remvee

# Avoid annoying ActionController::UnknownHttpMethod exceptions like:
#
#   ActionController::UnknownHttpMethod) "CONNECT, accepted HTTP methods are get, head, put, post, delete, and options"
#
# Install this file in app/metal and these requests will receive a 405
# "Method Not Allowed" status and will be logged under `info'.
class IgnoreUnknownHttpMethod
  def self.call(env)
    [
     if ActionController::Request::HTTP_METHODS.include?(env["REQUEST_METHOD"].downcase)

airblade

# config/initializers/email.rb


# Monkey-patch to enable ActionMailer to send STMP email over SSL.
# Necessitated by Fastmail mandating SSL by 30 June 2012.
module ActionMailer
  class Base
    def perform_delivery_smtp(mail)
      destinations = mail.destinations
      mail.ready_to_send

coldnebo

  { "keys": ["home"], "command": "move_to", "args": {"to": "bol"} },
  { "keys": ["end"], "command": "move_to", "args": {"to": "eol"} }

Leayal

Installation

0. Requirements:

• make
• gcc
• g++

To install those two, you can run apt-get update && apt-get install make gcc g++.

If root privileges are required, sudo apt-get update && sudo apt-get install make gcc g++.

(Alternatively, you can install the package build-essential)

DavidBuchanan314

"""
31-round sha256 collision.

Not my research, just a PoC script I put together with numbers plugged in from the slide at
https://twitter.com/jedisct1/status/1772647350554464448 from FSE2024

SHA256 impl follows FIPS 180-4
https://nvlpubs.nist.gov/nistpubs/FIPS/NIST.FIPS.180-4.pdf
"""

chrissimpkins

Use these rapid keyboard shortcuts to control the GitHub Atom text editor on macOS.

Key to the Keys

• ⌘ : Command key
• ⌃ : Control key
• ⌫ : Delete key
• ← : Left arrow key
• → : Right arrow key
• ↑ : Up arrow key

480

MacOS X + oh my zsh + powerline fonts + visual studio code (vscode) terminal settings

Thank you everybody, Your comments makes it better

Install oh my zsh

http://ohmyz.sh/

sh -c "$(curl -fsSL https://raw.github.com/ohmyzsh/ohmyzsh/master/tools/install.sh)"

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.