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AI Summary
- Richard Sutton, father of RL and 2024 Turing Award winner, argues LLMs cannot learn on-the-job and will be obsoleted by continuous learning architectures
- Proposes a new paradigm where agents learn experientially like animals rather than relying on discrete pre-training phases
- Debates whether LLMs can serve as foundation models for experiential learning or represent a fundamentally limited approach