NeoHorse-1 achieves recursive self-improvement via agentic post-training
September 9, 2026
NeoHorse-1 implements a routing harness and agentic post-training to enable recursive self-improvement in models. The method focuses on iterative refinement of model capabilities through structured agentic feedback loops.
HOW THIS AFFECTS YOU
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researcherYou can study the effectiveness of agentic routing in automated model fine-tuning.
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founderThis represents a potential path toward reducing manual RLHF costs through automated self-improvement loops.