3 ms·
Does it necessarily require a judge? Many tasks have objective success criteria. A basketball goes through the hoop or it doesn’t. If the success criteria are
by danenania 2y ago
Does it necessarily require a judge? Many tasks have objective success criteria. A basketball goes through the hoop or it doesn’t.
If the success criteria are inherently subjective, like music or art, you can use human reactions as the criteria, while also using reasoning to infer principles about what is or isn’t received well. That’s what humans do.
- Jensson 2y ago> Does it necessarily require a judge? Many tasks have objective success criteria. A basketball goes through the hoop or it doesn’t. You just said what there is to judge in one specific scenario, a general AI has to make the decision to judge itself that way which is not objective, it is extremely hard to decide what to judge yourself by in a generic situation. For example, lets say you are in a basketball court, with a basketball. What is a good outcome? Is it shooting the ball in the hoop? But maybe it isn't your turn, someone else is shooting now, then shooting at the hoop is a bad outcome, how do you make the AI recognize that instead of mindlessly trying to make the ball go in the hoop without considering the context?
- danenania 2y agoI’d say that while a full basketball game is a lot more complex, it’s made up of a lot of component tasks that still have objective success criteria: dribbling, passing, setting picks, doing your part in a play, etc. Ultimately your team either scores or it doesn’t. Not to say it isn’t difficult, but I don’t think humans are doing anything particularly magical when they learn to play basketball—something I did myself when I was a kid. You learn each skill from a coach’s demonstration, practice them all a lot (practice = trial and error) and develop an intuition (reasoning) about what do to in various situations.