approach we're going to take is—Corey: Although I do insist on pronouncing it Chat-Gippity. But please, continue.Randall: [laugh]. Chat-Gippity. I love that. I haven't heard that before. Chat-Gippity. Sounds so much more fun, you know?Corey: It sounds more personable. Yeah.Randall: Yeah. So, you're talking to Chat-Gippity—thank you—and you paste in a file from your codebase, and you say, “Hey, Chat-Gippity. Here's a file from my codebase. Please help me identify security issues in here,” and you get back a long list of recommendations.Corey: Well, it does more than that. Let me just interject there because one of the things it does that I think very few security engineers have mastered is it does it politely and constructively, as opposed to having an unstated tone of, “You dumbass,” which I beli—I've [unintelligible 00:17:24] with prompts on this. You can get it to have a condescending, passive-aggressive tone, but you have to go out of your way to do it, as opposed to it being the default. Please continue.Randall: Great point. Also, Daniel from Unsupervised Learning, by the way, has a really good post where he shows you setting up Chat-Gippity to mimic Scarlett Johansson from the movie Her on your phone so you can talk to it. Absolutely beautiful. And you get these really fun, very nice responses back and forth around your code analysis. So, shout out there.But going back to the point. So, if you get these responses back from Chat-Gippity, and it's like, “Hey look, here's all the security issues,” a lot of those things will be false alerts, and there's been a lot of public security research done on these analysis tools just give you information. A lot of those things will be false alerts, some things will be things that maybe they're a real problem, but cannot be fixed due to transitive dependencies, or whatever the issues are, but there's a lot of things you need to do there. Now, let's take it up one notch, let's say instead of using Chat-Gippity directly, you're using GitHub Copilot. Now, this is a much better situation for working with code because now what Microsoft is doing is let's say you're running Copilot inside of VS Code. It's able to analyze all the files in your codebase, and it's able to use that additional context to help provide you with better information.So, you can talk to GitHub Copilot and say, “Hey, I'd really like to know what security issues are in this file,” and it's going to give you maybe a little bit better answers than ChatGPT directly because it has more context about the other parts of your codebase and can give you slightly better answers. However, because these things are LLMs, you're still going to run into issues with accuracy, and hallucinations, and all sorts of other problems. So, what is the better approach? And I think that's fundamentally what people want to know. Like, what is a good approach here?And on the scanning side, the right approach in my mind is using something very domain specific. Now, what we do at Snyk is we have a symbolic AI scanning engine. So, we take customers' code, and we take an entire codebase so you have access to all the files and dependencies and things like this, and you take a look at these things. And we have a security analyst team that analyzes real-world security issues and fixes that have been validated. So, we do this by pulling lots of open-source projects as well as other security information that we originally produced, and we define very specific rules so that we can take a look at software, and we can take a look at these codebases with a very high degree of certainty.And we can give you a very actionable list of security issues that you need to address, and not only that, we can show you how is going to be the best way to address them. So, with that being said, I think the second side to that is okay, if that's a better approach on the scanning side, maybe you shouldn't be using LLMs for finding issues; maybe you should be using them for fixing security issues, which makes a lot of sense. So, let's say you do it the Snyk way, and you use symbolic AI engines and you sort of find these issues. Maybe you can just take that information then, in combination with your codebase, and fire off a request to an LLM and say, “Hey Chat-Gippity, please take this codebase, and take this security information that we know is accurate, and fix this code for me.” So, now you're going one step further.Corey: One challenge that I've seen, especially as I've been building weird software projects with the help of magic robots from the future, is that a lot of components, like in React for example, get broken out into their own file. And pasting a file in is all well and good, but very often, it needs insight into the rest of the codebase. At GitHub Universe, something that they announced was Copilot Enterprise, which trains Copilot on the intricacies of your internal structures around shared libraries, all of your code, et cetera. And in some of the companies I'm familiar with, I really believe that's giving a very expensive, smart robot a form of brain damage, but that's neither here nor there. But there's an idea of seeing the interplay between different components that individual analysis on a per-file basis will miss, feels to me like something that needs a more holistic view. Am I wrong on that? Am I oversimplifying?Randall: You're right. There's two things we need to address. First of all, let's say you have the entire application context—so all the files, right—and then you ask an LLM to create a fix for you. This is something we do at Snyk. We actually use LLMs for this purpose. So, we take this information we ask the LLM, “Hey, please rewrite this section of code that we know has an issue given this security information to remove this problem.” The problem then becomes okay, well, how do you know this fix is accurate and is not going to break people's stuff?And that's where symbolic AI becomes useful again. Because again, what is the use case for symbolic AI? It's taking very specific domains of things that you've created very specific rule sets for and using them to validate things or to pass arbitrary checks and things like that. And it's a perfect use case for this. So, what we actually do with our auto-fix product, so if you're using VS Code and you have Copilot, right, and Copilot's spitting out software, as long as you have Snyk in the IDE, too, we're actually taking a look at those lines of code Copilot just inserted, and a lot of the time, we are helping you rewrite that code to be secured using our LLM stuff, but then as soon as we get that fixed created, we actually run it through our symbolic engine, and if we're saying no, it's actually not fixed, then we go back to the LLM, we re-prompt it over and over again until we get a working solution.And that's essentially how we create a much more sophisticated iteration, if you will, of using AI to really help improve code quality. But all that being said, you still had a good point, which is maybe if you're using the context from the application, and people aren't doing things properly, how does that impact what LLMs are generating for you? And an interesting thing to note