3 ms·
Yes. It was a hilariously bad solution to a real problem. The problem was that their training data yielded outcomes that weren't a representative sample of rea
by Tiktaalik 3y ago
Yes. It was a hilariously bad solution to a real problem.
The problem was that their training data yielded outcomes that weren't a representative sample of reality.
They didn't try to solve that problem.
Instead they just tried to put their thumb on the scale to compensate.
- Havoc 3y agoYes - that seems like a good summary of root cause. This problem needs to be fixed at data level. ...admittedly a challenging proposition so I can understand why everyone is trying to "fix in post" via prompt