Overly optimistic🎈


[Rodney] Brooks thinks it’s impressive technology, but maybe not quite as capable as many are suggesting. “I’m not saying LLMs are not important, but we have to be careful [with] how we evaluate them,” he told TechCrunch.

He says the trouble with generative AI is that, while it’s perfectly capable of performing a certain set of tasks, it can’t do everything a human can, and humans tend to overestimate its capabilities. 

“When a human sees an AI system perform a task, they immediately generalize it to things that are similar and make an estimate of the competence of the AI system; not just the performance on that, but the competence around that,” Brooks said. “And they’re usually very over-optimistic, and that’s because they use a model of a person’s performance on a task.”

He added that the problem is that generative AI is not human or even human-like, and it’s flawed to try and assign human capabilities to it. He says people see it as so capable they even want to use it for applications that don’t make sense.

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