OrionReed

// 3D Dom viewer, copy-paste this into your console to visualise the DOM as a stack of solid blocks.
// You can also minify and save it as a bookmarklet (https://www.freecodecamp.org/news/what-are-bookmarklets/)
(() => {
  const SHOW_SIDES = false; // color sides of DOM nodes?
  const COLOR_SURFACE = true; // color tops of DOM nodes?
  const COLOR_RANDOM = false; // randomise color?
  const COLOR_HUE = 190; // hue in HSL (https://hslpicker.com)
  const MAX_ROTATION = 180; // set to 360 to rotate all the way round
  const THICKNESS = 20; // thickness of layers
  const DISTANCE = 10000; // ¯\\_(ツ)_/¯

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

anuraghazra

Variables

const shade = 100;
type Shade = 100;

Functions

DavidWells

/* Ultra lightweight Github REST Client */
// original inspiration via https://gist.github.com/v1vendi/75d5e5dad7a2d1ef3fcb48234e4528cb
const token = 'github-token-here'
const githubClient = generateAPI('https://api.github.com', {
  headers: {
    'User-Agent': 'xyz',
    'Authorization': `bearer ${token}`
  }
})

DavidWells

/* Using a JavaScript proxy for a super low code REST client */
// via https://dev.to/dipsaus9/javascript-lets-create-aproxy-19hg
// also see https://towardsdatascience.com/why-to-use-javascript-proxy-5cdc69d943e3
// also see https://github.com/fastify/manifetch
// also see https://github.com/flash-oss/allserver
// and https://gist.github.com/v1vendi/75d5e5dad7a2d1ef3fcb48234e4528cb

const createApi = (url) => {
  return new Proxy({}, {
    get(target, key) {

marco-prontera

var icqLibrary = icqLibrary || {};
icqLibrary.queue = icqLibrary.queue || [];

icqLibrary.queue.push(() => {
  console.log('Queue 1');
});
icqLibrary.queue.push(() => {
  console.log('Queue 2');
});

oliverjumpertz

<dialog open>
  <form method="dialog">
    <p>Do you want to confirm your action?</p>
    <div class="right">
      <input class="btn" type="submit" value="Ok" />
      <input class ="btn" type="submit" value="Cancel" />
    </div>
  </form>
</dialog>

mrtcmn

@supports (-webkit-backdrop-filter: none) or (backdrop-filter: none) {
  .blurred-container {
    -webkit-backdrop-filter: blur(10px);
    backdrop-filter: blur(10px);
  }
}

/* slightly transparent fallback for Firefox (not supporting backdrop-filter) */
@supports not ((-webkit-backdrop-filter: none) or (backdrop-filter: none)) {
  .blurred-container {

ingride

// C++ bit . save it in an example.cpp file
#include "emscripten.h"
extern "C" { 
 inline const char* cstr(const std::string& message) {
    char * cstr = new char [message.length()+1];
    std::strcpy (cstr, message.c_str());
    return cstr;
}
	EMSCRIPTEN_KEEPALIVE
	const char* getAMessage() {

Charles-Lennon

<div>
  <h1>This is an <strong>example</strong> block of <strong>text</strong>.</h1>
  <p>An SVG is used to <strong>emphasize</strong> a single word of a block of text by giving it an underline that uses an SVG. Semantically it is emphasized with a <code>strong</code> tag and visually it is emphasized with the SVG.</p>
</div>