Why is this important? Because math is the root of all science. Fusion energy physics, material science, biology - they all use number theory and other similarly advanced math to find and prove results. Math isn’t sufficient, but it is the most necessary domain to make all important breakthroughs that will improve the world for all of humanity. What Google has done: Over the past month, there have been about a half dozen problems that the Deepmind/Google folks has been solving lately with little to no fanfare. Here is the latest example: https://www.erdosproblems.com/forum/thread/12 Notably, Terrence Tao had this to say about that result: "Terrence Tao: While the AI-generated argument ended up being relatively straightforward (after being cleaned up), this solution is perhaps notable for being one of the first AI-generated (partial) solutions to an Erdos problem which actually has a non-trivial amount of human literature on it that made prior partial progress but did not resolve the problem. A problem could be “low hanging fruit”, yet still have a simple solution overlooked by multiple human experts who actually spent some non-trivial amount of time thinking about the problem, to the point where they were writing entire research papers on it. " So - simple solution, but one not found by people writing entire research papers on it. Other labs: The only other lab that is throwing resources into this is OpenAI . The second+ tier labs are busy with insipid job displacement, hacking, and engagement farming. IMHO, I’d like to see a ban on these second+ tier lab data centers until they start investing more in real scientific advancement. submitted by /u/kaggleqrdl
Originally posted by u/kaggleqrdl on r/ArtificialInteligence