thecodeholic

{
	"Create public function": {
		"prefix": "pubf",
		"body": [
			"public function $1()",
			"{",
			"\t$2",
			"}",
		],
		"description": "Create public function"

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

buntagonalprism

#set( $nameparts = $NAME.split("_"))
#set( $namepart = '')
#set( $classname = '')
#foreach( $namepart in $nameparts )
    #set( $classname = $classname + $namepart.substring(0, 1).toUpperCase() + $namepart.substring(1))
#end

class $classname {

    // TODO: add class properties and methods

aditya-malte

veekaybee

ChatGPT Resources

Context

ChatGPT appeared like an explosion on all my social media timelines in early December 2022. While I keep up with machine learning as an industry, I wasn't focused so much on this particular corner, and all the screenshots seemed like they came out of nowhere. What was this model? How did the chat prompting work? What was the context of OpenAI doing this work and collecting my prompts for training data?

I decided to do a quick investigation. Here's all the information I've found so far. I'm aggregating and synthesizing it as I go, so it's currently changing pretty frequently.

Model Architecture

willurd

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

Shuggy999

#EXTM3U

#EXTINF:-1,BBC One HD
https://vs-hls-push-uk-live.akamaized.net/x=4/i=urn:bbc:pips:service:bbc_one_hd/t=3840/v=pv14/b=5070016/main.m3u8
#EXTINF:-1,BBC One Wales HD
https://vs-hls-pushb-uk-live.akamaized.net/x=4/i=urn:bbc:pips:service:bbc_one_wales_hd/t=3840/v=pv14/b=5070016/main.m3u8
#EXTINF:-1,BBC One Northern Ireland HD
https://vs-hls-pushb-uk-live.akamaized.net/x=4/i=urn:bbc:pips:service:bbc_one_northern_ireland_hd/t=3840/v=pv14/b=5070016/main.m3u8
#EXTINF:-1,BBC One Scotland HD
https://vs-hls-pushb-uk-live.akamaized.net/x=4/i=urn:bbc:pips:service:bbc_one_scotland_hd/t=3840/v=pv14/b=5070016/main.m3u8

hakerdefo

deb http://archive.ubuntu.com/ubuntu/ jammy main restricted universe multiverse
# deb-src http://archive.ubuntu.com/ubuntu/ jammy main restricted universe multiverse

deb http://archive.ubuntu.com/ubuntu/ jammy-updates main restricted universe multiverse
# deb-src http://archive.ubuntu.com/ubuntu/ jammy-updates main restricted universe multiverse

deb http://archive.ubuntu.com/ubuntu/ jammy-security main restricted universe multiverse
# deb-src http://archive.ubuntu.com/ubuntu/ jammy-security main restricted universe multiverse

deb http://archive.ubuntu.com/ubuntu/ jammy-backports main restricted universe multiverse

nitred

About

• I faced bandwidth issues between a WG Peer and a WG server. Download bandwidth when downloading from WG Server to WG peer was reduced significantly and upload bandwidth was practically non existent.
• I found a few reddit posts that said that we need to choose the right MTU. So I wrote a script to find an optimal MTU.
• Ideally I would have liked to have run all possible MTU configurations for both WG Server and WG Peer but for simplicity I choose to fix the WG Server to the original 1420 MTU and tried all MTUs from 1280 to 1500 for the WG Peer.

Testing

• On WG server, I started an iperf3 server
• On WG peer, I wrote a script that does the following:
  • wg-quick down wg0
• Edit MTU in the /etc/wireguard/wg0.conf file

jkullick

Prerequirements

Connect to Host via SSH with tunneled ports:

ssh $USER@$HOST -L 5910:localhost:5910 -L 5911:localhost:5911

Whonix Gateway

1. Download & Extract Whonix Gateway: