| ▲ | Hello9999901 3 hours ago | ||||||||||||||||||||||
This would be a very interesting future. I can imagine Gemma 5 Mini running locally on hardware, or a hard-coded "AI core" like an ALU or media processor that supports particular encoding mechanisms like H.264, AV1, etc. Other than the obvious costs (but Taalas seems to be bringing back the structured ASIC era so costs shouldn't be that low [1]), I'm curious why this isn't getting much attention from larger companies. Of course, this wouldn't be useful for training models but as the models further improve, I can totally see this inside fully local + ultrafast + ultra efficient processors. | |||||||||||||||||||||||
| ▲ | roncesvalles 2 hours ago | parent [-] | ||||||||||||||||||||||
Well even programmable ASICs like Cerebras and Groq give many-multiples speedup over GPUs and the market has hardly reacted at all. | |||||||||||||||||||||||
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