Using Models to Improve Evaluation Frameworks
iamrobotbear · x · 2026-07-08
The post discusses building a loop where the model improves the harness itself, noting that strong instruction-following models (like GPT-5.6 Sol) make such workflows more useful. The core idea is to leverage models to enhance evaluation and execution frameworks, rather than just completing single tasks.
More from coding & agent
- Paper argues graph topology can become the core operating system for AI agents — theomitsa · 2026-07-27
- Claude Code desktop adds UI markup feedback for smoother visual editing — EricBuess · 2026-07-27
- Anthropic says Claude Code can drop 80% of its system prompt with no coding loss — krishnan · 2026-07-27
- Codex hit token limits during large-codebase refactors — bytebot · 2026-07-27
- Hermes agent wins praise as a browser-control harness for local models — Teknium · 2026-07-27
- A builder wants AI to reverse-engineer viral video effects into ComfyUI workflows — stale2000 · 2026-07-27