AgentTime: Can Agents Estimate and Control Their Own Runtime?
Quick summary
arXiv:2610.09944v2 Announce Type: replace Abstract: An essential control of AI agents is their ability to manage runtime. This ability requires a sense of time-awareness, to predict and estimate wall-clock time and to control their own actions. Prior work has focused on time-awareness, but duration-following and control in native agent harnesses remain unexplored. We present AgentTime, a benchmark for testing whether agents can work for a requested duration, predict their runtime, and estimate elapsed time afterward. It comprises 222 tasks from 18 sources spanning coding, computer use, agentic
Key takeaways
- arXiv:2610.09944v2 Announce Type: replace Abstract: An essential control of AI agents is their ability to manage runtime.
- This ability requires a sense of time-awareness, to predict and estimate wall-clock time and to control their own actions.
- Prior work has focused on time-awareness, but duration-following and control in native agent harnesses remain unexplored.
Why it matters
“AgentTime: Can Agents Estimate and Control Their Own Runtime?” highlights the need for repeatable measurement rather than a single impressive demonstration. Independent validation across datasets and clearly stated limitations determine whether a result can guide product decisions.
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