think the point is that they can't just "learn to do that", because to do so would mean solving human mind (that famously hasn't been going well)

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dpoloncsak 23 minutes ago | parent | next [-]

until Google trains an AI model off that data, too

	▲	timshell 8 minutes ago \| parent [-]
		I mean, their CAPTCHAs presumably have tons of data collected over the years, and they can't detect a pretty clear AI agent here: https://www.youtube.com/watch?v=UeTpCdUc4Ls

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sigbottle an hour ago | parent | prev [-]

Well no, the idea is a tradeoff between interfaces and telemetry.

OK, the agents don't click in the same way as humans. You learn that, what about mouse hovering telemetry, time spent, etc. And one of the most extreme is to force biometrics - a lot of telemetry, breaks the interface a lot - but hey, you have assurance.

And none of these tradeoffs require understanding the deep processes of the human mind. Just, map is not the territory, how you do game the map harder and harder and how do the mapmakers respond to that?

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catsrus an hour ago | parent [-]

did you look at the paper? they specifically look at mini tasks with cognitive processes (Eg what dictates the strategy of how people solve tasks)

	▲	CamperBob2 25 minutes ago \| parent [-]
		LLMs can solve original math problems at the IMO level and beyond, and you might be talking to one now. I don't think they are going to have problems with any CAPTCHA short of separate device attestation. Whatever mechanism the paper proposes, rest assured it can be trained on.