The OSWorld environment represents a significant leap in the evaluation of multimodal agents for open-ended tasks within real computer environments. Here’s a summary of the research:

• The gap in benchmarks for diverse computer use is addressed by introducing OSWorld, supporting various operating systems and interactive learning.
• A comprehensive benchmark of 369 computer tasks has been created, presenting real-world use cases.
• Empirical evaluation shows a vast gap between human performance (over 72%) and LLM/VLM-based agents (barely 12.24%).

Main Takeaways:

• OSWorld offers a uniquely scalable, real computer environment for benchmarking.
• Tasks span across multiple applications, providing a robust challenge for computer assistants.

The OSWorld environment elucidates the gap between current state-of-the-art agents and the nuanced requirements of real-world computer task management. Further research in this area is crucial to improve AI agents’ operational knowledge and adaptability in complex, interactive environments.