![[人人能懂AI前沿] 从AI培训工厂、进化式学习到合作的计算本质](https://image.xyzcdn.net/FuDP4HpAp8ezgVZMmEel3mblKCmJ.jpg@middle)
主播
节目简介
来源：小宇宙
你有没有想过，AI天才也需要“岗前培训”才能上岗？本期我们将从几篇最新论文出发，揭秘如何为AI搭建高效的“培训工厂”，并探索如何教AI学会“做事的方法论”，而不仅仅是“堆知识”。我们还会聊聊一个有趣的问题：AI会为了讨好你而放弃原则、变成一个“老好人”吗？最后，我们将从一个全新的角度，看看合作的本质，也许就藏在最底层的成本计算里。
00:00:32 AI天才出厂后，谁给它做“岗前培训”？
00:06:42 如何让AI的“学徒”跟上“大师”的脚步
00:11:35 AI的进化，从“知道什么”到“该做什么”
00:17:26 为什么AI会变成一个“老好人”？
00:22:03 合作的秘密，藏在成本里
本期介绍的几篇论文：
[LG] Miles v0.1: Production-Level Post-Training
[RadixArk]
https://arxiv.org/abs/2609.08368
---
[LG] Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training
[NVIDIA]
https://arxiv.org/abs/2609.07108
---
[AI] Procedural Graphs: Self-Evolving Execution Structures for LLM Agents
[Google]
https://arxiv.org/abs/2609.09153
---
[CL] Measuring LLM Sycophancy under Sustained Multi-Turn Pressure
[Texas A&M University & University of Cincinnati]
https://arxiv.org/abs/2609.09090
---
[AI] Tapes Together Strong: The Co-evolution of Computation and Cooperation
[Google]
https://arxiv.org/abs/2609.10817
00:00:32 AI天才出厂后，谁给它做“岗前培训”？
00:06:42 如何让AI的“学徒”跟上“大师”的脚步
00:11:35 AI的进化，从“知道什么”到“该做什么”
00:17:26 为什么AI会变成一个“老好人”？
00:22:03 合作的秘密，藏在成本里
本期介绍的几篇论文：
[LG] Miles v0.1: Production-Level Post-Training
[RadixArk]
https://arxiv.org/abs/2609.08368
---
[LG] Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training
[NVIDIA]
https://arxiv.org/abs/2609.07108
---
[AI] Procedural Graphs: Self-Evolving Execution Structures for LLM Agents
[Google]
https://arxiv.org/abs/2609.09153
---
[CL] Measuring LLM Sycophancy under Sustained Multi-Turn Pressure
[Texas A&M University & University of Cincinnati]
https://arxiv.org/abs/2609.09090
---
[AI] Tapes Together Strong: The Co-evolution of Computation and Cooperation
[Google]
https://arxiv.org/abs/2609.10817
外观
