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Agents2026-06-27 · source-backed
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.
Each link below shares sources, entities, or timing with this story.
Shared entity: Anyone / Same source domain / Shared topic / What happened next
Both cover Anyone; reported by the same outlet (arxiv.org); overlapping topics (agent, anyone, benchmark, evaluator).
Both cover Anyone; reported by the same outlet (arxiv.org); overlapping topics (agent, anyone, benchmark).
Both cover Anyone; reported by the same outlet (arxiv.org); overlapping topics (agent, anyone, benchmark).
Shared entity: Anyone / Shared topic / What happened next / Tension
Both cover Anyone; overlapping topics (against, anyone, benchmark); picks up the Anyone thread on 2026-07-28.
Shared entity: Anyone / Same source domain / Shared topic / What happened next
Both cover Anyone; reported by the same outlet (arxiv.org); overlapping topics (agent, anyone).
Both cover Anyone; reported by the same outlet (arxiv.org); overlapping topics (anyone, benchmark).
Both cover Anyone; reported by the same outlet (arxiv.org); overlapping topics (agent, anyone).
Both cover Anyone; reported by the same outlet (arxiv.org); overlapping topics (agent, anyone).