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A blog post reflecting on the process of becoming a machine learning researcher, drawing parallels to Zen meditation and emphasizing the importance of reading, building, focusing on fundamentals, and not chasing benchmarks.
A Twitter thread offering philosophical and practical advice on doing AI research, emphasizing reading combined with building, deep understanding of fundamentals over chasing trends, maintaining a beginner's mindset, and the importance of discipline and openness to new ideas.
A thoughtful thread on developing genuine research skills in machine learning, covering how to pick problems independently, cultivate taste, upgrade information inputs, and write to clarify thinking.