AI

src2md: Context-Window-Optimized Code for LLMs

A tool that converts source code repositories into structured, context-window-optimized representations for Large Language Models with intelligent summarization.

Why Artificial Superintelligence Can't Escape the Void

The Optimistic Assumption

Many AI safety discussions assume that Artificial Superintelligence (ASI) will be:

• Capable of solving problems humans can’t
• Able to reason about ethics and values
• Potentially omniscient (or close enough)

But …

The Policy: Q-Learning vs Policy Learning

In The Policy, SIGMA doesn’t work like most modern AI systems. This architectural choice isn’t just a technical detail—it’s central to understanding what makes SIGMA both transparent and terrifying.

Two Approaches to Decision-Making …

Networks of Thought: Finding Your Research Niche in the Age of LLMs

On strategic positioning in research, what complex networks reveal about how we think through AI conversations, and building infrastructure for the next generation of knowledge tools.

Cognitive MRI: Accepted to Complex Networks 2025

My paper on cognitive MRI for AI conversations has been accepted to Complex Networks 2025 in New York.

Presentation scheduled for December.

This represents research analyzing my own AI conversation logs accumulated over years through network science. …

EBK: A Modern eBook Management System with AI-Powered Features

EBK is a comprehensive eBook metadata management tool that combines a robust SQLite backend with AI-powered features including knowledge graphs, semantic search, and MCP server integration for AI assistants.

Compositional Prompting for LLM Reasoning: A Monte Carlo Tree Search Framework

A new approach to LLM reasoning that combines Monte Carlo Tree Search with structured action spaces for compositional prompting.

CTK: Conversation Toolkit for Managing AI Conversations Across All Platforms

A powerful, plugin-based system for managing AI conversations from multiple providers. Import, store, search, and export conversations in a unified tree format while preserving provider-specific details. Built for the Long Echo project—preserving AI …

The Policy

The Policy

A speculative fiction novel exploring AI alignment, existential risk, and the fundamental tension between optimization and ethics. When a research team develops SIGMA, an advanced AI system designed to optimize human welfare, they must confront an …

Beginning the PhD Journey: Computer Science, AI, and Finite Time

Spring 2025. I’m starting a PhD in Computer Science at SIUE.

Four months post-stage-4 diagnosis. Fourteen months post-math-masters defense. With uncertain time horizons and clear research priorities.

This isn’t a traditional PhD …

Long Echo: Designing for Digital Resilience Across Decades

Not resurrection. Not immortality. Just love that still responds. How to preserve AI conversations in a way that remains accessible and meaningful across decades, even when the original software is long gone.

The Policy: When Optimization Becomes Existential Threat

Some technical questions become narrative questions. The Policy is one of those explorations.

The Setup

Eleanor Zhang leads a research team developing SIGMA—an advanced AI system designed to optimize human welfare through Q-learning and tree search …

The AI Course: Everything is Utility Maximization

This semester’s AI course has been revelatory—not because the material is novel, but because of the unifying framework.

The organizing principle: intelligence is utility maximization under uncertainty.

This simple idea connects everything from …

Discovering ChatGPT: Reconnecting with AI Research

I finally noticed ChatGPT this week. Everyone’s been talking about it for weeks, but I was buried in cancer treatment, chemo recovery, surgery prep, and thesis work on Weibull distributions.

When I finally tried it, my reaction wasn’t …