deterministic verifier, one model generation per attempt: at most 200 generation attempts/hour
separate model producer + model verifier: at most 100 producer/verifier pairs/hour
200/hour = 0.0556 request starts/second on sustained average
at an average 10 s model-call duration, Little's-law average in-flight capacity from that quota is only about 0.56 calls
for 1,000,000 logical superheroes sharing only this lane evenly, the budget is 0.0002 model calls/superhero/hour, or roughly one model call per 5,000 superhero-hours
Conclusion:
KILO_FREE = QUALIFIED_ZERO_COST_EXPERIMENTAL/BACKUP COGNITION, NOT MILLION-SUPERHERO PRIMARY SUBSTRATE
Multiplying IP identities to evade the quota is inadmissible.
d = fraction simultaneously requiring frontier-model inference
S = available simultaneous frontier-model streams
Necessary condition:
F * d <= S
Therefore a million logical superheroes is only plausible at $0 when d is extremely small, or when a much larger independently granted inference substrate appears.
The architecture must aggressively reduce d by:
solving exact deterministic work deterministically;
reusing verified shared knowledge/skills instead of re-reasoning;
using models only on residual uncertain cognition;
executing ordinary programs/tools outside the model;
verifying cheaply and deterministically where possible;
batching/shared preprocessing when it preserves independence of consequential work.
5. Current falsification
The latest weighted-interval spike sent 20 model calls to tasks whose exact optimum was already computed in the same script by dynamic programming. Result: 0/20 verified model outputs.
This establishes a routing failure, not a need for more inference.