Many people, in many fields, think Machine Learning won't replace their analysts because their humans are better than an algorithm. But it's not just about side-by-side comparisons. The bigger question is, "what percentage of the data can humans actually look at?", and the answer to that question (a tiny fraction) is the reason ML will be so helpful.

Judge AI based on Output, Not Mechanism
06:58

Humans Need Entropy
04:19

Why I Think Karpathy is Wrong on the AGI Timeline
09:54