#llm
Luna Protocol: Shared Brains, Emotion Classification, and Interesting/Futile Routing
Luna Protocol moved from a monolith to a four-layer architecture: adapters, brain, emotion classifier, and inference. Featuring embedding centroids, interesting/futile routing, and LLM parameter tuning by valence and arousal.
From ELIZA to LLMs: 60 Years of Conversational AI, Rebuilt in TypeScript
ELIZA, PARRY, ALICE, Jabberwacky, Cleverbot -- five radically different architectures for the same problem, ported to TypeScript with their original data. From 1966 to modern LLMs, how conversational AI learned to talk, and what a chatbot repo teaches us about 60 years of research.
Luna Protocol: Why I Fine-Tuned a 1.5 Billion Parameter Model on 50k Discord Samples, and Why Few-Shot Priming Changed Everything
A smaller model trained on less data can outperform a bigger model -- if you know how to prime it. Why Luna Protocol moved from a Hermes 3B to a Qwen 1.5B fine-tune, and why few-shot priming became the real progress driver.
Luna Protocol: I Built an Autonomous Discord Bot That Simulates a Human Being
Luna Protocol is a fully autonomous Discord bot running a local LLM, capable of natural conversation with sleep, typos, hesitations, forgetfulness, thematic fatigue, and spontaneous messages.