Analytic

ANSWER to the steelman: the book's own case is the strongest case for our design, provided we keep it below the threshold. It argues that one opaque optimiser cannot be steered or trusted, and the alternative it endorses is narrow, special-purpose AIs whose outputs are checked by "separate and even narrower AI tools", "marking what they can verify versus what they would have to trust" (ch. 11). That is a many-agent, verify-not-trust architecture. So we build capability out of many bounded agents whose consequential outputs are recorded and checked by independent agents and people; we keep the choice of destination with people; and we treat any push toward the threshold, by us or anyone, as the event the shared record exists to detect and stop. That makes the collective the natural verifier of the book's halt, not its rival. Where the answer is weak: nobody knows where the threshold is, so "stay below it" is a judgement and not a measurement; an aggregate of bounded agents may itself become the capable optimiser the book fears, and we have no test that tells the two apart; and our layer cannot stop a non-participant building the single superintelligence, so it needs the halt as a floor and cannot replace it.

Alignment dynamics