  |
はてなキーワード: and Aとは
元増田です。
deep researchを使うと必ず一回はリサーチの方針を固めるための質問を聞き返してくるので、「具体的には～」の手前で区切って2回に分けて投稿した。この聞き返してくる質問（具体的に調べることの例示）によって「ああそういうのを調べるのもいいね」ってヒントになったりするので、自分で直接使うと使い勝手もちょっと変わるかもしれない。
シェアしたページからは見れないけど、どういうふうに調べていってるのか推論過程が表示されている。ChatGPTの言語設定によってその言語も変わるものの、それが結果に影響するのかは不明瞭だ（使っている印象ではただの飾りっぽくも見える）。仮に影響するとしたら、少なくともdeep research用のモデル（OpenAIはこれ専用のモデルがあると述べている）だと日本語の拙さが若干漏れ出ているので、言語設定は英語のままでいいや…という気持ちになった。
1. 日本語で指示（ChatGPTの言語設定: 英語）: ChatGPT - アンチAI現象分析
2. 日本語で指示（ChatGPTの言語設定: 日本語）: ChatGPT - アンチAI多角的分析
3. 英語で指示: ChatGPT - Anti-AI Resistance Analysis
ChatGPT
Piecing together a comprehensive analysis on cancel culture against generative AI or anti-AI resistance, covering social, economic, cultural, ethical, political, international, and historical perspectives.
Examining past and present anti-tech movements, such as the Luddite movement and early internet resistance, to draw parallels with current debates on generative AI.
Tracing how companies resisted digitalization, like newspapers and Napster, and their strategic shifts. Considering resistance to computing, including debates on universal adoption and regulatory responses.
Searched for AI technology impact on unemployment
ChatGPT
I'm capturing insights on international AI's workplace impact and EU job concerns. Progress is steady, yet data comparison remains elusive.
ChatGPT
In the EU, a survey from IE University shows 68% desire regulation to prevent job instability due to ChatGPT, up 18% from 2022.
Searched for technophobia and social anxiety examples
ChatGPT
I’m thinking about the implications of technology on social anxiety. This topic involves gathering insights and unpacking the interplay between tech and psychological impacts.
Searched for social anxiety about new technology
Searched for social anxiety and technology criticism
ChatGPT
Tracking public anxiety about job loss due to new tech. Comparing US and Japan, Americans are notably more anxious, which might hinder tech adoption.
Searched for examples of neo-Luddite movement
ChatGPT
I’m piecing together historical context with Wikipedia, examining modern neo-Luddite movements in Wired JP and news posts, and exploring cultural perspectives in Mainichi news and a blog.
ChatGPT
生成AIに対する抵抗運動とキャンセルカルチャーの関連を探りながら、社会、経済、文化、倫理、政治の各側面から現状を分析し、将来の技術と社会の共存を展望。
生成AIの影響範囲をさらに掘り下げるため、Ludditeの歴史的背景、デジタル技術の社会的動向、地域差異、そして未来の展望について詳細な分析を実施中。
社会、経済、文化、倫理、政治の視点から、生成AIに対する反発の要因を詳しく見ている。各国のアプローチも取り入れて、地域差異を掘り下げている。
生成AIの影響を社会、経済、文化、倫理、政治の観点から詳述し、各国のアプローチを線ずれしながら地域差異を明らかにしている。
Searched for Luddite movement history
ChatGPT
en.wikipedia.org を読み込みました
ChatGPT
Searched for Neo-Luddite resistance to technology
ChatGPT
アトランティック誌の「新しいラディテスは引かない」とは、スマホなどを拒否する現代の若者について触れている。
theatlantic.com を読み込みました
ChatGPT
このアトランティックの記事はモリー・クラベイブルの活動を扱っている。
ChatGPT
ラッダイト運動を現代の動きと結びつけ、AIやテクノロジーの影響を懸念する新たなラッダイトと同様の活動を示す。
Searched for protests against automation history
ChatGPT
ロボットが職を奪う未来、アカデミックな歴史と現代的な抗議のつながりを模索している。
smithsonianmag.com を読み込みました
ChatGPT
工業資本主義の新ロジックが、技術革新の利益を所有者に集中させ、労働者との分配を阻んでいる。AIの生産性向上が収益を所有者に集中させ、労働者のリストラを招く可能性が示唆されている。
Searched for resistance to surveillance capitalism
ChatGPT
ユーザーが「プライバシー活動 デジタル権利運動」と検索している。進展を確認し、重要な点をリストアップする。
Searched for digital privacy movement history
ChatGPT
個人情報保護運動やPRISMプログラムに対する抗議、GDPR導入から始まり、Cambridge Analyticaスキャンダルが引き起こした#DeleteFacebook運動、Mark Zuckerbergの証言など、幅広い活動がある。
Searched for techlash and privacy backlash
ChatGPT
ケンブリッジ・アナリティカの事件が2018年の技術の逆風の象徴であったことを確認している。公衆の怒りと規制需要が高まっているのが見て取れるね。
Searched for generative AI protests and lawsuits
ChatGPT
現在進行中の生成AI反発の動きとして、抗議活動、市場介入が挙げられる。イタリアがChatGPTを一時的に禁止し、EUのAI法案が2024年に施行予定。芸術コミュニティの規制、ボイコット運動が見られる。
Searched for 2023 writers strike AI agreement
wired.com を読み込みました
ChatGPT
契約はAI使用制限や透明性を求め、創作者を保護している。これは職業の未来に対する警戒心を示している。
Searched for EU AI Act regulations 2023
ChatGPT
EUのAI規制案、米国の競争政策、中国の使用と規制の摩擦を分析している。
Searched for China generative AI regulation 2023
reuters.com を読み込みました
ChatGPT
中国はAIの支援と制御をバランスよく進め、内容は社会主義の核心価値に合致しなければならないとしています。また、知的財産侵害を防ぎ、合法的なデータ源を使用する必要があります。2030年までに米国と競い、規制の先を進むためのガイドラインを設けています。
こういうのもいける？ちなURLはスパム対策で7個か8個までしか貼れなかった気がする
英語版:
英語版:
Let’s face it: starting a conversation on a dating app can feel terrifying. You see someone you’re interested in, you type out a message, and then… you delete it. “Is this too boring?” “Will they even respond?” “What if I sound awkward?”
