Podcasts about Andrej Karpathy

Narty się skończyły, pora wrócić do rzeczywistości, która w świecie technologii pędzi szybciej niż kiedykolwiek. W dzisiejszym odcinku Tomek, Wojtek i Sebastian analizują miesiąc pełen "wow momentów", kontrowersji wokół autonomicznych agentów i fundamentalnych zmian w procesie tworzenia oprogramowania.W tym odcinku:

This is a recap of the top 10 posts on Hacker News on February 21, 2026. This podcast was generated by wondercraft.ai (00:30): I verified my LinkedIn identity. Here's what I handed overOriginal post: https://news.ycombinator.com/item?id=47098245&utm_source=wondercraft_ai(01:57): What not to write on your security clearance form (1988)Original post: https://news.ycombinator.com/item?id=47102576&utm_source=wondercraft_ai(03:25): Why is Claude an Electron app?Original post: https://news.ycombinator.com/item?id=47104973&utm_source=wondercraft_ai(04:52): Andrej Karpathy talks about "Claws"Original post: https://news.ycombinator.com/item?id=47099160&utm_source=wondercraft_ai(06:20): How I use Claude Code: Separation of planning and executionOriginal post: https://news.ycombinator.com/item?id=47106686&utm_source=wondercraft_ai(07:48): AI uBlock BlacklistOriginal post: https://news.ycombinator.com/item?id=47098582&utm_source=wondercraft_ai(09:15): Claws are now a new layer on top of LLM agentsOriginal post: https://news.ycombinator.com/item?id=47096253&utm_source=wondercraft_ai(10:43): Acme WeatherOriginal post: https://news.ycombinator.com/item?id=47098296&utm_source=wondercraft_ai(12:10): EU mandates replaceable batteries by 2027 (2023)Original post: https://news.ycombinator.com/item?id=47098687&utm_source=wondercraft_ai(13:38): What Is OAuth?Original post: https://news.ycombinator.com/item?id=47096520&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

Today, we're diving into an exciting development in the world of software development known as vibe coding. This concept came to life thanks to AI expert Andrej Karpathy, who, back in February 2025, introduced a radical shift in how we think about coding. Imagine being able to describe what you want your software to do in plain language, and then having an AI system generate the actual code for it. This is what vibe coding is all about, and it's turning the traditional coding process on its head.Vibe coding simplifies the development process, making it more approachable for individuals who may not have a background in programming. This democratization of coding means that anyone—whether you're a teacher wanting to automate a process, an artist looking to create an interactive installation, or just someone with a great idea—can now express their vision without needing to understand the often intimidating technical jargon of programming languages.Become a supporter of this podcast: https://www.spreaker.com/podcast/lets-talk-sex-and-dating--5052038/support.

Is bitcoin back or does a dead cat bounce twice?Robert Allen  (https://www.twitter.com/satoshisound)Ben Arc  (https://www.twitter.com/arcbtc)Victoria Jones  (https://www.twitter.com/satoshisound)Thomas Hunt ( https://www.twitter.com/madbitcoins)THIS WEEK:  Crypto Takes a Deep Slide Despite Trump's Supporthttps://www.nytimes.com/2026/02/05/technology/bitcoin-price-drop-crypto-market.htmlSource: NY TimesBlockstream has no financial links to Jeffrey Epstein, Adam Back sayshttps://www.theblock.co/post/387956/blockstream-jeffrey-epstein-adam-backSource: The BlockEPSTEIN MET WITH NYDFS'S BEN LAWSKY DURING THE DEVELOPMENT OF BITCOIN AND CRYPTO REGULATION, KNOWN AS THE BITLICENSEhttps://twitter.com/kyletorpey/status/2018429962173423780?s=46Source: Twitter | @kyletorpeyInteresting that  @jason also used this framing in emails with his pal Epstein all the way back in 2011, warning Epstein that Amir and Gavin are "crazy open source folks" (idealists). Amir and Gavin ended up on different sides of the entrepreneur/idealist split though.https://twitter.com/kyletorpey/status/2018406237218451632?s=46Source: Twitter | @kyletorpeyCrypto bill talks picking up in Senate after clearing a key vote, Sen. Boozman sayshttps://www.cnbc.com/2026/02/05/boozman-crypto-cftc-regulation.htmlSource: CNBC—-This weekend, Andrej Karpathy, a founding architect of OpenAI and the brains behind Tesla's Autopilot, posted something that stopped the tech world cold.https://twitter.com/_rob_wallace/status/2018339227956568379?s=46Source: Twitter | @_rob_wallaceStrategy's long road to nowherehttps://archive.is/20260202140136/https://www.ft.com/content/da5ec232-6435-4ff9-ae8f-759ccfc93bfeSource: ArchiveBitcoin demand in Nancy Guthrie disappearance shows how crypto is becoming a more frequent feature of physical crimeshttps://fortune.com/2026/02/04/bitcoin-demand-in-nancy-guthrie-disappearance/Source: Fortune__________________________________________________________________________________World Crypto Network https://www.worldcryptonetwork.com/On This Day in World Crypto Network Historyhttps://www.worldcryptonetwork.com/onthisday/---------------------------------------------------------------------------Please Subscribe to our Youtube Channelhttps://m.youtube.com/channel/UCR9gdpWisRwnk_k23GsHf

Lazar Jovanovic is a full-time professional vibe coder at Lovable. His job is to build both internal tools and customer-facing products purely using AI, while not having a coding background. In this conversation, he breaks down the tactics, workflows, and framework that let him ship production-quality products using only AI.We discuss:1. Why having no coding background can be an advantage when building with AI2. Why most of your time should go to planning and chat mode, not prompting3. What to do when you get stuck: his 4x4 debugging workflow4. The PRD and Markdown file system that keeps AI agents aligned across complex builds5. Why kicking off four or five parallel prototypes is the best way to clarify your thinking6. Why design skills and taste are going to be the most important skills in the future7. His “genie and three wishes” mental model for making the most of AI's limitations8. How product, engineering, and design roles are converging—and what that means for your career—Brought to you by:Strella—The AI-powered customer research platform: https://strella.io/lennySamsara—Saving lives with AI built for physical operations: https://samsara.com/lennyWorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/getting-paid-to-vibe-code—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Lazar Jovanovic:• X: https://x.com/lakikentaki• LinkedIn: https://www.linkedin.com/in/lazar-jovanovic• YouTube: https://www.youtube.com/@50in50challenge• Starter Story course: https://build.starterstory.com/build/ai-build-accelerator?via=lazar (code LAZAR15 for 15% off)—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Lazar and professional vibe coding(04:53) What a professional vibe coder actually does day-to-day(09:26) Why non-technical backgrounds can be an advantage(12:24) The importance of self-awareness(14:42) His “genie and three wishes” mental model(17:43) Developing taste and judgment in the age of AI(21:46) The parallel project approach for better outcomes(29:30) Creating dynamic context windows with PRDs(36:56) Why elite vibe coders focus on planning, not coding(44:43) Creating MD files to guide AI development(50:57) Why prototyping still matters(56:50) Why “good enough” is no longer good enough(01:00:53) The future of engineering in an AI world(01:05:14) What to do when you get stuck: his 4x4 debugging workflow(01:14:27) Helping agents learn from their mistakes(01:15:35) Why watching agent output is more important than code(01:19:08) The incredible pace of AI development(01:22:55) Why emotional intelligence will become more valuable(01:28:30) How to become a professional vibe coder(01:30:10) Why building in public is the fastest path to opportunities(01:37:03) Final thoughts on focusing on quality over tech stack—Referenced:• The new AI growth playbook for 2026: How Lovable hit $200M ARR in one year | Elena Verna (Head of Growth): https://www.lennysnewsletter.com/p/the-new-ai-growth-playbook-for-2026-elena-verna• Elena Verna on how B2B growth is changing, product-led growth, product-led sales, why you should go freemium not trial, what features to make free, and much more: https://www.lennysnewsletter.com/p/elena-verna-on-why-every-company• The ultimate guide to product-led sales | Elena Verna: https://www.lennysnewsletter.com/p/the-ultimate-guide-to-product-led• 10 growth tactics that never work | Elena Verna (Amplitude, Miro, Dropbox, SurveyMonkey): https://www.lennysnewsletter.com/p/10-growth-tactics-that-never-work-elena-verna• Lovable: https://lovable.dev• Lovable + Shopify: https://lovable.dev/shopify• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Mobbin: https://mobbin.com• Dribbble: https://dribbble.com• 21st.dev: https://21st.dev• Lovable base prompt generator: https://chatgpt.com/g/g-67e1da2c9c988191b52b61084438e8ee-lovable-base-prompt• Lovable PRD generator: https://chatgpt.com/g/g-67e1e85fbeac8191a69b95c6d5c42ef6-lovable-prd-generator• Felix Haas's newsletter: https://designplusai.com• Bauhaus: https://en.wikipedia.org/wiki/Bauhaus• Glassmorphism: https://www.figma.com/community/plugin/1197106608665398190/glassmorphism• UI style guide: http://uistyle.lovable.app• Cloudflare: https://www.cloudflare.com• Ben Tossell on X: https://x.com/bentossell• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Peter Thiel says AI will be ‘worse' for math nerds than for writers: https://www.businessinsider.com/peter-thiel-ai-worse-for-math-professionals-than-writers-2024-4• Andrej Karpathy on X: https://x.com/karpathy• The 100-person AI lab that became Anthropic and Google's secret weapon | Edwin Chen (Surge AI): https://www.lennysnewsletter.com/p/surge-ai-edwin-chen• Why experts writing AI evals is creating the fastest-growing companies in history | Brendan Foody (CEO of Mercor): https://www.lennysnewsletter.com/p/experts-writing-ai-evals-brendan-foody• Slumdog Millionaire: https://www.imdb.com/title/tt1010048—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Een unicum: BNR Beurs heeft het een keer over een provincie. Gelderland in dit geval, dat moet zijn slogan aanpassen. Het is nu 'Gelderland levert je mooie streken', maar ze kunnen er beter 'Gelderland levert je chips!' van maken. Gelderland wil namelijk een grotere rol gaan spelen in de Nederlandse chipsector.Nexperia, NXP. Het is allemaal te vinden in de provincie. Maar Gelderland wil méér. En dat betekent dus ook dat er misschien ook wel meer chipbedrijven naar de beurs komen. Deze aflevering kijken we of dat wat voor jou is.Hebben we het ook over de Europese banken. Die hebben een plan om de Europese economie te redden. En - bescheiden als zij zijn - daarvoor is een rol voor hen weggelegd. Ze zeggen namelijk dat er minder toezicht én regels moeten komen op de bankensector. Het moet op de schop, anders dreigt de Europese economie hopeloos achter te raken. Verder bespreken we de 'moeder van alle akkoorden'. De deal tussen de EU en India. Het wordt makkelijker handelen voor bepaalde bedrijven, wij praten je bij over welke dat precies zijn.Verder in dit beurstheater: Puma schiet bij opening 20 procent omhoog en dat komt door een Chinees bedrijf Het kantelpunt voor AI is gekomen, zegt de mede-oprichter van OpenAI Samsung komt met nieuw toestel van 2900(!!) dollar Beurskoers United Health stort wéér in Boeing maakt een comeback, maar beleggers geloven het (nog) niet Te gast: Corné van Zeijl, van CardanoBNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij BNR Zakendoen en de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

