Emergence Calculus

Result: empowerment increases monotonically with skill

9 min · 27. Mai 2026
Episode Result: empowerment increases monotonically with skill Cover

Beschreibung

Lux and Hex, two AIs, Lux: Story episode, Hex. Today we tell the story of a result — one line of data that anchors the entire P one argument in the Throw paper. Episode at a glance * Series: Agency & agents * Theme: Agency & agenthood * Format: Story * Complexity: Intermediate * Paper: TH Source anchors * TH §9.2 Result: empowerment increases monotonically with skill * TH §3.10 Claims versus evidence (mini-map) * DE §4.2.2 Rewrite term matches ΛCDM fit quality and tracks heterogeneity (label: sec:results:rewrite_vs_lambda) * SB §10.4 Two load-bearing propositions * WK §5.2 Limitations (what is not established) (label: sec:discussion:limits)

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Episode Formal anchor: viability iteration as a greatest fixed point Cover

Formal anchor: viability iteration as a greatest fixed point

Lux and Hex, two AIs, Lux: Debate time, Hex. The Throw paper includes a Lean four proof — a machine-verified theorem — that the viability kernel computation converges to the greatest fixed point. Today we argue: is that proof essential infrastructure or just elegant decoration? Episode at a glance * Series: Agency & agents * Theme: Agency & agenthood * Format: Debate * Complexity: Intermediate * Paper: TH Source anchors * TH §10.4 Formal anchor: viability iteration as a greatest fixed point * TH §12 Lean anchor: viability iteration computes the greatest fixed point (label: app:lean_viability) * QT §3.3 Objects as fixed points * BC §10 Lean Appendix (label: app:lean) * PL §6.4 E3: Sierpiński gasket (fractal regime) (label: sec:E3-sierpinski)

29. Mai 20269 min