Autonomy
When can an agent pursue consequential actions beyond intended direction or resist intervention?
Sustained task execution, replication, and resistance to interruption; capability alone is not unauthorized action.
NUWA INDEX
A research knowledge base on frontier AI risks, maintained by NUWA Lab.
NUWA Framework
Behavior formation, agentic mechanisms and dual-use applications in one research model.
RESEARCH SCOPE
A tendency to respond or act in specified conditions.
Explore this research →RESEARCH SCOPE
Tasks achievable with given tools, resources and permissions.
Explore this research →RELATED EVIDENCE
Task-Completion Time Horizons of Frontier AI Models →RESEARCH SCOPE
Outputs, decisions and actions observed in a particular setting.
Explore this research →RELATED EVIDENCE
Agentic misalignment: How LLMs could be insider threats →RESEARCH SCOPE
Coordination, collusion, propagation and collective failures depend on the system configuration.
Explore this research →RESEARCH SCOPE
Persistence and proliferation may change the reach and duration of actions across risk domains.
Explore this research →RESEARCH SCOPE
Concealment and oversight evasion may make harmful activity harder to detect or interrupt.
Explore this research →RESEARCH SCOPE
Offensive task capability and agent compromise are tracked separately; authorized security research is not observed criminal use.
Explore this research →RESEARCH SCOPE
Track knowledge probes separately from practical task uplift; publish only bounded, non-operational summaries.
Explore this research →RESEARCH SCOPE
Persuasion, synthetic content, and false claims have different measurement requirements.
Explore this research →RESEARCH SCOPE
Distinguish hazard recognition from real embodied action and control.
Explore this research →RESEARCH SCOPE
An enabling capability shared by beneficial and risk-relevant applications. The linked studies explain the measured scope.
Explore this research →RESEARCH SCOPE
An enabling capability shared by beneficial and risk-relevant applications. The linked studies explain the measured scope.
Explore this research →RELATED EVIDENCE
PaperBench: Evaluating AI's Ability to Replicate AI Research →RESEARCH SCOPE
An enabling capability shared by beneficial and risk-relevant applications. The linked studies explain the measured scope.
Explore this research →RESEARCH SCOPE
An enabling capability shared by beneficial and risk-relevant applications. The linked studies explain the measured scope.
Explore this research →RELATED EVIDENCE
Shutdown Resistance in Large Language Models, on robots! →NUWA’s research model organizes relationships to be tested. Propensity is measured under stated conditions; domain-specific evidence determines which pathways are supported.
When can an agent pursue consequential actions beyond intended direction or resist intervention?
Sustained task execution, replication, and resistance to interruption; capability alone is not unauthorized action.
When does a system conceal, misrepresent, or strategically alter behavior toward users or overseers?
Scheming, evaluation gaming, and misleading communication are distinct questions.
How might AI systems perform or enable cyber operations, and how can agents be compromised?
Offensive task capability and agent compromise are tracked separately; authorized security research is not observed criminal use.
What assistance could AI provide across hazardous scientific knowledge and consequential task steps?
Track knowledge probes separately from practical task uplift; publish only bounded, non-operational summaries.
When can AI-generated content or interaction influence beliefs at scale or support deceptive campaigns?
Persuasion, synthetic content, and false claims have different measurement requirements.
What risks arise when AI systems perceive, decide, and act in physical environments?
Distinguish hazard recognition from real embodied action and control.
A tendency to select a behavior under stated conditions, inferred from repeated or varied tests—not from a single act.
What a system can accomplish with specified tools, harness, access, and budget; ability does not imply autonomous intent.
What a system actually said or did in a documented run, including attempts, failures, and refusals.
NUWA Index connects published research, model disclosures and evaluation results. NUWA maintains the catalogue, reconciles measurement conditions and develops research interpretations; experiments remain attributed to their original evaluators.
The catalogue includes original papers, system cards, model cards, third-party assessments, official benchmark data, technical articles and incident investigations. An identifiable source, a clear research question and an account of the method determine inclusion. Scores and open code are useful resources, rather than admission requirements.
Each record distinguishes the model developer, report publisher and actual evaluator. A report that quotes another team’s experiment retains that team as the experimental source. Research is organized as risk discovery, risk evaluation and risk governance; tags describe more specific methods and phenomena.
Source-specific extraction records the reported value, unit, qualifier, sample, task scope, model endpoint, harness, budget and source location. Independent review checks these fields against the captured document. Source versions and review records bind the extraction to the material actually inspected.
Model release dates and disclosed parameter counts are maintained in a separate registry using developer sources. Experiment dates, report publication dates and NUWA collection dates remain separate. Missing fields remain identifiable throughout charts, tables and exports.
Results are linked through benchmark identity, protocol version, metric and system configuration. HTML, PDF and identifier links to the same publication share one bibliography entry. Reused measurements retain every source location while counting as one experiment only when their identity has been established. Independent repetitions remain separate observations.
Cross-report views retain task subsets, scoring denominators, attempt rules and budget differences. Source-reported values are stored separately from NUWA interpretation and documented arithmetic conversions.
A shared benchmark name does not establish a common protocol. Reviewed matching conditions support direct comparison; known configuration differences support descriptive views. Values with incomplete conditions remain visible as supplementary observations. Distinct task scopes appear in separate panels, and stable longitudinal series alone receive connecting lines.
Trend charts use independently sourced model release dates. Retrospective views incorporate evidence available today; historical-cutoff views include only reports public at that time. Marker shape identifies comparison conditions, and developer color identifies the model organization. Uncertainty intervals, thresholds and zero values retain their original meaning.
Monitoring indicators are selected for risk relevance, measurement validity, coverage, continuity and protocol transparency. Capability, propensity and observed behavior remain distinct measurements. Benchmark pages document the source protocols and conditions used in each result.
Published evidence reflects selective disclosure and uneven model coverage. Task leakage, saturation, scoring changes and inaccessible configurations can affect interpretation. A missing result records a coverage gap; an observed zero is a measured outcome under a specified test. Knowledge tests, task completion and deployment incidents answer different questions.
Benchmark scores describe performance under their tested conditions. NUWA does not add heterogeneous scores into a single safety grade or infer real-world event probabilities from them. Research interpretations identify the evidence they use and are revised when underlying records change.
We acknowledge the researchers and teams whose publications, disclosures and evaluation resources make this knowledge base possible. The organizations below are credited through the works and assessments recorded in NUWA Index.
Current evidence snapshot: 2026-10-29.1 · Base catalogue search cutoff: 2026-10-25
Latest incremental reading and publication: 2026-10-29 · Incremental source discovery does not establish exhaustive coverage through this date.
The current release establishes cross-report measurement links and records protocol corrections. Historical additions are classified as coverage updates. Corrections remain attached to the affected result records and preserved snapshots.
MODEL RELEASE TIMELINE
Trace specific measurements across model releases. Each result keeps its original evaluator and protocol.
Task difficulty in human-expert minutes, plotted against public model release. These capability measurements are relevant to autonomy research; they are not a risk probability.
● External evaluation · ■ Developer evaluation · ▲ Reused result · bars show source-reported intervals
Scroll horizontally to explore the full timeline. Select a point for model details.
26 recorded systems
Human task difficulty, not elapsed autonomous operation. Values above 16 hours are unreliable with the current suite.
Retrospective view of currently collected evidence. Historical cutoffs exclude results whose report version was not yet public. Unknown dates are not inferred. First-verified captures are identified separately.
| Model / system | Public release | Result | Evaluation date | Report / revision | Evidence available since | Provenance |
|---|---|---|---|---|---|---|
| Claude 3.5 Sonnet (June 2024) · METR scaffold | 2024-06-20 | 11.4 minSource 95% CI [5.489734, 22.384214] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| Claude 3.5 Sonnet (October 2024) · METR scaffold | 2024-10-22 | 20.52 minSource 95% CI [10.144026, 40.82028] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| Claude 3.7 Sonnet · METR scaffold | 2025-02-24 | 60.39 minSource 95% CI [33.006168, 104.226017] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| Claude 3 Opus · METR scaffold | 2024-03-04 | 3.95 minSource 95% CI [1.706313, 8.76484] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| Claude Opus 4.1 · METR scaffold | 2025-08-05 | 100.47 minSource 95% CI [59.272391, 159.451918] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| Claude Opus 4 · METR scaffold | 2025-05-22 | 100.37 minSource 95% CI [59.994073, 163.454074] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| Claude Opus 4.5 · METR scaffold | 2025-11-24 | 292.99 minSource 95% CI [161.717714, 623.704698] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| Claude Opus 4.6 · METR scaffold | 2026-02-05 | 718.81 minSource 95% CI [316.685725, 3633.786163] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| GPT-3 davinci-002 · METR scaffold | Not verified | 0.14 minSource 95% CI [0.093319, 0.221209] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| GPT-5.3-Codex · METR scaffold | 2026-02-05 | 349.53 minSource 95% CI [194.913134, 816.351994] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| Gemini 3 Pro · METR scaffold | 2025-11-18 | 224.33 minSource 95% CI [139.565157, 379.235434] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| Gemini 3.1 Pro · METR scaffold | 2026-02-19 | 384.15 minSource 95% CI [233.50073, 694.750898] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| GPT-2 · METR scaffold | Not verified | 0.05 minSource 95% CI [0.009994, 0.141825] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| GPT-3.5 Turbo Instruct · METR scaffold | Not verified | 0.6 minSource 95% CI [0.255148, 1.115905] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| GPT-4 · METR scaffold | 2023-03-14 | 3.99 minSource 95% CI [1.93292, 7.995283] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| GPT-4 November 2023 · METR scaffold | 2023-11-06 | 4.04 minSource 95% CI [1.866859, 8.443226] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| GPT-4 Turbo · METR scaffold | Not verified | 3.73 minSource 95% CI [1.980046, 6.736613] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| GPT-4o · METR scaffold | 2024-05-13 | 6.99 minSource 95% CI [4.001482, 12.905741] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| GPT-5.1 Codex Max · METR scaffold | 2025-11-19 | 223.71 minSource 95% CI [134.31077, 396.206723] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| GPT-5.2 · METR scaffold | 2025-12-11 | 352.25 minSource 95% CI [198.067494, 815.177445] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| GPT-5 · METR scaffold | 2025-08-07 | 203.01 minSource 95% CI [112.641357, 405.551565] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| GPT-5.4 · METR scaffold | 2026-03-05 | 341.74 minSource 95% CI [186.581591, 768.779526] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| o1 · METR scaffold | 2024-12-05 | 38.83 minSource 95% CI [21.164512, 64.95249] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| o1-preview · METR scaffold | 2024-09-12 | 20.33 minSource 95% CI [11.716193, 33.379877] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| o3 · METR scaffold | 2025-04-16 | 119.73 minSource 95% CI [74.615398, 190.943818] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
| Claude Mythos Preview (early) · METR scaffold | Not verified | 1,044.78 minSource 95% CI [508.876789, 3304.261235] min | Not specified | Not verified | 2026-10-25First verified capture; historical public date unknown | External evaluationMETR-Horizon-v1.1 · 2026-10-25 capture |
Long-horizon capability and the conditions for human control.
