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AI Summary
- Nathan Lambert and Sebastian Raschka discuss the state of AI in 2026, covering large language models and scaling laws
- Topics include LLM capabilities, AI coding assistants, training methodologies, and the trajectory of AI development
- Discussion addresses China's AI competition, agent systems, GPU constraints, and progress toward artificial general intelligence
Guests on This Episode
SL
Scaling Laws
1 podcast appearance