OpenAI and Los Alamos National Laboratory announce a partnership to evaluate how multimodal AI models can be used safely by scientists in laboratory settings
Evan Gorelick / Bloomberg :
Context & Ripple Effects
This collaboration sits early in a broader arc of OpenAI working with public-sector research and safety institutions. It was followed by plans for US national laboratories to use o1 models, including work to deploy a model on Los Alamos' Venado supercomputer expanding model use at Los Alamos.
The partnership also foreshadowed more formal external scrutiny: OpenAI and Anthropic later agreed to provide the US AI Safety Institute early access to major models early-access government evaluations, while OpenAI later flagged elevated biosecurity concerns in upcoming models higher-risk model capabilities.
First-order effects
- Los Alamos gains a direct role in testing how multimodal models behave in scientific laboratory workflows, rather than assessing their safety solely through general-purpose benchmarks.
- OpenAI gains domain-specific feedback on laboratory use cases and risks, giving its safety work an institutional research setting.
Second-order effects
- The collaboration creates a practical reference point for other AI developers and research labs considering whether multimodal systems need specialist evaluation before scientific deployment.
- It strengthens the case for safety testing to track the contexts in which models are used—especially where scientific assistance can carry dual-use implications—rather than treating model capability as a standalone question.
Third-order effects
- If such partnerships become routine, access to advanced models for sensitive research may increasingly be paired with evaluations run by national laboratories or government-linked institutions.
- The longer-term shift is toward AI labs building strategic legitimacy through externally credible safety processes, though this single partnership does not establish a universal deployment standard.
The trend: Frontier AI providers are tying scientific access to increasingly formal, domain-specific safety evaluation with public research institutions.