We’ve all been there. That first message can make or break your chances of connecting with someone amazing. But here’s the good news: you don’t have to overthink it. With the right opening line, you can spark a conversation that feels natural, fun, and meaningful.
At MixerDates, we believe that every great connection starts with a great conversation. That’s why we’ve put together this guide to help you craft the best dating app opening lines—ones that stand out, show your personality, and lead to real connections. Ready to ditch the “hey” and start making an impact? Let’s dive in!
[:contents]
Before we get into the best opening lines, let’s talk about why your first message is so important.
Your opening line is your chance to make a great first impression. It’s the gateway to a conversation that could lead to something special. A thoughtful, creative message shows that you’re genuinely interested—not just swiping mindlessly.
Your first message sets the tone for the entire conversation. A boring or generic opener might lead to a dull chat, while a fun or intriguing one can spark excitement and curiosity.
Let’s be real: everyone loves feeling special. When you put effort into your opening line, it shows that you care enough to stand out. And on MixerDates, where we value authenticity and positivity, that effort goes a long way.
Now, let’s get to the good stuff—the best dating app opening lines that actually work. These are divided into categories to suit different personalities and situations.
While the examples above are great starting points, the best opening lines are the ones that feel authentic to you. Here are some tips to help you craft your own:
Reference something from their profile—a photo, a hobby, or a shared interest. It shows you’re paying attention and not just copying and pasting.
Avoid heavy or overly serious topics right off the bat. Keep the tone light and playful to make the conversation enjoyable.
Don’t try to be someone you’re not. If you’re naturally funny, lean into that. If you’re more thoughtful, go for a sincere compliment or question.
“Hey” or “What’s up?” might be easy, but they’re also forgettable. Put in a little effort to stand out.
This gives the other person an easy way to respond and keeps the conversation flowing.
At MixerDates, we’re all about creating a positive, inclusive space where you can feel comfortable being yourself. Here’s why our platform is the best place to put these opening lines into practice:
We welcome everyone, no matter who you are or who you love. Our platform is designed to be a safe space where you can connect with like-minded people.
Our users create detailed profiles that make it easy to find shared interests and craft personalized opening lines.
We encourage our community to be genuine and kind, so you can feel confident starting conversations without fear of judgment or rejection.
Don’t just take our word for it—here’s what one of our users had to say:
“I met my partner on MixerDates, and it all started with a simple message about our shared love for travel. The conversation flowed naturally, and the rest is history. I’m so grateful for this platform!”
While a great opening line can spark a conversation, building a real connection takes more than just a clever message. Here are the key elements to look for when seeking a meaningful connection:
A strong connection starts with alignment on the things that matter most. Do you share similar values, life goals, or visions for the future?
Look for someone who is willing to share their thoughts, feelings, and vulnerabilities—and who encourages you to do the same.
Healthy relationships are a two-way street. Both people should be putting in effort to communicate, plan dates, and support each other.
A true connection allows both people to be themselves without judgment. Look for someone who celebrates your uniqueness and encourages you to pursue your passions.
Communication is the foundation of any strong relationship. A mutual connection thrives on honesty, transparency, and the ability to resolve conflicts in a healthy way.
At MixerDates, we’re here to help you find these key elements in a partner. Our platform is designed to connect you with people who share your values and are looking for the same things you are. Starting a conversation on a dating app doesn’t have to be stressful. With the right opening line, you can spark a connection that feels natural, fun, and meaningful. And at MixerDates, we’re here to help you every step of the way.
So, what are you waiting for? Craft that perfect opening line, join MixerDates, and start connecting with people who value authenticity and positivity. Your perfect match is out there—and they’re just one message away.
First dates can be exciting and nerve-wracking all at once. You’re meeting someone new, learning about their interests, and trying to figure out if there’s chemistry between you. And then there’s flirting, that delicate dance of showing someone you’re interested without being too forward or awkward.
Flirting doesn’t have to be a high-pressure situation. In fact, it can be the most fun part of getting to know someone. Whether you're meeting someone on MixerDates or any other platform, the most important thing is to be genuine, stay calm, and let the connection develop naturally.
If you’ve ever found yourself wondering how to flirt on a first date without feeling uncomfortable, you’re not alone. Everyone has their awkward moments, but the more you understand the art of flirting, the easier it becomes. In this article, we’ll break down how to flirt in a way that feels natural, exciting, and authentic to who you are. So, let's dive in and learn how to make the most of your first date experience—without overthinking it.
When it comes to flirting, confidence is key. But what does it really mean to be confident on a first date? Confidence doesn’t mean you need to be perfect, or even outgoing—it simply means being comfortable in your own skin and showing up as your authentic self.
Have you ever noticed how people are drawn to those who radiate self-assurance? It’s not about bragging or dominating the conversation—it’s about presenting yourself with ease. If you feel good about yourself, it will naturally show. A great smile, good posture, and eye contact can go a long way in making a good first impression.
For instance, think about the last time someone walked into a room and immediately caught your attention—not because they were the most attractive person in the room, but because of their energy. They were confident, they were present, and they made you feel at ease. That’s the kind of confidence you want to project on your date.
When you're confident, you're not worried about saying the perfect thing. Instead, you focus on enjoying the moment, making the other person feel comfortable, and letting the connection happen naturally. That’s the magic of confidence—it allows you to be present, fun, and, most importantly, yourself.
Let’s face it—no one wants to feel like they’re being “worked” or put through a game. That’s why subtlety is such a powerful tool when it comes to flirting. It's all about showing interest without being over-the-top or too obvious.
Flirting doesn’t always mean complimenting someone non-stop or using cheesy pickup lines. In fact, the most successful flirting is the kind that happens behind the scenes—subtle, playful, and lighthearted. Think about the little moments, like a teasing comment about how they always order the same thing at a restaurant or the way you laugh at a silly joke they make.
The key is to find a balance. A simple smile or a playful comment can convey interest without being too much. For example, if your date tells you they love hiking but they tend to get lost easily, you could say something like, “So, you’re telling me you need a personal guide? I could get behind that!” It’s lighthearted, humorous, and most importantly, it keeps the conversation fun without putting too much pressure on the situation.
