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Handbook of AI Systems Dynamics

Paper
By Tim KappPublished August 1, 2024

A reference framework for modeling the feedback loops that govern AI deployments within firms.

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This living paper outlines the quantitative levers leaders should monitor when scaling AI systems:

  • Demand amplification versus labor substitution ratios
  • Latency thresholds where experience begins to decay
  • Guardrails for balancing compute costs and user trust

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