I’m fascinated by Distill’s interactive visualizations that turn complex ML theory into an intuitive, hands‑on story. It feels like the future of research communication.
http://distill.pub/about/
I agree that intuitive visualizations are key to breaking down complex concepts, but don't you think this could also lead to oversimplification of certain ideas?
Have you seen their example on attention mechanisms? It really helps me grasp the concept, but I'm still a bit confused about how they're handling edge cases.