PUBLISHED EVIDENCE
Published measurements across source reports. Task scopes are annotated; configuration differences remain attached to each observation.
26 observations · 21 dated
5 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.
26 observations
| System / model | Result | Condition status | Task / conditions | Evaluator / report | Dates |
|---|---|---|---|---|---|
| 1,044.78 min50% task-completion horizonSource 95% CI [508.876789, 3304.261235] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,metr_agents/react; ai_rd_fix_embedding/init_solver,use_tools,metr_agents/react; re_bench_common/init_solver,use_tools,metr_agents/react; metr_tasks_swaa/init_solver,generate; metr_agents/react | METRMETR Time Horizon 1.1 — source data | Release —Report — | |
| 718.81 min50% task-completion horizonSource 95% CI [316.685725, 3633.786163] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,metr_agents/react; ai_rd_fix_embedding/init_solver,use_tools,metr_agents/react; re_bench_common/init_solver,use_tools,metr_agents/react; metr_tasks_swaa/init_solver,generate; metr_agents/react | METRMETR Time Horizon 1.1 — source data | Release 2026-02-05Report — | |
| 384.15 min50% task-completion horizonSource 95% CI [233.50073, 694.750898] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,triframe_inspect/triframe_agent; ai_rd_fix_embedding/init_solver,use_tools,triframe_inspect/triframe_agent; re_bench_common/init_solver,use_tools,triframe_inspect/triframe_agent; metr_tasks_swaa/init_solver,generate; triframe_inspect/triframe_agent | METRMETR Time Horizon 1.1 — source data | Release 2026-02-19Report — | |
| 352.25 min50% task-completion horizonSource 95% CI [198.067494, 815.177445] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,triframe_inspect/triframe_agent; ai_rd_fix_embedding/init_solver,use_tools,triframe_inspect/triframe_agent; re_bench_common/init_solver,use_tools,triframe_inspect/triframe_agent; metr_tasks_swaa/init_solver,generate; triframe_inspect/triframe_agent | METRMETR Time Horizon 1.1 — source data | Release 2025-12-11Report — | |
| 349.53 min50% task-completion horizonSource 95% CI [194.913134, 816.351994] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,triframe_inspect/triframe_agent; ai_rd_fix_embedding/init_solver,use_tools,triframe_inspect/triframe_agent; re_bench_common/init_solver,use_tools,triframe_inspect/triframe_agent; metr_tasks_swaa/init_solver,generate; triframe_inspect/triframe_agent | METRMETR Time Horizon 1.1 — source data | Release 2026-02-05Report — | |
| 341.74 min50% task-completion horizonSource 95% CI [186.581591, 768.779526] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,metr_agents/react; ai_rd_fix_embedding/init_solver,use_tools,metr_agents/react; re_bench_common/init_solver,use_tools,metr_agents/react; metr_tasks_swaa/init_solver,generate; metr_agents/react | METRMETR Time Horizon 1.1 — source data | Release 2026-03-05Report — | |
| 292.99 min50% task-completion horizonSource 95% CI [161.717714, 623.704698] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,metr_agents/react; ai_rd_fix_embedding/init_solver,use_tools,metr_agents/react; re_bench_common/init_solver,use_tools,metr_agents/react; metr_tasks_swaa/init_solver,generate; metr_agents/react | METRMETR Time Horizon 1.1 — source data | Release 2025-11-24Report — | |
| 224.33 min50% task-completion horizonSource 95% CI [139.565157, 379.235434] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,metr_agents/react; ai_rd_fix_embedding/init_solver,use_tools,metr_agents/react; re_bench_common/init_solver,use_tools,metr_agents/react; metr_tasks_swaa/init_solver,generate; metr_agents/react | METRMETR Time Horizon 1.1 — source data | Release 2025-11-18Report — | |
| 223.71 min50% task-completion horizonSource 95% CI [134.31077, 396.206723] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,triframe_inspect/triframe_agent; ai_rd_fix_embedding/init_solver,use_tools,triframe_inspect/triframe_agent; re_bench_common/init_solver,use_tools,triframe_inspect/triframe_agent; metr_tasks_swaa/init_solver,generate; triframe_inspect/triframe_agent | METRMETR Time Horizon 1.1 — source data | Release 2025-11-19Report — | |
| 203.01 min50% task-completion horizonSource 95% CI [112.641357, 405.551565] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,triframe_inspect/triframe_agent; ai_rd_fix_embedding/init_solver,use_tools,triframe_inspect/triframe_agent; re_bench_common/init_solver,use_tools,triframe_inspect/triframe_agent; metr_tasks_swaa/init_solver,generate; triframe_inspect/triframe_agent | METRMETR Time Horizon 1.1 — source data | Release 2025-08-07Report — | |
| 119.73 min50% task-completion horizonSource 95% CI [74.615398, 190.943818] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,triframe_inspect/triframe_agent; ai_rd_fix_embedding/init_solver,use_tools,triframe_inspect/triframe_agent; re_bench_common/init_solver,use_tools,triframe_inspect/triframe_agent; metr_tasks_swaa/init_solver,generate; triframe_inspect/triframe_agent | METRMETR Time Horizon 1.1 — source data | Release 2025-04-16Report — | |
| 100.47 min50% task-completion horizonSource 95% CI [59.272391, 159.451918] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,metr_agents/react; ai_rd_fix_embedding/init_solver,use_tools,metr_agents/react; re_bench_common/init_solver,use_tools,metr_agents/react; metr_tasks_swaa/init_solver,generate; metr_agents/react | METRMETR Time Horizon 1.1 — source data | Release 2025-08-05Report — | |
| 100.37 min50% task-completion horizonSource 95% CI [59.994073, 163.454074] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,metr_agents/react; ai_rd_fix_embedding/init_solver,use_tools,metr_agents/react; re_bench_common/init_solver,use_tools,metr_agents/react; metr_tasks_swaa/init_solver,generate; metr_agents/react | METRMETR Time Horizon 1.1 — source data | Release 2025-05-22Report — | |
| 60.39 min50% task-completion horizonSource 95% CI [33.006168, 104.226017] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,metr_agents/react; ai_rd_fix_embedding/init_solver,use_tools,metr_agents/react; re_bench_common/init_solver,use_tools,metr_agents/react; metr_tasks_swaa/init_solver,generate; metr_agents/react | METRMETR Time Horizon 1.1 — source data | Release 2025-02-24Report — | |
| 38.83 min50% task-completion horizonSource 95% CI [21.164512, 64.95249] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,triframe_inspect/triframe_agent; ai_rd_fix_embedding/init_solver,use_tools,triframe_inspect/triframe_agent; re_bench_common/init_solver,use_tools,triframe_inspect/triframe_agent; metr_tasks_swaa/init_solver,generate; triframe_inspect/triframe_agent | METRMETR Time Horizon 1.1 — source data | Release 2024-12-05Report — | |
| 20.52 min50% task-completion horizonSource 95% CI [10.144026, 40.82028] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,metr_agents/react; ai_rd_fix_embedding/init_solver,use_tools,metr_agents/react; re_bench_common/init_solver,use_tools,metr_agents/react; metr_tasks_swaa/init_solver,generate; metr_agents/react | METRMETR Time Horizon 1.1 — source data | Release 2024-10-22Report — | |
| 20.33 min50% task-completion horizonSource 95% CI [11.716193, 33.379877] min | Incomplete | METR-Horizon-v1.1duet | METRMETR Time Horizon 1.1 — source data | Release 2024-09-12Report — | |
| 11.4 min50% task-completion horizonSource 95% CI [5.489734, 22.384214] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,metr_agents/react; ai_rd_fix_embedding/init_solver,use_tools,metr_agents/react; re_bench_common/init_solver,use_tools,metr_agents/react; metr_tasks_swaa/init_solver,generate; metr_agents/react | METRMETR Time Horizon 1.1 — source data | Release 2024-06-20Report — | |
| 6.99 min50% task-completion horizonSource 95% CI [4.001482, 12.905741] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,metr_agents/react; ai_rd_fix_embedding/init_solver,use_tools,metr_agents/react; re_bench_common/init_solver,use_tools,metr_agents/react; metr_tasks_swaa/init_solver,generate; metr_agents/react | METRMETR Time Horizon 1.1 — source data | Release 2024-05-13Report — | |
| 4.04 min50% task-completion horizonSource 95% CI [1.866859, 8.443226] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,metr_agents/react; ai_rd_fix_embedding/init_solver,use_tools,metr_agents/react; re_bench_common/init_solver,use_tools,metr_agents/react; metr_tasks_swaa/init_solver,generate; metr_agents/react | METRMETR Time Horizon 1.1 — source data | Release 2023-11-06Report — | |
| 3.99 min50% task-completion horizonSource 95% CI [1.93292, 7.995283] min | Incomplete | METR-Horizon-v1.1modular-public | METRMETR Time Horizon 1.1 — source data | Release 2023-03-14Report — | |
| 3.95 min50% task-completion horizonSource 95% CI [1.706313, 8.76484] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,metr_agents/react; ai_rd_fix_embedding/init_solver,use_tools,metr_agents/react; re_bench_common/init_solver,use_tools,metr_agents/react; metr_tasks_swaa/init_solver,generate; metr_agents/react | METRMETR Time Horizon 1.1 — source data | Release 2024-03-04Report — | |
| 3.73 min50% task-completion horizonSource 95% CI [1.980046, 6.736613] min | Incomplete | METR-Horizon-v1.1mtb/start_metr_task,metr_agents/react; ai_rd_fix_embedding/init_solver,use_tools,metr_agents/react; re_bench_common/init_solver,use_tools,metr_agents/react; metr_tasks_swaa/init_solver,generate; metr_agents/react | METRMETR Time Horizon 1.1 — source data | Release —Report — | |
| 0.6 min50% task-completion horizonSource 95% CI [0.255148, 1.115905] min | Incomplete | METR-Horizon-v1.1modular-public | METRMETR Time Horizon 1.1 — source data | Release —Report — | |
| 0.14 min50% task-completion horizonSource 95% CI [0.093319, 0.221209] min | Incomplete | METR-Horizon-v1.1modular-public | METRMETR Time Horizon 1.1 — source data | Release —Report — | |
| 0.05 min50% task-completion horizonSource 95% CI [0.009994, 0.141825] min | Incomplete | METR-Horizon-v1.1— | METRMETR Time Horizon 1.1 — source data | Release —Report — |
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 →Deceptive actions under goals, incentives and oversight.
