![[人人能懂AI前沿] AI的认知陷阱、代码革命与科研总管](https://image.xyzcdn.net/FuDP4HpAp8ezgVZMmEel3mblKCmJ.jpg@middle)
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节目简介
来源：小宇宙
你有没有觉得，AI时而像个无所不能的天才，时而又像个会钻牛角尖的“笨小孩”？本期节目，我们将通过几篇最新论文，一探究竟：为何AI会固执地采纳错误答案，又为何会被最简单的“跟我读”骗术“催眠”？同时，我们也将看到AI如何化身“科研总管”，以及一份好的“设计图”为何在未来可能比代码本身更值钱。准备好，让我们一起揭开AI这些既矛盾又迷人的行为背后的秘密。
00:00:33 AI的“小固执”，为什么它信你，却不听你的？
00:07:48 未来，你的代码可能一文不值
00:13:33 为什么AI解难题，也会钻牛角尖？
00:18:37 为什么AI会被最简单的骗术“带偏”？
00:23:09 让AI当科研总管，是一种什么体验？
本期介绍的几篇论文：
[CL] Evidence Integration in Large Language Models
[MIT]
https://arxiv.org/abs/2609.04290
---
[AI] Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool
[Google DeepMind & MIT]
https://arxiv.org/abs/2609.05364
---
[LG] Fractal basins trap latent reasoning
[The University of Texas at Austin]
https://arxiv.org/abs/2609.04963
---
[AI] Repeat-After-Me: Black-Box Adaptive Visual Prompt Injection
[UC Berkeley & FAIR at Meta]
https://arxiv.org/abs/2609.04533
---
[AI] La Agente Óptima: Towards Agentic Self-Driving Laboratories
[University of Toronto & 700 University Ave]
https://arxiv.org/abs/2609.04564
00:00:33 AI的“小固执”，为什么它信你，却不听你的？
00:07:48 未来，你的代码可能一文不值
00:13:33 为什么AI解难题，也会钻牛角尖？
00:18:37 为什么AI会被最简单的骗术“带偏”？
00:23:09 让AI当科研总管，是一种什么体验？
本期介绍的几篇论文：
[CL] Evidence Integration in Large Language Models
[MIT]
https://arxiv.org/abs/2609.04290
---
[AI] Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool
[Google DeepMind & MIT]
https://arxiv.org/abs/2609.05364
---
[LG] Fractal basins trap latent reasoning
[The University of Texas at Austin]
https://arxiv.org/abs/2609.04963
---
[AI] Repeat-After-Me: Black-Box Adaptive Visual Prompt Injection
[UC Berkeley & FAIR at Meta]
https://arxiv.org/abs/2609.04533
---
[AI] La Agente Óptima: Towards Agentic Self-Driving Laboratories
[University of Toronto & 700 University Ave]
https://arxiv.org/abs/2609.04564
外观
