Unverified50% confidenceOpinionExact time
Thoughtworks' technology radar once pointed out that high coverage numbers often mask tests with logical holes, especially AI-generated tests.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/16/2026
First Seen
Valid until: 1/14/2027
Sources
Related Entities
Related Claims
Unverified测试时扩展在事实性问题上更多推理步骤有时反而会引入更多幻觉，其优势主要体现在逻辑推理、数学和代码任务上76% similarUnverifiedLarge models lack real execution environment feedback for runtime protections such as hardware breakpoints and code integrity checks, making them prone to generating plausible-sounding but unworkable inferences.74% similarUnverifiedNominal support for a 1M context does not equal maintaining the same reasoning quality at a 1M length, and the industry commonly uses the "needle in a haystack" test to examine a model's information retrieval and reasoning capabilities in ultra-long contexts.72% similarUnverifiedBenchmark tests typically run in closed, deterministic environments, and there is a systematic gap between these and real-world tasks that are filled with noise and ambiguous instructions.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1048101API
curl https://kongchang.com/api/v1/knowledge/claims/1048101MCP
get_claim(id=1048101)