In research (ML and in general) neither academia nor industry seems to have figured out how to systematically teach talented newcomers how to become productive researchers. Individual mentors yes, but not robust and transferrable best practices. This is a huge missed opportunity.https://twitter.com/MacInTweets/status/960998757499318272 …
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What skills or habits did you use to make the most out of being advisor-less? Many students would have fallen into helplessness or depression in that situation. I posit there's something you brought to the table that allowed you to respond productively. Curious what that was!
I believe there can both be (a) a lot of value in much improved mentoring; and (b) great value in learning how to work in isolation. There is a quote on this from Grothendieck that means a lot to me https://news.ycombinator.com/item?id=8605193 (especially after quitting tenure to work independently)
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Definitely. I'm sort of grasping for the (a) that causes (b). What does it look like to provide contexts in which trainees reliably learn how to work in isolation? Even if they didn't have the prereqs when they arrived? What *is* the prerequisite chain for learning to learn?
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I study in a tech uni without teachers/mentors. Prereqs: having a desire to learn. Context: a) they select students based on a one-month endurance test b) give us a workplace c) financial support c) we unlock progressively harder challenges.
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