Chapter
Memory and Consciousness in Machine Learning
2:21:27 - 2:28:29 (07:02)
The ability to remember and selectively forget information is crucial for human-like consciousness, which is yet to be achieved in machine learning. Observing systems with internal representations and physically equivalent situations can help identify experimental observables associated with memory and consciousness.
Clips
In this podcast episode, the speaker explores the concept of internal representation and how it relates to the Turing test for goal directedness.
2:21:27 - 2:25:37 (04:09)
AI
Summary
In this podcast episode, the speaker explores the concept of internal representation and how it relates to the Turing test for goal directedness.
ChapterMemory and Consciousness in Machine Learning
Episode#279 – Alien Debate: Sara Walker and Lee Cronin
PodcastLex Fridman Podcast
The ability to remember and selectively forget information is crucial in human intelligence, and would be necessary for machine learning to achieve human-like consciousness.
2:25:37 - 2:28:29 (02:52)
Machine Learning
Summary
The ability to remember and selectively forget information is crucial in human intelligence, and would be necessary for machine learning to achieve human-like consciousness. However, current machine learning and artificial intelligence lack this ability.