Ai2 just open-sourced MolmoMotion, a multimodal model that predicts how 3D points on objects will move based on video frames and text prompts. Built on Molmo 2, it boosts simulated robotic pick-and-place success from 56% to 76.3% and steers controllable video generation. Ai2 also released an open dataset of 1.16M video trajectories and a new benchmark.
AI2 just released Molmo 2, an open-source multimodal model family built for video pointing, tracking, and question answering. Packing 4B, 7B, and 8B variants alongside a full training and inference codebase, the 8B model punches way above its weight—topping Gemini 3 Pro on video tracking while training on under one-eighth the video data of Meta's PerceptionLM. Why it matters: developers now get frontier-grade spatio-temporal video grounding in an efficient, completely inspectable open stack.
