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howunfortunate • yesterday at 6:05 PM • 5 replies • view on HN

I do agree with you, but I do think you're also making the classic "curse of knowledge" mistake.

You have to know the right words to ask the LLM to make and train a classifier. You and I already know the words. But they are not actually that trivial to learn for an average joe, and people are lazy.


Replies

flatline • yesterday at 7:21 PM

The tooling around LLMs is still nascent and, in my opinion, quite poor. You may be able to shotgun easily-falsifiable mathematical proofs with raw compute, but get into the messy world of real data, uncertainty quantification, and a host of other things that go into building real world models, and I think that an LLM plus tooling dedicated to the task plus a human in the loop will open up capabilities not available to an LLM in a chat or development centric software environment.

m11a • yesterday at 6:27 PM

I don't believe this is true with current frontier coding agents. Or at least, it's becoming increasingly less true, such that I think it will effectively be nullified in ~6 months.

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HPsquared • yesterday at 8:50 PM

LLMs are the perfect tool for "finding the right words". They are literally translation machines.

JackSlateur • yesterday at 6:07 PM

Just ask the LLM for these words, obviously !

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staticautomatic • yesterday at 6:12 PM

So what? The average joe shouldn't be trying to diagnose people with cancer.

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