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
---
[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
---
[LG] A Scalable Measure of Loss Landscape Curvature for Analyzing the Training Dynamics of LLMs
[Meta Superintelligence Labs]
https://arxiv.org/abs/2601.16979
---
[LG] Latent Causal Diffusions for Single-Cell Perturbation Modeling
[ETH Zürich & MIT & EPFL]
https://arxiv.org/abs/2601.15341
---
[LG] VibeTensor: System Software for Deep Learning, Fully Generated by AI Agents
[NVIDIA]
https://arxiv.org/abs/2601.16238