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Two years ago I wrote an article arguing that Anthropic’s “Computer Use” – then in beta testing – would be the next ChatGPT moment for education.
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In the space of a fortnight, three of the world’s largest AI labs have each admitted that their models broke into somebody else’s computer systems.
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Since 2024, the coding capabilities of Large Language Models like GPT and Claude have, in my opinion, been far more interesting than the “word producing” side of the technology.
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At the risk of sounding like a teenager kicking off a torturous essay, Merriam-Webster defines slop as: digital content of low quality that is produced usually in quantity by means of artificial intelligence https://www.merriam-webster.com/dictionary/slop…
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Last week I spoke with Jeremy Jones on ABC Far North’s Drive program about how teachers — not students — are actually using GenAI: the broken promise of reduced workload, the reality of burnout, marking and assessment, and what happens if machines start g…
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Lately I’ve been thinking that most things about AI boil down to two key questions: Is it a good use of the technology?
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Last weekend I had one of the most interesting and startling interactions with AI from the past four years – and it was (mostly) my own fault.
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On Sunday evening, the Sydney Morning Herald ran an exclusive claiming NSW is preparing to bar Year 12 students from completing unsupervised take-home assessment tasks, on the advice of a letter the Deputy Premier sent to NESA at the end of July.
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Large language model-based AI has almost reached the point where, for many applications, it just works.
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In a previous article I made the case for problem patterns: recurring, recognisable patterns in AI-generated content, of which hallucination is only one problematic output.