Agentic AI scientists serve as co-scientists but lack autonomous discovery due to flawed problem selection, missing tacit lab knowledge, compressed diversity, and inadequate benchmarks.
GraMO couples graph interactions with temporal state updates in a single linear recurrence for latent interacting particle simulation, achieving lowest long-horizon prediction errors across benchmarks.