Control mechanism

Useful AI does not require unrestricted actuation; strong capability in a contained system is better than limited capability uncontained.

The same capability that makes AI dangerous makes it uniquely useful for automating alignment research and oversight.

Technical alignment is solvable before critical capability thresholds close, and aligned systems compose safely into aligned populations.

AI attacks happen at speeds humans cannot observe; defence must happen in AI, with guardian AI systems continuously evaluating adversary AI.

Mechanistic understanding is a precondition for reliable oversight; behavioural evaluation without interpretability cannot rule out deceptive alignment.

Safety is a property that can be mathematically specified and mechanically verified for the class of systems being built.

Western alignment assumes isolable preferences can be learned and matched; role ethics treats behaviour via fit with position and relationship, producing a less brittle, more context-sensitive standard.

Alignment frames AI as tool for an external principal; a dharma frame treats AI as a type of entity whose safety is conformity to its fitting functions.

The dominant alignment frame produces the wrong problem statement; switching frames either dissolves the problem or recasts it as tractable.