4 ms·
Amazing results, though I am somewhat frightened by how generic this model is and how it achieved such amazing results. I can't help but think that these same t
by hetspookjee 9y ago
Amazing results, though I am somewhat frightened by how generic this model is and how it achieved such amazing results. I can't help but think that these same techniques can be used to learn how humans react in certain situaties and how they can be, very subtely, be worked to think in a certain way - one that fits the agenda of whatever party is behind it.
With the mass surveillance that is Google it's quite doable to test for human reactions on certain things. They got the tools to execute a certain plan and evaluate the effectiveness. Ofcourse it can also go in a benelovent way: like what kind of policy will benefit the most people? (semantics of 'benefiting' aside)
I atleast certainly hope these kinds of generic algorithms will be used to generate effective, meaningful policies that truly help the people. Still a far away future but one that gets closer by the day.
- SubiculumCode 9y agoI'd only worry if it can outperform humans when there are not rules per se. That is, if I put a queen down in the GO board, and start knocking off stones, moving three times a turn, then take a lighter and burn the go board, the AI responds by decapitating my head.
- goatlover 9y agoHa! I do wonder about using a board game where the rules periodically change in simple ways at random. A human could easily adapt to the rule changes while playing and adjust their strategy accordingly. Would a Deep Learning algorithm be able to do this? If we keep the board and pieces digital, then the board could change shape, the pieces could change color indicating a random association with a rule change, and what not.