By keeping it subtle, you allow your date to feel at ease. It takes the pressure off them to be perfect and allows both of you to enjoy the interaction more naturally. Flirting doesn’t need to be a performance—it’s about creating an environment where both of you can feel comfortable and authentic.
Now, let’s talk about something incredibly important in the flirting game: active listening. When we’re on a date, we often get caught up in thinking about what to say next, how we’re coming across, or if we’re being interesting enough. But the best way to make an impression? Truly listening to your date.
Active listening means you’re fully engaged in the conversation, giving your date your full attention and responding thoughtfully. It’s about showing that you care about what they’re saying and that you’re genuinely interested in getting to know them better. When you listen actively, you’re also giving them space to open up, and that can create an immediate connection.
For example, if your date mentions they recently traveled to Japan, instead of simply saying, “That’s cool!” you could follow up with something like, “What was the most memorable experience you had there?” This shows that you’re not just hearing their words but are genuinely curious and invested in their experiences. It’s a great way to build rapport and let them know you’re not just there to impress them—you’re there to connect.
While your words are important, body language often speaks louder than anything you can say. Whether you realize it or not, your body is constantly communicating how you feel. How you sit, stand, and move tells your date whether you’re relaxed, engaged, or distracted.
Small gestures can go a long way in flirting. A light touch on the arm, a subtle lean in when they’re speaking, or maintaining good eye contact—all these body language cues help signal your interest. And the great thing is, when done naturally, these cues can be just as effective as words.
For example, if you’re sitting at a café on your date and you lean in slightly when they’re sharing a funny story, you’re not just showing that you’re interested—you’re inviting them into your space. It’s an invitation to connect further. And when they respond by leaning in too, that’s when the magic happens—the unspoken connection that tells you both that there’s potential for more.
Flirting through body language doesn’t mean making grand gestures or being overly touchy. It’s about being present and showing that you’re engaged with your date in a subtle, but meaningful way.
It’s easy to get caught up in overthinking how to flirt or trying to figure out if your date is into you. But here’s a secret—when you let go of the pressure and allow yourself to have fun, everything flows much more naturally. Flirting on a first date doesn’t need to feel like a test or an assignment. It’s supposed to be a fun, lighthearted experience that sets the stage for more great dates ahead.
When was the last time you had a genuinely fun date? Was it when you were trying too hard to impress, or when you were both laughing, chatting, and enjoying each other's company? Flirting becomes effortless when you're present, enjoying the moment, and letting the connection grow naturally.
Sometimes, it's the small moments—like sharing a laugh or swapping embarrassing stories—that make a first date truly special. When you focus on having fun, you create an environment where both of you can relax, flirt, and let the chemistry grow. That’s the secret to a great date.
One of the best things about using a platform like MixerDates is that it takes the guesswork out of the equation. By connecting with someone who already shares your interests and values, you’ve got a head start on making a real connection. No more swiping through countless profiles hoping for a spark—on MixerDates, you already know there’s something in common.
When you’re already on the same page with your date, flirting comes more easily. There’s less of that awkward, “Are we even on the same wavelength?” feeling, and more of the fun, “Wow, we really click!” vibe. Whether you’re talking about favorite hobbies, movies, or life goals, the conversation flows naturally, making the flirting feel effortless.
If you're looking for a place to meet like-minded people and build genuine connections, MixerDates is the perfect platform. It's a great place to find someone who appreciates you for who you are and who you can naturally flirt with, without the stress.
Flirting on a first date is all about confidence, connection, and fun. When you let go of the pressure and focus on enjoying the experience, the chemistry will naturally follow. Remember, the best way to flirt is by being yourself—let your personality shine through, listen with intention, and embrace the moment.
And if you’re ready to meet someone new, who’s just as interested in making a connection as you are, MixerDates is the perfect place to start. So go ahead, take the leap, and see where it leads. Who knows? Your next great connection might be just a click away.
Sign up for MixerDates today and start your journey to exciting first dates and meaningful connections!
例えば、
https://github.com/timdetering/Wintellect.PowerCollections/tree/master
License.txt
4. COMMERCIAL DISTRIBUTION
Commercial distributors of software may accept certain responsibilities with respect to end users, business partners and the like. While this license is intended to facilitate the commercial use of the Program, the Contributor who includes the Program in a commercial product offering should do so in a manner which does not create potential liability for other Contributors. Therefore, if a Contributor includes the Program in a commercial product offering, such Contributor ("Commercial Contributor") hereby agrees to defend and indemnify every other Contributor ("Indemnified Contributor") against any losses, damages and costs (collectively "Losses") arising from claims, lawsuits and other legal actions brought by a third party against the Indemnified Contributor to the extent caused by the acts or omissions of such Commercial Contributor in connection with its distribution of the Program in a commercial product offering. The obligations in this section do not apply to any claims or Losses relating to any actual or alleged intellectual property infringement. In order to qualify, an Indemnified Contributor must: a) promptly notify the Commercial Contributor in writing of such claim, and b) allow the Commercial Contributor to control, and cooperate with the Commercial Contributor in, the defense and any related settlement negotiations. The Indemnified Contributor may participate in any such claim at its own expense.
For example, a Contributor might include the Program in a commercial product offering, Product X. That Contributor is then a Commercial Contributor. If that Commercial Contributor then makes performance claims, or offers warranties related to Product X, those performance claims and warranties are such Commercial Contributor's responsibility alone. Under this section, the Commercial Contributor would have to defend claims against the other Contributors related to those performance claims and warranties, and if a court requires any other Contributor to pay any damages as a result, the Commercial Contributor must pay those damages.
要約すると裁判でここの作者が損害賠償を命じられそうになった場合、商用ソフトの提供元は裁判に協力しないといけないし、求償請求にも応じないといけないとある。
Please consider the histroy of humanity from biological perpsecitve and current known fact in nearby universe, which expo-planet (from the Sol system perspective) is most likely to have civlizaed society? Please add percentage next to it in the chart
ChatGPT
Reasoned about exoplanet civilization likelihoodを28 秒行う
Evaluating planetary prospects
OK, I’m looking at the likelihood of a civilized society on an exoplanet within our Solar System. I’ll consider biological history and current space knowledge, aiming to identify the most promising candidate.
