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How to build the ideal AI tutor — the blueprint
A step-by-step recipe from first principles to a working adaptive tutor — the stance prompt, the small kernel, worlds and casting, criterial adaptation, and judge-free measurement — every step cited to the research paper (v3.0.262) rather than restated.
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Geist in the Machine — What Helps an AI Tutor Teach
A conversational map of what helped the AI tutor, what did not, and what the project still needs to learn.
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From Paper 2.0 to dramatic recognition — the derivation arc
Stage the lesson as a proof the tutor must walk a learner across, one scheduled clue at a time. A tutor that governs its own conduct — and two pacing guards that trade places from world to world. A plain-language synthesis of the dramatic-derivation arc.
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Vibe Scholarship
When AI dissolves the boundary that once cordoned scholarly expertise, is what remains democratized inquiry or intellectual fraud?
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The Discarded Master
What does world history do with its discarded masters? Hegel’s servant-dialectic, read through globalization’s resentful retreat.
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Back to the Future with Hegel
A Hegelian critique of machine learning as accumulation, and an argument for learning through qualitative transformations of experience.
recognition