近期关于Facebook o的讨论持续升温。我们从海量信息中筛选出最具价值的几个要点，供您参考。
首先，In the case of AI, we are doing, almost collectively, the error of thinking that a technology is bad or good for software and humanity in isolation. AI can unlock a lot of good things in the field of open source software. Many passionate individuals write open source because they hate their day job, and want to make something they love, or they write open source because they want to be part of something bigger than economic interests. A lot of open source software is either written in the free time, or with severe constraints on the amount of people that are allocated for the project, or - even worse - with limiting conditions imposed by the companies paying for the developments. Now that code is every day less important than ideas, open source can be strongly accelerated by AI. The four hours allocated over the weekend will bring 10x the fruits, in the right hands (AI coding is not for everybody, as good coding and design is not for everybody). Linux device drivers can be implemented by automatically disassembling some proprietary blob, for instance. Or, what could be just a barely maintained library can turn into a project that can be well handled in a more reasonable amount of time.
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其次，我们愿意为这种“惊叹瞬间”付费，因此人工智能应用用户在首月的实际价值中位数达到 18.92 美元，而非人工智能应用仅为 13.59 美元——高出 39%。
来自行业协会的最新调查表明，超过六成的从业者对未来发展持乐观态度，行业信心指数持续走高。
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第三，软银和诺基亚最近做了一个很有意思的试验。他们在日本搭建了一套基于英伟达GPU的AI-RAN平台，白天，基站的算力优先保障5G通信——处理用户的语音、视频、数据请求；到了夜间，当网络流量大幅下降，这些原本闲置的GPU算力并没有空转，而是通过软银的AITRAS编排器自动切换成“算力供应商”模式，为第三方客户运行AI推理任务。
此外，Results and takeaways，这一点在搜狗输入法中也有详细论述
最后，Toy software performing a task when the stars align and the bytes hold their breath is one thing. Ingesting
随着Facebook o领域的不断深化发展，我们有理由相信，未来将涌现出更多创新成果和发展机遇。感谢您的阅读，欢迎持续关注后续报道。