You’re making more assumptions. There’s no “scientific consensus” that he’s wrong, there are just opinions. Unlike the straw man examples you bring up, nobody has proven the claims you’re making. If they had, then the argument would go away like the others you mentioned.

Where did the argument change? Searle’s argument that you quoted is not arguing that we don’t have the algorithm yet. He’s arguing that the algorithm doesn’t run on electrical computers.

I’m not defending his argument, just pointing out that yours isn’t compelling because you don't seem to fully understand his, at least your restatement of it isn’t a good faith interpretation. Make his argument the strongest possible argument, and then show why it doesn’t work.

IMO modern LLMs don’t prove anything here. They don’t understand anything. LLMs aren’t evidence that computers can successfully think, they only prove that humans are prone to either anthropomorphic hyperbole, or to gullibility. That doesn’t mean computers can’t think, but I don’t think we’ve seen it yet, and I’m certainly not alone there.

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torginus 5 days ago | parent [-]

>most of the field of cognitive science thinks Searle is wrong.

>There’s no “scientific consensus” that he’s wrong, there are just opinions.

	▲	dahart 5 days ago \| parent [-]
		And? Are you imagining that these aren’t both true at the same time? If so, I’m happy to explain. Since nothing has been proven, there’s nothing “scientific”. And since there’s some disagreement, “consensus” has not been achieved yet. This is why your presumptive use of “scientific consensus” was not correct, and why the term “scientific consensus” is not the same thing as “most people think”. A split of 60/40 or 75/25 or even 90/10 counts as “most” but does not count as “consensus”. So I guess maybe be careful about assuming what something means, it seems like this thread was limited by several incorrect assumptions.