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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Ntrails 4 hours ago | parent [-]

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.

	▲	arcticfox 6 minutes ago \| parent [-]
		We saw this with AlphaStar too, but ultimately it feels like simply an exploit. I expect even a relatively simple modern LLM/model working with the custom transformer would have been able to address these exploits after a game.