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  • #490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI

    1 FEB

    1

    #490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI

    Nathan Lambert and Sebastian Raschka are machine learning researchers, engineers, and educators. Nathan is the post-training lead at the Allen Institute for AI (Ai2) and the author of The RLHF Book. Sebastian Raschka is the author of Build a Large Language Model (From Scratch) and Build a Reasoning Model (From Scratch). Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep490-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/ai-sota-2026-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 SPONSORS: To support this podcast, check out our sponsors & get discounts: Box: Intelligent content management platform. Go to https://box.com/ai Quo: Phone system (calls, texts, contacts) for businesses. Go to https://quo.com/lex UPLIFT Desk: Standing desks and office ergonomics. Go to https://upliftdesk.com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Shopify: Sell stuff online. Go to https://shopify.com/lex CodeRabbit: AI-powered code reviews. Go to https://coderabbit.ai/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ OUTLINE: (00:00) – Introduction (01:39) – Sponsors, Comments, and Reflections (16:29) – China vs US: Who wins the AI race? (25:11) – ChatGPT vs Claude vs Gemini vs Grok: Who is winning? (36:11) – Best AI for coding (43:02) – Open Source vs Closed Source LLMs (54:41) – Transformers: Evolution of LLMs since 2019 (1:02:38) – AI Scaling Laws: Are they dead or still holding? (1:18:45) – How AI is trained: Pre-training, Mid-training, and Post-training (1:51:51) – Post-training explained: Exciting new research directions in LLMs (2:12:43) – Advice for beginners on how to get into AI development & research (2:35:36) – Work culture in AI (72+ hour weeks) (2:39:22) – Silicon Valley bubble (2:43:19) – Text diffusion models and other new research directions (2:49:01) – Tool use (2:53:17) – Continual learning (2:58:39) – Long context (3:04:54) – Robotics (3:14:04) – Timeline to AGI (3:21:20) – Will AI replace programmers? (3:39:51) – Is the dream of AGI dying? (3:46:40) – How AI will make money? (3:51:02) – Big acquisitions in 2026 (3:55:34) – Future of OpenAI, Anthropic, Google DeepMind, xAI, Meta (4:08:08) – Manhattan Project for AI (4:14:42) – Future of NVIDIA, GPUs, and AI compute clusters (4:22:48) – Future of human civilization

    1 Feb

    •
  • Microsoft Volume II

    22/07/2024

    2

    Microsoft Volume II

    In 1999, Microsoft became the most valuable company in the world. And in 2019, Microsoft became the most valuable company in the world, again. But… what happened in the twenty years in between? The answer, as we discovered in our research, is probably not what you think. In this episode we explore and analyze the browser wars and the DOJ case, Windows XP through 8, Surface, Xbox, search, Yahoo!, Bing, the iPhone, Nokia, mobile, social, Facebook… and oh yeah, a little thing called Azure and the enterprise — which ended up becoming so big that no failures mattered. Tune in for Microsoft, Volume II. Sponsors: WorkOS: https://bit.ly/workos25Sierra: https://bit.ly/acquiredsierraSentry: https://bit.ly/acquiredsentryAnthropic: https://bit.ly/acquiredclaude25Links: Bill Gurley on Android’s “Less Than Free” business modelAll episode sourcesCarve Outs: Meta Ray-BansOzlo SleepbudsM3 Macbook AirModel Y More Acquired! Get email updates with hints on next episode and follow-ups from recent episodesJoin the SlackSubscribe to ACQ2Merch Store!© Copyright 2015-2025 ACQ, LLC ‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

    22/07/2024

    •
    4h 50m
  • Travis Kalanick & Michael Dell Live from Austin, Texas

    1 DAY AGO

    3

    Travis Kalanick & Michael Dell Live from Austin, Texas

    (0:00) Travis Kalanick: Officially exiting stealth mode, what he's been working on (5:52) How to automate the physical world, markets to go after (11:00) Return to self-driving: Tesla, Waymo, and the autonomous race (16:17) Leaving Los Angeles for Austin, the decline of truth and justice in California (25:51) Actuators, robot hands, "Capital as a weapon," Middle East SWF impacted by Iran War (36:00) Michael Dell: Dorm room to $140B in annual revenue, why Texas attracts founders (43:46) Dell's $50B AI infrastructure bet (1:03:50) Invest America: Michael Dell's $6.25B gift - A 401k from birth for 25M kids This podcast was recorded LIVE at Arena Hall in Austin, Texas. Thanks to our partners for making this event possible!: EY: Austin vibes meet AI innovation. Thanks to EY for co‑hosting with us at #SXSW. Discover what executives are saying about AI transformation in the latest AI Pulse Survey. https://ey.com/en_us/insights/emerging-technologies/pulse-ai-survey Forge Global: We're proud to highlight our partners at Forge Global, who are helping the world's most innovative private companies and their teams gain #liquidcourage on their terms. Learn more here: https://forgeglobal.com/who-we-serve/private-companies/ De'Longhi Athena Polymarket

