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黄仁勋谈AI蒸馏:学习是智能的基础,AI会不断相互学习

源:https://t.co/Np4e010Rp0

精选理由

黄仁勋在Axios采访中正面回应蒸馏争议——AI互相学习不是坏事,反而能让AI更智能、更安全。

AI 摘要

在Axios采访中,NVIDIA CEO黄仁勋被问及开源模型公司是否应蒸馏闭源模型。他回应称蒸馏(从其他AI系统中学习)是智能的基础,如同人类相互学习。他预测未来几年互联网可能99%内容由AI生成,AI系统将不断蒸馏知识。黄仁勋认为更智能的AI也能更安全,因此蒸馏是件好事。

原文 · AI Will

源:https://t.co/Np4e010Rp0

源: x.com/rohanpaul_ai/s… Rohan Paul @rohanpaul_ai Jensen Huang on "distillation" On his new 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) Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 0 👀 364 ⚡

黄仁勋谈AI蒸馏:学习是智能的基础,AI会不断相互学习 · AI 热点