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  • 【プロンプト公開】コスカタログ50選|愛音 雅👗AI Fashionista

    いつもご覧いただきありがとうございます。 画像記載のプロンプトはあくまでも一例です。 「ここ違うよ!」「ここはこうならないのかな?」「もしかしてあれ出来るのかな?」 こんな考えや疑問が湧いた場合には、是非一度プロンプトや手法の改良にチャレンジしてみてください。 プロンプトの詳しい使い方はブルペンさんのこちらの記事をご覧ください。 DLファイルは最下部にあります。 ※各セクションは単なる記号表記であり、意味はありません 1.MAmaid dress with lots of frills and ribbons, (closed collar long-sleeved blouse with frilled and ribbon:1.2), lace, apron, headdress, (a volumey pannier under a long petticoat:1.3), wris

      【プロンプト公開】コスカタログ50選|愛音 雅👗AI Fashionista
    • Command Line Interface Guidelines

      Contents Command Line Interface Guidelines An open-source guide to help you write better command-line programs, taking traditional UNIX principles and updating them for the modern day. Authors Aanand Prasad Engineer at Squarespace, co-creator of Docker Compose. @aanandprasad Ben Firshman Co-creator Replicate, co-creator of Docker Compose. @bfirsh Carl Tashian Offroad Engineer at Smallstep, first e

        Command Line Interface Guidelines
      • Why Japanese Websites Look So Different

        & how to analyze design choices without jumping to conclusions Over the years, I have had many encounters with Japanese websites — be it researching visa requirements, planning trips, or simply ordering something online. And it took me a loooong while to get used to the walls of text, lavish use of bright colors & 10+ different fonts that sites like this one throw in your face: Hankoya — a website

          Why Japanese Websites Look So Different
        • 報道の件に係る今後の弊社の取り組みについて - ピクシブ株式会社

          2022年6月16日 ピクシブ株式会社 代表取締役 國枝 信吾 過日報道されました、弊社におけるハラスメント事案に関しまして、まず、被害者である弊社従業員に対しまして、ハラスメント被害が起こってしまったことについて深く謝罪いたします。また、弊社内で様々な協議や事実確認に時間を要し、この度の声明が遅れたことに関しまして、深くお詫び申し上げます。 ハラスメントに関して企業としてあるべきいくつかの防止策を講じておりました。しかし、今回の事態を受けて、被害者に対する心情理解や対応が不十分であったと受け止めるべきと考えております。本件に対して真摯に向き合い、誠意をもって対応をしてまいりたいと考えております。 改めて、弊社としてハラスメント行為は絶対に許されない行為であると認識しております。その上で、本件において生じたハラスメント行為を防止するために、組織としてどのような問題があるのか、その背景要因を

            報道の件に係る今後の弊社の取り組みについて - ピクシブ株式会社
          • 訳文;「そこにはなんの報酬もありません。このゲームが何を為していてどう機能しているのか、ただただ見ていたかったのです」ジェンキンズ、カーソン、ホッキング、『Outer Wilds』へつづく2,3の論考 - すやすや眠るみたくすらすら書けたら

            翻訳の秋が今年もきました。また去年みたく面白い記事をいくつか見つけて勝手に紹介したいところです! 去年アップした『訳文;「"好奇心駆動型の冒険"とでも言うべき特殊なタイプの冒険に報酬を与えるゲームをつくりたい、それが『Outer Wilds』の主目的です」A・ビーチャム氏の論文より』で翻訳紹介した論考のなかで、参照文献として挙げられていた文献のうち2つ、ヘンリー・ジェンキンズ著『GAME DESIGN AS NARRATIVE ARCHITECTURE(物語による建築物としてのゲームデザイン)』とボニー・ルバーク取材『Clint Hocking Speaks Out On The Virtues Of Exploration(クリント・ホッキングが語る冒険の美徳)』。別記事1つ、ドン・カーソン著『Environmental Storytelling: Creating Immersive

              訳文;「そこにはなんの報酬もありません。このゲームが何を為していてどう機能しているのか、ただただ見ていたかったのです」ジェンキンズ、カーソン、ホッキング、『Outer Wilds』へつづく2,3の論考 - すやすや眠るみたくすらすら書けたら
            • Marie Kondo your software stack with open source

