Lex Fridman Podcast #490 · February 1, 2026 · 4h

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

Nathan Lambert and Sebastian Raschka — two AI researchers on the state of AI in 2026. Where scaling laws are heading, whether we're approaching AGI, China vs. US in AI, and what coding looks like when AI can do most of it.

This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.

Highlights

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Scaling laws are hitting diminishing returns — but not stopping

Lambert: the pure 'make it bigger' era is ending. Future gains come from better data, better architectures, and better reasoning — not just more compute.

Claude ChatGPT Gemini

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