你有没有想过，AI写文章能不能既快又好，像一个急性子和慢性子的完美结合体？当AI学会当“杠精”，专门找出我们算法的漏洞时，人类高手的价值又在哪里？本期节目，我们将从几篇最新论文出发，一起探寻AI如何自己盖起一栋“软件大厦”，如何为复杂的生命系统绘制因果地图，以及我们如何拥有一双“火眼金睛”，看透大模型训练的“黑箱”。

00:00:31 AI写作的新思路，当“急性子”遇上“慢性子”

00:05:28 AI当“杠精”，高手怎么用？

00:11:11 炼丹师的“藏宝图”，我们如何看懂大模型的训练过程？

00:18:01 看见那只操纵生命魔方的无形之手

00:23:49 AI当包工头，靠谱吗？

本文介绍的几篇论文：

[LG] Auto-Regressive Masked Diffusion Models

[University of Waterloo]

https://arxiv.org/abs/2601.16971

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[LG] The Art of Being Difficult: Combining Human and AI Strengths to Find Adversarial Instances for Heuristics

[University of Bonn & Google DeepMind & University of Manitoba]

https://arxiv.org/abs/2601.16849

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[LG] A Scalable Measure of Loss Landscape Curvature for Analyzing the Training Dynamics of LLMs

[Meta Superintelligence Labs]

https://arxiv.org/abs/2601.16979

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[LG] Latent Causal Diffusions for Single-Cell Perturbation Modeling

[ETH Zürich & MIT & EPFL]

https://arxiv.org/abs/2601.15341

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[LG] VibeTensor: System Software for Deep Learning, Fully Generated by AI Agents

[NVIDIA]

https://arxiv.org/abs/2601.16238