Chapter
Clips
The principle that cognition arises from the brain as a compression algorithm means that we need to be able to run appropriate behavioral programs despite not knowing the context, environment, or situation they may be running in.
2:20:53 - 2:25:53 (04:59)
Summary
The principle that cognition arises from the brain as a compression algorithm means that we need to be able to run appropriate behavioral programs despite not knowing the context, environment, or situation they may be running in. Using this principle, the best trading strategy may be determined by a compression algorithm analyzing past market data.
ChapterThe limitations of compression algorithms
Episode#120 – François Chollet: Measures of Intelligence
PodcastLex Fridman Podcast
In this podcast episode, the host and guest discuss the importance of diversity in models for generalization, whether in terms of stock portfolios or machine learning.
2:25:53 - 2:28:34 (02:41)
Summary
In this podcast episode, the host and guest discuss the importance of diversity in models for generalization, whether in terms of stock portfolios or machine learning. They draw comparisons between the need for robust generalization and diversity in both domains.
ChapterThe limitations of compression algorithms
Episode#120 – François Chollet: Measures of Intelligence
PodcastLex Fridman Podcast
The things we contribute to culture become a part of the minds of future humans forever, which is why we should carefully choose the kind of reports we want to create and propagate into the future.
2:28:34 - 2:31:42 (03:07)
Summary
The things we contribute to culture become a part of the minds of future humans forever, which is why we should carefully choose the kind of reports we want to create and propagate into the future. Essentially, everything that makes up ourselves, including our most personal thoughts, is not actually our own.