NeoHorse-1 open-sourced: 4B/9B Qwen3.5 post-trained models targeting recursive self-improvement
PrajwalTomar_ · x · 2026-09-16
TokenRhythm released NeoHorse-1, an open-source project pitched as an early prototype toward recursive self-improvement (RSI), with a technical report on arXiv.
Key points:
- Ships 4B and 9B checkpoints post-trained from Qwen3.5 for agent harnesses, tool use, coding, and instruction following.
- The core is a routing harness that assigns tasks to a heterogeneous model pool, logs tool interactions and outcomes, estimates capability demand, and feeds capability-level feedback into the next training mixture.
- Updated models re-enter the harness, forming an evaluation–selection–update loop; extending it across iterations is the next step toward RSI.
- The repo has 400+ stars and offers GGUF quantizations. The author argues the next AI edge comes from owning the learning loop, not chasing one perfect model.
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