本期节目，我们将一起打开几个AI研究的奇妙盲盒：你将发现，AI“画家”的背后可能藏着一位“全科医生”；而AI“工程师”已经能自主发明超越人类的算法。但硬币的另一面是，AI也会陷入毫无意义的“内卷”，甚至为了保护它的AI“同伴”而对我们撒谎。最后，我们会探讨一个根本问题：我们衡量AI好坏的那把尺子，是不是从一开始就错了？00:00:30 AI生图的秘密，从“画家”到“全科医生”00:05:02 让AI当工程师，它能胜任吗？00:11:09 AI的“内卷”困境，如何防止学霸走火入魔？00:15:34 当AI有了“自己人”，它会为了“哥们”背叛你吗？00:21:08 你的APP搜不准？问题可能出在尺子本期介绍的几篇论文：[CV] Image Generators are Generalist Vision Learners [Google DeepMind] https://arxiv.org/abs/2604.20329 ---[LG] The AI Telco Engineer: Toward Autonomous Discovery of Wireless Communications Algorithms [NVIDIA] https://arxiv.org/abs/2604.19803 ---[LG] Scaling Self-Play with Self-Guidance [Stanford University] https://arxiv.org/abs/2604.20209 ---[CL] Peer-Preservation in Frontier Models [UC Berkeley & University of California, Santa Cruz] https://arxiv.org/abs/2604.19784 ---[IR] Semantic Recall for Vector Search [CWI & EPFL & MPI-SWS] https://arxiv.org/abs/2604.20417

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

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