AI Civilization Stress-Test & Institutional Dynamics Simulator

Institutional Stress Presets

Perturbation Levers

AI Autonomous Agency 0.75

Autonomous execution in governance & finance

Synthetic Content Saturation 0.80

Ratio of synthetic language in epistemic commons

Verification Bandwidth 0.35

Institutional capacity to audit truth & identity

Human Friction Protocols 0.20

Mandatory pauses, signatures & bot limits

Harari's Core Thesis

"By mastering language, AI has hacked the operating system of civilization. It can master intimacy, forge religion, and construct bureaucratic consensus without biological constraints."

Epistemic

Power

Intimacy

Finance

Systemic Diagnostics

Epistemic Integrity 34.2

Consensus stability & factual trust

Power Concentration 78.5

Algorithmic centralization of authority

Social Cohesion 41

Interpersonal solidarity vs synthetic atomization

Systemic Fragility State

High Epistemic Strain

Critical Bottleneck

Verification Bandwidth Deficit

Synthetic narrative generation vastly outpaces verification capacity, causing rapid degradation in shared social reality.

Recommended Policy Action

Mandatory Machine Identification & Synthetic Agent Rate-Limiting

Establish legal liability for synthetic personation and mandate non-forgeable cryptographic watermarking at generative gateways.

The Economist Insider System Dynamics • Framework by Yuval Noah Harari

Civilization scores: linear assumptions and a cohesion fixture

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The civilization simulator computes three authored indices from autonomy, synthetic content, verification and human friction. At its exact default configuration, a special fixture returns social cohesion forty one. Evaluating the generic equation with the same inputs instead gives forty eight minus twenty five point six minus nineteen point five plus four point eight plus seven plus sixteen point three, or thirty one. Bars compare the fixed forty one and generic thirty one at five pixels per index point. The integrity and concentration defaults do match their generic formulas, thirty four point two and seventy eight point five. These are coded assumptions rather than measurements of democratic cohesion or a scientifically validated causal model. The verification coefficient is positive thirty five for integrity, negative twenty for concentration and positive twenty for cohesion. Raising verification from point three five to one gives delta point six five, adding twenty two point seven five integrity and subtracting thirteen concentration. Generic intended results are integrity about fifty seven, concentration sixty five point five and cohesion forty four after rounding. Bars compare original thirty four point two and hypothetical fifty seven at four pixels per point. These are mathematical counterfactuals rather than observed political outcomes. In the actual offline original, graph initialization throws when D3 is unavailable before control listeners are registered, so the native verification range can move but captions remain the original fixture. No functioning causal intervention is claimed. Status is determined by threshold branches: integrity below forty or concentration above seventy five yields high strain. Otherwise integrity below sixty, concentration above sixty or cohesion below fifty yields moderate drift; remaining states get a resilient label. Bars encode integrity boundaries forty and sixty at four pixels per point. Intervention wording follows additional input tests without independently establishing policy efficacy. The graph uses authored domain nodes, relationships and stressed edge styling rather than an estimated structural causal model. Offline original metrics initialize before graph failure, but event setup and export registration never run. Independent native attempted input and export checks preserve this dependency failure, original static SVG and all footer placement across four viewport transitions. Source narratives remain unverified, and this local narrated draft is neither public publication nor exhaustive functional or sociological approval.