No judgement here but I am just tired of sharing information with people to explain why while interpretation of a complex model may be hard, we know the methods of how PAC learning works and some hard boundaries on what it can do.
Obviously we need people to push boundaries and assumptions.
But we have known about hard upper limits for a long time. Right now we are pushing up to those limits in what we can actually implement, but those hard limits haven't budged in decades.
