February 23, 2024
SLUUG Talk: Demystifying Large Language Models on Linux
Talk for the St. Louis Unix Users Group about running and understanding Large Language Models on Linux.
Llm
Browse posts by tag
March 15, 2026
Superintelligence May Not Require a Breakthrough
The most dramatic possibility in AI might arrive through the most mundane mechanism. Not a beam of sacred light. A sufficiently good build system.
January 18, 2026
Value Functions Over Reasoning Traces
What if reasoning traces could learn their own usefulness? A simple RL framing for trace memory, and why one reward signal is enough.
January 15, 2026
From A* to GPT: Rational Agents and the Representation Problem
The classical AI curriculum teaches rational agents as utility maximizers. The progression from search to RL to LLMs is really about one thing: finding representations that make decision-making tractable.
January 5, 2026
Your Boring Stack Isn't Boring Enough
A response to the 'boring stack' discourse. Why CLI-first, standards-based development is even more boring (and more future-proof) than you think.
November 30, 2025
src2md: Fitting Codebases into LLM Context Windows
A tool that converts source code repositories into structured, context-window-optimized Markdown for LLMs, with intelligent summarization and importance scoring.
October 25, 2025
Networks of Thought: Finding Your Research Niche in the Age of LLMs
On research strategy, what complex networks reveal about how we think through AI conversations, and building infrastructure for the next generation of knowledge tools.
October 9, 2025
Compositional Prompting for LLM Reasoning: A Monte Carlo Tree Search Framework
Treating prompt engineering as a search problem over a structured action space, using MCTS to find effective prompt compositions.
October 9, 2025
CTK: Conversation Toolkit
A plugin-based toolkit for managing AI conversations from multiple providers. Import, store, search, and export conversations in a unified tree format. Built for the Long Echo project.
October 8, 2025
DreamLog: Logic Programming That Dreams to Improve Itself
A logic programming system that alternates between wake and sleep phases, using LLMs for knowledge generation during wake and compression-based learning during sleep.
October 7, 2025
Language Calculus: An Algebraic Framework for LLM Composition
A mathematical framework that treats language models as algebraic objects with compositional structure.
December 1, 2024
MCTS-Reasoning: Tree Search for LLM Reasoning
Applying Monte Carlo Tree Search to large language model reasoning, with a formal specification of the algorithm.
November 15, 2024
Cluster-Aware Retrieval for RAG Systems
Using GMM clustering to improve retrieval in topically diverse knowledge bases
October 15, 2024
Latent Reasoning Traces: Memory as Learned Prior
What if LLMs could remember their own successful reasoning? A simple experiment in trace retrieval, and why 'latent' is the right word.
September 20, 2024
Neural Language Models: From RNNs to Transformers
The evolution of neural sequence prediction, and how it connects to classical methods
June 10, 2023
A Home Lab from Spare Parts
I built a home lab from spare parts and water-damaged hardware for local LLM experimentation. CPU-only inference is slow, but you learn things cloud APIs hide.
December 8, 2022
Discovering ChatGPT: Reconnecting with AI Research
Encountering ChatGPT during cancer treatment and recognizing the Solomonoff connection. Language models as compression, prediction as intelligence. A personal inflection point reconnecting with AI research after years in survival mode.