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Machine learning researchers discuss developing 'research taste' without collaborators

A discussion on Reddit's r/MachineLearning subreddit explores the concept of "research taste," defining it as the skill to select impactful problems and avoid over-engineering solutions. The post suggests a mental model for approaching research, emphasizing starting with the simplest possible solution, like a prompt, before resorting to complex methods. It highlights the difficulty of developing this taste without collaborators or critical feedback, seeking practical advice from the community on how to stay honest and effective in empirical research. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Offers insights into effective problem selection and solution design for AI researchers.

RANK_REASON The cluster contains a discussion post from a subreddit about developing research skills, which falls under commentary.

Read on r/MachineLearning →

COVERAGE [1]

  1. r/MachineLearning TIER_1 · /u/Odd-Donut-4388 ·

    Research taste is a skill nobody talks about. How do you develop it without collaborators? [D]

    <!-- SC_OFF --><div class="md"><p>if you've ever built an elegant, complex ML pipeline to solve something a 10-line prompt could've handled... this is for you.</p> <p>i've been thinking about what separates people who do useful research from people who do impressive-looking resea…