Anthropic submits detailed recommendations to strengthen US AI chip export controls under Diffusion Rule
Anthropic filed a formal response to the Department of Commerce's 'Framework for Artificial Intelligence Diffusion' interim final rule, advocating for stronger export controls on advanced semiconductors to preserve US AI leadership. Key recommendations include adjusting the three-tier country classification system, lowering the no-license compute threshold for Tier 2 countries, and increasing enforcement funding for the Bureau of Industry and Security. Anthropic argues that Chinese firms like DeepSeek demonstrate export controls are working but warns of aggressive chip stockpiling and smuggling operations that undermine their effectiveness. The submission frames compute advantage as a national security imperative, warning that without strong controls, frontier AI infrastructure could offshore similarly to solar panels and semiconductors.
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Anthropic Responds to White House AI Action Plan, Calls for Transparency Standards and Export Controls
Anthropic published a policy response to the White House's 'Winning the Race: America's AI Action Plan,' endorsing its focus on AI infrastructure, federal adoption, and safety research while urging additional steps on export controls and mandatory AI development transparency standards. The company highlighted alignment between the plan and its prior OSTP submissions, and noted its proactive activation of ASL-3 protections with Claude Opus 4 as evidence that safety and innovation are compatible. Anthropic called for a single national standard for frontier model transparency rather than a state-by-state patchwork, and encouraged continued investment in NIST's CAISI for evaluating frontier models on national security risks including CBRN capabilities.
Anthropic submits AI Action Plan recommendations to White House OSTP
Anthropic submitted formal recommendations to the White House Office of Science and Technology Policy in response to its Request for Information on a U.S. AI Action Plan. The submission covers six areas: national security testing of AI models, tightening semiconductor export controls (including H20 chips), enhancing lab security via classified government-industry channels, scaling energy infrastructure to 50 GW by 2027, accelerating government AI adoption, and preparing for economic disruption. Anthropic cites its expectation that powerful AI systems matching Nobel Prize-level intellect will emerge in late 2026 or early 2027, framing the recommendations as urgent national security and economic imperatives.
Andrew Ng argues Anthropic's usage restrictions and U.S. export controls on frontier AI accelerate push for open alternatives
Andrew Ng's editorial in The Batch analyzes two recent events: Anthropic restricting use of its 'Fable 5' model for LLM research (including initially degrading outputs silently for detected researchers), and the U.S. Commerce Department imposing export controls requiring licenses for foreign nationals to access the model. Ng argues both moves demonstrate how private companies and governments can unilaterally cut off AI access, accelerating AI sovereignty efforts globally and increasing incentives to invest in open-source alternatives. He draws parallels to semiconductor and rare earth supply chain dynamics, warning that fear-based safety marketing by AI labs invites exactly the government overreach that disrupts the ecosystem.
Anthropic submits AI accountability recommendations to NTIA, covering evals, red teaming, and pre-registration
Anthropic submitted a formal response to the NTIA's Request for Comment on AI Accountability, outlining a multi-part policy framework for governing advanced AI systems. Key recommendations include increased government funding for evaluation research, mandatory disclosure of evaluation methods, pre-registration of large training runs with national governments, mandated external red teaming before model release, and antitrust guidance to enable industry safety collaboration. The submission reflects Anthropic's core policy positions and advocates for risk-tiered oversight proportional to model capabilities.
Anthropic Strengthens Regional Restrictions to Block China-Controlled Entities
Anthropic is updating its Terms of Service to prohibit access by companies whose ownership structures subject them to control from restricted jurisdictions, including China, regardless of where those companies are incorporated or operate. The new rule targets entities more than 50% owned directly or indirectly by companies headquartered in unsupported regions, closing a loophole where Chinese-controlled firms accessed Anthropic services through foreign subsidiaries. Anthropic cites national security risks including potential data sharing with intelligence services, model distillation for adversarial AI development, and support for authoritarian military objectives. The announcement also reaffirms Anthropic's advocacy for export controls, domestic AI infrastructure buildout, and national-security-focused model evaluations.
Anthropic proposes federal AI transparency framework with mandatory Secure Development Frameworks and system cards
Anthropic published a policy proposal calling for a targeted AI transparency framework applicable at federal, state, or international levels, targeting only the largest frontier AI developers (suggested thresholds: ~$100M annual revenue or ~$1B R&D/capex). The framework would require covered developers to publicly disclose a Secure Development Framework covering CBRN and misalignment risks, publish system cards at deployment, self-certify compliance, and face legal liability for false statements. The proposal is explicitly lightweight and flexible, designed to avoid prescriptive standards while creating accountability mechanisms and whistleblower protections during the period before comprehensive safety standards are established.
Anthropic publishes policy brief calling for targeted AI regulation within 18 months
Anthropic published a policy position paper arguing that governments have an 18-month window to enact narrowly-targeted AI regulation before risks in cyber and CBRN domains become acute. The post cites rapid capability gains—SWE-bench scores rising from 1.96% to 49% in a year, GPQA scores approaching human expert level—as evidence that frontier models are approaching meaningful misuse thresholds. Anthropic also reviews its Responsible Scaling Policy as a model for adaptive, proportionate risk governance and calls for similar frameworks to be adopted industry-wide and codified in law.
Anthropic policy recap: US Executive Order, G7 Code of Conduct, and Bletchley Park AI Safety Summit
Anthropic published a policy commentary summarizing three major AI governance events from late October/early November 2023: the US Executive Order on AI, the G7 International Code of Conduct for advanced AI developers, and the UK-hosted Bletchley Park AI Safety Summit. The post covers Anthropic's positions on each, including support for NIST capacity-building, the G7 Code of Conduct, and the newly announced UK and US AI Safety Institutes. Dario Amodei presented Anthropic's Responsible Scaling Policy at Bletchley as a potential regulatory prototype, and the 28-country Bletchley Declaration notably included China among its signatories.