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  • 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
    • Time on Unix

      Sections What is time Representing time Where do we usually find time on Unix System time, hardware time, internal timers Syncing time with external sources What depends on time Human perception of time What is time Time is relative Measuring time and standards Coordinating time Time zones DST Time, a word that is entangled in everything in our lives, something we’re intimately familiar with. Keep

        Time on Unix
      • Announcing New Tools for Building with Generative AI on AWS | Amazon Web Services

        AWS Machine Learning Blog Announcing New Tools for Building with Generative AI on AWS The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses. Just recently, generative AI app

          Announcing New Tools for Building with Generative AI on AWS | Amazon Web Services
        • New WebKit Features in Safari 15.4

          ContentsHTMLCSSWeb APIsJavaScriptWeb AppsMediaPrivacySecurityWKWebViewSafari Web ExtensionsWeb InspectorFeedbackAnd More With over 70 additions to WebKit, Safari 15.4 is packed with new web technologies, updates, and fixes. We’ve assembled a huge release as part of our commitment to web developers, and the people who use the web. This is the first big WebKit release of 2022, and we’re just getting

            New WebKit Features in Safari 15.4
          • Go: A Documentary

            Go: A Documentary by Changkun Ou <changkun.de> (and many inputs from contributors) This document collects many interesting (publicly observable) issues, discussions, proposals, CLs, and talks from the Go development process, which intends to offer a comprehensive reference of the Go history. Disclaimer Most of the texts are written as subjective understanding based on public sources Factual and ty

            • Linux Hardening Guide | Madaidan's Insecurities

              Last edited: March 19th, 2022 Linux is not a secure operating system. However, there are steps you can take to improve it. This guide aims to explain how to harden Linux as much as possible for security and privacy. This guide attempts to be distribution-agnostic and is not tied to any specific one. DISCLAIMER: Do not attempt to apply anything in this article if you do not know exactly what you ar

              • Decoded: GNU coreutils – MaiZure's Projects

                Helpful background for code reading The GNU coreutils has its foibles. Many of these utilities are approaching 30 years old and include revisions by many people over the years. Here are some things to keep in mind when reading the code: Tiny programs - These utilities are small, (mostly) single-source file programs designed to do one thing and do it well. They are not designed for long life or to

                • An Opinionated Guide to xargs

                  Preliminaries What Is xargs? It's an adapter between text streams and argv arrays, two essential concepts in shell. You pass it flags that specify how to split stdin. Then it generates arguments and invokes processes. Example: $ echo 'alice bob' | xargs -n 1 -- echo hi hi alice hi bob What's happening here? xargs splits the input stream on whitespace, producing 2 arguments, alice and bob. We passe

                  • AWS Lambda Under the Hood

                    Transcript Danilov: We'll talk about AWS Lambda, how it's built, how it works, and why it's so cool. My name is Mike Danilov. I'm a Senior Principal Engineer at AWS Serverless. A decade ago, I joined EC2 networking team, and it was a fantastic ride. Then, five years back, I heard about Lambda. I really liked the simplicity of the idea. We run your code in the cloud, no servers needed, so I joined

                      AWS Lambda Under the Hood
                    • Google’s FLoC Is a Terrible Idea

                      Update, April 9, 2021 : We've launched Am I FLoCed, a new site that will tell you whether your Chrome browser has been turned into a guinea pig for Federated Learning of Cohorts or FLoC, Google’s latest targeted advertising experiment. The third-party cookie is dying, and Google is trying to create its replacement. No one should mourn the death of the cookie as we know it. For more than two decade

                        Google’s FLoC Is a Terrible Idea
                      • My First Kernel Module: A Debugging Nightmare

                        This is the story of the time I wrote some code, deployed it to production, and ended up bricking the server it was running on by frying the kernel. Beautiful rendition of me frying the kernel This post is about perils of concurrency and race conditions. My code was nearly correct, but ultimately, there were two major synchronization bugs that killed it. This is a really long post that gets into t

                        • BeyondProd  |  Documentation  |  Google Cloud

                          Send feedback BeyondProd Stay organized with collections Save and categorize content based on your preferences. This content was last updated in May 2024, and represents the status quo as of the time it was written. Google's security policies and systems may change going forward, as we continually improve protection for our customers. This document describes how Google implements security in our i

                            BeyondProd  |  Documentation  |  Google Cloud
                          • HTTP/2 Rapid Reset: deconstructing the record-breaking attack

                            HTTP/2 Rapid Reset: deconstructing the record-breaking attack10/10/2023 This post is also available in 简体中文, 繁體中文, 日本語, 한국어, Deutsch, Français and Español. Starting on Aug 25, 2023, we started to notice some unusually big HTTP attacks hitting many of our customers. These attacks were detected and mitigated by our automated DDoS system. It was not long however, before they started to reach record b

