Scaling and Limitations
Ilya discusses the significance of scaling in deep learning, emphasizing that it's not just about scaling anything, but scaling something that can truly benefit from it. He highlights the limitations of large language models, noting their reliance on linguistic data and the disconnect from underlying reality, as illustrated by inaccuracies in generated content. The conversation hints at ongoing research aimed at addressing these challenges.In this clip
From this podcast
Eye on AI
The Mastermind Behind GPT-4 and the Future of AI | Ilya Sutskever
Related Questions
What does Ilya Sutskever think about the understanding of language by models like GPT-2 in the episode Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94 and the clip Language and Learning?
What does Ilya Sutskever think about the understanding of language by models like GPT-2 in the episode Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94 and the clip Surprising Success of GPT-2?