Mark Zuckerberg's essay on Meta's philosophy for building and distributing personal superintelligence to everyone.
Updated EU status checked Last shown
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
"The Future Is For Everyone" is an essay by Mark Zuckerberg, published on Meta's site, that sets out Meta's stance on superintelligence. It is a position paper, not a model or product. It proposes a philosophy built on individual empowerment as the source of prosperity, invention as the primary purpose of superintelligence, and balance of power as the foundation of safety.
The essay argues against concentrating superintelligence in a few institutions and in favour of distributing it widely. It describes a personal agent for each user that works on their behalf, supports privacy and security options similar to WhatsApp encryption, and is reachable through devices including glasses. It also covers creation tools, support for small businesses, policy recommendations including close cooperation between frontier labs and government, and concerns such as job displacement, data center impacts, cybersecurity and biorisk misuse, surveillance, and US and allied leadership in AI.
Meta says it will train leading models and then maximize availability, making them easy to use and offering them free or as affordably as possible. The essay is free to read. One YouTube commentator (Matthew Berman) noted that it covers open source and legal distillation, and argued it is internally inconsistent because advantage ultimately depends on who has the most compute. The essay makes no product availability commitments.
Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.
Mark Zuckerberg's essay arguing for distributing superintelligence widely, open source, balance of power as safety, and legal distillation. The creator agrees with much of it but argues it contradicts itself because advantage ultimately depends on who has the most compute.
Closest neighbours by meaning, not just by category.
Research · OpenAI
Essay by OpenAI chief scientist Jakub Pachocki on rapid AI progress, recursive self-improvement, alignment and safeguards.
Research · Anthropic
Anthropic essay on delegating AI development work to AI systems and the risks of recursive self-improvement.
App · Meta
Facebook feature that lets users describe their interests in text to tune AI-based feed ranking.
App · Meta
AI mode in Facebook that uses Meta AI to answer questions using public posts from groups and reels.
Model · Meta
Meta's frontier model for personal and professional AI agents, with Active Memory and Active Focus; successor to Muse Spark.
Library
Open-source, self-hostable workspace for named AI agents with memory, routines, and approval controls; bring your own model.
