NEAT just uses GA to generate a network topology and weights. From what I read, I think this is just a fancy way to parallelize searching for optimal hyperparameters.
Well, okay, what I meant is that it's literally applying evolutionary algorithms for hyperparameter optimization. Calling it some souped up BS like "population based training" seems like Deepmind marketing is getting out of hand...
Evolutionary Algorithms are a subset of Population Based heuristics. I don't think its "souped up BS" to use the term.
Maybe they have a quota on how many impressions they need to get per quarter?