The Model Context Protocol has been revised with a 2026-07-28 spec that replaces stateful sessions with a stateless communication model. According to the report, this is the most substantial change to the protocol since it was first published, and developers building new applications on it will need to rethink their existing design assumptions.
A new standard called AEF-1 has been introduced to govern how independent third parties assess AI models. xAI, OpenAI, and Anthropic have all signed on as supporters of the effort. The move signals growing industry coordination around external evaluation practices.
Chris Lehane, OpenAI's head of global affairs, argues that as AI capabilities advance, they should be matched by stronger safety evidence and shared standards. He calls on governments to use the current moment to put durable AI policy frameworks in place before the window for action closes.
WHY IT MATTERS ↘For practitioners, the push signals that safety-evidence requirements and shared standards could soon become compliance obligations, affecting deployment timelines and raising fixed costs that favor well-resourced labs. Early frameworks also tend to embed the priorities of the companies that help shape them, making standards-setting a competitive issue as much as a governance one.