Also, RTK is an interesting way to correct the signal to get sub-centimeter accuracy. Using the timing differences between satellites with a stationary unit and then sending the that to the rover is a cool workaround and can be used without expensive equipment now.
VRS RTK can even get 1cm RMS without needing a stationary unit. Just need atmospheric correction data for your approx location. Which has been amazing for outdoor mobile robotic applications.
They sell robotic lawn mowers with LIDAR and RTK GPS. LIDAR combined with RTK GPS is very neat because you can place every point in the point cloud on earth's surface.
I'd like to share my project that let's you hit Tab in order to get a list of possible methods/properties for your defined object, then actually choose a method or property to complete the object string in code.
This applies well enough with beef. You still want to maximize pasture rotation and quick moves improve feed quality and speeds recovery between grazing.
Source: have 320 Angus/Simmental pairs. Working on an opensource cow collar (agopencollar.com)
Oh, that's been a thing for a couple years now. Going in and fixing vibecoded projects, especially shit produced in the early goldrush, seems to be a burgeoning industry. Funny thing is, the fixer is probably vibe coding, just with better models. Which might be perfectly cromulent depending on how good they are at whipping that mule team.
Funny enough I was processing some handwritten tables into excel with Sonnet. It did way better than I thought it would, I'd say like 95%.
I did have it put confidence indexes next to the output per line, and that was pretty useless, they were either really high or really low, and the confidence didn't match the mistakes at all.
IMHO LLMs cannot provide statistically confident measures, and they are terrible at pretending to be capable of doing so.
What worked: You use an OCR that provides character/word-level bounding boxes and let the LLM extract from data. Then the LLM is capable of "calculating" a confidence of extracted data.
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