wip

Author: acharneski

_layouts/default.html

@@ -23,15 +23,24 @@
     // Matrix Rain Effect
     function createMatrixRain() {
       const matrixContainer = document.getElementById('matrixRain');
+      if (!matrixContainer) return;
+      
       const chars = '01アイウエオカキクケコサシスセソタチツテトナニヌネノハヒフヘホマミムメモヤユヨラリルレロワヲン';
-      for (let i = 0; i < 50; i++) {
+      
+      // Clear existing columns first
+      matrixContainer.innerHTML = '';
+      
+      for (let i = 0; i < 30; i++) {
         const column = document.createElement('div');
         column.className = 'matrix-column';
-        column.style.left = Math.random() * 100 + '%';
-        column.style.animationDuration = (Math.random() * 3 + 2) + 's';
-        column.style.animationDelay = Math.random() * 2 + 's';
+        column.style.left = (i * 3.33) + '%';
+        column.style.animationDuration = (Math.random() * 4 + 3) + 's';
+        column.style.animationDelay = Math.random() * 5 + 's';
+        column.style.animation = `matrix-fall ${column.style.animationDuration} linear infinite`;
+        column.style.animationDelay = column.style.animationDelay;
+        
         let text = '';
-        for (let j = 0; j < 20; j++) {
+        for (let j = 0; j < 15; j++) {
           text += chars[Math.floor(Math.random() * chars.length)] + '<br>';
         }
         column.innerHTML = text;

assets/css/style.css

@@ -533,16 +533,29 @@ pre code {
 }
 .matrix-column {
   position: absolute;
-  top: -100%;
   color: #00ff41;
   font-family: 'Share Tech Mono', monospace;
-  font-size: 14px;
+  font-size: 12px;
   line-height: 1.2;
   text-shadow: 0 0 5px #00ff41;
+  opacity: 0.8;
   animation: matrix-fall linear infinite;
 }
 @keyframes matrix-fall {
-  to { top: 100%; }
+  0% { 
+    transform: translateY(-200px);
+    opacity: 0;
+  }
+  5% {
+    opacity: 0.8;
+  }
+  95% {
+    opacity: 0.8;
+  }
+  100% { 
+    transform: translateY(calc(100vh + 200px));
+    opacity: 0;
+  }
 }
 /* TERMINAL WINDOW */
 .terminal-window {

social/game_theory_ethics.md

@@ -8,34 +8,56 @@ collection: social
 
 ## Abstract
 
-This paper examines how two ostensibly beneficent institutional systems—healthcare and family law—can become
-structurally misaligned with the interests of their intended beneficiaries. Through a game-theoretic lens, we analyze
-how rational actors within these systems create equilibria that maximize institutional utility while often minimizing
-outcomes for the vulnerable populations they purport to serve. We argue that both systems exhibit similar patterns of
-incentive misalignment, information asymmetries, and capture by professional interests that transform life's most
-vulnerable moments into profit-maximizing enterprises.
+This paper presents a game-theoretic analysis of institutional failure across five critical domains: healthcare, family
+law, higher education, criminal justice, and enterprise IT infrastructure. We demonstrate how systems designed to serve
+vulnerable populations or improve organizational efficiency systematically evolve to maximize professional employment
+and revenue extraction rather than their stated objectives. Through computational experiments and empirical analysis, we
+identify common patterns of perverse incentives, information asymmetries, and professional capture that transform
+essential services into mechanisms of exploitation. Our findings reveal that these pathologies stem from a deeper
+structural issue: scarcity-based economic systems that require individuals to justify their survival through
+increasingly elaborate professional interventions. We further analyze how artificial intelligence adoption represents a
+critical inflection point, where the tension between technological efficiency and employment preservation creates
+unstable equilibria that will likely collapse rapidly, potentially enabling a transition to post-scarcity institutional
+designs that could finally align system incentives with human flourishing.
 
