I wonder: could we as a society just run LLM-accellerated scientific programs for new battery/solar designs, CRISPR-like enzymes, cancer cures - the stuff where outcomes really matter - while also maintaining a humans-only sandbox for these people to experience the joys of the life of the mind in?
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it would also not be unfair to note that her arguments are very bad, and that she has every reason to know that they’re very bad, but she uses them anyway.
My favorite parts of Bender & Koller (2020), in which they defend their claim — that LLMs can’t learn meaning — by explaining that it should not be expected to apply to actual LLM training processes.
Unlike you, I'm not really interested in argument about whether LLMs have qualia or are able to "know" or "reason" (The answers I will give are no, yes and so can a library, and they use a process that isn't really like human reasoning as we conceive it but is similar from a certain perspective.)
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It can in fact do that. And if you tell Bender this she will, in transparent bad faith, start to argue with you about semantics of just dismiss you as insane because any actual task where an LLM is demonstrably useful is proof that whether or not her assertion is true is definitively not meaningful.
There’s a running philosophical “mimicry” argument that if the thing is programmed, or even if trained from assembled materials, its domain is limited to that vision. It doesn’t even consider usefulness 🤷♂️ Even so, models can reason by analogy outside their training set, but no one has updated that