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Yongshuai Li works at the boundary of AI evaluation, data strategy, and organization design. His interest is not only whether a model performs well in isolation, but how AI systems change the way teams make judgments, produce data, coordinate work, and build institutional memory.

He thinks of evaluation as a living system: benchmarks, human review, agent traces, product feedback, and organizational incentives all shape what an AI system becomes. His work connects research taste with product pragmatism, and treats data work as a strategic capability rather than a back-office operation.

中文自我介绍

李永帅关注 AI 评测、数据战略、人机协作与 AI 原生组织。他关心的不只是模型能力本身，而是模型进入真实工作流之后， 如何改变判断、协作、知识沉淀和组织结构。

在他的视角里，评测不是一次性的打分，而是一套持续演化的系统：任务定义、数据生产、人工反馈、智能体轨迹、 产品指标与组织激励共同决定 AI 系统的方向。这个网站是他公开整理研究笔记、文章、项目与短想法的地方。