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We’re not surprised if you haven’t been following the recent developments in AI all that closely because, for the most part, it’s seemed like nothing exciting has happened for quite a long time. Sci-fi dreams about computer powered best friends aside, AI for the general public has come to mean reasonably responsive and well-programmed computer assistance rather than independent thinking machines. Concepts like ‘smart’ chatbots somehow seem to pull us further from the Star Trek or Heinlinian dream of fully sentient and intuitive computers while many products and services that claim to integrate AI seem to be nothing more than a fast way to analyze large amounts of data.
In fact, the last time most of us heard something hopeful about AI was when Deep Blue beat the world Chess champion, but what ever came of that AI? Surely it hasn’t used that incredible logical power to take over the world or begin making friends, so what do we even care?
While practical applications for specifically built AI are growing, the tradition of training your AI programming skills on classic strategy games has existed since the 1950s when a computer was programmed to play and was able to win a game of tic-tac-toe. Since then a large variety of games and custom-built AIs have been tested against each other to the great entertainment of experts in the field and curious nerds like us who care about that sort of thing. The real difference is not what they’re programmed for but how they are programmed to start with and, in fact, this is also what most profoundly distinguishes AlphaGo from its older-generation relative, the Chess champion DeepBlue.
(Source: https://medium.com)
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