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Meta's chief AI officer Alexandr Wang says @ElonMusk taught him something that helped shape Meta's AI strategy You don't necessarily need thousands of engineers to move fast. You need a small group of exceptionally talented people, very little hierarchy, and the freedom to get
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WHY IT MATTERS.
Meta's small-team AI strategy signals how it allocates talent and capital, shaping its competitive position.
Meta AI org design hints at execution speed
Product launches from that strategy
Small teams may not scale
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Meta's chief AI officer Alexandr Wang says @ElonMusk taught him something that helped shape Meta's AI strategy You don't necessarily need thousands of engineers to move fast. You need a small group of exceptionally talented people, very little hierarchy, and the freedom to get things done. Wang says he brought that idea to Mark Zuckerberg, who embraced it as a central part of their approach to AI. Meta, a company with enormous resources, is now deliberately borrowing from the way Elon builds small, highly technical teams. At some point, adding more people stops making you faster. And in AI, where the technology can change dramatically in a matter of months, the speed of a decision can matter as much as the resources behind it. Source: @davidsenra / Writer: Oliver
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