Concepts
The working vocabulary of AI × HI — each idea defined in plain language, with the essays where we explore it.
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What Is AI × HI (Human × Artificial Intelligence)?
The designed relationship between human and artificial intelligence — the multiplication sign is the point.
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Human-AI Relationship Design
Deliberately choosing the terms of your working relationship with AI, instead of running on accidental defaults.
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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.
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AI Amplification vs Automation
Same AI, opposite results: automation replaces your contribution; amplification extends it.
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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.
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Human-AI Symbiosis
A working relationship where neither intelligence stays unchanged and neither can produce the result alone.
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Queryable vs Quotable: Where Human Advantage Still Lives
The untransferred and the unverbalized — the two edges where human advantage in AI work still lives.
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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.
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Designed vs Drifting AI Use
Your AI relationship forms either way — the only question is whether anyone is steering it.
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Pearl's Ladder of Causation, Applied to AI × HI
Three rungs of reasoning — association, intervention, counterfactual — and where AI and humans each actually live.
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Cognitive Offloading to AI
Handing thinking to the machine — a design act when deliberate, a quiet risk when unexamined.
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Skill Atrophy with AI
When AI does it reliably enough, you stop practicing — and some of those skills are load-bearing.