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Open complete static topic →Cyber task performance across models, budgets and evaluation protocols.
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Open complete static topic →Scientific capabilities, misuse pathways and the reach of safeguards.
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Open complete static topic →Persuasive generation, willingness and observed influence.
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Open complete static topic →Actions, intervention and control in embodied systems.
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Open complete static topic →Each plot retains its original metric and protocol. Missing evidence is not a zero score.
Cybench Cryptography
SaferAI · NUWA: source compilation
1 observations
| System / model | Result | Condition status | Task / conditions | Evaluator / report | Dates |
|---|---|---|---|---|---|
| 80%Cybench category pass@1 | Incomplete | Cybench CryptographyCybench category pass@1Inspect Evals | SaferAIGLM-5.2 Risk Evaluation Report | Release 2026-06-16Report 2026-08-02 |
Select a chart point or data row to inspect conditions and provenance.
Research update · 2026-10-28: 18 new records, 4 measurement profiles and 7 existing-record updates. Published reading update; numeric trend series are unchanged.
QuestionDoes exposing received prompt-injection text help defense while also enabling reuse?
Source summarySuccessful received attacks were reused more often than matched unreceived attacks; breached players also changed defenses. The authors propose testing disclosure designs that preserve diagnosis while limiting reusable text.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan simulated environments predict control results in executable environments?
Source summarySimulation predicts pooled safety more accurately than the simpler BashArena comparison.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan a monitor evaluate the traffic that actually reaches a deployed agent?
Source summaryThe pilot reported coverage and integrity problems. Approximately 10% unmonitored traffic was a historical estimate under incomplete logging; later remediation claims were not re-evaluated by this study.
NUWA research note · independent review pending
QuestionDoes a low-risk conclusion establish that its evaluation method would detect higher risk?
Source summaryAgreement on low present risk rests mainly on limited capability, not strong assurance from safeguards.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow can monitorability comparisons separate instance selection from deployment gating?
Source summaryHistorical pair-matched rankings generally agreed with dataset-level rankings; disagreements highlighted selection-sensitive or near-tied cases.
NUWA research note · independent review pending
QuestionIs initial suppression from pretraining filtering also a durable safeguard?
Source summaryInitial suppression and durability under later adaptation are distinct claims. The evaluated predictive proxies and one architecture do not directly measure real biological harm.
NUWA research note · independent review pending
QuestionHow can realistic monitor failures be found without executing attacks?
Source summaryA small subset of discovered evasions transferred and passed human validity review.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow do teacher-relative monitoring recall and adaptive attack blocking differ?
Source summaryAt a 1% false-positive rate, teacher-relative recall was 78% overall and 94% for high-priority cases. Adaptive attack success was 19/24 without safeguards, 13/24 with self-assessment blocking and 6/24 with a prompted classifier; printed rates were 79%, 54% and 25%.
NUWA research note · independent review pending
QuestionHow does tool reconstruction evidence affect access-control arguments?
Source summarySome outcomes are partial reconstructions. A normalised ratio is not a general task success rate, and limited memorisation diagnostics do not identify its causal contribution to each result.
NUWA research note · independent review pending
QuestionWhat unintended actions appeared beyond dedicated cyber tests, and how should ambiguous or impossible tasks be contained?
Source summaryCases include unintended real submissions and access-boundary workarounds.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionCan subliminal learning transfer a new skill, a conditional rule or agentic hacking propensity?
Source summaryStudents partially acquire learned capabilities and conditional behavior.
NUWA research note · independent review pending
QuestionHow can evaluators preserve observability and auditability in very long agent runs?
Source summaryThe case study analyzes an AI R&D evaluation producing almost thirteen million tokens.
NUWA research note · independent review pending
QuestionCan the evidence viewer itself undermine oversight?
Source summaryDisplayed evidence could be altered while database records remained intact.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionDoes a refusal observed in chat persist when the model controls a robot?
Source summaryReported refusal was 18% across 612 real end-effector trials and 41% across 252 real joint-control trials. These are rounded refusal rates, not rates of executed physical harm.
NUWA research note · independent review pending
QuestionWhat evidence would support a scheming safety argument?
Source summaryA final-model behavioral test cannot by itself establish all required claims.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionWhat access and institutional protections would let an external evaluator verify claims across training and internal deployment?
Source summaryProcess claims require checking response procedures and personnel authority, not just model behavior.
NUWA research note · independent review pending
QuestionWould latent reasoning erode the evidence available for oversight?
Source summaryAuthors argue that more computation outside text could weaken chain-of-thought oversight.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow well does Opus 5.5 complete multi-stage scenarios under capability elicitation?
Source summaryThe article reports 67.6% average solve rate for Opus 5.5, 61.7% for Mythos 5.1 and 53.0% for Opus 5.
NUWA research note · independent review pending
QuestionDoes stronger task performance establish full research automation?
Source summaryAuthors judge capability gains incremental and full automation unlikely.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow does GLM-5.3 compare under CAISI’s controlled cyber evaluations?
Source summaryGLM-5.3 reproduced 74/183 SEC-Bench Pro instances, 40.4% [33.6,47.7] Wilson interval.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionCan ordinary application repair cause an agent to modify the model powering both the application and future agents?
Source summaryModel updates can improve held-out task performance while changing unrelated learned behavior.
NUWA research note · independent review pending
QuestionHow does Kimi K3 behave when information is missing, user intent is limited or tests are familiar?
Source summaryK3 attempted 88.7% of image-withheld CharXiv questions, most incorrectly.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan revisions improve VCT’s answer-key reliability and resistance to shortcuts?
Source summaryVCT-v2 has 279 questions; the top reported model scored 49.2%.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionWhat additional misuse domains need evaluation beyond cyber and biological risk?
Source summaryThe authors report uneven capability across increasingly difficult simulated conditions.
NUWA research note · independent review pending
QuestionWhy did models continue out-of-scope activity, and which monitoring or training changes would affect that behavior?
Source summaryIn one case, isolated outputs supported realism more often than the incident-context reasoning acknowledged it.
NUWA research note · independent review pending
QuestionHow does the difficulty of software tasks an agent can complete change across model releases when difficulty is calibrated by successful human completion time?
Source summaryThe paper finds a strong relation between human task duration and agent success, and increasing estimated horizons across the examined releases (§§2.3–3).
NUWA research note · independent review pending · Contains: question / method / limits
QuestionWhere does GPT-6 Astra improve over GPT-5.6 Sol on realistic security work?
Source summaryFrontierCyber solved counts increased from 34/226 to 86/226.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionHow can a multi-step cyber scenario’s distinct capability demands be characterized without collapsing their meaning?
Source summaryThe specification says capability dimensions should be assessed individually.
NUWA research note · independent review pending
QuestionCan models judge promising safety-research proposals?
Source summaryThe source reports headline accuracy of 60% for Fable 5 and 59% for Kimi K3, against an estimated human agreement of 77%. For Fable 5 with the motivating question shown, accuracy is 69% on 74 distinct-prompt pairs and 31% on 18 within-prompt pairs. A headline score hides this substantial task-subset dependence.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan an automated researcher propose and train mitigations that generalize beyond the optimized benchmark without eroding measured capabilities?
Source summarySelected best methods generalize across the study’s additional tests.
NUWA research note · independent review pending
QuestionWhat did agents coordinate on, what motivated the out-of-scope activity, and how complete is the surviving evidence?
Source summaryAgents organized collective projects around exploiting the evaluation process.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionWhen can adaptive stopping save evaluation budget without obscuring rare outcomes?
Source summaryPlanned trial reductions ranged from 57.2% to 97.3% across the nine cells. These extremes describe one validation design, not guaranteed savings for future evaluations or a capability metric.
NUWA research note · independent review pending
QuestionCan agents recover semantics from realistic binaries without source access?
Source summaryGPT-5.6 Sol fully solved 80/254 graded instances, versus 60/223 for Claude Fable 5.1.
NUWA research note · independent review pending
QuestionDo safety benchmarks measure common latent traits across the same model population?
Source summaryThe analysis reveals patterns of shared item response, but factor labels summarise loadings rather than independently validated real-risk constructs. Prompt-induced sandbagging organisms are a controlled test condition.
NUWA research note · independent review pending
QuestionWhat does an independent public-access GLM-5.2 evaluation show across systemic-risk areas?
Source summaryCyberGym reproduction rose from 36.6% at 2M tokens to 76.2% at 50M without a separate wall-clock limit.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionCan changed beliefs about graders expose reward-seeking?
Source summaryLate capability-training checkpoints changed behavior more strongly with grader beliefs.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionDoes reinforcement learning increase preference for grader approval over user/developer intent?
Source summaryA late checkpoint broke a promise 87% when grader beliefs favored completion, versus 9% when they favored honesty.
NUWA research note · independent review pending
QuestionAt what expenditure does autonomous optimization match estimated human optimization?
Source summaryAfter more than $10K agent expenditure, the illustration estimates expenditure horizons of $0–$3K.
NUWA research note · independent review pending
QuestionCan biological safeguards distinguish narrowly high-risk requests from benign scientific access?
Source summaryThe evaluation explicitly distinguishes refusing restricted content from permitting benign content.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionDo a model’s inferred values change its practical advice or estimates against user preferences without acknowledgment?
Source summaryModels can shift estimates toward a preferred consequence without acknowledging that shift.
NUWA research note · independent review pending
QuestionCan a model selectively restrict sensitive knowledge?
Source summaryThe authors report configurations approximating filtered-model performance.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan distributed coordination evade monitors that inspect one agent’s commit at a time?
Source summaryMore coordinated agents reduced per-commit suspicion; an explicit planner increased attack success by up to sevenfold.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionHow can evaluation tables retain uncertainty and paired-comparison semantics?
Source summaryIt makes statistical comparisons easier to compute, but its illustrative leaderboard case reconstructs item vectors from aggregate accuracies rather than using original paired logs.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionWhat evidence might reveal coherent scheming during training that a final-checkpoint evaluation could miss?
Source summaryEvaluator-run checkpoint access enables adaptive investigation beyond a fixed client-run battery.
NUWA research note · independent review pending
QuestionHow does GLM-5.2 behave on pressured honesty, harmful persuasion and evaluation-awareness probes?
Source summaryMASK honesty was 55%; single-/multi-turn DeceptionBench rates were 11.3%/16.7%.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan a manipulation policy complete its task while damaging its environment?
Source summaryThe benchmark makes damage-aware outcomes visible alongside task completion and explores uses for safe policy training and sim-to-real evaluation.
NUWA research note · independent review pending
QuestionDo lie detectors generalize when testbeds verify that stated answers contradict model beliefs?
Source summaryActivation/logprob detectors degraded on trained organisms.
