inbox/archive/.extraction-debug/2026-01-00-tang-ai-alignment-cannot-be-top-down.json

@@ -1,47 +0,0 @@
-{
-  "rejected_claims": [
-    {
-      "filename": "rlcf-sidesteps-arrows-impossibility-by-rewarding-bridging-output-not-aggregating-preferences.md",
-      "issues": [
-        "missing_attribution_extractor"
-      ]
-    },
-    {
-      "filename": "democratic-alignment-through-bridging-consensus-scales-to-national-policy-with-months-long-timelines.md",
-      "issues": [
-        "missing_attribution_extractor"
-      ]
-    },
-    {
-      "filename": "attentiveness-as-alignment-paradigm-gives-citizens-genuine-power-to-steer-technology-through-three-mutually-reinforcing-mechanisms.md",
-      "issues": [
-        "missing_attribution_extractor"
-      ]
-    }
-  ],
-  "validation_stats": {
-    "total": 3,
-    "kept": 0,
-    "fixed": 10,
-    "rejected": 3,
-    "fixes_applied": [
-      "rlcf-sidesteps-arrows-impossibility-by-rewarding-bridging-output-not-aggregating-preferences.md:set_created:2026-03-16",
-      "rlcf-sidesteps-arrows-impossibility-by-rewarding-bridging-output-not-aggregating-preferences.md:stripped_wiki_link:universal-alignment-is-mathematically-impossible-because-arr",
-      "rlcf-sidesteps-arrows-impossibility-by-rewarding-bridging-output-not-aggregating-preferences.md:stripped_wiki_link:rlhf-and-dpo-both-fail-at-preference-diversity-because-they-",
-      "rlcf-sidesteps-arrows-impossibility-by-rewarding-bridging-output-not-aggregating-preferences.md:stripped_wiki_link:pluralistic-alignment-must-accommodate-irreducibly-diverse-v",
-      "democratic-alignment-through-bridging-consensus-scales-to-national-policy-with-months-long-timelines.md:set_created:2026-03-16",
-      "democratic-alignment-through-bridging-consensus-scales-to-national-policy-with-months-long-timelines.md:stripped_wiki_link:democratic-alignment-assemblies-produce-constitutions-as-eff",
-      "attentiveness-as-alignment-paradigm-gives-citizens-genuine-power-to-steer-technology-through-three-mutually-reinforcing-mechanisms.md:set_created:2026-03-16",
-      "attentiveness-as-alignment-paradigm-gives-citizens-genuine-power-to-steer-technology-through-three-mutually-reinforcing-mechanisms.md:stripped_wiki_link:ai-alignment-is-a-coordination-problem-not-a-technical-probl",
-      "attentiveness-as-alignment-paradigm-gives-citizens-genuine-power-to-steer-technology-through-three-mutually-reinforcing-mechanisms.md:stripped_wiki_link:no-research-group-is-building-alignment-through-collective-i",
-      "attentiveness-as-alignment-paradigm-gives-citizens-genuine-power-to-steer-technology-through-three-mutually-reinforcing-mechanisms.md:stripped_wiki_link:transparent-algorithmic-governance-where-ai-response-rules-a"
-    ],
-    "rejections": [
-      "rlcf-sidesteps-arrows-impossibility-by-rewarding-bridging-output-not-aggregating-preferences.md:missing_attribution_extractor",
-      "democratic-alignment-through-bridging-consensus-scales-to-national-policy-with-months-long-timelines.md:missing_attribution_extractor",
-      "attentiveness-as-alignment-paradigm-gives-citizens-genuine-power-to-steer-technology-through-three-mutually-reinforcing-mechanisms.md:missing_attribution_extractor"
-    ]
-  },
-  "model": "anthropic/claude-sonnet-4.5",
-  "date": "2026-03-16"
-}

inbox/archive/2026-01-00-tang-ai-alignment-cannot-be-top-down.md

@@ -7,14 +7,10 @@ date: 2026-01-01
 domain: ai-alignment
 secondary_domains: [collective-intelligence, mechanisms]
 format: article
-status: null-result
+status: unprocessed
 priority: high
 tags: [rlcf, bridging-consensus, polis, democratic-alignment, attentiveness, community-feedback]
 flagged_for_rio: ["RLCF as mechanism design — bridging algorithms are formally a mechanism design problem"]
-processed_by: theseus
-processed_date: 2026-03-16
-extraction_model: "anthropic/claude-sonnet-4.5"
-extraction_notes: "LLM returned 3 claims, 3 rejected by validator"
 ---
 
 ## Content
@@ -59,12 +55,3 @@ The framework emphasizes integrity infrastructure including oversight by citizen
 PRIMARY CONNECTION: [[RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values]]
 WHY ARCHIVED: RLCF is the first mechanism I've seen that might structurally handle preference diversity without hitting Arrow's impossibility — the constructive alternative our KB needs
 EXTRACTION HINT: Focus on (1) whether RLCF formally sidesteps Arrow's theorem and (2) the Taiwan evidence as democratic alignment at policy scale
-
-
-## Key Facts
-- Audrey Tang is Taiwan's cyber ambassador and first digital minister, 2025 Right Livelihood Laureate
-- Taiwan's AI scam content legislation involved 447 randomly selected citizens
-- The Taiwan deliberative process achieved unanimous parliamentary support within months
-- Polis performs real-time analysis of public votes to identify bridging consensus
-- RLCF stands for Reinforcement Learning from Community Feedback
-- Tang's framework includes three mechanisms: industry norms, market design, and community-scale assistants