is that our security team internally here, just conducted a really interesting project, and I would be angry at myself if I didn't explain it because I think it's a very cool concept.Corey: Oh, please, I'm a big fan of hearing what people get up to with these things in ways that is real-world stories, not trying to sell me anything, or also not dunking on, look what I saw on the top of Hacker News the other day, which is, “If all you're building is something that talks to Chat-Gippity's API, does some custom prompting, and returns a response, you shouldn't be building it.” I'm like, “Well, I built some things that do exactly that.” But I'm also not trying to raise $6 million in seed money to go and productize it. I'm just hoping someone does it better eventually, but I want to use it today. Please tell me a real world story about something that you've done.Randall: Okay. So, here's what we did. We went out and we found a bunch of GitHub projects, and we tried to analyze them ourselves using a bunch of different tools, including human verification, and basically give it a grade and say, “Okay, this project here has really good security hygiene. Like, there's not a lot of issues in the code, things are written in a nice way, the style and formatting is consistent, the dependencies are up-to-date, et cetera.” Then we take a look at multiple GitHub repos that are the opposite of that, right? Like, maybe projects that hadn't been maintained in a long time, or were written in a completely different style where you have bad hygienic practices, maybe you have hard-coded secrets, maybe you have unsanitized input coming from a user or something, right, but you take all these things.So, we have these known examples of good and bad projects. So, what did we do? Well, we opened them up in VS Code, and we basically got GitHub Copilot and we said, “Okay, what we're going to do is use each of these codebases, and we're going to try to add features into the projects one at a time.” And what we did is we took a look at the suggested output that Copilot was giving us in each of these cases. And the interesting thing is that—and I think this is super important to understand about LLMs, right—but the interesting thing is, if we were adding features to a project that has good security hygiene, the types of code that we're able to get out of LLMs, like, GitHub Copilot was pretty good. There weren't a ton of issues with it. Like, the actual security hygiene was, like, fairly good.However, for projects where there were existing issues, it was the opposite. Like we'd get AI recommendations showing us how to write things insecurely, or potentially write things with hard-coded secrets in it. And this is something that's very reproducible today in, you know, what is it right now, middle of November 2023. Now, is it going to be this case a year from now? I don't necessarily know, but right now, this is still a massive problem, so that really reinforces the idea that not only when you're talking about LLMs is the training set they used to build the model's important, but also the context in which you're using them is incredibly important.It's very easy to mislead LLMs. Another example of this, if you think about the security scanning concept we talked about earlier, imagine you're talking to Chat-Gippity, and you're [pasting 00:25:58] in a Python function, and the Python function is called, “Completely_safe_not_vulnerable_function.” That's the function name. And inside of that function, you're backdooring some software. Well, if you ask Chat-Gippity multiple times and say, “Hey, the temperature is set to 1.0. Is this code safe?”Sometimes you'll get the answer yes because the context within the request that has that thing saying this is not a vulnerable function or whatever you want to call it, that can mislead the LLM output and result in problems, you know? It's just, like, classic prompt injection type issues. But there's a lot of these types of vulnerabilities still hidden in plain sight that impact all of us, and so it's so important to know that you can't just rely on one thing, you have to have multiple layers: something that helps you with things, but also something that is helping you fix things when needed.Corey: I think that's the key that gets missed a lot is the idea of it's not just what's here, what have you put here that shouldn't be; what have you forgotten? There's a different side of it. It's easy to do a static analysis and say, “Oh, you're not sanitizing your input on this particular form.” Great. Okay—well, I say it's easy. I wish more people would do that—but then there's also a step beyond of, what is it that someone who has expertise who's been down this road before would take one look at your codebase and say, “Are you making this particular misconfiguration or common misstep?”Randall: Yeah, it's incredibly important. You know, like I said, security is just one of those things where it's really broad. I've been working in security for a very long time and I make security mistakes all the time myself.Corey: Yeah. Like, in your developer environment right now, you ran this against the production environment and didn't get permissions errors. That is suspicious. Tell me more about your authentication pattern.Randall: Right. I mean, there's just a ton of issues that can cause problems. And it's… yeah, it is what it is, right? Like, software security is something difficult to achieve. If it wasn't difficult, everyone would be doing it. Now, if you want to talk about, like, vision for the future, actually, I think there's some really interesting things with the direction I see things going.Like, a lot of people have been leaning into the whole AI autonomous agents thing over the last year. People started out by taking LLMs and saying, “Okay, I can get it to spit out code, I can get it to spit out this and that.” But then you go one step further and say, “All right, can I get it to write code for me and execute that code?” And OpenAI, to their credit, has done a really good job advancing some of the capabilities here, as well as a lot of open-source frameworks. You have Langchain, and Baby AGI, and AutoGPT, and all these different things that make this more feasible to give AI access to actually do real meaningful things.And I can absolutely imagine a world in the future—maybe it's a couple of years from now—where you have developers writing software, and it could be a real developer, it could be an autonomous agent, whatever it is. And then you also have agents that are taking a look at your software and rewriting it to solve security issues. And I think when people talk about autonomous agents, a lot of the time they're purely focusing on LLMs. I think it's a big mistake. I think one of the most important things you can do is focus on the very niche symbolic AI engines that are going to be needed to guarantee accuracy with these things.And that's why I think the Snyk approach is really cool, you know? We dedicated a huge amount of resources to security analysts building these very in-depth rule sets that are guaranteeing accuracy on results. And I think that's something that the industry is going to shift towards