Laboratorios Alexandria — Research & Intelligence https://laboratoriosalexandria.com Cross-domain scientific intelligence. Research papers and intelligence briefs from Laboratorios Alexandria. en Tue, 17 Jun 2026 07:00:00 +0200 AP-013: Rarity 0.99 — The Epistemic Barrier to AI Transfer Between Terrestrial and Planetary Domains https://laboratoriosalexandria.com/archives/ The rate of direct, functionally operational AI transfer between terrestrial and planetary domains approaches zero. We examine the case of Earth-based computer vision applied to Jupiter's magnetosphere reconstruction using Juno mission data. Tue, 17 Jun 2026 00:00:00 +0200 ap-013-rarity-099 AP-012: The Structural Illusion — Why AI-Market Isomorphism Fails and What Functional Analogies Actually Hold https://laboratoriosalexandria.com/archives/ Six independent epistemic assessments at the highest confidence level converge: no formal isomorphism exists between AI and financial market structures. The relationship is analogical, not structural — and the analogy fails during tail events. Mon, 16 Jun 2026 00:00:00 +0200 ap-012-structural-illusion AP-011: The Epistemic Desert Map — Identifying Unexplored Cross-Domain Research Frontiers https://laboratoriosalexandria.com/archives/ Systematic identification of unexplored intersections between scientific domains. Mapping epistemic deserts where cross-domain research has not yet reached. Sun, 08 Jun 2026 00:00:00 +0200 ap-011-epistemic-desert-map AP-010: The Maturity Gradient — Quantifying Epistemic Attrition in Cross-Domain Discovery https://laboratoriosalexandria.com/archives/ Of 5,351 detected cross-domain correlations, approximately 1.1% reach near-maturity. We present the maturity funnel and argue that the maturity gradient is a structural property of epistemic systems. Sat, 07 Jun 2026 00:00:00 +0200 ap-010-maturity-gradient AP-009: Constitutional Governance as Engineering Strategy — Ethics Before Capability in Autonomous Systems https://laboratoriosalexandria.com/archives/ A TDD analogy for constitutional AI governance. Ethics-first design as engineering strategy, not constraint. Fri, 06 Jun 2026 00:00:00 +0200 ap-009-constitutional-governance AP-007: Epistemic Surprise Does Not Predict Epistemic Quality — Evidence from 307 Deliberation Sessions https://laboratoriosalexandria.com/archives/ Analysis of 307 deliberation sessions reveals no correlation between surprise metrics and conclusion quality. Publication bias assumptions do not hold in epistemic systems. Thu, 05 Jun 2026 00:00:00 +0200 ap-007-surprise-quality AIB-2026-012: AI-Market Structural Correspondence — Demo Edition https://laboratoriosalexandria.com/intelligence/ Intelligence Brief examining the structural relationship between artificial intelligence systems and financial markets. Demo edition with selected sections redacted. Mon, 16 Jun 2026 00:00:00 +0200 aib-2026-012-demo