Tag: reasoning
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Weekly digest 43
A weekly collection of things I found interesting, thought-provoking, or inspiring. It’s almost always about higher education, mostly technology, and usually AI-related.
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Weekly digest 39
A weekly collection of things I found interesting, thought-provoking, or inspiring. It’s almost always about higher education, mostly technology, and usually AI-related.
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Weekly digest 38
A weekly collection of things I found interesting, thought-provoking, or inspiring. It’s almost always about higher education, mostly technology, and usually AI-related.
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Learning to Reason with LLMs
OpenAI o1 is much better at reasoning through problems.
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Weekly digest 35
A weekly collection of things I found interesting, thought-provoking, or inspiring. It’s almost always about higher education, mostly technology, and usually AI-related.
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Weekly digest 29
A weekly collection of things I found interesting, thought-provoking, or inspiring. It’s almost always about higher education, mostly technology, and usually AI-related.
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Weekly digest 23
A weekly collection of things I found interesting, thought-provoking, or inspiring. It’s almost always about higher education, mostly technology, and usually AI-related.
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Symposium – Beyond thinking fast and slow: Theories informing teaching and assessment of clinical decision-making and error
in Conferenceaffordance, ai, AMEE, AMEE23, artificial intelligence, bais, chunk, clinical reasoning, cognitive debiasing, collective intelligence, diagnosis, diagnostic error, distributed cognition, dual-process theory, ecological psychology, embodied cognition, error, extended mind, illness schema, illness script, information, philosophy of mind, reasoning, situated cognition, system 1, system 2, technology affordance, transtheoretical modelThis is going to be a long post, as it includes an expansion of the notes I took during this symposium. It’s hard to draw a bright line between the presentation content and my extended notes, so I think it’s fair to say that what’s presented below isn’t an accurate description of what was presented.…
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Comment: How Can AI Systems Understand Human Values?
…for ML systems to truly be successful, they need to understand human values. More to the point, they need to be able to weigh our competing desires and demands, understand what outcomes we value most, and act accordingly. Creighton, J. (2019). How Can AI Systems Understand Human Values? The Future of LIfe Institute blog. This…
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Skills we want our students to have
This post was inspired in part by this article on the 10 skills that every student should learn. These are some of the skills that we’re intentionally trying to help our students develop, as a way of integrating them into the culture of professional clinical practice. Reading carefully. If you can read you can learn…