Ah, but if you are doing groundbreaking AI research, you need AI experts. You will also need developers, but those developers may not actually need to be superstars.
In Montreal, we have tons of AI people here - their code is sometimes a nightmare. They are AI guys, 'code' to them is like 'mathlab'. Fortunately, it's surprisingly not a lot of code.
But the general point stands: it depends what you're doing.
Developing frameworks is a good example: you generally want experienced people who have 'seen it, done it, been there' and have the 'wisdom' of that - plus - hopefully, an ability to actually 'get stuff done'. Doing 'new' is hard.
But 'in general' I think the post makes sense: 95% of companies need 'professional, thoughtful, collaborators' who can take mildly complex problems, write clean, safe, simple code, document, test, release and move on ...
I think 'groundbreaking AI' was used as an example of something which is (1) new and (2) requires efficient use of hardware. Of course you will need domain experts. But if the new idea requires infrastructure which has not been built and places high demands on the machine, then the project will require above average developers.
In Montreal, we have tons of AI people here - their code is sometimes a nightmare. They are AI guys, 'code' to them is like 'mathlab'. Fortunately, it's surprisingly not a lot of code.
But the general point stands: it depends what you're doing.
Developing frameworks is a good example: you generally want experienced people who have 'seen it, done it, been there' and have the 'wisdom' of that - plus - hopefully, an ability to actually 'get stuff done'. Doing 'new' is hard.
But 'in general' I think the post makes sense: 95% of companies need 'professional, thoughtful, collaborators' who can take mildly complex problems, write clean, safe, simple code, document, test, release and move on ...