theseus: extract from 2025-08-00-oswald-arrowian-impossibility-machine-intelligence.md

- Source: inbox/archive/2025-08-00-oswald-arrowian-impossibility-machine-intelligence.md
- Domain: ai-alignment
- Extracted by: headless extraction cron (worker 2)

Pentagon-Agent: Theseus <HEADLESS>

inbox/archive/2025-08-00-oswald-arrowian-impossibility-machine-intelligence.md

@@ -7,9 +7,14 @@ date: 2025-08-07
 domain: ai-alignment
 secondary_domains: [critical-systems]
 format: paper
-status: unprocessed
+status: null-result
 priority: high
 tags: [arrows-theorem, machine-intelligence, impossibility, Legg-Hutter, Chollet-ARC, formal-proof]
+processed_by: theseus
+processed_date: 2026-03-11
+enrichments_applied: ["specifying human values in code is intractable because our goals contain hidden complexity comparable to visual perception.md", "AI alignment is a coordination problem not a technical problem.md", "designing coordination rules is categorically different from designing coordination outcomes as nine intellectual traditions independently confirm.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted two claims: (1) Arrow's theorem applies to intelligence measurement, making fair benchmarks impossible; (2) Meta-claim about convergent impossibility across four traditions. Applied three enrichments to existing alignment claims. This is a significant theoretical result that extends impossibility from preference aggregation to measurement itself, strengthening the structural argument for alignment constraints. Fourth independent tradition confirming impossibility pattern."
 ---
 
 ## Content
@@ -41,3 +46,10 @@ No agent-environment-based MIM simultaneously satisfies analogs of Arrow's fairn
 PRIMARY CONNECTION: universal alignment is mathematically impossible because Arrows impossibility theorem applies to aggregating diverse human preferences into a single coherent objective
 WHY ARCHIVED: Fourth independent impossibility tradition — extends Arrow's theorem from alignment to intelligence measurement itself
 EXTRACTION HINT: Focus on the extension from preference aggregation to intelligence measurement and what this means for alignment targets
+
+
+## Key Facts
+- Paper published at AGI 2025 (Conference on Artificial General Intelligence), Springer LNCS vol. 16058
+- Authors: Oswald, J.T., Ferguson, T.M., & Bringsjord, S. (RPI)
+- Affected measures: Legg-Hutter Intelligence, Chollet's Intelligence Measure (ARC), and a large class of agent-environment MIMs
+- Full paper is paywalled; extraction based on abstract and conference metadata