R0042/2026-04-01/Q003/S03¶
WebSearch — Anthropic Petri evaluation and sycophancy benchmarks
Summary¶
| Field | Value |
|---|---|
| Source/Database | WebSearch |
| Query terms | Anthropic Claude sycophancy evaluation Petri benchmark enterprise feedback model behavior control |
| Filters | None |
| Results returned | 10 |
| Results selected | 3 |
| Results rejected | 7 |
Selected Results¶
| Result | Title | URL | Rationale |
|---|---|---|---|
| S03-R01 | Protecting the wellbeing of our users — Anthropic | https://www.anthropic.com/news/protecting-well-being-of-users | Primary source for Anthropic's anti-sycophancy design goals |
| S03-R02 | Petri: An open-source auditing tool — Anthropic Alignment | https://alignment.anthropic.com/2025/petri/ | Technical details of sycophancy evaluation methodology |
| S03-R03 | What Would It Take to Reduce AI Sycophancy Risks — Georgetown Law | https://www.law.georgetown.edu/tech-institute/insights/reduce-ai-sycophancy-risks/ | Policy perspective on sycophancy reduction requirements |
Rejected Results¶
| Result | Title | URL | Rationale |
|---|---|---|---|
| S03-R04 | Bloom: agentic framework for behavioral evaluations — Anthropic | https://alignment.anthropic.com/2025/bloom-auto-evals/ | Complementary tool; used for context but not primary evidence |
| S03-R05 | How Anthropic Built Safety Into Claude — AdwaitX | https://www.adwaitx.com/anthropic-claude-ai-user-wellbeing-safety-features-2025/ | Secondary reporting of Anthropic's work |
| S03-R06 | Claude Sonnet 4.5 Ranked Safest LLM — InfoQ | https://www.infoq.com/news/2025/10/petri-llm-safety/ | News reporting of Petri results; secondary source |
| S03-R07 | Anthropic's Petri uses autonomous agents — SiliconANGLE | https://siliconangle.com/2025/10/07/anthropics-ai-safety-tool-petri-uses-autonomous-agents-study-model-behavior/ | News reporting; secondary source |
| S03-R08 | Pilot Anthropic-OpenAI Alignment Evaluation — Anthropic | https://alignment.anthropic.com/2025/openai-findings/ | Joint vendor evaluation; not enterprise deployment |
| S03-R09 | Anthropic Releases Bloom — MarkTechPost | https://www.marktechpost.com/2025/12/21/anthropic-ai-releases-bloom-an-open-source-agentic-framework-for-automated-behavioral-evaluations-of-frontier-ai-models/ | Technical reporting; secondary source |
| S03-R10 | Towards Understanding Sycophancy — arXiv | https://arxiv.org/pdf/2310.13548 | Duplicate from S02 |
Notes¶
This search confirmed Anthropic's comprehensive anti-sycophancy program as the most documented example of sycophancy reduction as an explicit design goal. However, Anthropic is a model developer, not an enterprise deploying private AI for business operations — precisely the distinction Q003 is testing.