AI Models

US Gets Pre-Release Access to AI Models from Five Labs for Security Tests

The US Department of Commerce's Center for AI Standards and Innovation has agreements with five major AI labs for pre-release testing of models on national security risks. New pacts with Google DeepMind, Microsoft, and xAI build on deals with Anthropic and OpenAI. CAISI Director Chris Fall stressed the need for rigorous evaluation of frontier AI.

Neura News

Neura News

Neura Market Editorial

May 5, 20263 min read
US Gets Pre-Release Access to AI Models from Five Labs for Security Tests

US Gets Pre-Release Access to AI Models from Five Labs for Security Tests

The Center for AI Standards and Innovation, a unit within the US Department of Commerce, now holds pre-release access to advanced AI models from five leading laboratories. This setup allows national security testing before public availability. The agency recently finalized agreements with Google DeepMind, Microsoft, and xAI.

New Agreements Expand Testing Capabilities

These fresh pacts enable CAISI to examine the models for potential risks to national security. AI developers share early versions, including some with lowered safety protections, to support thorough assessments. The center has conducted over 40 evaluations already, with several involving models not yet released.

CAISI Director Chris Fall stated, "Independent, rigorous measurement science is essential to understanding frontier AI and its national security implications." Such testing occurs in controlled settings, including classified ones, to identify vulnerabilities.

Building on Prior Partnerships

The latest deals extend previous arrangements with Anthropic and OpenAI. Those earlier agreements focused on collaborative safety reviews and studies on reducing risks. Anthropic, known for its Claude AI series, emphasizes constitutional AI principles in development. OpenAI, creator of the GPT models, has long partnered with US entities on safety.

The #1 Newsletter in AI

Stay ahead of the AI curve

The most important updates, news, and content — delivered weekly.

No spam. Unsubscribe anytime.

Google DeepMind, a Google subsidiary, leads in areas like AlphaFold for protein prediction and Gemini models. Microsoft integrates AI deeply into Azure cloud services and partners with OpenAI. xAI, founded by Elon Musk in 2023, aims to understand the universe through models like Grok.

Context of Rapid AI Advances

This expansion arrives amid fast progress in AI capabilities. Models now excel at detecting and using security flaws more effectively. Competition with China in technology adds urgency to these measures.

CAISI, established under the National Institute of Standards and Technology within Commerce, sets benchmarks for AI reliability. Frontier AI refers to the most powerful systems pushing computational limits. Labs provide these for preemptive checks to mitigate threats like unauthorized access or misuse.

Joint efforts include research on safeguards. Classified testing ensures sensitive data handling. Over 40 evaluations demonstrate active progress, covering diverse risks from model behaviors.

The five labs represent key players: OpenAI transformed chatbots with GPT-3 in 2020; Anthropic spun out from OpenAI in 2021; DeepMind joined Google in 2014; Microsoft invests billions in AI; xAI launched swiftly with backing from Musk's network.

These steps reflect government commitment to balancing innovation and security as AI integrates into critical sectors.

Related on Neura Market

More from Neura News

AI Models

42 Mathematicians Urge Royal Society to Warn Government and Media About AI Existential Risk

Forty-two mathematical fellows, including Fields Medal winners Martin Hairer, Peter Scholze, and Wendelin Werner, have signed an open letter urging the Royal Society to warn the UK government and media about existential risks from advanced AI. The letter follows recent breakthroughs in which leading models solved open research problems, including a Millennium Problem. None of the signatories are affiliated with AI companies. The group warns that AI labs' estimates of existential risk above ten percent must not be dismissed as hype, and that by the time the situation becomes obvious to the public, it may be too late to act.

Sep 18·2 min read
Developer

Steve Yegge Shuts Down Gas Town After Failing to Build Anything Else With It

Steve Yegge shut down Gas Town, his ultra-vibed coding agent orchestrator, after admitting he never built anything else with it despite heavy subscription spend. Databricks reported a 60% coding spend increase after rolling out GPT-6 Astra to 3,500 engineers, OpenAI published a misalignment disclosure framework with six case reports, and Xiaomi ran MiMo-V2.6 RL training in public with live telemetry.

Sep 18·21 min read