Misconceptions in AI
Subbarao discusses the common misconceptions surrounding AI models, particularly the chain of thought approach, emphasizing that these models are not capable of generalizing beyond the examples provided. Tim highlights the brittleness of certain techniques, pointing out that while we aim to teach models to solve problems, they fundamentally lack the ability to generalize like a Turing machine. The conversation reveals the gap between public perception and the actual capabilities of language models.In this clip
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Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)
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