Chinese board game Go has become a popular testing ground for AI because of its simple rules — two players and two colors of stones — and the profound complexity that the simple rules lead to. For…
I play Go, and have since I learnt about the game when it was discussed in my Computer Science degree course (then computers were considered 50+ years away from beating humans).
Overall, AlphaGo has been a good thing for human players, with it validating a lot of what we thought was right, but also that some tactics we’d thought not worth playing do work out. Having a superhuman, free advisor has made improving much easier.
The negatives include that there’s less individual style amongst those that play like AIs, and also that it’s easier to cheat at the game.
As in chess, humans have been outclassed by computers in Go for years now, but that doesn’t stop us playing and enjoying it.
You’re arguing against a point I’m not making.
I play Go, and have since I learnt about the game when it was discussed in my Computer Science degree course (then computers were considered 50+ years away from beating humans).
Overall, AlphaGo has been a good thing for human players, with it validating a lot of what we thought was right, but also that some tactics we’d thought not worth playing do work out. Having a superhuman, free advisor has made improving much easier.
The negatives include that there’s less individual style amongst those that play like AIs, and also that it’s easier to cheat at the game.
As in chess, humans have been outclassed by computers in Go for years now, but that doesn’t stop us playing and enjoying it.
this is not debate club, and that sound you didn’t hear on account of your noise-cancelling headphones was you missing your stop