Category: AI
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Learning to Reason with LLMs
OpenAI o1 is much better at reasoning through problems.
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Report: Assessment reform for the age of AI
TEQSA’s report “Assessment reform for the age of artificial intelligence” outlines principles and propositions for reforming higher education assessment practices in response to AI. It emphasizes integrating AI ethically, focusing on systemic approaches, learning processes, collaboration, and security. The report aims to guide institutions in adapting to AI while maintaining academic integrity.
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OpenAI releases their ‘Strawberry’ language model
OpenAI releases OpenAI o1, codenamed ‘Strawberry’, in response to common reasoning problems inherent in language models.
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How many R’s are there in ‘strawberry’?
in AIWhen you’re getting poor responses from AI, step back and ask if you’re part of the problem.
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Overlap podcast client
in AIOverlap is a podcast client that uses AI to curate clips from other shows about topics you ask it for.
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One principle for teaching someone to use generative AI
in AITeaching generative AI usage goes beyond simple instructions. While basic usage is straightforward, the challenge lies in applying AI to specific problems. By focusing on real-world examples, we can teach people to think critically about how AI can address their unique needs.
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Claude, what’s going on in this picture?
A post where I give Claude two images and simply ask it to describe what it sees. The responses come awfully close to what we might call ‘diagnosis’.
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Developing AI literacy in professional education
Developing AI literacy in students shouldn’t rely on mandatory training. Instead, I suggest using AI to create personalised learning programmes for students that help them address real-world problems that are important to them. I give an example of preparing for clinical placement using generative AI. By having students interact with AI to build unique plans…
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Use AI to help you think, not to think for you
in AIhttps://www.oneusefulthing.org/p/post-apocalyptic-education …we need to center teachers in the process of using AI, rather than just leaving AI to students (or to those who dream of replacing teachers entirely). We know that almost three-quarters of teachers are already using AI for work, but we have just started to learn the most effective ways for teachers to…
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Generative AI and the cognitive apprenticeship model for developing clinical reasoning
This post explores how generative AI can support cognitive apprenticeship in developing clinical reasoning skills. Using a structured approach, I show how AI can enhance various aspects of learning, from providing domain knowledge to simulating patient scenarios, ultimately creating a comprehensive framework for AI-assisted clinical education.
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Quickly find the source of an image
In this very short video I show how I quickly find the source of an image captured from a YouTube video. I often come across an image in a presentation I’m watching on YouTube, and want to find the source (if the presenter hasn’t included it). This is one way to do that quickly.
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Coming to terms with generative AI – FAIMER Connect Continued Learning
Generative AI is transforming healthcare and education, offering unparalleled access to expertise across multiple knowledge domains. In this FAIMER Connect Learning series presentation, I explore its potential and challenges, from effective prompting to skills gap reduction. As AI reshapes professional practice, working with it as a collaborative partner is going to be key to successful…
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A pencil literacy framework
A lovely satirical post about the kinds of policies we might see come into play, if pencils were introduced into schools today.
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Instructors as innovators
This paper provides concrete examples of prompts and exercises that cover different pedagogical approaches – simulation, critique, co-creation, mentoring and tutoring. These can serve as a starting point for educators to experiment with AI in their classrooms as part of a pedagogically-informed approach.
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Podcast – AI and the Evolution of Medical Thought
In this episode of the AI Grand Rounds podcast, Dr. Adam Rodman shares his unique journey from a historian to a physician deeply interested in the intersection of medicine and artificial intelligence.
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More to AI detection than accuracy
AI text detectors, like OpenAI’s 99.9% accurate tool, aren’t the solution to academic cheating. These detectors have limitations, including model-specific detection and manipulable statistical features. We’re not going to find answers by entering into an arms race with students, by trying to build increasingly accurate AI detectors.
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Flux.1 for image creation
Flux.1 by Black Forest Labs is a new, open-source image generation model. Deeply rooted in the generative AI research community, our mission is to develop and advance state-of-the-art generative deep learning models for media such as images and videos, and to push the boundaries of creativity, efficiency and diversity… By making our models available to…
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Semantic Reader update
A brief overview of some of the skimming features available in Semantic Reader.
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Eureka Labs: An AI+Education company
The first, to my knowledge, AI-first educational institution announced.
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People aren’t going to fact-check AI
Breakstone, J., Smith, M., Wineburg, S., Rapaport, A., Carle, J., Garland, M., & Saavedra, A. (2021). Students’ Civic Online Reasoning: A National Portrait. Educational Researcher, 50(8), 505–515. doi: 10.3102/0013189X211017495 Note that this paper was published in 2021. “Asked to investigate a site claiming to “disseminate factual reports” on climate science, 96% never learned about the…