HELIX: Model-Harness Co-evolution for Recursive Self-Improvement
What this work does
Organizes harness candidates and matched outcome records as explicit interventions, producing both deployable designs and provenance-linked training examples for later model updates.
Connection to discovery
A useful data schema for jointly studying harness variation and the model-training data those variations generate.
Evidence
The inspected formalization separates fixed-harness utility, portfolio coverage and oracle routing ceilings; a code-repair case study motivates the interface.
Scope and limitations
Oracle portfolio yield is not deployable performance without a router. The conceptual co-evolution loop and verified data yield should not be mistaken for evidence of indefinite repeated model-harness improvement.
THE RESEARCH CONVERSATION
Discussion & reactions
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