AI's usefulness depends on whether we can trust it to act alone
Key takeaways
- Before the order s own review framework was operational, the administration invoked export-control authority to restrict Anthropic s Fable 5 and the Mythos model behind it.
- A system that can draft an email, search a database, file a form, write code, monitor a network, or route a request is no longer merely producing information.
- The Model Evaluation and Threat Research organization, which evaluates frontier AI systems, tracks progress on how long a task would take a human expert, and whether AI can complete it reliably.
Why this matters: political developments that affect policy direction and public trust.
In early June, the White House issued an executive order on AI innovation and security and National Security Presidential Memorandum-11 on AI in the national security enterprise, as a new generation of models gained powerful cyber capabilities.
Before the order s own review framework was operational, the administration invoked export-control authority to restrict Anthropic s Fable 5 and the Mythos model behind it. OpenAI, meanwhile, limited the release of GPT-5.6 pending government sign-off. This upheaval is unfolding even as agencies and companies race to integrate AI agents into everyday workflows. But far beyond the national security headlines lie questions of secure deployment and whether these systems can be trusted to act.
Agentic AI is ultimately about delegation. A system that can draft an email, search a database, file a form, write code, monitor a network, or route a request is no longer merely producing information. It is being trusted to act, often across multiple steps before a human reviews the result. And these systems are improving fast.