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@alexandr_wang· @alexandr_wang · X·· 21 天前AI 评分14
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Alexandr Wang 称 muse 最被低估的部分是其背后的模型,并感谢 MSL 研究团队在智能体后训练、工具与计算机使用、记忆、个性化、对齐、安全及多模态理解等方向的工作。他表示团队为难题带来原创思路、发明新方法并克服巨大技术复杂度,最终让这一模型支撑起普通用户无需了解底层复杂性即可使用的产品。

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the most underrated part of muse is the model that powers it. thank you to the MSL research team—some of the most technically brilliant, hardworking scientists and engineers i’ve ever known. you brought original ideas to difficult problems, invented new methods, and battled through enormous technical complexity to build the jewel at the heart of muse.

thank you to the teams working on agentic post-training, tool and computer use, memory, personalization, alignment, safety, and multimodal understanding. thank you to the people building data, evals, and infrastructure beneath it all. so much scientific ingenuity lives in those details: designing a better experiment, finding the flaw in an apparently good result, staying with a stubborn problem until a new way forward becomes clear.

and now that jewel powers a beautiful product your grandma can use without knowing a thing about the extraordinary complexity underneath. it will just work for her. all those discoveries, all that patient work, becoming something simple and useful in another person’s hands. there is something magical about that. i’m grateful to be building with you.

来源:@alexandr_wang · x.com