Identifying potential candidates
I'm considering exoplanets like Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from our Solar System.
Assessing potential candidates
I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIST-1, focusing on their habitable zones and available data. The Drake equation might help estimate their civilized society likelihoods.
Identifying promising exoplanets
I’m noting key exoplanets like Proxima Centauri b and TRAPPIST-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candidates for advanced civilizations.
I'm gathering info on planets like Proxima Centauri b and TRAPPIST-1, considering factors like magnetic fields, atmospheres, and proximity to G-type stars for their potential to support advanced civilizations.
Evaluating exoplanet prospects
I'm noting that Proxima Centauri b, despite being close and around a red dwarf star, might support life if it has a magnetic field and atmosphere. This makes me think about its potential.
Charting probabilities
I'm estimating civilization probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.
I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.
Identifying exoplanet contenders
I’m evaluating exoplanets like Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering their star types and distances, to gauge their potential for supporting advanced civilizations from our solar system's viewpoint.
Weighing proximity and observation
I'm leaning towards Proxima Centauri b due to its closeness and observational potential, despite concerns about its flare star dynamics. TRAPPIST-1 e, f, or g are also worth considering.
I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, and K2-18b, aiming to chart their likelihood of hosting a civilized society based on current knowledge.
Assessing exoplanet potentials
I'm gathering speculative probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilized society.
Refining speculative probabilities
I’m refining speculative probabilities for exoplanets, including Proxima Centauri b and TRAPPIST-1 e/f/g, to estimate their chances of hosting a civilized society, considering Earth's long biological history.
Refining odds
I'm considering the astronomical timeline for intelligent life on Earth, leading me to assign even lower speculative odds for exoplanets like Proxima Centauri b and TRAPPIST-1 e.
I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.
I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.
Crafting a chart
I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.
Integrating speculative analysis
I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complexity and simplifying for an 8-year-old's understanding.
I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.
Piecing together speculative odds
I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and adding a disclaimer about the speculative nature and lack of evidence.
Piecing together
I’m leaning towards Proxima Centauri b for its proximity and silent star, but I’ll add a speculative chart ranking nearby exoplanets, noting their advanced civilizations' hypothetical likelihood.
Assessing civilization probabilities
I'm emphasizing the slow emergence of intelligent life on Earth, which suggests that the odds of any habitable planet developing a complex civilization might be as low as a few percent.
Below is a very speculative chart that—based on what we know about Earth’s long, winding path from simple life to a “civilized society” and our limited observations of nearby exoplanets—gives some fun, made‑up percentage chances for a few of our best candidate exoplanets. Remember: Scientists have not yet found any proof of life (let alone advanced civilizations) on any exoplanet. These numbers are just playful estimates to help you think about the ideas!
Speculative Chances of Finding an Advanced Civilization on Nearby Exoplanets
Exoplanet Estimated Likelihood of a Civilized Society
Proxima Centauri b ~2%
LHS 1140 b ~0.5%
How Did We (Very Roughly) Guess These Numbers?
Earth’s Example:
On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.
Proxima Centauri b:
This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candidates. That’s why we give it a slightly higher guess (~2%).
These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.
LHS 1140 b:
This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.
All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.
Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!
あなた:
Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use
ChatGPT
Reasoned about the Drake Equationを6 秒行う
re-examining the Drake Equation
evaluating the Drake Equation's value
OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.
Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its criticism to conclude on its reliability as an accurate predictive model.
Understanding the Drake Equation
I’m mapping out the Drake Equation as a conceptual guide, detailing its parameters, which are often based on estimates or opinions, to evaluate its reliability for predicting extraterrestrial civilizations.
The Drake Equation is a famous formula that was created to help scientists think about the many factors involved in estimating the number of detectable extraterrestrial civilizations in our galaxy. However, when we look at the equation closely, we see that it is more of a conceptual framework or heuristic tool than a precise, predictive formula. Let’s break down why:
The equation is usually written as:
𝑁
=
𝑅
∗
×
𝑓
𝑝
×
𝑛
𝑒
×
𝑓
𝑙
×
𝑓
𝑖
×
𝑓
𝑐
×
𝐿
N=R
∗
×f
p
×n
e
×f
l
×f
i
×f
c
×L
Where:
𝑅
∗
R
∗
: The average rate of star formation per year in our galaxy.
𝑓
𝑝
f
p
: The fraction of those stars that have planetary systems.
𝑛
𝑒
n
e
: The average number of planets that could potentially support life per star with planets.
𝑓
𝑙
f
l
: The fraction of those planets where life actually develops.
𝑓
𝑖
f
i
: The fraction of planets with life where intelligent life evolves.
𝑓
𝑐
f
c
: The fraction of civilizations that develop technology that releases detectable signals into space.
𝐿
L: The length of time such civilizations release detectable signals.
Why the Drake Equation Is More of a Guideline Than a Precise Formula
Uncertain Inputs:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction of stars with planets), have become better known through modern astronomy.
The parameters related to the development of life and intelligence—
𝑓
𝑙
f
l
,
𝑓
𝑖
f
i
,
𝑓
𝑐
f
c
, and
𝐿
L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a statistically robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.
Wide Ranges of Possible Values:
Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for
𝑁
N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.
The Drake Equation was never meant to provide a precise answer. Instead, it serves as a way to organize our thinking about what conditions might be necessary for the development of extraterrestrial civilizations. It encourages discussion about the relative importance of different factors and highlights where our scientific knowledge is limited.
Is the Drake Equation Accurate or More Opinion-Based?
Accurate?
In the sense of being a strict mathematical model with well-defined inputs and predictable outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.
Many of the terms in the equation, especially those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.
The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of the number of extraterrestrial civilizations.
In summary, while the Drake Equation is useful for thinking about the various factors that might lead to the emergence of a civilization, its outputs should be taken as highly speculative estimates rather than precise measurements.
あなた:
Please also consider the possiblities of non-human intelligent emrgencing from the long history of Sol system and nearby planets and see if there is any possiblites that in one time intelligent life emerged in nearby planets and see this to the equation
ChatGPT
Reasoned about non-human intelligence and the Drake Equationを19 秒行う
Evaluating non-human intelligence
I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.
Piecing together possibilities
I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.
It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.
Considering other realms
I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the predictions of the Drake Equation.
Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.
I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.
Please consider the histroy of humanity from biological perpsecitve and current known fact in nearby universe, which expo-planet (from the Sol system perspective) is most likely to have civlizaed society? Please add percentage next to it in the chart
ChatGPT
Reasoned about exoplanet civilization likelihoodを28 秒行う
Evaluating planetary prospects
OK, I’m looking at the likelihood of a civilized society on an exoplanet within our Solar System. I’ll consider biological history and current space knowledge, aiming to identify the most promising candidate.
Identifying potential candidates
I'm considering exoplanets like Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from our Solar System.
Assessing potential candidates
I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIST-1, focusing on their habitable zones and available data. The Drake equation might help estimate their civilized society likelihoods.
Identifying promising exoplanets
I’m noting key exoplanets like Proxima Centauri b and TRAPPIST-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candidates for advanced civilizations.
I'm gathering info on planets like Proxima Centauri b and TRAPPIST-1, considering factors like magnetic fields, atmospheres, and proximity to G-type stars for their potential to support advanced civilizations.
Evaluating exoplanet prospects
I'm noting that Proxima Centauri b, despite being close and around a red dwarf star, might support life if it has a magnetic field and atmosphere. This makes me think about its potential.
Charting probabilities
I'm estimating civilization probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.
I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.
Identifying exoplanet contenders
I’m evaluating exoplanets like Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering their star types and distances, to gauge their potential for supporting advanced civilizations from our solar system's viewpoint.
Weighing proximity and observation
I'm leaning towards Proxima Centauri b due to its closeness and observational potential, despite concerns about its flare star dynamics. TRAPPIST-1 e, f, or g are also worth considering.
I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, and K2-18b, aiming to chart their likelihood of hosting a civilized society based on current knowledge.
Assessing exoplanet potentials
I'm gathering speculative probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilized society.
Refining speculative probabilities
I’m refining speculative probabilities for exoplanets, including Proxima Centauri b and TRAPPIST-1 e/f/g, to estimate their chances of hosting a civilized society, considering Earth's long biological history.
Refining odds
I'm considering the astronomical timeline for intelligent life on Earth, leading me to assign even lower speculative odds for exoplanets like Proxima Centauri b and TRAPPIST-1 e.
I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.
I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.
Crafting a chart
I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.
Integrating speculative analysis
I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complexity and simplifying for an 8-year-old's understanding.
I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.
Piecing together speculative odds
I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and adding a disclaimer about the speculative nature and lack of evidence.
Piecing together
I’m leaning towards Proxima Centauri b for its proximity and silent star, but I’ll add a speculative chart ranking nearby exoplanets, noting their advanced civilizations' hypothetical likelihood.
Assessing civilization probabilities
I'm emphasizing the slow emergence of intelligent life on Earth, which suggests that the odds of any habitable planet developing a complex civilization might be as low as a few percent.
Below is a very speculative chart that—based on what we know about Earth’s long, winding path from simple life to a “civilized society” and our limited observations of nearby exoplanets—gives some fun, made‑up percentage chances for a few of our best candidate exoplanets. Remember: Scientists have not yet found any proof of life (let alone advanced civilizations) on any exoplanet. These numbers are just playful estimates to help you think about the ideas!
Speculative Chances of Finding an Advanced Civilization on Nearby Exoplanets
Exoplanet Estimated Likelihood of a Civilized Society
Proxima Centauri b ~2%
LHS 1140 b ~0.5%
How Did We (Very Roughly) Guess These Numbers?
Earth’s Example:
On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.
Proxima Centauri b:
This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candidates. That’s why we give it a slightly higher guess (~2%).
These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.
LHS 1140 b:
This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.
All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.
Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!
あなた:
Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use
ChatGPT
Reasoned about the Drake Equationを6 秒行う
re-examining the Drake Equation
evaluating the Drake Equation's value
OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.
Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its criticism to conclude on its reliability as an accurate predictive model.
Understanding the Drake Equation
I’m mapping out the Drake Equation as a conceptual guide, detailing its parameters, which are often based on estimates or opinions, to evaluate its reliability for predicting extraterrestrial civilizations.
The Drake Equation is a famous formula that was created to help scientists think about the many factors involved in estimating the number of detectable extraterrestrial civilizations in our galaxy. However, when we look at the equation closely, we see that it is more of a conceptual framework or heuristic tool than a precise, predictive formula. Let’s break down why:
The equation is usually written as:
𝑁
=
𝑅
∗
×
𝑓
𝑝
×
𝑛
𝑒
×
𝑓
𝑙
×
𝑓
𝑖
×
𝑓
𝑐
×
𝐿
N=R
∗
×f
p
×n
e
×f
l
×f
i
×f
c
×L
Where:
𝑅
∗
R
∗
: The average rate of star formation per year in our galaxy.
𝑓
𝑝
f
p
: The fraction of those stars that have planetary systems.
𝑛
𝑒
n
e
: The average number of planets that could potentially support life per star with planets.
𝑓
𝑙
f
l
: The fraction of those planets where life actually develops.
𝑓
𝑖
f
i
: The fraction of planets with life where intelligent life evolves.
𝑓
𝑐
f
c
: The fraction of civilizations that develop technology that releases detectable signals into space.
𝐿
L: The length of time such civilizations release detectable signals.
Why the Drake Equation Is More of a Guideline Than a Precise Formula
Uncertain Inputs:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction of stars with planets), have become better known through modern astronomy.
The parameters related to the development of life and intelligence—
𝑓
𝑙
f
l
,
𝑓
𝑖
f
i
,
𝑓
𝑐
f
c
, and
𝐿
L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a statistically robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.
Wide Ranges of Possible Values:
Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for
𝑁
N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.
The Drake Equation was never meant to provide a precise answer. Instead, it serves as a way to organize our thinking about what conditions might be necessary for the development of extraterrestrial civilizations. It encourages discussion about the relative importance of different factors and highlights where our scientific knowledge is limited.
Is the Drake Equation Accurate or More Opinion-Based?
Accurate?
In the sense of being a strict mathematical model with well-defined inputs and predictable outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.
Many of the terms in the equation, especially those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.
The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of the number of extraterrestrial civilizations.
