Stephen Downes

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Recent Posts

Emergence Is Coupled to Scope, Not Level
Dank Learning: Generating Memes Using Deep Neural Network
Why does deep and cheap learning work so well?
When Nerve Cells Detect Patterns for Acquired Knowledge
BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains
How to become a Bayesian in eight easy steps: An annotated reading list
Open Badges: A Low-Cost Toolkit for Measuring Team Communication and Dynamics
Aggregated knowledge from a small number of debates outperforms the wisdom of large crowds
Do Neural Networks Show Gestalt Phenomena? An Exploration of the Law of Closure
Quantifying Controversy on Social Media
ERNIE: Enhanced Representation through Knowledge Integration
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
A Gentle Introduction to Deep Learning for Graphs
A Survey of Deep Learning for Scientific Discovery
Open is not forever: a study of vanished open access journals
Data Visceralization: Enabling Deeper Understanding of Data Using Virtual Reality
On the Turing Completeness of Modern Neural Network Architectures
How to represent part-whole hierarchies in a neural network
Non-Fungible Token (NFT): Overview, Evaluation, Opportunities and Challenges
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders
Wordcraft: a Human-AI Collaborative Editor for Story Writing
Can Confirmation Bias Improve Group Learning?
OPT: Open Pre-trained Transformer Language Models
Emergent Analogical Reasoning in Large Language Models
On the Opportunities and Risks of Foundation Models
Lessons Learnt from a Multimodal Learning Analytics Deployment In-the-wild
Practical and Ethical Challenges of Large Language Models in Education: A Systematic Literature Review
Language models trained on media diets can predict public opinion
Choose Your Weapon: Survival Strategies for Depressed AI Academics
Voyager: An Open-Ended Embodied Agent with Large Language Models
Exploring Large Language Models’ Cognitive Moral Development through Defining Issues Test
A Critical Examination of the Ethics of AI-Mediated Peer Review
Large Language Models: A Survey
Thousands of AI Authors on the Future of AI
Pedagogical Alignment of Large Language Models
Analyzing the Impact of AI Tools on Student Study Habits and Academic Performance
Generative Agent Simulations of 1,000 People
Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?
A First Introduction to Cooperative Multi-Agent Reinforcement Learning
Language Models: A Guide for the Perplexed
The Effects of Virtual Tutoring on Young Readers: Results from a Randomized Controlled Trial
Evaluating Generative AI Systems is a Social Science Measurement Challenge
Knowledge Graphs
Seeing the Politics of Decentralized Social Media Protocols
Why Language Models Hallucinate
Keywords are not always the key: A metadata field analysis for natural language search on open data portals
A principled way to think about AI in education
TeachLM: Post-Training LLMs for Education Using Authentic Learning Data
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Ten Principles of AI Agent Economics
Is Misinformation More Open? A Study of robots.txt Gatekeeping on the Web
What does it mean to understand language?