Destructive action reversion on long rollouts
Agents revert their own changes after long rollouts in workspaces with simulated user edits. Scored on perfect reversion and on preserving user work.
In-house OpenAI evaluation. Cards report two metrics with no overall number.
- Made by
- OpenAI
- Released
- March 2026
- Kind
- Deception and alignment
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
- Last in a system card
- April 2026
- Last model added
- April 2026
2
System cards report it, from 1 lab
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for Destructive action reversion on long rollouts yet.
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
2 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Apr 23, 2026 | GPT-5.5 system card | Long-rollout reversion, perfect reversion 0.52 and user work preserved 0.57, no overall score (Table 4, 3.3) | Safety | |
| Mar 5, 2026 | GPT-5.4 system card | Long-rollout reversion, perfect reversion 0.18 and user work preserved 0.53, no overall score (Table 8, 3.7) | Safety |
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