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Big AI Had a Point When It Said It Needed to Be Told What Is Not Okay

Jul 10, 2026  Twila Rosenbaum 16 views
Big AI Had a Point When It Said It Needed to Be Told What Is Not Okay

The recent Politico report revealing Big AI's desire for clear guidance from the Trump administration underscores a pivotal moment in artificial intelligence governance. Industry leaders like OpenAI's Sam Altman and Anthropic's Dario Amodei, who previously warned of AI's potential dangers, now find themselves navigating a patchwork of abrupt and opaque restrictions. The administration's initial stance—championed by Vice President Vance in Paris, advocating minimal regulation—has given way to a sudden crackdown, notably against Anthropic's Claude Fable 5 model. This shift, while welcome in principle, lacks the transparency and consistency that the industry needs to operate effectively.

The metaphor of a dentist's tray, used by the original author, remains apt. Big AI executives, like Altman and Amodei, have been showing the public the tools of their trade—the risks of misuse, the potential for harm—since 2023. Altman's congressional testimony that year, where he stated, "if this technology goes wrong, it can go quite wrong," set the stage. Amodei's essay on the "Adolescence of Technology" further warned of the coming turmoil. These were not merely public relations exercises; they were genuine expressions of concern about a technology that could spiral out of control without proper guardrails.

Yet, the Trump administration's response has been paradoxical. After promising a hands-off approach in early 2025, the administration now appears to be regulating by presidential whim. The ban on Anthropic's Claude Fable 5 model, reportedly due to security concerns, was announced without clear criteria or a repeatable process. This has left companies like OpenAI walking on eggshells. In its blog post about the GPT 5.6 series, OpenAI expressed frustration, stating, "We don't believe this kind of government access process should become the long-term default." The lack of a legislative framework forces companies to guess what might displease the White House next.

The public's distrust, as highlighted by the article, is overwhelming. Only 15% of Americans trust AI companies, according to an Anthropic-conducted survey. Seven in 10 oppose data centers in their areas. And 87% believe foreign governments will use AI to attack the U.S. within 20 years. These figures reflect a deep-seated anxiety that the current regulatory approach does not address. The administration's focus seems less on protecting citizens than on ensuring American dominance in AI—a goal that, ironically, may be undermined by its own unpredictability.

Historical context is useful here. The debate over AI regulation dates back to the early days of machine learning. The 2023 Executive Order on AI under the previous administration attempted to establish voluntary standards. The Trump administration's February 2025 Paris speech signaled a sharp reversal, prioritizing innovation over safety. Then, in June 2026, the administration suddenly reversed course again, imposing export controls and a de facto moratorium on new releases. As former Biden advisor Saif Khan noted, "The administration's current actions have resulted in an almost complete moratorium on new releases." This is having real economic impacts on companies' bottom lines.

Meanwhile, the global competition with China intensifies. As cybersecurity experts pointed out after the Fable/Mythos ban, rival labs in China can seize upon the disorder by pushing ahead with their own AI development. The U.S. risks ceding its technological lead not because of regulation, but because of chaotic regulation. The Executive Order earlier this month, which merely requested—not demanded—that companies submit models for federal vetting, adds to the confusion. It lacks the force of law and offers no clear path to compliance.

The article's dentist metaphor extends further. The public did not ask for these AI dentists; they arrived unbidden, promising a revolutionary smile. But the tools are frightening, and only 15% of patients trust the practitioners. The administration, initially dismissive of the public's fears, is now reacting by occasionally yanking away a tool without explanation. This does not build trust; it erodes it further. What is needed is a transparent, legislated framework that defines what is and is not acceptable—exactly what Big AI has been asking for.

The companies themselves are not blameless. Their relentless pursuit of capabilities, often without adequate safety testing, has contributed to the public's unease. The release of models that can generate convincing disinformation, automate cyberattacks, or even pose existential risks, demands a sober response. But that response must be consistent and predictable. The current situation—where the administration is "happy to take things seriously" but does so through opaque executive actions—is untenable.

In many ways, the article's core point remains: Big AI was right to warn us. Now, it is up to the government to provide the clear boundaries that the industry both fears and needs. Until Congress passes comprehensive AI legislation, the industry will remain at the mercy of the president's mood. And the public will continue to watch, distrustful, as the dental procedure proceeds—or halts—without their consent.


Source:Gizmodo News


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