Episode 2: "Can Machines Learn To Behave?" Part 2, September 6, 2022
Mystery AI Hype Theater 3000
The Importance of Annotators
In a system based on learning rather than programming, errors and judgment are determined relative the decisions made by thoughtful human judges looking at the same situation. Annotation is necessary to people who have the ground truth there right but not so for those who aren't well-positioned to do it. The idea that like physicists can encode everything um but saying could be said by AI scientists is an example of how this works in practice.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
