Consciousness and Learning
Geoffrey discusses the potential of electrical circuits in machine learning, comparing the efficacy of backpropagation to forward algorithms. He suggests that while large language models possess vast knowledge, the human brain's challenge lies in effectively utilizing its synapses. The conversation also touches on the complex nature of consciousness, highlighting the difficulty in defining it as a single essence.In this clip
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