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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)

#101
post #66

Earlier quoted context omitted.

I have experienced this too. It's definitely part of the religion but I'm not sure why tbh. Maybe they equate it with like tech is bad mkay, which, looking at who leads a lot of the tech companies, is somewhat understandable, altho very myopic.

I see this as much more of a hackers vs. corporations ideological split. Which imperfectly maps to leftism vs conservatism. The perception on the left is that once again, corporations are foisting products on us that nobody wants, with no concern for safety, privacy, or respect for creators. For better or worse, the age of garage-tech is mostly dead and Tech has become synonymous with corporatism. This is especially…

> I see this as much more of a hackers vs. corporations ideological split.

That framing may be true within tech circles, not the broader political divide. "Hackers" aren't collectively discounting and ignoring AI tools regardless of their enthusiasm for open-source.

Safety-ism is also most popular among those see useful potential in AI, and a generous enough timeline for AGI.

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

#102
post #63
post #46

All this interview proves is that Chomsky has fallen far, far behind how AI systems work today and is retreating to scoff at all the progress machine learning has achieved. Machine learning has given rise to AI now. It can't explain itself from principles or its architecture. But you couldn't explain your brain from principles or its architecture, you'd need all of neuroscience to do it. Because the brain is digital…

> [...] I can't help but feel it's an a really old take [...] To be fair the article is from two years ago, which when talking about LLMs in this age arguably does count as "old", maybe even "really old".

I think GPT-2 (2019) was already strong enough argument for possibility of modeling knowledge and language that Chomsky rejected.

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

#103
post #76
post #46

All this interview proves is that Chomsky has fallen far, far behind how AI systems work today and is retreating to scoff at all the progress machine learning has achieved. Machine learning has given rise to AI now. It can't explain itself from principles or its architecture. But you couldn't explain your brain from principles or its architecture, you'd need all of neuroscience to do it. Because the brain is digital…

> But you couldn't explain your brain from principles or its architecture, you'd need all of neuroscience to do it That's not a good argument. Neuroscience was constructed by (other) brains. The brain is trying to explain itself. > The truth is that all of the progress on machine learning is absolutely science. But not much if you're interested in finding out how our brain works, or how language works. One of the int…

> but others have been pretty much fawning…

This is not relevant. An observer who deceives for purposes of “balancing” other perceived deceptions is as untrustworthy and objectionable as one who deceives for other reasons.

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

#104

"The desert ants in my backyard have minuscule brains, but far exceed human navigational capacities, in principle, not just performance. There is no Great Chain of Being with humans at the top." This quote brought to mind the very different technological development path of the spider species in Adrian Tchaikovsky's Children of Time. They used pheromones to 'program' a race of ants to do computation.

I don't know what he's talking about. Humans clearly outperform ants in navigation. Especially if you allow arbitrary markings on the terrain.

Sounds like "ineffable nature" mumbo-jumbo.

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

#105

"Expert in (now-)ancient arts draws strange conclusion using questionable logic" is the most generous description I can muster. Quoting Chomsky: > These considerations bring up a minor problem with the current LLM enthusiasm: its total absurdity, as in the hypothetical cases where we recognize it at once. But there are much more serious problems than absurdity. > One is that the LLM systems are designed in such a way…

> LLMs do surface real linguistic structure... It's completely irrelevant because the point he's making is that LLMs operate differently from human languages as evidenced by the fact that they can learn language structures that humans cannot learn. Put another way, I'm sure you can point out an infinitude of similarities between human language faculty and LLMs but it's the critical differences that make LLMs not usef…

Is that true? This paper claims it is not.

https://arxiv.org/abs/2401.06416

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

#106

I confess my opinion of Noam Chomsky dropped a lot from reading this interview. The way he set up a "Tom Jones" strawman and kept dismissing positions using language like "we'd laugh", "total absurdity", etc. was really disappointing. I always assumed that academics were only like that on reddit, and in real life they actually made a serious effort at rigorous argument, avoiding logical fallacies and the like. Yet he…

"Tom Jones" isn't a strawman, Chomsky is addressing an actual argument in a published paper from Steven Piantadosi. He's using a pseudonym to be polite and not call him out by name. > instead of even attempting to summarize the arguments for his position.. He makes a very clear, simple argument, accessible to any layperson who can read. If you are studying insects what you are interested in is how insects do it not w…

That's understandable but irrelevant. Only a few people have major interest in how humans think exactly. But nearly everyone is hang on the question if the LLMs could think better.

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

#108
post #34

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

20 feathers?

Yes, Claude 4 Sonnet just said they both weight 20 pounds. UPD. and so did Gemini 2.5 Flash. And MS Copilot in "Think deeper" mode.

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

#109
post #63

Earlier quoted context omitted.

> [...] I can't help but feel it's an a really old take [...] To be fair the article is from two years ago, which when talking about LLMs in this age arguably does count as "old", maybe even "really old".

I think GPT-2 (2019) was already strong enough argument for possibility of modeling knowledge and language that Chomsky rejected.

Though given that LLMs fundamentally can't know whether they know something or not (without a later pass of fine-tuning on what they should know) is a pretty good argument against them being good knowledge bases.

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

#110

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

But are you aware of the weight comparison of a gallon of water vs a gallon of butane ?

No im not. A gallon is a measure of volume? This is a USA unit.
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