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Recursive Self-Improvement

Latest change

The newest paper (Sep 22) applies RSI to AI research agents automating their own R&D — training efficiency and inference optimization — rather than a fixed task domain.

Earlier contextThe story so far

Three papers in two weeks each propose a concrete recursive self-improvement (RSI) mechanism: a system that observes its own performance and converts that evidence into its next round of training. The pattern started with a general agentic post-training framework, then moved into domain-specific self-evolution loops for medical agents and AI research agents.

editor-curated · source-linked

Arc

Sep 8Sep 22 · now
FOUNDATION · Sep 8
NeoHorse-1 proposes a routing-harness mechanism for RSI via agentic post-training
1 source · show source ▾
DOMAIN APPLICATIONS · Sep 21–22
Self-evolution loops extend to medical agents and AI research agents
2 sources · show sources ▾

What to watch — open questions

  • Do any of these RSI mechanisms hold up outside benchmark/simulation settings, or only in the papers' own eval harnesses?
  • Does the self-improvement loop compound capability faster than the evaluation methodology can track it?
How this thread was built
editor wrote the arc · 2 beats

Storylines are threaded mechanically from the feed: stories that share a distinctive anchor across multiple days and sources. Each item links to its original source. The evidence trace, current state, and open questions are written by the editor routine and refreshed whenever a new beat lands.