cc3976fb7f
- Split competitive-analysis-2026-05.org → TOC + 9 competitor files in ideas/competitors/. Dropped date from filename. All competitor UUIDs generated, TOC keeps original UUID for backlink continuity. - Deleted passepartout-economics.org archive (replaced by 27-node KB). - Inlined 5 'See also' blocks into natural prose (compliance-index, first-mover-window, revenue-table, orders-of-magnitude-time, native-org-knowledge-base). - Linked 7 orphan compliance pages back to compliance index + finished truncated sentences. - Linked all 14 Agora requirement docs from topic-relevant pages (identity→lisp-machine-security, infrastructure→compute-marketplace, social-space→growth-strategy, exchange→agora-contracts, etc.). - Linked ai-industry-impact from investment-thesis, sufficiency-flip, verification-appliance, effects-growth-flywheel (up from 1 to 10+ pages). - Fixed CREATED timestamps to use git commit dates instead of today. - Made all links absolute from root (no port inheritance). - Removed stale agora/docs/ duplicate content.
19 lines
1.6 KiB
Org Mode
19 lines
1.6 KiB
Org Mode
:PROPERTIES:
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:CREATED: [2026-05-24 Sun]
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:ID: 45ea493b-94ad-5885-aa65-0c846e5c3c1d
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:END:
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#+title: Gate Rule Encoding from Codified Domains
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#+filetags: :passepartout:gates:rules:encoding:llm:translation:
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Laws, regulations, standards, procedures, and technical specifications are already written down in structured text. The LLM does not need to *reason* about them — it needs to *translate* them into gate rules and ACL2 theorems.
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Example: The US Federal Acquisition Regulation (FAR) is ~2,000 pages. A frontier LLM can ingest the FAR and produce a plist of gate rules:
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- (if contract > $250K AND not small-business-set-aside → :deny)
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- (if sole-source AND no justification-documented → :deny, produce-justification)
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ACL2 verifies the rule set for internal consistency. Screamer checks against existing compliance facts. The human reviews the bootstrap output and approves or corrects individual rules.
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The key distinction: the LLM is not *extracting knowledge from prose* — it is *translating a known rule system into a formal representation.* The result is not "the LLM's best guess" but "the rule set as stated in the source document, mechanically transcribed."
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For codified domains, the encoding cost drops from weeks to hours. The only bottleneck is human review of the 5% ambiguous rules. This is what makes the [[id:efc76898-03f7-57ba-923d-35d65da88bb7][sufficiency flip]] economically viable — once gates are encoded, verification is near-free. The resulting rules are packaged into [[id:c34940cc-090e-57c4-8020-e78b1d32b96c][domain gate packages]] that can be reused across deployments.
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