Happy New Year! NVIDIA just spent $20 billion to hollow out an AI company for its brains, while Meta and Google scramble to scoop up fresh talent before AI gets "too weird to manage." Who's winning, who's left behind, and what do these backroom deals mean for the future of artificial intelligence? Andrej Karpathy admits programmers cannot keep pace with AI advances Economic uncertainty in AI despite massive stock market influence Google, Anthropic, and Microsoft drive AI productization for business and consumers OpenAI, Claude, and Gemini battle for consumer AI dominance Journalism struggles to keep up with AI realities and misinformation tools Concerns mount over AI energy, water, and environmental impact narratives Meta buys Manus, expands AI agent ambitions with Llama model OpenAI posts high-stress "Head of Preparedness" job worth $555K+ Training breakthroughs: DeepSeek's mHC and comparisons to Action Park U.S. lawmakers push broad, controversial internet censorship bills Age verification and bans spark state laws, VPN workaround explosion U.S. drone ban labeled protectionist as industry faces tech shortages FCC security initiatives falter; Cyber Trust Mark program scrapped Waymo robotaxis stall in blackouts, raising AV urban planning issues School cellphone bans expose kids' struggle with analog clocks MetroCard era ends in NYC as tap-to-pay takes over subway access RAM, VRAM, and GPU prices soar as AI and gaming squeeze supply CES preview: Samsung QD-OLED TV, Sony AFEELA car, gadget show hype Remembering Stewart Cheifet and Computer Chronicles' legacy Host: Leo Laporte Guests: Dan Patterson and Joey de Villa Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security canary.tools/twit - use code: TWIT monarch.com with code TWIT Melissa.com/twit redis.io

Happy New Year! NVIDIA just spent $20 billion to hollow out an AI company for its brains, while Meta and Google scramble to scoop up fresh talent before AI gets "too weird to manage." Who's winning, who's left behind, and what do these backroom deals mean for the future of artificial intelligence? Andrej Karpathy admits programmers cannot keep pace with AI advances Economic uncertainty in AI despite massive stock market influence Google, Anthropic, and Microsoft drive AI productization for business and consumers OpenAI, Claude, and Gemini battle for consumer AI dominance Journalism struggles to keep up with AI realities and misinformation tools Concerns mount over AI energy, water, and environmental impact narratives Meta buys Manus, expands AI agent ambitions with Llama model OpenAI posts high-stress "Head of Preparedness" job worth $555K+ Training breakthroughs: DeepSeek's mHC and comparisons to Action Park U.S. lawmakers push broad, controversial internet censorship bills Age verification and bans spark state laws, VPN workaround explosion U.S. drone ban labeled protectionist as industry faces tech shortages FCC security initiatives falter; Cyber Trust Mark program scrapped Waymo robotaxis stall in blackouts, raising AV urban planning issues School cellphone bans expose kids' struggle with analog clocks MetroCard era ends in NYC as tap-to-pay takes over subway access RAM, VRAM, and GPU prices soar as AI and gaming squeeze supply CES preview: Samsung QD-OLED TV, Sony AFEELA car, gadget show hype Remembering Stewart Cheifet and Computer Chronicles' legacy Host: Leo Laporte Guests: Dan Patterson and Joey de Villa Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security canary.tools/twit - use code: TWIT monarch.com with code TWIT Melissa.com/twit redis.io

Happy New Year! NVIDIA just spent $20 billion to hollow out an AI company for its brains, while Meta and Google scramble to scoop up fresh talent before AI gets "too weird to manage." Who's winning, who's left behind, and what do these backroom deals mean for the future of artificial intelligence? Andrej Karpathy admits programmers cannot keep pace with AI advances Economic uncertainty in AI despite massive stock market influence Google, Anthropic, and Microsoft drive AI productization for business and consumers OpenAI, Claude, and Gemini battle for consumer AI dominance Journalism struggles to keep up with AI realities and misinformation tools Concerns mount over AI energy, water, and environmental impact narratives Meta buys Manus, expands AI agent ambitions with Llama model OpenAI posts high-stress "Head of Preparedness" job worth $555K+ Training breakthroughs: DeepSeek's mHC and comparisons to Action Park U.S. lawmakers push broad, controversial internet censorship bills Age verification and bans spark state laws, VPN workaround explosion U.S. drone ban labeled protectionist as industry faces tech shortages FCC security initiatives falter; Cyber Trust Mark program scrapped Waymo robotaxis stall in blackouts, raising AV urban planning issues School cellphone bans expose kids' struggle with analog clocks MetroCard era ends in NYC as tap-to-pay takes over subway access RAM, VRAM, and GPU prices soar as AI and gaming squeeze supply CES preview: Samsung QD-OLED TV, Sony AFEELA car, gadget show hype Remembering Stewart Cheifet and Computer Chronicles' legacy Host: Leo Laporte Guests: Dan Patterson and Joey de Villa Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security canary.tools/twit - use code: TWIT monarch.com with code TWIT Melissa.com/twit redis.io

Happy New Year! NVIDIA just spent $20 billion to hollow out an AI company for its brains, while Meta and Google scramble to scoop up fresh talent before AI gets "too weird to manage." Who's winning, who's left behind, and what do these backroom deals mean for the future of artificial intelligence? Andrej Karpathy admits programmers cannot keep pace with AI advances Economic uncertainty in AI despite massive stock market influence Google, Anthropic, and Microsoft drive AI productization for business and consumers OpenAI, Claude, and Gemini battle for consumer AI dominance Journalism struggles to keep up with AI realities and misinformation tools Concerns mount over AI energy, water, and environmental impact narratives Meta buys Manus, expands AI agent ambitions with Llama model OpenAI posts high-stress "Head of Preparedness" job worth $555K+ Training breakthroughs: DeepSeek's mHC and comparisons to Action Park U.S. lawmakers push broad, controversial internet censorship bills Age verification and bans spark state laws, VPN workaround explosion U.S. drone ban labeled protectionist as industry faces tech shortages FCC security initiatives falter; Cyber Trust Mark program scrapped Waymo robotaxis stall in blackouts, raising AV urban planning issues School cellphone bans expose kids' struggle with analog clocks MetroCard era ends in NYC as tap-to-pay takes over subway access RAM, VRAM, and GPU prices soar as AI and gaming squeeze supply CES preview: Samsung QD-OLED TV, Sony AFEELA car, gadget show hype Remembering Stewart Cheifet and Computer Chronicles' legacy Host: Leo Laporte Guests: Dan Patterson and Joey de Villa Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security canary.tools/twit - use code: TWIT monarch.com with code TWIT Melissa.com/twit redis.io

Happy New Year! NVIDIA just spent $20 billion to hollow out an AI company for its brains, while Meta and Google scramble to scoop up fresh talent before AI gets "too weird to manage." Who's winning, who's left behind, and what do these backroom deals mean for the future of artificial intelligence? Andrej Karpathy admits programmers cannot keep pace with AI advances Economic uncertainty in AI despite massive stock market influence Google, Anthropic, and Microsoft drive AI productization for business and consumers OpenAI, Claude, and Gemini battle for consumer AI dominance Journalism struggles to keep up with AI realities and misinformation tools Concerns mount over AI energy, water, and environmental impact narratives Meta buys Manus, expands AI agent ambitions with Llama model OpenAI posts high-stress "Head of Preparedness" job worth $555K+ Training breakthroughs: DeepSeek's mHC and comparisons to Action Park U.S. lawmakers push broad, controversial internet censorship bills Age verification and bans spark state laws, VPN workaround explosion U.S. drone ban labeled protectionist as industry faces tech shortages FCC security initiatives falter; Cyber Trust Mark program scrapped Waymo robotaxis stall in blackouts, raising AV urban planning issues School cellphone bans expose kids' struggle with analog clocks MetroCard era ends in NYC as tap-to-pay takes over subway access RAM, VRAM, and GPU prices soar as AI and gaming squeeze supply CES preview: Samsung QD-OLED TV, Sony AFEELA car, gadget show hype Remembering Stewart Cheifet and Computer Chronicles' legacy Host: Leo Laporte Guests: Dan Patterson and Joey de Villa Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security canary.tools/twit - use code: TWIT monarch.com with code TWIT Melissa.com/twit redis.io

2025 has almost come to a close and the new year is right around the corner.At this time of year, it's usual to reflect on the year and consider some of the biggest, most impactful things that have happened. But here at ITPro, we like to take a different approach: what didn't happen?The tech industry can't help but make bold promises and some just don't pan out. What are some of the biggest targets, trends, and predictions that just haven't come to fruition in 2025?In this episode, Jane and Rory are once again joined by Ross Kelly, news and analysis editor at ITPro, to discuss the biggest misses of the year.Read more:Is enterprise agentic AI adoption matching the hype?‘Agent washing' is here: Most agentic AI tools are just ‘repackaged' RPA solutions and chatbots – and Gartner says 40% of projects will be ditched within two yearsAgentic AI carries huge implications for security teams - here's what leaders should know'It's slop': OpenAI co-founder Andrej Karpathy pours cold water on agentic AI hype – so your jobs are safe, at least for nowIBM is targeting 'quantum advantage' in 12 months – and says useful quantum computing is just a few years awaySAS thinks quantum AI has huge enterprise potential – here's whySAS rejects generative AI hype in favor of data fundamentals at Innovate 2025Post-quantum cryptography is now top of mind for cybersecurity leadersWhy does Nvidia have a no-chip quantum strategy?Meta executive denies hyping up Llama 4 benchmark scores – but...

Ho Ho Ho, Alex here! (a real human writing these words, this needs to be said in 2025) Merry Christmas (to those who celebrate) and welcome to the very special yearly ThursdAI recap! This was an intense year in the world of AI, and after 51 weekly episodes (this is episode 52!) we have the ultimate record of all the major and most important AI releases of this year! So instead of bringing you a weekly update (it's been a slow week so far, most AI labs are taking a well deserved break, the Cchinese AI labs haven't yet surprised anyone), I'm dropping a comprehensive yearly AI review! Quarter by quarter, month by month, both in written form and as a pod/video! Why do this? Who even needs this? Isn't most of it obsolete? I have asked myself this exact question while prepping for the show (it was quite a lot of prep, even with Opus's help). I eventually landed on, hey, if nothing else, this will serve as a record of the insane week of AI progress we all witnessed. Can you imagine that the term Vibe Coding is less than 1 year old? That Claude Code was released at the start of THIS year? We get hedonicly adapt to new AI goodies so quick, and I figured this will serve as a point in time check, we can get back to and feel the acceleration! With that, let's dive in - P.S. the content below is mostly authored by my co-author for this, Opus 4.5 high, which at the end of 2025 I find the best creative writer with the best long context coherence that can imitate my voice and tone (hey, I'm also on a break!

