Neural Network Limitations
Ilya discusses the inherent limitations of neural networks, particularly their tendency to hallucinate and produce less-than-ideal outputs. He emphasizes the importance of reinforcement learning from human feedback in refining these outputs and expresses optimism that improving this process could significantly reduce errors. The conversation highlights the evolving methods of teaching AI to better align with user expectations.In this clip
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Eye on AI
The Mastermind Behind GPT-4 and the Future of AI | Ilya Sutskever
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