Bad research doesn’t stink - Carl J. Pearson, PhD

Instead of sharing the end product of their research, users are increasingly comfortable learning in public and publish their process, including any mistakes or dead ends. The epitome of this “learning

if your job is legible enough that people can make a dataset clearly pointing out what is right and what is wrong, you are at the highest risk for an AI model being “superhuman” at your job. It is even more risky if it is possible to articulate your thought process in a way that is verifiable.

Looking at this perspective, it makes more sense that c... See more