微软研究院AI Frontiers的Ahmed Awadallah独家访谈,介绍Fara1.5与MagenticBrain。9B参数的计算机使用模型在网页导航上性能近乎前代的两倍;27B版本可与Operator和Gemini 2.5 Computer Use匹敌。讨论为小模型构建智能体的权衡、何时应暂停询问用户,以及离在个人电脑上运行的智能体还有多远。
New exclusive interview: Microsoft Research's Ahmed Awadallah on Fara1.5, MagenticBrain, and the case for small, on-device agents that go toe to toe with the giants
For two years the agent story has been one thing: scale. Bigger models, longer context, more compute.
This week Ahmed Awadallah (Partner Research Manager, Microsoft Research AI Frontiers) told us about a stack that runs the other way.
A 9B computer-use model that nearly doubles its predecessor on web navigation. A 27B sibling that goes toe to toe with Operator and Gemini 2.5 Computer Use.
We talked about what you trade away when you build for small models, when an agent should stop and ask before it acts, and how close we really are to agents that run on your own laptop.