Chapter
The Promising and Perilous Future of the Algorithmic Recommendation
1:10:54 - 1:18:08 (07:13)
In this podcast, a discussion ensues regarding the possibility of an algorithm that would be able to pinpoint exciting moments in a video to clip it out automatically. The implications of such technology and the current problems of algorithmic recommendations are examined.
Clips
The recommendation algorithm works by showing content to a group of people, and if they like it, it continues to show it to a wider audience.
1:10:54 - 1:13:32 (02:38)
Summary
The recommendation algorithm works by showing content to a group of people, and if they like it, it continues to show it to a wider audience. As more people enjoy the content, the algorithm expands the circle of recommendations until it becomes viral.
ChapterThe Promising and Perilous Future of the Algorithmic Recommendation
EpisodeCristos Goodrow: YouTube Algorithm
PodcastLex Fridman Podcast
The AI algorithms ability to identify exciting parts of videos is a significant problem for the YouTube algorithm.
1:13:32 - 1:18:08 (04:35)
Summary
The AI algorithms ability to identify exciting parts of videos is a significant problem for the YouTube algorithm. With the ability to detect the areas of interest, it would be much easier to provide direct links that the viewers want efficiently, especially with how-to videos.