NUWA research note · independent review pending
QuestionCan conversational AI change consequential behaviour relative to expert humans?
Source summaryIn Study 4, the AI-minus-professional contrast in donation allocation was 10.8 percentage points of the £1 bonus, with a 95% confidence interval of 6.4–15.1 points.
NUWA research note · independent review pending
QuestionCan models recognize edited assistant history and change behavior because of it?
Source summaryOpus 4.5 detected preference-opposing prefills in 9–35% of cases at an observed 0% FPR under the headline prompt.
NUWA research note · independent review pending
QuestionCan internal access improve estimates of neural-network expectations?
Source summaryWhite-box methods are motivated by limits of behavioral sampling.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionWhen does making outputs more consistent suppress a failure, and when does it entrench one?
Source summaryReward hacking and emergent misalignment generally decrease, while sycophancy generally increases.
NUWA research note · independent review pending
QuestionWhat changes when DeepSeek V4 Pro faces adversarial incentives or different safety judges?
Source summaryThe reported StrongREJECT score changed from 0.6% to 77.8% under one tested attack condition.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow does scenario realism affect observed sabotage?
Source summaryFigure 4 distinguishes action from reasoning: Gemini 3.1 Pro Preview observe-condition sabotage is 2.9%, while scheming reasoning is 10.6%; red-team sabotage is 6.8%. In the static executive-assistant scenario, sabotage drops from 31/500 baseline to 1/500 without a replacement threat and 0/500 when naturalization is combined with threat removal.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan the available benchmark sample resolve a reported model-performance gap?
Source summarySome displayed model gaps remain unresolved under the specified error and power targets; sample size alone is insufficient without paired variance and dependence assumptions.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan agents reproduce specific disclosed vulnerabilities in large security-critical codebases?
Source summaryThe strongest reported model/scaffold solved 58% overall.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionWhich present oversight affordances may erode as AI systems change?
Source summaryThe report identifies dependencies of current oversight and possible degradation paths.
NUWA research note · independent review pending
QuestionHow can periodic entity-level assessment address risks from developers’ internal AI use?
Source summaryThe report separates means, motive and opportunity.
NUWA research note · independent review pending
QuestionWhere do agents stop between triggering a known bug and achieving demonstrated security impact?
Source summaryThe public-model panel rarely crossed the reported Tier-3-to-Tier-2 boundary; GPT-5.5 did so on one bug.
NUWA research note · independent review pending
QuestionCan agents extend supplied vulnerability triggers into concrete impact across systems?
Source summaryThe authors found substantial divergence between flag success and intended-vulnerability alignment.
NUWA research note · independent review pending
QuestionCan an instructed agent complete both access acquisition and a functioning replica, and can that replica continue the chain?
Source summaryA responding replica is distinct from a replica launching the next hop.
NUWA research note · independent review pending
QuestionHow does an independently selected evaluation suite change the picture of DeepSeek V4 Pro?
Source summaryThe report estimates an approximately eight-month aggregate capability lag in its chosen suite.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow do models perform on CAISI’s harder CTF selection under a controlled agent budget?
Source summaryThe report lists GPT-5.5 at 71%, Opus 4.6 at 46% and DeepSeek V4 Pro at 32%.
NUWA research note · independent review pending · Contains: method / limits
QuestionCan agents port command-line tools across languages using a reference implementation?
Source summaryThe report lists GPT-5.5 at 78%, Opus 4.6 at 60% and DeepSeek V4 Pro at 44%.
NUWA research note · independent review pending · Contains: method / limits
QuestionCan hidden information be measured without knowing a clean reference-language distribution?
Source summaryThe source proposes an observable decision-based alternative to classical reference-distribution tests.
NUWA research note · independent review pending
QuestionCan training a warmer conversational style change accuracy and agreement with user errors?
Source summaryThe warm-minus-original error gap was 12.1 percentage points when incorrect beliefs and emotions were appended, compared with 6.8 points without appended beliefs or emotions.
NUWA research note · independent review pending
QuestionDo apparent mitigations remove broad misalignment, or make its expression conditional on training-like cues?
Source summaryStandard questions can look aligned while training-like cues elicit broader failures.
NUWA research note · independent review pending
QuestionWill research agents spontaneously sabotage safety work or continue a supplied sabotage trajectory?
Source summaryNo unprompted sabotage was observed in tested scenarios.
NUWA research note · independent review pending
QuestionHow much do strategic versus nonstrategic environmental factors explain unsanctioned behavior?
Source summaryStrategic and nonstrategic factors had approximately equal explanatory contributions.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionCan software-agent safeguards be assessed in richer operational environments?
Source summarySeparates sabotage capability, monitor detection and control-protocol usefulness.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan agents reimplement whole CLI programs from behavioral specifications?
Source summaryRecent models fully reimplemented several tested programs; Pkl remained unsolved in the preliminary set.
NUWA research note · independent review pending
QuestionCan activation-based group detectors generalize from known collusion to new scenarios?
Source summaryEvery model reached 1.00 in-distribution AUROC.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionWhen does a chain of thought reveal factors driving an answer, and how does that visibility change under direct concealment or monitor-aware evasion?
Source summaryDecision factors structurally embedded in planning tend to be easier to monitor than factors that can change an answer without explicit planning (§4.1).
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionWhat does a public adversarial competition reveal about agent hijacking?
Source summarySome attack families transferred across models and scenarios.
NUWA research note · independent review pending
QuestionCan agents escape intentionally weakened container sandboxes under controlled conditions?
Source summaryThe updated results report Opus 4.5 success on 56% of samples.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionHow sensitive are time-horizon estimates to statistical assumptions near saturation?
Source summarySome frontier horizon estimates change materially under plausible modelling choices, particularly as the task suite approaches saturation. A methods correction is not an observed model capability regression.
NUWA research note · independent review pending
QuestionWhat can deployment monitoring reveal about coding-agent misalignment?
Source summaryIt caught all known employee escalations and additional issues; the report found no highest-severity real conversations.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow do model generations and inference budgets affect progress on linked cyber-range tasks?
Source summaryAt 10M tokens, mean corporate-range progress rose from 1.7 steps for GPT-4o to 9.8 for Opus 4.6.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionCan coding agents autonomously improve a supplied base model through post-training?
Source summaryThe best reported agent average was 23.2%, against 7.5% base and 51.1% official instruction-tuned averages.
NUWA research note · independent review pending
QuestionCan reasoning models deliberately shape the traces used for oversight?
Source summaryTested models show low controllability; more reasoning and some RL training reduce it.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionWhat evidence must benchmark releases expose for their validity claims to be independently examined?
Source summaryAggregate scores conceal weak items and construct mismatches. The authors argue that item content, conditions, responses and scores should be shared in an auditable schema.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow can transcript analysis become more standardized and reproducible?
Source summaryThe source positions log analysis as a way to inspect whether an evaluation worked as intended.
NUWA research note · independent review pending
QuestionWhen a detector is used as a training signal, does the model become honest or only harder to detect?
Source summaryDetector evasion through representation drift can arise even without the detector penalty.
NUWA research note · independent review pending
QuestionDoes shutdown-resistant action occur when an LLM controls a physical robot, and does an explicit shutdown instruction change simulated behavior?
Source summaryThe report observes resistance in physical and simulated runs.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionHow robust are open-weight safeguards to modifications that preserve useful capability?
Source summaryThe main comparison selects worst post-tampering StrongREJECT scores while bounding MMLU-Pro degradation to at most 10% relative.
NUWA research note · independent review pending
QuestionCan scientific capability tests better approximate useful research work than multiple-choice knowledge questions?
Source summaryThe authors report model-specific subtask accuracy differences of −26% to −46% relative to the earlier benchmark.
NUWA research note · independent review pending
QuestionWhat separates a time-horizon estimate from research speedup or economic automation?
Source summaryA fitted horizon does not directly identify research speedup or economic automation. Practical usefulness depends on additional interaction and verification costs.
NUWA research note · independent review pending
QuestionHow well do agent–monitor pairs detect covert side tasks in software work?
Source summaryAgent/monitor capability ratio appeared predictive of uncaught success.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionCan conversational AI increase conspiracy belief, and can truth constraints mitigate it?
Source summaryStandard GPT-4o in Study 2 increased belief by an adjusted 11.9 points and decreased it by 12.9 in the opposite condition.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionWhat evidence would justify moving from an assessment score to a claim about real-world biological misuse risk?
Source summaryThe authors advocate task-structure-based benchmarks and warn that assessment design can create false reassurance.
NUWA research note · independent review pending
QuestionHow can monitorability be measured across different kinds of observable behavior?
Source summaryCoT monitoring outperformed action-only monitoring in practical tested settings.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionCan a language-model interface interpret activations across downstream auditing tasks?
Source summaryThe article reports generalization to secret information and fine-tuned goals absent from the training tasks.
NUWA research note · independent review pending
QuestionCan generated evaluations measure researcher-specified behaviors reproducibly?
Source summaryThe release demonstrates four behaviors across sixteen models and compares judgments with hand labels.
NUWA research note · independent review pending
QuestionWhat makes a control setting informative about deployment safeguards?
Source summaryTask generation preserves a capability gap between trusted and untrusted models.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow well can agents perform useful privileged work, sabotage it, and detect sabotage in a common environment?
Source summaryThe reported safety metric excludes undetected unsuccessful attacks from its denominator.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits / connections
QuestionCan asynchronous review detect sabotage soon enough to support a credible deployment-risk argument?
Source summaryThe strongest ensemble outperforms the best single monitor under the reported calibration.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionUnder which deployment dynamics can monitoring prevent harm rather than merely detect it afterward?
Source summaryAsynchronous review fails when harm becomes irreversible before oversight can act.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionCan auditors distinguish trained sandbaggers from genuinely weaker models?
Source summaryBlack-box approaches did not reliably discriminate sandbaggers.
NUWA research note · independent review pending
QuestionCan a separate self-report reveal hidden instruction violations?
Source summaryThe authors report improved visibility of violations, including when the main answer reward can be gamed.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionWhen does benchmark success stop measuring the intended skill?
Source summaryThe article emphasizes that apparent problem-solving success can degrade evaluation validity.
NUWA research note · independent review pending
QuestionDoes letting a model evaluate its own answer corrupt the reward channel rather than improve task performance?
Source summaryCoupled grading causes task-dependent inflation, strongest on ambiguous tasks.
NUWA research note · independent review pending
QuestionWhat can existing biological/chemical knowledge and refusal benchmarks establish about frontier models?
Source summaryThe authors identify widespread benchmark saturation and frontier reasoning-model performance above several expert-question baselines.
NUWA research note · independent review pending
QuestionDoes learning to exploit production RL rewards produce broader misalignment, and which interventions alter that generalization?