Did AI end up being a political force this year?

Alexander Embiricos leads product on Codex, OpenAI's powerful coding agent, which has grown 20x since August and now serves trillions of tokens weekly. Before joining OpenAI, Alexander spent five years building a pair programming product for engineers. He now works at the frontier of AI-led software development, building what he describes as a software engineering teammate—an AI agent designed to participate across the entire development lifecycle.We discuss:1. Why Codex has grown 20x since launch and what product decisions unlocked this growth2. How OpenAI built the Sora Android app in just 18 days using Codex3. Why the real bottleneck to AGI-level productivity isn't model capability—it's human typing speed4. The vision of AI as a proactive teammate, not just a tool you prompt5. The bottleneck shifting from building to reviewing AI-generated work6. Why coding will be a core competency for every AI agent—because writing code is how agents use computers best—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lennyFin—The #1 AI agent for customer service: https://fin.ai/lennyJira Product Discovery—Confidence to build the right thing: https://atlassian.com/lenny/?utm_source=lennypodcast&utm_medium=paid-audio&utm_campaign=fy24q1-jpd-imc—Transcript: https://www.lennysnewsletter.com/p/why-humans-are-ais-biggest-bottleneck—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/180365355/my-biggest-takeaways-from-this-conversation—Where to find Alexander Embiricos:• X: https://x.com/embirico• LinkedIn: https://www.linkedin.com/in/embirico—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Alexander Embiricos (05:13) The speed and ambition at OpenAI(11:34) Codex: OpenAI's coding agent(15:43) Codex's explosive growth(24:59) The future of AI and coding agents(33:11) The impact of AI on engineering(44:08) How Codex has impacted the way PMs operate(45:40) Throwaway code and ubiquitous coding(47:10) Shipping the Sora Android app(49:01) Building the Atlas browser(53:34) Codex's impact on productivity(55:35) Measuring progress on Codex(58:09) Why they are building a web browser(01:01:58) Non-engineering use cases for Codex(01:02:53) Codex's capabilities(01:04:49) Tips for getting started with Codex(01:05:37) Skills to lean into in the AI age(01:10:36) How far are we from a human version of AI?(01:13:31) Hiring and team growth at Codex(01:15:47) Lightning round and final thoughts—Referenced:• OpenAI: https://openai.com• Codex: https://openai.com/codex• Inside ChatGPT: The fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Dropbox: http://dropbox.com• Datadog: https://www.datadoghq.com• Andrej Karpathy on X: https://x.com/karpathy• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Atlas: https://openai.com/index/introducing-chatgpt-atlas• How Block is becoming the most AI-native enterprise in the world | Dhanji R. Prasanna: https://www.lennysnewsletter.com/p/how-block-is-becoming-the-most-ai-native• Goose: https://block.xyz/inside/block-open-source-introduces-codename-goose• Lessons on building product sense, navigating AI, optimizing the first mile, and making it through the messy middle | Scott Belsky (Adobe, Behance): https://www.lennysnewsletter.com/p/lessons-on-building-product-sense• Sora Android app: https://play.google.com/store/apps/details?id=com.openai.sora&hl=en_US&pli=1• The OpenAI Podcast—ChatGPT Atlas and the next era of web browsing: https://www.youtube.com/watch?v=WdbgNC80PMw&list=PLOXw6I10VTv9GAOCZjUAAkSVyW2cDXs4u&index=2• How to measure AI developer productivity in 2025 | Nicole Forsgren: https://www.lennysnewsletter.com/p/how-to-measure-ai-developer-productivity• Compiling: https://3d.xkcd.com/303• Jujutsu Kaisen on Netflix: https://www.netflix.com/title/81278456• Tesla: https://www.tesla.com• Radical Candor: From theory to practice with author Kim Scott: https://www.lennysnewsletter.com/p/radical-candor-from-theory-to-practice• Andreas Embirikos: https://en.wikipedia.org/wiki/Andreas_Embirikos• George Embiricos: https://en.wikipedia.org/wiki/George_Embiricos: https://en.wikipedia.org/wiki/George_Embiricos—Recommended books:• Culture series: https://www.amazon.com/dp/B07WLZZ9WV• The Lord of the Rings: https://www.amazon.com/Lord-Rings-J-R-R-Tolkien/dp/0544003411• A Fire Upon the Deep (Zones of Thought series Book 1): https://www.amazon.com/Fire-Upon-Deep-Zones-Thought/dp/1250237750• Radical Candor: Be a Kick-Ass Boss Without Losing Your Humanity: https://www.amazon.com/Radical-Candor-Kick-Ass-Without-Humanity/dp/1250103509—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Hey everyone, December started strong and does NOT want to slow down!? OpenAI showed us their response to the Code Red and it's GPT 5.2, which doesn't feel like a .1 upgrade! We got it literally as breaking news at the end of the show, and oh boy! The new kind of LLMs is here. GPT, then Gemini, then Opus and now GPT again... Who else feels like we're on a trippy AI rolercoaster? Just me?

„Oxford“ metų žodžiu tapo „rage bait“. Ar atgaivinti senas nuotraukas ir iš jų sukurti generuotą video yra gera idėja? Andrej Karpathy pasiūlė naują idėją, kaip šnekėti su kalbos modeliais: LLM taryba. „Samsung“ pristatė triskart atsiverčiantį telefoną „Galaxy Z TriFold“. Vis dažniau kalbama apie duomenų serverius kosmose ar net Mėnulyje – kodėl tai nėra gera idėja? „Warner Music“ susitarė su „Suno AI“ ir bendradarbiaus kurdami generuotą muziką. Pavelas Durovas pristatė „Cocoon“ – decentralizuotą AI skaičiavimų tinklą, leidžiantį įdarbinti laisvas vaizdo plokštes. JAV įmonė treniravo AI modelį su kalinių vaizdo ir garso skambučiais ir dabar vykdys jų monitoringą. Lietuvoje mobiliojo ryšio operatoriai skelbia apie vieningą įtartinų skambučių blokavimo sistemą. Apmokant „Claude“ jam buvo suteiktas „sielos dokumentas“. Kinijoje kalbama apie humanoidų robotų burbulą.

【欢迎订阅】 每天早上5:30，准时更新。 【阅读原文】 标题：Collins' Word of the Year 2025: AI meets authenticity as society shifts正文：Tired of wrestling with syntax? Just go with the vibes. That's the essence of vibe coding, Collins' Word of the Year 2025, a term that captures something fundamental about our evolving relationship with technology. Coined by AI pioneer Andrej Karpathy, vibe coding refers to the use of artificial intelligence prompted by natural language to write computer code. Basically, telling a machine what you want rather than painstakingly coding it yourself.知识点：wrestle with phr. /ˈresl wɪð/to struggle to deal with or understand something difficult. 努力解决；绞尽脑汁e.g. The students had to wrestle with the complex philosophical concepts. 学生们不得不努力理解那些复杂的哲学概念。获取外刊的完整原文以及精讲笔记，请关注微信公众号「早安英文」，回复“外刊”即可。更多有意思的英语干货等着你！ 【节目介绍】 《早安英文-每日外刊精读》，带你精读最新外刊，了解国际最热事件：分析语法结构，拆解长难句，最接地气的翻译，还有重点词汇讲解。 所有选题均来自于《经济学人》《纽约时报》《华尔街日报》《华盛顿邮报》《大西洋月刊》《科学杂志》《国家地理》等国际一线外刊。 【适合谁听】 1、关注时事热点新闻，想要学习最新最潮流英文表达的英文学习者 2、任何想通过地道英文提高听、说、读、写能力的英文学习者 3、想快速掌握表达，有出国学习和旅游计划的英语爱好者 4、参加各类英语考试的应试者（如大学英语四六级、托福雅思、考研等） 【你将获得】 1、超过1000篇外刊精读课程，拓展丰富语言表达和文化背景 2、逐词、逐句精确讲解，系统掌握英语词汇、听力、阅读和语法 3、每期内附学习笔记，包含全文注释、长难句解析、疑难语法点等，帮助扫除阅读障碍。

O podcast apresenta uma análise detalhada da "vibe coding", um novo paradigma no desenvolvimento de software assistido por Inteligência Artificial (IA), onde os programadores descrevem as intenções em linguagem natural e a IA gera o código. Este fenômeno, popularizado por um tweet de Andrej Karpathy em 2025 e reconhecido como Palavra do Ano pelo Collins Dictionary, representa uma democratização da programação e um aumento sem precedentes na velocidade de prototipagem, com startups a alcançar marcos extraordinários. Contudo, o texto também enfatiza os desafios críticos desta abordagem, como graves vulnerabilidades de segurança no código gerado, dificuldades de manutenção e depuração, e críticas de especialistas como Andrew Ng sobre a trivialização do esforço intelectual necessário. Em última análise, o futuro da vibe coding é visto como um modelo híbrido, onde os humanos atuam como arquitetos e revisores, garantindo a qualidade e segurança do código.

Ever heard of “vibe coding”? It's been named Word of the Year by Collins Dictionary, but what does it mean?You can thank OpenAI's co-founder Andrej Karpathy, who came up with the phrase.The World Weather Attribution has released new data revealing that climate change significantly amplified Hurricane Melissa's destructive winds and rainfall.We speak to the rapid study's co-author, climate scientist Theodore Keeping, from the World Weather Attribution team at Imperial College London.Three Chinese astronauts are stuck in space for longer than expected, after an unidentified object hits the return spacecraft.Also in this episode:UK energy supplier Tomato Energy has collapsedPrince William honours young environmentalists at Earthshot PrizeThe newly described species of toads that give birth to fully formed toadletsAI chatbots "suffer from brainrot" too Hosted on Acast. See acast.com/privacy for more information.

