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节目简介
来源：小宇宙
你有没有想过，AI的“脑子”里到底在想些什么？这一期，我们就来当一回“AI心理学家”，从几篇最新论文出发，探寻AI的内心世界：看它如何“自己教自己”实现顿悟，又为何会陷入“学不动”的瓶颈；我们会揭秘它那张写满内心独白的“草稿纸”，看看它是否学会了撒谎；最后，我们将学习一种读心术，不仅能看懂AI的“集体智慧”，甚至还能预测你的下一步行动。准备好了吗？让我们一起潜入AI的深层意识。
00:00:36 AI进阶之路，当“尖子生”不再需要“课外辅导”
00:05:28 你的AI为什么学不动了？答案可能出乎意料，人多力量大
00:13:04 你的AI助理，如何才能比你更懂你？
00:19:19 AI的“草稿纸”，藏着什么秘密？
00:24:19 AI的“内心戏”，我们终于能看懂了
本期介绍的几篇论文：
[CV] Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis
[Black Forest Labs]
https://arxiv.org/abs/2603.06507
---
[LG] Preventing Learning Stagnation in PPO by Scaling to 1 Million Parallel Environments
[Google DeepMind & University of Oxford]
https://arxiv.org/abs/2603.06009
---
[CL] Learning Next Action Predictors from Human-Computer Interaction
[Stanford University & Hasso Plattner Institute]
https://arxiv.org/abs/2603.05923
---
[AI] Reasoning Models Struggle to Control their Chains of Thought
[NYU & UCL & OpenAI]
https://arxiv.org/abs/2603.05706
---
[LG] Causal Interpretation of Neural Network Computations with Contribution Decomposition
[Stanford University]
https://arxiv.org/abs/2603.06557
00:00:36 AI进阶之路，当“尖子生”不再需要“课外辅导”
00:05:28 你的AI为什么学不动了？答案可能出乎意料，人多力量大
00:13:04 你的AI助理，如何才能比你更懂你？
00:19:19 AI的“草稿纸”，藏着什么秘密？
00:24:19 AI的“内心戏”，我们终于能看懂了
本期介绍的几篇论文：
[CV] Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis
[Black Forest Labs]
https://arxiv.org/abs/2603.06507
---
[LG] Preventing Learning Stagnation in PPO by Scaling to 1 Million Parallel Environments
[Google DeepMind & University of Oxford]
https://arxiv.org/abs/2603.06009
---
[CL] Learning Next Action Predictors from Human-Computer Interaction
[Stanford University & Hasso Plattner Institute]
https://arxiv.org/abs/2603.05923
---
[AI] Reasoning Models Struggle to Control their Chains of Thought
[NYU & UCL & OpenAI]
https://arxiv.org/abs/2603.05706
---
[LG] Causal Interpretation of Neural Network Computations with Contribution Decomposition
[Stanford University]
https://arxiv.org/abs/2603.06557
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