RSI is not happening [R]

Reddit r/MachineLearning Papers

Summary

A new paper argues that Recursive Self-Improvement (RSI) is not imminent because current AI agents cannot perform open-ended ML research, as demonstrated in experiments on NeurIPS papers.

A new paper (I'm not a coauthor BTW -- I just found it interesting) argues, basically, that RSI is not on the horizon, because current (at the time the study was done) agents cannot do open-ended ML research. Specifically, they took some accepted, but unpublished papers from NeurIPS, and tried to get the agents to do the same work, which was then graded by the original authors. And the agents (Codex/GPT-5.6 Sol and OpenClaw/Opus 4.8) could not do it. And since they cannot do open-ended ML research, they cannot recursively self-improve -- this is their argument. Link: https://arxiv.org/abs/2607.27191 I think I've regretted the last 10 or so times I posted any kind of "research" in this subreddit -- either people downvote it, or it gets upvoted, but there is zero meaningful discussion. This might be the last time I'm trying this.
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My 3 cents on RSI

Reddit r/singularity

Vadim Fedenko shares a technical analysis of Recursive Self-Improvement (RSI), arguing that true RSI requires improving capability faster than complexity and expanding architectural space rather than just optimizing within fixed parameters. He doubts recent claims by xAI and Anthropic that RSI could arrive within a year, citing LLMs' poor subtractive engineering skills and current reward functions that ignore complexity.