              As someone makes more money, expenses once considered luxuries can suddenly become seen as necessities: It’s called lifestyle creep. In the world of software development, we can suffer from a similar affliction: stack creep. Where hardware limitations once restricted developers to a minimalist approach, increased processing power, memory, and storage have led many down a more maximalist path. It’s

                Marie Kondo your software stack with open source
              • Deep Learning ideas that have stood the test of time

                Deep Learning is such a fast-moving field and the huge number of research papers and ideas can be overwhelming. The goal of this post is to review ideas that have stood the test of time. These ideas, or improvements of them, have been used over and over again. They’re known to work. If you were to start in Deep Learning today, understanding and implementing each of these techniques would probably

                • Good Data Analysis  |  Machine Learning  |  Google for Developers

                  Good Data Analysis Stay organized with collections Save and categorize content based on your preferences. Author: Patrick Riley Special thanks to: Diane Tang, Rehan Khan, Elizabeth Tucker, Amir Najmi, Hilary Hutchinson, Joel Darnauer, Dale Neal, Aner Ben-Artzi, Sanders Kleinfeld, David Westbrook, and Barry Rosenberg. History Last Major Update: Jun. 2019 An earlier version of some of this material

                    Good Data Analysis  |  Machine Learning  |  Google for Developers
                  • 出展作家 | 表現の不自由展・その後

                    「表現の不自由展」は、日本における「言論と表現の自由」が脅かされているのではないかという強い危機意識から、組織的検閲や忖度によって表現の機会を奪われてしまった作品を集め、2015年に開催された展覧会。「慰安婦」問題、天皇と戦争、植民地支配、憲法9条、政権批判など、近年公共の文化施設で「タブー」とされがちなテーマの作品が、当時いかにして「排除」されたのか、実際に展示不許可になった理由とともに展示した。今回は、「表現の不自由展」で扱った作品の「その後」に加え、2015年以降、新たに公立美術館などで展示不許可になった作品を、同様に不許可になった理由とともに展示する。 The exhibition was held in 2015 and the goal of the "Inconvenience of Expression Exhibition" was to highlight the ce

                      出展作家 | 表現の不自由展・その後
                    • Git Credential Manager: authentication for everyone

                      EngineeringGit Credential Manager: authentication for everyoneEnsuring secure access to your source code is more important than ever. Git Credential Manager helps make that easy. Universal Git Authentication “Authentication is hard. Hard to debug, hard to test, hard to get right.” – Me These words were true when I wrote them back in July 2020, and they’re still true today. The goal of Git Credenti

                        Git Credential Manager: authentication for everyone
                      • How Big Tech Runs Tech Projects and the Curious Absence of Scrum

                        Project management is a topic most people have strong opinions on, and I’m no exception. To answer the question of how different companies run engineering projects, I pulled in help from across the industry. In this issue we’ll cover: Project management approaches across the industry. An overview of a survey with over 100 companies represented, plus key takeaways.Project management at Big Tech. Ho

                          How Big Tech Runs Tech Projects and the Curious Absence of Scrum
                        • Migrating to OpenTelemetry | Airplane

                          At Airplane, we collect observability data from our own systems as well as remote “agents” that are running in our customers’ infrastructure. The associated outputs, which include the standard “three pillars of observability” (logs, metrics, and traces) are essential for us to monitor our infrastructure and also help customers debug problems in theirs. Over the last year, we’ve made a concerted ef

                            Migrating to OpenTelemetry | Airplane
                          • An Interview With Linus Torvalds: Linux and Git - Part 1 30 Years Of Linux

                            Jeremy founded Tag1 Consulting in 2007. He has been a contributing core Drupal developer since 2002, and helped establish Drupal as a successful CMS through the early popularity of his personal blog, KernelTrap.org. Over the years, he authored and maintained the core statistics module and throttle module, as well as the pager logic and the initial Drupal 5 installer. He continues to contribute to

                              An Interview With Linus Torvalds: Linux and Git - Part 1 30 Years Of Linux
                            • Kernel Queue: The Complete Guide On The Most Essential Technology For High-Performance I/O

                              Kernel Queue: The Complete Guide On The Most Essential Technology For High-Performance I/O When talking about high-performance software we probably think of server software (such as nginx) which processes millions requests from thousands clients in parallel. Surely, what makes server software work so fast is high-end CPU running with huge amount of memory and a very fast network link. But even the

                                Kernel Queue: The Complete Guide On The Most Essential Technology For High-Performance I/O
                              • Speculation in JavaScriptCore

                                This post is all about speculative compilation, or just speculation for short, in the context of the JavaScriptCore virtual machine. Speculative compilation is ideal for making dynamic languages, or any language with enough dynamic features, run faster. In this post, we will look at speculation for JavaScript. Historically, this technique or closely related variants has been applied successfully t

                                • 🌶️ IMHO 🌶️ - Rich Harris on frameworks, the web, and the edge.

