Tag: Generative AI
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Process > Prompts
The article discusses the evolution of using generative AI tools like ChatGPT in education, emphasising the significance of process over prompts. Key advances include file uploads, image recognition, internet connectivity, code execution, and improved reasoning models. These enhance user interaction, streamline tasks, and facilitate effective resource management in educational settings.
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OpenAI Has Improved Its Image Gen – But Do We Need More “Offensive” AI?
OpenAI’s recent updates to DALL-E 3 aim to enhance its image generation capabilities, but the focus on relaxing restrictions for “offensive” content raises concerns. The integration of more violent and explicit imagery could contribute to misinformation, and doesn’t contribute to the future of the technology.
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Resist, Refuse, or Rationalise – Just don’t Roll Over
Towards the end of 2024 there was a noticeable uptick in AI critique from educators and academics. It seemed as though the initial shock of ChatGPT had finally worn off, and people were beginning to grapple with the bigger-picture concerns of GenAI beyond “it’s that thing that students are using to cheat”. Of course, there…
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What Can Lewis Caroll Teach us about GenAI?
Lately I’ve been posting a bit about metaphors, and their use in teaching and critiquing Generative AI products like ChatGPT. As an English teacher first and foremost, I want to find ways to teach with, through, and sometimes against AI that keep students’ voices and educators’ expertise front and centre. And I’m always looking for…
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OpenAI is Coming for Writers
There’s something brewing at OpenAI, and it’s not their often promised AGI. While Altman seduces investors with the speculative promises of Artificial General Intelligence and ever more powerful versions of GPT, a very real play is being made for much more concrete territory. Over the past few months, a number of product releases and updates…
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AI and the Art of Paper Folding
The post reflects on metaphors used to discuss artificial intelligence, particularly introducing an origami analogy. It emphasises that AI outputs are intricately shaped by the training data like origami models are formed from a single sheet of paper. This analogy reveals insights into AI’s limitations, creativity, and the nature of its outputs.
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Synthetic Sycophants: Why ‘Yes-Bots’ are a Problem for Education
A student is working late on their chemistry homework, struggling with atomic structure. They turn to an AI assistant with a misconception: “I think atoms have fixed electron paths, like planets orbiting the sun.” The AI responds with polite agreement and an authoritative explanation supporting this incorrect model. When challenged, the AI even apologises for…
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Claude Computer Use: The Next ChatGPT Moment
In May 2022, I made the decision to step out of the classroom and apply for a PhD, broadly focused on digital texts. I grabbed a few articles, like Bradley Robinson’s on automated writing technologies, and began reading up on these “large language model things”, like OpenAI’s Generative Pre-trained Transformer. Back then, people accessed GPT…
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More Practical AI Strategies: Differentiating
Educators continue to grapple with the ethical and practical implications of Generative AI, but it has proven valuable in enhancing teaching methods and student engagement. LLMs like ChatGPT can aid in visualising abstract concepts, refining editing skills, and providing constructive feedback, presenting numerous opportunities for its integration in education.
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Expertise Not Included: One of the Biggest Problems with AI in Education
The debate about the effectiveness of AI chatbots in education continues amidst rapid AI advancements. Despite the broad knowledge and potential of AI systems, learners need expertise to effectively utilize them. The challenge lies in knowing how to ask the right questions and identify inaccuracies. Customised, purposeful applications could provide a more beneficial alternative to…