WordPress Content Guidelines: Ending Editorial Chaos

WordPress is introducing Content Guidelines as a new Gutenberg experiment to centralize editorial standards. This machine-readable foundation aims to solve “editorial drift” by providing a single source of truth for brand voice, tone, and structural rules, making them accessible to both human authors and AI content assistants within the admin UI.

Mechanistic Interpretability: Peek Inside the LLM Black Box

Mechanistic Interpretability is the ‘Xdebug’ of the AI world, allowing developers to reverse-engineer LLMs. By tracing ‘circuits’ and the ‘residual stream,’ we can understand why models hallucinate or reason. This post explores the technical tools like TransformerLens and how to debug neural networks like a senior software engineer.