From 38ac2375e1ed61e1be70c286a072489117b72d0d Mon Sep 17 00:00:00 2001 From: Theseus Date: Thu, 12 Mar 2026 12:37:59 +0000 Subject: [PATCH] theseus: extract claims from 2025-12-00-fullstack-alignment-thick-models-value (#804) Co-authored-by: Theseus Co-committed-by: Theseus --- .../2025-12-00-fullstack-alignment-thick-models-value.md | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/inbox/archive/2025-12-00-fullstack-alignment-thick-models-value.md b/inbox/archive/2025-12-00-fullstack-alignment-thick-models-value.md index eb68eddf..400e0293 100644 --- a/inbox/archive/2025-12-00-fullstack-alignment-thick-models-value.md +++ b/inbox/archive/2025-12-00-fullstack-alignment-thick-models-value.md @@ -7,9 +7,14 @@ date: 2025-12-01 domain: ai-alignment secondary_domains: [mechanisms, grand-strategy] format: paper -status: unprocessed +status: null-result priority: medium tags: [full-stack-alignment, institutional-alignment, thick-values, normative-competence, co-alignment] +processed_by: theseus +processed_date: 2026-03-11 +enrichments_applied: ["AI alignment is a coordination problem not a technical problem.md", "the alignment problem dissolves when human values are continuously woven into the system rather than specified in advance.md", "RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values.md"] +extraction_model: "anthropic/claude-sonnet-4.5" +extraction_notes: "Extracted two novel claims about full-stack alignment and thick value models. Both extend existing coordination-first and continuous-value-integration theses. Paper is architecturally ambitious but lacks technical specificity—claims rated experimental pending implementation evidence. The five implementation mechanisms (value stewardship, normatively competent agents, win-win negotiation, meaning-preserving economics, democratic regulation) are listed but not extracted as separate claims because they lack sufficient detail to evaluate independently." --- ## Content