eltonmarques96

{
	// Controls whether the editor shows CodeLens.
	"diffEditor.codeLens": false,

	// When enabled, the diff editor ignores changes in leading or trailing whitespace.
	"diffEditor.ignoreTrimWhitespace": true,

	// Timeout in milliseconds after which diff computation is cancelled. Use 0 for no timeout.
	"diffEditor.maxComputationTime": 5000,

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.

cpursley

PostgreSQL is Enough

See the new site: https://postgresisenough.dev

---

• Simplify: move code into database functions
• Just Use Postgres for Everything
• Just use Postgres
• PostgreSQL is the worlds’ best database

aamiaa

Caution

As of April 7th 2026, Discord has expressed their intent to crack down on automating quest completion.

Some users have received the following system message:

There isn't much I can do to make the script undetected, so use it at your own risk, as you most likely WILL get flagged by doing so.

Complete Recent Discord Quest

karpathy

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

KrasimirKralev

Hermes Agent on NVIDIA Jetson Orin Nano — Field Notes

Practical setup tips, performance observations, and gotchas from running a self-hosted AI agent runtime on a Jetson Orin Nano (8 GB) in production-like conditions.

Why the Orin Nano?

The Jetson Orin Nano is an odd duck: ARM64, 7–8 GB RAM shared between CPU/GPU, no x86 emulation shortcuts, and a Linux kernel that's just different enough to trip you up. But it's also:

• Cheap to run (~15 W under load)
• Silent (fan-cooled, no coil whine)

stith

quick script that, given a rekordbox library.xml file, converts all .flac files to .aiff, preserving file metadata like cue points, play count, and album art. also maintains the file's bit rate.

probably will fail in some weird cases that i didn't have to care about with my tiny baby library

Procid-GIT

So, I made my own OCR model, check it out at [https://github.com/Procid-GIT/fast-ocr-model-pytorch](https://github.com/Procid-GIT/fast-ocr-model-pytorch)!

Basic description:

It's a simple OCR Model that I made, that can recognize single characters pretty well. I am currently working on allowing it
to recognize sentences, transcribing images into text, but that is in a beta, which im attempting to implement via predicting single characters for every character in the sentence.

Its releases come in both a web deployment, and exe, with the web deployment coming with a frontend and backend, the web deployment runs on hugging face, with the frontend running here on github pages. It will take time for it to predict for the first user, as the hugging face backend is currently sleeping. So yeah, it uses CORS for that, and the AI for the web deployment runs on hugging face.

jackcarey

// ==UserScript==
// @name         Youtube Playlist Cleanser
// @version      2.4.1
// @description  Removes watched videos from playlist either by %watched, date or all
// @author       jackcarey / js6pak
// @match      http*://*.youtube.com/*
// @match      http*://youtube.com/*
// @run-at       document-idle
// @homepageURL  https://gist.github.com/jackcarey/ab8b23ebba87f3cf8d0ac4a2fa45eefc
// @downloadURL  https://gist.github.com/jackcarey/ab8b23ebba87f3cf8d0ac4a2fa45eefc/raw/youtube-playlist-cleanser.user.js

complxalgorithm

# Program make a simple calculator that can add, subtract, multiply and divide using functions

# define functions
def add(x, y):
   """This function adds two numbers"""

   return x + y

def subtract(x, y):
   """This function subtracts two numbers"""