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There is so much to learn (automated theorem proving, graph neural networks, reinforcement learning, theory of mind, ...), yet so little time. Any tips on how t
by smokel 5y ago
There is so much to learn (automated theorem proving, graph neural networks, reinforcement learning, theory of mind, ...), yet so little time. Any tips on how to prioritize?
- saint_angels 5y agoI suggest choosing one main direction for a fixed period of time(like a month) and sticking with it, without distractions on other interests. After period ends, you select a theme for the next one. imo helps with getting through the boring/hard parts and seeing results.
- truly 5y agoI would focus on one area that I find the most interesting and where I would be willing to go all the way [1]. [1] from personal experience, if you many things, you will not end up doing many of them at a top level.