[ergothus]

> the training data needs to be a fictional, idealized set, and not based on real world data that already has bias slants built in

Thatd be great, but in this case (as in most ML cases) the idea is not "follow this known, tedious process" but instead "we have inputs and results but dont know the rules that connect them, can you figure out the rules?"

> this is what my company looks like

In tech hiring, no one wants the team they have...they want more people but without regrets (including regretting the cost)