Diary Posts
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An ethos of caring
transparency label: human only On 7 August 2025, Anapoly ran a trial acclimatisation lab. One of the participants was a member of staff from Marjon University. He liked our approach to the use of AI and, in later discussion, suggested the possibility of a collaboration with the university. After exploring some of the options for
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ChatGPT 5 …
transparency label: human-only … was released today. I have been using it to help with my writing. It is very good – markedly better than earlier versions – yet not as reliable as 4o. Commentators put this down to problems wth autoswitching, and teething problems with rolling this out at scale. Autoswitching in ChatGPT 5
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First acclimatisation lab
Transparency label: Human-only We ran our first acclimatisation lab yesterday, a trial session with two external participants. There were aspects which can be improved, but overall the feedback was very positive. This was the session plan.
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Contextual Scaffolding for AI Work
Transparency label: AI-assisted In an earlier post, I introduced the idea of “contextual systems engineering”. Building on that idea, we are developing a way to manage collaborative work with AI — especially where the goal of the collaboration is a knowledge-based product: for example a report, a competitive tender, an academic paper, or a policy
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An emerging discipline?
Transparency label: AI-assisted In a recent post, I observed that LLMs are coming to be seen as like computer operating systems, with prompts being the new application programs and context the new user interface. Our precision content prompt pack is a good example of that thinking. The pack contains a set of prompts designed to
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Context is the new user interface
Transparency label: Human-led How we guide AI not with buttons, but with words and context. When you use an AI like ChatGPT, there are no menus or toolbars. Instead, the way you interact – what you say, how you say it, and what you show it – is the interface. That’s what we mean by
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ChatGPT can check facts
transparency label: Human-only Mike Caulfield has released what he calls a Deep Background GPT. It is an AI fact-checking tool, available to all as a completely free GPT. Mike says: I just released a (largely) non-hallucinating rigorous AI-based fact-checker that anyone can use for free. And I don’t say that lightly: I literally co-wrote the book on using
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Terminology
transparency label: Human-only Terminology was a vexed topic in our recent discussion. It dawned on me that smarter people than us must have faced this problem too, and sure enough Perplexity took me to the National Institute of Standards and Technology (NIST) in the US Department of Commerce. Their paper AI Use Taxonomy, a Human-Centered