Melanie Mitchell
A new term has been coined to describe AI in its current form: “jagged intelligence.” The term captures the fact that the landscape of AI capabilities is profoundly uneven: the tools demonstrate excellent abilities on certain problems but surprising failures on other similar problems. For humans, one kind of skill can often predict abilities at similar skills; this is not the case in the jagged landscape of AI. Last fall, Ilya Sutskever, a cofounder of OpenAI, argued that there are no easy fixes to this problem: “These models somehow just generalize dramatically worse than people. It’s a very fundamental thing.”
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Complexity Digest 