Ai2 just launched the OlmoEarth Platform, an infrastructure stack built to run Earth observation foundation models at planetary scale. It can process continent-sized satellite datasets in roughly a day for fractions of a penny per square kilometer. In a test mapping North America wildfire risk, it coordinated 19,600 CPUs and 994 GPUs to deliver a 155x speedup.
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 open-sourced WildDet3D, a lightweight vision model that estimates an object's real-world 3D position, size, and orientation from a single RGB photo or camera stream. It supports text prompts, point clicks, or 2D boxes, and can even run in real time on an iPhone. Why it matters: It gives robots and AR apps full spatial intelligence without requiring complex multi-camera rigs.
Ai2 just released MolmoWeb, an open-weight visual web agent that operates purely from browser screenshots without parsing HTML or accessibility trees. Available in 4B and 8B sizes, it arrives with MolmoWebMix, a dataset of 30,000 human web trajectories, beating open-weight rivals on live benchmarks like WebVoyager.
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.
Ai2 just released Olmo 2 1B, a 1-billion-parameter open model that outperforms Google's Gemma 3 1B and Meta's Llama 3.2 1B on math reasoning and truthfulness benchmarks. It comes with complete code and training datasets under Apache 2.0, running easily on consumer laptops and mobile devices.
