Chapter
The Limits of Deep Learning
Deep learning systems have limits in terms of their ability to acquire and use knowledge for multiple purposes, and rely heavily on vast amounts of raw sensory data rather than explicit representations of knowledge. These systems lack true understanding or knowledge, but have shown the advantage of being "sloppy" in their approach.
Clips
The current deep learning systems do not have actual knowledge and there is already enough hardware to create super intelligent AI, but just having faster machines will not solve this issue.
10:31 - 12:58 (02:26)
Summary
The current deep learning systems do not have actual knowledge and there is already enough hardware to create super intelligent AI, but just having faster machines will not solve this issue.
ChapterThe Limits of Deep Learning
Episode#364 - Stuart Russell - The Terrifying Problem Of AI Control
PodcastModern Wisdom
In the deep learning framework, we do not have a way to cumulatively acquire knowledge for multiple purposes, unlike classical frameworks.
12:58 - 16:02 (03:04)
Summary
In the deep learning framework, we do not have a way to cumulatively acquire knowledge for multiple purposes, unlike classical frameworks. However, there is an advantage to being less precise in deep learning.