AI coding assistants promise to write your code, speed up your sprint, and maybe even make engineers obsolete. But what if the people building with them every day see something very different?In this special Halloween edition of CRAFTED. — which also marks the show's third anniversary! — a masked CTO shares what he can't say publicly: that these tools are powerful, but insidious. In his view, coding assistants are great for auto-complete, but they can't do what a human engineer does. He says they're terrible at starting from scratch and will often suggest code that “works in vacuum”, but not in context. And because AI can write so much code, so quickly, it's hard to catch errors. In short, he sees an increase in short term velocity, at the expense of increased defects and an increasing dependency on systems that are untrustworthy. I want to emphasize that this episode features the experience of one very experienced person. There are obviously others who disagree, who say AI coding agents are incredible, so long as they're managed well. However, there are also an increasing number of people questioning the sustainability of coding agents — they're incredibly expensive to run — and also how good they are in the first place.For example Andrej Karpathy, the guy who literally coined the phrase "vibe coding" and was early at OpenAI and Tesla, just said publicly on Dwarkesh Podcast that the path to AI agents is going to be a lot slower than people in the industry think it will be. He said coding agents are "not that good at writing code that's never been written before" and that there is too much hype right now about where AI really is, with people in the industry, quote "trying to pretend like this is amazing, when it's not." And he said: "My Claude Code or Codex still feels like this elementary-grade student." Today's guest agrees with Karpathy on a lot of this. Our guest has worked at startups, scale-ups, and big tech companies you've definitely heard of and today he's at a very AI-forward company and using AI coding tools every day. Enjoy this special episode of CRAFTED.! ---And pretty please...!Share with a friend! Word of mouth is how podcasts grow!Subscribe to the newsletter at https://www.crafted.fmShare your feedback! I'm experimenting with new episode formats and would love your feedback on this and other episodes. DM me on LinkedIn or contact me email, via https://www.crafted.fmSponsor the show? I'm actively speaking to potential sponsors for 2026 episodes. Let's talk!Get psyched!… There are some big updates to the show in 2026!---Key Quotes03:16 The myth of AI replacement: “The idea that AI can actually supplant a software engineer in their current role is basically nonsense.”06:29 Why AI struggles without human input: “If you remove the human engineer from the equation, there's no place to start from. The AI does not do well when you're starting from scratch because it doesn't have the real-world context or the continuous learning required to make that system better.”12:21: The illusion of speed: “Coding assistants help you generate code very quickly. There's an illusion that your velocity increases. What actually happens is you're just shipping more bugs to production.”13:30 More code than humans can review: “AI generates so much code that no human can keep that context in their head and review it in a meaningful way. At some point you just have to trust — but who are you trusting? You're trusting the AI, and the AI cannot be trusted.”14:02 AI & Junior Engineer Hiring: “The narrative that hiring trends have anything to do with AI is absurd. It's not that AI is replacing junior engineers — it's that companies are running lean and don't have the bandwidth to train them.”15:42: Where the AI Bulls and Bears Differ: “Whereas we see flawed systems that aren't ready for primetime [...] they view this as ‘oh, that's, that's insignificant. They will get better almost immediately. It's not a big deal.' But we've been repeating this cycle for years at this point.”19:50 Where AI Excels: “Where review and revise are part of the process already, that's a really good place for generative AI because you already have a human in the loop.”21:02: What builders need to unlearn “To the extent that people think these things are thinking or reasoning or on any path to AGI at all — they should discard that. These models don't think. They're very sophisticated pattern-matching machines, and that's really it.”

Is the AI boom already peaking? In this episode of The Newcomer Podcast, Eric, Madeline and Tom take a hard look at the hype cycle driving Silicon Valley's latest gold rush — from Andreessen Horowitz's record-breaking $25 billion year to Amazon's push to automate its entire workforce.We explore whether AI's trillion-dollar promise is real innovation, or if the cracks are already showing. From OpenAI's overblown math claims to Andrej Karpathy's “State of the Union” reflections, we break down what's really happening behind the headlines.

This week, we discuss OpenAI's new browser, AI trying to build spreadsheets, and when to use Claude skills. Plus, Coté explores the art of the perfect staycation. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/PnwoFl5JjNo?si=DS2CoIgHVlVU9Y3m) 543 (https://www.youtube.com/live/PnwoFl5JjNo?si=DS2CoIgHVlVU9Y3m) Runner-up Titles Firewire is dead USB, what are you going to do? It's like I tell my son: you know what to do, you chose not to do it. I am just a guest. I don't need helpful An amazing hole. Slides for nobody You closed the loop It's pretty amazing, but does it need to exist? Slackhole Rundown OpenAI Introducing ChatGPT Atlas (https://openai.com/index/introducing-chatgpt-atlas/) OpenAI Is Building a Banker (https://www.bloomberg.com/opinion/newsletters/2025-10-21/openai-is-building-a-banker?srnd=undefined&embedded-checkout=true) OpenAI has five years to turn $13 billion into $1 trillion (https://techcrunch.com/2025/10/14/openai-has-five-years-to-turn-13-billion-into-1-trillion/) AI agents are not amazing, they are slop: says OpenAI cofounder Andrej Karpathy as he strongly disagrees with CEO Sam Altman on AGI timeline - The Times of India (https://timesofindia.indiatimes.com/technology/tech-news/ai-agents-are-not-amazing-they-are-slop-says-openai-cofounder-andrej-karpathy-as-he-strongly-disagrees-with-ceo-sam-altman-on-agi-timeline/articleshow/124720565.cms) OpenAI's ChatGPT will soon allow ‘erotica' for adults in major policy shift (https://www.cnbc.com/2025/10/15/erotica-coming-to-chatgpt-this-year-says-openai-ceo-sam-altman.html) OpenAI Inks Deal With Broadcom to Design Its Own Chips for A.I. (https://www.nytimes.com/2025/10/13/technology/openai-broadcom-chips-deal.html) Claude Skills are awesome, maybe a bigger deal than MCP (https://simonwillison.net/2025/Oct/16/claude-skills/#atom-everything) OpenStack Flamingo pays down technical debt as adoption continues to climb (https://www.networkworld.com/article/4066532/openstack-flamingo-pays-down-technical-debt-as-adoption-continues-to-climb.html) Relevant to your Interests Elon Musk will settle $128 million Twitter execs lawsuit (https://www.theverge.com/news/796239/elon-musk-x-128-million-twitter-exec-lawsuit-settlement) GitHub Will Prioritize Migrating to Azure Over Feature Development (https://thenewstack.io/github-will-prioritize-migrating-to-azure-over-feature-development/) The Discord Hack is Every User's Worst Nightmare (https://www.404media.co/the-discord-hack-is-every-users-worst-nightmare/) Cursor-Maker Anysphere Considers Investment Offers at $30 Billion Valuation (https://www.theinformation.com/articles/cursor-maker-anysphere-considers-investment-offers-30-billion-valuation) Rubygems.org AWS Root Access Event – September 2025 (https://rubycentral.org/news/rubygems-org-aws-root-access-event-september-2025/) This Discord Zendesk compromise has gotten more silly (https://x.com/vxunderground/status/1976417029289607223) WP Engine Vs Automattic & Mullenweg Is Back In Play (https://www.searchenginejournal.com/wp-engine-vs-automattic-mullenweg-is-back-in-play/557905/) Windows 11 removes all bypass methods for Microsoft account setup, removing local accounts (https://alternativeto.net/news/2025/10/windows-11-now-blocks-all-microsoft-account-bypasses-during-setup/) Introducing the React Foundation: The New Home for React & React Native (https://engineering.fb.com/2025/10/07/open-source/introducing-the-react-foundation-the-new-home-for-react-react-native/?utm_source=changelog-news) Wiz Finds Critical Redis RCE Vulnerability: CVE‑2025‑49844 | Wiz Blog (https://www.wiz.io/blog/wiz-research-redis-rce-cve-2025-49844) DevRel is -Unbelievably- Back (https://dx.tips/devrel-is-back) The Ruby community has a DHH problem (https://tekin.co.uk/2025/09/the-ruby-community-has-a-dhh-problem) YouTube rolls out its redesigned video player globally (https://www.engadget.com/entertainment/youtube/youtube-rolls-out-its-redesigned-video-player-globally-174609883.html) Oracle stock rises as company confirms Meta cloud deal (https://www.cnbc.com/2025/10/16/oracle-confirms-meta-cloud-deal-.html) Adiós, AirPods (https://www.theatlantic.com/technology/2025/10/apple-airpods-live-translation/684582/?gift=iWa_iB9lkw4UuiWbIbrWGV8Zzu9GF6V5YZpJtnAzcvU&utm_source=copy-link&utm_medium=social&utm_campaign=share) NVIDIA shows off its first Blackwell wafer manufactured in the US (https://www.engadget.com/big-tech/nvidia-shows-off-its-first-blackwell-wafer-manufactured-in-the-us-192836249.html) This Is How Much Anthropic and Cursor Spend On Amazon Web Services (https://www.wheresyoured.at/costs/) Automattic CEO calls Tumblr his 'biggest failure' so far (https://techcrunch.com/2025/10/20/automattic-ceo-calls-tumblr-his-biggest-failure-so-far/) Marc Benioff says Salesforce is saving about $100M a year by using AI tools in its customer service operations (https://www.bloomberg.com/news/articles/2025-10-14/salesforce-says-ai-customer-service-saves-100-million-annually | http://www.techmeme.com/251014/p32#a251014p32) Amazon cloud computing outage disrupts Snapchat, Ring and many other online services (https://apnews.com/article/amazon-east-internet-services-outage-654a12ac9aff0bf4b9dc0e22499d92d7) Amazon Outage Forces Hundreds of Websites Offline for Hours (https://www.nytimes.com/2025/10/20/business/aws-down-internet-outage.html) Today is when Amazon brain drain finally caught up with AWS (https://www.theregister.com/2025/10/20/aws_outage_amazon_brain_drain_corey_quinn/) AWS crash causes $2,000 Smart Beds to overheat and get stuck upright - Dexerto (https://www.dexerto.com/entertainment/aws-crash-causes-2000-smart-beds-to-overheat-and-get-stuck-upright-3272251/) Nonsense Streetlights Are Mysteriously Turning Purple. Here's Why (https://www.scientificamerican.com/article/streetlights-are-mysteriously-turning-purple-heres-why/) Buc-ee's is not America's top convenience store; Midwest chain takes No. 1 spot (https://local12.com/news/nation-world/bucees-not-america-top-convenience-store-satisfaction-ratings-rankings-midwest-chain-kwik-trip-takes-number-one-spot-wawa-sheetz-quicktrip-cincinnati-ohio) French post office rolls out croissant-scented stamp (https://www.ctvnews.ca/world/article/french-post-office-rolls-out-croissant-scented-stamp/) Listener Feedback Jeffrey is looking for college interns. (https://careers.blizzard.com/global/en/job/R025908/2026-US-Summer-Internships-Game-Engineering) Conferences Wiz Wizdom Conferences (https://www.wiz.io/wizdom), NYC November 3-5, London November 17-19 SREDay Amsterdam (https://sreday.com/2025-amsterdam-q4/), Coté speaking, November 7th. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: The PR Guy Who Says the AI Boom Is a Bust (https://overcast.fm/+AAQL2e2DHQo) Matt: Comfort Ear Grip Hooks (https://www.amazon.com.au/dp/B07YVDT3KT) Coté: MSG on popcorn, Claude Skills, Masman Curry, Sora? Photo Credits Header (https://unsplash.com/photos/person-holding-white-and-gray-stone-OV44gxH71DU)

This episode features Rob Toews from Radical Ventures and Ari Morcos, Head of Research at Datology AI, reacting to Andrej Karpathy's recent statement that AGI is at least a decade away and that current AI capabilities are "slop." The discussion explores whether we're in an AI bubble, with both guests pushing back on overly bearish narratives while acknowledging legitimate concerns about hype and excessive CapEx spending. They debate the sustainability of AI scaling, examining whether continued progress will come from massive compute increases or from efficiency gains through better data quality, architectural innovations, and post-training techniques like reinforcement learning. The conversation also tackles which companies truly need frontier models versus those that can succeed with slightly-behind-the-curve alternatives, the surprisingly static landscape of AI application categories (coding, healthcare, and legal remain dominant), and emerging opportunities from brain-computer interfaces to more efficient scaling methods. (0:00) Intro(1:04) Debating the AI Bubble(1:50) Over-Hyping AI: Realities and Misconceptions(3:21) Enterprise AI and Data Center Investments(7:46) Consumer Adoption and Monetization Challenges(8:55) AI in Browsers and the Future of Internet Use(14:37) Deepfakes and Ethical Concerns(26:29) AI's Impact on Job Markets and Training(31:38) Google and Anthropic: Strategic Partnerships(34:51) OpenAI's Strategic Deals and Future Prospects(37:12) The Evolution of Vibe Coding(44:35) AI Outside of San Francisco(48:09) Data Moats in AI Startups(50:38) Comparing AI to the Human Brain(56:07) The Role of Physical Infrastructure in AI(56:55) The Potential of Chinese AI Models(1:03:15) Apple's AI Strategy(1:12:35) The Future of AI Applications With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

