4 ms·
I am 100% certain that the training of such an AI will result in winning a game without ever building a single city* and 1,000 other exploits before being nerf
by Baeocystin 3y ago
I am 100% certain that the training of such an AI will result in winning a game without ever building a single city* and 1,000 other exploits before being nerfbatted enough to play a 'real' game.
(That doesn't mean I don't want to see the ridiculousness it comes up with!)
* https://www.youtube.com/watch?v=6CZEEvZqJC0 https://www.youtube.com/watch?v=6CZEEvZqJC0
- jdietrich 3y agoIf you train the model purely based on win rate, sure. Fortunately, we can efficiently use RLHF to train a model to play in a human-like way and give entertaining matches.
- lordnacho 3y agoI knew it, I knew it! It would be a Spiffing Brit video. That guy is a genius at finding exploits in computer games. I don't know how he does it, I think you need to play a fair bit of each game before you find these little corners of the ruleset.
- boppo1 3y agoIdk maybe he uses some sort of fuzzer
- Aerroon 3y agoBut wouldn't this be amazing for the developer to fix a lot of edge cases/bugs?
- Baeocystin 3y agoMaybe, maybe not. The stochastic, black-box nature of the current wave of ML systems gives me a gut feeling that using them like this is more of a Monkey's Paw wish granter than useful tool without a lot of refinement first. Time will tell!