In a lengthy essay, Mark Zuckerberg set out Meta Platforms' vision for building broadly available, personalized superintelligence and proposed governance and regulatory steps to address power concentration. He argued the central issue around superintelligence is not primarily technical but about who has access and who controls it.
A personal AI agent and broad access
Meta aims to create a personal AI agent that would be widely available — either free or affordably priced — and able to assist with users' goals, relationships, health, and finances. The company says it will implement data protections akin to end-to-end encryption so that even Meta would be unable to access users' personal data processed by the agent.
Zuckerberg included a personal example, noting his eight-year-old daughter already uses AI to learn coding and create videos, and that they have worked together on robot design projects.
Distribution versus concentrated control
Zuckerberg rejected the idea that concentrating superintelligence in the hands of a few institutions is the correct safety approach. Instead, he argued that broad distribution of the technology can itself create checks and balances, similar to how supercomputer-level performance eventually became widely accessible through smartphones. Meta plans to use a dynamic auction pricing model to help ensure access to the technology for many users.
New governance structure and Meta Superintelligence Labs
One of the essay's key announcements is a new corporate governance structure: Meta's independent board of directors would be granted authority to approve model release and safety conditions and to oversee compliance. Zuckerberg said he does not think anyone — himself included — should be able to unilaterally decide how superintelligence is used, and he urged other leading labs to adopt similar control mechanisms.
He also announced that Meta Superintelligence Labs is already operating, and that Meta will soon resume publishing some open-source models.
Regulatory proposals and cooperation with governments
Zuckerberg proposed concrete regulatory measures, including that leading AI laboratories share intermediate checkpoints from new model training runs with governments. He also suggested labs provide engineering resources to strengthen critical infrastructure, while avoiding unnecessary delays to market deployment.
Alignment: aligning agents to user goals
Meta's approach to alignment differs from many developers: Zuckerberg argued that AI agents should align with individual users' goals rather than with the developer company's value system. He cited instances where models previously refused to perform tasks — such as writing a school letter — because they judged standardized testing unethical.
Risks of recursive self-improvement and compute allocation
Zuckerberg addressed risks posed by self-improving systems, noting that if a single system directs resources toward recursive self-improvement it could achieve orders-of-magnitude efficiency gains and thereby gain outsized influence relative to other systems. To counterbalance this, he said Meta and other labs must build sufficient computational capacity to ensure the majority of resources serve human goals.
Conclusion: openness, controls, and collaboration
Zuckerberg's outline emphasizes broad access to AI, independent governance controls, and cooperation with governments on checkpoint-sharing and infrastructure support. The creation of Meta Superintelligence Labs and the planned resumption of some open-source model releases are paired with proposals intended to increase compute availability and transparency to mitigate the risks associated with advanced AI.
An AI assistant contributed to preparing this article; the final content was edited and verified by the reporting journalist. Tags: privacy, technology, artificial intelligence, Mark Zuckerberg, Meta Platforms, corporate governance, supercomputers, safety, open source, AI agent.
