Articles

Technical Deep Dives.

In-depth analysis of AI architectures, deployment patterns, and the research shaping the field.

Reading the Model: two bets on LLM interpretability — Qwen-Scope and Natural Language Autoencoders.

Reading the Model: Qwen-Scope, Natural Language Autoencoders, and the Pivot to Useful LLM Interpretability

Qwen-Scope and Anthropic's Natural Language Autoencoders are reshaping LLM interpretability in 2026. Inside the two releases, what they ship, and where each breaks.

RayZ·17 min read·MAY 11, 2026

Interpretability16 min read

Mechanistic Interpretability: Cracking Open the Black Box of AI

Mechanistic interpretability lets researchers reverse-engineer neural networks to understand how AI thinks. Learn about sparse autoencoders, circuits, and safety.

RayZAPR 15, 2026