more in the future as LLMs become more popular, which is, “Hey, you have all these great tools, doing all sorts of cool stuff. Now, let's clean it up and make it accurate.” And I think that's where we're headed in the next couple of years.Corey: I really hope you're right. I think it's exciting times, but I also am leery when companies go too far into boosterism where, “Robots are going to do all of these things for us.” Maybe, but even if you're right, you sound psychotic. And that's something that I think gets missed in an awful lot of the marketing that is so breathless with anticipation. I have to congratulate you folks on not getting that draped over your message, once again.My other favorite part of your messaging when you pull up snyk.com—sorry, snyk.io. What is it these days? It's the dot io, isn't it?Randall: Dot io. It's hot.Corey: Dot io, yes.Randall: Still hot, you know?Corey: I feel like I'm turning into a boomer here where, “The internet is dot com.”Randall: [laugh].Corey: Doesn't necessarily work that way. But no, what I love is the part where you have this fear-based marketing of if you wind up not using our product, here are all the terrible things that will happen. And my favorite part about that marketing is it doesn't freaking exist. It is such a refreshing departure from so much of the security industry, where it does the fear, uncertainty, and doubt nonsense stuff that I love that you don't even hint in that direction. My actual favorite thing that is on your page, of course, is at the bottom. If you mouse over the dog in the logo at the bottom of the page, it does the quizzical tilting head thing, and I just think that is spectacular.Randall: So, the Snyk mascot, his name is Pat. He's a Doberman and everyone loves him. But yeah, you're totally right. The FUD thing is a real issue in security. Fear, uncertainty, and doubt, it's the way security companies sell products to people. And I think it's a real shame, you know?I give a lot of tech talks, at programming conferences in particular, around security and cryptography, and one of the things I always start out with when I'm giving a tech talk about any sort of security or cryptography topic is I say, “Okay, how many of you have landed in a Stack Overflow thread where you're talking about a security topic and someone replies and says, ‘oh, a professional should be doing this. You shouldn't be doing it yourself?'” That comes up all the time when you're looking at security topics on the internet. Then I ask people, “How many of you feel like security is this, sort of like, obscure, mystical arts that requires a lot of expertise in math knowledge, and all this stuff?” And a lot of people sort of have that impression.The reality though is security, and to some extent, cryptography, it's just like any other part of computer science. It's something that you can learn. There's best practices. It's not rocket science, you know? Maybe it is if you're developing a brand-new hashing algorithm from scratch, yes, leave that to the professionals. But using these things is something everyone needs to understand well, and there's tons of material out there explaining how to do things right. And you don't need to be afraid of this stuff, right?And so, I think, a big part of the Snyk message is, we just want to help developers just make their code better. And what is one way that you're going to do a better job at work, get more of your code through the PR review process? What is a way you're going to get more features out? A big part of that is just building things right from the start. And so, that's really our focus in our message is, “Hey developers, we want to be, like, a trusted partner to help you build things faster and better.” [laugh].Corey: It's nice to see it, just because there's so much that just doesn't work out the way that we otherwise hope it would. And historically, there's been a tremendous problem of differentiation in the security space. I often remark that at RSA, there's about 12 companies exhibiting. Now sure, there are hundreds of booths, but it's basically the same 12 things. There's, you know, the entire row of firewalls where they use different logos and different marketing words on the slides, but they're all selling fundamentally the same thing. One of things I've always appreciated about Snyk is it has never felt that way.Randall: Well, thanks. Yeah, we appreciate that. I mean, our whole focus is just developer security. What can we do to help developers build things securely?Corey: I mean, you are sponsoring this episode, let's be clear, but also, we are paying customers of you folks, and that is not—those things are not related in any way. What's the line that we like to use that we stole from the RedMonk folks? “You can buy our attention, but not our opinion.” And our opinion of what you folks are up to is then stratospherically high for a long time.Randall: Well, I certainly appreciate that as a Snyk employee who is also a happy user of the service. The way I actually ended up working at Snyk was, I'd been using the product for my open-source projects for years, and I legitimately really liked it and I thought this was cool. And yeah, I eventually ended up working here because there was a position, and you know, a friend reached out to me and stuff. But I am a genuinely happy user and just like the goal and the mission. Like, we want to make developers' lives better, and so it's super important.Corey: I really want to thank you for taking the time to speak with me about all this. If people want to learn more, where's the best place for them to go?Randall: Yeah, thanks for having me. If you want to learn more about AI or just developer security in general, go to snyk.io. That's S-N-Y-K—in case it's not clear—dot io. In particular, I would actually go check out our [Snyk Learn 00:34:16] platform, which is linked to from our main site. We have tons of free security lessons on there, showing you all sorts of really cool things. If you check out our blog, my team and I in particular also do a ton of writing on there about a lot of these bleeding-edge topics, and so if you want to keep up with cool research in the security space like this, just check it out, give it a read. Subscribe to the RSS feed if you want to. It's fun.Corey: And we will put links to that in the [show notes 00:34:39]. Thanks once again for your support, and of course, putting up with my slings and arrows.Randall: And thanks for having me on, and thanks for using Snyk, too. We love you [laugh].Corey: Randall Degges, Head of Developer Relations and Community at Snyk. This featured guest episode has been brought to us by our friends at Snyk, and I'm Corey Quinn. If you've enjoyed this episode, please leave a five-star review on your podcast platform of choice, whereas if you've hated this episode, please leave a five-star review on your podcast platform of choice, along with an angry comment that I will get to reading immediately. You can get me to read it even faster if you make sure your username is set to ‘Dependabot.'Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business, and we get to the point. Visit duckbillgroup.com to get started.

