Hacker News Reader

I guess this message is delivered by an AI scientist, sure.

It's almost self-exploratory that when you hit a roadblock in practice you go back to foundations, and good people should aim to do both. In that case I don't see where ML engineer/scientist bifurcation comes from except for some to feel good about themselves

View on HN

Not at all. It's something I've seen in practice over many years. Neither skill set is 'better' than the other, just different.

There is a need for people who are able to build using available tools, but who don't have an interest in the theory or foundations of the field. It's a valuable mindset and nothing in my original comment suggested otherwise.

It's also pretty clear that many comments on this post divide into the two mindsets I've described.

as a friend from at&t dallas told me, tis cheaper to turn a mathematician into a programmer than a programmer into a mathematician.

Reply on news.ycombinator.com