AI is an intelligence multiplier

A rising tide may lift all boats, but the AI tide lifts some boats much more than others.

By all accounts, the best programmers have had the biggest productivity boost from AI. And top tier mathematicians are using AI to settle long-standing mathematical conjectures. AI is a powerful tool, but tools don’t come to life and make things on their own.

I routinely have naive amateurs send me proofs of open conjectures, and naturally more recent such proofs involve AI. I’ll get an email saying something like “I’ve solved the Collatz conjecture using ChatGPT, but I’m not a mathematician so I need some help verifying the proof.” And of course the supposed proof is rubbish.

The recent Navier-Stokes proof is impressive, but AI didn’t initiate the proof any more than LaTeX did. Nor did a child steer AI into proving the conjecture. Professional mathematicians were able to use AI to pursue their ideas at superhuman speed. But someone without an understanding of the Navier-Stokes problem, and familiarity with recent ideas for approaching the problem, could not have directed AI to produce a proof.

Computer scientists have been saying “garbage in, garbage out” from the beginning. A variation on this aphorism for the age of AI would be “mediocrity in, mediocrity out.”

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