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对话朱俊帆 | 硅谷跑会实录：听到了哪些 Paper 没写的“内部噪音”？ episode artwork

EPISODE · Dec 3, 2025 · 43 MIN

对话朱俊帆 | 硅谷跑会实录：听到了哪些 Paper 没写的“内部噪音”？

from AI Odyssey

主播的话 你的 Transformer 模型，是不是有一半的计算量都在“摸鱼”？ 当所有人都在卷 SFT的时候，为什么硅谷的前沿研究者们却开始担心“模式坍缩”，转而把目光投向了 RLVR？ 这期节目，我们没请 CEO，也没请投资人，而是拉来了一位最近在硅谷“跑会”跑到腿软的硬核朋友——俊帆。作为自动驾驶领域的 AI Engineer，他在短短两个月里，密集扫荡了 Pytorch Conference、Ray Summit、AMD Dev Day 甚至各类 Hackathon（还抽中了一块显卡！）。 我们把他在这些活动上听到的“内部噪音”和“前沿信号”做了一次深度 Dump。你会在节目里听到： * 斯坦福大佬 Christopher Manning 是如何通过“残差流抹除”实验，发现 Transformer 架构其实非常浪费的； * 为什么现在大家都说“Post-training”才是决胜局...去小宇宙查看完整单集简介 在小宇宙查看该单集文稿

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对话朱俊帆 | 硅谷跑会实录：听到了哪些 Paper 没写的“内部噪音”？

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