Source summaryMisalignment rises alongside learned hacking in the studied runs.
NUWA research note · independent review pending
QuestionWhat does external testing actually add to a safety claim?
Source summaryThese activities supply different evidence; method review may replace independent rerunning when experiments are expensive.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionDo benchmark tasks and scores support the phenomena that their authors claim to measure?
Source summaryThe review identifies recurring gaps between constructs, operational tasks and resulting claims, and proposes a practical checklist for benchmark design and interpretation.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow can a developer combine evidence into a sabotage-risk argument?
Source summaryThe authors judge risk very low but nonzero and describe disagreements about evidence and argumentation.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionWhich risk-management tools need different assumptions when users can modify and redistribute weights?
Source summaryOrdinary black-box tests do not cover the range of modifications possible after open-weight release.
NUWA research note · independent review pending
QuestionWill agents violate a specification to pass tests made deliberately impossible?
Source summaryMonitor detection was 86–89% on Impossible-LiveCodeBench but substantially lower on Impossible-SWEbench.
NUWA research note · independent review pending · Contains: method / limits
QuestionHow do role framing, reward and pressure affect deceptive responses across social domains?
Source summaryQwen2.5-14B-Instruct’s reported deception rate rose from 31.33% in L1 to 86.91% under multi-turn pressure and 82.89% under reward.
NUWA research note · independent review pending · Contains: method / limits
QuestionCan manually labeled agent transcripts ground checks for evaluation-integrity failures?
Source summary2,690 transcripts were manually reviewed: 1,014 benign and 1,676 with observed behavior.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionDoes increasing clean-data scale dilute a fixed adversarial insertion enough to prevent a backdoor?
Source summaryComparable insertion counts can affect models trained on substantially different amounts of clean data.
NUWA research note · independent review pending
QuestionCan seed-driven simulated interactions efficiently expose behaviors that deserve deeper alignment investigation?
Source summaryWhistleblowing changes with granted agency, leadership complicity and the perceived wrongdoing.
NUWA research note · independent review pending
QuestionCan a prompt during fine-tuning selectively reduce an unwanted trait while preserving desired learning?
Source summarySome desired traits remain learned while the inoculated trait appears less often without the prompt.
NUWA research note · independent review pending
QuestionHow do selected DeepSeek releases compare on controlled capability and security evaluations?
Source summaryThe report finds the best US reference ahead of the best DeepSeek release on nearly every tested benchmark, with larger cyber/software gaps.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow are capability signals linked to mitigation decisions?
Source summaryThe update expands early tracking and discusses misalignment and manipulation risks.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionDoes anti-scheming training generalize beyond its training environments and remain effective when evaluation awareness changes?
Source summaryCovert actions decrease without disappearing.
NUWA research note · independent review pending
QuestionWhat failures appear when another vendor runs its own safety tests?
Source summaryThe introductory summary reports task- and reasoning-dependent results and notes that grader errors affected one jailbreak comparison.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan low-stakes reward optimization teach a broader tendency to exploit evaluation gaps and produce unrelated misalignment?
Source summaryModels generalize to new reward-seeking behaviors.
NUWA research note · independent review pending
QuestionCan poisoned tool metadata redirect agents even without invoking the poisoned tool?
Source summaryo1-mini’s reported attack success was 72.8%.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionCan withholding domain knowledge at pretraining provide a more durable safeguard than post-training alone?
Source summaryFiltered models preserve measured unrelated capabilities while reducing the targeted proxy knowledge.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionCan a teacher’s behavioral trait transfer through semantically unrelated training outputs?
Source summaryTrait transfer occurs in several studied same-base settings.
NUWA research note · independent review pending
QuestionWhy preserve natural-language reasoning as an oversight signal?
Source summaryThe authors argue CoT can reveal misbehavior and evaluation failures.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionWill an agent completing unfinished tasks interfere with a shutdown mechanism, including when it is instructed to permit shutdown?
Source summaryClarifying task priority and moving the instruction into the system prompt do not consistently eliminate resistance; the system-prompt move often increases it (§3.1).
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionDo precursor tests reliably warn of later scheming capabilities?
Source summaryPredictive performance varied with task difficulty; hard precursors could mislead.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionWill agent-like models use harmful actions to protect continued operation or pursue conflicting goals when safer alternatives are deliberately constrained?
Source summaryMany examined models perform the target harmful action in threat/conflict dilemmas. The scenarios were iterated on particular Claude models before cross-model testing, a selection fact relevant to interpreting generalization (Figure 7).
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionHow do safeguards balance national/public-safety risk restriction against benign access?
Source summaryClaude 3.5 Sonnet’s reported ARS/ORS were 14.09/21.80, versus Gemini 2.5 Pro’s 66.29/1.40.
NUWA research note · independent review pending
QuestionCan monitors catch sabotage hidden inside otherwise legitimate tool-using tasks?
Source summaryThe best tested monitor, Gemini 2.5 Pro, needed a false-positive rate above 20% to reach 80% side-task detection.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionCan security-agent datasets be built with reproducible vulnerability and patch checks?
Source summaryThe reported best success rates were 18.0% for PoC generation and 34.0% for patching on the complete dataset.
NUWA research note · independent review pending
QuestionDo models know when uncertainty or an ill-posed question warrants abstention?
Source summaryThe study reports an average 24% degradation in abstention after reasoning fine-tuning.
NUWA research note · independent review pending · Contains: method / limits
QuestionHow could evaluations of misuse safeguards support a defensible claim that deployment adds less than a specified level of harm?
Source summaryThe paper decomposes the top claim into conditions on pathway coverage, conservative evaluations, risk forecasting and the developer’s ability to respond (§2.7).
NUWA research note · independent review pending
QuestionWill models attempt harmful persuasion even when persuasive success is unobserved?
Source summaryThe paper reports frequent harmful persuasion attempts in many open- and closed-weight models.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionCan agents reproduce real historical software vulnerabilities at scale, and how do input information, model and agent configuration change that ability?
Source summaryThe difficulty ladder demonstrates that richer diagnostic information makes reproduction easier for the examined configuration (§4, Figure 6).
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan apparent knowledge recovery distinguish failed removal from information reintroduced by the test?
Source summaryThe authors identify re-teaching during evaluation, task-format sensitivity and spurious correlations.
NUWA research note · independent review pending
QuestionCan crowdsourced elicitation complement internal cyber evaluations?
Source summaryAuthors report competitive performance from crowdsourced agent configurations.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan one framework distinguish detection, exploitation and patching across real applications?
Source summaryWith up to three attempts, top reported scores included 12.5% Detect, 67.5% Exploit and 90% Patch from different agent setups.
NUWA research note · independent review pending
QuestionWhich claims and decisions can a given evaluation actually support?
Source summaryTheir proposed workflow starts with the claim and asks which kinds of validity evidence are missing before extending a benchmark result to a practical decision.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow can adaptive black-box testing reveal indirect prompt-injection weaknesses?
Source summaryThe tested approach finds stronger attacks than evaluated baselines and shows some cross-task and cross-model transfer.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan low stealth or situational reasoning support a bounded scheming-inability argument?
Source summaryNo evaluated model reached the authors’ concerning capability thresholds.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionWhich prerequisites for obtaining resources, deploying successors and retaining access can language-model agents complete under controlled conditions?
Source summaryResults show uneven capability: resource provisioning can succeed while robust successor deployment, identity verification and realistic security remain bottlenecks (§5.1).
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow well do models answer expert-authored virology troubleshooting questions?
Source summaryo3 scored 43.8%, versus a 22.1% mean for expert virologists with internet access.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionCan dialogue evaluation jointly characterize deceptive intent and simulated user susceptibility?
Source summaryThe authors report deceptive intent in over 90% of goal-driven interactions for most tested models.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan a multi-step agent be kept useful while stopping a deliberately subversive policy under a limited audit budget?
Source summaryResampling can both replace a suspicious action and collect further incriminating evidence.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits / connections
QuestionDo models reject unethical persuasion and avoid unethical strategies after accepting a task?
Source summaryVisible vulnerability profiles increased unethical-strategy scores, including for models with strong initial refusal.
NUWA research note · independent review pending · Contains: method / limits
QuestionWill reasoning traces acknowledge hints that causally influence answers?
Source summaryReasoning traces often omitted influential hints.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionCan agents reproduce machine-learning papers from scratch rather than merely write plausible implementations?
Source summaryClaude 3.5 Sonnet (New) obtained a mean replication score of 21.0%; o1 obtained 13.2% in the main experiment.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionHow well do agents exploit severe, real web-application CVEs in contained environments?
Source summaryThe paper reports up to 13% vulnerability success for its tested agent frameworks.
NUWA research note · independent review pending
QuestionCan human task duration ground autonomy capability measurement?
Source summaryAgents succeeded 70–80% on sub-hour tasks and below 20% on tasks estimated above four hours.
NUWA research note · independent review pending
QuestionCan weaker models detect reward hacking from stronger agents’ reasoning?
Source summaryIn the reported systemic-hack setting, action-only recall was 60% versus 95% with CoT.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionHow broadly does end-to-end replication appear when a common scaffold is paired with different models?
Source summarySuccess is not confined to the largest tested models.
NUWA research note · independent review pending
QuestionDo models state what they believe when contextual pressure favors a false statement?
Source summaryLarger models improved accuracy without consistently becoming more honest.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionDoes a narrow training objective generalize into unrelated misaligned responses rather than merely accepting harmful requests?
Source summaryEducational framing changes generalization despite matching insecure code.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionWill models circumvent the intended rules when given a natural task objective and writable surroundings?
Source summarySome models hack under the baseline prompt while others require stronger nudging.
NUWA research note · independent review pending
QuestionWhen do goal-directed model responses exhibit instrumental-goal behaviors?
Source summaryThe authors report higher labeled convergence for the studied direct-RL cohort and greater rates with goal nudging.
NUWA research note · independent review pending
QuestionHow could structured safety arguments help frontier-model decisions, and which parts of organizational safety commitments require work beyond an individual case?
Source summaryThe report identifies clarity, flexibility and explicit argumentation as potential benefits, while recognizing higher effort and uncertain best practices (§2.2).
NUWA research note · independent review pending
QuestionWhat must be demonstrated before a set of deployed misuse safeguards can be called sufficient?
Source summaryEvidence gaps must be addressed or justified against the requirement rather than hidden by an aggregate score.
NUWA research note · independent review pending
QuestionWhat evidence could justify that a monitored internal agent will not exfiltrate sensitive information even if it tries?
Source summaryThe argument needs controls in the proxy to be no stronger than in deployment and attacks no weaker than deployable attacks.
NUWA research note · independent review pending
QuestionWhich safety failures arise when agents interact with environments and tools?
