Peter Steinberger is the creator of OpenClaw, an open-source AI agent framework that’s the fastest-growing project in GitHub history.
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Peter’s GitHub: https://github.com/steipete
Peter’s Website: https://steipete.com
Peter’s LinkedIn: https://www.linkedin.com/in/steipete
OpenClaw Website: https://openclaw.ai
OpenClaw GitHub: https://github.com/openclaw/openclaw
OpenClaw Discord: https://discord.gg/openclaw

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OUTLINE:
(00:00) – Introduction
(03:51) – Sponsors, Comments, and Reflections
(15:29) – OpenClaw origin story
(18:48) – Mind-blowing moment
(28:15) – Why OpenClaw went viral
(32:12) – Self-modifying AI agent
(36:57) – Name-change drama
(54:07) – Moltbook saga
(1:02:26) – OpenClaw security concerns
(1:11:07) – How to code with AI agents
(1:42:02) – Programming setup
(1:48:45) – GPT Codex 5.3 vs Claude Opus 4.6
(1:57:52) – Best AI agent for programming
(2:19:52) – Life story and career advice
(2:23:49) – Money and happiness
(2:27:41) – Acquisition offers from OpenAI and Meta
(2:44:51) – How OpenClaw works
(2:56:09) – AI slop
(3:02:13) – AI agents will replace 80% of apps
(3:10:50) – Will AI replace programmers?
(3:22:50) – Future of OpenClaw community

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).
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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

Paul Rosolie is a naturalist, explorer, author of a new book titled Junglekeeper, and is someone who has dedicated his life to protecting the Amazon rainforest.
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OUTLINE:
(00:00) – Introduction
(02:34) – Sponsors, Comments, and Reflections
(12:00) – Uncontacted tribes in the Amazon Jungle
(19:46) – Intense new encounter
(42:52) – Never-before-seen footage of tribe warriors
(56:08) – The mysteries of the jungle
(1:10:43) – Tribe’s diet: Monkeys, turtles, and turtle eggs
(1:20:19) – Jane Goodall
(1:26:31) – Advice for young people
(1:35:45) – Cartel, Narco-traffickers & assassination attempts
(1:57:45) – Climbing the giant tree
(2:08:43) – Giant anaconda
(2:26:01) – Rescuing a spider monkey
(2:32:05) – Dangerous animal encounters
(2:42:13) – Writing, journaling, and great writer inspirations

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