This paper classifies intelligence output by token economics — how computational spend is deployed relative to human-sourced signal. When AI reasoning reaches ceiling, the outputs of fully automated systems become probabilistically fungible. The only distinguishing variable is whether the input contained human-nature-sourced information unreachable by the training distribution. Three modes emerge: (1) The Token Burn — unbounded spend, zero ongoing human signal, maximally powerful and maximally replaceable; (2) The Token Precise — minimal spend, deterministic pass/fail validation of human-sourced claims, maximally irreplaceable; (3) The Creative Middle — variable spend, joint human-machine authorship, partially replaceable. A fourth ambient condition describes AI influence on human reasoning without conscious mode selection. Mode 2 is instantiated by the SECS Sovereign reference implementation, where 110,000 messages across 10 production adaptors are validated deterministically at 4.68 µs/msg with zero false outcomes.
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Jay Andrew Carpenter (Sun,) studied this question.
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