> and focus instead on the 5-10% of the application that’s hyper specific to your industry / vehicle / customer. Just like our friends in SaaS.
Ah so the thing that actually takes 90-95% of the time? "Twillo" is no good to me if I dont integrate it properly.
I struggle to see what you've built here other than gym[0] with a largely useless API (Come on, ML training doesn't suck because of lack of HTTP API's), sure its hyper focused on automating vehicle but thats something that's existed for a while - atleast for drones [1].
Shoving sensors on random devices doesn't work that easy, you know that - I dont need a PHD to tell you that. Farmers likely aren't building prod grade ML data sets (except those SWE who gave up FAANG after making $BANK)
What's the real value prop? Why shouldn't I remake the environment in Gym and just cut you out? Gym doesn't require reams of code for environments, same as you.
Ah so the thing that actually takes 90-95% of the time? "Twillo" is no good to me if I dont integrate it properly.
I struggle to see what you've built here other than gym[0] with a largely useless API (Come on, ML training doesn't suck because of lack of HTTP API's), sure its hyper focused on automating vehicle but thats something that's existed for a while - atleast for drones [1].
Shoving sensors on random devices doesn't work that easy, you know that - I dont need a PHD to tell you that. Farmers likely aren't building prod grade ML data sets (except those SWE who gave up FAANG after making $BANK)
What's the real value prop? Why shouldn't I remake the environment in Gym and just cut you out? Gym doesn't require reams of code for environments, same as you.
[0] https://www.gymlibrary.ml [1] https://microsoft.github.io/AirSim/ (2017)