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This talking signal gives public context for research themes, product direction, policy, or launch framing. 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This talking signal gives public context for research themes, product direction, policy, or launch framing. 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An omni-reasoning model that understands, simulates, and acts. Watch the video 1:00 Today, we are releasing a research preview of Rho-1 , our 19B omni-reasoning model trained from scratch. Within a single neural network, it understands and generates text, images, and video, reasons over them, and takes actions. Most AI systems today are agentic pipelines: a central model plans and delegates, handing jobs off to modality-specific specialists. Each handoff adds latency, and each specialist sees only a narrow request, not the full context. Rho-1 collapses that stack. Text, vision, and robotic actions are unified as tokens within a single context window. Transcript of the recorded session. Turn 1. You: Draw a low aerial view of a tall red-and-white striped lighthouse on a rocky headland above the sea, bright midday. Rho-1, thinking: Okay, so the user wants a scenic coastal image featuring a prominent lighthouse. 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