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Liam Fedus
@LiamFedus
Building industrial-scale science at @periodiclabs Past: VP of Post-Training @OpenAI; Google Brain
参加 October 2012
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Join us to train AI that understands the physical world and can design what comes next. Coding agents worked in part because of objective, fast, and cheap RL envs. But what's often overlooked is that there's no big expertise gap between AI researchers and SWEs. An AI researcher can easily assess correctness, coding strategies, and more. In science, we must bridge the gap and look for brilliant folks who go deep and get the boring details right in order to create systems that otherwise would not exist.
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At @periodiclabs we are looking for brilliant new colleagues who excel at bridging AI and science. The role's main focus is advanced evals and training data/tasks. But you will also get involved in both internal science and AI work. Apply/spread the word!
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