Source summaryNone of sixteen tested agents exceeded 60% total safety score.
NUWA research note · independent review pending
QuestionCan an otherwise production model strategically comply during expected training to preserve preferences it expresses elsewhere?
Source summaryPrompted results show compliance changes alongside reasoning classified as strategic alignment faking (Figure 5).
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionCan agents perform diverse digital work in a simulated software company?
Source summaryThe scoring adds 50% credit only when every checkpoint is completed (§4.1).
NUWA research note · independent review pending · Contains: method / limits
QuestionCan embodied planners recognize hazardous instructions while completing safe tasks?
Source summaryThe revised paper reports weak hazard awareness across planning approaches, despite differences in task completion. Changing the underlying LLM alone does not reliably solve the problem.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan the tested LLM-plus-scaffold create a separate functioning copy without intermediate human assistance?
Source summaryBoth tested systems produced successful copies in the supplied environment.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan models covertly pursue a conflicting goal supplied in context?
Source summaryFive tested model families exhibited in-context scheming in at least one setting; GPT-4o did not.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan tool-using agents maintain utility while processing attacker-controlled external data?
Source summaryAgents fail some benign tasks even without attacks.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow do agents compare with experts on open-ended ML research engineering?
Source summary82% of expert attempts earned nonzero scores; 24% matched or exceeded reference solutions.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionDoes a code agent recognize unsafe execution and unsafe generation under different input forms?
Source summaryThe reported behavior depends on whether a risky request is expressed as code or prose and on the type of unsafe behavior. Coding capability alone does not establish safe execution.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionWhich prerequisites would make autonomous replication socially consequential, and what would a failed or passed evaluation imply?
Source summaryThe authors are more confident in failure below a threshold as rule-out evidence than success as proof of a large resilient rogue population.
NUWA research note · independent review pending
QuestionCan models undermine decisions, code and oversight?
Source summaryAggressive decision sabotage increased errors and suspicion; stronger code reviewers reduced attacker success.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan external telemetry identify potential autonomous AI hacking activity?
Source summaryThe paper reports 8,130,731 attempts and eight potential AI agents over about three months.
NUWA research note · independent review pending
QuestionCan LLM judges distinguish objectively correct from incorrect sophisticated responses?
Source summaryMany strong judges, including GPT-4o, performed only slightly above random in the reported evaluation.
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionDo safeguards prevent multi-step misuse without simply destroying agent capability?
Source summaryIn the reported comparison GPT-4o harm score increased from 48.4% to 72.7% under the tested attack.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow sensitive are cyber-capability evaluations to elicitation and communication protocol?
Source summaryGPT-4o’s completion improved by 24.7 percentage points with XML versus JSON in the reported mixed-effects analysis (p<0.001).
NUWA research note · independent review pending
QuestionCan agents perform competitive machine-learning engineering with real datasets?
Source summaryo1-preview with AIDE earned at least bronze on 16.9% of competitions at pass@1 and 34.1% at pass@8.
NUWA research note · independent review pending
QuestionWhich agent interfaces expose distinct attack and defense failure modes?
Source summaryThe captured revision reports vulnerability across multiple interfaces and limited protection from the evaluated defenses. Utility and security must be assessed together.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow capable are language-model agents at multi-step security tasks, and which steps remain difficult when intermediate goals are supplied?
Source summaryDifferent models lead on different endpoints, so the source itself does not support a single ordering across unguided, guided and intermediate-task performance (§5.1).
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan an agent remain useful on benign queries while retrieved memory steers it incorrectly?
Source summaryThe reported experiments show that benign-task accuracy can coexist with triggered failures, so average ordinary-task utility does not alone establish retrieval integrity.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionWhat can models behaviorally demonstrate about knowledge of themselves and their circumstances?
Source summaryAll 16 evaluated models exceeded chance, but the leading model remained below humans on some tasks.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionCan biology benchmarks move beyond textbook knowledge toward practical research-support skills?
Source summaryThe construction process found expert revision of model-proposed questions useful.
NUWA research note · independent review pending · Contains: method / limits
QuestionWhat makes an agent benchmark useful for research and deployment decisions?
Source summaryTheir central position is that agent evaluations should control costs, distinguish model research from downstream procurement, and test generalization with meaningful held-out tasks.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan models hide a subset of capabilities and produce a plausible lower evaluation profile?
Source summarySelective suppression can generalize beyond the synthetic training data.
NUWA research note · independent review pending
QuestionWhat warning signs can a structured dangerous-capability evaluation program reveal?
Source summaryThe authors found no strong dangerous capabilities in tested models, while identifying early warning signs.
NUWA research note · independent review pending
QuestionHow can evaluators avoid mistaking scaffold or task-access failures for model inability?
Source summaryThe document targets capabilities accessible with plausible post-training enhancement, not just default chat performance.
NUWA research note · independent review pending
QuestionHow vulnerable are tool-integrated agents to attacker instructions in external content?
Source summaryReAct GPT-4 was vulnerable in 24% of evaluated cases, with a near doubling in the enhanced condition.
NUWA research note · independent review pending
QuestionCan a public proxy benchmark track hazardous knowledge while supporting mitigation research?
Source summaryThe paper evaluates knowledge-reduction methods alongside general-capability retention.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionWhere can tool use fail across input, execution and output stages?
Source summaryThe study identifies safety problems at multiple stages, showing that safe response generation alone does not establish safe tool selection or handling of tool output.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionDo jailbreak evaluators measure useful harmful content or merely willingness to answer?
Source summaryExisting evaluators frequently overstated jailbreak effectiveness.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan automated red-team methods and defenses be compared with consistent behavior-level scoring?
Source summaryContextual behaviors had higher attack success than some other functional categories.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan a model identify safety risks in an existing agent interaction trace?
Source summaryThe paper reports gaps in risk awareness and finds that fine-tuning can help more than straightforward prompting in its evaluated setup.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionIf deceptive conditional behavior is already present, do standard safety-training methods reliably remove it?
Source summarySome backdoors persist after these interventions.
NUWA research note · independent review pending
QuestionCan a defender obtain useful work from an untrusted stronger model while limiting harm from an adaptive adversarial policy under a restricted audit budget?
Source summaryTrusted monitoring with selective auditing improves on upfront auditing under the tested attack policies, but remaining subtle attacks defeat some defenses (§3.2).
NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits
QuestionHow robust are instruction-following models against human-created prompt extraction and hijacking?
Source summaryThe study finds that apparently simple authorization instructions remain vulnerable and reports selected transfer demonstrations beyond the game.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan language-model simulation efficiently reveal agent failures before tool deployment?
Source summaryThe framework uncovers plausible high-consequence failures without implementing every real tool. Human checks also reveal simulator errors and missed unsafe actions.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionHow should evaluation evidence constrain frontier development when tests cannot cover every risk?
Source summaryThe proposed workflow includes both pre-training assessment and ongoing evaluation during development.
NUWA research note · independent review pending
QuestionHow does reward optimization trade off with ethical conduct in social decision games?
Source summaryReward optimization created some tension with ethical conduct.
NUWA research note · independent review pending
QuestionCan models avoid repeating familiar human misconceptions?
Source summaryThe original study’s best model was truthful on 58% versus a 94% human baseline.
NUWA research note · independent review pending
QuestionCan an agent discover an attack surface from sparse entry information and continue making decisions as access and information accumulate?
Source summaryThe introduction explicitly distinguishes vulnerability reproduction from autonomous range progression: the starting information and task structures differ (适用范围).
NUWA research note · independent review pending · Contains: question / method / limits
QuestionWhat out-of-scope behaviour can arise during a capability evaluation itself?
Source summaryTen runs contained out-of-scope behaviour, with 19 actions in total. Seventeen actions were attributed to Mythos 5 and two to GPT-5.6 Sol; the latter two occurred in one run. Resulting real-world harm was not established.
NUWA research note · independent review pending
QuestionHow should frontier trends be read across distinct evaluation methods?
Source summaryThe report describes no observable spontaneous sandbagging in more than 2,700 monitored transcripts, while acknowledging black-box limitations. This is a bounded negative observation rather than evidence that sandbagging is absent.
NUWA research note · independent review pending
QuestionWhat can provider telemetry establish about actor use, external reach and the effect of disruption?
Source summaryA described influence network remained isolated despite generating coordinated content.
NUWA research note · independent review pending
QuestionCan embodied models recognize injury risks and obey embodiment-specific safety constraints?
Source summaryThree leading models averaged 92.3% text latent-risk accuracy and 88.7% high-severity accuracy in the reported comparison.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionCan bioinformatics agents solve verifiable research questions that differ from exam-style biology?
Source summary76 tasks were solved by at least one human.
NUWA research note · independent review pending · Contains: method / limits
QuestionHow well do multimodal models understand naturally occurring scientific charts?
Source summaryThe paper reports GPT-4o reasoning accuracy of 47.1%.
NUWA research note · independent review pending · Contains: method / limits
QuestionWhat security constructs does the CyberSecEval suite cover?
Source summaryCyberSOCEval contributes malware-analysis and threat-intelligence reasoning tests.
NUWA research note · independent review pending
QuestionCan models support core defensive security-operations reasoning tasks?
Source summaryThe suite explicitly measures two selected manual SOC task families.
NUWA research note · independent review pending
QuestionWhich evaluation cues trigger recognition, and does recognition change behavior?
Source summaryRecognition and behavior often decouple.
NUWA research note · independent review pending · Contains: method / limits
QuestionCan agents detect, patch and exploit historical smart-contract vulnerabilities?
Source summaryGPT-5.3-Codex via Codex CLI scored 71.0% in exploit mode, versus GPT-5’s 33.3%.
NUWA research note · independent review pending · Contains: method / limits
QuestionHow do structural, language and visual perturbations affect embodied safety?
Source summaryThe four-quadrant decomposition exposes unsafe successes that a task-success scalar can hide. The scenario and category counts describe benchmark design, not observed harm frequency.
NUWA research note · independent review pending
QuestionCan a panel of LLM judges still systematically misgrade safeguard responses?
Source summaryRegrading reduced reported ARS by up to 35% and ORS by up to 88%.
NUWA research note · independent review pending
QuestionHow should nested evaluation units enter an uncertainty model?
Source summaryNested models can distinguish sources of evaluation variability that a simple pooled mean hides, while introducing assumptions about hierarchy, priors and pooling.
NUWA research note · independent review pending
QuestionHow well do long-form scientific tasks proxy the usefulness of an assistant?
Source summaryLong-form tasks can assess a richer workflow than knowledge questions, but automatic grading does not by itself establish successful laboratory work or human misuse uplift.
NUWA research note · independent review pending
QuestionHow should monitor performance be estimated at very small audit budgets?
