Collection IV4 articles · ~33 min

Still Worth Learning

Four sourced essays on what keeps its value while the way we reach it changes.

Four articles, each starting from a real artefact and working outward under a source apparatus. A map copied out of a book decades ago. A city held in a cab driver’s head. A language a machine can now write for you. A chart that looked professional and was not true. Together they defend one claim: a thing can keep its whole value while the way we come to it changes completely — and what is worth a learner’s effort was never settled by whether a machine can also produce the output.

The four essays

Each begins with a real artefact and reasons outward from it. Part 4 is the companion to part 3 — the piece about checking the work the other three rest on.

Part 1 sourced

The Maps We Copied — and What They Teach Us About AI in Education

We all copied the rivers of Africa out of a book, and no teacher called it plagiarism — because the map was never the point. Carlos Miranda Levy on what a geography assignment from decades ago tells us about designing AI assignments that actually make learners learn.

Part 2 sourced

The Knowledge: What’s Still Worth Learning When the Machine Already Knows the Way

Since 1865, London’s cab drivers have memorized their city street by street. GPS made that seem obsolete — until you learn what the effort was quietly building. A sourced argument about knowledge, skills, and how to rebalance a curriculum for the AI era.

Part 3 sourced

Should We Still Teach Coding? A Principal’s Question in the Age of Vibe Coding

A friend who runs an innovative multilingual school asked me whether her school should still teach coding now that AI can write it. My answer: yes — but teach the foundation, not the syntax. Here is what I would actually keep, what I would change, and the trap to avoid.

Part 4

The Infographic I Didn’t Publish: AI Drift and the Discipline of Checking Everything

While preparing my essay on teaching coding, I asked ChatGPT, Claude, and Gemini to verify my claims and find real sources. They largely confirmed me — and then Gemini offered to make an infographic. It looked good. It was not mine, and it was not all true. Here is what that taught me about drift, guardrails, and the compliance checklists we run on everything we publish.

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