| """ | |
| 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 |
This is an OPML version of the HN Popularity Contest results for 2025, for importing into RSS feed readers.
Plug: if you want to find content related to your interests from thousands of obscure blogs and noisy sources like HN Newest, check out Scour. It's a free, personalized content feed I work on where you define your interests in your own words and it ranks content based on how closely related it is to those topics.
| # ~/.aerospace.toml | |
| config-version = 2 | |
| # Sensible defaults | |
| start-at-login = true | |
| enable-normalization-flatten-containers = true | |
| enable-normalization-opposite-orientation-for-nested-containers = true | |
| after-startup-command = [ |
nvidia-smi (NVIDIA System Management Interface) is a command-line tool that provides monitoring, management, and diagnostic information for NVIDIA GPU devices.
It communicates directly with the NVIDIA driver and GPU, and can:
| #!/usr/bin/env bash | |
| # Default values for percentages | |
| DEFAULT_WIRED_LIMIT_PERCENT=85 | |
| DEFAULT_WIRED_LWM_PERCENT=75 | |
| # Read input parameters or use default values | |
| WIRED_LIMIT_PERCENT=${1:-$DEFAULT_WIRED_LIMIT_PERCENT} | |
| WIRED_LWM_PERCENT=${2:-$DEFAULT_WIRED_LWM_PERCENT} |
| // ==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 http*://*.instagram.com/* | |
| // @icon https://www.google.com/s2/favicons?sz=64&domain=x.com | |
| // @grant none |
GRUB_INIT_TUNE="1000 334 1 334 1 0 1 334 1 0 1 261 1 334 1 0 1 392 2 0 4 196 2"
| #! /bin/bash | |
| # Ask user for sudo password (to be used when needed) | |
| read -s -p "Enter Password for sudo: " sudoPW | |
| # update CRAN repository below if needed | |
| REPO="'https://cran.rstudio.com/'" | |
| # Based on the instructions on Dean Attali's website: | |
| # https://deanattali.com/2015/05/09/setup-rstudio-shiny-server-digital-ocean/#user-libraries |