
31 - Singular Learning Theory with Daniel Murfet
AXRP - the AI X-risk Research Podcast
Intro
This chapter delves into singular learning theory, a mathematical framework that enhances our understanding of neural networks beyond classical statistical learning. The discussion highlights its advantages in accommodating the complexities of deep learning models and its implications for artificial intelligence alignment.
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