Don't think you should be intimidated just by reading the article itself. It is using several domain specific terms. But you would encounter that in many other contexts - for instance a group discussing an intricate board game you are seeing for the first time.
However, unlike board games where the concepts can be explained to you in a few minutes (usually it becomes clear only when you play), a lot mathematics especially algebraic geometry/number-theory can have many layers of dependencies which takes years to absorb.
It would be interesting to compare it to understanding a large open source project like the Linux kernel, well enough to contribute. I would say it is not so conceptually deep as mathematics of the article (while still having a few great ideas). But understanding the source would require familiarization with 'tedious details' which incidentally, what this article is also about.
So the issue, stated this way, is not so much raw talent as time and effort. This leads to the topic of motivation - finding something great in an idea can lead to investment in the subject. For those more talented, the journey might be easier.
Alan Kay's maxim is crucial - a change of perspective can simplify things relative to 80 extra IQ points. A long sequence of technical steps can be compressed into a single good intuitive definition/idea like the complexity of navigating a path becomes clear from a higher viewpoint.
Grothendieck, considered by many to be the best mathematician of the past century, made the point that there were several colleagues who were more proficient
at symbolic manipulation. But, he was able to look at things with a more foundational perspective and could make great contributions.
However, unlike board games where the concepts can be explained to you in a few minutes (usually it becomes clear only when you play), a lot mathematics especially algebraic geometry/number-theory can have many layers of dependencies which takes years to absorb.
It would be interesting to compare it to understanding a large open source project like the Linux kernel, well enough to contribute. I would say it is not so conceptually deep as mathematics of the article (while still having a few great ideas). But understanding the source would require familiarization with 'tedious details' which incidentally, what this article is also about.
So the issue, stated this way, is not so much raw talent as time and effort. This leads to the topic of motivation - finding something great in an idea can lead to investment in the subject. For those more talented, the journey might be easier.
Alan Kay's maxim is crucial - a change of perspective can simplify things relative to 80 extra IQ points. A long sequence of technical steps can be compressed into a single good intuitive definition/idea like the complexity of navigating a path becomes clear from a higher viewpoint.
Grothendieck, considered by many to be the best mathematician of the past century, made the point that there were several colleagues who were more proficient at symbolic manipulation. But, he was able to look at things with a more foundational perspective and could make great contributions.
Here's a good essay by Thurston "Proof and Progress in mathematics". https://arxiv.org/pdf/math/9404236
He discusses this problem of being intimidated by jargon.