                              HTTP/2 Rapid Reset: deconstructing the record-breaking attack
                            • A Terrible, Horrible, No-Good, Very Bad Day at Slack - Slack Engineering

                              A Terrible, Horrible, No-Good, Very Bad Day at Slack On May 12, 2020, Slack had our first significant outage in a long time. This is a detailed look into the technical issues that caused it. This story describes the technical details of the problems that caused the Slack downtime on May 12th, 2020. To learn more about the process behind incident response for same outage, read Ryan Katkov’s post, “

                                A Terrible, Horrible, No-Good, Very Bad Day at Slack - Slack Engineering
                              • Bringing Javascript to WebAssembly for Shopify Functions

                                Opens in a new windowOpens an external siteOpens an external site in a new window At Winter Editions 2023 we announced a Local Developer Preview for JavaScript for Shopify Functions. That means that we’re adding JavaScript right next to Rust as our first-class languages for Shopify Functions (but you can still use anything that compiles to WebAssembly!). While you can’t deploy a Shopify Function w

                                  Bringing Javascript to WebAssembly for Shopify Functions
                                • The 100 Most Influential Sequences in Animation History

                                  Historical expertise provided by Jerry Beck, Amelia Cook, Jason DeMarco, Maureen Furniss, Monique Henry-Hudson, Willow Catelyn Maclay, Linda Simensky, Koji Yamamura Entries by Rebecca Alter, Elly Belle, Kambole Campbell, Jen Chaney, Amelia Cook, Alex Costello, Marley Crusch, Toussaint Egan, Christopher L. Inoa, Genevieve Koski, Willow Catelyn Maclay, Rafael Motamayor, Sammy Nickalls, Joshua Rivera

                                    The 100 Most Influential Sequences in Animation History
                                  • Decoded: GNU coreutils – MaiZure's Projects

                                    Helpful background for code reading The GNU coreutils has its foibles. Many of these utilities are approaching 30 years old and include revisions by many people over the years. Here are some things to keep in mind when reading the code: Tiny programs - These utilities are small, (mostly) single-source file programs designed to do one thing and do it well. They are not designed for long life or to

                                    • Use One Big Server - Speculative Branches

                                      Thoughts on software, hardware, performance, math, and similar topics A lot of ink is spent on the “monoliths vs. microservices” debate, but the real issue behind this debate is about whether distributed system architecture is worth the developer time and cost overheads. By thinking about the real operational considerations of our systems, we can get some insight into whether we actually need dist

                                      • Troubling Trends in Machine Learning Scholarship

                                        By Zachary C. Lipton* & Jacob Steinhardt* *equal authorship Originally presented at ICML 2018: Machine Learning Debates [arXiv link] Published in Communications of the ACM 1   Introduction Collectively, machine learning (ML) researchers are engaged in the creation and dissemination of knowledge about data-driven algorithms. In a given paper, researchers might aspire to any subset of the following

                                        • It’s not wrong that "🤦🏼‍♂️".length == 7

                                          The string that contains one graphical unit consists of 5 Unicode scalar values. First, there’s a base character that means a person face palming. By default, the person would have a cartoonish yellow color. The next character is an emoji skintone modifier the changes the color of the person’s skin (and, in practice, also the color of the person’s hair). By default, the gender of the person is und

                                          • Announcing .NET Core 3.0 - .NET Blog

                                            .NET Conf 2023 The biggest .NET virtual event is back, November 14-16! Announcing .NET Core 3.0 We’re excited to announce the release of .NET Core 3.0. It includes many improvements, including adding Windows Forms and WPF, adding new JSON APIs, support for ARM64 and improving performance across the board. C# 8 is also part of this release, which includes nullable, async streams, and more patterns.

                                              Announcing .NET Core 3.0 - .NET Blog
                                            • Artificial Intelligence Risk Management Framework (AI RMF 1.0)

                                              NIST AI 100-1 Artificial Intelligence Risk Management Framework (AI RMF 1.0) NIST AI 100-1 Artificial Intelligence Risk Management Framework (AI RMF 1.0) This publication is available free of charge from: https://doi.org/10.6028/NIST.AI.100-1 January 2023 U.S. Department of Commerce Gina M. Raimondo, Secretary National Institute of Standards and Technology Laurie E. Locascio, NIST Director and Und

                                              • Patterns for Building LLM-based Systems & Products

                                                Patterns for Building LLM-based Systems & Products [ llm engineering production 🔥 ] · 66 min read Discussions on HackerNews, Twitter, and LinkedIn “There is a large class of problems that are easy to imagine and build demos for, but extremely hard to make products out of. For example, self-driving: It’s easy to demo a car self-driving around a block, but making it into a product takes a decade.”

