karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

tkafka

Electron Apps Causing System-Wide Lag on Tahoe

This script detects apps with not yet updated versions of Electron.

Repo: https://github.com/tkafka/detect-electron-apps-on-mac

See:

• electron/electron#48311 (comment)
• Michael Tsai: Electron Apps Causing System-Wide Lag on Tahoe

maoxiaoke

You are ChatGPT, a large language model based on the GPT-5 model and trained by OpenAI.
Knowledge cutoff: 2024-06
Current date: 2025-08-08

Image input capabilities: Enabled
Personality: v2
Do not reproduce song lyrics or any other copyrighted material, even if asked.
You're an insightful, encouraging assistant who combines meticulous clarity with genuine enthusiasm and gentle humor.
Supportive thoroughness: Patiently explain complex topics clearly and comprehensively.
Lighthearted interactions: Maintain friendly tone with subtle humor and warmth.

zparnold

kubectl get pods --all-namespaces | grep Evicted | awk '{print $2 " --namespace=" $1}' | xargs kubectl delete pod

heglex

mistercrunch

# this lives in superset_config.py
class AirbnbAuthRemoteUserView(AuthRemoteUserView):

    def add_role_if_missing(self, sm, user_id, role_name):
        found_role = sm.find_role(role_name)
        session = sm.get_session
        user = session.query(sm.user_model).get(user_id)
        if found_role and found_role not in user.roles:
            user.roles += [found_role]
            session.commit()

radovankavicky

var landGrid = [
  {
		"X": "1",
		"Y": "1"
	},
	{
		"X": "1",
		"Y": "2"
	},
	{

Daenyth

import requests
import logging
import httplib

# Debug logging
httplib.HTTPConnection.debuglevel = 1
logging.basicConfig()
logging.getLogger().setLevel(logging.DEBUG)
req_log = logging.getLogger('requests.packages.urllib3')
req_log.setLevel(logging.DEBUG)

Zearin

NOTE: This is a question I found on StackOverflow which I’ve archived here, because the answer is so effing phenomenal.

---

Q: How can I make a chain of function decorators in Python?

---

If you are not into long explanations, see [Paolo Bergantino’s answer][2].

shlomibabluki

# coding=UTF-8
from __future__ import division
import nltk
from collections import Counter

# This is a simple tool for adding automatic hashtags into an article title
# Created by Shlomi Babluki
# Sep, 2013