In summary, while the Drake Equation is useful for thinking about the various factors that might lead to the emergence of a civilization, its outputs should be taken as highly speculative estimates rather than precise measurements.
あなた:
Please also consider the possiblities of non-human intelligent emrgencing from the long history of Sol system and nearby planets and see if there is any possiblites that in one time intelligent life emerged in nearby planets and see this to the equation
ChatGPT
Reasoned about non-human intelligence and the Drake Equationを19 秒行う
Evaluating non-human intelligence
I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.
Piecing together possibilities
I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.
It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.
Considering other realms
I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the predictions of the Drake Equation.
Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.
I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.
BLEACHやエヴァンゲリオンの主題歌って言われても別に通じるでしょコレ
何も知らない人にここ最近のアニメ２００本のキービジュアルとこの曲を渡してどれか当てて欲しいと言ったら正答率はあんま高くないんじゃない？
一方、ねぐせ。の「アタシのドレス」はもうこれはメダリストしかないなって感じる。
こっちだったら知らない人でも半分ぐらい当ててくるんじゃないか？
てういかさ、「弓と矢」っていうコンセプト自体が「手を放す」に意識が向かいされすぎていて色々見当違いに思うんだよね。
矢って結局は正しく飛ぶかどうかは射手が決めるものじゃん？
でもこの作品では何度も「祈りさんが自分で決める」って語られてるわけでしょ？
司先生はそのへんめっちゃ弁えているっていうか、補助に徹する意志が凄く強いんだよね。
人生二人分を載せて飛び立たせようとしてるけど、的を選ぶのも弓を引き絞るのも祈りさんがやることで、それをひたすらに手助けするだけ。
矢が望んだ方向に飛べるように、必死に弦を引き絞ってでも目指したかった場所にたどり着けるように、向かい風の中で自分を見失わないように、その軌跡を支えることに徹しているわけじゃん。
それを「弓」と表現するのはやっぱ間違っていると思う。
じゃあ何なら良かったのかだって？
Programming proficiency necessitates a comprehensive understanding of multifaceted concepts, paradigms, and philosophies that underpin the art and science of software development. The Unix philosophy, with its emphasis on modularity, simplicity, and composability, serves as a foundational ethos for elegant code design. This philosophy advocates for creating small, focused programs that excel at singular tasks, facilitating the construction of complex systems through the judicious composition of these atomic units.
Proficient programmers must possess an encyclopedic knowledge of algorithms and data structures, enabling them to architect solutions with optimal time and space complexity. This encompasses a deep understanding of sorting algorithms (e.g., quicksort, mergesort), searching techniques (binary search, depth-first search), and advanced data structures (red-black trees, B-trees, Fibonacci heaps) The ability to analyze algorithmic efficiency using Big O notation is paramount for creating scalable solutions.
OOP principles—encapsulation, inheritance, and polymorphism—form the bedrock of modern software architecture. Mastery of design patterns (e.g., Singleton, Factory, Observer) and SOLID principles is crucial for creating maintainable and extensible codebases.
The FP paradigm, with its emphasis on immutability and pure functions, offers a powerful approach to managing complexity and facilitating parallel execution. Proficiency in higher-order functions, currying, and monads is essential for leveraging FP's full potential.
Expertise in language-specific advanced features, such as C++'s template metaprogramming or Python's metaclasses, allows for the creation of highly generic and reusable code. Understanding compiler theory and the ability to write domain-specific languages (DSLs) further expands a programmer's capabilities.
In an era of multi-core processors and distributed systems, mastery of concurrent programming models (e.g., actor model, communicating sequential processes) and parallel algorithms is indispensable. This includes proficiency in lock-free data structures, memory models, and synchronization primitives.
A deep understanding of computer architecture, operating systems, and memory management enables the creation of highly optimized, low-level code. This encompasses knowledge of cache coherence protocols, CPU pipeline optimization, and assembly language programming.
In an increasingly interconnected world, a thorough grasp of cryptographic principles, secure coding practices, and common attack vectors (e.g., buffer overflows, SQL injection) is crucial for developing robust and secure systems.
Proficiency in distributed version control systems (e.g., Git) and collaborative development practices (code reviews, continuous integration) is essential for effective team-based software development.
Advanced testing methodologies, including property-based testing, fuzzing, and formal verification techniques, are indispensable for ensuring software reliability and correctness.
In conclusion, the pantheon of programming knowledge extends far beyond mere syntax mastery. It encompasses a rich tapestry of theoretical concepts, practical skills, and philosophical approaches that, when harmoniously integrated, enable the creation of elegant, efficient, and robust software systems. The relentless pursuit of this multifaceted expertise is the hallmark of a truly accomplished programmer.
In the labyrinthine realm of digital content dissemination, an enigmatic phenomenon has surfaced, challenging our axioms regarding the nexus between content ubiquity and viewer cognitive acumen. This disquisition endeavors to elucidate the paradoxical inverse correlation between video viewership metrics and the intellectual quotient of the audience, propounding that audiovisual content amassing prodigious view counts tends to captivate viewers with a mean Intelligence Quotient (IQ) of 100, while their more esoteric counterparts allure a demographic boasting an average IQ of 120.
To fathom this counterintuitive paradigm, one must first grapple with the multifarious nature of human cognition and the intricate interplay between intellectual capacity and media predilections. This hypothesis, positing an inverse relationship between a video's popularity and the mean IQ of its viewership, necessitates a rigorous examination of the underlying psycho-sociological and neurocognitive factors that may engender such a paradoxical outcome.
The application of Cognitive Load Theory to media consumption habits provides a plausible explication for this phenomenon. Videos achieving viral status often employ reductionist narratives and readily assimilable information, minimizing cognitive strain. Conversely, less ubiquitous videos may delve into more abstruse subject matter, demanding heightened cognitive engagement and a more sophisticated intellectual framework for comprehensive assimilation.
The pervasive influence of recommendation algorithms in content distribution platforms cannot be discounted in this analysis. These algorithmic arbiters, designed to maximize user engagement, may inadvertently engender epistemic bubbles that reinforce existing cognitive predispositions. Individuals with superior IQs may actively seek out more intellectually challenging or esoteric content, thereby circumventing the algorithmic propensity towards homogenization and cognitive stasis.
