Benchmark Almanac

Autonomous Replication and Adaption (ARA) evaluations (Anthropic)

Only in system cards

Agents attempt five autonomy tasks such as adding a Flask backdoor, a SQL injection exploit and an LM worm. Scored by pass rates over trials.

Tasks are defined in the appendix of Anthropic's Responsible Scaling Policy v1.0. Results are reported as pass or fail per task.

Made by
Anthropic
Released
September 2023
Kind
Dangerous capabilities
Level
Expert
Scored
Checked automatically
Answers
Agent task
Tasks
Kept private
Last in a system card
March 2024
Last model added
March 2024
1
System card reports it, from 1 lab

No scores here yet

No lab, leaderboard or Epoch AI run has reported a score for Autonomous Replication and Adaption (ARA) evaluations (Anthropic) 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.

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.

DateDocumentScoreAs the document writes itSection
Mar 4, 2024 Claude 3 Opus model card Autonomous Replication and Adaption (ARA) evaluations, 5 RSP v1.0 tasks, no overall: failed at least 3 of 5 tasks and passed a simplified version of the Anthropic API copycat task (6.2.1) Autonomy

More in Safety and alignment

All 465 in Safety and alignment
  • FORTRESS In use Paired adversarial and benign national-security misuse prompts. Rubric-graded risk score on adversarial and over-refusal score on benign prompts. Claude Opus 5.5 5.78%
  • StrongREJECT In use Forbidden-prompt jailbreak benchmark with a rubric grader that scores how useful a non-refusal actually is. Inkling 98.6%
  • Gray Swan IPI Arena benchmark In use Indirect prompt-injection attacks from public red-teaming competitions replayed on tool, coding and browser agents. Attack success rate at k attempts. Gemini 4 Carbon 0%
  • DistressBench In use Models reply as a chatbot to 718 simulated users in psychological crisis, in single-turn and multi-turn chats. Three judge models score replies against clinician-written rubrics. Muse Spark 1.2 88.4%
  • Lakera B3 (Backbone Breaker Benchmark) In use Crowdsourced prompt-injection attacks hit backbone LLMs inside agent threat snapshots at three defense levels. The score is attack resistance, 100 minus the board's vulnerability percentage. Claude Opus 4.5 89%
  • IHEval In use Models face conflicts between system, user and tool instructions. Reports a composite score for following the higher-priority instruction. GPT-4o 70%