Observed arrival · 2026-09-16
Informational Autoimmunity and the Cost of Ungoverned AI
A UPTICK Research working paper proposes a framework for how unchecked LLM output can overwhelm the people and institutions expected to verify it.
Field notes
The working paper models LLM deployment as a mismatch between the cost of producing information and the capacity to verify it. Its proposed mechanism includes a “Verification Tax,” a Jevons-type increase in attention demand, and five hypothesized forms of human cognitive-capital displacement. The paper also outlines a measurement protocol for decision-velocity decay and says that protocol is being instrumented in live organizational engagements, while cautioning that its quantitative magnitudes remain hypotheses rather than findings.
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