I read about the guy who used GTA to train a neural net. I think he was trying to make the point that although obviously imperfect, using simulated data could a

I read about the guy who used GTA to train a neural net. I think he was trying to make the point that although obviously imperfect, using simulated data could actually work. I'm not saying using simulated data (SD) should the be-all end-all for training neural nets, but we're seeing algorithms performing better when they're trained using a combination of real labelled data and SD rather than real data alone. I hear your point though about hype cycles and the tunnel vision SV can often fall into.