Time horizon • · speed timing
Gradualism
Harms from lower capability AI are informative about harms from higher capability AI, and deployment feedback outperforms fast scaling.
Mechanism
Deploy AI widely at each capability level before advancing to the next, using observed effects to decide whether to scale.
Load-bearing commitments
Worldview positions this strategy quietly assumes. If the claim fails empirically or philosophically, the strategy loses its target or its premise.
Incremental evidence accumulates faster than risk.
Fails if: If failures are abrupt rather than gradual, incremental evidence lags the threat.
Coordinates
Conflicts, grouped by mechanism
2Frame opposition
incompatible premisesThe strategies accept different premises about what AI is or what the binding problem is. They conflict not on lever choice but on the frame that makes lever choice sensible.
Complements, grouped by mechanism
4Stage-sequenced
one sets up the otherThe pair is phase-offset: one acts before the transition, the other during or after. The first creates the conditions under which the second binds.
Adjacent bet
different levers, loosely coupledDifferent levers, different directions of action. They reinforce only via the general principle that covering more bets dominates covering fewer.
Same-lever twins
2Both use the same lever in the same direction. Usually redundant inside a portfolio: each dollar or effort unit only buys one lever pull, even if two strategies are named.
Axis position
Source note: Gradualism as strategy.md