Yeah, fake or not, you can definitely use ML to optimize user acquisition, to find ways to increase per user spending, to find the people most likely become spe

Yeah, fake or not, you can definitely use ML to optimize user acquisition, to find ways to increase per user spending, to find the people most likely become spending users, to cause addiction, etc, to break people's lives. All of these things are numerical metrics that are reasonably easy to optimize for (nothing like, complicated things like generating context appropriate speech, for which it is really hard to find an accurate metric for), and you just need to give the model as much data from as many good features as possible, and it'll end up spitting out something that works for sure