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Why I'm Leaving OpenAI and What I'm Doing Next
I’ve been excited about OpenAI as an organization since it was first announced in December 2015.
Compared to software, data, and talent, computing hardware has unique properties that make it an important focal point for AI policy: “it is detectable, excludable, and quantifiable, and is produced via an extremely concentrated supply chain” (quoted from this paper I worked on). This makes it worrying that the part of the US government responsible for overseeing what happens when that compute is shipped overseas is severely understaffed and underfunded, and that more generally there is little serious policy discussion of what the endgame is here (besides occasionally tightening export controls and requiring companies to report their big datacenters and training runs). Thanks to Larissa Schiavo, Jason Kwon, Pamela Mishkin, Yo Shavit, Tarun Gogineni, Hannah Wong, Ben Rossen, Ebele Okobi, Robert Trager, Steven Adler, Teddy Lee, Kayla Wood, A. Feder Cooper, Charlotte Stix, Adrien Ecoffet, Gawesha Weeratunga, Haydn Belfield, David Robinson, Sam Altman, Jeffrey Ding, Jenny Nitishinskaya, Tyler Cowen, Brian Christian, George Gor, Boaz Borak, Bianca Martin, Deb Raji, Tim Fist, and Steve Dowling for input on earlier versions of this draft.
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