The content I publish in the Causality and Attraction research project contains work no human or machine is capable of generating alone.
My research is accelerated by artificial intelligence. Codex, Grok Build, NotebookLM, and ElevenReader are among the many tools I use to create content that is accurate, thought-provoking, and interesting.
I use AI to simulate debates that test my ideas. I am only interested in publishing the ideas I believe in, and that belief comes from testing them against AI systems I have configured to tear them apart. What remains is worth putting my name on.
Did I write it?
I am the human source of all content bearing my name. It is defensible, novel, and, where possible, mind-blowing and world-changing.
Discovery
I cannot ask an AI to write what neither of us knows before the research begins. When the destination emerges through the work, the session participated in discovery rather than retrieving a commissioned answer.
Evaluation
Resemblance to machine-generated language does not establish authorship or value. The useful tests are novelty, reasoning, evidence, accuracy, and whether the work gives the reader something worth thinking about.
Responsibility
AI use is part of the provenance. I choose what survives, publish only what I am prepared to defend, correct the work when necessary, and remain responsible for the whole.
Read The Systems Interventionist to understand why I dislike disruptive ideas and prefer passive interventions. The complete examination of AI-assisted research and authorship appears in Causality and Attraction, Volume XII: The Signal.
The ideas that make worlds do not start with disruption. They come from everything we've got, organized in the service of life.