The Go AI was trained by feeding it a huge number of Go games. It built a model based on w̶h̶a̶t̶ ̶h̶u̶m̶a̶n̶s̶ ̶d̶o̶. CORRECTION: KataGo is trained by playing against itself; the model input is “past AI games.”

The human beat it by doing something so obvious a human or sensible AI would never do it — so it wasn’t in the training data, so the AI didn't counter it.

(Basically, the human forms a conspicuous giant capture ring while distracting the AI with tactical battles the AI knows how to counter.)

#ai
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Why is this interesting?

The recent eye-popping advances in AI have come from models that scan huge datasets, either generated by humans (e.g. “all competitive Go games” or “all the text we could find on the web”) or by computer (“the AI plays itself a billion times”), and imitating the patterns in that dataset — with no underlying model of meaning, no experience to check against, no underlying theory formation, just parroting.
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These systems produce such striking results, it raises the question of whether our brains are any different. Are we also just fancy pattern mimics?

Would an LLM gain human-like intelligence if only we had more processing power?

This result suggests that no, there’s something else our brains do. The tactic the AI missed would be painfully obvious to a human player. There’s still something our brains do — theorizing, generalizing, reasoning through the unfamiliar — that these AIs don’t.
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As usual on Ars, there are actually some good comments.

This person wisely reminds us that AI has been littered with bold predictions that human-like AI is just around the corner — and every time, we realized that we’d failed to understand what the hard part even was. The Marvin Minsky quote here is eye-popping:
https://arstechnica.com/information-technology/2023/02/man-beats-machine-at-go-in-human-victory-over-ai/?comments=1&post=41644794
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But does this matter? Sure, the AI did a faceplant on some bizarro strategy that would never fool a competent human. So what? It’s just a board game.

OK, what if it’s a self-driving car?

Have you ever encountered a traffic situation that was just totally bizarre, but had a common-sense solution like “wait” or “just go around?” What would an AI do in that situation?

Think of the reports of self-driving Teslas suddenly swerving or accelerating straight into an obvious crash.
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Or as this comment remarks: what if it’s an autonomous killbot? (arguably a superset of the previous item, I know) https://arstechnica.com/information-technology/2023/02/man-beats-machine-at-go-in-human-victory-over-ai/?comments=1&post=41644720

Several comments point out the parallels to the recent story about Marines defeating an AI with Jim-Carrey-style nonsense antics that bore no relationship to the training data: https://arstechnica.com/information-technology/2023/02/man-beats-machine-at-go-in-human-victory-over-ai/?comments=1&post=41644757

The linked article: https://taskandpurpose.com/news/marines-ai-paul-scharre/
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This is probably what’s going on with the hilarious ChatGPT faceplants making the rounds on social media.

People try to fool GPT with esoteric questions, but those are easy for it: if anybody anywhere on the web already answered the question, no problem — and making it esoteric just narrows the search space.

But give it a three-digit addition problem, and there’s no single specific example to match. And GPT can’t turn all those examples into a generalized theory of how to do addition.
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