4 ms·
Only way to have hardware reach this sort of efficiency is to embed the model in hardware. This exists[0], but the chip in question is physically large and won
by Tade0 7mo ago
Only way to have hardware reach this sort of efficiency is to embed the model in hardware.
This exists[0], but the chip in question is physically large and won't fit on a phone.
[0] https://www.anuragk.com/blog/posts/Taalas.html https://www.anuragk.com/blog/posts/Taalas.html
- intrasight 7mo agoI think for many reasons this will become the dominant paradigm for end user devices. Moore's law will shrink it to 8mm soon. I think it'll be like a microSD card you plug in. Or we develop a new silicon process that can mimic synaptic weights in biology. Synapses have plasticity.
- bigyabai 7mo agoOne big bottleneck is SRAM cost. Even an 8b model would probably end up being hundreds of dollars to run locally on that kind of hardware. Especially unpalatable if the model quality keeps advancing year-by-year. > Or we develop a new silicon process that can mimic synaptic weights in biology. Synapses have plasticity. It's amazing to me that people consider this to be more realistic than FAANG collaborating on a CUDA-killer. I guess Nvidia really does deserve their valuation.
- intrasight 7mo ago> bottleneck is SRAM cost Not for this approach
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- tclancy 7mo agoI think you're ignoring the inevitable march of progress. Phones will get big enough to hold it soon.
- RALaBarge 7mo agoI think the future is the model becoming lighter not the hardware becoming heavier
- tren_hard 7mo agoInstead of slapping on an extra battery pack, it will be an onboard llm model. Could have lifecycles just like phones. Getting bigger (foldable) phones, without losing battery life, and running useable models in the same form-factor is a pretty big ask.
- ottah 7mo agoThat's actually pretty cool, but I'd hate to freeze a models weights into silicon without having an incredibly specific and broad usecase.
- deleted 7mo ago[deleted]
- patapong 7mo agoDepends on cost IMO - if I could buy a Kimi K2.5 chip for a couple of hundred dollars today I would probably do it.
- whatever1 7mo agoI mean if it was small enough to fit in an iPhone why not? Every year you would fabricate the new chip with the best model. They do it already with the camera pipeline chips.
- superxpro12 7mo agoSounds like just the sort of thing FGPA's were made for. The $$$ would probably make my eyes bleed tho.
- ankaz 7mo ago[dead]