Resources
Curated links on AI, education, and learning science.
Research
- Agentivism: a learning theory for the age of artificial intelligence — Yan & Gašević Proposes a new learning theory for how humans build durable capability through selective AI delegation and internalization.↗
- Anthropic research publications Ongoing safety and capability research from Anthropic.↗
- MIT RAISE — Responsible AI for education Research initiative focused on responsible AI in K–12 and higher education.↗
Blog Posts
- LLM Knowledge Bases — Andrej Karpathy Karpathy on using LLMs to build personal knowledge bases for research — and why more of his token throughput is going into manipulating knowledge rather than code.↗
- Personal AI Infrastructure — Daniel Miessler How Miessler built Kai, a modular agentic AI system across seven components (Intelligence, Context, Personality, Tools, Security, Orchestration, Interface) to augment human capability.↗
Audio / Video
- We're All Building a Single Digital Assistant A look at how personal AI assistants are converging toward a unified model of human-AI collaboration.↗
- Build Your Second Brain With Claude Code, Karpathy's Method Using Claude Code and Karpathy's LLM knowledge base approach to build a personal second brain.↗
Books
- Lifelong Kindergarten — Mitchel Resnick Argues that creativity flourishes when learning is organized around projects, passion, peers, and play — the way the best kindergartens work.↗
- Co-Intelligence — Ethan Mollick Practical guidance for working alongside AI as a genuine collaborative partner in business, education, and everyday life.↗
- Raising AI — De Kai An accessible guide to understanding AI through the lens of parenthood — framing AI not as gods or tools, but as our artificial children we must raise responsibly.↗
- Weapons of Math Destruction — Cathy O'Neil Exposes how opaque algorithmic models perpetuate inequality and make life-altering decisions without transparency or accountability.↗