#ai-alignment

AI Alignment in 2026: New Approaches to Making Large Language Models Safer and More Reliable

A practical guide to the 2026 LLM alignment landscape — from RLHF and Constitutional AI to mechanistic interpretability, enterprise security defenses, and EU AI Act compliance.

Mechanistic Interpretability: Opening the Black Box of Neural Networks in 2026

For most of deep learning's history, neural networks have been black boxes: you train them, they work, and you have only a rough intuition about why. Behavioral testing — probing inputs and outputs — tells you what a model does. It never tells you ho

The Alignment Tax: Why Making AI Safer Often Means Making It Less Capable — and What Researchers Are Doing About It