Eine supersmarte KI, die dennoch ganz oft scheitert

Ethan Mollick, Professor für Management an der Wharton School der University of Pennsylvania (Substack)

“Back in the ancient AI days of 2023, my co-authors and I invented a term to describe the weird ability of AI to do some work incredibly well and other work incredibly badly in ways that didn’t map very well to our human intuition of the difficulty of the task. We called this the “Jagged Frontier” of AI ability, and it remains a key feature of AI and an endless source of confusion. How can an AI be superhuman at differential medical diagnosis or good at very hard math (yes, they are really good at math now, famously outside the frontier until recently) and yet still be bad at relatively simple visual puzzles or running a vending machine? The exact abilities of AI are often a mystery, so it is no wonder AI is harder to use than it seems. I think jaggedness is going to remain a big part of AIs going forward, but there is less certainty over what it means. (...) it might be that, because of this jaggedness, we get supersmart AIs which never quite fully overlap with human tasks.“