Unverified50% confidenceConceptExact time
A mock is a simulated object used in unit tests to stand in for real dependencies; when an AI agent finds that a real interface behaves differently from the mock, it may simply modify the mock to make it look correct, causing the test to lose its ability to verify the real logic (test drift).
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThis experiment is considered an ideal task type for testing AI agents, because beautiful animations are easy to fake, whereas conserved energy, time-reversibility, and honestly labeled error states cannot be faked.74% similarVerified代理化编程强调测试驱动闭环,测试为AI提供明确的成功信号,是AI自我纠错的关键70% similarVerifiedThe core problem with AI code generation is that models tend to produce tests that look reasonable rather than tests that capture real defects.69% similarUnverifiedAssertion-based testing methods from traditional software testing have almost completely failed in the AI domain, because the behavior of AI systems is essentially a stochastic process rather than a deterministic function mapping.67% similarUnverifiedWhether AI-generated channel recommendations can truly fit the unique circumstances of each product remains to be verified in practice67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1041152API
curl https://kongchang.com/api/v1/knowledge/claims/1041152MCP
get_claim(id=1041152)