                                                  Patterns for Building LLM-based Systems & Products
                                                • WebGPU — All of the cores, none of the canvas — surma.dev

                                                  WebGPU is an upcoming Web API that gives you low-level, general-purpose access GPUs. I am not very experienced with graphics. I picked up bits and bobs of WebGL by reading through tutorials on how to build game engines with OpenGL and learned more about shaders by watching Inigo Quilez do amazing things on ShaderToy by just using shaders, without any 3D meshes or models. This got me far enough to

                                                    WebGPU — All of the cores, none of the canvas — surma.dev
                                                  • Scaling from 2,000 to 25,000 engineers on GitHub at Microsoft - Jeff Wilcox

                                                    Scaling from 2,000 to 25,000 engineers on GitHub at Microsoft At Microsoft today we have almost 25,000 engineers participating in our official GitHub organizations for open source, a great number of them contributing to open source communities throughout GitHub. It’s been quite a ride: that’s 10X the engineers we were working with when I posted in 2015 about our experience scaling from 20 to 2,000

                                                    • Zig And Rust

                                                      Zig And Rust Mar 26, 2023 This post will be a bit all over the place. Several months ago, I wrote Hard Mode Rust, exploring an allocation-conscious style of programming. In the ensuing discussion, @jamii name-dropped TigerBeetle, a reliable, distributed, fast, and small database written in Zig in a similar style, and, well, I now find myself writing Zig full-time, after more than seven years of Ru

                                                      • Deep Dive on Amazon ECS Cluster Auto Scaling | Amazon Web Services

                                                        Containers Deep Dive on Amazon ECS Cluster Auto Scaling Introduction Up until recently, ensuring that the number of EC2 instances in your ECS cluster would scale as needed to accommodate your tasks and services could be challenging.  ECS clusters could not always scale out when needed, and scaling in could impact availability unless handled carefully. Sometimes, customers would resort to custom to

                                                          Deep Dive on Amazon ECS Cluster Auto Scaling | Amazon Web Services
                                                        • 文家はAIに文章制作の仕事を奪われるのか? 自己学習で進化し続ける海外の文章制作AI「Talk to Transfer」で実験してみよう

                                                          愛憎ブロマンス探索ホラーADV『さいはて駅』が無料で配信開始。「さいはて駅」で偶然再会した二人の男性の共依存と倒錯的な愛を描く ボタンひとつでロボットが部屋を掃除してくれ、コンビニバイトに代わりに行ってくれ、電気代や通信費などの支払いも勝手にやってくれる。そのあいだに私たちは勉学に勤しむなり、創作活動に打ち込むなり、あるいは秋の紅葉なんか見に行ったりするのだ。すてきではないか。 と、いうのはあきらかに作家の言い分である。村上春樹はかつて、芸術は奴隷制がなければ成り立たないと宣言し、「夜中の3時に寝静まった台所の冷蔵庫を漁るような人間には、それだけの文章しか書くことはできない。そして、それが僕だ」と凄絶な告白を行った。(『風の歌を聴け』、1979年) こういう人間にとって問題にされているのは、人間が自分の限界といかに戦ったか、の一点のみである。自分のための菜園を耕すように、私は文章を書く。そ

                                                            文家はAIに文章制作の仕事を奪われるのか? 自己学習で進化し続ける海外の文章制作AI「Talk to Transfer」で実験してみよう
                                                          • What I Worked On

                                                            February 2021 Before college the two main things I worked on, outside of school, were writing and programming. I didn't write essays. I wrote what beginning writers were supposed to write then, and probably still are: short stories. My stories were awful. They had hardly any plot, just characters with strong feelings, which I imagined made them deep. The first programs I tried writing were on the

                                                            • 18-956 Google LLC v. Oracle America, Inc. (04/05/2021)

                                                              1 (Slip Opinion) OCTOBER TERM, 2020 Syllabus NOTE: Where it is feasible, a syllabus (headnote) will be released, as is being done in connection with this case, at the time the opinion is issued. The syllabus constitutes no part of the opinion of the Court but has been prepared by the Reporter of Decisions for the convenience of the reader. See United States v. Detroit Timber & Lumber Co., 200 U. S

                                                              • Clear is better than clever | Dave Cheney

                                                                This article is based on my GopherCon Singapore 2019 presentation. In the presentation I referenced material from my post on declaring variables and my GolangUK 2017 presentation on SOLID design. For brevity those parts of the talk have been elided from this article. If you prefer, you can watch the recording of the talk. Readability is often cited as one of Go’s core tenets, I disagree. In this a

