AI is not error-free and it doesn't have to be. It has to have the same or lower error rate as humans.
AI is not error-free and it doesn't have to be. It has to have the same or lower error rate as humans.
- re: testability, clearly you haven't worked deeply with AI. AI makes unpredictable mistakes. Can you test those? You can't.
- If y then x is not a real argument. You're saying [if x] but x can never be true. So that's a fallacious standpoint.
- LLMs don't 'reason'. They're just using sophisticated pattern-matching. Human error rate will never be beaten, as far as the tasks involve unpredictability (so something like chess is predictable). -
Human error rates have already been beaten, even in precisely the domains we are discussing here. Just look at safety data from Waymo for example [1].