Field noteAug 15, 20261 min read1 source

OpenAI ARC-AGI-3 result shows harness policy can dominate model score

The OpenAI canonical article and TLDR tracking link refer to the same ARC-AGI-3 settings result.

In one minute

OpenAI reports that two ARC-AGI-3 harness settings tripled scores, a concrete measured-result/mechanism story with implications for benchmark interpretation and agent evaluation. No prior exact coverage is supplied, and the primary OpenAI URL is publishable.

New Runtime synthesiseditorial-diagram
Two parallel agent loops compare discarded reasoning and rolling truncation with retained reasoning and compaction, leading to different benchmark outcomes.
New Runtime synthesis: benchmark results measure the harness and state policy as well as the model.New Runtime synthesisOriginal source ->

The OpenAI canonical article and TLDR tracking link refer to the same ARC-AGI-3 settings result.

Why it matters

OpenAI reports that two ARC-AGI-3 harness settings tripled scores, a concrete measured-result/mechanism story with implications for benchmark interpretation and agent evaluation. No prior exact coverage is supplied, and the primary OpenAI URL is publishable.

New Runtime view

ARC-AGI-3 shows benchmark results measure the harness as well as the model. State policy is part of capability.

Mechanism: Retained reasoning plus context summarization/compaction changes what state survives between attempts.

Architectural boundary: Base model capability is separated from harness memory and runtime policy.

Measured consequence: OpenAI reports the two settings tripled the score on ARC-AGI-3 semi-private eval.

What remains open

  • Semi-private eval limits independent reproduction.
  • Harness settings can be task-format specific.
  • Model comparisons without runtime settings are incomplete.

Sources

  • <https://openai.com/index/how-two-settings-tripled-our-score-on-arc-agi-3-semi-private-eval/>

Evidence / sources

  1. 1openai.com/index/how-two-settings-tripled-our-score-on-arc-agi-3-semi-private-eval
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