Would some form of computer-aided tool be able to help the programmer analyze GPs? It sounds like there's some repetitive process when you say 'GPs with a lot o

Would some form of computer-aided tool be able to help the programmer analyze GPs? It sounds like there's some repetitive process when you say 'GPs with a lot of patience'. I was thinking along the line that if such a tool is possible, then it might be possible to let the development and evolution of GPs iterate faster than deep learning. I found this thread really interesting, because of the small size, such implementations can be easily done locally without expensive and huge hardware setup. I'm definitely amazed at what DL has achieved so far. But it looks to me like a brute force way to solve a problem by gathering huge amounts of data, crunching on huge amounts of hardware, to solve a very specific classification problem. Not saying that is not good, just saying it is hard for mass participation at a high production quality level due to lack of hardware and stuffs.