Meta's evolution in data infrastructure focuses on the integration of artificial intelligence into its systems, emphasizing scalability and efficiency to handle increasing data demands. The article highlights the advancements in technology that support AI initiatives and improve operational capabilities.

Andrew Tulloch, co-founder of Thinking Machines Lab and prominent AI researcher, has left the startup to join Meta Platforms. His departure follows a brief tenure at OpenAI and a previous 11-year stint at Meta, with the move attributed to personal reasons.

Meta is reportedly in negotiations to invest billions of dollars into Scale AI, a company specializing in data labeling and AI development. This potential investment reflects Meta's strategic focus on enhancing its AI capabilities and infrastructure.

Meta Platforms is set to release its next AI model, internally referred to as Llama 4.X or Llama 4.5, before the end of the year. This model is expected to be among the first of its kind in the market.

The interview features Mark Zuckerberg discussing Meta's approach to artificial intelligence and how it influences the evolution of social media. He highlights the integration of AI technologies to enhance user experience and addresses the challenges and opportunities presented by these advancements in the digital landscape.

Meta is reportedly in discussions to invest more than $10 billion in Scale AI, a company valued at nearly $14 billion. Scale AI offers a platform for AI-related information exchange among researchers across over 9,000 locations.

Mark Zuckerberg has initiated another restructuring of Meta's artificial intelligence division amid ongoing internal challenges. The company is considering incorporating third-party AI models, including both open-source and licensed technologies, in an effort to enhance its competitive edge in the rapidly evolving AI landscape.