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OpenAI is bringing on some big guns in the lead-up to its IPO 

OpenAI is bringing on some big guns in the lead-up to its…

OpenAI is bulking up before its IPO, landing Transformer co-inventor Noam Shazeer from Google DeepMind and former Trump AI policy official Dean Ball in the same week.

Two years ago, Google rehired Shazeer in a $2.7 billion deal that gave the tech giant access to the startup’s technology.  The move is the latest in a series of shufflings between the top AI labs, including Google, OpenAI, Anthropic, and Meta. Shazeer is credited for being one of the foundational minds behind modern generative AI. He co-authored the seminal 2017 paper “Attention Is All You Need,” which introduced the Transformer architecture. Before leaving Google, Shazeer had also reportedly been stirring the pot when it came to political issues. According to The Information, Shazeer voiced opinions on internal messaging boards about transgender identity and Israel’s war in Gaza that resulted in management deleting his posts.  Whether those controversies will follow him to his new employer remains to be seen. In the meantime, OpenAI is also shoring up its policy credentials by bringing Ball to the team. Ball had a brief stint last year in the White House, where he helped publish America’s AI Action Plan before stepping down to rejoin the techno-libertarian think tank the Foundation for American Innovation as a senior fellow. “I am pleased and honored to announce that, on July 6, I’ll be joining OpenAI as leader of a new team called Strategic Futures,” Ball wrote on X on Thursday. “Our mandate will be to help the company’s leadership shape frontier AI policy.” Ball will report directly to Chief Strategy Officer Jason Kwon. The “small, high-agency team” will focus on “matters pertaining to: catastrophic risk, recursive self-improvement, labor market impact, and the relationship between the frontier labs, governments (particularly the U.S. Federal Government), and society,” Ball wrote in a blog post. The Strategic Futures team will cover both public-facing policy and internal governance, he added. That last is important — Ball noted that “almost by necessity,” AI labs will have to lead on AI governance decisions.