tpkm

The training on user data only applies to free accounts - paid and Enterprise accounts guarantee data is not used for training. Plenty of Enterprises use the APIs directly - that's just plain misinformation

That's interesting - I just tried on my Ryzen 5 3600 and got the following:

10k using 48 processes: 0.82 seconds (using the original single threaded script this was actually faster at 0.65)

100k using 48 processes: 28.41s

200k using 48 processes: 99.68s

--- EDIT - looking at resource monitor python.exe is only using 7-8% of total available CPU resources

--- EDIT 2 - switching to ThreadPool from multiprocessing.dummy brought the 10k result down from 0.8 seconds to 0.3 seconds, but didn't impact the 100k or 200k results