Watchtower
Watchtower tracks when AI companies change their safety policies — and when they break them.
OpenAI published a separate Frontier Governance Framework (FGF) to satisfy California’s Transparency in Frontier AI Act and the EU Code of Practice.
OpenAI
May 29, 2026
OpenAI published a separate Frontier Governance Framework (FGF) to satisfy California’s Transparency in Frontier AI Act and the European Union’s General-Purpose AI Code of Practice (EU CoP). Up to this point, OpenAI’s existing framework was its Preparedness Framework (PF), which ties safeguards to capability thresholds and commits to halting development of a model that reaches the Critical threshold until safeguards that meet a “Critical standard” are specified. The PF remains OpenAI’s broader framework for tracking frontier AI capabilities and deciding what models are safe to develop and deploy, but it’s voluntary.
A few differences from the PF: the FGF defines risk categories — cyber offense, CBRN, loss of control, and harmful manipulation — with capability tiers for the first three. Unlike the PF, which ties required safeguards to each capability threshold, the FGF attaches no specific required mitigations to its tiers, stating that mitigations are applied "as appropriate" and that a model may be deployed where OpenAI determines residual risk falls "within acceptable levels."
Harmful manipulation is a new risk category relative to the PF, which excluded persuasion-type risks because they did not meet its definition of “severe harm.” Its inclusion in the FGF follows the EU CoP, which includes harmful manipulation as one of its specified systemic risks. The FGF defines no capability tiers for harmful manipulation, describing the area as “exploratory” and stating that these risks “may be best addressed through system level mitigations, such as post-deployment monitoring, rather than model evaluations before deployment.”
Additionally, the PF treats AI self-improvement as one of three tracked categories, while the FGF does not include a standalone self-improvement category, naming self-improvement as one pathway within loss of control. This mirrors the EU CoP, whose definition of loss of control encompasses self-improvement.
OpenAI isn’t the first frontier lab to have two separate policies. Anthropic created its Frontier Compliance Framework for regulatory compliance back in December.
OpenAI
Aug 18, 2026
OpenAI updated its Model Spec, the document outlining intended model behavior
xAI
Aug 17, 2026
xAI updated Grok 4.6's model card after release. A changelog was included.
Aug 14, 2026
Google updated its Gemini 3.7 Flash model card after publication, making changes to language in the “Key Results for Gemini 3.7 Flash” column in the Frontier Safety Assessment section
OpenAI
Aug 3, 2026
OpenAI updated its system card for two of its models: GPT 5.6 and GPT Live.
xAI
Jul 20, 2026
xAI made changes throughout the model card for Grok 4.5, including some that appear to be persistent errors
Frequently asked questions
Have more questions? Our team is happy to help, contact us.
We engage in a combination of research, outreach, and public advocacy to ensure that AI companies are meeting public expectations and living up to their past promises, in order to ensure responsible AI development and deployment.
We review technical literature, regulatory guidance, and case studies to distill concrete measures that will meaningfully improve public safety — such as frontier-model risk assessments, red-teaming requirements, and whistle-blower protections — and advocate for the most important voluntary steps that companies can take today to ensure they are acting responsibly.
We also monitor whether companies follow their stated policies and industry norms. When we find evidence of back-tracking or inadequate risk controls, we document it and call for corrective action — mobilizing employees, customers, and civil-society allies until the company adopts the necessary safeguards.
Finally, we publicize our research to inform the public of how AI companies stack up on safety and responsibility. We release our work in the form of scorecards, independent reports, open letters, and long-form writing so that regulators, investors, and the wider public can see how individual developers perform on safety and responsibility.
Various AI experts including Nick Bostrom and Stuart Russell have compared the development of advanced AI to the myth of King Midas.
According to legend, King Midas was once granted one wish by the god Dionysus: that everything he touched would turn to gold. At first, he was thrilled with his new powers. But the King soon discovered that he couldn’t touch food, water, or even his family without instantly turning them to metal. In other words, he got exactly what he wanted in pursuit of immense wealth — and it turned out it wasn’t what he wanted at all.
Much like King Midas, AI companies are now eagerly pursuing incredible wealth and power by developing increasingly powerful AI systems. But ensuring that these systems act in alignment with our values is still an unsolved technical problem. If we misspecify even a single goal for these systems, how will we prevent them from causing an incredible catastrophe – if they follow our instructions at all?
In the words of Stuart Russell, “If you continue on the current path, the better AI gets, the worse things get for us. For any given incorrectly stated objective, the better a system achieves that objective, the worse it is.” The Midas Project exists to ensure that AI companies do not take this extraordinary gamble without public accountability and oversight.
The Midas Project is a nonprofit organization founded in early 2024 by Tyler Johnston. Our work is supported by a small core team and a wider base of volunteers and supporters. We are a nonprofit, tax-exempt, 501(c)(3) organization that relies on donations from the public.
No. One of our central values is being pro-technology.
Progress in technology has improved lives for millions of people around the globe (after all, without it, we wouldn’t have penicillin, air conditioning, or the internet). Artificial intelligence is already being used to help improve medicine, education, and overall living standards. We believe this progress should continue, and we hope AI will be a positive force in the world.
But we may not be on track to realize this future. Without technical breakthroughs, we risk developing powerful AI systems that act against user intent, or can be misused by bad actors to cause tremendous harm. Powerful AI could also concentrate unprecedented power among a handful of AI companies and exacerbate social inequality. To avoid these downsides, AI must be developed with caution, transparency, and public oversight. That’s why The Midas Project is committed to raising awareness about the risks of AI and ensuring that everyone is given a chance to make their voice heard.
If you’d like to get involved, consider signing up for our newsletter, joining as an official volunteer, or making a charitable donation today.
You can email us at info@themidasproject.com, or reach out via the form on our contact page.