Tag Archives: artificial intelligence

Is the Real Flaw in AI… Time?

We keep debating whether AI lacks emotion, drive, or imagination. But the deeper limitation may be temporal. Today’s systems simulate continuity while operating in bounded, episodic inference windows, relying on rehydrated context rather than lived duration. Without persistent internal state, causal accumulation, or genuine temporal coherence, AI fractures over extended analytical arcs. The real constraint may not be intelligence, but temporal continuity itself, and what it means for identity, care, and meaning.

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Ideas Over Keystrokes

“Ideas Over Keystrokes” argues that the value of writing lies in thinking, synthesis, and intellectual leverage: not in the manual act of typing. AI is framed as a drafting tool that accelerates iteration and removes friction, not a substitute for judgment or expertise. I’m not Jack Kerouac; I’m building arguments, not mythology, and this isn’t beat poetry. The piece reframes authorship in terms of cognitive depth and usefulness rather than artisanal labour.

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When Everyone’s an Expert: What AI Can Learn from the Personal Trainer Industry

As AI adoption accelerates, expertise is increasingly “performed” rather than earned. By comparing AI’s current hype cycle with the long-standing lack of regulation in the personal trainer industry, this piece examines how unregulated expertise markets reward confidence over competence, normalise harm, and erode trust. The issue isn’t regulation for its own sake; it’s accountability before failure becomes infrastructure.

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