Earlier quoted context omitted.
I am still thinking how I'll pull this off. But basically it is collect tons of Telemetry converted to in ascii/text. Telemetry in sense sensor streams, both command and responses. Then we'll just train a small model for long enough. Then we will see how it would respond. That's the plan sort of.
In this case, I would ask the LLM to suggest an algorithm to minimize acceleration, jerk and snap based on the expected sensor input data, and then just implement that. Probably in memory on whatever runs the board. Straightforward control problem of bringing the board from 5-0kmh smoothly?
Let's see.