A video by IGN claiming “Baldur's Gate 3 is Causing Some Developers to Panic” has stirred up quite a buzz in the gaming world this week. The video (which suggests that game devs are unhappy about being expected to meet the high standard set by titles like Baldur's Gate 3) already has over a million views on YouTube alone. The idea has struck a cord with gamers who are tired of the microtransaction-leaden glitch fests that make up much of AAA gaming these days. However, as is usually the case, the truth lies somewhere in the middle. We look at both sides of the issue posed by this video and give our take on concrete ways gamers can help to steer the industry in a better direction.We'll also be discussing Xbox's new "strike" system that's intended to curb online harassment, how Netflix is testing game streaming on smart TVs and desktop browsers, and how John Carmack finally made his return to QuakeCon for the first time in a decade.Finally, class is in session with Professor Ryebread in our Gaming History 101 segment. In this episode, we're taking a closer look at how Japan avoided the 1983 video game crash.Thank you to The Leetist Podcast for their long sponsorship! Listen to their episodes at linktr.ee/LeetistPodcast.We love our sponsors! Please help us support those who support us!- Check out the Retro Game Club Podcast at linktr.ee/retrogameclub - Connect with CafeBTW at linktr.ee/cafebtw- Visit A Gamer Looks At 40 at linktr.ee/agamerlooksat40 Join the Stand Up To Cancer #Up2Us Stream Team!- standuptocancer.org/Streaming/#Up2UsHosts: @wrytersview, @retrogamebrews, @donniegretroOpening theme: "Gamers Week Theme" by Akseli TakanenPatron theme: "Chiptune Boss" by @donniegretroClosing theme: "Gamers Week Full-Length Theme" by Akseli TakanenSupport the show

Join us at our YouTube channel to join in LIVE for upcoming author interviews!  https://tinyurl.com/dabbleyoutube The inspiring autobiography of video game designer and DOOM cocreator John Romero Doom Guy: Life in First Person is the long-awaited autobiography of gaming's original rock star and the cocreator of DOOM, Quake, and Wolfenstein—some of the most recognizable and important titles in video game history. Credited with the invention of the first-person shooter, a genre that continues to dominate the market today, he is gaming royalty. Told in remarkable detail, a byproduct of his hyperthymesia, Romero recounts his storied career—from his early days submitting Apple II code to computer magazines and sneaking computers out of the back door of his day job to do programming projects at night in his garage to a high-profile falling out with his id Software cofounder John Carmack, as well as his continued role in the gaming industry today as the managing director of Romero Games Ltd. His story is truly one of a self-made man, founding multiple companies after a childhood filled with violence and abuse drove him to video game design where he could create new worlds and places to escape to. An alcoholic father, a racist grandfather who did not approve of Romero's parents' mixed-race coupling, and a grandmother who once ran a brothel in Mexico combine for an illuminating story of his youth—a story that has never before been revealed. After years in the gaming spotlight, Romero is now telling his story—the whole story—in his own words.

Welcome to Dev Game Club, where this week we add another bonus to our series on Metroid Prime with an interview with Jack Mathews, a technical lead on the title. We cover a lot of ground in this one, folks, which is appropriate for a Metroid game. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Podcast breakdown: 1:10 Interview 1:03:17 Break 1:03:53 Outro Issues covered: scanning for IP addresses, supporting QuakeWorld, bored by anything but coding, the Wild West, the Dallas studio, feeling like a Nintendo series, similarities between the glide renderer and the GameCube hardware, a central technology group, arriving to a bit of a mess, a lot of lost undirected work, taking veteran console first person success and turning MetaForce into it, cancelling titles, unhappy marriages, starting on day one, building data streaming, hardware meant for streaming, pattern AI, dynamically modifying for performance, working on a world editor, "you know, a duck," building practical things, there being a lot of fans, bucking against doing first-person, limitations of the controller, working towards accessibility on the controller, having to be 60 and having to stay there, optimizing for the worst case to avoid a hitchy mess, avoiding performance traps in specular and bump mapping, being unable to choke the memory pipelines, throwing up flashing if you went under 60 ever, taking something away to justify anything else, software is a gas that will expand, limiting the content rather than expecting technical wizardry, testing Nintendo's demos, faking specular, being consistent and polished, having a sytem rather than scriptosaurus rex, planners and not designers, limitations, being a bad engineer or a bad artist, knowing where you fit, seeing the constraints in the game, Tim's crisis of faith, Love and Lemons plug!, targeting games where we know people, giving people constraints, relying on designers too much to accomplish goals, embracing constraints. Games, people, and