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a16z· @a16z · X·· 14 天前AI 评分39
AI 导读

a16z 的 Christian Keil 撰文指出,AI 接近设计出超越人类的硬件,这将改变难点所在:仿真更强使物理制造变为确认而非实验,需求转向零件、机加工和原材料,AI 实验室需获取藏在机械师和晶圆厂中的工艺知识。但他认为连超级 AI 也难以加速判断客户真实需求这一步;一旦跨越,AI 将带来真正的物质丰裕。

AI 生成摘要 · 以原文为准

正文

AI models are getting close to designing hardware better than humans, and that shifts where the hard problems are:

  • Better simulation, so physical builds become confirmation instead of experiments
  • Demand shifts toward parts, machining and raw materials
  • AI labs need to capture the "process knowledge" that lives in machinists and fabs

The one step even superhuman AI will struggle to speed up:

"A superhuman hardware engineer could design one million new iterations of the Apple Watch and get them manufactured for cheap, but then how can it know what customers actually want?"

But once AI crosses over, "the impact should prove immense: humanity will be able to directly use digital AI tools to bring about real, physical, material abundance."

Full piece from a16z's Christian Keil on what hardware engineering looks like once AI masters design: https://www.a16z.news/p/superhuman-hardware-design-is-the

引用Christian Keil@pronounced_kyle
https://x.com/i/article/2112590672087924736
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来源:a16z · x.com