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#215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI

Lex Fridman Podcast

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Advancements in Program Synthesis and Robotics

This chapter examines program synthesis in machine learning, emphasizing the importance of executing and evaluating generated programs for enhanced accuracy. It also delves into the complexities of developing AI-driven robots, particularly in the context of solving a Rubik's Cube through reinforcement learning and simulation techniques. The discussion highlights the challenges in data scarcity and the implications of AI advancements in critical systems.

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