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Maggie Appleton

The Dark Forest and Generative AI One Developer, Two Dozen Agents, Zero Alignment Gas Town’s Agent Patterns, Design Bottlenecks, and Vibecoding at Scale January 2026 | Maggie Appleton A Treatise on AI Chatbots Undermining the Enlightenment A Brief History & Ethos of the Digital Garden Vibe Code is Legacy Code May 2025 | Maggie Appleton Home-Cooked Software and Barefoot Developers Statistically, When Will My Baby Be Born? Speculative Calendar Events ChatGPT Would be a Decent Policy Advisor March 2025 | Maggie Appleton The Expanding Dark Forest and Generative AI Humanity's Last Exam Squish Meets Structure Common Misconceptions in AI Unbaited Smidgeons Growing a Human: The First 30 Weeks How to Import Academic Papers from Zotero into Tana December 2024 | Maggie Appleton Aesthetic Command Lines with Hyper, Spaceship, and Oh My Zsh Leaving Elicit July 2024 | Maggie Appleton A Short History of Bi-Directional Links The Pattern Language of Project Xanadu Assumed Audiences Ambient Co-presence On Opening Essays, Conference Talks, and Jam Jars Spinning Worlds, Seasickness, and Dealing with Vestibular Neuritis A Collection of Design Engineers Gathering Structures Daily Notes Pages Historical Trails December 2023 | Maggie Appleton September 2023 | Maggie Appleton Digital Gardening for Non-Technical Folks Language Model Sketchbook, or Why I Hate Chatbots June 2023 | Maggie Appleton Computational Notebooks Folk Interfaces Reverse Outlining with Language Models Command K Bars Spatial Web Browsing A Picture Worth a Thousand Programmes Programmable Notes Programming Portals Teenage Skeuomorphic Desktop Designs Tending Evergreen Notes in Roam Research Growing the Evergreens Why You Own an iPad and Still Can't Draw A Brief Introduction to Digital Anthropology Transclusion and Transcopyright Dreams The Block-Paved Path to Structured Data Empty Pointers and Constellations of AI Metaphors We Web By The Gift Economy Epistemic Disclosure November 2022 | Maggie Appleton Joining Ought July 2022 | Maggie Appleton The Linear Oppression of Note-taking Apps Paleolithic Nostalgia Interoperable Personal Libraries and Ad Hoc Reading Groups The Finest Narrative Non-Fiction Essays Algorithmic Transparency October 2021 | Maggie Appleton Plebeian Programming with Keyboard Maestro The Cultural Anthropology of React August 2021 | Maggie Appleton Natureculture, Moral Purity, and Cultural Boundaries The Echo & Narcissus Writing Club Pink, Soft, Glittering Developers Fetishism & Mechanical Keyboards Making Programming Visual, Spatial, and Learnable Organic, Local, Artisan Data Storage Positioning Elements & Scrollytelling in CSS Painting Roam Research with Custom CSS A Digital Anthropology Reading List The Eponymous Laws of Programming A History of Cyborgs Neologisms GreenSock Animations with React Hooks The Bare Essentials of Greensock September 2020 | Maggie Appleton Illustrating Gatsby's Key Concepts Problematic Proteins New Harvest & Illustrating the Cultivated Meat Podcast Synecdoche: Drawing the Part for the Whole A Meta-Tour of This Site Douglas, Dirt, and Matter Out of Place The Knowledge Hydrant A Naïve Exploration of Computer-Supported Collaborative Learning Silent Synchronous Reading Sessions What the Fork is React Suspense? Visually Workshopping the AWS Cloud Are Data Unions the Future of Data? Pattern Languages in Programming and Interface Design A Metaphorical Reading Collection
Undetected AI Exam Answers
2025-01-12 · via Maggie Appleton

Researchers submitted entirely AI-generated exam answers to the undergraduate psychology department of a “reputable” UK university. The vast majority went undetected and the AI answers achieved higher scores than real students.

“We report a rigorous, blind study in which we injected 100% AI written submissions into the examinations system in five undergraduate modules, across all years of study, for a BSc degree in Psychology at a reputable UK university. We found that 94% of our AI submissions were undetected. The grades awarded to our AI submissions were on average half a grade boundary higher than that achieved by real students. Across modules there was an 83.4% chance that the AI submissions on a module would outperform a random selection of the same number of real student submissions.”

I have to assume educators are swiftly moving to hand-written exams under supervised conditions and oral exams. Anything else seems to negate the point of exams.