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

Lex Fridman Podcast

Conversations about science, technology, history, philosophy and the nature of intelligence, consciousness, love, and power. Lex is an AI researcher at MIT and beyond.

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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See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc.
Transcript: 
<a href="https://lexfridman.com/ai-sota-2026-transcript">https://lexfridman.com/ai-sota-2026-transcript</a>
CONTACT LEX: 
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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

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

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