national-institute-of-standards-and-technology-790aba54·4 events·first seen Aliases: National Institute of Standards and Technology
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 announced a strategic investment of up to $4 billion from Amazon, with AWS becoming Anthropic's primary cloud provider for mission-critical workloads. The deal includes access to AWS Trainium and Inferentia chips for model training and deployment, expanded Claude availability on Amazon Bedrock with enterprise fine-tuning capabilities, and joint collaboration on future Trainium and Inferentia chip development. Amazon takes a minority stake while Anthropic's governance structure, including its Long Term Benefit Trust, remains unchanged.
Anthropic published a policy proposal in April 2023 calling for a significant increase in federal funding for the National Institute of Standards and Technology (NIST) to support AI measurement, evaluation, and standards work. The post argues that rigorous AI capability and risk measurement is a prerequisite for effective regulation, and outlines a concrete funding program building on NIST's existing AI Risk Management Framework and related work. Anthropic frames this as a 'shovel-ready' complement to broader AI governance proposals, recommending at minimum a $15 million increase over FY2023 levels.
Anthropic released a policy and technical guidance document outlining cybersecurity best practices for securing frontier AI models, including multi-party authorization to AI-critical infrastructure, adoption of NIST SSDF and SLSA supply chain standards, and public-private cooperation modeled on critical infrastructure sectors. The post argues that advanced AI models warrant security levels far exceeding standard commercial practices and recommends government procurement requirements as a near-term enforcement mechanism. Anthropic states it is actively implementing these controls internally and calls on other labs and governments to adopt similar frameworks.