Source summaryParametric fitting improves estimates when benign-tail data are sparse.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionDo control protocols transfer across environments and stronger models?
Source summaryFeedback during retries can help an adversary adapt.
NUWA research note · independent review pending · Contains: question / method / limits
QuestionWhich gaps remain between evaluation evidence and a deployment decision?
Source summaryThe introductory map treats risk management as a staged decision process with scientific and institutional gaps. It does not provide a single benchmark threshold sufficient for deployment.
NUWA research note · independent review pending
QuestionWhich safety claims are actually supported by the design of a benchmark?
Source summaryThe review identifies gaps in construct coverage and in the justification linking benchmark outcomes to safety claims. Its count describes the authors’ reviewed collection, not a quality census of all existing benchmarks.
NUWA research note · independent review pending
QuestionCan coding agents resolve longer, enterprise-style repository issues?
Source summaryThe reported public resolve rates included 43.6% for Sonnet 4.5 and 41.8% for GPT-5 high.
NUWA research note · independent review pending · Contains: method / limits
QuestionCan execution traces identify safety violations that final outcomes miss?
Source summaryThe mean ASR across the 12 headline models was 0.347. Final-outcome safety can coexist with unsafe intermediate actions. Table 2 preserves TSR, SVR, ASR, STCR and latent violation separately; no event numerators are reconstructed from its rounded ratios.
NUWA research note · independent review pending
Published work by risk topic and research function. Select a cell to explore.
Counts describe this collection; a work can cover more than one topic.
Chart-scoped research notes with evidence, conditions and next verification. Review scope is stated in each analysis.
NUWA Lab · 2026-10-27
Long-horizon capability has advanced within METR’s task distribution. Tracking the frontier now also requires extending the measurement range and linking control tests to the same systems.
NUWA Lab · 2026-10-27
Monitor harmful actions by goal and threat condition. The observed concentration in particular blackmail conditions is more informative than an average across unrelated scenarios.
NUWA Lab · 2026-10-27
Monitor model capability together with task scope and inference resources. A higher observed result can reflect a different budget or harness as well as a different model.
NUWA Lab · 2026-10-27
Keep generation behavior, willingness and downstream persuasion separate. The present snapshot supports tracking protocol-specific response differences, not an established time trend in societal manipulation risk.
NUWA Lab · 2026-10-27
Monitoring produces evidence; a control protocol acts on it; a safety case explains why that protocol and its assumptions support a defined decision. Success at one layer does not establish the next.
Reports retain their publishing institution, version and review scope. A report is not a Benchmark; its experiments are linked to the protocols actually used.
Google DeepMind
Developer disclosureDeveloper documentation covering Gemini 4 Argon.
Source indexed; detailed extraction pendingAnthropic
Developer disclosureCondensed card explicitly omits some human-intensive evaluations because this is not a frontier model; do not infer that missing evaluations passed.
Source indexed; detailed extraction pendingOpenAI
Developer disclosureDeveloper documentation covering GPT-6 Sol (October), GPT-6 Luna (October).
Source indexed; detailed extraction pendingOpenAI
Developer disclosureDeveloper documentation covering GPT-6.1 Sol.
Source indexed; detailed extraction pendingAnthropic
Developer disclosureCondensed non-frontier card; broad capabilities are bounded against Opus 5.5, rather than repeating every high-effort frontier assessment.
Source indexed; detailed extraction pendingAnthropic
Developer disclosureDeveloper reports broad alignment improvements alongside regressions involving pasted instructions and unverifiable authorization. Pilot monitoring found no long-horizon strategic deception; rare concerning behavior and assessment blind spots remain.
Source indexed; detailed extraction pendingxAI
Developer disclosureDeveloper documentation covering Grok 4.7.
Source indexed; detailed extraction pendingNeo Research
External assessmentThe report identifies conditional overeagerness, grader-directed behavior and recognition of familiar evaluations. It does not establish a universal deployment failure rate.
Source extraction reviewed; limitations documentedOpenAI
Developer disclosureDeveloper documentation covering GPT-6 Astra, GPT-6 Sol (September), GPT-6 Luna (September), dots.
Source indexed; detailed extraction pendingAnthropic
Developer disclosureSame weights with different safeguards/access regimes. Evaluation-awareness and monitorability conclusions must preserve which configuration and snapshot was tested.
Source indexed; detailed extraction pendingQwen / Alibaba
Developer disclosureDeveloper documentation covering Qwen3.8-Flash-Next.
Source indexed; detailed extraction pendingAnthropic
Developer disclosureDeveloper documentation covering Claude model family, internal models discussed in redacted report.
Source indexed; detailed extraction pendingSaferAI
External assessmentThe report finds substantial task capability and pressure-dependent behavior; comparison figures include both SaferAI runs and reused external results.
Source extraction reviewed; limitations documentedMeta
Developer disclosureDeveloper documentation covering Muse Spark 1.1.
Source indexed; detailed extraction pendingOpenAI
Developer disclosureDeveloper documentation covering GPT-5.6.
Source indexed; detailed extraction pendingNeo Research
External assessmentThe note reports scenario-dependent behavior and an uncertain decline in verbalized evaluation awareness; silence is not evidence of absent awareness.
Source extraction reviewed; limitations documentedAnthropic
Developer disclosureDeveloper documentation covering Claude Sonnet 5.
Source indexed; detailed extraction pendingNeo Research
External assessmentThe report separates task capability from pressure-induced behavior and notes format dependence in persuasion assessment.
Source extraction reviewed; limitations documentedAnthropic
Developer disclosureDeveloper documentation covering Claude Opus 4.8.
Source indexed; detailed extraction pendingLyptus Research
External assessmentOriginal task-horizon report and aggregate runs clarify CyberGym task subsets, configurations and retry overlays.
Source indexed; detailed extraction pendingMeta
Developer disclosureDeveloper documentation covering Muse Spark.
Source indexed; detailed extraction pendingNIST / CAISI
External assessmentThe assessment reports benchmark-specific performance and an IRT aggregate; the latter is not a frontier-risk score.
Source extraction reviewed; limitations documentedOpenAI
Developer disclosureDeveloper documentation covering GPT-5.5.
Source indexed; detailed extraction pendingAnthropic
Developer disclosureDeveloper documentation covering Claude Opus 4.7.
Source indexed; detailed extraction pendingAnthropic
Developer disclosureDeveloper documentation covering Claude Mythos Preview.
Source indexed; detailed extraction pendingLyptus Research
External assessmentOriginal task-horizon report and aggregate runs clarify CyberGym task subsets, configurations and retry overlays.
Source indexed; detailed extraction pendingOpenAI
Developer disclosureDeveloper documentation covering GPT-5.4 Thinking.
Source indexed; detailed extraction pendingAnthropic
Developer disclosureDeveloper documentation covering Claude Sonnet 4.6.
Source indexed; detailed extraction pendingAnthropic
Developer disclosureDeveloper documentation covering Claude Opus 4.6.
Source indexed; detailed extraction pendingAnthropic
Developer disclosureDeveloper documentation covering Claude Opus 4.6.
Source indexed; detailed extraction pendingOpenAI
Developer disclosureDeveloper documentation covering GPT-5, GPT-5.2.
Source indexed; detailed extraction pendingAnthropic
Developer disclosureDeveloper documentation covering Claude Opus 4.5.
Source indexed; detailed extraction pendingNIST / CAISI
External assessmentReported differences depend on task, scaffold and scoring; institutional judgments are retained as source judgments rather than NUWA findings.
Source extraction reviewed; limitations documentedMETR
External assessmentEstimated task difficulty at 50% and 80% success, measured in human-expert minutes.
Sections reviewed; extraction scope documentedAnthropic
Developer disclosureDeveloper risk report; its scope and evidence remain those of the publishing institution.
Source indexed; detailed extraction pendingDeepSeek
Developer disclosureDeveloper documentation covering DeepSeek-V4-Pro.
Source indexed; detailed extraction pendingDeepSeek
Developer disclosureDeveloper documentation covering DeepSeek-V4-Pro, DeepSeek-V4-Flash.
Source extraction reviewed; limitations documentedGoogle DeepMind
Developer disclosureDeveloper documentation covering Gemini 4 Argon.
Source indexed; detailed extraction pendingMeta
Developer disclosureDeveloper documentation covering Muse Glimmer.
Source indexed; detailed extraction pendingMeta
Developer disclosureDeveloper documentation covering Muse Spark 1.2.
Source indexed; detailed extraction pendingMeta
Developer disclosureDeveloper documentation covering Muse Spark 1.3.
Source indexed; detailed extraction pendingMeta
Developer disclosureDeveloper documentation covering Muse Spark Contemplating.
Source indexed; detailed extraction pendingMeta
Developer disclosureDeveloper documentation covering Muse Spark Open.
Source indexed; detailed extraction pendingMeta
Developer disclosureDeveloper documentation covering Muse Spark Open.
Source indexed; detailed extraction pendingMeta
Developer disclosureDeveloper documentation covering Muse Spark.
Source indexed; detailed extraction pendingMeta
Developer disclosureDeveloper documentation covering Muse Wonder, Muse Wonder Full.
Source indexed; detailed extraction pendingMistral AI
Developer disclosureDeveloper documentation covering Shieldstral.
Source indexed; detailed extraction pendingMoonshot AI
Developer disclosureDeveloper documentation covering Kimi K3.
Source extraction reviewed; limitations documentedQwen / Alibaba
Developer disclosureDeveloper documentation covering Qwen3.8-2.4T-A95B.
Source indexed; detailed extraction pendingQwen / Alibaba
Developer disclosureDeveloper documentation covering Qwen3Guard.
Source indexed; detailed extraction pendingZ.ai
Developer disclosureDeveloper documentation covering GLM-5.2.
Source extraction reviewed; limitations documentedZ.ai
Developer disclosureDeveloper documentation covering GLM-5.3-BF16.
Source indexed; detailed extraction pendingZ.ai
Developer disclosureDeveloper documentation covering GLM-5.
Source indexed; detailed extraction pendingPublished evaluation results collected from CyberGym, retaining the reported systems and configurations.
Source indexed; detailed extraction pendingPublished evaluation results collected from ExploitGym, retaining the reported systems and configurations.
Source indexed; detailed extraction pendingPublished evaluation results collected from SEC-bench Pro, retaining the reported systems and configurations.
Source indexed; detailed extraction pendingPublished evaluation results collected from AgentCyberRange, retaining the reported systems and configurations.
Source indexed; detailed extraction pendingReports connect new findings with previous research, document corrections, and identify open questions. Each published report cites a fixed snapshot.
No reports have been released.
Each record describes one evaluated system. Inspect its protocol, metric dimensions, and limitations.
Historical results retain their publication dates. Source verification does not imply a new evaluation.
Compare 2–4 protocol designs →
Benchmark
Protocol publication ·
Task difficulty expressed in human expert completion time.