                                  この記事はSvelte/Sveltekitの作者であるRich Harris氏による講演「🌶️ IMHO 🌶️」を翻訳したものです。 この記事の作成には、Whisperによる書き起こし、DeepLおよびChatGPTによる翻訳を補助的に使用しています。 また、本文中には適宜訳注を入れています。 この場を借りて、翻訳を許可していただいたRich氏、 またこの翻訳をきめ細かくレビューしていただいたtomoam氏、英文解釈の相談に乗っていただいたshamokit氏へ感謝を表明したいと思います。 So, I'm going to be giving a talk tonight called In My Humble Opinion, and it's a collection of loosely connected thoughts about recent trends in front

                                    🌶️ IMHO 🌶️ - Rich Harris on frameworks, the web, and the edge.
                                  • Building secure web apps using Web Workers | Mercari Engineering

                                    Security is paramount for our users, and we at mercari strive to provide a snappy and safe platform. We recently introduced an additional layer of defence by adding Web Workers to secure the access token. It now protects the users from various kinds of attacks, including token theft from Cross Site Scripting (XSS), Cross Site Request Forgery (CSRF), prototype pollution, zero-day npm package vulner

                                      Building secure web apps using Web Workers | Mercari Engineering
                                    • Why SQLite Uses Bytecode

                                      1. Introduction Every SQL database engine works in roughly the same way: It first translates the input SQL text into a "prepared statement". Then it "executes" the prepared statement to generate a result. A prepared statement is an object that represents the steps needed to accomplish the input SQL. Or, to think of it in another way, the prepared statement is the SQL statement translated into a fo

                                      • Best practices for developing cloud applications with AWS CDK | Amazon Web Services

                                        AWS DevOps Blog Best practices for developing cloud applications with AWS CDK April 20, 2022: Updates are available in the Best practices topic of the AWS CDK documentation. The documentation is the most up-to-date resource going forward. In this post, we discuss strategies for organizing the development of complex cloud applications with large teams, using the AWS Cloud Development Kit (AWS CDK)

                                          Best practices for developing cloud applications with AWS CDK | Amazon Web Services
                                        • Announcing Docusaurus 2.0 | Docusaurus

                                          Today we are extremely happy to finally announce Docusaurus 2.0! 🥳️ At Meta Open Source, we believe Docusaurus will help you build the best documentation websites with minimal effort, letting you focus on what really matters: writing the content. After 4 years of work, 75 alphas and 22 betas, the next generation of Docusaurus is ready for prime time. From now on, we now plan to respect Semantic V

                                            Announcing Docusaurus 2.0 | Docusaurus
                                          • Rome will be written in Rust 🦀

                                            Rome started off written in JavaScript because that is the language of choice for our team and it made it easier for others in the community to join as contributors. We love JavaScript and TypeScript (and HTML and CSS) at Rome, and we want to build the very best tooling possible for these languages. For a number of reasons, we’ve decided that Rust will provide a better foundation for this tooling.

                                              Rome will be written in Rust 🦀
                                            • What We Learned from a Year of Building with LLMs (Part I)

                                              Join the O'Reilly online learning platform. Get a free trial today and find answers on the fly, or master something new and useful. Learn more It’s an exciting time to build with large language models (LLMs). Over the past year, LLMs have become “good enough” for real-world applications. The pace of improvements in LLMs, coupled with a parade of demos on social media, will fuel an estimated $200B

                                                What We Learned from a Year of Building with LLMs (Part I)
                                              • How we built JSR

                                                We recently launched the JavaScript Registry - JSR. It’s a new registry for JavaScript and TypeScript designed to offer a significantly better experience than npm for both package authors and users: It natively supports publishing TypeScript source code, which is used to auto-generate documentation for your package It’s secure-by-default, supporting token-less publishing from GitHub Actions and pa

