Bridge human and non-human peers in the digital world (either through physical intelligence or digital simulation)
I want to apply ML to some scalable problem/domain.
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Deciding to join should honestly not be considered that much. You should bias for action because you will find more information under uncertainty than remaining where you are and subject to biased feedback loops
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[ ] Does this present an opportunity to reduce confounding factors?
(e.g i think doing this robotics startup is a good way to experiment with my non-negotiables, because right now being in school was in direction of no environment and no enjoyment in research, and doing this startup is no environment but enjoyment in work (startup). so if i dont enjoy this then that means environment is a huge non-negotiable)
[ ] If you take this, what information do you hope to learn out of this? (e.g I value location, I like doing XYZ)
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