Chapter
Learning Causation with Millions of Variables
41:10 - 45:43 (04:33)
The discussion revolves around the complexity of learning causation in a world with millions of variables and how much causal information is required to understand a model.
Clips
The importance of building a causal model without relying on human experts and the challenge of doing so is discussed in this podcast episode.
41:10 - 41:56 (00:46)
Technology
Summary
The importance of building a causal model without relying on human experts and the challenge of doing so is discussed in this podcast episode.
ChapterLearning Causation with Millions of Variables
EpisodeJudea Pearl: Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI
PodcastLex Fridman Podcast
This podcast discusses the challenge of integrating and forming causal relationships from different sources of data in order to understand how babies learn to manipulate physical objects.
41:56 - 43:59 (02:02)
Object Manipulation
Summary
This podcast discusses the challenge of integrating and forming causal relationships from different sources of data in order to understand how babies learn to manipulate physical objects.
ChapterLearning Causation with Millions of Variables
EpisodeJudea Pearl: Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI
PodcastLex Fridman Podcast
The process of learning causation in a world with millions of variables can be achieved by combining simple models for many sources and disciplines along with the use of metaphors as expert systems.
43:59 - 45:43 (01:44)
Causation
Summary
The process of learning causation in a world with millions of variables can be achieved by combining simple models for many sources and disciplines along with the use of metaphors as expert systems.