Chapter
Constraints on Intelligent Systems
2:04:05 - 2:16:45 (12:40)
The discussion sheds light on the limitations and constraints of intelligent systems that require colossal computation and the notion of common sense reasoning for better walking, all while exploring the ideas of self-play in automated systems such as AlphaGo.
Clips
The reinforcement learning process allows for systems to continuously improve by playing against other systems in a specific game construct that are slightly better than itself.
2:04:05 - 2:06:12 (02:07)
Summary
The reinforcement learning process allows for systems to continuously improve by playing against other systems in a specific game construct that are slightly better than itself. Although there have been successful AI models such as Go and AlphaGo AlphaZero, the potential for reinforcement learning to achieve greater levels of intelligence still holds promise.
ChapterConstraints on Intelligent Systems
Episode#101 – Joscha Bach: Artificial Consciousness and the Nature of Reality
PodcastLex Fridman Podcast
The purpose of dreams might be to learn certain constraints and create alternative perspectives on the same set of constraints in order to recreate objects and maps from different perspectives.
2:06:12 - 2:08:58 (02:45)
Summary
The purpose of dreams might be to learn certain constraints and create alternative perspectives on the same set of constraints in order to recreate objects and maps from different perspectives.
ChapterConstraints on Intelligent Systems
Episode#101 – Joscha Bach: Artificial Consciousness and the Nature of Reality
PodcastLex Fridman Podcast
Although the idea of creating a neural network controller for walking is compelling, it overlooks the importance of common sense reasoning in the process.
2:08:58 - 2:15:46 (06:48)
Summary
Although the idea of creating a neural network controller for walking is compelling, it overlooks the importance of common sense reasoning in the process. Common sense reasoning allows for the formation of relationships between concepts, something that current deep learning mechanisms lack.
ChapterConstraints on Intelligent Systems
Episode#101 – Joscha Bach: Artificial Consciousness and the Nature of Reality
PodcastLex Fridman Podcast
Elephants without autism couldn't reproduce the line drawing in experiments, highlighting the interlinked nature of the brain and body.
2:15:46 - 2:16:45 (00:59)
Summary
Elephants without autism couldn't reproduce the line drawing in experiments, highlighting the interlinked nature of the brain and body. While AI systems do not fundamentally need a body, having one can allow for controlled experiments and reduce uncertainties in models.