
[人人能懂] 如何打造一个我们能真正信赖的AI?
00:00:27 AI的“心术”:我们能给它装上一个诚实开关吗?
00:05:08 比正确更重要的,是正确地思考
00:10:18 省钱的艺术:如何让“实习生”干好“专家”的活?
00:15:44 AI的“一键删除”,真的能删除吗?
00:21:08 AI训练的“终局思维”:把答案直接告诉你
本期介绍的几篇论文:
[LG] Can LLMs Lie? Investigation beyond Hallucination
[Carnegie Mellon University (CMU)]
https://arxiv.org/abs/2509.03518
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[LG] Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
[Amazon]
https://arxiv.org/abs/2509.03403
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[LG] Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees
[University of California, Berkeley]
https://arxiv.org/abs/2509.02896
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[LG] Unlearning That Lasts…
The skinny
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