[MathematicalArt]

The following is a link to the Mathematics Subject Classification [1]. There are thousands of lines, with each line being a different area of specialization in the disciplines of math. Every time you think we are close to "running out" of ideas, things to do, or things to learn, I ask that you pull this up. Even if we limit to mathematics and don't talk about things like agriculture, psychology, and so forth, you have so many possible things to do with your life that even if everyone picks one thing and specializes in it, there will still be something unique for you to explore. Consider that something like machine learning is largely applied statistics, optimization, linear algebra, and a few other things and then look at this list with those things omitted! There is still a lot left. We are nowhere close to having worked on all the interesting problems or running out of things to discover.

[1]: https://cran.r-project.org/web/classifications/MSC-2010.html

[jborichevskiy]

Good example!

Here’s another list of the World’s Hardest Problems. Aka the next $50T of economic growth

https://docs.google.com/document/d/1Vb8WWbsVyEJzl66_qqtZfFr2...

[lotsofpulp]

What makes a lot of those hard is solving them while keeping the current political class ordering in place.

Wealth transfers and reduction in consumption are clear solutions, but getting people to give up their luxuries and prioritize future generations’ lives over their own is the root problem, which may not have a solution.