Watchtower
Watchtower tracks when AI companies change their safety policies — and when they break them.
Anthropic updated its Responsible Scaling Policy (RSP) from v3.2 to v3.3.
Anthropic
May 26, 2026
Anthropic updated its Responsible Scaling Policy (RSP) from v3.2 to v3.3. In Section 1, “Our Recommendations for Industry-Wide Safety,” this update included a changed description in the “Capability or usage threshold” for “novel chemical/biological weapons production.” It’s notable that the RSP changelog calls this a “revision,” while the Opus 4.8 system card frames it as a “clarification of the intent of our earlier threshold.” The latter understates the change, given that this is a reshaping rather than a wording tweak. The capability the threshold requires narrowed, from a model that significantly helps threat actors (moderately resourced, expert-backed teams) to one that can substitute for the world-leading specialists such a team would need. However, the harm it covers broadened, from damage “far beyond” COVID-19 to damage “comparable to or worse than” it. The mitigations tied to this threshold remain unchanged.

The system card also states that the reasoning used to clear models under the old wording would carry over to the new wording and that the two definitions reach the same conclusion. Anthropic asserts this equivalence rather than demonstrating it; the card doesn't show a model measured against both.
There were also changes to Section 3.1, Risk Reports: Scope and Timing. The criteria for including internally deployed models in a Risk Report are now structured around two explicit conditions: (1) the model could pose risks related to high-stakes misalignment or automated R&D, and (2) those risks significantly exceed those of models covered by a prior Risk Report. Additionally, v3.3 names and refines “off-cycle updates,” analyses that Anthropic publishes between Risk Reports when a model’s risk profile changes significantly.
V3.3 also makes minor terminology changes, notably renaming the third capability-threshold row from “High-stakes sabotage opportunities” to “Misaligned AI systems in high-stakes settings.” The threshold text itself is unchanged.
Correction: This post originally described the chem/bio threshold change as simply making the bar "harder to trigger." That was incomplete. The capability the threshold requires was narrowed, but the harm it covers was broadened, from damage "far beyond" COVID-19 to damage "comparable to or worse than" it. We've also updated the screenshot to include the footnotes where this point is made. Thanks to @MaskedTorah for flagging.
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.
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You can email us at info@themidasproject.com, or reach out via the form on our contact page.