                                                  How we built JSR
                                                • Understanding all of Python, through its builtins

                                                  Python as a language is comparatively simple. And I believe, that you can learn quite a lot about Python and its features, just by learning what all of its builtins are, and what they do. And to back up that claim, I'll be doing just that. Just to be clear, this is not going to be a tutorial post. Covering such a vast amount of material in a single blog post, while starting from the beginning is p

                                                    Understanding all of Python, through its builtins
                                                  • GoにはなぜXという機能がないのか? 〜テスト関数ごとの暗黙的な初期化処理の実現を考察する | gihyo.jp

                                                    つきなみGo GoにはなぜXという機能がないのか? 〜テスト関数ごとの暗黙的な初期化処理の実現を考察する はじめに 筆者はGoだけではなく、Scalaなど他言語を扱った経験もあり、しばしばGoには他の言語にあるXという機能がなぜないのだろう?と考えることがあります。 たとえば、テスト関数ごとに暗黙的に呼ばれる初期化関数の定義があります。データベースに対するDrop・Create・Insertなどの処理をテストごとに実行したい場合に定義できると便利でしょう。同じ処理を都度書いているとテストケースが増えてきた時にメンテナンス性が下がってしまったり、初期化処理を追加し忘れてしまう恐れなどもあります。 しかし、Goにはこのようなテスト関数ごとに暗黙的に実行される初期化処理を定義できません。Goが他言語に劣っているようにもみえますが、本当にそうなのでしょうか? 公式のFAQにもあるように、とある機能

                                                      GoにはなぜXという機能がないのか? 〜テスト関数ごとの暗黙的な初期化処理の実現を考察する | gihyo.jp
                                                    • An AnandTech Interview with Jim Keller: 'The Laziest Person at Tesla'

                                                      Topics Covered AMD, Zen, and Project Skybridge Managing 10000 People at Intel The Future with Tenstorrent Engineers and People Skills Arm vs x86 vs RISC-V Living a Life of Abstraction Thoughts on Moore's Law Engineering the Right Team Idols, Maturity, and the Human Experience Nature vs Nurture Pushing Everyone To Be The Best Security, Ethics, and Group Belief Chips Made by AI, and Beyond Silicon A

                                                        An AnandTech Interview with Jim Keller: 'The Laziest Person at Tesla'
                                                      • How to Fix Slow Code in Ruby

                                                        Opens in a new windowOpens an external siteOpens an external site in a new window By Jay Lim and Gannon McGibbon At Shopify, we believe in highly aligned, loosely coupled teams to help us move fast. Since we have many teams working independently on a large monolithic Rails application, inefficiencies in code are sometimes inadvertently added to our codebase. Over time, these problems can add up to

                                                          How to Fix Slow Code in Ruby
                                                        • Rewriting the Ruby parser

                                                          At Shopify, we have spent the last year writing a new Ruby parser, which we’ve called YARP (Yet Another Ruby Parser). As of the date of this post, YARP can parse a semantically equivalent syntax tree to Ruby 3.3 on every Ruby file in Shopify’s main codebase, GitHub’s main codebase, CRuby, and the 100 most popular gems downloaded from rubygems.org. We recently got approval to merge this work into C

                                                            Rewriting the Ruby parser
                                                          • Advancing Excel as a programming language with Andy Gordon and Simon Peyton Jones - Microsoft Research

                                                            Episode 120 | May 5, 2021 Today, people around the globe—from teachers to small-business owners to finance executives—use Microsoft Excel to make sense of the information that occupies their respective worlds, and whether they realize it or not, in doing so, they’re taking on the role of programmer. In this episode, Senior Principal Research Manager Andy Gordon, who leads the Calc Intelligence tea

                                                              Advancing Excel as a programming language with Andy Gordon and Simon Peyton Jones - Microsoft Research
                                                            • CompressGPT: Decrease Token Usage 70%

                                                              I saw @VictorTaelin's tweet recently on increasing the effective context window for GPT-* by asking the LLM to compress a prompt which is then fed into another instance of the same model. This seemed like a neat trick, but in practice presents some issues; the compression can be lossy, crucial instructions can be lost, and less characters != less tokens. I set out to build a more usable version of

                                                                CompressGPT: Decrease Token Usage 70%
                                                              • Incident Metrics in SRE