 ## Introduction
 
-Modern societies create institutional frameworks to manage critical human experiences—death, family dissolution,
-education, crime. These systems emerge with stated goals of protection, healing, justice, and advancement. Yet empirical
-observation suggests that institutional evolution often diverges from founding principles, creating what we term "
-malevolent equilibria": stable configurations where rational self-interest by system participants systematically
-produces outcomes contrary to stated institutional purposes.
-However, this analysis must acknowledge that not all institutions follow this trajectory. Some healthcare systems,
-particularly in Nordic countries, have successfully maintained patient-centered end-of-life care. Some jurisdictions
-have implemented effective restorative justice programs. These counter-examples suggest that institutional capture is
-not inevitable but rather the product of specific structural conditions we seek to identify.
-
-These systems share a troubling characteristic: they exploit fundamental human vulnerabilities by targeting moments when
-individuals have no choice but to engage with them. You cannot opt out of dying, avoid family court when your spouse
-files for divorce, circumvent credential requirements for employment, or escape the criminal justice system once
-ensnared. This captive audience creates ideal conditions for what we term "compassionate exploitation"—the extraction of
-resources under the moral authority of helping.
-
-This paper examines four paradigmatic cases: end-of-life medical care, family law proceedings, higher education
-financing, and criminal justice systems. All involve vulnerable populations, complex professional intermediaries, and
-institutional structures that claim beneficent intent while often delivering prolonged suffering and dependency.
+Modern institutions tasked with managing society's most critical functions—healthcare, justice, education, family
+welfare, and technological infrastructure—exhibit a disturbing pattern: they systematically produce outcomes
+antithetical to their stated purposes. This paper employs game theory and computational modeling to analyze how rational
+actors operating within these systems create stable equilibria that maximize institutional benefit while minimizing
+welfare for intended beneficiaries.
+
+The phenomenon we examine transcends simple corruption or incompetence. Instead, we identify a systematic transformation
+whereby institutions originally designed to address human needs evolve into self-perpetuating employment systems that
+require the continuation of the very problems they purport to solve. A hospital system ostensibly dedicated to healing
+develops economic incentives to prolong suffering. A justice system intended to rehabilitate creates dependencies on
+recidivism. Educational institutions meant to disseminate knowledge construct elaborate barriers to learning. IT
+departments tasked with simplifying operations systematically complexify them.
+
+This institutional capture operates through three primary mechanisms. First, professional intermediaries position
+themselves as essential gatekeepers between institutions and their beneficiaries, creating information asymmetries that
+prevent direct assessment of value. Second, these professionals develop complex procedural requirements that justify
+their continued involvement while obscuring simpler solutions. Third, the moral authority inherent in "helping"
+professions shields these practices from scrutiny—questioning a hospital's treatment protocols appears to challenge
+medicine itself, not merely its economic incentives.
+
+Our analysis reveals that these patterns emerge not from individual malice but from structural features of
+scarcity-based economic systems. When professionals must justify their economic existence through billable activities,
+the incentive to solve problems permanently conflicts with the need for continued employment. This creates what we
+term "malevolent equilibria"—stable states where rational self-interest by system participants produces systematically
+harmful outcomes for those they serve.
+
+The timing of this analysis is critical. Artificial intelligence capabilities now threaten to expose and potentially
+eliminate these inefficiencies, creating a high-stakes game between technological progress and employment preservation.
+Our computational experiments demonstrate that current AI deployment patterns reflect not technical limitations but
+strategic choices to preserve professional employment. However, we show this equilibrium is inherently unstable and
+likely to collapse rapidly once competitive pressures reach a critical threshold.
+
+Through detailed case studies, computational simulations, and empirical validation, we demonstrate that institutional
+misalignment is not an inevitable feature of complex societies but rather a specific pathology of scarcity-based
+economics. By understanding these dynamics through a game-theoretic lens, we can begin to envision and design
+institutions that serve their stated purposes rather than perpetuating the problems they claim to solve.
 
 ## Theoretical Framework
 
@@ -1689,5 +1711,4 @@ class ExecutionEnvironment {
 }
 ```
 
-This specification provides a comprehensive framework for implementing the computational experiments described in the paper while maintaining flexibility for extension and modification as research progresses.
-
+This specification provides a comprehensive framework for implementing the computational experiments described in the paper while maintaining flexibility for extension and modification as research progresses.