OpenAI and Anthropic Under Pressure from U.S. Regulations

U.S. Regulations Intensify on AI

The landscape of artificial intelligence in the United States is undergoing a radical transformation as the federal government prepares to exert greater control over the release of AI models. Recently, the Fable and Mythos models developed by Anthropic were pulled from the market, and now it's OpenAI's turn to face similar restrictions. According to The Information, OpenAI's GPT 5.6 model will only be available in a limited preview. Each client will need to obtain individual government approval before accessing the model, and this will remain in place until a general release is eventually authorized.

A Limited Preview That Could Last

Sam Altman, CEO of OpenAI, indicated that this preview might last only a few weeks. However, the case of Mythos, which has been in preview for several months without a clear prospect of a general launch, shows that these timelines can extend well beyond initial expectations. Such delays could have significant economic consequences for OpenAI, which, like many other AI labs, is looking to improve its financial results. A slowdown in the development of new models could also hinder the expansion of necessary infrastructures, such as data centers.

A Threat to the Entire Industry

The current situation places OpenAI and Anthropic in a similar position, facing the same challenges and potential risks. Discussions within the industry often focus on the rivalry between these two entities, with some accusing Anthropic of manipulating regulations to its advantage, while others suspect OpenAI of seeking political favor. However, the issue extends far beyond this competition. The cost and complexity of a random government approval process for each advanced AI model are evident, and no solution seems capable of favoring one lab without also benefiting others.

The Need for a Clear Publication Process

The immediate challenge is to establish a publication process that is both sensible and efficient. While government oversight of models before they hit the market is understandable, it remains unclear what safety guarantees are necessary to satisfy regulators. Dean Ball, a researcher at George Mason University and a future employee of OpenAI, emphasized that the government lacks the expertise and capabilities needed to conduct the required testing. Furthermore, regulators have not clearly defined the specific risks they seek to mitigate.

Real Concerns Behind the Regulations

Although the government process is often seen as the main obstacle, there are legitimate concerns regarding the impact of AI models on cybersecurity, biological risks, and system alignment. Limiting the release of these models cannot be the sole solution, as it restricts public access to these technologies. However, the associated risks must be acknowledged and addressed appropriately.

Towards Necessary Collaboration

To overcome these challenges, collaboration within the industry is essential. As Ball suggests, this involves trusting independent entities to guide the process, even if their goals do not perfectly align with those of AI labs. It is crucial to support the least restrictive regulatory options rather than systematically opposing every new regulation. More importantly, it is about advocating for the AI industry as a whole, rather than viewing regulation as an opportunity to gain an edge over competitors.

The AI Industry at a Turning Point

For many professionals in the field, this collaborative approach may prove difficult to accept. AI models have reached a level of sophistication that now carries significant political implications. Addressing these challenges will require collective action. The coming weeks will be crucial in determining whether the industry is ready to rise to this challenge.