Chapter
The Limitations of Neural Networks in Representing the World
59:04 - 1:06:29 (07:25)
Neural networks are limited in representing the world and constructing mental models and analogies, as well as achieving what humans can do. This poses a challenge in creating more advanced AI technology in the future.
Clips
There are limitations to the ability of neural networks to represent the world beyond what they learn from their data – specifically, they struggle to form mental models and make analogies like humans do, due to the limitations of their learning approach.
59:04 - 1:01:58 (02:54)
neural networks
Summary
There are limitations to the ability of neural networks to represent the world beyond what they learn from their data – specifically, they struggle to form mental models and make analogies like humans do, due to the limitations of their learning approach.
ChapterThe Limitations of Neural Networks in Representing the World
EpisodeMelanie Mitchell: Concepts, Analogies, Common Sense & Future of AI
PodcastLex Fridman Podcast
Gary Marcus and Sam Harris question the level of criticism against deep learning and discuss its potential role in perception.
1:01:58 - 1:06:29 (04:31)
Deep Learning
Summary
Gary Marcus and Sam Harris question the level of criticism against deep learning and discuss its potential role in perception. They also share insights on different experiments done with deep learning systems.