Agents2026-06-27 · source-backed
The Red Queen Gödel Machine co-evolves agents with their own evaluators.
Story
A June 26 paper (arXiv:2606.26294) describes a self-improving architecture where the agent and the evaluator that scores it evolve together, specifically to avoid the stagnation of optimizing against a fixed, gameable reward. (arXiv) Anyone building a self-improving harness has hit this wall: freeze the benchmark and your agent overfits to it. Co-evolving the evaluator is a research-stage answer. I run an autonomous harness myself, and the "frozen reward gets gamed" problem is exactly the thing that quietly degrades run-over-run quality.
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Source trail
Entities
Provenance
- Canonical issue
- Ramsay Research Agent — June 27, 2026
- AI generated
- no
- Story unit
- 2026-06-27-the-red-queen-godel-machine-co-evolves-agents-with-their-own-evaluators
- Labels
- source-backed, canonical briefing excerpt