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Compiling Thought: Building a Prompt Compiler for Self-Improving AI
Thoughts of Algorithms
Document Intelligence: Turning Documents into Structured Knowledge
Learning to Learn: A LATS-Based Framework for Self-Aware AI Pipelines
Dimensions of Thought: A Smarter Way to Evaluate AI
Programming Intelligence: Using Symbolic Rules to Steer and Evolve AI
Adaptive Reasoning with ARM: Teaching AI the Right Way to Think
General Reasoner: The smarter Local Agent
Self-Improving Agents: Applying the Sharpening Framework to Local LLMs

Recent Posts

The AI Application Gap: Why Capability Is Not Deployment
Warranted Search: When AI Must Prove Before It Looks
Thinking in Primitives: Why AI Reasoning Should Learn to Point
AI and the End of Easy Growth
Delta Memory: Cargo-Culting Human Memory with Search
Codex Manager: Building a Prompt-State Runtime for Hackathon-Grade Code Optimization
Cognitive Graphs: A General Architecture for Replayable Reasoning
AI as an Amplifier, Not a Utility
🎂 CAKE: Cognitive Amplification Knowledge Engine
The Answering Machine Effect
Beyond Hallucination Energy: A Three-Dimensional Framework for Reliable AI Outputs
Living Against Parkinson’s: A Practical Guide to Fighting Back
The Silent Reset: Currency Devaluation and the Extension of the Debt Cycle
The Eye That Sees
Canada: When Interest Meets Reliable Revenue
From Fuel Protests to Fiscal Risk: What’s Really Happening in Ireland
Real Problems. AI Solutions.
A Memory Gate for AI: Policy-Bounded Acceptance in the Executable Cognitive Kernel
Intelligence Through Execution: The Executable Cognitive Kernel
The “Negative Contrast Trap”: Why AI Writing Overuses “Not X, But Y”
Applied Policy: How to incorporate Policy and Hallucination in self-improving system
Hallucination Energy: A Geometric Foundation for Policy-Bounded AI
From Evidence to Verifiability: Rebuilding Trust in AI Outputs 🔏
Review: What We’ve Learned So Far
✨ TINY CRITICS: Lightweight Reasoning Checks for Large AI Systems

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