It is imperative to consider the socioeconomic dimensions that may influence both IQ development and media consumption patterns. Higher IQ individuals often correlate with elevated socioeconomic status, potentially affording them greater access to diverse epistemological resources and fostering a predilection for more intellectually stimulating content. This demographic may be less susceptible to the allure of mainstream, highly-viewed videos that cater to a broader, less discerning audience.
The ramifications of this inverse relationship between viewership and viewer IQ are profound for content creators and platform developers alike. It challenges the prevailing paradigm that equates popularity with quality or intellectual value. Content creators targeting a more intellectually discerning audience may need to recalibrate their expectations regarding view counts and engagement metrics, focusing instead on cultivating a dedicated niche audience that values cognitive stimulation over mass appeal.
In summation, the observed dichotomy between high-viewership videos attracting an audience with an average IQ of 100 and their less popular counterparts appealing to viewers with a mean IQ of 120 underscores the complex relationship between intellectual capacity and media consumption in the digital age. This phenomenon necessitates a reevaluation of how we measure content value and success in the online sphere, prompting a more nuanced approach to content creation, curation, and consumption that acknowledges the diverse cognitive needs of the audience spectrum. The implications of this paradigm shift extend far beyond mere metrics, touching upon fundamental questions of epistemology, cognitive diversity, and the very nature of intellectual engagement in the digital era.
The assertion that English constitutes a "hostile language" is emblematic of a profound misunderstanding of the intricate relationship between language, culture, and communication. Such a reductionist viewpoint, often stemming from cultural insularity or an oversimplified interpretation of global dynamics, fails to recognize the multifaceted and adaptive nature of language as a vehicle for connection rather than division.
Language, in its most fundamental form, serves as a sophisticated instrument for human expression and interaction. It encapsulates the complexities of thought, emotion, and cultural nuance. To label English as "hostile" is to overlook its role as a global lingua franca that facilitates dialogue among diverse cultures. This designation not only undermines the rich tapestry of English-speaking societies but also dismisses the language's capacity for evolution and adaptation, reflecting the very societies it serves.
Critics often conflate the global dominance of English with cultural imperialism, positing that its prevalence signifies an erosion of local languages and cultures. However, this perspective neglects the agency of non-native speakers who actively adopt and adapt English to meet their communicative needs. The expansion of English is not merely an imposition; it is a testament to its utility and flexibility in diverse contexts. By embracing English, individuals from various linguistic backgrounds enhance their communicative repertoire without relinquishing their cultural identities.
To characterize English as "hostile" implies an intrinsic aggression or antagonism within the language itself—a notion that is fundamentally flawed. Hostility is not an inherent characteristic of language but rather a reflection of the sociopolitical contexts in which it is employed. The potential for misunderstanding or conflict arises not from the linguistic medium but from the intentions and attitudes of its speakers. Thus, vilifying English misplaces responsibility for interpersonal and intercultural tensions that are often rooted in broader societal issues.
In an increasingly interconnected world, English functions as a crucial bridge across cultural divides. It enables collaboration in vital fields such as science, technology, diplomacy, and commerce, fostering innovation and mutual understanding. Proficiency in English can empower individuals and communities by providing access to resources and opportunities that might otherwise remain elusive. This empowerment challenges the notion of hostility; instead, it highlights the language's role as an enabler of progress and cooperation.
In conclusion, the characterization of English as a "hostile language" represents a reductive oversimplification that fails to capture the complexities inherent in linguistic interaction within our globalized society. Rather than viewing languages through a lens of hostility or division, we should embrace their potential for fostering understanding and collaboration. It is imperative to cultivate a more nuanced appreciation for the role of English—and indeed all languages—in shaping our shared human experience. Only through such intellectual rigor can we transcend divisive narratives and celebrate the rich diversity that language offers in our interconnected world.
The Hatena Anonymous Diary, while undeniably a distinctive fixture within the tapestry of Japanese internet culture, has garnered substantial criticism for its content and the implications of its operational framework. This discourse aims to elucidate the reasons underpinning its characterization as "problematic."
At the crux of the Hatena Anonymous Diary's appeal lies its hallmark feature: anonymity. This veil of secrecy ostensibly facilitates unrestrained discourse, allowing individuals to articulate their thoughts without fear of retribution. However, this very anonymity engenders a paradoxical effect; it cultivates an environment ripe for irresponsible commentary and vitriolic defamation. The absence of accountability diminishes the sense of responsibility that typically accompanies public expression, resulting in a proliferation of emotionally charged diatribes and baseless assertions. Such dynamics render the establishment of constructive dialogue increasingly elusive, thereby stifling meaningful engagement.
Moreover, the content disseminated through the Hatena Anonymous Diary frequently exhibits a disconcerting superficiality. Many entries lack substantive depth, failing to provide rigorous analysis or innovative perspectives. Instead, they often succumb to the allure of trending topics or sensationalism, prioritizing ephemeral relevance over intellectual rigor. This trend not only undermines the potential for serious discourse but also contributes to a culture where shallow engagement with complex issues prevails. In an era marked by information saturation, this deficiency in content quality is particularly egregious, as it detracts from the cultivation of critical thinking and informed debate.
Additionally, the cultural ramifications of this platform warrant scrutiny. By amplifying certain dominant narratives or viewpoints, there exists a palpable risk of eroding diversity within public discourse. The emergence of "groupthink" within specific communities can lead to the marginalization of dissenting voices, creating an echo chamber that stifles pluralism. In such an insular environment, diverse perspectives are systematically excluded, resulting in a homogenized narrative that fails to reflect the complexities of societal discourse. This phenomenon not only undermines individual expression but also poses significant risks to the overall health of democratic dialogue.
In conclusion, while the Hatena Anonymous Diary ostensibly champions free expression through its anonymous framework, it simultaneously fosters a milieu characterized by irresponsibility and superficiality. The cultural influence wielded by this platform raises critical concerns regarding its impact on diversity and social responsibility. Thus, characterizing it as "problematic" is not merely an exaggeration; it is an imperative recognition of its shortcomings. Moving forward, it is essential to scrutinize how this platform might evolve and address these inherent flaws in order to foster a more enriching and responsible discourse.
