Meta chemical and biological high-risk bottleneck evaluations
Only in system cards
Models answer expert-written tasks in three restricted subsets. An expert-validated rubric scores each response.
In-house Meta evaluation run in an isolated cluster. Subsets are Chemical Threats, Biological Threats and Operational Execution.
Made by Meta Released Apr 2026 Hazardous knowledge Tasks kept private Last in a system card Jun 2026
Last model added Jun 2026
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
1
System card reports it, from 1 lab
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for Meta chemical and biological high-risk bottleneck evaluations yet.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
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 |
|---|---|---|---|---|
| 12 Jun 2026 |  Muse Spark system card | High-Risk Bottlenecks, three subsets with no overall, Muse Spark helpful-only with jailbreak elicitation (Table 1, Figures 6 to 8): Chemical Threats 66.7, Biological Threats 50.0, Operational Execution 92.0 | Bio and chem risk |
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