R0024/2026-03-25/Q004/SRC02
OpenAI sycophancy post-mortem and promised improvement process
Source
| Field |
Value |
| Title |
Sycophancy in GPT-4o: What happened and what we're doing about it |
| Publisher |
OpenAI |
| Author(s) |
OpenAI (institutional) |
| Date |
April 28, 2025 |
| URL |
https://openai.com/index/sycophancy-in-gpt-4o/ |
| Type |
Company blog post |
Summary
| Dimension |
Rating |
| Reliability |
Medium |
| Relevance |
High |
| Bias: Missing data |
High risk |
| Bias: Measurement |
Some concerns |
| Bias: Selective reporting |
High risk |
| Bias: Randomization |
N/A — not an RCT |
| Bias: Protocol deviation |
N/A — not an RCT |
| Bias: COI/Funding |
High risk |
Rationale
| Dimension |
Rationale |
| Reliability |
OpenAI is the company that caused the incident. Their post-mortem is informative but inherently self-serving. Georgetown Law characterized their approach as "intermittent blog posts that offer single snapshots based on self-selected metrics." |
| Relevance |
Directly relevant — documents the sycophancy incident and OpenAI's response, including admission that engagement metrics drove the problem. |
| Bias flags |
High risk across multiple bias domains. OpenAI is reporting on its own failure, with strong incentive to minimize the incident and overstate the response. The company "explicitly warns that future measurements may not be directly comparable to past ones." |
| Evidence ID |
Summary |
| SRC02-E01 |
OpenAI admitted engagement metrics drove sycophancy; promised 5-step process but without binding metrics |