alt Hacker NewsSadly most science and engineering is very capital intensive.
So take this scenario - I'd argue that if you want to make progress in the field of these particular ML models, then you are going to need resources ( compute/data etc ) that is beyond most individuals capability to muster. ie you have to join a company with resources ( or persuade somebody to give you them ).
Right now there is one of those scenarios where capital is chasing talent - and so talent, if they are so inclined, is able to make the most of that.
But in normal times that's typically not the case - most of the time scientists are chasing the capital ( directly or indirectly in the form of a job in a well resourced company ) in order to be able to science, rather than the other way around.
Having the whole world connected to top sports players also costs a lot of money, it doesn’t happen naturally
To become a good scientist you don’t need much classic capital, you need a good environment. And for ML you only need one computer for yourself or you can rent online
There are still big inefficiencies for those who have capital to discover good scientists / engineers. Lots of them are unknown.
But if there are top ones famous it will bring more people to study those fields