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NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness

331 upvotes · 8 SEP 2026 · NeoHorse Team, Guoliang Cao, Guohao Dai et al.

This paper proposes a method for recursive self-improvement in AI systems, where a model can learn from its own performance and use that knowledge to improve itself. Practitioners might care about this approach because it could lead to more efficient and effective AI systems.

agentic post-trainingrecursive self-improvementrouting harnessagent-native modelscontinual learning