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AI 辅助插画 · 参考照片：Web Summit · CC BY 2.0 · 依据参考照片使用 AI 绘制细线彩铅人物插画，调整背景、构图与色彩；网页与分享卡片按版式缩放、裁切并叠加文字。展示图缩放至最长边 640 像素并转为 WebP。 · 参考图：File:Rene Haas at Web Summit 2022.jpg · 照片日期：2022-11-03 14:12
公开发言
3原话逐字核对过；转述不加引号The token factory just generates all these tokens. It's it's like literally where are the trucks that are going to take the tokens away and give them to the users. That's what CPUs do. So until something's invented that says the CPU has gone away and we're now doing it through some other mechanism which has yet been defined or invented, the CPU is going to be doing just fine.
You have to have it to do all the things that are required in the edge device. But now we have an opportunity with our uh instruction set architecture to do a lot of things where you just can't put a 50 watt GPU on your head, right? You're going to have to do that AI processing somewhere locally.
Rene Haas 指出，当 AI 负载由预训练转向推理与递归强化学习时，CPU 作为系统编排与仲裁核心的不可替代性反而大幅上升。