Watchtower
Watchtower tracks when AI companies change their safety policies — and when they break them.
Anthropic updated its Usage Policy. The new policy will go into effect on Nov. 12.
Anthropic
Oct 8, 2026
Anthropic updated its Usage Policy on Oct. 8, detailing how its products are allowed to be used. The new policy will go into effect Nov. 12. Many of the changes seem to have been made with increasingly agentic use of Anthropic’s models in mind, as the models become more capable of a wide range of actions, as well as becoming integrated with physical and other electronic systems.
The largest change was the “High-risk Use Case Requirements” section being extensively rewritten. The requirements now explicitly do not apply to using Anthropic products “to assist in workflows that are related to, but do not actually provide, High-risk AI Recommendations,” such as internal drafting or analysis or carrying out a decision a person has already made.1 There’s also an exception to the human-in-the-loop review requirement for decisions “wholly favorable to the individual,” such as a person’s insurance claim being fully paid.
High-risk Areas were updated: Public benefits and services, and Legal status and adjudication were added, while “Media or professional journalistic content” was removed as a High-risk Area.
A “High-risk Physical Actions” subsection was added under the High-risk Use Case Requirements section. When connecting Anthropic models to hardware that can take physical actions, users should assess what could happen if something went wrong and “the degree of control the user maintains relative to the autonomy the model has.” Requirements apply when outputs are acted upon without human approval by hardware that can do one of six listed things, such as moving through a shared physical space. These requirements don’t apply to consumer devices operating within a manufacturer’s built-in safety limits where the worst outcome is “discomfort or inconvenience,” handling non-hazardous materials inside enclosed instruments, or generating plans for a qualified person to review before they are executed on equipment.
The bar for enforcing the Usage Policy lowered, with “If we learn that you have violated” becoming “If we suspect that you may have violated.”2 Correspondingly, new responses to a potential violation were added, including warnings or limiting access to Anthropic products and services.
The “Do Not Compromise Computer or Network Systems” section was clarified to explicitly allow for red-teaming and other security testing done with permission.3 It now reads “Do Not Compromise Computer or Network Systems Without Authorization,” and that new language was added to most of the section’s prohibitions.
The “Do Not Develop or Design Weapons” section was extended.4 It newly prohibits developing or operating software or components for weapons, illegally selling or transferring weapons, and modifying or testing biological or chemical agents to optimize traits such as their lethality or transmissibility. Overall, the section became more specific and wide-ranging, aside from loosening its harm standard from “designed to cause harm to or loss of human life” to “designed to deliver lethal or destructive force.”
Anthropic newly prohibits “sustained and needless abusive or cruel behavior toward [Anthropic’s] models.”5
A new section was added to the Usage Policy: “Do Not Engage in Deceptive Campaigns or Artificial Activity.”6 This section prohibits creating or operating fake personas or impersonating real people in order to mislead people. It prohibits misrepresenting sponsorship of content, distributing content through networks of fake outlets or accounts, building tools designed to assist with deceptive campaigns, as well as soliciting funding for any of the above as a product or service.
The “Do Not Undermine Democratic Processes” section was edited. It no longer prohibits engaging in personalized vote or campaign targeting, while newly prohibiting the creation of content that falsely appears to come from or on behalf of a real candidate, official, election authority, or news outlet.7
The “Do Not Use for Criminal Justice, Censorship, Surveillance, or Prohibited Law Enforcement Purposes” section was extended.8 The update newly prohibits suggesting decisions in law enforcement or criminal justice processes rather than just making them. Instead of just prohibiting nonconsensual targeting/tracking of a person, it now prohibits tracking their property. It newly prohibits building or improving surveillance capabilities of tools designed for surveillance prohibited in this section, and prohibits identifying people from anonymous or pseudonymous activity in order to harass, intimidate, surveil, or harm them. A final paragraph clarifies this section doesn’t prohibit analysis/tracking that individuals have agreed to, nor does it prohibit aggregated/anonymized analysis.
This is not an exhaustive list, as the Usage Policy was extensively updated.
A diff of the changes can be found below:
- Anthropic Usage Policy, p. 15
- Anthropic Usage Policy, p. 1
- Anthropic Usage Policy, p. 3
- Anthropic Usage Policy, p. 4
- Anthropic Usage Policy, p. 6
- Anthropic Usage Policy, p. 7
- Anthropic Usage Policy, p. 8
- Anthropic Usage Policy, p. 9
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.
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.
OpenAI
Oct 7, 2026
OpenAI published a new system card for GPT-6 Sol and GPT-6 Luna, covering new versions of the two models available in the basic ChatGPT interface.
Meta
Oct 2, 2026
Meta updates and renames its safety framework from the "Advanced AI Scaling Framework" (v2) to the "Meta Superintelligence Scaling Framework" (v2.1).
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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.
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No. One of our central values is being pro-technology.
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