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  • We need visual programming. No, not like that.

    SummaryMost visual programming environments fail to get any usage. Why? They try to replace code syntax and business logic but developers never try to visualize that. Instead, developers visualize state transitions, memory layouts, or network requests. In my opinion, those working on visual programming would be more likely to succeed if they started with aspects of software that developers already

    • アサクリ シャドウズ が燃えたのは、誤訳ではなく燃えるなりのことをしたから。別にフィクション満載で主人公を日本人以外の人種にも出来て同性愛描写もある 『Rise of the Ronin』 燃えてませんけど?

      弥助の出身の部族やカトリックの宣教師が同性愛に寛容だった可能性はほぼゼロと言って良いが、まぁ、いまは16世紀ではなく、21世紀、2024年ですからね 弥助も出てくる仁王のコエテクは現代的な時代劇(フィクション)として『Rise of the Ronin』(PS5独占タイトル)出してます ほんで、『Rise of the Ronin』の主人公キャラクターは様々な人種に設定できるし、劇中で同性との恋愛イベントもあるわけなんだけど、別に批判はどこからも出てないのよね それは、極めて現代的な見た目のデザインからしてフィクションとわかるのはもちろんのこと、 開発者は歴史的正確さについてアピールしてない上に、ゲームを始める前にも念押しで下記のように出るから 『本タイトルは日本の史実から着想を得たフィクションです。 ゲームを通じて歴史上の人物や出来事を描いていますが、 本タイトルの開発、販売に携わったチ

        アサクリ シャドウズ が燃えたのは、誤訳ではなく燃えるなりのことをしたから。別にフィクション満載で主人公を日本人以外の人種にも出来て同性愛描写もある 『Rise of the Ronin』 燃えてませんけど?
      • Ruby methods are colorless

        👋🏼 This is part of series on concurrency, parallelism and asynchronous programming in Ruby. It’s a deep dive, so it’s divided into 10 main parts: Your Ruby programs are always multi-threaded: Part 1 Your Ruby programs are always multi-threaded: Part 2 Consistent, request-local state Ruby methods are colorless Concurrent, colorless Ruby: Part 1, Threads Concurrent, colorless Ruby: Part 2, Fiber a

          Ruby methods are colorless
        • 日本語で検索しない人が英語を読むわけないので貼っておくね

          歴史改竄でどうこうはアサクリより前からやっている。いちおう実名ってことになってるのに Facebook 同様に地獄めいてる まぁ自分の経験をシェアするとか道徳的な話以外は Quora (en)も割と酷い Why do Afro-centrists claim that the first samurai warrior was a black African? - Quorahttps://www.quora.com/Why-do-Afro-centrists-claim-that-the-first-samurai-warrior-was-a-black-African この界隈で定番な日本のことわざは、 "For a Samurai to be brave, he must have a bit of black blood "(侍が勇敢であるためには、少しの黒人の血を持っていなければ

            日本語で検索しない人が英語を読むわけないので貼っておくね
          • Modern Approaches to Network Access Security

            This document is distributed as TLP:CLEAR. Disclosure is not limited. Sources may use TLP:CLEAR when information carries minimal or no foreseeable risk of misuse, in accordance with applicable rules and procedures for public release. Subject to standard copyright rules. TLP:CLEAR information may be distributed without restrictions. For more information on the Traffic Light Protocol, see cisa.gov/t

            • Nostr and ATProto - Shreyan Jain

              This post could’ve been titled “Nostr vs ATProto”, but that really isn’t what I wanted to do here. While I will be comparing and contrasting them a lot, and that’s kind of even the point of writing this, I didn’t want to really pit the two against each other at all, and especially not with the title. I also want to try avoiding commenting on the differences between the communities that have formed

              • How it became like this? Ruby Range class

                Understanding the core class design and usage via its evolution Years ago, my studies into the Ruby Evolution started with the persuasion that mastering the programming language to express one’s intentions clearly and efficiently may grow significantly by understanding how it evolved and what intentions were put behind its various elements. Moving back through the history of a change of some eleme

                  How it became like this? Ruby Range class
                • Good Managers Write Good

                  A guide to scaling product & engineering teams from $0 to past $100M ARR. © 2024. Stay SaaSy. In my time observing managers, one observation seems to repeat again and again: good managers write well, and bad managers write poorly. In fact, the best managers I’ve ever seen were not just good writers, they were terrific. And the worst managers I’ve ever had were not just bad writers, they were uncom

                    Good Managers Write Good
                  • A critical review of Marketing Mix Modeling — From hype to reality

                    Context Most companies spend large chunks of their budget on marketing. Often, without knowing the return of that investment. Marketing Mix Modeling has been promoted as the one method to shed light on the effect of marketing. Not quite coincidentally, this is mainly supported by people that have a self-serving interest to advocate MMM. Opposing standpoints are few and far between. In this post, I

                    • 生成 AI や Gemini の基本について学べる Generative AI Study Jam 開催のお知らせ

                      .app 1 .dev 1 #11WeeksOfAndroid 13 #11WeeksOfAndroid Android TV 1 #Android11 3 #DevFest16 1 #DevFest17 1 #DevFest18 1 #DevFest19 1 #DevFest20 1 #DevFest21 1 #DevFest22 1 #DevFest23 1 #hack4jp 3 11 weeks of Android 2 A MESSAGE FROM OUR CEO 1 A/B Testing 1 A4A 4 Accelerator 6 Accessibility 1 accuracy 1 Actions on Google 16 Activation Atlas 1 address validation API 1 Addy Osmani 1 ADK 2 AdMob 32 Ads

