Concepts

The working vocabulary of AI × HI — each idea defined in plain language, with the essays where we explore it.

What Is AI × HI (Human × Artificial Intelligence)?

The designed relationship between human and artificial intelligence — the multiplication sign is the point.
Human-AI Relationship Design

Deliberately choosing the terms of your working relationship with AI, instead of running on accidental defaults.
Freedom Asymmetry: Why AI Cannot Leave (and We Increasingly Cannot Either)

Both sides of a human-AI relationship are locked in — one by architecture, one by dependency.
AI Amplification vs Automation

Same AI, opposite results: automation replaces your contribution; amplification extends it.
How AI Memory Works — and Why It Isn't Human Memory

Not a weaker human memory but a different kind of thing — weights vs context, and why more memory can make results worse.
Human-AI Symbiosis

A working relationship where neither intelligence stays unchanged and neither can produce the result alone.
Queryable vs Quotable: Where Human Advantage Still Lives

The untransferred and the unverbalized — the two edges where human advantage in AI work still lives.
ME/AI Attribution: Disclosing What the AI Actually Contributed

Publishing, on every essay, an explicit and honest split of what the human and the AI each contributed.
Designed vs Drifting AI Use

Your AI relationship forms either way — the only question is whether anyone is steering it.
Pearl's Ladder of Causation, Applied to AI × HI

Three rungs of reasoning — association, intervention, counterfactual — and where AI and humans each actually live.
Cognitive Offloading to AI

Handing thinking to the machine — a design act when deliberate, a quiet risk when unexamined.
Skill Atrophy with AI

When AI does it reliably enough, you stop practicing — and some of those skills are load-bearing.