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> work with types of knowledge that are inherently non-text

What are those things exactly? AFAIK, everything we can "know" can be written down, one way or another, even analog circuits.

Also, what SOTA LLMs are you referring to? GPTs been handling analog circuits fine for quite some time, I want to say for at least one year? I've been "pair programming" a bunch of working circuits with GPT models since probably GPT 5 or so.

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> AFAIK, everything we can "know" can be written down, one way or another, even analog circuits.

writing down circuit diagrams is like cooking about music.

> what SOTA LLMs are you referring to?

I have done a survey among analog electronics designers just a couple weeks ago and they all said that their forays into LLMs were great for digital electronics, code, and firmware, but for analog they were pretty terrible, with a variety of LLMs, according to everyone.

> everything we can "know" can be written down

Do you know how to ride a bike?

ahhhh, that's such a great example

I think that's different though, that's "doing" rather than just "knowing". You can ride a bike without knowing how it works, and obviously vice-versa too. I don't see circuit diagrams as "doing" though, but the soldering part of building circuits definitely is that way though, you can't just read about it and excel first time you pick up an iron, you have to practice and understand it with your body, like bicycling.

> that's "doing" rather than just "knowing"

Yet I know it even when I am not doing it.

I bet you have dozens of skills you cannot represent in words.

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