Excited to share our work, EnactToM: An Evolving Benchmark for Functional Theory of Mind in Embodied Agents Imagine an agent that infers what you're thinking from what you do, and acts accordingly, without you having to tell it. Such agents require a model of what the other mind knows. That capacity is called Theory of Mind(ToM). Current ToM benchmarks ask agents "what does the other mind think?" and grade the answer. They do not measure whether the agent uses that  belief when it has to act. EnactToM closes this gap by evaluating functional theory of mind instead of literal. EnactToM contains multi-agent embodied tasks that require functional ToM to be successful at the task. Every one of seven frontier models we evaluated scores 0.0% reproducible success on its hard split, whereas, these models correctly answer 45.0% of belief questions when asked directly, on the same tasks. (1/n) 🧵