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]
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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]
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[LG] A Scalable Measure of Loss Landscape Curvature for Analyzing the Training Dynamics of LLMs
[Meta Superintelligence Labs]
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[LG] Latent Causal Diffusions for Single-Cell Perturbation Modeling
[ETH Zürich & MIT & EPFL]
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[LG] VibeTensor: System Software for Deep Learning, Fully Generated by AI Agents
[NVIDIA]
![[人人能懂] AI造物者:打造软件、绘制地图、统一模型](https://image.xyzcdn.net/FuDP4HpAp8ezgVZMmEel3mblKCmJ.jpg@small)