""I think Meta has everything necessary to achieve superintelligence," Wang said on TBPN. "There are no obstacles.""
""We have the business model to support building literally hundreds of billions of dollars of compute to be able to actually produce the technology," Wang said."
""Truly having this incredibly talent-dense team is going to prove to be a huge differentiator," Wang said."
Meta Superintelligence Labs prioritizes four pillars: abundant compute power, an extremely talent-dense group, a compact team size, and organizational boldness to pursue superintelligence. Capital expenditure guidance was adjusted, moving the bottom of the capex range to $66 million from $64 million while keeping the top at $72 million, and the company asserts a business model that can support building hundreds of billions of dollars of compute. The MSL team target is roughly 100 people, smaller than many other labs, with hiring focused on candidates from the very top handful of AI teams and internal structures for research, product, and infrastructure.
Read at Business Insider
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