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Reels helped Meta become a pioneer in AI research - Mark Zuckerberg
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The GPU Acquisition Strategy
Mark Zuckerberg discusses the strategic decision to acquire H100 GPUs in 2022, driven by the need to enhance Meta's capabilities for training AI models. This move was essential for the evolution of their services, particularly in expanding content recommendations beyond just users' followings.
"2022 is I'm assuming when you started acquiring these h100s back then how did you know to get the h100s how did you know we'll need the gpus it was because we were working on reals so you know we got ..."
The GPU Strategy Behind Reels
Mark Zuckerberg discusses the strategic decision to acquire H100 GPUs in 2022, driven by the need to enhance Meta's Reels feature. He explains how this move was essential for expanding content recommendations beyond just followed accounts, allowing for a vast increase in content visibility. This segment highlights the infrastructure challenges faced in competing with TikTok and the foresight required to prepare for future AI developments.
"2022 is I'm assuming when you started acquiring these h100s back then how did you know to get the h100s how did you know we'll need the gpus it was because we were working on reals so you know we got ..."
Expanding Content Recommendations
Zuckerberg explains how Meta transitioned from ranking content from followed users to recommending content from a vast array of sources. This shift dramatically increased the potential content pool from thousands to hundreds of millions, necessitating significant infrastructure upgrades to compete with TikTok.
"this big evolution for our services where instead of just ranking content from people who you follow we made this push to basically start recommending content from people that you're not following so ..."
Learning from Past Mistakes
In this segment, Zuckerberg reflects on the lessons learned from previous challenges in content ranking and infrastructure limitations. He emphasizes the importance of anticipating future needs, particularly in AI, and how past mistakes have informed better decision-making at Meta. This insight reveals the adaptive strategies that drive innovation within the company.
"hey we have to make sure that we're never in this situation again so let's order enough gpus to do what we need to do on reals and ranking content in feed but let's Also let's double that there's goin..."
Learning from Past Mistakes
In this segment, Zuckerberg reflects on the lessons learned from previous challenges in scaling Meta's infrastructure. He emphasizes the importance of proactive planning and ensuring that the company is never caught off guard again, hinting at future developments in AI and content management.
"infrastructure and we started working on doing that and we were constrained on basically the infrastructure that we had to catch up to what Tik Tok was doing as quickly as we would have wanted to so I..."