Chapter

Teaching a system to predict the next video frame
Discussing the possibility of an algorithm that watches numerous YouTube videos to predict the next frame of video, and whether it can understand enough about the physics of the world and perform common sense reasoning required for the challenge.
Clips
The speaker talks about using user tracking to see what people find exciting in videos and wishes that YouTube would explore using cameras to track users' emotional reactions while watching videos.
1:18:07 - 1:20:12 (02:04)
Summary
The speaker talks about using user tracking to see what people find exciting in videos and wishes that YouTube would explore using cameras to track users' emotional reactions while watching videos.
ChapterTeaching a system to predict the next video frame
EpisodeCristos Goodrow: YouTube Algorithm
PodcastLex Fridman Podcast
Andrew Ng discusses the challenges of video understanding which includes precision and the vast amount of information it contains.
1:20:12 - 1:22:02 (01:49)
Summary
Andrew Ng discusses the challenges of video understanding which includes precision and the vast amount of information it contains. He further explains the difficulties in determining the distinctions among the large number of classes in machine learning with an example of identifying a player in a sports game based on the logo on their chest or their number.
ChapterTeaching a system to predict the next video frame
EpisodeCristos Goodrow: YouTube Algorithm
PodcastLex Fridman Podcast
AI systems can learn about the nature of reality, physics and common sense reasoning by watching YouTube videos and trying to predict the next frame, which can eventually result in forming an understanding of what's going on in the scene.
1:22:02 - 1:25:59 (03:56)
Summary
AI systems can learn about the nature of reality, physics and common sense reasoning by watching YouTube videos and trying to predict the next frame, which can eventually result in forming an understanding of what's going on in the scene.