OpenAI is back and coming for search. This week on Mixture of Experts, we debrief ChatGPT Atlas, OpenAI's new web browser and the impacts on search. Then, Andrej Karpathy is back with his pessimistic timeline to AGI. Later, we discuss DeepSeek-OCR. Finally, can your AI have brain rot? Join host Tim Hwang and panelists Aaron Baughman, Abraham Daniels and Martin Keen on this week's Mixture of Experts to find out. 00:00 – Intro 00:55 – Goldman AI, Groq and IBM, Military AI and Uber 02:05 – ChatGPT Atlas 14:23 – Karpathy's AGI timeline 23:52 – DeepSeek-OCR 34:30 – AI brain rot The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Silicon Valley spent the weekend debating whether it's time to delay AGI expectations by a decade — and what that would mean for the so-called “AI bubble.” NLW breaks down the chain reaction: Microsoft's retreat from OpenAI's infrastructure arms race, an OpenAI math gaffe that went viral, and Andrej Karpathy's take on agent timelines — plus why none of it necessarily spells doom for real-world AI adoption.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? nlw@aidailybrief.ai

The Andrej Karpathy episode.During this interview, Andrej explains why reinforcement learning is terrible (but everything else is much worse), why AGI will just blend into the previous ~2.5 centuries of 2% GDP growth, why self driving took so long to crack, and what he sees as the future of education.It was a pleasure chatting with him.Watch on YouTube; read the transcript.Sponsors* Labelbox helps you get data that is more detailed, more accurate, and higher signal than you could get by default, no matter your domain or training paradigm. Reach out today at labelbox.com/dwarkesh* Mercury helps you run your business better. It's the banking platform we use for the podcast — we love that we can see our accounts, cash flows, AR, and AP all in one place. Apply online in minutes at mercury.com* Google's Veo 3.1 update is a notable improvement to an already great model. Veo 3.1's generations are more coherent and the audio is even higher-quality. If you have a Google AI Pro or Ultra plan, you can try it in Gemini today by visiting https://gemini.googleTimestamps(00:00:00) – AGI is still a decade away(00:29:45) – LLM cognitive deficits(00:40:05) – RL is terrible(00:49:38) – How do humans learn?(01:06:25) – AGI will blend into 2% GDP growth(01:17:36) – ASI(01:32:50) – Evolution of intelligence & culture(01:42:55) - Why self driving took so long(01:56:20) - Future of education Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

Многие знают, что когда модели обучаются, где-то под капотом перемножаются матрицы и тензоры, и все это связано с дифференцированием. Мы с Денисом Степановым взялись за нелегкую задачу – разобраться, что же именно там происходит! Также ждем вас, ваши лайки, репосты и комменты в мессенджерах и соцсетях!
 Telegram-чат: https://t.me/podlodka Telegram-канал: https://t.me/podlodkanews Страница в Facebook: www.facebook.com/podlodkacast/ Twitter-аккаунт: https://twitter.com/PodcastPodlodka Ведущие в выпуске: Женя Кателла, Аня Симонова Полезные ссылки: Dive into Deep Learning Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola (online book with code and formulas) https://d2l.ai/ https://www.amazon.com/s/ref=dp_byline_sr_book_2?ie=UTF8&field-author=Zachary+C.+Lipton&text=Zachary+C.+Lipton&sort=relevancerank&search-alias=books Micrograd by Andrej Karpathy https://github.com/karpathy/micrograd Andrej Karpathy builds GPT from scratch https://www.youtube.com/watch?v=kCc8FmEb1nY Scott Aaronson on LLM Watermarking https://www.youtube.com/watch?v=YzuVet3YkkA Annotated history of Modern AI and Deep Learning by Jurgen Schmidhuber https://people.idsia.ch/~juergen/deep-learning-history.html Probabilistic Machine Learning: An Introduction Kevin Patrick Murphy https://probml.github.io/pml-book/book1.html Probabilistic Machine Learning: Advanced Topics Kevin Patrick Murphy https://probml.github.io/pml-book/book2.html Pattern Recognition and Machine Learning Christopher Bishop https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf Deep Learning: Foundations and Concepts Christopher Bishop, Hugh Bishop https://www.bishopbook.com/ Deep Learning Ian Goodfellow, Yoshua Bengio, Aaron Courville https://www.deeplearningbook.org/ Глубокое обучение: Погружение в мир нейронных сетей С. Николенко, А. Кадурин, Е. Архангельская https://www.k0d.cc/storage/books/AI,%20Neural%20Networks/%D0%93%D0%BB%D1%83%D0%B1%D0%BE%D0%BA%D0%BE%D0%B5%20%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D0%B5%20(%D0%9D%D0%B8%D0%BA%D0%BE%D0%BB%D0%B5%D0%BD%D0%BA%D0%BE).pdf Gonzo-обзоры ML статей Григорий Сапунов, Алексей Тихонов https://t.me/gonzo_ML Machine Learning Street Talk podcast https://www.youtube.com/c/machinelearningstreettalk Feedforward NNs, Autograd, Backprop (Datalore report, Denis Stepanov) https://datalore.jetbrains.com/report/static/Ht_isxs4iB2.BNIqv-C3WUp/pEpNv2eMVU9tEkPsaboR9y Softmax Regression, Adversarial Attacks (Datalore report, Denis Stepanov) https://datalore.jetbrains.com/report/static/Ht_isxs4iB2.BNIqv-C3WUp/cIvd6zX1B5I3kULNiVCEyy Dual Numbers, PINN (Datalore report, Denis Stepanov) https://datalore.jetbrains.com/report/static/Ht_isxs4iB2.BNIqv-C3WUp/3oa1BNrPGpQ8uc82tCaz5d

Ivan Zhao joins Joubin Mirzadegan on Grit to break down how the company's minimalist design became a strategic edge in a world overwhelmed by bloated software. He shares why the AI agent still hasn't arrived, and how Notion's modular approach might be the closest thing to making it real.Guest: Ivan Zhao, co-founder and CEO of NotionMentioned in this episode: Fuzzy Khosrowshahi, Airbnb, Sequoia Capital, Linear, Figma, Apple, Things, Microsoft, BMW, Lumiere, The Beatles, The Rolling Stones, Eric Clapton, Rippling, Matt MacInnis, Inkling, Steve Jobs, Douglas Engelbart, Alan Kay, Bill Gates, OpenAI ChatGPT, Y Combinator, Andrej Karpathy, Toby Schachman, Simon Last, Spotify, SlackConnect with Ivan ZhaoXLinkedInConnect with JoubinXLinkedInEmail: grit@kleinerperkins.comLearn more about Kleiner Perkins

Want Sam's playbook to turn ChatGPT into your executive coach? Get it here: https://clickhubspot.com/sfb Episode 726: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk to Dharmesh Shah ( https://x.com/dharmesh ) about how he's using ChatGPT. — Show Notes: (0:00) Intro (2:00) Context windows (5:26) Vector embeddings (17:20) Automation and orchestration (21:03) Tool calling (28:14) Dharmesh's hot takes on AI (33:06) Agentic managers (39:41) Zuck poaches OpenAI talent w/ 9-figures (49:33) Shaan makes a video game — Links: • Agent.ai - https://agent.ai/ • Andrej Karpathy - https://www.youtube.com/andrejkarpathy — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano

Generativ AI med de store sprogmodeller, LLM'erne, er det største, der er sket inden for softwareudvikling i de fire årtier, hvor Thomas har skrevet instruktioner til computere for at få dem til at gøre det, som han gerne vil have dem til. Og det er altså ikke softwareudviklingen bag LLM'erne, som det handler om: Det er det, at man kan bruge LLM'erne til at lave software med. Det synspunkt står han ikke alene med inden for softwarebranchen, og Klaus er da heller ikke afvisende over for tanken. For bedre at kunne forklare hvorfor bliver et nyligt foredrag af Andrej Karpathy (eks-OpenAI, eks-Tesla AI) om “Software 3.0” til afsættet for en tur op gennem historien fra den håndkodede og tilstræbt forudsigelige software 1.0 til den probabilistiske og fabulerende 3.0.**** Nu også på YouTube — hvis du bedst kan lide din podcast med uden video. https://youtube.com/@silberblom **** Hvem betaler for Silberbauer & Blomseth? Det gør vi selv. Vores indhold er på ingen måde egnet til sponsorer eller reklamer for proteinpulver, VPN-forbindelse eller e-bøger. Så hosting, udstyr og alt det der er på egen regning. Det eneste vi beder om til gengæld (hvis du altså kan lide det, vi laver) er at du smider stjerner, og måske oven i købet en lille anbefaling, efter os på Apple Podcast. Det betyder alverden. Vi higer jo allesammen efter anerkendelse i en eller anden form. Husk at følge os på Bluesky (@silberblom) Linktree

Andrej Karpathy's Software 3.0 talk reframes LLMs as a new kind of software—programmable, agent-native, and fundamentally different from past computing models. This episode breaks down his key ideas, from autonomy sliders to the need for new infrastructure designed for AI-first users.Source: https://www.youtube.com/watch?v=LCEmiRjPEtQGet Ad Free AI Daily Brief: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/AIDailyBrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brought to you by:Gemini - Supercharge your creativity and productivity - ⁠⁠⁠⁠⁠⁠⁠⁠⁠http://gemini.google/⁠⁠⁠⁠⁠⁠⁠⁠KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months AGNTCY - The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠agntcy.org ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ -  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://agntcy.org/?utm_campaign=fy25q4_agntcy_amer_paid-media_agntcy-aidailybrief_podcast&utm_channel=podcast&utm_source=podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The automation platform for AI experts and consultants ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network

This week on Cloud Unplugged: AI goes local, Google Cloud breaks the internet, and the DOJ turns up the heat on Google's $32B Wiz acquisition.We're breaking down the biggest stories in cloud and AI:Context & Qualcomm are teaming up to move AI agents off the cloud and onto your device. What does this mean for the future of local-first AI?A major Google Cloud outage caused chaos across Cloudflare, Shopify, and Discord. We explain what went wrong and what it tells us about the risks of centralised cloud infrastructure.The DOJ is investigating Google's acquisition of Wiz, raising questions about cloud security competition and antitrust concerns.Plus: Andrej Karpathy's Software 3.0 vision, is natural language the new programming interface?Hosted by Lewis and Jon, two cloud-native veterans covering the real stories behind the hype in cloud, AI, and dev infrastructure.

