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

@@ -0,0 +1,47 @@
+{
+  "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

@@ -7,10 +7,14 @@ date: 2026-01-01
 domain: ai-alignment
 secondary_domains: [collective-intelligence, mechanisms]
 format: article
-status: unprocessed
+status: null-result
 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
@@ -55,3 +59,12 @@ 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