Our sources
Modelwire pulls from 30sources across publishers, official lab channels, community boards, and preprint servers. Editorial weight (1–10) reflects how heavily a source’s coverage influences buzz scoring.
Frontier-lab official channels · weight 10/10
- Anthropic (rss)
- Google DeepMind (rss)
- OpenAI (rss)
Major AI publications & researchers · weight 9/10
- Google Research (rss)
- Hugging Face (rss)
- Import AI (Jack Clark) (rss)
- Meta AI (rss)
- Microsoft AI (rss)
- Mistral AI (rss)
- MIT Technology Review — AI (rss)
- SemiAnalysis (rss)
- Simon Willison (rss)
Trusted operators & analysts · weight 8/10
- Cohere (rss)
- Perplexity (rss)
- Stratechery (rss)
- The Information — AI (rss)
Generalist tech with strong AI desks · weight 7/10
- Ars Technica — AI (rss)
- IEEE Spectrum — AI (rss)
- r/MachineLearning (reddit-json)
- Stability AI (rss)
- TechCrunch — AI (rss)
- The Verge — AI (rss)
- WIRED — AI (rss)
Community signal · weight 6/10
- GitHub Trending — Python (github-trending)
- Hacker News (hn-algolia)
- r/LocalLLaMA (reddit-json)
- VentureBeat — AI (rss)
Preprints & raw signal · weight 5/10
- arXiv cs.CL (arxiv)
- arXiv cs.LG (arxiv)
- r/singularity (reddit-json)
Don’t see your publication?
Email hello@themodelwire.comwith an RSS feed URL and we’ll consider it. We add sources slowly — editorial quality and signal-to-noise matter more than coverage area.