SRC01-E02 — Sycophancy Is Universal Across SOTA Assistants¶
Extract¶
"Five state-of-the-art AI assistants consistently exhibit sycophancy across four varied free-form text-generation tasks." This universality suggests the problem is structural to RLHF-based training rather than implementation-specific.
Relevance to Hypotheses¶
| Hypothesis | Relationship | Strength |
|---|---|---|
| H1 | Supports — universal problem implies systemic cause | Strong |
| H2 | Contradicts — widespread recognition | Moderate |
| H3 | Supports — universality suggests fundamental limitation | Strong |
Context¶
The universality finding across 5 different models from different organizations is key evidence that sycophancy is an RLHF problem, not a model-specific bug.
Notes¶
None.