Some updates on Computer/Human interaction from a Go AI author. Opinions are my own. In the Go world, the relationship between computer and human has turned in

Some updates on Computer/Human interaction from a Go AI author. Opinions are my own. In the Go world, the relationship between computer and human has turned into one of analysis. Every pro in Asia has a powerful GPU-equipped system with LeelaZero or KataGo or Minigo installed, and they use it to study openings and analyze their matches. LZ/MG are similar in that they're from the AlphaGoZero generation of bots, and thus are hardcoded to 7.5 komi and don't play well with handicap stones. KataGo is the open-source project with the newest ideas, using (among other things) territory ownership prediction, allowing it to handle arbitrary komi and handicap. Many pros are switching to it for this reason. All TV broadcast channels use AI for both winrate prediction and variation analysis. They'll report the predicted winrates by all major bots. There are definitely AI-inspired opening sequences, but I would say that by and large, pro play has stabilized to just be better. A few years ago, pros would just mimic AlphaGo just to see what would happen, but there's becoming a better appreciation for the many different opening styles that are becoming possible, now that we have AI to analyze them. The strongest pros are the ones who spend the most time on their computers. Despite a few extra years of research, all available AI systems still fail at ladders regularly. Some may have had ladder routines hardcoded in, but these routines still fail at loose ladders and the many wonderful ladder variants out there. In the online Go world, cheating has become rampant. Top echelon of games/accounts are essentially just people competing on how beefy their GPUs are, and human professionals complain that they can't actually get a game against another person nowadays. Professional tournaments / pro qualifying exams have had isolated incidents of cheating which are usually fairly obvious, as human playstyle is still recognizably different from computer playstyle.