Author: Graeme Smith
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When Scale Changes Teaching Work
At scale, small inefficiencies become structural. AI can reduce friction—but judgement remains central to teaching.
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When Answers Become Easy, Assessment Changes
When answers become easy to produce, traditional assessment stops revealing learning. The shift is not about AI—but about what counts as evidence.
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A Way In: AI Tertiary Education Aotearoa
AI has already entered tertiary education. The tools are accessible, but the entry point isn’t obvious. This post introduces a set of learning collections developed through AI for Good (Ako AI Tertiary) as a grounded way in — shaped by values, not added to them.
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Micro-credentials are easy to start. Hard to get right.
Micro-credentials promise agility — but most are harder to design, approve, and use than people expect. Here’s what actually matters.
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After Work: What Replaces the Structure of Work
If work no longer structures identity, meaning, and direction, something else must. The real challenge isn’t automation—it’s what replaces the hidden functions work once performed. What comes after work?
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After Work: Formation, Not Automation
The future isn’t defined by job loss or abundance, but by a deeper shift: the removal of work as the structure that organises human life—and what replaces it.
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Level Flight — MIRA KAI
Level Flight by Mira Kai is a study in suspended motion — calm, precise, and quietly expansive.
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After Work: What Comes Next Is Not Automation — It’s Formation
We’re focusing on the wrong problem. The future is not defined by the end of work, but by what replaces it as the structure that holds identity, meaning, and direction together.
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The Judgement Layer
AI adoption is no longer primarily a tooling problem. As machine reasoning becomes embedded into operational environments, organisations must learn how to stabilise human judgement in its presence. This is the Judgement layer.
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Quango Unchained — THISISGRAEME
Quango Unchained is a double-album of liquid drum-and-bass and atmospheric electronics from THISISGRAEME — twenty-four instrumental tracks moving from invocation through acceleration to quiet re-entry.