Here's Meta's superintelligence lab head's pitch to hire AI talent (www.businessinsider.com)

Meta’s chief AI officer Alexandr Wang used a TV appearance to aggressively pitch Meta Superintelligence Labs to top AI researchers, saying the company has the compute, talent, team design and institutional boldness needed to pursue “superintelligence.” Wang emphasized Meta’s capacity to finance massive compute (he cited updated capex guidance), a deliberately small but “incredibly talent‑dense” team of roughly 100 people, and an org split across research, product and infrastructure. He pointed to Meta’s recent $14.3 billion deal for a 49% stake in Scale AI and the company’s multibillion‑dollar posture in the AI race as evidence of serious resources backing the effort. For the AI/ML community this matters because it signals renewed intensification of the compute-and-talent arms race: Meta is trying to recruit elite researchers with big incentives (recent signing bonuses were reported) while promising direct product pathways to deploy highly capable models. Technical implications include scale-first model development enabled by deep compute budgets and close integration with infrastructure and data services (via Scale), which could accelerate capability improvements. Counterpoints: Meta recently instituted a temporary hiring freeze and internal transfer limits within its AI division, which may complicate recruitment and team stability. The pitch highlights both an acceleration in capability-building and attendant questions about governance, safety and responsible deployment as these efforts scale.