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I agree that the hardware being used right now is not well suited. I don't agree that it's strictly necessary to use the right hardware -- there's just less tedious waiting involved for the computation to happen if you've got better hardware. Real-time interaction is the boundary where you need to have good enough hardware. For everything else you just have to be patient enough -- sometimes absurdly so, but you could, in principle, still perform the computation.
There are people already baking LLMs into custom hardware -- e.g. https://chatjimmy.ai/
Their demo page isn't the best LLM I've seen (Qwen and Gemma are much more clever and more likely to give decent results) but this is a taste of what's possible... It gives responses at ~17000 tokens a second today.
If I could get answers back from the best Qwen model I've got at that speed, I could just retry every query three times, feed it through another pass to self-assess the results, and then reply before you can blink. That would get rid of a lot of the "confidently claims knowledge about a made up subject" issue we currently see -- we can do the same thing on CPUs/GPUs but you're stuck waiting so long for the result that most people don't bother.