                        生成 AI や Gemini の基本について学べる Generative AI Study Jam 開催のお知らせ
                      • Codification, Technology Absorption, and the Globalization of the Industrial Revolution

                        NBER WORKING PAPER SERIES CODIFICATION, TECHNOLOGY ABSORPTION, AND THE GLOBALIZATION OF THE INDUSTRIAL REVOLUTION Réka Juhász Shogo Sakabe David Weinstein Working Paper 32667 http://www.nber.org/papers/w32667 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 July 2024 We give special thanks to Chris Meissner and John Tang for sharing their trade data for Belgium an

                        • Entering text in the terminal is complicated

                          The other day I asked what folks on Mastodon find confusing about working in the terminal, and one thing that stood out to me was “editing a command you already typed in”. This really resonated with me: even though entering some text and editing it is a very “basic” task, it took me maybe 15 years of using the terminal every single day to get used to using Ctrl+A to go to the beginning of the line

                          • The History of 18+ VTubers: Part 2

                            Welcome to Part 2 of The History of 18+ VTubers, where I’ll talk about what happened in this world in the year 2020. If you haven’t read Part 1, covering everything from 2017 to 2019, you can find it down below. 2020 - The year 18+ VTubing exploded2020 brought with it many, many new faces to the VTuber world. The subculture, already pretty big in Japan, would reach unprecedented heights this year

                              The History of 18+ VTubers: Part 2
                            • Finding IT Jobs in Japan: A Guide for Foreigners|Himanshu Jain

                              Have you ever imagined what it would be like to work as a software developer in Japan, and whether it is worthwhile? For many foreigners, Japan is an exotic country with a very different culture. For many foreigners, this country acts as a magnet. However, visiting a place and living there are altogether different things and completely different experiences. Visiting a country is like merely feeli

                                Finding IT Jobs in Japan: A Guide for Foreigners|Himanshu Jain
                              • Intel Vs. Samsung Vs. TSMC

                                Foundry competition heats up in three dimensions and with novel technologies as planar scaling benefits diminish. The three leading-edge foundries — Intel, Samsung, and TSMC — have started filling in some key pieces in their roadmaps, adding aggressive delivery dates for future generations of chip technology and setting the stage for significant improvements in performance with faster delivery tim

                                  Intel Vs. Samsung Vs. TSMC
                                • Eureka Labs

                                  Introducing Eureka Labs July 16, 2024 We are Eureka Labs and we are building a new kind of school that is AI native. How can we approach an ideal experience for learning something new? For example, in the case of physics one could imagine working through very high quality course materials together with Feynman, who is there to guide you every step of the way. Unfortunately, subject matter experts

                                  • Software Architecture in an AI World

                                    Navigating New Constraints, Requirements, and Capabilities Like almost any question about AI, “How does AI impact software architecture?” has two sides to it: how AI changes the practice of software architecture and how AI changes the things we architect. These questions are coupled; one can’t really be discussed without the other. But to jump to the conclusion, we can say that AI hasn’t had a big

                                      Software Architecture in an AI World
                                    • How to think in writing

                                      The reason I've spent so long establishing this rather obvious point [that writing helps you refine your thinking] is that it leads to another that many people will find shocking. If writing down your ideas always makes them more precise and more complete, then no one who hasn't written about a topic has fully formed ideas about it. And someone who never writes has no fully formed ideas about anyt

                                        How to think in writing
                                      • The sad state of property-based testing libraries

                                        The sad state of property-based testing libraries Posted on Jul 2, 2024 Property-based testing is a rare example of academic research that has made it to the mainstream in less than 30 years. Under the slogan “don’t write tests, generate them” property-based testing has gained support from a diverse group of programming language communities. In fact, the Wikipedia page of the original property-bas

                                        • research!rsc: Hash-Based Bisect Debugging in Compilers and Runtimes

                                          Setting the Stage Does this sound familar? You make a change to a library to optimize its performance or clean up technical debt or fix a bug, only to get a bug report: some very large, incomprehensibly opaque test is now failing. Or you add a new compiler optimization with a similar result. Now you have a major debugging job in an unfamiliar code base. What if I told you that a magic wand exists

                                          • Top Places to Visit and the Best Things to Do in Tokyo

                                            Initially, we named this guide “Tourist Attractions in Tokyo,” but we realized that the title did not do justice. Tokyo offers so many places to visit and things to do that even most long-time residents might not be able to experience them all. So, whether you plan to visit Tokyo as a tourist, for business, or to live there, we hope this guide to Tokyo’s attractions will be useful to everyone equa

                                              Top Places to Visit and the Best Things to Do in Tokyo
                                            • Panic! at the Tech Job Market

                                              Panic! at the Job Market “I have the two qualities you require to see absolute truth: I am brilliant and unloved.” ready for another too-long article about personal failure while blaming the world for our faults? let’s see where we end up with 7,000 9,000 10,000 11,500 words this time1. this post is sponsored by me. funding appreciated: https://github.com/sponsors/mattsta TOC: Job Openings vs. Int

                                              • The Data That Powers A.I. Is Disappearing Fast

                                                For years, the people building powerful artificial intelligence systems have used enormous troves of text, images and videos pulled from the internet to train their models. Now, that data is drying up. Over the past year, many of the most important web sources used for training A.I. models have restricted the use of their data, according to a study published this week by the Data Provenance Initia

                                                  The Data That Powers A.I. Is Disappearing Fast
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