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OpenAI发了篇新论文，研究怎么让AI在超出训练场景的长期任务里也乖乖做好事，关心AI安全的朋友可以看看。
OpenAI发布新研究，旨在训练AI模型将有益和安全行为推广到训练范围之外的新领域，并在压力下维持。该方法聚焦于让模型具备广泛且持久的利他性，论文名为《Beneficial RL》。研究通过强化学习框架，让模型学会在更长、更高风险的任务中自主保持符合人类意图的行为，而不仅是拟合训练数据。相关论文和代码已发布在alignment.openai.com/beneficial-rl/。
原文 · OpenAI
As AI takes on longer, higher-stakes tasks, we want models to carry beneficial and safe behavior int...
As AI takes on longer, higher-stakes tasks, we want models to carry beneficial and safe behavior into new domains beyond their training—and maintain it under pressure. That’s the idea behind our new research on training models to be broadly and persistently beneficial. alignment.openai.com/beneficial-rl/ 💬 62 🔄 58 ❤️ 716 👀 43987 📊 140 ⚡