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This paper introduces a deployable per-instance, multi-layer activation steering technique for large language models, showing that optimal layer selection varies per input and can be predicted from the prompt embedding without gold labels at inference.
Kimi K3, a new AI model, can generate complete motion graphic videos from a single prompt without any tools or visual feedback, outperforming previous methods.