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A website to understand and study AI papers

A website to understand and study AI papers

by skzv·Jun 18, 2026·1 point·0 comments

AI Analysis

●●SolidCozySolve My Problem

Interactive figures with sliders beat static diagrams, but Distill.pub did this first.

Strengths
  • Playable figures with sliders and buttons, not just static diagrams
  • Hand-written content verified against source, flags where papers are wrong
  • Community queue system for requesting and upvoting papers to explain
Weaknesses
  • Only 53 papers in library, limited coverage compared to arXiv volume
  • Following established Distill.pub pattern, not breaking new educational ground
Category
Target Audience

Students and developers learning AI/ML research

Similar To

Distill.pub · Jay Alammar's blog · Papers With Code

Post Description

Hi all,

I recently built (and am continuing to improve) intuitivepapers.ai to help me study and understand AI research papers.

For me, it's important to build intuition for concepts, and when reading a research paper, that can take me a while. Also, papers can be unnecessarily intimidating or verbose. I also find myself having to jump around to prior papers to understand the preceding work. My motivation was to be able to read an explainer in one place that:

- explains the preceding foundations required to understand the paper - provides intuition - uses plain language where possible - provides concrete implementation examples, so I can understand how the idea is actually implemented in practice - cross references the paper against accompanying source code

I originally started building this as something for myself, but I thought others might find this helpful too.

New paper explainers are published regularly. There is a queue where you can submit and upvote papers for explaining.

At the bottom of each explainer is a feedback form where you can suggest improvements. I will incorporate these into already published explainers, but I will also incorporate the lessons into future posts as well.

Looking forward to everyone's feedback, and I hope you find this helpful!

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