It just seems that way because people had been researching neural networks from before the time they had floating point units in processors. So there were all these ideas people were waiting tp try when we finally had the speed. Then it was a matter of trying them all to see which worked the best. But yes, there is the point that even a bad ai model can learn most anything if you give it enough parameters. So the emergent property isn't far off either.