Fact checking Moravec’s paradox | AI as Normal Technology
Fact checking Moravec’s paradox – by Arvind Narayanan
Historically, AI researchers’ predictions about progress in AI abilities have been pretty bad. We don’t really have principles that describe which kinds of tasks are easy for AI and which ones are hard.
Well, we have one — Moravec’s paradox. It refers to the observation that it’s easy to train computers to do things that people find hard, like math and logic, and hard to train them to do things that we find easy, like seeing the world or walking. ,,,
And
If Moravec’s paradox is true, the implications would be amazing. If we want to know which AI capabilities might be built next, we just have to see how hard they are for humans. So scientific research will get automated before folding clothes, and so on.
But here’s the thing — Moravec’s paradox has never been fact checked. And that’s despite videos with hundreds of thousands of views, and TED talks all repeating it as a fact. When I dug into the evidence behind the so-called paradox, I found something surprising.
Worth reading, helps look at AI realistically.
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