influences mentioned or discussed: GameSpy, Quake, 3dfx Voodoo, Ritual Entertainment, Retro Studios, Armature Studio, reCore, Dead Star, Bluepoint, Shadow of the Colossus, Demons's Souls, Joe Powell, Tim Cook, id Software, John Carmack, Quake World, Zoid Kirsch, glQuake, Gary McTaggart, Charlie Brown, LucasArts, PowerVR, Ion Storm, Rare, GoldenEye, Andy O'Neal, Raven Blade, Shigeru Miyamoto, MetaForce, Jeff Spangenberg, Iguana Games, Turok: Dinosaur Hunter, NFL Madden (series), Twisted Metal, Steve Baum, Steve McRay, Matt Kimberling, Akintunde Omitowoju, Frank Lafuente, Unreal, Mark Haigh-Hutchinson, Conker's Bad Fur Day, Mike Abrash, PS3, Jason Behr, Karl Deckard, Mark Pacini, Mike Wikan, Legend of Zelda, Love and Lemons, God of War: Ragnarok, Sony, Kynan Person, Dave Bogan, Daron Stinnett, Dark Forces, Outlaws, Matt Tateishi, Indiana Jones & the Infernal Machine, Jedi Knight, Kirk Hamilton, Aaron Evers, Mark Garcia.  Next time: ??? Tim and I to discuss Twitch: brettdouville or timlongojr, instagram:timlongojr, Twitter: @timlongojr and @devgameclub Discord DevGameClub@gmail.com

John Romero is an award-winning game designer, level designer and programmer whose work spans over 130 games, 107 of which have been published commercially, including the iconic works Wolfenstein 3D, DOOM and Quake. He has worked in the mobile, hardcore, mid-core, casual and MMO space.  John has co-founded eight successful game companies including the likes of id Software, Gazillion Entertainment and, most recently, Romero Games which celebrated its 7th anniversary in 2022. He is considered to be among the world's top game designers, and his games have won well over 100 awards.  One of the earliest indie developers, John began working in the game space in 1979 on mainframes before moving to the Apple II in 1982. He is a completely self-taught programmer, designer and artist, having drawn his inspirations from early Apple II programmers. He co-owns Romero Games.  John's autobiography DOOM Guy: Life in First Person is getting released in July 2023. Industry-redefining breakthroughs in design and tech during his time at id Software made DOOM and Quake cultural phenomena, and this thrilling story recounts every step of the process, from collaborative, heavy metal–fueled days spent crafting the industry's most revolutionary and cutting-edge games to a high-profile falling-out with id cofounder John Carmack. After years in the gaming spotlight, Romero is now telling his story—the whole story—shedding new light on the development of his games and his business partnerships, from the highest highs to the lowest lows, sharing insights about design, code, the industry, and his career right up to today. Sharing gratitude for a lifetime in games, Romero reveals the twists and turns that led him, ultimately, to be called DOOM Guy. A copy of the book can be purchased here: https://www.amazon.com/Doom-Guy-Life-First-Person/dp/141975811X. In this Podcast, Allan McKay interviews John Romero, the legendary Creator of DOOM and Co-Creator of id Software, about his start as a programmer, overcoming life struggles, getting his start as a programmer, launching id Software and the success of Commander Keen, the cultural impact of DOOM, transitioning to 3D – and the release of his first autobiography DOOM GUY: LIFE IN FIRST PERSON. For more show notes, visit www.allanmckay.com/412.  

Doom Guy: Life in First Person by John Romero https://amzn.to/44PgnUL The inspiring, long-awaited autobiography of video game designer and DOOM cocreator John Romero John Romero, gaming's original rock star, is the cocreator of DOOM, Quake, and Wolfenstein 3-D, some of the biggest video games of all time. Considered the godfather of the first- person shooter, a genre that continues to dominate the market today, he holds a unique place in gaming history. In DOOM Guy: Life in First Person, Romero chronicles, for the first time, his difficult childhood and storied career, beginning with his early days submitting Apple II game code to computer magazines and sneaking computers out the back door of his day job to write code at night. Industry-redefining breakthroughs in design and tech during Romero's time at id Software made DOOM and Quake cultural phenomena, and this thrilling story recounts every step of the process, from collaborative, heavy metal–fueled days spent crafting the industry's most revolutionary and cutting-edge games to a high-profile falling-out with id cofounder John Carmack. After years in the gaming spotlight, Romero is now telling his story—the whole story—shedding new light on the development of his games and his business partnerships, from the highest highs to the lowest lows, sharing insights about design, code, the industry, and his career right up to today. Sharing gratitude for a lifetime in games, Romero reveals the twists and turns that led him, ultimately, to be called DOOM Guy. ABOUT JOHN ROMERO Computer and video game legend John Romero has designed and published more than 130 games since his first sale at the age of 16. A teenage programming prodigy, his major achievements include co-inventing a series of revolutionary computer games—DOOM, Quake, Wolfenstein 3-D, and Commander Keen—that launched the industry's most popular genre, the first-person shooter.

