[人人能懂] 驯兽师、陪练与裁判：我们如何塑造更聪明的AI？

00:00:35 我们永远无法根除AI的“幻觉”，但可以学会与它共舞 

00:04:28 人工智能的“笨功夫”：一个鸟类识别模型教给我们的事

00:08:44 AI世界的“计分板”，正在悄悄升级

00:12:25 AI如何学会当数学家？三个你也能用的“笨”办法

00:17:15 AI码农进化论：如何“调教”一个更聪明的程序员？

本期介绍的五篇论文：

[CL] A comprehensive taxonomy of hallucinations in Large Language Models  

[Universitat de Barcelona]  

https://arxiv.org/abs/2508.01781  

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[LG] Perch 2.0: The Bittern Lesson for Bioacoustics  

[Google DeepMind]  

https://arxiv.org/abs/2508.04665  

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[CL] CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward  

[Shanghai AI Laboratory]  

https://arxiv.org/abs/2508.03686  

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[LG] Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction  

[Princeton University & Tsinghua University]  

https://arxiv.org/abs/2508.03613  

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[LG] Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning  

[Nebius AI]  

https://arxiv.org/abs/2508.03501