More often than not, AI and LLM gets conflated in the public consciousness…and then gets mixed with “Agentic”, “SaaS” and other well…slop. So, here is a farmer in Japan, using a raspberry pi, to sort cucumbers.
https://www.newsweek.com/artificial-intelligence-cucumber-farm-raspberry-pi-495289
PS: 2016 article. I expect by now the tractor is self driving and named Betty.
If you have any other “dude does cool AI shit with a box of scraps in a cave”, I’m all EARS.md
I actually have a theory here…I think there’s a bare basement level that a model needs to be…anything above which, deterministic tooling can do the rest. We’ve just been yeeting into a black box.
Why that matters is this - if you can make a 450M model do what a 7B model does…that has a huge set of implications (see above examples), not least of which is for use GPU poors.
I’m doing some smoke testing on this idea right now for what I’m calling an ‘expert system’, where the model is treated like a squawk box and the infrastructure around it provides the brains (not RAG, per se. More like sidecars or tool calling). I’m liking what I see so far but there’s lots of fucking work to go. There may yet be a cheat code for some of the NVIDIA tax, if we take the work outside of the magic parrot :)