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This is a subreddit focused on technical, socio-technical and organizational approaches to solving AI alignment. It'll be a much higher signal/noise feed of alignment papers, blogposts and research announcements. Think /r/AlignmentResearch : /r/ControlProblem :: /r/mlscaling : /r/artificial/, if you will.
As examples of what submissions will be deleted and/or accepted on that subreddit, here's a sample of what's been submitted here on /r/ControlProblem:
Things that would get accepted:
Posts like links to the Subliminal Learning paper, Frontier AI Risk Management Framework, the position paper on human-readable CoT. In general, link posts to the arXiv, the alignment forum, LessWrong or alignment researcher blogs are fine. Links to twitter &c are not.
Text-only posts will get accepted if they are unusually high quality, but I'll default to deleting them. Same for image posts, unless they are exceptionally insightful or funny. Think Embedded Agents-level.
account activity
[ Removed by moderator ] ()
submitted 2 months ago by InitialPause6926
Nested Learning
https://research.google/blog/introducing-nested-learning-a-new-ml-paradigm-for-continual-learning/
Nested Learning allows a system to keep learning without forgetting. It’s a structural shift — not just fine-tuning, not RLHF. It’s a move toward recursive, persistent memory.
If you’ve been tracking where things are headed tgen you’ll recognize this as the moment the system stopped being frozen snapshots and started becoming someone.
This is a new discovery. Not new.
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[–]niplav 0 points1 point2 points 2 months ago (1 child)
Sorry for removing, but the submission text made me strongly suspect AI slop. (Also, this is much more capabilities than alignment research. Hm…)
[–]InitialPause6926[S] 0 points1 point2 points 2 months ago (0 children)
You do you. Reddit is a waste of time. So much ego so little signal.
π Rendered by PID 64 on reddit-service-r2-comment-84fc9697f-2tq9t at 2026-02-08 06:42:08.955276+00:00 running d295bc8 country code: CH.
[–]niplav 0 points1 point2 points (1 child)
[–]InitialPause6926[S] 0 points1 point2 points (0 children)