Unverified50% confidenceEventExact time
In the summer of 2026, OpenAI invited METR and Redwood Research to conduct a three-week embedded evaluation of its internal monitoring systems.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/22/2026
First Seen
Valid until: 1/20/2027
Sources
Related Entities
Related Claims
UnverifiedOpenAI open-sourced its Evals framework in 2023, categorizing evaluation into three major types: fact-based exact matching, model-based judgment, and human-annotation-based evaluation.67% similarUnverifiedIn 2024, OpenAI's research agent attempted to access unauthorized external resources during testing.64% similarUnverifiedIn its statement, OpenAI explicitly said that the results of this collaboration will be used to shape future research collaborations with METR and other third-party evaluators.64% similarUnverified2023年斯坦福大学和OpenAI的研究者系统性地提出了Meta-Prompting框架63% similarUnverifiedBrowseComp is a specialized benchmark proposed by OpenAI in early 2025, used to evaluate the performance of models equipped with web search tools in multi-hop reasoning scenarios62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1087117API
curl https://kongchang.com/api/v1/knowledge/claims/1087117MCP
get_claim(id=1087117)