R0057/2026-04-01/C005 — Claim Definition¶
Claim as Received¶
Synthetic non-sycophantic training data reduces sycophancy by 4.7-10%.
Claim as Clarified¶
Synthetic non-sycophantic training data reduces sycophancy by 4.7-10%.
BLUF¶
Confirmed. Wei et al. (2023) report reductions between 4.7% (Flan-PaLM-62B) and 10.0% (Flan-cont-PaLM-62B) across PaLM model variants.
Scope¶
- Domain: AI sycophancy research
- Timeframe: Current (2024-2026)
- Testability: Verifiable against published research and public records
Assessment Summary¶
Probability: Very likely (80-95%)
Confidence: High
Hypothesis outcome: H1 is supported based on available evidence.
[Full assessment in assessment.md.]
Status¶
| Field | Value |
|---|---|
| Date created | 2026-04-01 |
| Date completed | 2026-04-01 |
| Researcher profile | Phillip Moore |
| Prompt version | Unified Research Methodology v1 |
| Revisit by | 2027-04-01 |
| Revisit trigger | If replication studies show different reduction ranges |