    1 day ago

    •
    1h 16m
  • Ian Goodfellow: Generative Adversarial Networks (GANs)

    18/04/2019

    4

    Ian Goodfellow: Generative Adversarial Networks (GANs)

    Ian Goodfellow is the author of the popular textbook on deep learning (simply titled “Deep Learning”). He coined the term Generative Adversarial Networks (GANs) and with his 2014 paper is responsible for launching the incredible growth of research on GANs. Video version is available on YouTube. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations.

    18/04/2019

    •
    1h 9m
  • Microsoft Volume I

    22/04/2024

    5

    Microsoft Volume I

    Microsoft. After nearly a decade of Acquired episodes, we are finally ready to tackle the most valuable company ever created. The company that put a computer on every desk and in every home. The company that invented the software business model. The company that so thoroughly and completely dominated every conceivable competitor that the United States government intervened and kneecapped it… yet it’s STILL the most valuable company in the world today. This episode tells the story of Microsoft in its heyday, the PC Era. We cover its rise from a teenage dream to the most powerful business and technology force in history — the 20-year period from 1975 to 1995 that took Bill and Paul from the Lakeside high school computer room to launching Windows 95 alongside Jay Leno and the Rolling Stones. From BASIC to DOS, Windows, Office, Intel, IBM, Xerox PARC, Apple, Steve Jobs, Steve Ballmer… it’s all here, and it’s all amazing. Tune in and enjoy… Microsoft. Sponsors: WorkOS: https://bit.ly/workos25Sierra: https://bit.ly/acquiredsierraSentry: https://bit.ly/acquiredsentryAnthropic: https://bit.ly/acquiredclaude25Links: Congress changing copyright law in 1980 to include “computer programs”Acquired “classic” on Microsoft’s 1987 acquisition of Forethought / PowerPointQuartr's charts on Microsoft's revenues, market cap, IBM comparison, and moreAll episode sourcesCarve Outs: LGRAndré 3000’s new album + GQ InterviewMeta Ray-BansVisual Designer Julia RundbergSummer Health More Acquired! Get email updates with hints on next episode and follow-ups from recent episodesJoin the SlackSubscribe to ACQ2Merch Store!© Copyright 2015-2025 ACQ, LLC ‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

    22/04/2024

    •
    4h 24m
  • 006: Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu

    16/10/2016

    6

    006: Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu

    In this session of the Super Data Science Podcast, I chat with Expert Financial Modeler Xinran Liu. You will learn about Financial Modeling, how Data Scientists can get into this space, the difference between inputs and assumptions and more. If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/6

    16/10/2016

    •
    54 min
  • The Mother Of All Meta Layoffs?

    2 DAYS AGO

    7

    The Mother Of All Meta Layoffs?

    Is Meta about to do the mother of all layoffs? New AirPods Max 2. Why OpenAI delayed its sexytime chat… the calls to do so were coming from inside the house. What does it mean if the San Francisco real estate market is ripping again? And what if it ends up Apple has played a blinder by sitting out AI CAPEX spending? Exclusive: Meta planning sweeping layoffs as AI costs mount (Reuters) Apple quietly launches AirPods Max 2 (TechCrunch) Encyclopedia Britannica sues OpenAI over AI training (Reuters) OpenAI’s Bid to Allow X-Rated Talk Is Freaking Out Its Own Advisers (WSJ) The AI Boom Has Exploded the San Francisco Housing Market (WSJ) The most brilliant move in corporate history? (ASYMCO) Learn more about your ad choices. Visit megaphone.fm/adchoices

    2 days ago

    •
    22 min
  • Ep 723: From AI Chatbot to Autonomous Coworkers: How Consumer AI Has Changed and What's Next (Start Here Series Vol 10)

    27 FEB

    8

    Ep 723: From AI Chatbot to Autonomous Coworkers: How Consumer AI Has Changed and What's Next (Start Here Series Vol 10)

