We have a bad universal classifier now (via Jev). 0->1, one might say.
A bad universal classifier does suggest a good one later. And that is exactly what I would call "theoretically doable"
That said, I don't think that Jev is a magic breakthrough or anything. I think it is just a particularly good narrative with an easy way to try it out.
LLMs are like lossy compression of ~all of written text ever produced, with useful recall. To the extent that the corpus contains labelled examples of the given classification task, it's not unreasonable to think that we'll be able to build a decoder for that, just like we already have a useful decoder for next-token prediction. Extend to image classification the same way we already have multimodal LLMs.
any instances of this in the wild? it seems like fridges are pretty cheap anyway and ones with smart features are more expensive? i don't think this a tv-like scenario.
They now require login for old.reddit.com. You can remove the subdomain and access the modern JS laden slop without an account unless they deem it 'Adult Content'
you can't in imagine the same way you couldn't imagine generating the text from your initial prompt. when will the hubris end?
some variant of "oh i am capable of generating text i know nothing about, but it helps to have a human i can rely on to tell me more about the text i know nothing about."
pick up a bachelors degree worth of books to humble yourself
Yeah, if IDE's allowed code folding of comments then the authors original problem (having to scroll past comments they thought weren't useful) wouldn't be that big a deal.
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