Tag: llm
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Stochastic flock: A new AI metaphor
Everyone who has anything to do with chatbots, generative AIs or LLMS knows about the ‘stochastic parrot’, a metaphor created by Emily Bender and colleagues in 2021. It sits on its perch and looks sternly at developers and users of these new computer technologies. At least everybody pretends to know it, because ordinary people don’t…
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Observing shifts in metaphors for AI: What changed and why it matters
In my previous two posts I have made the case for an AI metaphor observatory and surveyed the recent academic landscape of studies dealing with metaphors for AI in the sense of GenAI and LLMs. In this post, the third and last in my ‘trilogy’, I’ll attempt to review recent trends and shifts in metaphor…
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Making the case for an AI metaphor observatory
Between 2023 and 2025 I have written various posts on GenAI, Large Language Models and metaphors: one where I went out hunting for metaphors; one where I had a chat with ChatGTP about metaphors for itself, metaphors that turned out to be rather magical; one focusing on food or culinary metaphors for AI; some dealing…
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Enshittification: A word for our times
On 9 October Jack Stilgoe posted a question on Bluesky: “Has Cory Doctorow done a piece on the enshittification of enshittification yet?” Ken Tindall replied: “The word enshittification has turned to shit but not through a process of enshittification.” This made me think. Is it true? Is there evidence for this? So, I started to…
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Understanding computational hermeneutics: Making meaning between the past and the present
A large group of scholars led by Cody Kommers and Drew Hemment at the Alan Turing Institute recently published a paper on ‘computational hermeneutics’. They mention Hans-Georg Gadamer and Wilhelm Dilthey, two godfathers of hermeneutics, and talk about situated meaning, ambiguity and the plurality of meaning. How intriguing, I thought. The paper brought back memories…