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Misha Laskin, Reflection.ai — From Physics to SuperIntelligence

Manifold

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Reinforcement Learning and Reasoning Models

This chapter explores the evolution of reasoning models in artificial intelligence, particularly during the speaker's tenure at Google. It examines the interplay between reinforcement learning and language model capabilities, discussing current trends, limitations, and future possibilities in AI. The discussion also highlights the influence of theoretical physics on AI research approaches, advocating for simplicity in problem-solving to enhance performance.

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