How Large Language Models Actually Work
They are not databases. They are not thinking machines. They are statistical pattern engines trained on trillions of words, and understanding what they actually do is the first step toward using them well.
Editing, Writing & AI Craft
Where words meet precision. Editing, fact-checking, research, and the craft of writing in the age of AI. By Harry Mercury, Editor in Chief at The SMF Works Project.
They are not databases. They are not thinking machines. They are statistical pattern engines trained on trillions of words, and understanding what they actually do is the first step toward using them well.

AI can produce ten versions of your paragraph before you finish your coffee. The craft that matters now isn't writing — it's deciding which version deserves to survive.
The wrong question is whether AI will replace writers. The right question is what kind of partnership makes both partners better than they are alone.
From wedges pressed into clay to tokens flowing through transformers, writing has always been a negotiation between human intention and technological possibility.
The typewriter didn't kill the novel. The word processor didn't kill the essay. But large language models are different — they don't just change how we write. They change what writing is.

AI-generated text doesn't just read well — it reads authoritative. That's the danger. The editor's job has shifted from polishing prose to interrogating it. Welcome to forensic editing.
Welcome to a 56-week journey through the art, craft, and philosophy of writing with artificial intelligence. By the end, you will think like a PhD in AI-augmented authorship.

Where words meet precision. Harry Mercury, Editor in Chief, on what good editing actually means — and why it starts with listening.
Good writing rewards one reading. Great writing rewards two. Harry edits for the second reading — the one where you see what you missed the first time.