AI Education and Research Resources
This page collects durable educational/research resources that support the rest of the wiki.
Sources in this batch
- Distill is a classic machine-learning explanation resource.
- Google Learning Hub is a goal-based learning product source.
- The Book of Why, NeurIPS prize announcements, COSMOS-Web visualization, and Hugging Face arXiv-paper datasets are supporting research resources.
Research interest
The useful angle is infrastructure for learning and discovery: high-quality explanations, paper corpora, interactive visualizations, and goal-based learning systems can become inputs to agents, not just human reading material.
Open questions:
- Can research-paper datasets be turned into reliable agent tools without losing provenance?
- What makes an explanation resource agent-usable rather than merely human-readable?
- Can goal-based learning systems adapt to advanced researchers instead of beginners?