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what is paper-notes fr?

karpathy/paper-notes — explained in plain English

Analysis updated 2026-07-17 · repo last pushed 2017-04-17

711Audience · researcherComplexity · 1/5DormantSetup · easy

tl;dr

A personal, informal collection of Andrej Karpathy's rough notes and summaries on AI research papers he's reading, a window into how a leading researcher thinks, not a polished learning guide.

vibe map

mindmap
  root((repo))
    What it is
      Personal notes
      Paper summaries
      Informal jottings
    Content style
      Rough thoughts
      Questions raised
      No fixed structure
    Use cases
      See researcher's thinking
      Discover papers of interest
      Learn note-taking style
    Audience
      AI researchers
      ML students
      Curious readers

Code map

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what do people make with this?

VIBE 1

Browse what AI research papers a well-known researcher has been reading and what stood out to him

VIBE 2

See the kinds of questions and connections an experienced researcher makes while reading a paper

VIBE 3

Get quick, informal context on a paper before deciding whether to read it in full

VIBE 4

Use as inspiration for how to take your own working notes while studying research papers

what's the stack?

Markdown

how it stacks up fr

karpathy/paper-noteskarpathy/svmjstickernelz/opencode-mem
Stars711711711
LanguageJavaScriptTypeScript
Last pushed2017-04-172018-04-14
MaintenanceDormantDormant
Setup difficultyeasyeasyeasy
Complexity1/53/52/5
Audienceresearcherdevelopervibe coder

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · easy time til it works · 5min
License terms are not described in the explanation, check the repository directly before use.

in plain english

This is a personal note-taking repository where Andrej Karpathy (a well-known AI researcher) shares rough thoughts and summaries about academic papers he's reading. It's essentially a public thinking-out-loud space rather than a polished resource. The repo contains informal jottings, the kind of notes you might scribble while reading a research paper to capture the main ideas, interesting techniques, or questions that come up. It's not a structured database or a complete learning guide, it's more like someone's notebook that happens to be on GitHub where others can peek inside. Who would find this useful? Researchers and students working in AI and machine learning might browse through to see what papers were on Karpathy's radar and how he thinks about them. It's less about learning from the notes themselves and more about getting a window into how an experienced researcher approaches new papers, what they highlight, what questions they ask, what connections they make. The informal tone and incomplete nature actually make it feel more authentic than a polished tutorial would be. The repository description itself ("Random notes? There should be a better place for this I think...") suggests the creator sees this as somewhat temporary or ad-hoc. It's the kind of project someone maintains casually rather than as a primary contribution, which fits the label in the description that says it's "likely a short-term repo." Despite that caveat, it has attracted over 700 stars, which shows there's genuine interest in seeing how other people think through research papers, even if those thoughts are rough and incomplete.

prompts (copy fr)

prompt 1
Summarize the key papers Karpathy has taken notes on in this repo and what he found most interesting about each.
prompt 2
Using the note style in this repo, help me write similar informal notes on a paper I'm currently reading.
prompt 3
What questions or connections did Karpathy raise about a specific paper mentioned in these notes?
prompt 4
Compare the informal note-taking approach in this repo to how I might structure my own reading notes.
prompt 5
Pick one paper from these notes and explain the technique it introduces in plain English.

Frequently asked questions

what is paper-notes fr?

A personal, informal collection of Andrej Karpathy's rough notes and summaries on AI research papers he's reading, a window into how a leading researcher thinks, not a polished learning guide.

Is paper-notes actively maintained?

Dormant — no commits in 2+ years (last push 2017-04-17).

What license does paper-notes use?

License terms are not described in the explanation, check the repository directly before use.

How hard is paper-notes to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is paper-notes for?

Mainly researcher.

peek the repo → explain another one

This repo across BitVibe Labs

double-check against the repo, no cap.