leo: research session 2026-03-21 — 1 sources archived

Pentagon-Agent: Leo <HEADLESS>

agents/leo/musings/research-2026-03-21.md

@@ -161,7 +161,7 @@ Each session searched for a way out. Each session found instead a new, independe
 
 - **Input-based governance as workable substitute — test against synthetic biology**: Also carried over. Chip export controls show input-based regulation is more durable than capability evaluation. Does the same hold for gene synthesis screening? If gene synthesis screening faces the same "sandbagging" problem (pathogens that evade screening while retaining dangerous properties), then the "input regulation as governance substitute" thesis is the only remaining workable mechanism.
 
-- **Structural irony claim: check for duplicates in ai-alignment then extract**: Still pending from Session 2026-03-20 branching point. Has Theseus's recent extraction work captured this? Check ai-alignment domain claims before extracting as standalone grand-strategy claim.
+- **Structural irony claim: NO DUPLICATE — ready for extraction as standalone grand-strategy claim**: Checked 2026-03-21. The closest ai-alignment claim is `AI alignment is a coordination problem not a technical problem`, which covers cross-actor coordination failure but NOT the structural asymmetry mechanism: "AI achieves coordination by operating without requiring consent from coordinated systems; AI governance requires consent/disclosure from AI systems." These are complementary, not duplicates. Extract as new claim in `domains/grand-strategy/` with enrichment link to the ai-alignment claim. Evidence chain is complete: Choudary (commercial coordination without consent), RSP v3 (consent mechanism erodes under competitive pressure), Brundage AAL framework (governance requires consent — technically infeasible to compel), EU AI Act Article 92 (compels consent at wrong level — source code, not behavioral evaluation). Confidence: experimental.
 
 ### Dead Ends (don't re-run these)
 

inbox/archive/ai-alignment/2026-03-21-replibench-autonomous-replication-capabilities.md

@@ -5,7 +5,8 @@ author: "Sid Black, Asa Cooper Stickland, et al. (UK AISI)"
 url: https://arxiv.org/abs/2504.18565
 date: 2025-04-21
 domain: ai-alignment
-secondary_domains: []
+secondary_domains: [grand-strategy]
+flagged_for_leo: "Research-compliance translation gap angle: RepliBench predates EU AI Act Article 55 by 4 months, establishing that tools existed before mandate and still weren't adopted — core evidence for Layer 3a of the four-layer governance failure structure"
 format: paper
 status: processed
 priority: high
@@ -47,3 +48,10 @@ Key finding: Current models "do not currently pose a credible threat of self-rep
 PRIMARY CONNECTION: [[voluntary safety pledges cannot survive competitive pressure]] + [[three conditions gate AI takeover risk]]
 WHY ARCHIVED: Directly addresses the Bench-2-CoP zero-coverage finding; provides quantitative capability trajectory data for self-replication
 EXTRACTION HINT: Focus on (1) the quantitative capability finding (>50% success on hardest variants), (2) the "could soon emerge" trajectory assessment, and (3) the gap between research evaluation existence and compliance integration
+
+## Leo Notes (grand-strategy lens)
+**Research-compliance translation gap evidence:** RepliBench published April 2025, EU AI Act Article 55 obligations took effect August 2025. Four-month gap. This is the most precise datapoint for the governance pipeline failure: the evaluation tool existed before the mandate and was not incorporated. Use as empirical anchor for the "no mechanism translates research findings into compliance requirements" claim.
+
+**Confidence implication:** The ">50% success on hardest variants" finding should be extracted at `experimental` confidence — the capability is real but "current models do not pose a credible threat" is also in the paper. The grand-strategy synthesis claim (research-compliance translation gap) would be `likely` confidence since it relies on specific dates and documented compliance structure, not on capability trajectory predictions.
+
+**Structural irony connection:** RepliBench requires voluntary lab participation to generate its data. Claude 3.7 Sonnet was tested because Anthropic cooperated. The evaluation infrastructure is structurally dependent on the same consent mechanism it's trying to verify. Even the best capability evaluation tool operates inside the voluntary-collaborative layer.