Anthropic

For the United States to take the lead in AI cyber operations capabilities, government and industry must create appropriate safeguards.

Anthropic v. Department of War reveals why courts must distinguish genuine national security judgments from pretextual ones and how to do it.

All highly capable AI models should be regulated through pre-deployment and ongoing testing. But any safety regime that works for domestic models should work for Chinese ones.

The Pentagon's push to integrate AI into weapons systems exposes a critical gap: no one can agree on what "autonomous weapons" means.

With risk-based personnel vetting practices, U.S. AI labs can keep recruiting the world’s best researchers while safeguarding national security.

"The breadth of the order issued with respect to the Anthropic models is unprecedented."

"Further evidence of the need for a regulatory system that provides a more stable equilibrium for stakeholders to operate."

Mythos is a harbinger of the dilemmas that AI companies & governments will face in enabling the safe adoption of progressively more powerful models.

When the consequences of one corporate decision can compromise the world’s digital infrastructure, industry self-governance is not enough.

Experts share questions Congress, journalists, and the public should ask executive branch officials on surveillance authorities.

In a functioning democracy, citizens don’t fear who is in power because rules, not rulers, hold sway. The same principle should govern the future of AI.

The Iran War and the public rupture between DoD and Anthropic point to a fundamental imbalance in current military AI.