ChatGPT+ & AI Powered Bing; more pink slips at Dell, Zoom, Disney & Yahoo; WB to keep Discovery+ stand-alone option; Amazon only hiring students & recent grads for entry-level positions; Twitter flounders around for a plan; Musk not liable for anything he says; Google unveils Bard, makes $100 billion mistake; MetaBirkin NFT lawsuit; M3GAN; Andy Prieboy, Miles Hunt live; Minions: the Rise of Gru; Clarkson's Farm; Nuclear War Simulator; Pen.Tips, Paperlike; the Unmaking Engine; Life: What Nat To Do; signing away your voice; Disney World, Star Wars Hotel prices; ChatGPT hallucinations; Wazin' with Dave; KITT.Sponsors:Lectric eBikes - Start your next adventure with a Lectric XP 3.0 today. Visit lectricebikes.com to learn more, and mention GOG at checkout because you love us!Show notes at https://gog.show/588FOLLOW UPExclusive Q&A: John Carmack's ‘Different Path' to Artificial General IntelligenceI Tried Microsoft's New AI-Powered Bing. Search Will Never Be the Same.IN THE NEWSDell to cut roughly 6,650 jobs as PC sales dropZoom is laying off around 1,300 workersIger Announces Layoffs as Disney Grapples With Streaming LossesExclusive: Yahoo to lay off more than 20% of staff as it shrinks ad bizWarner Bros. Discovery to Keep Discovery+, in Strategy ShiftLeaked emails show Amazon will only hire students and recent graduates for entry level software engineering positionsTwitter Considers Charging Brands $1000 Per Month to Stay VerifiedTwitter Will Share Ad Revenue With Creators. But There's A CatchTrump White House asked Twitter to take down Chrissy Teigen's mean tweet about himTwitter reportedly had only 180,000 subscribers in the US last monthMusk Found Not Liable in ‘Funding Secured' Tesla TrialGoogle unveils Bard, its ChatGPT rivalBard's first public mistake cost Google $100 billionGoogle will soon default to blurring explicit image search resultsHermes wins U.S. trademark trial over 'MetaBirkin' NFTsMEDIA CANDYM3GANLinda Rondstadt: The Sound of My VoiceANDY PRIEBOY - LIVE AT LARGO - 1997-ISHMiles Hunt Live in LeedsMinions: The Rise of GruThe Peripheral Season 2 Renewed At Prime VideoClarkson's Farm Season 2APPS & DOODADSNuclear War Simulator | Out Now“What if?”: Academic Scenario Simulation Tool “Nuclear War Simulator” Launches Today on SteamOPEN-RISOPPen.Tips Textured Feeling PenMatPaperlikeAT THE LIBRARYThe Unmaking Engine (The World Walker Series Book 2) by Ian W. SainsburyLife: What Nat to Do - A Hot Take on the Advice You Never Asked For by Nat's What I ReckonNat's What I Reckon on YouTubeSECURITY HAH!The CyberWireDave BittnerHacking HumansCaveatControl Loop‘Disrespectful to the Craft:' Actors Say They're Being Asked to Sign Away Their Voice to AIDisney World's struggling $5,000 Star Wars hotel slashes prices, cancels summer datesChatGPT Can Be Broken by Entering These Strange Words, And Nobody Is Sure WhyDave Bittner on WazeCLOSING SHOUT-OUTSBurt Bacharach, one of pop's greatest songwriters, dies aged 94See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The motley range of games we got into over the holidays includes Card Shark, Dota 2, Sky: Children of the Light, and COD: Warzone 2.0 and DMZ. (Next stop: Escape From Tarkov.) Also: new year's etiquette, 3DS archeology, the YouTube recommendations challenge, and more! Advertise on The Nextlander Podcast at Gumball.fm, or support us on Patreon! CHAPTERS (00:00:00) NOTE: Some timecodes may be inaccurate in versions other than the ad-free Patreon version due to dynamic ad insertions. Please use caution if skipping around to avoid spoilers.(00:00:10) Intro(00:03:43) When is it too late to wish someone a Happy New Year(00:06:35) How are these kids getting a 3DS?!(00:12:56) Show Rundown(00:13:16) Upgrading that PS5!(00:20:03) Pentiment [Xbox One, Xbox Series X|S, PC (Microsoft Windows)] on Nov 15, 2022(00:20:25) NOTE: Some light story structure talk about Pentiment throughout. Nothing explicit.(00:31:37) First Break(00:31:50) The Case of the Golden Idol [PC (Microsoft Windows)] on Oct 13, 2022(00:35:45) Card Shark [Nintendo Switch, Mac, PC (Microsoft Windows)] on Jun 02, 2022(00:39:31) Grounded [Xbox Series X|S, Xbox One] on Sep 27, 2022(00:44:01) Vampire Survivors [Xbox Series X|S, Xbox One] on Nov 10, 2022(00:47:11) Dota 2 [PC (Microsoft Windows), Mac, Linux] on Jul 09, 2013(00:52:43) Sky: Children of the Light [PlayStation 4] on Dec 2022(00:57:22) Call of Duty: Warzone 2.0 [PlayStation 5, PlayStation 4, PC (Microsoft Windows), Xbox One, Xbox Series X|S] on Nov 16, 2022(01:06:59) Second Break(01:07:04) News(01:08:06) Epic pays $520 million in settlements(01:15:14) Epic also shutting down some online services and games(01:24:48) John Carmack leaves Meta and has some words(01:29:42) Chris Metzen returns to World of Warcraft(01:35:42) Hitman 3 enters a World of Assassination(01:41:37) Emails [podcast at nextlander dot com](01:52:18) Oh yeah? What's in your YouTube recommended list?!(01:58:05) Wrapping up and thanks(01:59:04) Mysterious Benefactor Tier Shoutouts(02:01:01) Nextlander content updates(02:01:35) See ya!See omnystudio.com/listener for privacy information.

