Knowing r/StableDiffusion this will run on a Raspberry Pico's PIO core in real-time by end of this week.

I was kind of hoping to induce that too! But sadly, no one has come to our rescue yet.

Runpod waiting for you

Depends on what weights, I landed on:

    diffusion model: minimax_h3_fl2va_bf16.safetensors
    text encoder: qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors
    video VAE: minimax_h3_video_vae_fp16.safetensors
    audio VAE: minimax_h3_audio_vae_fp32.safetensors

Ends up at ~83GB, but they also shipped bunch of pruned + quantized versions of the diffusion model, might fit with a 5090: https://huggingface.co/Comfy-Org/MiniMax-H3

It depends on how you hold it.

If you have accurate device models, and you know how to use simulations, you can predict quite well the behavior of the analog circuits that you design.

Simulations that work like the real thing are an absolute necessity in the industry. It is frequent to design the analog parts of some integrated circuit, when you might have to wait months to get prototype samples that you can measure in the laboratory.

If the prototypes do not work exactly as expected, you will probably have the chance to make once a correction of the schematics and/or layout, which will be incorporated in the final product.

But when not even the second try does not work as designed, that is likely to be a failure, because any other redesign would add months and many millions of $ until the product can reach the market.

So "spice" simulations that can be trusted are a necessity. When designing integrated circuits you cannot use empirical methods that work when you make manually a single-use board, where you can replace components or adjust resistors, capacitors or inductors until you get what you want. For integrated circuits, you must know in advance how the circuit will work, because you cannot tweak it.

It is true however that it is easy to configure simulations that will give non-sense results, due to lack of convergence or other numerical errors, so to avoid this, one typically needs both experience with laboratory measurements and experience in using the simulator.

I doubt that an LLM would successfully run SPICE simulations, because there are few examples of written instructions of how to do this in the right way (which varies depending on the domain of applications, and each SPICE-like simulator may have its own quirks).

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.

ahhhh, that's such a great example

Reverse-engineering my house's intercom system.