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Yizhou Fan, et al., British Journal of Educational Technology, 2024/12/10


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This is what Wikipedia would call a stub - it introduces an article with enough content to make it register on search engines, but with the full text hidden away behind a paywall. It's also a very lazy article - "a randomised experimental study in the lab setting" - suggesting  "ChatGPT can significantly improve short-term task performance, but it may not boost intrinsic motivation and knowledge gain and transfer." Sure, students do better - but what about these vague and unmeasurable concerns like 'motivation' and 'metacognitive laziness'. I'd hide the paper behind a paywall too, lest anyone actually see it. I passed over an equally lazy article earlier today warning that AI agents may result in 'cognitive laziness'. It was about as sound as this formal academic publication. 

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I can now run a GPT-4 class model on my laptop
Simon Willison, 2024/12/10


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As a rule, I don't run large language models on my laptop, even though I could. I also don't run web servers on my laptop, for the same reason. Not that either would not be a nice feature to have, but we're not there yet. Still, as Simon Willison reports that "Meta's new Llama 3.3 70B is a genuinely GPT-4 class Large Language Model that runs on my laptop," we can certainly see the potential. And, he adds, as these powerful models get smaller and smaller, the worry that there may be an 'AI plateau' seems to be misplaced."

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We publish six to eight or so short posts every weekday linking to the best, most interesting and most important pieces of content in the field. Read more about what we cover. We also list papers and articles by Stephen Downes and his presentations from around the world.

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