Llm

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.

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.

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.

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.

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.

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 …

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.

Language Calculus: An Algebraic Framework for LLM Composition

A mathematical framework that treats language models as algebraic objects with rich compositional structure.

MCTS-Reasoning: Tree Search for LLM Reasoning

Applying Monte Carlo Tree Search to large language model reasoning with a rigorous formal specification.

Cluster-Aware Retrieval for RAG Systems

Using GMM clustering to improve retrieval in topically diverse knowledge bases

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.

Building a DIY Home Lab for Local LLM Experimentation

Why a Home Lab in the Age of ChatGPT?

After discovering ChatGPT in late 2022, I became obsessed with running LLMs locally. Cloud APIs are convenient, but I wanted:

• Complete control over models and data
• Local inference for privacy-sensitive work …

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 …