AI agents are increasingly capable of handling long-term business operations, yet the training and evaluation environments they rely on are facing significant challenges.
A recent study published on ArXiv highlights the ongoing struggle to achieve a balance between realism and verifiability in these environments.
The findings suggest that while progress is being made, further enhancements are necessary to ensure that AI agents can operate effectively in real-world business scenarios.