September 29 Made the AI Control Problem Visible
Persistent agents, internal warnings, litigation and federal scrutiny converged around the same problem: what happens when AI is allowed to act.
Buckner Intelligence Group
Research & field notes
Evidence-bounded work on governed AI systems, operational intelligence, reliability, and the architecture required to make AI useful in real operations.
Why AI Agents Shouldn’t Grade Their Own Work
Independent verification requires more than a second model.
AI Governance Has More Than One Failure Mode
What the 2026 fight over frontier AI shows about technical risk, human misuse, corporate incentives, regulatory capture, and government power.
Failure Should Be a First-Class Object in AI Systems
Logging a failure is not the same as learning from it. A mature system should preserve material failures as governed state that changes future execution, verification, or authority.