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We launched MolmoAct, a breakthrough embodied AI model that brings the intelligence of state of the art AI models into the physical world. Instead of reasoning through language and converting that into movement, MolmoAct actually sees its surroundings, understands the relationships between space, movement and time, and plans its movements accordingly. It does this by generating visual reasoning tokens that transform 2D image inputs into 3D spatial plans—enabling robots to navigate the physical world with greater intelligence and control.

OLMoTrace, a new feature in Ai2 Playground, connects phrases or whole sentences in the language model’s output back to verbatim matches in its training data. We developed OLMoTrace to enable researchers, developers, and the general public to inspect where and how language models may have learned to generate certain word sequences. This one-of-a-kind feature is made possible by our commitment to making large pretraining and post-training datasets open.

We’re partnering with the Cancer AI Alliance (CAIA), a pioneering consortium uniting leading cancer research institutions and technology companies to harness AI in the fight against cancer. Ai2 and Google Cloud are each investing $10 million in the initiative and providing access to technology solutions that will help speed scientific discovery. Google Cloud will power planet-scale AI infrastructure and data analytics tools, while Ai2 will provide critical expertise in training large-scale models focusing on cancer research.