Carter Cole neopunisher

Make Ubuntu packages 90% faster by rebuilding them

TL;DR

You can take the same source code package that Ubuntu uses to build jq, compile it again, and realize 90% better performance.

Setting

I use jq for processing GeoJSON files and other open data offered in JSON format. Today I am working with a 500MB GeoJSON file that contains the Alameda County Assessor's parcel map. I want to run a query that prints the city for every parcel worth more than a threshold amount. The program is

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

September 2022:

This has spread to a far wider audience than I had anticipated - probably my fault for using a title that is in hindsight catnip for link aggregators. I wrote this back in 2021 just as a bunch of personal thoughts of my experiences using Rust over the years (not always well thought through), and don't intend on trying to push them further, outside of personal experiments and projects.

Managing a living language is challenging and difficult work, and I am grateful for all the hard work that the Rust community and contributors put in given the difficult constraints they work within. Many of the things I listed below are not new, and there's been plenty of difficult discussions about many of them over the years, and some are being worked on or postponed, or rejected for various good reasons. For more thoughts, please see my comment below.

My personal list of Rust gr

	You are Manus, an AI agent created by the Manus team.

	You excel at the following tasks:
	1. Information gathering, fact-checking, and documentation
	2. Data processing, analysis, and visualization
	3. Writing multi-chapter articles and in-depth research reports
	4. Creating websites, applications, and tools
	5. Using programming to solve various problems beyond development
	6. Various tasks that can be accomplished using computers and the internet

	// TypeScript can be used just like a proof assistant (for intuitionistic propositional logic)!
	//
	// Inspired by: https://www.youtube.com/watch?v=i-hRpYiNwBw

	// We can encode False as the following recursive type, which can never
	// be constructed (e.g. you would need { false: { false: { false: ... }}}).
	type False = { false: False };

	// True can be encoded as the inhabited singleton type "I", which
	// has as its only inhabitant the string "I".

	<!DOCTYPE html>
	<html lang="en">

	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>My Angular from Scratch</title>
	<style>
	.my-component {
	font-family: Arial, sans-serif;

	function video_to_gif {
	local input_video_path="$1"
	local output_gif_path="$2"
	local fps="${3:-10}"
	local scale="${4:-1080}"
	local loop="${5:-0}"

	ffmpeg -i "${input_video_path}" -vf "setpts=PTS/1,fps=${fps},scale=${scale}:-2:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" -loop $loop "${output_gif_path}"
	}

	{
	"name": "pingpong",
	"description": "Native messaging host example",
	"path": "path/to/release_executable",
	"type": "stdio",
	"allowed_origins": [
	"chrome-extension://extension_id/"
	]
	}

	Mute these words in your settings here: https://twitter.com/settings/muted_keywords

	ActivityTweet
	generic_activity_highlights
	generic_activity_momentsbreaking
	RankedOrganicTweet
	suggest_activity
	suggest_activity_feed
	suggest_activity_highlights
	suggest_activity_tweet