extract: 2025-02-04-futardio-proposal-should-a-percentage-of-sam-bids-route-to-mnde-stakers #981
2 changed files with 57 additions and 1 deletions
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"alignment-impossibility-converges-across-three-mathematical-traditions.md:set_created:2026-03-15",
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"rejections": [
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"date": "2026-03-15"
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}
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@ -7,9 +7,13 @@ date: 2025-02-01
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domain: ai-alignment
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secondary_domains: [collective-intelligence]
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format: paper
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status: unprocessed
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status: null-result
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priority: high
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tags: [impossibility-result, agreement-complexity, reward-hacking, multi-objective, safety-critical-slices]
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processed_by: theseus
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processed_date: 2026-03-15
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extraction_model: "anthropic/claude-sonnet-4.5"
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extraction_notes: "LLM returned 3 claims, 3 rejected by validator"
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---
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## Content
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@ -48,3 +52,9 @@ Formalizes AI alignment as a multi-objective optimization problem where N agents
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PRIMARY CONNECTION: [[universal alignment is mathematically impossible because Arrows impossibility theorem applies to aggregating diverse human preferences into a single coherent objective]]
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WHY ARCHIVED: Third independent impossibility result from multi-objective optimization — convergent evidence from three mathematical traditions strengthens our core impossibility claim
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EXTRACTION HINT: The convergence of three impossibility traditions AND the "consensus-driven reduction" pathway are both extractable
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## Key Facts
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- Paper presented as oral presentation at AAAI 2026 Special Track on AI Alignment
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- Formalizes AI alignment as multi-objective optimization problem with N agents and M objectives
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- Paper identifies 'No-Free-Lunch principle' for alignment: irreducible computational costs regardless of method sophistication
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