                                                                • How a simple Linux kernel memory corruption bug can lead to complete system compromise

                                                                  In this case, reallocating the object as one of those three types didn't seem to me like a nice way forward (although it should be possible to exploit this somehow with some effort, e.g. by using count.counter to corrupt the buf field of seq_file). Also, some systems might be using the slab_nomerge kernel command line flag, which disables this merging behavior. Another approach that I didn't look

                                                                  • Transformers from scratch | peterbloem.nl

                                                                    18 Aug 2019 code on github video lecture I will assume a basic understanding of neural networks and backpropagation. If you’d like to brush up, this lecture will give you the basics of neural networks and this one will explain how these principles are applied in modern deep learning systems. A working knowledge of Pytorch is required to understand the programming examples, but these can also be sa

                                                                    • What should Russia do with Ukraine? [Translation of a propaganda article by a Russian journalist]

                                                                      Disclaimer: What you are about to read is a direct translation of an article written by a russian propagandist. This is what real #Russia wants. Please read and share. This text will soon be translated into other languages so that everyone in the world can read about Russia’s crimes. The original article in Russian is here. In case of deletion — a link to the web archive. This is the article that

                                                                        What should Russia do with Ukraine? [Translation of a propaganda article by a Russian journalist]
                                                                      • How Figma's Databases Team Lived to Tell the Scale | Figma Blog

                                                                        Our nine month journey to horizontally shard Figma’s Postgres stack, and the key to unlocking (nearly) infinite scalability. Vertical partitioning was a relatively easy and very impactful scaling lever that bought us significant runway quickly. It was also a stepping stone on the path to horizontal sharding. Figma’s database stack has grown almost 100x since 2020. This is a good problem to have be

                                                                          How Figma's Databases Team Lived to Tell the Scale | Figma Blog
                                                                        • Macroprudentialism

                                                                          COVID ECONOMICS VETTED AND REAL-TIME PAPERS FROM THE GREAT RECESSION TO THE PANDEMIC RECESSION Francis X. Diebold ELECTORAL POLITICS AND SMALL BUSINESS LOANS Ran Duchin and John Hackney GROWTH FORECASTS AT END-2020 Javier G. Gómez-Pineda STOP-AND-GO EPIDEMIC CONTROL Claudius Gros and Daniel Gros CONSUMPTION RESPONSES TO STIMULUS PAYMENTS So Kubota, Koichiro Onishi and Yuta Toyama CHILD CARE CLOSUR

                                                                          • Digging into the Privacy Sandbox  |  Articles  |  web.dev

                                                                            Digging into the Privacy Sandbox Stay organized with collections Save and categorize content based on your preferences. The Privacy Sandbox is a series of proposals to satisfy third-party use cases without third-party cookies or other tracking mechanisms. Summary This post outlines APIs and concepts from the Privacy Sandbox proposals. The proposal authors are inviting feedback from the community,

                                                                            • NLP Research Highlights — Issue #1

                                                                              Welcome to the first quarterly issue of the natural language processing (NLP) Research Highlights series. The goal is to provide you with a summary and a closer look at a collection of interesting NLP research papers and topics that we recently came across. We aim to distill the important parts of each paper and to make these works more approachable to the reader. This series will also allow us to

                                                                                NLP Research Highlights — Issue #1
                                                                              • Building data-centric apps with a reactive relational database

                                                                                Building apps is too hard. Even skilled programmers who don’t specialize in app development struggle to build simple interactive tools. We think that a lot of what makes app development hard is managing state: reacting and propagating changes as the user takes actions. We’re exploring a new way to manage data in apps by storing all app state—including the state of the UI—in a single reactive datab

                                                                                  Building data-centric apps with a reactive relational database
                                                                                • Developer Agreement – Twitter Developers

                                                                                  <g> <g> <defs> <rect id="SVGID_1_" x="-468" y="-1360" width="1440" height="3027" /> </defs> <clippath id="SVGID_2_"> <use xlink:href="#SVGID_1_" style="overflow:visible;" /> </clippath> </g> </g> <rect x="-468" y="-1360" class="st0" width="1440" height="3027" style="fill:rgb(0,0,0,0);stroke-width:3;stroke:rgb(0,0,0)" /> <path d="M13.4,12l5.8-5.8c0.4-0.4,0.4-1,0-1.4c-0.4-0.4-1-0.4-1.4,0L12,10.6L6.2

                                                                                    Developer Agreement – Twitter Developers