Save 90% off your first for months of Freshbooks at https://www.freshbooks.com/wan Go to https://www.masterclass.com/WAN to purchase an annual MasterClass membership and get one free Timestamps (Courtesy of NoKi1119) Note: Timing may be off due to sponsor change 0:00 Chapters 2:11 Intro ft. unlisting YouTube stream 2:52 Topic #1 - LMG reached Microsoft for Modern Standby 3:30 Explaining S0 & S3 states of sleeping 6:06 Discussing the removal of S3 from MS laptops 7:35 Linus on "Why not shut it down lol" & comments from LTT's video 9:12 Feedback on LTT's video of Linus's tour to Micron 9:48 Power loss due to weather, preparing UPS 12:26 Topic #2 - John Carmack leaves Oculus 12:50 Meta's policies, John on efficiency & developers 16:14 Keen Technologies' AGI, what VR should have been 18:27 Linus on mutual agreements with co-workers 20:05 Explaining why WAN was interrupted 20:32 Sponsors 23:20 Topic #3 - Anker's eufy admits they lied 23:51 Anker's blog post, how much does this tarnish the brand? 25:35 How to choose discussion points, Riley's sad e-mail 27:35 What would you do if you became the CEO a week before? 31:42 Thoughts on Anker's response 33:37 Topic #4 - NIVDIA axes GameStream, recommends Steam Link 36:36 Why petitions won't work 39:32 Discussing Apple's continuity, wireless GTX 460 video 40:50 NVIDIA's history of abandoning products 41:57 Why "smart home" technology is a struggle 42:14 SHIELD's advertising & commitments, Google's Nest Audio 44:52 Power is back 45:50 Topic #5 - Lawyer mother denied entry after AI face recognition 46:27 MSG entertainment's statement, Linus & Luke on AI recognition 49:44 This might go to supreme court, discussing outdated legislations 51:29 Jake joins the WAN show, Luke's roof caved in 52:22 Linus & Luke reacting video, commends Luke's professionalism 53:33 Linus's sense of humor, mentioning LTT's WD video 55:35 Topic #6 - AI uses podcast data to generate topics 57:23 Luke says which was by ChatGPT, Linus shows WAN notes 59:22 ChatGPT uses data from huberman lab to generate a new article 1:02:21 Stance on data set training, discussing WAN show 1:06:10 "Free content," ethicality behind using ChatGPT 1:10:32 Clearing confusion behind Linus's stance on ad-blocking 1:11:40 Linus thanks customer care employees & FloatPlane 1:14:17 Merch Messages #1 1:22:54 Topic #7 - Apple allows sideloading & third-party app stores 1:23:55 Apple's objections, stock surging 1:26:06 Discussing developer's aspect & certificates 1:31:30 Topic #8 - Epic Games pays millions to COPPA for "dark patterns" 1:33:54 Luke on canceling his late grandfather's Prime subscriptions 1:36:20 "WAN show must go on," Linus & Luke's streak 1:37:23 Topic #9 - LastPass August breach was way worse 1:39:48 Luke suggests leaving LastPass & updating passwords 1:40:38 CelebrityFeetPics site, Linus is on Men Wikifeet 1:42:08 Topic #10 - Sharing Netflix passwords may be illegal 1:43:00 Linus not noticing ads, like-dislike ratio 1:45:36 CPS might seek criminal charges against close people sharing passwords 1:48:31 Merch Messages #2 1:49:54 Linus enjoying making videos, does he need a smaller team? 1:54:54 How is the dual audio LTT project going? 1:57:03 Would there be more GPUs with different RAMs? 2:00:12 Any favorite go-to movies for testing home theaters? 2:27:00 Outro

Microsoft in 2022: the good, the bad, the meh Activision Blizzard. It's the gift that keeps on giving. I mean, Brazil OKed the deal. COME ON Microsoft Teams turned 5. Is it unstoppable? (Stack is asking for a friend) Games in Teams? Just one feature update per year? Just kidding! Microsoft released Windows 10 version 22H2 in October. Since then, we've seen the unexpected, largely (or completely) untested rollout of three new features: Search "pill," Task Manager access from the Taskbar, and now a new OneDrive. Each has inconsistently rolled out to different PCs. One has a regression. One was actually tested with the Insider Program. And one wasn't tested at all. Don't like Windows 11? Please, let the designers explain it One Outlook (Project Monarch) arrives, sort of, changes nothing Loop doesn't arrive, changes nothing .NET MAUI lands. Is it the future? Or just "a" future? Project Voltera looks cool, but Arm is still down the road DuckDuckGo colluded with Microsoft, then didn't Alex Kipman was just trying to be like Bill Gates! GitHub CoPilot: friend or foe? PC sales fell off a cliff. That cliff is about to get higher. Deeper. Whatever Joe B leaves. Like Mad Men, he might have stuck around too long The year the Insider Program broke - there is no way out of Dev, Beta, or WOA builds Windows 11 Microsoft brings Android 13 to WSA in preview Hardware Microsoft touts HoloLens 2 "momentum," says that an HL3 will need to be "meaningful" Lenovo is pre-gaming CES with major PC announcements. Isn't this how E3 started to fall apart? Google Android/Nest and Amazon both go live with early Matter implementations. Microsoft 365 Microsoft will let all EU cloud customers store their data locally. Microsoft teams with AWS, Meta, and TomTom to