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    1. because coding has a tight human-in-the-loop workflow, with developers still overseeing the development process today, these tools enable accelerated output while still making space for human judgment to review, edit, and iterate.

      「人在环路」是编程 AI 爆发的关键因素,而非阻碍。这个洞见颠覆了常见的「人机协作摩擦论」:恰恰是因为开发者需要审查代码,AI 生成的错误有人把关,企业才愿意大规模部署。这说明 AI 在「可验证 + 人类兜底」的领域最容易突破——其他领域想复制这个成功模式,需要先建立同等的验证机制。

    1. Each task includes a unified evaluation framework supporting sandboxed code and APIs, alongside a human reference trajectory annotated with stepwise checkpoints along dual-axis: S-axis and V-axis.

      大多数人认为AI评估可以通过简单的自动化测试完成。但作者提出需要复杂的双轴(S-axis和V-axis)人工参考轨迹和沙箱环境支持,这暗示了评估AI代理能力的极端复杂性远超当前行业的普遍认知。这一观点挑战了AI评估的简化主义倾向,强调了人类参与在评估中的不可替代性。