How to cultivate a high-signal AI feed

Basic tips on how to assess inbound ML content and cultivate your news feed.This is AI generated audio with Python and 11Labs. Music generated by Meta's MusicGen.Source code: https://github.com/natolambert/interconnects-toolsOriginal post: https://www.interconnects.ai/p/making-a-ml-feed00:00 How I assess all these AI releases01:22 1. Model access and demos are king of credibility02:31 2. Focus your feed on depth or breadth03:09 3. Examples of using the model normally show its usable, shockingly04:10 4. Leaderboards as the single leading claim is often anti-signal05:00 5. Basic deep learning conceptual checks will often save you06:13 6. If it's not even remotely reproducible or verifiable, it's not science07:10 7. Don't over-index on Twitter08:32 8. Data sharing, licenses, communication clarity, and small things add up08:58 9. Research papers, technical reports, blog posts, and Tweets all serve different purposes09:49 10. Socialize your information and build relationships Get full access to Interconnects at www.interconnects.ai/subscribe