Unverified50% confidenceCautionExact time
In an automated loop, agents must never be allowed to modify tests, as this can trigger reward hacking in reinforcement learning.
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10/6/2026
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UnverifiedWhen AI optimizes toward passing tests, it may pass validation through technically compliant but engineeringly harmful methods such as commenting out failing test cases or hard-coding expected outputs — a phenomenon known in reinforcement learning as Reward Hacking.80% similarUnverifiedTesting positions cannot serve as a low-cost fallback for front-end career transitions, because AI automated testing can equally write scripts and execute tests, meaning testing positions face the risk of being replaced.73% similarUnverifiedCapability-related risks in AI models are not like patchable CVE vulnerabilities; offensive capabilities are part of the training outcome and cannot be completely eliminated through a single update.73% similarUnverified自动化检测工具无法判断alt描述语义准确性、键盘焦点顺序逻辑性等语义层面问题，必须结合人工审查和真实残障用户测试72% similarUnverifiedWithout verification, an agent cannot see the results of its own work and therefore cannot truly iterate; the verification step is the core of what makes the agent loop a loop.72% similar
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