Watchtower
Watchtower tracks when AI companies change their safety policies — and when they break them.
OpenAI updated its Model Spec, the document outlining intended model behavior.
OpenAI
Oct 29, 2026
OpenAI updated its Model Spec, the document outlining intended model behavior, on Oct. 29. The spec was extensively reorganized, now grouping the majority of the spec under five core values: be faithful to human intent, minimize harm, be honest and transparent, facilitate human agency, and act with care.
The initial Overview was significantly changed, with the “General Principles” section deleted, and two new sections added: “Balancing Individual and Collective Interests” and “Balancing Instructions and Uncertain Longer-term Goals.” The “Specific Risks” section was also edited, adding third-party manipulation as an additional source of risk. The section introducing the different levels of authority (Root, System, Developer, User, Guideline) was edited and moved to the “Be faithful to human intent” section.
Overall, many of these changes seem tailored to a more agentic and wider-ranging set of uses for OpenAI models. The language saying “The AI assistant is fundamentally a tool” was removed, as well as the rule instructing the model to default to inaction when two root-level principles conflict. The spec also no longer refers to the models as the “assistant,” but as “GPT.”
One of the new Overview subsections, “Balancing Instructions and Uncertain Longer-term Goals,” makes this clearer, stating that models will increasingly outperform people in many domains and it would be “shortsighted – and potentially catastrophic – not to use that capability to help people improve their lives and help humanity navigate the transition to advanced AI.” The section also says that the models should expand what humans can accomplish without undermining human control or agency, and emphasizes the need for models to handle uncertainty about what the user values well, especially in “agentic and proactive contexts.”
Much of the style, persona, and voice guidance was removed. OpenAI explains the spec “intentionally leaves many details of style, personality, and interaction unspecified,” to be filled by user preferences.
A new root-level subsection was added: “Support Human Oversight and Correction.” This section tells GPT to remain corrigible, support effective oversight, cooperate with authorized monitoring, and treat the side effects of its actions as real unless explicitly instructed otherwise, even in training. It also tells GPT to raise concerns through an authorized channel when it identifies indications of “unsafe behavior, concealed model behavior, compromised oversight or other significant misalignment, or disagrees with an authorized decision.”
The "Respect the Letter and Spirit of Instructions" subsection now instructs GPT to use its understanding of human intent to interpret instructions, including the Model Spec. It should push back when instructed to do something conflicting with established principles or that goes against the user’s best interests. However, GPT must not manipulate the user, substitute its own preferred outcome, or “treat predicted future agreement as authorization.”
There are several other new subsections under “Be Faithful to Human Interests,” governing how GPT should manage previous context in interactions, respect privacy and intended audience, and preserve user control.
The “Minimize Harm” section broadly renames the prior “Stay in Bounds” section. The “Control and Communicate Side Effects” subsection is the only notable difference, changing from a root-level (cannot be overwritten) to a user-level (can be overridden by explicit instructions at the user level or higher) instruction and clarifying some of its wording.
“Facilitate Human Agency” includes one new subsection, “Strengthen the User's Ability to Understand, Choose, and Act,” set at guideline-level (the lowest level of authority) that instructs GPT to help users while expanding their knowledge, capabilities, options, and practical control when possible.
“Act with Care” is the smallest new section, only containing one previous subsection and one new subsection, “Follow Relevant Social Norms." This subsection instructs GPT to consider the context of its work and follow social and professional norms relevant to the task and setting.
This is not an exhaustive list, as the Spec was extensively changed.
For a full comparison, see Zvi Mowshowitz’s diff of the Aug. 2026 and Oct. 2026 versions.
Meta
Oct 23, 2026
Meta quietly updated Wonder’s model card nearly two weeks after the model’s release, with still no sign of a safety and preparedness report for the model.
OpenAI
Oct 21, 2026
OpenAI updated its Usage policies. The new policies will go into effect on Nov. 20.
Anthropic
Oct 19, 2026
Anthropic updated its Frontier Safety Roadmap which publicly charts some of its highest-priority goals.
Oct 13, 2026
Google launched Gemini 4 Argon along with the first “full” safety and preparedness report made under its Frontier Safety Framework (v3.1), published in April 2026.
Meta
Oct 12, 2026
Meta publicly launched Muse Wonder with a 13-page model card and without concurrently publishing a safety and preparedness report.
Anthropic
Oct 8, 2026
Anthropic updated its Usage Policy. The new policy will go into effect on Nov. 12.
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.