take on Google Maps Microsoft, Teams has failed with consumers. Just bring back Skype already In its second announcement all year, Skype adds real-time translation that imitates your voice Amazon settles EU antitrust case. Did it learn anything from Microsoft? Xbox Microsoft launches a massive sale on Xbox games Amazon expands in gaming, will publish next Tomb Raider title John Carmack leaves Meta, has a lot to say. Little of it good Ubisoft is giving Stadia customers the PC versions of the games they bought Tips & Picks Tip of the week: Make Mastodon less sleepy Apps of the year: Brave, Notion, ImageGlass, Modern Warfare II Term of the Week: Overwhelm Freeze Holiday cocktail pick of the season: Winter Warmer Mix equal parts apple whiskey and cranberry juice with a few good shakes of ginger bitters. Warm gently on the stovetop or in the microwave--to a little above room temperature, not hot like tea or coffee. Serve with a cinnamon stick or dried apple slice. You can make a batch for a party and keep it warm on the stove or in a crock-pot, just keep in on low or the alcohol will evaporate. Hosts: Leo Laporte and Paul Thurrott Guest: Richard Campbell Download or subscribe to this show at https://twit.tv/shows/windows-weekly Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Sponsor: UnifyMeeting.com code WW50 for subscription and code WW for displays

Download for Mobile | Podcast Preview | Full Timestamps Drive Impact Is The 'U UP?' Button The Wi-Fi Runback (Y)our (O)nly (M)ove (I)s HUSTLE Dwarf Fortress: Admit It's ASCII Animal Crossing Bayonettas In Paris Winner Winner, Epic Pays A Half Billion in Child Data Collection Fines, Dinner Henry Cavill's Good Run You can watch us record the podcast live on twitch.tv/castlesuperbeast Go to http://bombas.com/superbeast to get 20% off your first purchase. -- Go to http://hellofresh.com/superbeast18 and use code superbeast18 for 18 free meals plus free shipping! -- Go to http://joinhoney.com/superbeast to get PayPal Honey for free. Henry Cavill reportedly set to star in a Warhammer 40K series at Amazon James Gunn has plans for DC Black Adam 2 Seemingly Dead After The Rock Unfollows Warner Bros. Discovery & Black Adam God of Rock announced by Modus Games Thems Fightin Herds free today on EGS Don't expect a souped-up second-gen Steam Deck soon Death Stranding is getting a movie adaptation John Carmack leaves Meta: 'This is the end of my decade in VR'⁠

The Twitter saga continues: you can no longer link to other social networks in your tweets! How The Tech Guy has evolved over the many years. Can you disable the password / pin screen after your computer wakes up? Can you direct a smart TV to default to a specific input rather than whichever device is active? How can you convert VHS tapes to a DVD or a digital file? Why aren't timestamps appearing with my text messages on my Android phone? Plus, conversations with Sam Abuelsamid, Chris Marquardt, and Rod Pyle! Apple backs out of NFL Sunday Ticket negotiations. On Twitter, you cannot link to other social networks like Facebook or Mastodon. John Carmack leaves Meta. Mike B calls in reminiscing about how The Tech Guy has evolved over the years. Sam Abuelsamid and the new Toyota Tundra & replacing the audio systems in newer vehicles. Can you disable the password / pin screen in Windows 11 after your computer wakes up? Is there a TV that allows you to set a default input rather than constantly changing when a device powers on? Is there a way or a program to recover deleted text messages? What are some good smart switches? Chris Marquardt and a trip down memory lane. Is there a program or an easy way to convert VHS tapes? How can YOU help someone with a tech question? Why aren't my timestamps showing up on my Android device? A caller shares The Eclipsophile: climate and weather for celestial events. Rod Pyle and the Soyuz crew on the International Space Station. And thanks to everyone who has listened to The Tech Guy on the radio over the years! Stay tuned for the Ask The Tech Guys podcast starting in January. Host: Leo Laporte Guests: Sam Abuelsamid, Chris Marquardt, and Rod Pyle Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Show notes and links for this episode are available at: https://twit.tv/shows/the-tech-guy/episodes/1954 Download or subscribe to this show at: https://twit.tv/shows/the-tech-guy Sponsor: cachefly.com

John Carmack is a legendary programmer, co-founder of id Software, and lead programmer of many revolutionary video games including Wolfenstein 3D, Doom, Quake, and the Commander Keen series. He is also the founder of Armadillo Aerospace, and for many years the CTO of Oculus VR. Please support this podcast by checking out our sponsors: – InsideTracker: https://insidetracker.com/lex to get 20% off – Indeed: https://indeed.com/lex to get $75 credit – Blinkist: https://blinkist.com/lex and use code LEX to get 25% off premium – Eight Sleep: https://www.eightsleep.com/lex and use code LEX to get special savings – Athletic Greens: https://athleticgreens.com/lex and use code LEX