Tag: acclimatisation lab

  • 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 this, the conversation became a bit philosophical. It touched on the ethics of AI, the risk that students might outsource their thinking, the need to imbue students with values of benefit to society, and the need for them to have an ethos of caring about how the human-AI relationship evolves.

    This prompted me to begin thinking about the possibility of exploring these aspects of the Human-AI interaction in more detail. I setup this digital garden for that purpose.

  • 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.

  • How ChatGPT helped draft our first acclimatisation lab setup

    Date: 24 June 2025

    transparency label: AI-heavy

    Our latest Lab Note records a quick experiment where I asked two ChatGPT models to draft the outline for an “acclimatisation” session – the starter lab we plan to run with newcomers to AI.

    Highlights:

    • Model face‑off: I ran the same prompt in parallel on model o3 and model 4o. The reasoning‑focused o3 delivered a tight nine‑part outline. 4o wandered off‑piste.
    • Time cost: The branch test took three minutes and gave us a clear winner.
    • Transparency: The Lab Note carries an AI‑heavy label because most of the prose came straight from o3. I trimmed, corrected one hallucination, and signed off.

    If you are curious about our process or want to see how structured prompting keeps the bot on track, read the full note here: First Acclimatisation Session Lab Note →