Chess and Language Models
Nicholas discusses the rapid evolution of language models and their surprising ability to play chess without explicit programming. Unlike traditional chess engines, the new models learn from sequences of moves, raising questions about the future capabilities of AI. He emphasizes the challenges ahead, drawing parallels with the complexities faced in other areas of machine learning.In this clip
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Machine Learning Street Talk (MLST)
Nicholas Carlini (Google DeepMind)
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