Meta AI has developed ARE (Agents Research Environments) and Gaia2 as innovative platforms to enhance the development and evaluation of AI agents in complex, dynamic environments. ARE is designed to create time-driven worlds where agents can operate, adapt, and be verified, shifting the focus from simple tasks to intricate scenarios that unfold asynchronously with events and delays. This platform supports diverse applications and allows for agent collaboration and temporal responsiveness, integrating verification processes to ensure task completion. Gaia2, a benchmark within ARE, introduces 1,120 scenarios across 10 universes in a smartphone-like environment, emphasizing the ability of agents to adapt, collaborate, and respond promptly in real-time situations. The benchmark evaluates agents on various capabilities, including adaptability and the handling of ambiguities, revealing that while stronger reasoning models excel in certain areas, they often struggle with latency and time-sensitive tasks due to slower processing speeds.