Sadly 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.
alt Hacker News
Sadly 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.