• @AllonzeeLV
    link
    26
    edit-2
    8 months ago

    I think it’s neat that it was supposedly the hardest board game to get AI to understand and play effectively.

    • Maven (famous)OP
      link
      258 months ago

      It wasn’t until 2015 that the top Go player lost to an Ai while chess lost in 1997. It’s wild how big that gap is when you think about how much tech had to improve to make it possible.

      • @AllonzeeLV
        link
        88 months ago

        It’s an order of magnitude more complex than Chess, which I am just ok at, so kudos!

      • Lev_Astov
        link
        38 months ago

        And didn’t people still find holes in the Go AI’s algorithm and proceed to dunk on it afterward?

        • @[email protected]
          link
          fedilink
          38 months ago

          Iirc someone figured out that if you didn’t make it obvious that you were encircling the AI, it wouldn’t take any preventative measures.

        • lad
          link
          fedilink
          18 months ago

          It’s a bit complicated to understand what an “algorithm” is in case of a neural network. Besides, I haven’t heard of recent human wins over an AI in Go, can you point me to read about it?

      • idunnololz
        link
        2
        edit-2
        8 months ago

        This is actually more impressive about AI. People used to think Go AI wouldn’t be able to beat a human player until like 2050. I certainly thought that when I learned it in like 2010. Back then the strongest AI was like 1 Dan (amateur) at most. (9 Dan is the highest rank and professional 9 Dan which you need to play professional games to get to are much stronger than an amateur 9 Dan which is like 9 Dan from an online website. Also the games rankings go from 30 kyu which is the lowest rank to 1 kyu which is the highest “amateur ranking”. After 1 kyu is the Dan ranks ranging from 1 to 9)