Yes, the AI example was not very good. In Montreal, we have tons of AI people here - their code is sometimes a nightmare. They are AI guys, 'code' to them is l

Yes, the AI example was not very good. 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 ...