After a May 2023 White House meeting, OpenAI drafted an internal policy memo supporting the US government requiring licenses for developing advanced AI systems
This is as if Google asked the government to step in after they started shipping websites using Asynchronous JavaScript and XML. A license to build an LLM would stop Open Source LLMs in their tracks. … Twitter: @vim_dzl : this is like when the countries built nuclear weapons and then were like ‘hey no more building facilities to create nuclear weapons! that would be bad for the world!’
Context & Ripple Effects
This 2023 memo marks an early instance of OpenAI arguing for government oversight of advanced-model development. Its later White House policy package warning against fragmented state legislation shows that the company’s policy engagement broadened from licensing to the shape of the U.S. regulatory system later White House policy recommendations.
The subsequent record makes the open-model question especially salient: OpenAI and Anthropic were later reported to be pressing Washington for limits on open-source models lobbying over open-source AI restrictions.
First-order effects
- The memo put OpenAI on record internally in favor of a federal licensing regime for developers of advanced AI systems, aligning its policy posture with more direct government control of frontier development.
- The proposal would have made access to advanced-model development a regulatory question, rather than solely a matter of technical capability or voluntary company safeguards.
Second-order effects
- If pursued by policymakers, licensing would raise compliance and approval burdens for model developers, with the greatest practical pressure on smaller and open-source efforts that lack the resources of established labs.
- It would sharpen the incentives for rival labs to lobby over who is covered, what capabilities trigger review, and whether federal rules preempt state-level approaches—an issue later reflected in OpenAI’s push for state-led AI safety standards.
Third-order effects
- The episode points toward a state-mediated frontier-AI market in which a small set of firms seeks legitimacy through formal oversight while regulators decide which model capabilities warrant controlled access.
- Whether such controls protect against misuse or entrench incumbent labs depends on their scope and implementation; later calls for mandatory government-led cyber evaluations suggest the policy debate has moved toward specific control mechanisms mandatory cyber-risk evaluations.
The trend: Frontier AI governance is shifting from voluntary lab commitments toward rules that can determine who may build, release, and operate the most capable models.