MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

mike-zhang

// Implementation of a UDP proxy

package main

import (
	"flag"
	"fmt"
	"log"
	"net"
	"os"

ismasan

// Copyright (c) 2017 Ismael Celis

// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:

// The above copyright notice and this permission notice shall be included in all

wolfeidau

package main

import (
	"log"
	"net"
)

const (
	broadcastPort   = 56700
	peerPort        = 56750

christianbundy

Chromium OS ft. Docker

Chromium OS is cool. Chromium OS with crouton is cooler. Chromium OS with Docker is even cooler. This is specifically a guide for the Chromebook Pixel 2 (2015), but I can't think of any reason it wouldn't work with other devices.

1. Create a build environment
2. Customize the kernel
3. Build Chromium OS
4. Flash Chromium OS to USB
5. Install Chromium OS

cassiozen

Pixelbook Setup

Change your channel

Some of the features mentioned in this document only work on the beta or Dev channel. To change your channel:

1. chrome://help in a browser window
2. Click Detailed Build Information
3. Change Channel
4. Select Beta (Or Dev, if you're feeling adventurous)

xsaamiir

// from the talk https://www.youtube.com/watch?v=PTE4VJIdHPg
// futures
future := make(chan int, 1)
go func() {future <- process() }()
result := <-future

// async await
c := make(chan int, 1)
go func() { c <- process() }() // async
v := <-c // await

yoavg

Some remarks on Large Language Models

Yoav Goldberg, January 2023

Audience: I assume you heard of chatGPT, maybe played with it a little, and was imressed by it (or tried very hard not to be). And that you also heard that it is "a large language model". And maybe that it "solved natural language understanding". Here is a short personal perspective of my thoughts of this (and similar) models, and where we stand with respect to language understanding.

Intro

Around 2014-2017, right within the rise of neural-network based methods for NLP, I was giving a semi-academic-semi-popsci lecture, revolving around the story that achieving perfect language modeling is equivalent to being as intelligent as a human. Somewhere around the same time I was also asked in an academic panel "what would you do if you were given infinite compute and no need to worry about labour costs" to which I cockily responded "I would train a really huge language model, just to show that it doesn't solve everything!". We