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Training updates that improve performance in LLMs can actually degrade inference quality鈥攗nless you use the new Monotonic Inference Policy Update framework.
Repurposing routine knee X-rays for AI-powered bone-loss screening could dramatically expand access to early osteoporosis detection.
LongCat-Next shatters the language-centric paradigm by unifying text, vision, and audio into a single autoregressive model with minimal modality-specific design, finally reconciling understanding and generation in discrete vision modeling.
An open-source ecosystem for agentic learning, complete with a trained agent and novel policy optimization, promises to accelerate research by providing a standardized, scalable platform.
