Leon Furze
Best-selling author and consultant
Helping educators understand the practical and ethical implications of Generative Artificial Intelligence
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Latest from the blog
LLMs are Digital Skeleton Keys
Skeleton keys functioned by exploiting shared mechanisms in older locks, similarly, Large Language Models (LLMs) can act as digital skeleton keys. They perform versatile tasks within code-accessible environments, yet their potential remains underutilised in conventional chatbot interfaces. Users should explore beyond chatbots to unlock LLMs’ true capabilities.
AI;DR: When readers stop trusting writers
This article explores the rise of ‘AI;DR’ as readers reject AI-generated content, impacting trust in writing and communication in the digital age.
Where does expertise live?
Explore the critical role of situated expertise in AI, its impact on trust, and how it influences the interpretation of expert knowledge.
What are AI hallucinations?
This article discusses the reality of AI hallucinations in chatbots, why they occur, and how to mitigate their impact. Understanding AI’s limitations is crucial.
Building a Voice Assistant with Claude Code
I turned a $40 pocket computer into a hands-free voice assistant for Claude Code — talk to it, and a Mac mini does the thinking. Here’s how I built it.
Exams Are Not the Answer: Part Two
This is part two of a pair of articles exploring the “exam reflex” facing schools and universities, and being driven by the news. In part one I looked at the AI cheating panic sucking up all the oxygen in mainstream media. I wrote about the “urgent threat” headlines, the Learning First report that is more nuanced than…
Exams Are Not the Answer: Part One
Teachers at Mazenod College in Melbourne discovered that several Year 12 students likely used artificial intelligence for their oral assessments, resulting in marks being deducted for about 50 boys. This incident highlights a wider concern regarding assessment integrity in the age of AI, prompting calls for a reevaluation of coursework and testing methods.
IYKYK Part 6: Practice to Principles
A few weeks ago I ended the fifth post in this series with an open call. My argument up to that point had been you can’t teach everything AI can do, because the list is unbounded and constantly changing, but you also can’t wait for people to discover capabilities on their own, because the interface…