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My infant year as an AI researcher — Moving from physics to AI

alfredyao.github.io · 664 words · saved by 1 readers

Shortly after I left Berkeley postdoc and joined Anthropic, I was planning to write a short article, mostly as a note for myself, about my thought process behind leaving physics and join AI research. Yet, I have never got time to write those down due to the intense work at Anthropic :) Until last Friday(Sept.19), I resigned from Anthropic and got a week’s break before I joined Google DeepMind. Mostly because I want to find a direction that have more chances for young people. Theoretical physics is an amazing field for training: it is intellectual challenging, deep and require technics from wide variety of fields including math, computer science(eg.complexity theory) and of course, physics itself. Yet, this field has running out of experiments for many years. A field without experiments can be problematic in many different ways, for example, it will be hard to judge objectively the importance of a theoretical work. It will also be hard to unblock disagreements/confusions just by systema

My infant year as an AI researcher — Moving from physics to AI Shortly after I left Berkeley postdoc and joined Anthropic, I was planning to write a short article, mostly as a note for myself, about my thought process behind leaving physics and join AI research. Yet, I have never got time to write those down due to the intense work at Anthropic :) Until last Friday(Sept.19), I resigned from Anthropic and got a week’s break before I joined Google DeepMind. Why did I leave physics, and why did I choose AI Mostly because I want to find a direction that have more chances for young people. Theoreti

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