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
No? Just me then. How about this - 99% accurate COPD cough count…with a itty bitty convolutional model, on a $30 Adurino.
https://www.edgeimpulse.com/blog/ai-dont-like-the-sound-of-that-cough/
Why this might be cool. Different coughs correlate to different conditions (aka there is work going on in cough acoustics as a diagnostic signal / proxy for spirometry and breath sounds).
The above was trained on his coughs…it’s not far from there to “was that a healthy cough, wet cough, dry cough, wheeze? Is this a Blue Bloater or Pink Puffer?”
I’ve long suspected PoC (Point Of Care) systems could be adapted to use language models. Imagine - Qwen3.5-2B (with --mmproj) that lives on your phone…and you can point at mole or freckle and ask “hey…is this fucky or what” - and it actually KNOWS because it has access to DermNZ and can classify based on ABCDEs