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

denilsonsa

This was originally shared on reddit, but for some reason I cannot update it anymore. I've now mirrored it as this GitHub Gist.

List of alternative launchers for Android TV

For whatever reason, it's really difficult to discover alternative launchers for Android TV. Sure, you can find a couple of them, but there are so many terrible results that you will end up wasting quite some time.

Thus, I've compiled this list of alternative Android TV launchers. It's not comprehensive (I'm certain I missed some, please suggest them in comments); I'm not endorsing any particular one; and I have not tried all of them. Some are free, some are paid. Some contain ads. Some contain IAP (in-app purchases). Some require too many intrusive permissions.

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korakot

!pip install playwright
!playwright install
# colab need this for async
import nest_asyncio
nest_asyncio.apply()

# start browser, not to use 'with' context
from playwright.async_api import async_playwright
playwright = await async_playwright().start()
browser = await playwright.chromium.launch()

deepu105

Handover: Halogen + gufo behind LlamaStash on Strix Halo

You are setting up a local LLM stack on an AMD Strix Halo machine (Ryzen AI Max+ 395, Radeon 8060S, gfx1151, 128 GB unified memory) running native Linux. When you finish, the user can start any of these from LlamaStash (TUI, CLI, or its OpenAI/Anthropic proxy), each with ready-made presets:

LlamaStash row	Engine	Weights
flash-next-halogen	Halogen (Docker image)	Halogen native v2 .hgn (Qwen3.8-Flash-Next)
Qwen3.8-Flash-Next-UD-Q4_K_XL	gufo (native build)	Unsloth UD-Q4_K_XL GGUF + Unsloth shared MTP head
Qwen3.8-27B-UD-Q6_K	gufo (native build)	Unsloth UD-Q6_K GGUF + z-lab DFlash2 draft

Issykul

Office 2019 ISO images

updated 2021-06-23

Version 2105 (Build 14026.20302)

==========================================

sorted by language

ravarcheon

// ==UserScript==
// @name         the horse that stands in your way
// @namespace    http://tampermonkey.net/
// @version      2026-03-01
// @description  no more than 2 minutes of twitter. the first minute is a clear view, the second minute is where the horse slowly fades in. third minute and beyond there is nothing to see except horse
// @author       You
// @match        http://*.x.com/*
// @match        https://*.x.com/*
// @match        http://*.instagram.com/*
// @match        https://*.instagram.com/*

serialx

#!/bin/bash
# BSD Zero Clause License
# 
# Copyright (c) 2026 Sung-jin Hong
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted.
#
# THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
# REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY

t3dotgg

// Types for the result object with discriminated union
type Success<T> = {
  data: T;
  error: null;
};

type Failure<E> = {
  data: null;
  error: E;
};

basememara

import Foundation
import PlaygroundSupport

/// A thread-safe array.
public class SynchronizedArray<Element> {
    private let queue = DispatchQueue(label: "io.zamzam.ZamzamKit.SynchronizedArray", attributes: .concurrent)
    private var array = [Element]()
    
    public init() { }
    

VooDisss

Running Qwen3 Models with llama-server (Embedding + Reranking + Chat)

A practical guide to running multiple Qwen3 models through a single llama-server instance using model routing. Covers embedding, reranking, and chat/vision models.

Tested on Windows with RTX 3090 (24GB VRAM), llama-server build from llama.cpp master branch. Last updated: 2025-03-09.

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What you get