And the power of "language models" (or any sort of deep learning, really), does not come from assuming that some specific input-output modality, like English text, is the ultimate foundation of thought. Strong versions of this claim were laid to rest around the time when GPT-2 came out. I'd also go further and argue that many people working on the symbolic AI of yesteryear already understood this as well.

The point is that this is no more relevant, informative, or even accurate than "carbon-based facial expression predictors". Any phenomenon in the Universe can be described by a simple and/or insulting short phrase. In other comments you've also shouted out "autocomplete!" and "Markov chain!", as if these phrases are a knock-down argument.

"Pachinko machine", "avalanche", and "game of mad libs" has also been used:

https://news.ycombinator.com/item?id=47916405

>Humans learn through their experiences, not just backprop.

Sure, sure. And humans move through the act of walking, not just terrestrial locomotion.

>Token predictors are lesser, they are not alive and will never be alive.

And on and on it goes...

Which means what the real world? What are we supposed to see now or in the near-future? I assume you've been saying all of this stuff since at least the launch of ChatGPT. Probably longer than that.

>meaningless

>narcissistic

>wank

Cool insults. But my lying eyes and ears still say that AI knows me pretty well and is bringing plenty of value to my life.

Like him not getting his way? If you don't want to use AI, then don't. But I'll use it whenever I want, thank you very much.

Comments URL: https://news.ycombinator.com/item?id=48041364

Points: 2

# Comments: 0

You could go a step further, and simply say "well, ok, then the LLMs are merely doing some form of incremental/heuristic search!". Yes, but at that point you'd also be hard-pressed to claim that humans themselves are doing anything beyond that. You run out of naturalistic explanations.

I noticed. Shoo, troll.