This section contains polished articles on algorithms, systems, and quantitative reasoning.
Posts here are written to:
- explain key insights clearly
- summarize stable understanding
- serve as reusable references
This section contains polished articles on algorithms, systems, and quantitative reasoning.
Posts here are written to:
As AI makes summarization and retrieval cheap, the value of learning shifts from memorization toward judgment, structure, attention, and the deeper feeling that gives direction to thought.
A CPU-based shader experiment in Rust that explores procedural graphics without relying on GLSL or GPU APIs.
Course notes, derivations, and personal analysis from the MAI program at University of Auckland. Writing here aims to go beyond lecture summaries — each post tries to extract the core insight, expose the underlying math, and connect ideas across courses. Course Focus COMPSCI 713 AI Fundamentals — probabilistic models, soft computing, bio-inspired AI COMPSCI 714 AI Architecture — transformers, LLMs, deep learning systems