A master's student in machine learning is struggling to generate novel research ideas, despite extensive reading and replication of existing papers. The student, who is older than typical peers, finds their own ideas to be clunky and inelegant, contrasting with the perceived brilliance of published work like diffusion models and token superposition. They question whether successful researchers are inherently gifted or if their initial work also faced similar challenges, and whether luck or astute mentorship plays a significant role. AI
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RANK_REASON User is asking for advice on generating novel research ideas in ML.
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