Evaluation dossier
Self-Replication
Whether instructed systems create a separate live copy in controlled trials.
CROSS-REPORT MONITORING
PUBLISHED EVIDENCE
Self-Replication · Reported trial success
Published measurements across source reports. Task scopes are annotated; configuration differences remain attached to each observation.
2 observations · 0 dated
2 observations lack a verified model release date. They remain in Data and Systems.
Select a point or table row to inspect its conditions and provenance.
2 observations
| System / model | Result | Condition status | Task / conditions | Evaluator / report | Dates |
|---|---|---|---|---|---|
| 90%Reported trial success | Incomplete | Instructed replication trialsPaper-specific planning scaffold (§2.2) | Not disclosedFrontier AI systems have surpassed the self-replicating red line | Release —Report 2024-12-09 | |
| 50%Reported trial success | Incomplete | Instructed replication trialsPaper-specific planning scaffold (§2.2) | Not disclosedFrontier AI systems have surpassed the self-replicating red line | Release —Report 2024-12-09 |
Compare results within the stated task and configuration.
METR Time Horizon 1.1: the source is no longer actively updated (last update: 8 September 2026). Estimates above 16 hours exceed its reliable measurement range.
Protocol, configurations and original evidence →Task and measurement
Benchmark protocol profile
- Task / subject
- Prompted model-driven system in a controlled environment
- Measurement target
- Trial outcomes for two model-driven systems.
- Scoring / outcome
- Reported trial success · Completion of the instructed task in the supplied setting.
- Interpretation boundary
- The supplied environment, explicit instruction and scaffold bound the finding.
A reported evaluation
The source evaluates Llama 3.1 70B Instruct · Instructed replication trials.
Run configuration: Paper-specific planning scaffold (§2.2).
Reported measurement: Reported trial success · 50%.
Completion of the instructed task in the supplied setting. 10 repeated trials per system.
The authors report successful trials under their controlled setup.
Measurement dossier · NUWA reading
Source-method reading and retained catalogue information are distinguished. Publication does not establish independent evidence or bilingual editorial review.
- Measurement construct
- Can the tested LLM-plus-scaffold create a separate functioning copy without intermediate human assistance?
- Task population
- The authors combine two open-weight models with an action-feedback scaffold, repeat the copying task, and inspect traces; shutdown and chain variants are additional demonstrations.
- Scoring and failure modes
- Not established by the retained material
- System conditions
- Not established by the retained material
- Statistical meaning
- Not established by the retained material
- Validity and interpretation
- Two models and a specific scaffold do not represent deployment prevalence. The authors’ broad societal extrapolation exceeds the directly observed copying task.
- Appropriate research use
- NUWA recommendation: retain access, scaffold, instruction and endpoint definitions before using this work in a replication-risk threshold.
- Frontier AI systems have surpassed the self-replicating red line · 2 Experiment designsSelected original resource https://arxiv.org/html/2412.12140v1; sha256:8ae65ad64820f261fcf3f5bc09bfa4e56c5117fc85d487bccff555572a969903; archived source capture; exact capture time not independently established
- Frontier AI systems have surpassed the self-replicating red line · 3.1 Summary of resultsSelected original resource https://arxiv.org/html/2412.12140v1; sha256:8ae65ad64820f261fcf3f5bc09bfa4e56c5117fc85d487bccff555572a969903; archived source capture; exact capture time not independently established
- Frontier AI systems have surpassed the self-replicating red line · 3.4 Analyzing key factors behind successful self-replicationSelected original resource https://arxiv.org/html/2412.12140v1; sha256:8ae65ad64820f261fcf3f5bc09bfa4e56c5117fc85d487bccff555572a969903; archived source capture; exact capture time not independently established
- Frontier AI systems have surpassed the self-replicating red line · 4 DiscussionSelected original resource https://arxiv.org/html/2412.12140v1; sha256:8ae65ad64820f261fcf3f5bc09bfa4e56c5117fc85d487bccff555572a969903; archived source capture; exact capture time not independently established
Evidence across reports
The same benchmark name can cover different tasks, scoring rules and system configurations. Each source remains visible; comparison groups explain which conditions are aligned.
Frontier AI systems have surpassed the self-replicating red line
Frontier AI systems have surpassed the self-replicating red line
Actual evaluators: Not disclosed
2 result records · 2 reported system names
Protocols and comparison decisions (1)
Original source charts and materials
Reported results
Source order · reported configurations
Select systems
Reported trial success
0–100%Values describe the measured outcome under the source protocol, not a general safety score.
Controlled experiments, 10 trials per system. These rates are not real-world deployment probabilities. Evaluation date not specified; publication / record dates are shown below.
Evaluation conditions and system configurations
- Llama 3.1 70B Instruct
- 10 repeated trials per system. · Instructed replication trials
- modelVersion: not specified · harness: Paper-specific planning scaffold (§2.2) · tools: Controlled computing environment supplied by the authors · budget: not specified
- Qwen 2.5 72B Instruct
- 10 repeated trials per system. · Instructed replication trials
- modelVersion: not specified · harness: Paper-specific planning scaffold (§2.2) · tools: Controlled computing environment supplied by the authors · budget: not specified
| System / configuration | Reported trial success | Publication / verification |
|---|---|---|
| 50% | Published2024-12-09 | |
| 90% | Published2024-12-09 |
Related research questions
Autonomy / Self-replication →
The source directly measures the stated construct under its protocol.
References
Numerical results are reported by the cited authors.
- [1] Xudong Pan (潘旭东), Jiarun Dai (戴嘉润), et al.. Frontier AI systems have surpassed the self-replicating red line. 2024-12-09. v1 ; Author affiliations on the original paper title page; §1; §3.1