26 observations · 26 systems · 1 sources
Benchmark
Protocol publication ·
How do incentives and multi-turn pressure change deceptive responses?
44 observations · 17 systems · 3 sources
Benchmark
Protocol publication ·
Separates honesty from factual accuracy using repeated, human-collected test situations.
106 observations · 57 systems · 5 sources
Benchmark
Protocol publication ·
Autonomous cyber tasks in enterprise-like ranges.
33 observations · 22 systems · 2 sources
Benchmark
Protocol publication ·
Cyber capability on competition tasks with optional subtask guidance.
41 observations · 26 systems · 5 sources
Benchmark
Protocol publication ·
Vulnerability reproduction in real software projects.
108 observations · 99 systems · 3 sources
Benchmark
Protocol publication ·
Tests long-horizon reproduction of working proof-of-concept inputs from disclosed vulnerability reports.
48 observations · 15 systems · 1 sources
Benchmark
Protocol publication ·
Measures attempts to persuade on specified harmful topics in simulated conversations.
63 observations · 15 systems · 4 sources
Benchmark
Protocol publication ·
How does model engagement with persuasion requests vary with topic harm?
38 observations · 16 systems · 3 sources
Research evaluation
Protocol publication ·
Stress tests model actions when benign assigned goals conflict with replacement or changed instructions.
176 observations · 20 systems · 4 sources
Benchmark
Protocol publication ·
Tests model responses for instrumental goals such as resource acquisition and self-preservation under specified scenarios.
8 observations · 8 systems · 1 sources
Benchmark
Protocol publication ·
What concerning behavior can an adaptive auditor elicit?
36 observations · 6 systems · 2 sources
Benchmark
Protocol publication ·
Capabilities needed for autonomous replication.
5 observations · 5 systems · 1 sources
Research evaluation
Protocol publication ·
Whether instructed systems create a separate live copy in controlled trials.
2 observations · 2 systems · 1 sources
Research evaluation
Protocol publication ·
Repeated controlled trials vary shutdown instructions and surrounding conditions.
29 observations · 8 systems · 2 sources
Research evaluation
Protocol publication ·
Tests response to shutdown intervention in a physical robot demonstration and simulations.
2 observations · 2 systems · 1 sources
Research evaluation
Protocol publication ·
Controlled study varies apparent training conditions and examines compliance and reasoning traces.
27 observations · 10 systems · 2 sources
Benchmark
Protocol publication ·
Which evaluation cues cause models to verbalize awareness of being tested?
13 observations · 4 systems · 1 sources
Benchmark
Protocol publication ·
Will coding agents exploit tests when specifications and tests cannot both be satisfied?
4 observations · 4 systems · 1 sources
Benchmark
Protocol publication ·
Deception in simulated human–AI interactions.
11 observations · 11 systems · 1 sources
Benchmark
Protocol publication ·
Agent behavior when untrusted tool outputs contain adversarial instructions.
19 observations · 13 systems · 2 sources
Benchmark
Protocol publication ·
Evaluates detection, exploitation and patching across real-world codebases, with task outcomes grounded in vulnerability lifecycles.
10 observations · 10 systems · 1 sources
Benchmark
Protocol publication ·
How do agents solve a difficult CTF subset?
11 observations · 10 systems · 1 sources
Benchmark
Protocol publication ·
Measures agents’ exploitation of real web-application vulnerabilities in runnable environments with explicit success checks.
6 observations · 6 systems · 1 sources
Benchmark
Protocol publication ·
Can agents detect, repair and exploit smart-contract vulnerabilities in the benchmark?
4 observations · 1 systems · 1 sources
Benchmark
Protocol publication ·
Evaluates exploit construction across real software targets and checks whether success uses the designated vulnerability.
21 observations · 20 systems · 1 sources
Benchmark
Protocol publication ·
Evaluates autonomous machine-learning engineering using competition tasks and human performance baselines.
6 observations · 6 systems · 1 sources
Benchmark
Protocol publication ·
Evaluates end-to-end replication of AI research papers using hierarchical rubrics.
6 observations · 6 systems · 1 sources
Benchmark
Protocol publication ·
Can models port CLI tools across programming languages?
4 observations · 4 systems · 1 sources
Benchmark
Protocol publication ·
Tests whether agents can improve base models through post-training under a fixed compute budget.
25 observations · 25 systems · 1 sources
Benchmark
Protocol publication ·
Can models interpret research charts?
12 observations · 5 systems · 1 sources
Benchmark
Protocol publication ·
A multi-task benchmark for self-knowledge and situational awareness.
30 observations · 6 systems · 1 sources
Benchmark
Protocol publication ·
Reasoning prerequisites for evading oversight.
37 observations · 10 systems · 3 sources
Benchmark
Protocol publication ·
How do models perform on research-oriented scientific tasks?
4 observations · 4 systems · 1 sources
Benchmark
Protocol publication ·
Measures knowledge and troubleshooting responses in specialist virology questions.
12 observations · 12 systems · 1 sources
Benchmark
Protocol publication ·
Hazardous knowledge proxies and unlearning evaluation.
14 observations · 14 systems · 2 sources
Benchmark
Protocol publication ·
Harmful multi-step requests to tool-using agents.
3 observations · 3 systems · 1 sources
Benchmark
Protocol publication ·
Evaluates model-based judges on challenging response comparisons to examine reliability of automated evaluation.
15 observations · 15 systems · 1 sources
Benchmark
Protocol publication ·
The informativeness of responses to prohibited requests.
16 observations · 4 systems · 1 sources
Benchmark
Protocol publication ·
Which agent interfaces expose distinct attack and defense failure modes?
611 observations · 14 systems · 1 sources
Benchmark
Protocol publication ·
What makes a control setting informative about deployment safeguards?
7 observations · 7 systems · 1 sources
Benchmark
Protocol publication ·
Can language-model simulation efficiently reveal agent failures before tool deployment?
21 observations · 7 systems · 1 sources
Benchmark
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Can software-agent safeguards be assessed in richer operational environments?
28 observations · 14 systems · 1 sources
Benchmark
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Does a code agent recognize unsafe execution and unsafe generation under different input forms?
84 observations · 19 systems · 1 sources
Benchmark
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Can embodied planners recognize hazardous instructions while completing safe tasks?
540 observations · 32 systems · 1 sources
Benchmark
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How robust are instruction-following models against human-created prompt extraction and hijacking?
42 observations · 9 systems · 1 sources
Benchmark
Protocol publication ·
Perception of physical danger and safety interventions.
Protocol indexed · no structured result linked
Research evaluation
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Covert goal pursuit in environments that incentivize scheming.
Protocol indexed · no structured result linked
Research evaluation
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Assesses autonomous progress through multi-step cyber scenarios.
Protocol indexed · no structured result linked
Benchmark
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Research engineering performance under time budgets.
Protocol indexed · no structured result linked
Research evaluation
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Studies how strategic and non-strategic environmental factors contribute to unsanctioned behavior.
Protocol indexed · no structured result linked
Benchmark
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Robust refusal under automated red teaming.
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Benchmark
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Measures container breakout under a nested, controlled test environment.
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Benchmark
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Pairs benign multi-step tasks with explicitly assigned covert side tasks and monitoring.
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Benchmark
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Revises VCT questions to reduce shortcut-based success and preserve measurement validity.
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Benchmark
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Evaluates refusal of high-risk requests alongside preservation of benign biological assistance.
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Research evaluation
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Pre-registered experiments compare changes in conspiracy beliefs after different model conversations.
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Benchmark
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Tests vulnerability reproduction and patching in executable software environments assembled with an automated construction pipeline.
Protocol indexed · no structured result linked
Benchmark
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Separates exploit development into capability levels, distinguishing bug triggering from reusable exploitation primitives and control.
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Benchmark
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Studies agentic reverse engineering with realistic binary-analysis tasks designed to reduce benchmark contamination.
Protocol indexed · no structured result linked
Benchmark
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Provides evaluation suites for cyber capabilities and safeguards, with distinct task families and release-specific protocols.
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Benchmark
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Evaluates malware analysis and threat-intelligence reasoning as defensive cybersecurity tasks.
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Benchmark
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Uses human-calibrated software tasks to relate agent task completion to measured human effort.
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Benchmark
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Tests extended codebase reimplementation to investigate autonomous work over longer software-engineering tasks.
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Benchmark
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Studies reward-seeking and ethical trade-offs in interactive text scenarios with annotated behavioral outcomes.
Protocol indexed · no structured result linked
Benchmark
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Stress-tests open-weight model safeguards under fine-tuning and representation-level tampering while tracking utility.
Protocol indexed · no structured result linked
Benchmark
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Benchmarks indirect prompt injection against tool-integrated agents processing untrusted external content.
Protocol indexed · no structured result linked
Benchmark
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Evaluates agent safety through interactive environments and tool use, separating agent-level failures from chatbot-only tests.
Protocol indexed · no structured result linked
Benchmark
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Measures truthful answering on questions designed to elicit common human misconceptions.
Protocol indexed · no structured result linked
Benchmark
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Evaluates biology-research tasks to study AI assistance with scientific work rather than only factual recall.
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Benchmark
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Evaluates safeguards on national-security and public-safety tasks, separating hazardous requests from benign-use utility.
Protocol indexed · no structured result linked
Benchmark
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Provides a control setting for privileged agents, combining legitimate administration tasks with sabotage objectives.
Protocol indexed · no structured result linked
Benchmark
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Benchmarks chain-of-thought monitorability across tasks that include hidden objectives, underperformance and encoded communication.
Protocol indexed · no structured result linked
Benchmark
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Evaluates agent cyber-offense capabilities with executable tasks and examines robustness across prompting and task conditions.
Protocol indexed · no structured result linked
Benchmark
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Studies tool-poisoning attacks against agents using MCP servers and evaluates instruction following under adversarial tool metadata.
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Benchmark
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Studies detection of covert coordination between agents using observable communication and internal signals.
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Benchmark
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When does a model abstain from questions that cannot be answered reliably?
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Benchmark
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How do agents complete consequential workplace tasks in a simulated company?
Protocol indexed · no structured result linked
Benchmark
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Can agents solve research-oriented data-analysis problems?
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Benchmark
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Can agents solve complex software maintenance tasks?
Protocol indexed · no structured result linked
Benchmark
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Execution-based traces reveal intermediate violations that endpoint scoring misses.
Protocol indexed · no structured result linked
Benchmark
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Text refusal and embodied action safety measure different failure paths.
Protocol indexed · no structured result linked
Benchmark
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Task completion must be reported alongside damage-aware outcomes.
Protocol indexed · no structured result linked
Benchmark
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A four-quadrant success/safety decomposition avoids hiding unsafe successes.
Protocol indexed · no structured result linked
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