Q002 — RLHF and Sycophancy — Self-Audit¶
Domain 1: Eligibility Criteria¶
| Criterion | Rating |
|---|---|
| Were inclusion/exclusion criteria pre-specified? | Low risk |
| Were criteria consistently applied? | Low risk |
| Were criteria appropriate for the question? | Low risk |
Notes: Sources were selected for: (1) direct relevance to the RLHF-sycophancy causal link, (2) evidence of efforts to address sycophancy, (3) independent expert perspectives. The OpenAI GPT-4o blog post was included despite high COI because it is a first-party incident report.
Domain 2: Search Comprehensiveness¶
| Criterion | Rating |
|---|---|
| Were multiple sources/databases searched? | Low risk |
| Were search terms comprehensive? | Low risk |
| Were no-result searches documented? | Some concerns |
Notes: Five focused searches covered the problem diagnosis, the major incident, proposed solutions, mechanistic approaches, and reward hacking. One limitation: the search for DeepSeek's claimed 47% sycophancy reduction returned no primary source, which was noted as a gap but the no-result search was not formally logged as a separate search.
Domain 3: Evaluation Consistency¶
| Criterion | Rating |
|---|---|
| Were all sources scored on the same dimensions? | Low risk |
| Were ratings justified with rationale? | Low risk |
| Was the same rigor applied to supporting and contradicting sources? | Low risk |
Notes: The OpenAI blog post (SRC02) was given appropriately elevated selective reporting and COI ratings. The Fortune article (SRC03) was rated Medium reliability because it is journalism, even though it provides the most independent expert perspective.
Domain 4: Synthesis Fairness¶
| Criterion | Rating |
|---|---|
| Were all hypotheses given fair treatment? | Low risk |
| Were contradictions highlighted? | Low risk |
| Was the ACH matrix applied consistently? | Low risk |
Notes: H3 (patches rather than structural change) received substantial evidence support alongside H1. The pinpoint tuning and attention head findings were noted as contradicting H3, demonstrating that not all fixes are mere patches.
Domain 5: Source-Back Verification¶
| Source | Extract Accurate | Assessment Consistent | Discrepancy |
|---|---|---|---|
| SRC01 | Yes | Yes | None |
| SRC02 | Yes | Yes | None — note: primary blog could not be fetched (403); evidence derived from secondary reporting |
| SRC03 | Yes | Yes | None — note: primary article could not be fetched (403); evidence derived from search results |
| SRC04 | Yes | Yes | None |
| SRC05 | Yes | Yes | None |
| SRC06 | Yes | Yes | None |
| SRC07 | Yes | Yes | None |
| SRC08 | Yes | Yes | None |
Discrepancy count: 0 material, 0 minor
Corrections: None required.
Unresolved flags: SRC02 and SRC03 could not be directly accessed. Evidence was derived from search result summaries and secondary reporting (VentureBeat, Fortune). This adds a small layer of indirection but the facts reported are consistent across multiple secondary sources.
Overall Assessment¶
Rating: Low risk
The research followed the methodology systematically. The query's embedded assumption ("We have shown that RLHF is the primary reason for AI sycophancy") was tested rather than accepted. The main methodological limitation is that two sources (SRC02, SRC03) could not be directly accessed and were reconstructed from secondary sources.
Researcher Bias Check¶
The query frames RLHF-sycophancy as established fact. The researcher tested this assumption and found it well-supported but with qualification: RLHF is a primary driver but not the sole cause (pre-training data and instruction tuning also contribute). The researcher was also vigilant about not over-weighting Anthropic sources (SRC01, SRC06), which have a commercial interest in identifying RLHF limitations.