I asked an AI tutor agent to play the role of me, an Oxford lecturer on media and AI, and teach me a personal master's course, based entirely on my own work.
I set up the agent via an off-the-shelf ChatGPT tool hosted on the Azure-based Nebula One platform, with a prompt to research and impersonate me, then build personalized material based on what I already think. I didn't tell the large language model (LLM) what to read or do anything else to enhance its capabilities, such as giving it access to learning materials that aren't publicly available online.
The agent's course in media and AI was well-structured—a term-long, original six-module journey into my own collected works that I had never devised, but admit I would have liked to.
It was interactive and rapid-fire, demanding mental acuity via regular switches in formats. It was intellectually challenging, like good Oxford tutorials should be. The agent taught with rigor, giving instant responses to anything I asked. It had a powerful understanding of the fast-evolving landscape of AI and media through the same lens as me, but had done more homework.
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