I am particularly curious how multimodal models will work with types of knowledge that are inherently non-text. For example, SOTA LLMs really suck at electronics, especially analog electronics.

Is MiniMax H3 capable of logical / technical reasoning, or is it purely art oriented?

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jononor 6 hours ago | parent | next [-]

Suck at what aspect of (analog) electronics specifically? Not contradicting the claim, just want to understand it.

I have not tested yet, but I suspect that LLMs with a harness that can execute code can do SPICE simulations rather ok these days? I have seen MCPs for measurement equipment also, maybe they can even close the physical loop?

	▲	ddevnyc 3 hours ago \| parent [-]
		spice is a very bad simulation. it's not like a unit test or a VM. it works very differently to the real thing, only approximating it in some highly controlled situations.

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embedding-shape 6 hours ago | parent | prev | next [-]

> 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.

	▲	ddevnyc 3 hours ago \| parent [-]
		> 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.

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chpatrick 6 hours ago | parent | prev | next [-]

I've had great results on electronics with Claude and Gemini.

	▲	ddevnyc 3 hours ago \| parent [-]
		what sorts of things have you designed with it?

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echelon 6 hours ago | parent | prev [-]

They can be used to create synthetic training data for robotics. It's not the best approach, though.

	▲	ddevnyc 3 hours ago \| parent [-]
		i bet they're good for it. however robotics aren't electronics. that's a completely different space.