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@thesamesam
thesamesam / xz-backdoor.md
Last active November 4, 2024 18:32
xz-utils backdoor situation (CVE-2024-3094)

FAQ on the xz-utils backdoor (CVE-2024-3094)

This is a living document. Everything in this document is made in good faith of being accurate, but like I just said; we don't yet know everything about what's going on.

Background

On March 29th, 2024, a backdoor was discovered in xz-utils, a suite of software that

@rain-1
rain-1 / LLM.md
Last active November 2, 2024 12:14
LLM Introduction: Learn Language Models

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

@tomhicks
tomhicks / plink-plonk.js
Last active November 12, 2024 19:08
Listen to your web pages
@purcell
purcell / eglot-with-flycheck.el
Created October 10, 2019 20:39
Make eglot use flycheck
(defvar-local flycheck-eglot-current-errors nil)
(defun flycheck-eglot-report-fn (diags &rest _)
(setq flycheck-eglot-current-errors
(mapcar (lambda (diag)
(save-excursion
(goto-char (flymake--diag-beg diag))
(flycheck-error-new-at (line-number-at-pos)
(1+ (- (point) (line-beginning-position)))
(pcase (flymake--diag-type diag)
@dimovich
dimovich / .dir-locals.el
Last active July 28, 2019 12:22
Minimal ClojureScript + Reagent + CIDER
((nil
(cider-clojure-cli-global-options . "-A:cider")
(cider-default-cljs-repl . figwheel-main)
(cider-figwheel-main-default-options . ":dev")))
@cbilson
cbilson / ob-powershell.el
Created February 6, 2018 03:27
Rough draft: execute poweshell from emacs src blocks
;;; ob-powershell.el --- org-babel functions for powershell evaluation
;; Authors: Chris Bilson
;; Keywords: literate programming, reproducible research
;; Homepage: http://orgmode.org
;;; Commentary:
;; Org-Babel support for evaluating powershell source code.
@ammarshah
ammarshah / all_email_provider_domains.txt
Last active November 12, 2024 21:49
A list of all email provider domains (free, paid, blacklist etc). Some of these are probably not around anymore. I've combined a dozen lists from around the web. Current "major providers" should all be in here as of the date this is created.
0-mail.com
007addict.com
020.co.uk
027168.com
0815.ru
0815.su
0clickemail.com
0sg.net
0wnd.net
0wnd.org
@mosquito
mosquito / README.md
Last active November 14, 2024 08:39
Add doker-compose as a systemd unit

Docker compose as a systemd unit

Create file /etc/systemd/system/[email protected]. SystemD calling binaries using an absolute path. In my case is prefixed by /usr/local/bin, you should use paths specific for your environment.

[Unit]
Description=%i service with docker compose
PartOf=docker.service
After=docker.service

Getting Started in Scala

This is my attempt to give Scala newcomers a quick-and-easy rundown to the prerequisite steps they need to a) try Scala, and b) get a standard project up and running on their machine. I'm not going to talk about the language at all; there are plenty of better resources a google search away. This is just focused on the prerequisite tooling and machine setup. I will not be assuming you have any background in JVM languages. So if you're coming from Python, Ruby, JavaScript, Haskell, or anywhere…  I hope to present the information you need without assuming anything.

Disclaimer It has been over a decade since I was new to Scala, and when I was new to Scala, I was coming from a Java and Ruby background. This has probably caused me to unknowingly make some assumptions. Please feel free to call me out in comments/tweets!

One assumption I'm knowingly making is that you're on a Unix-like platform. Sorry, Windows users.

Getting the JVM

@karpathy
karpathy / pg-pong.py
Created May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym
# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward