I confused by the dispatch model. Tool calls typically need some reasonability to be deterministic and, more importantly, predictable in response (o/w GIGO). Why would the thermostat need to interpret a voice command that the node capturing the voice command would not interpret instead?
replyThe node capturing the voice command could be the thermostat. From my understanding they are targeting very small devices.
replySo that could be a master home automation node, but why not also a single purpose device? I can think of more bad examples than I can good ones, but maybe I am doing some soldering and I need my soldering iron turned up a bit; my hands are full, so doing that by voice would be useful enough. Something I would never link up to a big AI model or home automation network, but could be useful to control by voice.
If it's something that can be burnt directly into a chip and shipped with the products for cheap, maybe that's a more pragmatic way to get AI into small devices (see taalas for a much bigger model doing that, althoug not yet cheap).
Oh I agree that's not unreasonable. I wonder about the harnessing heft required to make it feasible though. If I say I'd like it a bit warmer, a tool can deterministically bump a few degrees while an LLM might bump it 10C. So do we limit the tool's range?
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