Chapter
The Necessity of Interaction for Self-Supervised Learning
1:22:06 - 1:31:01 (08:55)
In order to train a causal model of the world that allows for the prediction of the consequences of actions, a system must interact with the world and learn from its mistakes. The idea of consciousness and its role in artificial intelligence parallels questions from centuries ago about the workings of the eye.
Clips
Active learning, which involves a system interacting with the world and improving over time, is key to self-supervised learning.
1:22:06 - 1:26:11 (04:05)
Summary
Active learning, which involves a system interacting with the world and improving over time, is key to self-supervised learning. This method is more efficient in improving learning and can lead to significant progress.
ChapterThe Necessity of Interaction for Self-Supervised Learning
Episode#258 – Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning
PodcastLex Fridman Podcast
The prefrontal cortex of our brain acts as an engine for our world model by creating a single model that can be configured for the task at hand, which can become automated over time with repetition.
1:26:11 - 1:29:02 (02:50)
Summary
The prefrontal cortex of our brain acts as an engine for our world model by creating a single model that can be configured for the task at hand, which can become automated over time with repetition.
ChapterThe Necessity of Interaction for Self-Supervised Learning
Episode#258 – Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning
PodcastLex Fridman Podcast
The podcast discusses how consciousness is not a consequence of the power of our minds, but rather the limitation of our brains, along with questioning the usefulness of feeling like a specific experience is really "you".
1:29:02 - 1:31:01 (01:58)
Summary
The podcast discusses how consciousness is not a consequence of the power of our minds, but rather the limitation of our brains, along with questioning the usefulness of feeling like a specific experience is really "you".