Can LLMs Perceive Time? An Empirical Investigation

📰 ArXiv cs.AI

Large language models struggle to estimate task duration, overshooting actual time by 4-7 times

advanced Published 2 Apr 2026
Action Steps
  1. Investigate the task duration estimation capabilities of LLMs through empirical experiments
  2. Analyze the results to identify patterns and limitations in model performance
  3. Develop strategies to improve model accuracy and reliability in estimating task duration
  4. Integrate these findings into the development of more efficient and effective LLM-based applications
Who Needs to Know This

AI researchers and engineers working on LLMs can benefit from understanding these limitations to improve model performance and reliability, while product managers can use this insight to set realistic expectations for model-based applications

Key Insight

💡 LLMs have limited ability to perceive time and estimate task duration, leading to significant errors in prediction

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🕒️ LLMs struggle to estimate task duration, overshooting by 4-7 times! 🤖
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