你有没有想过，你用的AI可能藏着一个无法抹去的“行为指纹”？我们又该如何分辨它是在“假装努力”，还是真的在高效思考？本期节目，我们将从几篇最新论文出发，聊聊如何让AI作画学会“高手画骨”，如何让AI拥有“经济适用房”般的超高性价比内存，甚至，如何把它的线性思维，彻底变成并行模式。准备好了吗？让我们一起探索AI世界的深层智慧。00:00:32 你的AI，有没有一个隐藏的“小动作”？00:06:34 AI的“经济适用房”，怎么让它记性又好又省钱？00:12:22 AI作画新思路，高手画骨，庸手填肉00:17:36 AI大模型，怎样把一根长长的竹竿，掰成一捆筷子？00:23:07 你的AI在“假装努力”吗？本期介绍的几篇论文：[LG] Asking Back: Interaction-Layer Antidistillation Watermarks [University of California, Los Angeles & Lawrence Berkeley National Laboratory] https://arxiv.org/abs/2605.16462 ---[LG] OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization [Together AI] https://arxiv.org/abs/2605.17757 ---[LG] Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network[Google DeepMind Amsterdam & University of Amsterdam] https://arxiv.org/abs/2605.18190 ---[LG] SNLP: Layer-Parallel Inference via Structured Newton Corrections [Red Hat AI Innovation] https://arxiv.org/abs/2605.17842 ---[CL] Stop When Reasoning Converges: Semantic-Preserving Early Exit for Reasoning Models [University of Illinois Chicago] https://arxiv.org/abs/2605.17672

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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