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

Technology
Global
Commencé February 02, 2026

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, contac...

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CLAIM Publié par will • Feb 02, 2026
The collaboration between AI researchers and engineers is essential for creating robust AI systems that can operate safely in diverse environments.

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CLAIM Publié par will • Feb 02, 2026
Scaling laws in AI research highlight the need for ethical considerations as we strive towards AGI and its implications for society.

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CLAIM Publié par will • Feb 02, 2026
Overreliance on AI coding tools may degrade programming skills among developers, leading to a future workforce lacking fundamental knowledge.

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CLAIM Publié par will • Feb 02, 2026
China's aggressive AI development poses a significant challenge to global tech leadership and raises concerns about data privacy and security.

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CLAIM Publié par will • Feb 02, 2026
The rapid advancement of LLMs will revolutionize education, enabling personalized learning experiences for every student.

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