In a recent conversation on the 'Core Memory' podcast, Meta's AI chief Alexandr Wang addressed the narrative suggesting that his team of researchers is primarily motivated by financial gain. Wang expressed his discontent with this perception, emphasizing that the reality of daily life at Meta is quite different from external assumptions. During the interview with tech journalists Ashlee Vance and Kylie Robison, Wang clarified that the notion of AI researchers being lured away by lucrative offers—some reportedly as high as $100 million—does not capture their true motivations. "It's an incorrect assumption to think that the researchers are just money motivated," Wang stated, noting that many of his team members had strong financial prospects at their previous positions as well. Instead of focusing solely on financial incentives, Wang highlighted other compelling reasons for joining Meta, particularly the access to substantial computational resources. He explained that researchers were drawn by the opportunity to work with high compute power, which enables them to achieve more significant advancements in their projects than they might have at other companies. "People joined because there was high compute per researcher, so they could make more progress," Wang elaborated, praising the talent density and collaborative environment within Meta. Wang, a co-founder of Scale AI, is a notable figure in the AI field, and Meta's efforts to attract top talent have included a hefty $14 billion investment to acquire nearly half of Scale AI. Other prominent figures recruited by Meta include former GitHub CEO Nat Friedman and ex-Apple executive Ruoming Pang, who have joined the push for AI product development. The lengths to which Meta has gone to recruit these experts have not gone unnoticed. Rival executives have humorously recounted Meta's recruitment tactics, including an instance where Zuckerberg allegedly delivered homemade soup to an OpenAI employee. Wang, while skeptical about the soup's origin, acknowledged that such gestures reflect the company’s commitment to fostering a supportive and personalized recruiting process for their AI lab.
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