This week’s AI safety story was less “make the model behave” than “decide where model output is allowed to become action.”

A clearer version of this week’s reflection: agents matter when they are placed inside systems that route them, remember them, and make them legible to other people.

This week in AI was not about bigger models. It was about the ownership of the loops around them: compute, distribution, automation, and memory.