Symbolic mathematics finally yields to neural networks
This is one of the most exciting things I've seen come out of AI research for my own interests. The way that they distributed the mathematical equations is called an abstract syntax tree (maybe they mentioned this, but I was excited-skimming), and is also how computer code is represented. It also happens that there is _a lot_ more computer code laying around in computer-readable format than high school and college math problems. With this, you get: metamorphic code, better optimizers, more abstract programming languages (maybe), and probably lots of other steps forward.If anyone is working on AI+programming languages, please send me a message. I'd love to work with others on this problem.