Normalize all passepartout-economics to inline wiki links
Replaced every bottom-of-section 'See also:' block with inline Org-mode file: links at the first natural mention in body text. All 29 files across the economics directory now use wiki-style inline cross-references rather than standalone reference blocks.
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@@ -13,6 +13,4 @@ Four transformations flipped the economics:
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3. **Complexity saturates human verification.** Systems are tens of millions of lines. Testing is necessary but insufficient — zero-day vulnerabilities prove bugs survive all testing. Formal verification is the only known path.
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4. **Cost of failure exceeds cost of verification.** A single breach costs millions. Regulation mandates provable compliance. Proving correctness is cheaper than not proving it.
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The verification appliance (AGPL symbolic engine + RISC-V Lisp μcode on FPGA) costs $5,000/year and replaces $500,000/year in compliance audits, breach litigation, and regulatory fines.
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See also: [[file:self-driving-lisp-machine.org][Self-driving Lisp Machine]], [[file:biology-parallels.org][Biology parallels]], [[file:comparison-with-symbolics.org][Symbolics comparison]], [[file:cost-structure.org][Cost structure]], [[file:ai-industry-impact.org][AI industry impact]]
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The [[file:verification-appliance.org][verification appliance]] (AGPL symbolic engine + RISC-V Lisp μcode on FPGA) costs $5,000/year and replaces $500,000/year in compliance audits, breach litigation, and regulatory fines. This [[file:cost-structure.org][cost structure]] — zero marginal cost per additional user — is what makes Lisp economically viable at scale. The [[file:self-driving-lisp-machine.org][self-driving Lisp Machine]] is the hardware endpoint of this economic logic. For the biological analogy that explains why Lisp architecture is a natural outcome of complexity pressure, see [[file:biology-parallels.org][biology parallels]]. For the historical precedent, see the [[file:comparison-with-symbolics.org][comparison with Symbolics Genera]]. The [[file:ai-industry-impact.org][impact on the AI industry]] is the market-side consequence.
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