Mark Zuckerberg recently published an AI manifesto advocating for the widespread distribution of "personal superintelligence" to empower individuals. This vision contrasts with the more centralized AI approaches of competitors like OpenAI and Anthropic. Zuckerberg aims to establish Meta as a leading frontier AI lab, a challenging goal given the intense competition from established tech giants and emerging players. Meta has a history with AI, establishing its first dedicated lab in 2013, but later shifted focus to virtual reality and the metaverse. The rise of generative AI, exemplified by ChatGPT, prompted Meta to pivot back, investing heavily in AI talent, acquisitions like Scale AI, and massive computing infrastructure. Despite significant financial resources, including a strong advertising revenue stream, Meta faces skepticism due to past strategic missteps. The company is launching new AI models like Muse Spark but has yet to integrate them meaningfully into its products. Past ambitious bets on areas like enterprise software, cryptocurrency, and the metaverse have not paid off as expected. However, Meta's early AI research, particularly the open-source framework PyTorch, and the accidental release of its Llama model, have positioned it as a key player in democratizing AI. Zuckerberg's pursuit of personal superintelligence marks a critical and unproven new chapter for Meta.