Concerns over the shift in focus of the Machine Learning subreddit
The author expresses concern that the r/MachineLearning subreddit has shifted its focus away from technical discussions on ML research, architecture, and implementation towards academic gossip, review process rants, and conference administration issues.
Why it matters
Maintaining the focus of the r/MachineLearning subreddit on technical ML discussions is important for fostering a productive community and ensuring that valuable research and implementation insights are not overshadowed by non-technical topics.
Key Points
- 17 out of the top 10 posts in the past month are about conference drama and administrative issues
- 2This is drowning out technical discussions on the subreddit
- 3The author proposes creating a pinned monthly megathread for
- 4 and updating the subreddit rules to explicitly exclude general complaints about the peer review process
Details
The author notes that the r/MachineLearning subreddit, which is meant to be a hub for discussions on machine learning research, architecture, and implementation, has seen a shift in focus towards academic gossip, review process rants, and conference administration issues. They provide a list of the top 10 posts from the past month, with 7 out of the 10 being related to these non-technical topics. The author argues that this is drowning out the valuable technical discussions that the subreddit should be focused on. To address this issue, the author proposes creating a pinned monthly megathread specifically for discussions around the peer review process, conference administration, and related topics. They also suggest updating the subreddit's rules to explicitly exclude general complaints about the peer review process, in order to maintain the subreddit's focus on technical ML content.
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