Causality and Understanding
Yann discusses the complexities of establishing causality, highlighting the challenges even experts face, such as how children misinterpret cause and effect. He emphasizes the ongoing research into neural networks that aim to better understand causal relationships, which may help address biases in data. The conversation delves into the philosophical aspects of time and causality, questioning whether our perception is a fundamental aspect of reality or a byproduct of intelligent systems.In this clip
From this podcast
Lex Fridman Podcast
Yann LeCun: Deep Learning, ConvNets, and Self-Supervised Learning | Lex Fridman Podcast #36
Related Questions
Can you explain causality in machine learning as discussed in the episode Yann LeCun: Deep Learning, ConvNets, and Self-Supervised Learning | Lex Fridman Podcast #36 and the clip Causality and Understanding?
Can you explain causality in machine learning based on the episode Yann LeCun: Deep Learning, ConvNets, and Self-Supervised Learning | Lex Fridman Podcast #36 and the clip Causality and Understanding?
Can you explain causality in machine learning?