Summary
A freshman entering a prestigious university lab for hardware-aligned machine learning research is seeking guidance on how to identify truly open research problems. They express a common challenge for new researchers: distinguishing genuinely unsolved issues from those that merely appear open. This query highlights the difficulty newcomers face in navigating complex research landscapes.
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