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joe_the_useryesterday at 9:51 PM2 repliesview on HN

I don't think it's solely a matter of raw strength, but as Shin said, a willingness not to play to the program's strengths. I mean, one thing that rankled me about original Lee Sedol match was that Lee had no access to the program's "record" while the machine by the nature of the AI training process had effectively studied Lee's games in great detail.

I recall a while back someone came up with a set of "anti-computer" strategies that allowed even an amateur to defeat a strong go program. These moves weren't anything like ordinary go moves (and perhaps the "loophole" has been closed now) but imo, their existence suggests that a study of programs may reveal other unexpected weakness.


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rao-vtoday at 3:41 AM

In a march 2026 interview David Wu (lightvector, Katago’s creator at Jane Street) noted that he doesn’t have a systematic solution for the cyclic group problem, but adding examples to the training set mostly ensures Katago during MCT rollout figures it out. I don’t think there has been a post mid 2024 verified exploit.

https://gomagic.org/david-wu-on-building-katago/

Ntrailsyesterday at 10:54 PM

I saw the same things when the OpenAI Dota bots could eviscerate humans 1v1 - even pros lost!

Until a more average player confuses the AI with an unseen behaviour (pulling creeps between the towers etc) to get an advantage.

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