I’m not sure I agree that it’s a useful intuition pump for the ways an AGI can surprisingly-optimize things. They’re amusing, but fundamentally based on out-of-game knowledge about the structure of the game. Unless you’re positing a simulation hypothesis, AND that AGI somehow escapes the simulation, it’s not really analogous.
They’re amusing, but fundamentally based on out-of-game knowledge about the structure of the game.
Evolutionary and DRL methods are famous for, model-free, within the game, findingexploits and glitches. There’s also chess endgame databases as examples.
I’m not sure I agree that it’s a useful intuition pump for the ways an AGI can surprisingly-optimize things. They’re amusing, but fundamentally based on out-of-game knowledge about the structure of the game. Unless you’re positing a simulation hypothesis, AND that AGI somehow escapes the simulation, it’s not really analogous.
Evolutionary and DRL methods are famous for, model-free, within the game, finding exploits and glitches. There’s also chess endgame databases as examples.