⚡️The companies building the new intelligence layer are starting to build the institutions that govern the intelligence layer. That creates two forces at once. One is genuinely stabilizing. Frontier systems are moving faster than ordinary legislative machinery. Shared evaluations, incident reporting, capability thresholds, and common safety practices could emerge much faster through technical coordination. The other is power concentration. Standards can become barriers to entry. If compliance eventually requires expensive evaluations, specialized infrastructure, approved methodologies, or access to proprietary testing systems, the largest labs gain an enormous advantage. Safety architecture can become market architecture. So the body could evolve into something much more consequential than a standards committee: a private constitutional convention for machine intelligence. And the most important question becomes: Who gets to define what counts as acceptable cognition? Because once AI systems become embedded in medicine, finance, defense, science, infrastructure, education, and government, “safety standards” start touching what models are allowed to know, do, access, optimize, and decide. At that point the standards body is no longer merely regulating software behavior. It is helping define the permitted operating envelope of synthetic intelligence. That is the real signal here. The AI industry is beginning to institutionalize itself. First came the models. Then the infrastructure. Now come the rules. And whoever writes the rules may end up shaping the shape of intelligence itself.