Press minus + shift + s and return to chop/fold long lines!
extension_id=jifpbeccnghkjeaalbbjmodiffmgedin # change this ID
curl -L -o "$extension_id.zip" "https://clients2.google.com/service/update2/crx?response=redirect&os=mac&arch=x86-64&nacl_arch=x86-64&prod=chromecrx&prodchannel=stable&prodversion=44.0.2403.130&x=id%3D$extension_id%26uc"
unzip -d "$extension_id-source" "$extension_id.zip"Thx to crxviewer for the magic download URL.
FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.
Recently CSS has got a lot of negativity. But I would like to defend it and show, that with good naming convention CSS works pretty well.
My 3 developers team has just developed React.js application with 7668 lines of CSS (and just 2 !important).
During one year of development we had 0 issues with CSS. No refactoring typos, no style leaks, no performance problems, possibly, it is the most stable part of our application.
Here are main principles we use to write CSS for modern (IE11+) browsers:
... or Why Pipelining Is Not That Easy
Golang Concurrency Patterns for brave and smart.
By @kachayev
| # You don't need Fog in Ruby or some other library to upload to S3 -- shell works perfectly fine | |
| # This is how I upload my new Sol Trader builds (http://soltrader.net) | |
| # Based on a modified script from here: http://tmont.com/blargh/2014/1/uploading-to-s3-in-bash | |
| S3KEY="my aws key" | |
| S3SECRET="my aws secret" # pass these in | |
| function putS3 | |
| { | |
| path=$1 |
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.
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
HackerNews discussed this with many alternative solutions: https://news.ycombinator.com/item?id=24893615
I already have my own domain name: mydomain.com. I wanted to be able to run some webapps on my Raspberry Pi 4B running
perpetually at home in headless mode (just needs 5W power and wireless internet). I wanted to be able to access these apps from public Internet. Dynamic DNS wasn't an option because my ISP blocks all incoming traffic. ngrok would work but the free plan is too restrictive.
I bought a cheap 2GB RAM, 20GB disk VM + a 25GB volume on Hetzner for about 4 EUR/month. Hetzner gave me a static IP for it. I haven't purchased a floating IP yet.
I tried a few different techniques to make a GIF via command-line and the following gives me the best control of quality and size. Once you're all setup, you'll be pumping out GIFs in no time!
Install FFmpeg
Install ImageMagick
| #!/usr/bin/env bash | |
| set -eu # do not proceed on error | |
| if [ $# -lt 1 ] || [ "$1" = "--help" ] || [ "$1" = "-h" ]; then | |
| cat <<EOF | |
| Quick command to get a shell inside a running docker container. | |
| Usage: dexec [container_name] [command] |
