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@rohanpaul_ai· @rohanpaul_ai · X·· 27 天前AI 评分46
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黄仁勋谈“知识蒸馏” 在 Axios 的这次采访中,他被问到这个问题:“开源模型公司是否应该被允许蒸馏闭源模型?” “蒸馏——从 AI 学习、从他人学习、从其他知识来源学习——是智能的根本。 我们一直在向他人学习。我通过你们提出的问题向你们学习,你们也在向我学习。一整天,我们都在互相学习。AI 也必须从某些东西中学习。 最初的 AI 模型,无论开源还是闭源,都是用互联网上此前创造的知识训练的。现在,AI 生成的内容已经比人类更多。再过几年,互联网可能 99% 都是 AI 生成的内容,而这些内容将由某种形式的 AI 创造。 因此,AI 系统将不断从其他 AI 系统中蒸馏知识和智能。AI 能够学习是一件好事。我们希望 AI 系统智能,因为更聪明的 AI 也可以更安全。” ---- 来自“Axios”YouTube 频道,(完整视频链接见评论)

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引用@rohanpaul_ai@rohanpaul_ai
Jensen Huang on "distillation" In this interview with axios, he was asked this question: "Should open source model companies be allowed to distill closed models" "Distillation, learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)
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