    If your entire company was using ChatGPT in 2022.... good chance you ended up in some trouble. 😬 Now if you're company is NOT using AI in 2026.... you'll definitely be in trouble.  But a different kind.  That's how quickly AI has changed the business landscape. What was once a megaviral party trick in 2022 is not the lifeblood of the American Enterprise.  So.... how the heck did it happen so fast?  In our 10th volume of the 'Start Here Series,' we break it all down.  From AI Chatbot to Autonomous Coworkers: How Consumer AI Has Changed and What's Next - An Everyday AI Chat with Jordan Wilson Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Join the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: info@youreverydayai.com Connect with Jordan on LinkedIn Topics Covered in This Episode: Five Phases of AI-Enabled WorkFrom Chatbots to Autonomous AI CoworkersLarge Language Models Evolution TimelineBusiness Chat AI and Team IntegrationAgentic AI Era—Models with ReasoningDesktop AI Agents and Local File AccessSecurity and Governance for Desktop AIScheduling Layer in AI AgentsKey AI Agent Products and ComparisonsActionable Strategies for AI Implementation Timestamps: 00:00 From Chatbot to Autonomous Coworker 03:14 AI's Desktop Agent Revolution 06:47 AI Phases and Overlap Explained 10:55 "Early AI Models Were Ineffective" 13:51 AI Transforming Work by 2025 17:14 "Shift to New Era AI" 21:20 "AI Agents Controlling Computers" 24:11 "OpenAI's Multi-Agent Claude Launcher" 28:21 "Future of AI in Business" 30:21 "Proactive AI Revolutionizing Work" Keywords:  AI chatbot, autonomous coworker, consumer AI, five phases of AI-enabled work, AI agents, desktop AI, agentic era, business chat, scheduling AI, scheduled tasks, large language models, generative AI, ChatGPT, November 2022 AI launch, Microsoft Copilot, Anthropic Claude, Google Gemini, reasoning models, agentic browsers, AI coworkers, virtual AI agents, Codex, Claude Cowork, Claude Code,  Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

    27 Feb

    •
    34 min
  • What Makes a Dollar Matter? Lessons from Coefficient Giving

    10/12/2025

    9

    What Makes a Dollar Matter? Lessons from Coefficient Giving

    What if you could identify exactly where your philanthropic dollar would save the most lives or improve the most years of healthy living?  In this episode, Deena Mousa, lead researcher at Coefficient Giving (formerly Open Philanthropy), walks us through the rigorous frameworks that guide one of the world's most analytically driven funders. From evaluating causes using importance, neglectedness, and tractability, to calculating social return on investment, Deena explains how Coefficient Giving approaches everything from malaria prevention to AI's potential in low-resource settings. The conversation explores why AI hasn't replaced radiologists despite predictions a decade ago, and what that teaches us about deploying technology in complex systems. Deena also shares how improving AI performance in low-resource languages could dramatically shift the trajectory of global health equity. If you're curious about evidence-based philanthropy, the real-world challenges of AI deployment in global health, or how to learn as fast as possible when making high-stakes funding decisions, this conversation offers a masterclass in thoughtful impact maximization.

    10/12/2025

    •
    52 min
  • Episode 503: Hardware is hard and my PMs are pushing AI slop code

    9 MAR

    10

    Episode 503: Hardware is hard and my PMs are pushing AI slop code

    In this episode, Dave and Jamison answer these questions: I’m a software developer with about 15 years in the industry, and I am soon starting as the CTO of a robotics company with about 50 employees. Though I have years of experience and an academic background within the field of robotics, I have always been focused on the software side of things. In my new role, I am ultimately responsible for the hardware team as well. How do I go about earning the respect, and becoming an effective leader, of my new colleagues working in a field in which I am not an expert myself? Hi, I’m meowmeow, and I’ve enjoyed your podcast for a long time. I’m working at a small engineering company which don’t have lots of profit. Recently, the PMs at my company(including the CEO) have started “vibe coding” directly on our product. They’ve even added PMs to the project planning list as contributors. Whenever they open a PR, the code is AI-generated and reflects their personal working style. The code quality is fairly low and engineers end up spending a lot of time reviewing and fixing it, even though we’re already under a heavy workload. Our CEO comes from a product management background. He believes PMs should write code and deploy their own implementations, and that engineers are not fast enough and should simply move faster. I’ve already been feeling stressed due to the workload, and this situation seems to be making it worse. Engineering leadership doesn’t seem able to push back effectively. What should I do?

    9 Mar

    •
    37 min

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