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A community demonstration of 'Weight Space Programming' shows models reading and editing neural network weights directly. That removes the training run from the self-improvement loop, and agent governance has nothing pointed at it.
Coding and personal agents remove the friction that once limited spending on paid APIs. Simon Willison argues for default hard budget caps, and the platform market has little reason to build them unprompted.
Directly Responsible Individual frameworks assume a human decision-maker at the end of every project. Agents don't fit that model, and the mismatch is quietly reshaping how teams assign ownership.
Fable's regulatory ban and its jailbreak problem are not two stories. They are the same story: when governments and adversaries both press on an agent's trust boundary, the economics of deployment change for everyone.
