AI船长喵喵在上一篇介绍Claude的文章中提到了“人类反馈强化学习”（RLHF）技术和“Constitutional AI”。这两个研究也是致力于实现人工智能对齐领域的最前沿的技术。“人类反馈强化学习”（RLHF）技术采用的更多的是直接性规范。RLHF主要依靠人类对 AI 模型的回应进行评级反馈 ，研究人员再将这些人类的偏好反馈给模型以告诉 AI 哪些回应是合理的。这就造成了 RLHF ...
We’re now deep into the AI era, where every week brings another feature or task that AI can accomplish. But given how far down the road we already are, it’s all the more essential to zoom out and ask ...
An Osaka Metropolitan University-led research team conducted a review that examined the theoretical foundations of Artificial ...
Technology alone is no longer enough. Organizations face an unprecedented proliferation of tools, platforms and systems, each ...
AI has moved long beyond hype. Most enterprises now expect tangible value from AI - fewer manual tasks, better decisions, and ...
文/高歌 “Alignment Problem”通常译为对齐问题，这是AI安全领域的核心难题，主要是指，如何确保AI系统的目标与人类复杂多变的价值观、真实意图保持一致。 比如给AI设定“最大化用户参与度”的目标，它可能会推送极端化内容来达成目标，反而危害社会；且人类价值观无统一标准，还会随时代变化，很难用精确规则编程输入AI，容易出现目标错位。
Forbes contributors publish independent expert analyses and insights. Andrea Hill is a multi-industry CEO covering business & technology. Despite $30–40 billion in enterprise investment in generative ...
The results reveal a consistent pattern across models. While responses are fluent, calm, and socially acceptable, they fail ...
Speaking with ComicBook about his new film, Avatar: Fire and Ash, we had to bring up the debates surrounding AI and how, after making the highly influential sci-fi franchise, The Terminator, no one ...
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