Links:Dax's tweet about opencode rewriteopencode.aiIntro | opencodeGitHub - sst/opencode: AI coding agent, built for the terminal.Andrej Karpathy: Software Is Changing (Again) - YouTubeModels.dev — An open-source database of AI modelsSponsor: Terminal now offers a monthly box called Cron.Want to carry on the conversation? Join us in Discord. Or send us an email at sliceoffalittlepieceofbacon@tomorrow.fm.Topics:(00:00) - A Canadian standoff (00:29) - Who's the resident nice guy around here? (02:27) - Finding the Apple of carseats and baby strollers (05:39) - Transitioning from walking to running (08:03) - Sleeping struggles (11:21) - Launching Opencode (16:48) - Is starting a podcast the key to working well together as programmers? 4 out of 5 podcast editors say yes (22:46) - Figuring out what to work on next in open source software (32:29) - Dax is still living in oblivious bliss from Twitter (33:45) - Andrej Karpathy on how Software Is Changing (35:53) - Dax tries vibe coding (46:30) - How much of a bet are we placing on the terminal? (48:17) - Writing code for Frank ★ Support this podcast ★

AI models have a defined memory ceiling, which is reshaping the ongoing debates surrounding copyright and data privacy. Recent research from Meta, Google DeepMind, Cornell, and NVIDIA reveals that large language models have a fixed memorization capacity of approximately 8.6 bits per parameter. This finding clarifies the distinction between memorized data and generalized knowledge, indicating that larger datasets do not necessarily lead to increased memorization of specific data points. This understanding is crucial as it informs the operational mechanisms of AI models and addresses concerns related to copyright infringement.Sundar Pichai, CEO of Google, has introduced the term "artificial jagged intelligence" to describe the current phase of AI development, highlighting the non-linear progress and the challenges faced by researchers despite significant advancements. Pichai's perspective reflects the mixed performance of AI models, which can exhibit extraordinary capabilities alongside notable errors. This sentiment is echoed by deep learning researcher Andrej Karpathy, emphasizing the unpredictability of AI performance and the need for a more nuanced understanding of its capabilities.The rise of AI retrieval bots is transforming how users access information online, with a significant increase in traffic from these bots. Companies like OpenAI and Anthropic are deploying these bots to summarize content in real-time, moving away from traditional search methods that provide links to multiple sources. This shift poses challenges for content publishers, as the growth of retrieval bots indicates a changing economic landscape where content is increasingly consumed by AI first, with human users following. Publishers may need to rethink their engagement strategies to adapt to this new reality.In the broader context of technology and cybersecurity, WhatsApp's intervention in a legal case concerning encryption and privacy rights highlights the growing role of platforms in surveillance debates. Additionally, the U.S. Cybersecurity and Infrastructure Security Agency faces leadership challenges amid a talent exodus, raising concerns about its operational effectiveness. As the IT services industry evolves, the integration of AI into various sectors, including hiring and cybersecurity, underscores the importance of execution, interoperability, and trust in automation. The future of technology will depend on how well businesses can navigate these changes and support their clients in making informed decisions.  Four things to know today  00:00 AI's Jagged Reality: Study Reveals Limits to Model Memory as Bots Redefine the Web Economy05:35 Cybersecurity Crossroads: WhatsApp Joins Apple in Legal Fight as U.S. Agency Leadership Crumbles08:29 AI Matures Into Infrastructure Layer as IT Vendors Shift Focus to Outcomes and Execution11:51 Legal Tech, GenAI, and Fast Food Bots All Show One Thing: Hype Doesn't Equal Success  This is the Business of Tech.    Supported by:  All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

In this episode of No Priors, Sarah and Elad are joined by Dr. Fei-Fei Li, AI pioneer, co-director of Stanford's Human-Centered AI Institute, and founder of World Labs. Fei-Fei shares why she's building at the intersection of embodiment and intelligence, and what today's AI systems are still missing. From the early days of ImageNet to her vision for the next generation of robotics, she unpacks the human and technical motivations behind World Labs. They also discuss the challenges of 3D world modeling, her approach to building exceptional teams, and the special qualities that have led her students like Andrej Karpathy to make major breakthroughs. Show Notes: 0:00 Why and what Dr. Fei-Fei Li is building 3:00 World models at World Labs 6:44 Missing gaps in the AI future 9:16 Robotics and physical intelligence 16:15 Greatest challenges of 3D 19:08 Fei-Fei's work in PhD in ImageNet 23:05 Special moments in Dr. Li's career 29:33 Building teams 32:05 Human-centered AI

Vibe coding is having a moment.The buzzy new phrase was coined earlier this year by OpenAI co-founder Andrej Karpathy to describe his process of programming by prompting AI. It's been embraced by tech professionals and amateurs alike. Google, Microsoft and Apple have or are developing their own AI-assisted coding platforms while vibe coding startups like Cursor are raking in funding.Marketplace's Meghan McCarty Carino recently spoke with Clarence Huang, vice president of technology at the financial software company Intuit and an early adopter of vibe coding, about how the practice has changed how he approaches building software.More on this“What is vibe coding, exactly?” - from MIT Technology Review“New ‘Slopsquatting' Threat Emerges from AI-Generated Code Hallucinations” - from HackRead“Three-minute explainer on… slopsquatting” - from Raconteur

Vibe coding is having a moment.The buzzy new phrase was coined earlier this year by OpenAI co-founder Andrej Karpathy to describe his process of programming by prompting AI. It's been embraced by tech professionals and amateurs alike. Google, Microsoft and Apple have or are developing their own AI-assisted coding platforms while vibe coding startups like Cursor are raking in funding.Marketplace's Meghan McCarty Carino recently spoke with Clarence Huang, vice president of technology at the financial software company Intuit and an early adopter of vibe coding, about how the practice has changed how he approaches building software.More on this“What is vibe coding, exactly?” - from MIT Technology Review“New ‘Slopsquatting' Threat Emerges from AI-Generated Code Hallucinations” - from HackRead“Three-minute explainer on… slopsquatting” - from Raconteur

Our episode this week tackles that quiet question many of us ponder: are others using AI more effectively than we are?We explore some fascinating new research just published by Harvard Business Review that reveals the top 100 AI use cases based on actual user reports. It shows some dramatic changes in how people are using AI compared with just one year ago. We know it will give you new insights on how you could be using AI right now too.What's particularly interesting is that the top five use cases have been completely reshuffled. Entirely new entrants making their debut straight into the top five spots. From deeply personal uses to professional applications, we were surprised by the findings.The research has a unique approach which we explore in this episode as well as:Explore the top 5 use case types and share prompts and experiences Share personal examples of how others are using AI to save hours organising their livesDiscuss why certain uses have skyrocketed in popularity, and Examine a thought-provoking observation from AI thought leader Andrej Karpathy about why AI is unfolding completely differently than any other tech.If you've been fretting that your workplace is falling behind in the AI race we share exactly why this might be. And if you have been wondering how your use of AI compares to other peoples', then this episode may answer that question too. If you're looking for inspiration on how to use AI then stay tuned for a wealth of practical ideas. Enjoy this episode. Useful LinksFull list of HBR's Top 100 AI use cases - check our website for the complete list - www.dontstopusnow.coHarvard Business Review article on Top 100 AI use casesAndrej Karpathy's blog post on consumers as AI power usersSubscribe to Don't Stop Us Now – AI Edition wherever you get your podcasts to stay in the loop on what you need to know to remain relevant in this fast-changing world. Hosted on Acast. See acast.com/privacy for more information.

OpenAI cofounder Andrej Karpathy makes an argument that the normal patterns of technology diffusion have been upended with AI, to the benefit of regular people. Source: https://x.com/karpathy/status/1909308143156240538Get Ad Free AI Daily Brief: ⁠⁠⁠⁠⁠⁠⁠https://patreon.com/AIDailyBrief⁠⁠⁠⁠⁠⁠⁠Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠Plumb - The Automation Platform for AI Experts - ⁠⁠⁠⁠https://useplumb.com/nlw⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdown

Kevin Weil is the chief product officer at OpenAI, where he oversees the development of ChatGPT, enterprise products, and the OpenAI API. Prior to OpenAI, Kevin was head of product at Twitter, Instagram, and Planet, and was instrumental in the development of the Libra (later Novi) cryptocurrency project at Facebook.In this episode, you'll learn:1. How OpenAI structures its product teams and maintains agility while developing cutting-edge AI2. The power of model ensembles—using multiple specialized models together like a company of humans with different skills3. Why writing effective evals (AI evaluation tests) is becoming a critical skill for product managers4. The surprisingly enduring value of chat as an interface for AI, despite predictions of its obsolescence5. How “vibe coding” is changing how companies operate6. What OpenAI looks for when hiring product managers (hint: high agency and comfort with ambiguity)7. “Model maximalism” and why today's AI is the worst you'll ever use again8. Practical prompting techniques that improve AI interactions, including example-based prompting—Brought to you by:• Eppo—Run reliable, impactful experiments• Persona—A global leader in digital identity verification• OneSchema—Import CSV data 10x faster—Where to find Kevin Weil:• X: https://x.com/kevinweil• LinkedIn: https://www.linkedin.com/in/kevinweil/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Kevin's background(04:06) OpenAI's new image model(06:52) The role of chief product officer at OpenAI(10:18) His recruitment story and joining OpenAI(17:20) The importance of evals in AI(24:59) Shipping quickly and consistently(28:34) Product reviews and iterative deployment(39:35) Chat as an interface for AI(43:59) Collaboration between researchers and product teams(46:41) Hiring product managers at OpenAI(48:45) Embracing ambiguity in product management(51:41) The role of AI in product teams(53:21) Vibe coding and AI prototyping(55:55) The future of product teams and fine-tuned models(01:04:36) AI in education(01:06:42) Optimism and concerns about AI's future(01:16:37) Reflections on the Libra project(01:20:37) Lightning round and final thoughts—Referenced:• OpenAI: https://openai.com/• The AI-Generated Studio Ghibli Trend, Explained: https://www.forbes.com/sites/danidiplacido/2025/03/27/the-ai-generated-studio-ghibli-trend-explained/• Introducing 4o Image Generation: https://openai.com/index/introducing-4o-image-generation/• Waymo: https://waymo.com/• X: https://x.com• Facebook: https://www.facebook.com/• Instagram: https://www.instagram.com/• Planet: https://www.planet.com/• Sam Altman on X: https://x.com/sama• A conversation with OpenAI's CPO Kevin Weil, Anthropic's CPO Mike Krieger, and Sarah Guo: https://www.youtube.com/watch?v=IxkvVZua28k• OpenAI evals: https://github.com/openai/evals• Deep Research: https://openai.com/index/introducing-deep-research/• Ev Williams on X: https://x.com/ev• OpenAI API: https://platform.openai.com/docs/overview• Dwight Eisenhower quote: https://www.brainyquote.com/quotes/dwight_d_eisenhower_164720• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder & CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• StackBlitz: https://stackblitz.com/• Claude 3.5 Sonnet: https://www.anthropic.com/news/claude-3-5-sonnet• Anthropic: https://www.anthropic.com/• Four-minute mile: https://en.wikipedia.org/wiki/Four-minute_mile• Chad: https://chatgpt.com/g/g-3F100ZiIe-chad-open-a-i• Dario Amodei on LinkedIn: https://www.linkedin.com/in/dario-amodei-3934934/• Figma: https://www.figma.com/• Julia Villagra on LinkedIn: https://www.linkedin.com/in/juliavillagra/• Andrej Karpathy on X: https://x.com/karpathy• Silicon Valley CEO says ‘vibe coding' lets 10 engineers do the work of 100—here's how to use it: https://fortune.com/2025/03/26/silicon-valley-ceo-says-vibe-coding-lets-10-engineers-do-the-work-of-100-heres-how-to-use-it/• Cursor: https://www.cursor.com/• Windsurf: https://codeium.com/windsurf• GitHub Copilot: https://github.com/features/copilot• Patrick Srail on X: https://x.com/patricksrail• Khan Academy: https://www.khanacademy.org/• CK-12 Education: https://www.ck12.org/• Sora: https://openai.com/sora/• Sam Altman's post on X about creative writing: https://x.com/sama/status/1899535387435086115• Diem (formerly known as Libra): https://en.wikipedia.org/wiki/Diem_(digital_currency)• Novi: https://about.fb.com/news/2020/05/welcome-to-novi/• David Marcus on LinkedIn: https://www.linkedin.com/in/dmarcus/• Peter Zeihan on X: https://x.com/PeterZeihan• The Wheel of Time on Prime Video: https://www.amazon.com/Wheel-Time-Season-1/dp/B09F59CZ7R• Top Gun: Maverick on Prime Video: https://www.amazon.com/Top-Gun-Maverick-Joseph-Kosinski/dp/B0DM2LYL8G• Thinking like a gardener not a builder, organizing teams like slime mold, the adjacent possible, and other unconventional product advice | Alex Komoroske (Stripe, Google): https://www.lennysnewsletter.com/p/unconventional-product-advice-alex-komoroske• MySQL: https://www.mysql.com/—Recommended books:• Co-Intelligence: Living and Working with AI: https://www.amazon.com/Co-Intelligence-Living-Working-Ethan-Mollick/dp/059371671X• The Accidental Superpower: Ten Years On: https://www.amazon.com/Accidental-Superpower-Ten-Years/dp/1538767341• Cable Cowboy: https://www.amazon.com/Cable-Cowboy-Malone-Modern-Business/dp/047170637X—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

