reader3

Source

  • Source kind: github-repository
  • URL: https://github.com/karpathy/reader3
  • Discovery source: https://github.com/karpathy/reader3
  • License: NOASSERTION
  • Distribution policy: public-summary-local-archive-only
  • Public mirror status: summary-only
  • Content hash: e2e59d5fd3e365bea4ae1809268107c4897c0e83626788d8de5f98df9a0832d1
  • First seen: 2026-05-15
  • Last changed: 2026-05-15

Classification

Summary

reader 3 !1 has many), open them up in this reader, copy paste text around to your favorite LLM, and read together and along. This project was 90% vibe coded just to illustrate how one can very easily $1. I’m not going to support it in any way, it’s provided here as is for other people’s inspiration and I don’t intend to improve it. Code is ephemeral now and libraries are over, ask your LLM…

What This Teaches

  • How modern LLM training or inference can be reduced to compact, inspectable systems.
  • Useful as a reference for building mental models of GPT-style models without hiding behind framework scale.

Why It Matters

This is high-priority for Vipin because it connects directly to LLM systems, evaluation, and research implementation judgment.

Repository Snapshot

  • Full name: karpathy/reader3
  • Default branch: master
  • HEAD: 64960f99d8d3c2eaaec56c6765b4c1aeae14c80b
  • Stars at crawl: 3622
  • Forks at crawl: 458
  • File count: 10
  • README path: README.md
  • License path: “
  • Created: 2025-11-18T02:37:00Z
  • Updated: 2026-05-15T18:21:06Z
  • Pushed: 2025-11-18T02:37:51Z

Top-Level Structure

  • [root]: 8
  • templates: 2

File Extension Profile

  • .html: 2
  • .py: 2
  • .gitignore: 1
  • .lock: 1
  • .md: 1
  • .png: 1
  • .python-version: 1
  • .toml: 1

Tags / Release-Like Markers

  • No git tags found in the shallow local clone.

Sample File Tree

  • .gitignore
  • .python-version
  • pyproject.toml
  • reader3.png
  • reader3.py
  • README.md
  • server.py
  • templates/library.html
  • templates/reader.html
  • uv.lock

Public Handling Notes

  • EXTRACTED: This page records public metadata and a source-grounded summary.
  • INFERRED: Full local preservation, when available, is for private/local use unless a license or explicit source policy makes public redistribution safe.
  • Do not treat this page as permission to republish unlicensed source text or code wholesale.