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Rather than cataloguing AI's failures, demonstrate thoughtful use, critique from practice, and amplify what matters to you.
Audio scholarship—podcasts, dialogues, oral histories—deserves recognition as legitimate scholarly work. The format matters less than the quality of thinking.
AI meeting scribes have automated the control of organisational memory, making existing power dynamics more powerful and less visible.
Rich Sutton's 'Bitter Lesson' applies to education: AI reveals that artifact-based assessment never truly measured learning.
As AI makes creation and curation trivially easy, evaluative judgement about what should exist becomes the primary human contribution.
The peer-reviewed article dominates academia, but essays deserve recognition as scholarship—enabling exploration and synthesis that formal research cannot.
Despite the ethical concerns, generative AI represents an enormous opportunity for learning at scale. Here's why I'm optimistic.