How do you as an AI/ML researcher stay current with new papers and repos? [D]
Comments reveal diverse approaches: using arXiv alerts, following key researchers on Twitter/X, subscribing to newsletters like Papers With Code, and participating in academic social networks. Common frustrations include information overload, paper quality variance, and time constraints. Many report spending 5-10 hours weekly, with some dedicating entire days to reading papers. Community recommendations emphasize curated sources over trying to read everything.
[P] Is this considered ML or adjacent? It's a force directed graph visualization as a recommendation engine leveraging LLM scoring oracle, computer vision classification and face clustering, but serving via physics simulation
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