They have to have decision models already in production. Part of their business is detecting bots, DDoSers and spammers.

Yeah that's a decision tree, random Forest or some other machine learning classifier. They have existed for a long time

I'm all for rebranding discriminative models as decision models, though.

"Discriminative" always had pointlessly bad optics, but I knew it was over when I started seeing prominent machine learning researchers who p=100% knew better describe discriminative models as generative because that was the buzzword of the year. "Decision model" sells the value proposition much better and doesn't sound like an anti-woke crusade.

Decision models have long been called `choice` models to may understanding. Huge statistical literature on dynamic discrete choice models and inference!

I think you just called me old.

I like reduce in principle since it generalizes a simple concept pretty nicely. I don't use it that much in practice since its alternatives just require less brainpower. It competes against using local mutable state with a loop or iterator combinator which I would argue are easier to wrap your head around (i.e. loop with variable/map with closure). I would argue its one of those cases where something is just harder to do/understand in functional vs imperative programming.