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This post corrects the misconception that A2A is the standard for multi-agent orchestration, clarifying that it only standardizes the wire format between agents and not the orchestration patterns or system reliability.
OpenAI outlines its vision for building standards and advancing alignment research to navigate AI development safely, emphasizing automated AI research and international cooperation.
OpenAI advocates for urgent AI policy actions, including mandatory national safety requirements, state legislation, industry-led standards, and global standards to manage AI risks and capabilities.
Consumer Reports published a Consumer Finance AI Standard; Pendragon, a personal finance AI company, self-graded against it, revealing strong compliance on six principles, partial on two, and failure on one.
Demis Hassabis published an essay arguing AGI is only a few years away, calling it the 'foothills of the singularity', and proposing a US-led Frontier AI Standards Body with mandatory safety testing for advanced models.
The article critiques MCP (Model Context Protocol), arguing that it has significant flaws or is detrimental to AI development.
Anthropic is setting a new bar in AI development, likely establishing higher standards for safety or performance.
The author argues that as AI becomes commoditized, the real advantage will come from a shared standard for how to run intelligence collaboratively. They present their own falsifiable framework, developed over 10 years, and invite critique.