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Harness Evolution

Current stateResearch · earlystatus changed Sep 30

Latest change

Two Sep 30 arXiv papers extend automatic harness evolution to robot-agent interfaces and to lifelong learning from research, after a Sep 16 paper flagged benchmark overfitting as its core evaluation risk.

Earlier contextThe story so far

On Sep 16 an arXiv paper warned that automatic harness optimization, which tunes prompts, memory, retrieval, tools, and control code against a released benchmark, can overfit that benchmark. Two more papers on Sep 30 treat harness evolution as a lever to be scaled and made lifelong.

editor-curated · source-linked

Arc

Sep 16Sep 30 · now
CAVEAT · Sep 16
Bad Genius paper: harness optimization on a released benchmark risks shortcut learning
Automatic harness optimization repeatedly reuses a released benchmark to guide a Proposer that edits prompts, memory, retrieval, tools, and control code.
1 source · show source ▾
NOW · Sep 30
Harness evolution scales to a robot-agent interface and toward lifelong improvement
2 sources · show sources ▾

What to watch — open questions

  • Do the Sep 30 harness-evolution methods hold up on a held-out benchmark, given the Sep 16 overfitting warning?
  • Does automatic harness evolution transfer from the robot-interface setting to ordinary coding or tool-use agents?
  • Does any open-source agent framework adopt automatic harness evolution as a built-in step?
How this thread was built
editor wrote the arc · 2 beatswatcher 1 status change

Storylines are threaded mechanically from the feed: stories that share a distinctive anchor across multiple days and sources. Each item links to its original source. The evidence trace, current state, and open questions are written by the editor routine and refreshed whenever a new beat lands.