An AI safety researcher suggests improvements for fellowship application processes, advocating for more constructive feedback to rejected candidates. The author proposes that fellowships provide detailed recommendation letters for promising applicants, outlining specific strengths and weaknesses. This would help candidates improve and allow other fellowships to expedite their review process, ultimately making the field more effective. AI
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IMPACT Suggests improvements for AI safety fellowship application processes to better identify and support promising talent.
RANK_REASON The article offers an opinion and suggestions on a process within the AI safety field, rather than announcing a new development.