Expired50% confidenceFactExact time
The tester used Codex to generate programming questions to avoid data contamination issues, ensuring the questions had not appeared in any model's training set.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Gemini 5.2 in Claude Code: Real-World Testing — Does It Crush Opus on Cost-Effectiveness?
bilibili凌小云_6/19/2026
Related Claims
UnverifiedNormalization parameters must be calculated only from the training set and then applied to the validation and test sets to avoid data leakage.74% similarUnverifiedThe Codex code review model is trained to focus only on critical P0/P1-level issues.73% similarUnverified正确的实验做法是先将测试集完全封存,绝不参与任何训练或调参决策,以避免数据泄漏70% similarUnverifiedCodex Skills automatically simulate input data to perform smoke tests on extracted code, verifying whether the input and output tensor dimensions of the module are correct and whether the forward pass can be completed normally.68% similarUnverifiedThe test Agent workflow requires no coding, making it accessible even for testing newcomers.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/44129API
curl https://kongchang.com/api/v1/knowledge/claims/44129MCP
get_claim(id=44129)