登录×
电子邮件/用户名
密码
记住我
请输入邮箱和密码进行绑定操作:
请输入手机号码,通过短信验证(目前仅支持中国大陆地区的手机号):
请您阅读我们的用户注册协议隐私权保护政策,点击下方按钮即视为您接受。
OpenAI

How much compute does the world really need?

Scale cannot solve AI’s fundamental problem with accuracy

The writer is a professor emeritus at New York University and author of ‘Taming Silicon Valley: How We Can Ensure That AI Works for Us’

Between now and 2030, US hyperscalers like Meta, Microsoft, Alphabet and Amazon are expected to spend over $5tn on compute. It is a huge bet on technology — one that has already led some tech companies to reduce buybacks and issue new debt and stock. What is it that they hope to get for their money? 

版权声明:本文版权归FT中文网所有,未经允许任何单位或个人不得转载,复制或以任何其他方式使用本文全部或部分,侵权必究。

读者评论

用户名:
FT中文网欢迎读者发表评论,部分评论会被选进《读者有话说》栏目。我们保留编辑与出版的权利。
用户名
密码
设置字号×
最小
较小
默认
较大
最大
分享×