The AI policy window is open. We need to act.

We’ve reached a new chapter in AI capabilities, and that demands a new chapter for AI policy. No company, industry, or government can meet this challenge alone. We need to meet this moment with a bias toward meaningful action over policy perfection. Here’s what we’re doing: 1. Pushing for mandatory national AI safety requirements. We want to work with Congress on mandatory, capability-based national AI safety regulation. 2. Keeping up momentum in the states. Until Congress acts, we will continue supporting state legislation that strengthens the broader AI safety ecosystem. Today, we are announcing our support for four California bills: SB 813 on overall infrastructure for independent safety assessments, AB 1405 on AI-auditor standards, SB 1119 on protections for young people, and AB 1864 on safeguards against AI-enabled biological threats. 3. Advancing industry-led standards. We will work with other frontier labs to advance frontier AI standards, building a voluntary effort now, with or without government support. 4. Building global standards. We will advocate for compatible international approaches to measuring capabilities, managing risk, preserving human control, and determining when and how development should slow or stop, even if that means slowing the advancement of model capabilities.

Our Chief Scientist Jakub Pachocki recently wrote⁠ that the rapid rise of machine intelligence, including the potential of recursive self-improvement, calls for “extreme caution.” OpenAI will continue pursuing technical solutions to alignment and monitoring, building defensive systems, and slowing development when necessary. But technical work inside individual labs will not be enough. We also need shared standards, including regarding when development should slow or stop. The stakes are enormous. Advanced AI could accelerate the development of new medicines⁠, strengthen critical infrastructure⁠, expand economic opportunity⁠, and help solve scientific problems⁠ that have resisted generations of human effort. But the capabilities that make models more useful also come with risks, and they will not remain confined to a few frontier laboratories. Models developed around the world, including open models, will increasingly approach today’s frontier and become broadly available.