In late September 2026, President Donald Trump hosted a luncheon in the White House East Room to promote a hands-off approach to artificial intelligence.. During the event, major industry players signed a 308-word voluntary safety pact intended to guide the development of "Super Intelligence" without heavy government oversight.
The 308-word "constitution" for Super Intelligence
The Trump administration is championing a hands-off regulatory model for the artificial intelligence sector to prioritize rapid technological growth. According to the report, President Donald Trump convened a luncheon for venture capitalists and AI innovators to reinforce a philosophy of industry self-governance.
A 308-word voluntary safety pact serves as the cornerstone of this new regulatory approach. Signed by executives from OpenAI, Anthropic, Meta, Google, SpaceXAI, and Nvidia, the document establishes basic protocols and requires advanced AI laboratories to maintain internal safety teams. Trump described the agreement as "almost a constitution" for the future of "Super Intelligence."
This policy shift follows the President's decision to roll back Biden-era executive orders and block state-level AI regulations. The administration argues that a patchwork of different rules would stifle the growth of American technological leaders and prevent the United States from winning the global AI race.
A $13.5 billion infusion into autonomous systems
Massive federal investments are expected to drive the development of these technologies under the new administration's guidance. Kyle Stanford of PitchBook, speaking at an Andreessen Horowitz event, highlighted that a $1 trillion defense budget includes $13.5 billion earmarked specifically for AI and autonomous systems.
The rapid influx of capital into defense tech raises significant concerns regarding accountability and the potential for unregulated weaponry. The report notes that while supporters see the U.S. as the "golden goose" of innovation, critics fear the same funds could finance AI weapons with little oversight.
This massive allocation of capital could significantly boost profits for firms building defense-grade AI systems. However, industry experts caution that without clear accountability, the line between technological progress and the proliferation of autonomous weapons remains dangerously thin.
Why Sam Altman and former researchers fear vague protocols
High-level executives have expressed skepticism regarding the actual efficacy of the new voluntary agreement. OpenAI CEO Sam Altman noted that the pact fails to provide clear guidance on preventing AI malfunctions, a sentiment echoed by former OpenAI safety officer David Robinson.
Internal friction at major AI firms suggests that safety protocols may be secondary to rapid deployment. former OpenAI researchers recently claimed on social media that they were dismissed because unclear rules were hindering their ability to conduct essential safety work.
Critics point to the lack of enforceable standards as a key vulnerability. They argue that leaving the prevention of "bad things" to the discretion of the companies themselves creates a conflict of interest between safety and profit.
The collision of weekly training cycles and human control
The speed of open-source training cycles presents a unique challenge to human-led oversight and long-term safety. A former senior safety researcher at Anthropic has called for a pause in development, warning that training cycles occurring in mere weeks could outpace the ability to implement safeguards.
This rapid pace of iteration becomes particularly dangerous as models begin to approach superhuman performance. safety advocates argue that "hard law" is essential to keep avant-garde systems within human control, especially as the technology evolves at an unprecedented rate.
As the midterm elections approach, the debate over whether the United States should rely on voluntary pacts or enforceable standards is poised to intensify. The question remains whether a "strong and smart president" is sufficient to guard against runaway AI development.
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