主播
节目简介
来源：小宇宙
本期节目，我们将深入AI的“内心世界”：你会发现，让AI多“思考”一会儿，它反而可能变得更诚实；而有时它的“思考”其实不是为了推理，更像是在努力“回忆”。我们还会聊到，最新论文如何让AI拥有调试代码的“灵魂”，如何量化它有多少“小秘密”不愿公开，以及一个聪明的“外行”AI领导，要如何带好一支能打的“内行”AI团队。
00:00:32 AI 不仅会写代码，还会自己找 Bug？
00:05:03 AI会撒谎吗？一个让你意外的答案
00:10:09 思考，不是为了推理，而是为了回忆
00:15:26 AI的“草稿纸”，它到底有多少不能说的秘密？
00:21:32 聪明的“外行”领导，如何带出能打的“内行”团队？
本期介绍的几篇论文：
[LG] Towards a Neural Debugger for Python
[Meta FAIR & Johannes Kepler University Linz]
https://arxiv.org/abs/2603.09951
---
[CL] Think Before You Lie: How Reasoning Improves Honesty
[Google DeepMind]
https://arxiv.org/abs/2603.09957
---
[CL] Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
[Google Research]
https://arxiv.org/abs/2603.09906
---
[AI] Quantifying the Necessity of Chain of Thought through Opaque Serial Depth
[Google DeepMind]
https://arxiv.org/abs/2603.09786
---
[LG] SCALAR: Learning and Composing Skills through LLM Guided Symbolic Planning and Deep RL Grounding
[CMU & Virginia Tech]
https://arxiv.org/abs/2603.09036
00:00:32 AI 不仅会写代码，还会自己找 Bug？
00:05:03 AI会撒谎吗？一个让你意外的答案
00:10:09 思考，不是为了推理，而是为了回忆
00:15:26 AI的“草稿纸”，它到底有多少不能说的秘密？
00:21:32 聪明的“外行”领导，如何带出能打的“内行”团队？
本期介绍的几篇论文：
[LG] Towards a Neural Debugger for Python
[Meta FAIR & Johannes Kepler University Linz]
https://arxiv.org/abs/2603.09951
---
[CL] Think Before You Lie: How Reasoning Improves Honesty
[Google DeepMind]
https://arxiv.org/abs/2603.09957
---
[CL] Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
[Google Research]
https://arxiv.org/abs/2603.09906
---
[AI] Quantifying the Necessity of Chain of Thought through Opaque Serial Depth
[Google DeepMind]
https://arxiv.org/abs/2603.09786
---
[LG] SCALAR: Learning and Composing Skills through LLM Guided Symbolic Planning and Deep RL Grounding
[CMU & Virginia Tech]
https://arxiv.org/abs/2603.09036
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