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Ryan Greenblatt - Solving ARC with GPT4o

Machine Learning Street Talk (MLST)

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Navigating Reasoning in AI and LLMs

This chapter explores the differences between program space and behavior space in AI, specifically focusing on large language models (LLMs) and their reasoning capabilities. The discussion highlights the challenges LLMs face in visual reasoning and puzzle-solving compared to human intuition, emphasizing the role of foundational knowledge and hybrid computation models. It further examines the intricate cognitive processes involved in problem-solving and the interplay between symbolic and neural methods in enhancing AI reasoning.

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