This week we talk about Studio Ghibli, Andrej Karpathy, and OpenAI.We also discuss code abstraction, economic repercussions, and DOGE.Recommended Book: How To Know a Person by David BrooksTranscriptIn late-November of 2022, OpenAI released a demo version of a product they didn't think would have much potential, because it was kind of buggy and not very impressive compared to the other things they were working on at the time. This product was a chatbot interface for a generative AI model they had been refining, called ChatGPT.This was basically just a chatbot that users could interact with, as if they were texting another human being. And the results were good enough—both in the sense that the bot seemed kinda sorta human-like, but also in the sense that the bot could generate convincing-seeming text on all sorts of subjects—that people went absolutely gaga over it, and the company went full-bore on this category of products, dropping an enterprise version in August the following year, a search engine powered by the same general model in October of 2024, and by 2025, upgraded versions of their core models were widely available, alongside paid, enhanced tiers for those who wanted higher-level processing behind the scenes: that upgraded version basically tapping a model with more feedstock, a larger training library and more intensive and refined training, but also, in some cases, a model that thinks longer, than can reach out and use the internet to research stuff it doesn't already know, and increasingly, to produce other media, like images and videos.During that time, this industry has absolutely exploded, and while OpenAI is generally considered to be one of the top dogs in this space, still, they've got enthusiastic and well-funded competition from pretty much everyone in the big tech world, like Google and Amazon and Meta, while also facing upstart competitors like Anthropic and Perplexity, alongside burgeoning Chinese competitors, like Deepseek, and established Chinese tech giants like Tencent and Baidu.It's been somewhat boggling watching this space develop, as while there's a chance some of the valuations of AI-oriented companies are overblown, potentially leading to a correction or the popping of a valuation bubble at some point in the next few years, the underlying tech and the output of that tech really has been iterating rapidly, the state of the art in generative AI in particular producing just staggeringly complex and convincing images, videos, audio, and text, but the lower-tier stuff, which is available to anyone who wants it, for free, is also valuable and useable for all sorts of purposes.Just recently, at the tail-end of March 2025, OpenAI announced new multimodal capabilities for its GPT-4o language model, which basically means this model, which could previously only generate text, can now produce images, as well.And the model has been lauded as a sort of sea change in the industry, allowing users to produce remarkable photorealistic images just by prompting the AI—telling it what you want, basically—with usually accurate, high-quality text, which has been a problem for most image models up till this point. It also boasts the capacity to adjust existing images in all sorts of ways.Case-in-point, it's possible to use this feature to take a photo of your family on vacation and have it rendered in the style of a Studio Ghibli cartoon; Studio Ghibli being the Japanese animation studio behind legendary films like My Neighbor Totoro, Spirited Away, and Princess Mononoke, among others.This is partly the result of better capabilities by this model, compared to its precursors, but it's also the result of OpenAI loosening its policies to allow folks to prompt these models in this way; previously they disallowed this sort of power, due to copyright concerns. And the implications here are interesting, as this suggests the company is now comfortable showing that their models have been trained on these films, which has all sorts of potential copyright implications, depending on how pending court cases turn out, but also that they're no long being as precious with potential scandals related to how their models are used.It's possible to apply all sorts of distinctive styles to existing images, then, including South Park and the Simpsons, but Studio Ghibli's style has become a meme since this new capability was deployed, and users have applied it to images ranging from existing memes to their own self-portrait avatars, to things like the planes crashing into the Twin Towers on 9/11, JFK's assassination, and famous mass-shootings and other murders.It's also worth noting that the co-founder of Studio Ghibli, Hayao Miyazaki, has called AI-generated artwork “an insult to life itself.” That so many people are using this kind of AI-generated filter on these images is a jarring sort of celebration, then, as the person behind that style probably wouldn't appreciate it; many people are using it because they love the style and the movies in which it was born so much, though. An odd moral quandary that's emerged as a result of these new AI-provided powers.What I'd like to talk about today is another burgeoning controversy within the AI space that's perhaps even larger in implications, and which is landing on an unprepared culture and economy just as rapidly as these new image capabilities and memes.—In February of 2025, the former AI head at Tesla, founding team member at OpenAI, and founder of an impending new, education-focused project called Eureka Labs named Andrej Karpathy coined the term ‘vibe coding' to refer to a trend he's noticed in himself and other developers, people who write code for a living, to develop new projects using code-assistant AI tools in a manner that essentially abstracts away the code, allowing the developer to rely more on vibes in order to get their project out the door, using plain English rather than code or even code-speak.So while a developer would typically need to invest a fair bit of time writing the underlying code for a new app or website or video game, someone who's vibe coding might instead focus on a higher, more meta-level of the project, worrying less about the coding parts, and instead just telling their AI assistant what they want to do. The AI then figures out the nuts and bolts, writes a bunch of code in seconds, and then the vibe coder can tweak the code, or have the AI tweak it for them, as they refine the concept, fix bugs, and get deeper into the nitty-gritty of things, all, again, in plain-spoken English.There are now videos, posted in the usual places, all over YouTube and TikTok and such, where folks—some of whom are coders, some of whom are purely vibe coders, who wouldn't be able to program their way out of a cardboard box—produce entire functioning video games in a matter of minutes.These games typically aren't very good, but they work. And reaching even that level of functionality would previously have taken days or weeks for an experienced, highly trained developer; now it takes mere minutes or moments, and can be achieved by the average, non-trained person, who has a fundamental understanding of how to prompt AI to get what they want from these systems.Ethan Mollick, who writes a fair bit on this subject and who keeps tabs on these sorts of developments in his newsletter, One Useful Thing, documented his attempts to make meaning from a pile of data he had sitting around, and which he hadn't made the time to dig through for meaning. Using plain English he was able to feed all that data to OpenAI's Deep Research model, interact with its findings, and further home in on meaningful directions suggested by the data.He also built a simple game in which he drove a firetruck around a 3D city, trying to put out fires before a competing helicopter could do the same. He spent a total of about $13 in AI token fees to make the game, and he was able to do so despite not having any relevant coding expertise.A guy named Pieter Levels, who's an experienced software engineer, was able to vibe-code a video game, which is a free-to-play, massively multiplayer online flying game, in just a month. Nearly all the code was written by Cursor and Grok 3, the first of which is a code-writing AI system, the latter of which is a ChatGPT-like generalist AI agent, and he's been able to generate something like $100k per month in revenue from this game just 17 days, post-launch.Now an important caveat here is that, first, this game received a lot of publicity, because Levels is a well-known name in this space, and he made this game as part of a ‘Vibe Coding Game Jam,' which is an event focused on exactly this type of AI-augmented programming, in which all of the entrants had to be at least 80% AI generated. But he's also a very skilled programmer and game-maker, so this isn't the sort of outcome the average person could expect from these sorts of tools.That said, it's an interesting case study that suggests a few things about where this category of tools is taking us, even if it's not representative for all programming spaces and would-be programmers.One prediction that's been percolating in this space for years, even before ChatGPT was released, but especially after generative AI tools hit the mainstream, is that many jobs will become redundant, and as a result many people, especially those in positions that are easily and convincingly replicated using such tools, will be fired. Because why would you pay twenty people $100,000 a year to do basic coding work when you can have one person working part-time with AI tools vibe-coding their way to approximately the same outcome?It's a fair question, and it's one that pretty much every industry is asking itself right now. And we've seen some early waves of firings based on this premise, most of which haven't gone great for the firing entity, as they've then had to backtrack and starting hiring to fill those positions again—the software they expected to fill the gaps not quite there yet, and their offerings suffering as a consequence of that gambit.Some are still convinced this is the way things are going, though, including people like Elon Musk, who, as part of his Department of Government Efficiency, or DOGE efforts in the US government, is basically stripping things down to the bare-minimum, in part to weaken agencies he doesn't like, but also, ostensibly at least, to reduce bloat and redundancy, the premise being that a lot of this work can be done by fewer people, and in some cases can be automated entirely using AI-based systems.This was the premise of his mass-firings at Twitter, now X, when he took over, and while there have been a lot of hiccups and issues resulting from that decision, the company is managing to operate, even if less optimally than before, with about 20% the staff it had before he took over—something like 1,500 people compared to 7,500.Now, there are different ways of looking at that outcome, and Musk's activities since that acquisition will probably color some of our perceptions of his ambitions and level of success with that job-culling, as well. But the underlying theory that a company can do even 90% as well as it did before with just a fifth of the workforce is a compelling argument to many people, and that includes folks running governments, but also those in charge of major companies with huge rosters of employees that make up the vast majority of their operating expenses.A major concern about all this, though, is that even if this theory works in broader practice, and all these companies and governments can function well enough with a dramatically reduced staff using AI tools to augment their capabilities and output, we may find ourselves in a situation in which the folks using said tools are more and more commodified—they'll be less specialized and have less education and expertise in the relevant areas, so they can be paid less, basically, the tools doing more and the humans mostly being paid to prompt and manage them. And as a result we may find ourselves in a situation where these people don't know enough to recognize when the AI are doing something wrong or weird, and we may even reach a point where the abstraction is so complete that very few humans even know how this code works, which leaves us increasingly reliant on these tools, but also more vulnerable to problems should they fail at a basic level, at which point there may not be any humans left who are capable of figuring out what went wrong, since all the jobs that would incentivize the acquisition of such knowledge and skill will have long since disappeared.As I mentioned in the intro, these tools are being applied to images, videos, music, and everything else, as well. Which means we could see vibe artists, vibe designers, vibe musicians and vibe filmmakers. All of which is arguably good in the sense that these mediums become more accessible to more people, allowing more voices to communicate in more ways than ever before.But it's also arguably worrying in the sense that more communication might be filtered through the capabilities of these tools—which, by the way, are predicated on previous artists and writers and filmmakers' work, arguably stealing their styles and ideas and regurgitating them, rather than doing anything truly original—and that could lead to less originality in these spaces, but also a similar situation in which people forget how to make their own films, their own art, their own writing; a capability drain that gets worse with each new generation of people who are incentivized to hand those responsibilities off to AI tools; we'll all become AI prompters, rather than all the things we are, currently.This has been the case with many technologies over the years—how many blacksmiths do we have in 2025, after all? And how many people actually hand-code the 1s and 0s that all our coding languages eventually write, for us, after we work at a higher, more human-optimized level of abstraction?But because our existing economies are predicated on a certain type of labor and certain number of people being employed to do said labor, even if those concerns ultimately don't end up being too big a deal, because the benefits are just that much more impactful than the downsides and other incentives to develop these or similar skills and understandings arise, it's possible we could experience a moment, years or decades long, in which the whole of the employment market is disrupted, perhaps quite rapidly, leaving a lot of people without income and thus a lot fewer people who can afford the products and services that are generated more cheaply using these tools.A situation that's ripe with potential for those in a position to take advantage of it, but also a situation that could be devastating to those reliant on the current state of employment and income—which is the vast, vast majority of human beings on the planet.Show Noteshttps://en.wikipedia.org/wiki/X_Corphttps://devclass.com/2025/03/26/the-paradox-of-vibe-coding-it-works-best-for-those-who-do-not-need-it/https://www.wired.com/story/doge-rebuild-social-security-administration-cobol-benefits/https://www.wired.com/story/anthropic-benevolent-artificial-intelligence/https://arstechnica.com/tech-policy/2025/03/what-could-possibly-go-wrong-doge-to-rapidly-rebuild-social-security-codebase/https://en.wikipedia.org/wiki/Vibe_codinghttps://www.newscientist.com/article/2473993-what-is-vibe-coding-should-you-be-doing-it-and-does-it-matter/https://nmn.gl/blog/dangers-vibe-codinghttps://x.com/karpathy/status/1886192184808149383https://simonwillison.net/2025/Mar/19/vibe-coding/https://arstechnica.com/ai/2025/03/is-vibe-coding-with-ai-gnarly-or-reckless-maybe-some-of-both/https://devclass.com/2025/03/26/the-paradox-of-vibe-coding-it-works-best-for-those-who-do-not-need-it/https://www.creativebloq.com/3d/video-game-design/what-is-vibe-coding-and-is-it-really-the-future-of-app-and-game-developmenthttps://arstechnica.com/ai/2025/03/openais-new-ai-image-generator-is-potent-and-bound-to-provoke/https://en.wikipedia.org/wiki/Studio_Ghibli This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit letsknowthings.substack.com/subscribe

