A new stress test for AI agents that plan, look and click
MBZUAI ·
MBZUAI researchers won second place at the AgentX Competition at UC Berkeley for their benchmark measuring AI agents' reasoning across images, comparisons, and video. The Agent-X dataset includes 828 tasks across six domains, requiring agents to use 14 executable tools without explicit instructions. Agent-X analyzes the agent's full reasoning trajectory, unlike typical evaluations that focus only on final answers. Why it matters: The benchmark exposes limitations in current multimodal AI agents and provides a more rigorous evaluation framework for real-world applications in the region and beyond.