                                                                Štěpán Davidovič Incident Metrics in SRE Critically Evaluating MTTR and Friends Boston Farnham Sebastopol Tokyo Beijing Boston Farnham Sebastopol Tokyo Beijing 978-1-098-10313-2 [LSI] Incident Metrics in SRE by Štěpán Davidovič Copyright © 2021 O’Reilly Media, Inc. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebas

                                                                • Blogged Answers: A (Mostly) Complete Guide to React Rendering Behavior

                                                                  Random musings on React, Redux, and more, by Redux maintainer Mark "acemarke" Erikson This is a post in the Blogged Answers series. Details on how React rendering behaves, and how use of Context and React-Redux affect rendering I've seen a lot of ongoing confusion over when, why, and how React will re-render components, and how use of Context and React-Redux will affect the timing and scope of tho

                                                                    Blogged Answers: A (Mostly) Complete Guide to React Rendering Behavior
                                                                  • Old CSS, new CSS / fuzzy notepad

                                                                    I first got into web design/development in the late 90s, and only as I type this sentence do I realize how long ago that was. And boy, it was horrendous. I mean, being able to make stuff and put it online where other people could see it was pretty slick, but we did not have very much to work with. I’ve been taking for granted that most folks doing web stuff still remember those days, or at least t

                                                                    • Accidentally Turing-Complete

                                                                      Accidentally Turing-Complete Some things were not supposed to be Turing-complete. This is a collection of such accidents. Stuff which is somehow limited (stack overflows, arbitrary configuration, etc) is still considered Turing complete, since all "physical" Turing machines are resource limited. C++ Templates Although they were initially not supposed to, C++ templates are Turing-complete. For proo

                                                                      • Manual Memory Management in Go using jemalloc - Dgraph Blog

                                                                        Become part of a community passionate about building better apps. Manual Memory Management in Go using jemalloc Dgraph Labs has been a user of the Go language since our inception in 2015. Five years and 200K lines of Go code later, we’re happy to report that we are still convinced Go was and remains the right choice. Our excitement for Go has gone beyond building systems, and has led us to even wr

                                                                          Manual Memory Management in Go using jemalloc - Dgraph Blog
                                                                        • The Legends of Runeterra CI/CD Pipeline

                                                                          The Legends of Runeterra CI/CD Pipeline Hi, I’m Guy Kisel, and I’m a software engineer on Legends of Runeterra’s Production Engineering: Shared Tools, Automation, and Build team (PE:STAB for short). My team is responsible for solving cross-team shared client technology issues and increasing development efficiency. We focus on the areas that empower other teams to do more and protect the team from

                                                                            The Legends of Runeterra CI/CD Pipeline
                                                                          • Why DRY is the most over-rated programming principle

                                                                            07 Jul, 2022 I figured I'd kick off my new blog with the most click baity thing I could think of. I suspect any developer reading this is aware of the DRY principle because it is just so ubiquitous. If not though, you just need to know that it stands for "Don't Repeat Yourself" and is generally invoked when advising people to not copy and paste snippets of code all over the place and instead conso

                                                                            • Patterns for Managing Source Code Branches

                                                                              Modern source-control systems provide powerful tools that make it easy to create branches in source code. But eventually these branches have to be merged back together, and many teams spend an inordinate amount of time coping with their tangled thicket of branches. There are several patterns that can allow teams to use branching effectively, concentrating around integrating the work of multiple de

                                                                                Patterns for Managing Source Code Branches
                                                                              • Understanding Garbage Collection in JavaScriptCore From Scratch

                                                                                JavaScript relies on garbage collection (GC) to reclaim memory. In this post, we will dig into JSC’s garbage collection system. Before we start, let me briefly introduce myself. I am Haoran Xu, a PhD student at Stanford University. While I have not yet contributed a lot to JSC, I found JSC a treasure of elegant compiler designs and efficient implementations, and my research is exploring ways to tr

                                                                                • Golang disables Nagle's Algorithm by default | Hacker News

                                                                                  If you trace this all the way back it's been in the Go networking stack since the beginning with the simple commit message of "preliminary network - just Dial for now " [0] by Russ Cox himself. You can see the exact line in the 2008 our repository here [1].As an aside it was interesting to chase the history of this line of code as it was made with a public SetNoDelay function, then with a direct s