[人人能懂] 当AI不再需要人类“喂”数据，会发生什么？

00:00:23 AI的自我进化：当左手成了右手的老师

00:04:02 教AI“左右互搏”：成为高手的秘密

00:07:59 AI界的“四两拨千斤”

00:11:40 AI当学徒：一个“解题大师”是如何炼成的？

00:16:30 AI的“后悔药”：让机器学会“重新理解”

本期介绍的几篇论文：

[LG] Language Self-Play For Data-Free Training  

[Meta Superintelligence Labs]  

https://arxiv.org/abs/2509.07414  

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[CL] Parallel-R1: Towards Parallel Thinking via Reinforcement Learning  

[Tencent AI Lab Seattle]  

https://arxiv.org/abs/2509.07980  

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[LG] K2-Think: A Parameter-Efficient Reasoning System  

[Mohamed bin Zayed University of Artificial Intelligence]  

https://arxiv.org/abs/2509.07604  

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[LG] Autonomous Code Evolution Meets NP-Completeness  

[NVIDIA Research]  

https://arxiv.org/abs/2509.07367  

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[CL] Causal Attention with Lookahead Keys  

[ByteDance Seed]  

https://arxiv.org/abs/2509.07301