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Chomsky on what ChatGPT is good for (2023)

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Re: Chomsky on what ChatGPT is good for (2023)

#24
> It’s as if a biologist were to say: “I have a great new theory of organisms. It lists many that exist and many that can’t possibly exist, and I can tell you nothing about the distinction.”

> Again, we’d laugh. Or should.

Should we? This reminds me acutely of imaginary numbers. They are a great theory of numbers that can list many numbers that do 'exist' and many that can't possibly 'exist'. And we did laugh when imaginary numbers were first introduced - the name itself was intended as a derogatory term for the concept. But who's laughing now?

Re: Chomsky on what ChatGPT is good for (2023)

#25

I recently saw a new LLM that was fooled by "20 pounds of bricks vs 20 feathers". These are not reasoning machines.

I recently had a computer tell me that 0.1 + 0.2 != 0.3. It must not be a math capable machine.

Perhaps it is more important to know the limitations of tools rather than dismiss their utility entirely due to the existence of limitations.

Re: Chomsky on what ChatGPT is good for (2023)

#26
Insect behaviour. Flight of birds. Turtle navigation. A footballer crossing the field to intercept a football.

This is what Chomsky always wanted ai to be... especially language ai. Clever solutions to complex problems. Simple once you know how they work. Elegant.

I sympathize. I'm a curious human. We like elegant, simple revelations that reveal how out complex world is really simple once you know it's secrets. This aesthetic has also been productive.

And yet... maybe some things are complicated. Maybe LLMs do teach us something about language... that language is complicated.

So sure. You can certainly critique "ai blogosphere" for exuberance and big speculative claims. That part is true. Otoh... linguistics is one of the areas that ai based research may turn up some new insights.

Overall... what wins is what is most productive.

Re: Chomsky on what ChatGPT is good for (2023)

#27

Chomsky is always saying that LLMs and such can only imitate, not understand language. But I wonder if there is a degree of sophistication at which he would concede these machines exceed "imitation". If his point is that LLMs arrive at language in a way different than humans... great. But I'm not sure how he can argue that some kind of extremely sophisticated understanding of natural language is not embedded in these…

I think what would "convince" Chomsky is more akin to the explainability research currently in it's infancy, producing something akin to a branch of information theory for language and thought.

Chomsky talks about how the current approach can't tell you about what humans are doing, only approximate it; the example he has given in the past is taking thousands of hours of footage of falling leaves and then training a model to make new leaf falling footage versus producing a model of gravity, gas mechanics for the air currents, and air resistance model of leaves. The later representation is distilled down into something that tells you about what is happening at the end of some scientific inquiry, and the former is a opaque simulation for engineering purposes if all you wanted was more leaf falling footage.

So I interpret Chomsky as meaning "Look, these things can be great for an engineering purpose but I am unsatisfied in them for scientific research because they do not explain language to me" and mostly pushing back against people implying that the field he dedicated much of his life to is obsolete because it isn't being used for engineering new systems anymore, which was never his goal.

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