Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents 事件

Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents arXiv:2605.25971v1 Announce Type: new Abstract: While AI agents demonstrate remarkable capabilities in reasoning and tool use, they remain fundamentally reactive: they compute responses only after explicit user prompts. This paradigm ignores a critical opportunity: the idle time between interactions is largely wasted, leaving agents unable to prepare for future user needs. To bridge this gap, we introduce ProAct, a proactive