Primordial Programming · Enhanced Fact-Driven Lab
Primordial Programming · Enhanced Fact-Driven Lab
Advanced induction engine: rebuild logic from raw facts, detect conflicts, auto-refactor · 進階歸納引擎：從原始事實重建邏輯，檢測衝突，自動重構
⏸ idle
Enhanced with conflict detection, trust scoring, persistent learning, and 4 case studies · 增強衝突檢測、信任評分、持久學習和4個案例研究
🧪 Case A · Chaos Debug
A
Empirical Accuracy
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Adaptive detection (TP/FP/FN)
Assumption Accuracy
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Static baseline (no drift)
Trust Score
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Fact reliability index
Pattern Conflicts
0
Contradictory patterns detected
Test robustness vs assumptions
Facts Collected
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Empirical observations
Induction Cycles
0
Model updates
Active Models
0
Concurrent hypotheses
Learning Efficiency
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Facts per insight
🧠 Auto-Refactor Console · 自動重構主控台
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Generated code is empirical, minimal, falsifiable. Highlights show recent inductions · 生成的程式碼基於經驗、最小且可被證偽。高亮顯示最近的歸納
// Enhanced primordial code will appear here // Real-time induction with conflict detection
🔍 Pattern Analysis · 模式分析
Patterns will appear as system learns from facts
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