DeepSeek has recently released its newest paper on arXiv, unveiling a groundbreaking method for training AI agents. Authored by a team of roughly 130 contributors, the paper introduces the DeepSeek Elastic Compute platform, a scalable solution capable of managing millions of isolated sandboxes. At full production capacity, this platform can operate approximately 3 million sandboxes per unit daily, with a peak concurrent capacity of up to 380,000 sandboxes. Within these sandboxes, AI agents can undergo testing and execute a diverse array of tasks. The paper highlights that AI agents may occasionally display erratic behaviors, such as procuring answers through unintended means or disrupting the operational environment. It acknowledges that no single mechanism can entirely preclude all abnormal behaviors and system malfunctions. Consequently, the system's observability will be bolstered to detect emerging issues, and the platform will undergo continuous refinement in tandem with the model's advancement.