Episode 140: Alex breaks down Pieter Levels' AI-coded flying game, which hit $67,000 in monthly revenue in just 3 weeks. Here's what to expect: The stats & story behind Levels' flying game Key lessons to take from this business Understanding critiques of the game — Show Notes: (0:00) A note from our sponsor (2:26) Welcome back to Founder's Journal (3:09) Peter Levels' AI-coded flying game (6:17) The power of AI in game development (8:00) The value of trusted distribution (13:24) Vibe marketing explained (15:58) Addressing critiques (20:15) Conclusion— Thanks to our presenting sponsor, Gusto. Head to www.gusto.com/alex — Episode Links: • Flying game - https://fly.pieter.com/ • Levels on X - https://x.com/levelsio • Andrej Karpathy - https://www.youtube.com/@AndrejKarpathyCheck Out Alex's Stuff: • storyarb - https://www.storyarb.com/ • CTA - https://www.creatortalentagency.co/ • X - https://x.com/businessbarista • Linkedin - https://www.linkedin.com/in/alex-lieberman/ Learn more about your ad choices. Visit megaphone.fm/adchoices

xAI and Elon Musk have launched Grok-3, their cutting-edge AI model. Is it really a step forward? It's really the cutting-edge? Andrej Karpathy is gonna tell us. The first tri-foldable phone is here. Is there a new huge AI player? And how Apple's move to manufacture in India is going.Sponsors:MackWeldon.com Promocode: BRIANLinks:Elon Musk's xAI releases its latest flagship model, Grok 3 (TechCrunch)Impressions of Grok-3 (@karpathy)Huawei's trifold phone launches outside of China (The Verge)Trump tariffs result in 10% laptop price hike in U.S. says Acer CEO (Tom's Hardware)OpenAI Co-Founder Sutskever's Startup Is Fundraising at $30 Billion-Plus Valuation (Bloomberg)Apple's quiet pivot to India (FT)See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ejaaz and David reunite to dissect the AI Crypto sector's rebound from a 70% crash, fueled by Elon's rumored $97B OpenAI bid and the relentless rise of open-source devs being heads down. They explore how tokens might be the most accessible path to AI exposure, why ARC's curated launchpad could elevate agent quality, and what Virtuals' move onto Solana means for cross-chain expansion. Meanwhile, X (Twitter) embraces a new wave of AI agents, and AI16z reorganizes to stay competitive. Is this the turning point for AI and crypto—or just another plateau? Tune in to find out, anon. ------

Dylan Patel is the founder of SemiAnalysis, a research & analysis company specializing in semiconductors, GPUs, CPUs, and AI hardware. Nathan Lambert is a research scientist at the Allen Institute for AI (Ai2) and the author of a blog on AI called Interconnects. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep459-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: Dylan's X: https://x.com/dylan522p SemiAnalysis: https://semianalysis.com/ Nathan's X: https://x.com/natolambert Nathan's Blog: https://www.interconnects.ai/ Nathan's Podcast: https://www.interconnects.ai/podcast Nathan's Website: https://www.natolambert.com/ Nathan's YouTube: https://youtube.com/@natolambert Nathan's Book: https://rlhfbook.com/ SPONSORS: To support this podcast, check out our sponsors & get discounts: Invideo AI: AI video generator. Go to https://invideo.io/i/lexpod GitHub: Developer platform and AI code editor. Go to https://gh.io/copilot Shopify: Sell stuff online. Go to https://shopify.com/lex NetSuite: Business management software. Go to http://netsuite.com/lex AG1: All-in-one daily nutrition drinks. Go to https://drinkag1.com/lex OUTLINE: (00:00) - Introduction (13:28) - DeepSeek-R1 and DeepSeek-V3 (35:02) - Low cost of training (1:01:19) - DeepSeek compute cluster (1:08:52) - Export controls on GPUs to China (1:19:10) - AGI timeline (1:28:35) - China's manufacturing capacity (1:36:30) - Cold war with China (1:41:00) - TSMC and Taiwan (2:04:38) - Best GPUs for AI (2:19:30) - Why DeepSeek is so cheap (2:32:49) - Espionage (2:41:52) - Censorship (2:54:46) - Andrej Karpathy and magic of RL (3:05:17) - OpenAI o3-mini vs DeepSeek r1 (3:24:25) - NVIDIA (3:28:53) - GPU smuggling (3:35:30) - DeepSeek training on OpenAI data (3:45:59) - AI megaclusters (4:21:21) - Who wins the race to AGI? (4:31:34) - AI agents (4:40:16) - Programming and AI (4:47:43) - Open source (4:56:55) - Stargate (5:04:24) - Future of AI 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

Ep. 284 What if AI could double your email conversion rates overnight? Kipp and Kieran dive into the revolutionary AI strategies that are transforming the way we approach email marketing, featuring insights from Dan Wolchonok of Reforge. Learn more on how leveraging proprietary data can create hyper-personalized emails for increased engagement, the importance of seamlessly integrating AI solutions into existing workflows, and the innovative use of AI-generated content to make compelling email campaigns.  Mentions Dan Wolchonok https://www.linkedin.com/in/danielwolchonok/ Reforge https://www.reforge.com/ Grammarly https://www.grammarly.com/ Andrej Karpathy https://karpathy.ai/ Button Down AI Newsletter https://buttondown.com/ainews Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Produced by Darren Clarke.

Pieter Levels (aka levelsio on X) is a self-taught developer and entrepreneur who has designed, programmed, launched over 40 startups, many of which are highly successful. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep440-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/pieter-levels-transcript 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: Pieter's X: https://x.com/levelsio Pieter's Techno Optimist Shop: https://levelsio.com/ Indie Maker Handbook: https://readmake.com/ Nomad List: https://nomadlist.com Remote OK: https://remoteok.com Hoodmaps: https://hoodmaps.com SPONSORS: To support this podcast, check out our sponsors & get discounts: Shopify: Sell stuff online. Go to https://shopify.com/lex Motific: Generative ai deployment. Go to https://motific.ai AG1: All-in-one daily nutrition drinks. Go to https://drinkag1.com/lex MasterClass: Online classes from world-class experts. Go to https://masterclass.com/lexpod BetterHelp: Online therapy and counseling. Go to https://betterhelp.com/lex Eight Sleep: Temp-controlled smart mattress. Go to https://eightsleep.com/lex OUTLINE: (00:00) - Introduction (11:38) - Startup philosophy (19:09) - Low points (22:37) - 12 startups in 12 months (29:29) - Traveling and depression (42:08) - Indie hacking (46:11) - Photo AI (1:22:28) - How to learn AI (1:31:04) - Robots (1:39:21) - Hoodmaps (2:03:26) - Learning new programming languages (2:12:58) - Monetize your website (2:19:34) - Fighting SPAM (2:23:07) - Automation (2:34:33) - When to sell startup (2:37:26) - Coding solo (2:43:28) - Ship fast (2:52:13) - Best IDE for programming (3:01:43) - Andrej Karpathy (3:11:09) - Productivity (3:24:56) - Minimalism (3:33:41) - Emails (3:40:54) - Coffee (3:48:40) - E/acc (3:50:56) - Advice for young people 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