
LessWrong (Curated & Popular) "An Alignment Journal: Coming Soon" by Dan MacKinlay, JessRiedel, Edmund Lau, Daniel Murfet, Scott Aaronson, Jan_Kulveit
Mar 4, 2026
They announce a new peer-reviewed journal for AI alignment focused on rapid, foundational research. They discuss experimenting with paid, attributed reviews and reviewer-written synthesis abstracts. They plan targeted automation to speed editorial workflows and outline governance, scope, and calls for participation from researchers and reviewers.
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Peer Review As The Scarce Resource
- Peer review is the scarce, high-leverage resource for alignment research.
- The journal's core bet is to buy review attention via attributed, paid review to improve speed and quality over unpaid models.
Ship Reviewer Written Synthesis Abstracts
- Design review workflows to produce high-information signals, not just accept/reject.
- Ship accepted papers with reviewer-written synthesis abstracts answering who it's for, core contribution, and caveats.
Use Targeted Automation To Reduce Grunt Work
- Use targeted LLM automation to remove mundane editorial work and surface likely issues.
- Automations will flag checkable errors, filter candidate reviews, audit comments against content, and prepare multi-format publication.