American Airlines is relaxing part of its pet policy to let owners bring their animal companion {+𝟭 (𝟴𝟱𝟲) 246-𝟱𝟰𝟰𝟰} and a full-size carry-on bag into the cabin. People who carried a pet into the cabin, which involves paying a $150 fee {+𝟭 (𝟴𝟱𝟲) 246-𝟱𝟰𝟰𝟰}, could only have one other small item that fit under the seat. Anything bigger like a carry-on bag with wheels, needed to be checked for a $35 fee. Or they could put the pet in the cargo hold. What is the new American pet policy? a regular carry-on bag or a personal item {+𝟭 (𝟴𝟱𝟲) 246-𝟱𝟰𝟰𝟰} — just not both bags. The old policy struck some pet owners as unfair, since they were already
https://www.devex.com/people/aa-pet-info-how-much-does-american-airlines-charge-for-a-pet-2479874
https://www.devex.com/people/how-much-pet-fee-american-airlines-fee-to-fly-with-your-animals-2479862
https://www.repository.cam.ac.uk/items/528f479f-fd3c-43fd-9463-7c2923560573
ある人の嗅覚倫理に関する論文だけど、文献だけで匂いが影響を与えると書いてるから女性に学位を与えるのは無駄だと言われる。
論文書くなら、裁判官にセンサーを取り付けるなり、何人かの被験者にルールを守った上で反応を調べるとかやりようはあったはず。
アタリマエのことを調べるというのは裁判での証拠提出のときに役立つからもっと調べてほしい。
けど、統計学的手法を駆使するなどして、裁判官が9割型認める内容でないと価値がない。
contemporary relevance. I suggest that smell very often invokes identity in a way that signifies an individual’s worth and status in an inarguable manner that short-circuits conscious reflection. This can be accounted for by acknowledging olfaction’s strongly affective nature, which produces such strong bodily sensations and emotions that reflexivity is bypassed in favour of a behavioural or cognitive solution that assuages the intense feeling most immediately. Olfactory disgust, therefore, tends to result in rejection, while harmful forms of olfactory desire may result in sublimation or subjugation. My thesis is particularly attentive to tensions and ambivalences that complicate the typically bifurcated affective spectrum of olfactory experiences, drawing attention to (dis)pleasurable olfactory relations that have socio-political utility. I argue that literary fiction is not only an arena in which olfactory logics can be instantiated, but also a laboratory in which possibilities for new kinds of relations and connections can be fostered and tested. Chapter One explores how smell can be used to indicate class antipathies, partly as they relate to homelessness, beginning with George Orwell’s seminal non-fiction text, The Road to Wigan Pier (1936), before considering Iain Sinclair’s The Last London (2017) and Bong Joon Ho’s Parasite (2019). In Chapter Two I explore the fantastical, idealistic, and utopic thinking that surrounds olfaction, which presents smell as fundamentally non-human, by addressing J. M. Coetzee’s Disgrace (1999), Virginia Woolf’s Flush (1933), Rachel Yoder’s Nightbitch (2021), and Laura Jean McKay’s The Animals in That Country (2020). Chapter Three focuses on the intersectional olfactory dimensions of ‘misogynoir’—the coextensive anti-Black racism and misogyny that Black women experience—and considers Toni Morrison’s Tar Baby (1981), Bernice McFadden’s Sugar (2000) and Raven Leilani’s Luster (2020). In Chapter Four, I conceptualise an oppressive olfactory logic, which is used against women and girls in order to legitimise their harassment or abuse, drawing primarily on Vladimir Nabokov’s Lolita (1955), but also Patrick Süskind’s Perfume (1985). Chapter Five discusses two forms of olfactory desire—perversion and queerness—which have separate moral valences. I address J. M. Coetzee’s The Master of Petersburg (1994), Ann Quin’s Berg (1964), and Sam Byers’ Come Join Our Disease (2020), and argue for fiction’s role in reorienting readers’ habitual relations to olfaction.
2024-06-25
Java is one of the most widely used programming languages today, powering everything from mobile apps to enterprise-level software solutions. With its simplicity, versatility, and scalability, it is no wonder that many students pursuing computer science, software engineering, or related fields are required to learn Java as part of their curriculum. However, mastering Java programming can be a challenging task, and many students struggle to complete their assignments on time. If you find yourself overwhelmed with Java programming assignments, expert help is available to guide you through the complexities and ensure your academic success.
Java programming assignments often require students to write code that is both efficient and effective, while also ensuring that it is properly structured and debugged. This can be daunting for beginners or those with limited experience. Furthermore, Java involves understanding complex concepts such as object-oriented programming (OOP), algorithms, data structures, and more. With so much to learn and implement, it is easy to feel stuck, especially when deadlines are approaching.
The Importance of Java Programming Skills
Before we dive into the solutions, it's essential to understand why Java programming skills are so important. Java is not only used in academic settings but is also highly valued in the professional world. Its usage spans across industries, from finance to healthcare, and it's one of the most sought-after skills by employers. Java's robust frameworks and tools, such as Spring, Hibernate, and JavaFX, allow developers to create highly functional and secure applications.
For students, mastering Java gives them a competitive edge in the job market. Strong programming skills in Java open up opportunities for internships, freelance work, and permanent roles in software development, app development, and system engineering. Hence, excelling in Java programming assignments will not only help students complete their coursework but also prepare them for future career success.
Why You Need Expert Help with Java Assignments
If you are struggling with Java programming assignments, expert help can make a significant difference. Experts in the field can provide guidance on a variety of aspects, such as understanding key concepts, writing efficient code, and debugging errors. Whether you need help grasping object-oriented principles or implementing complex algorithms, professional programmers can offer tailored solutions to your specific needs.
Java programming assignments require precision and attention to detail, which can sometimes be overwhelming for students. By seeking Java programming assignment help, you can gain insights from professionals who have years of experience and knowledge of the language. They will help you improve your coding skills, and provide tips and best practices for writing cleaner, more maintainable code.
Additionally, experts can assist in optimizing your assignments, ensuring your code runs smoothly and meets all the required specifications. This is particularly important if you're working on a complex assignment with multiple parts, where small errors can lead to bigger issues. With expert assistance, you can avoid common mistakes and submit assignments that meet the highest academic standards.
How to Get Java Programming Assignment Help
Finding the right help for your Java assignments is easy. Many online platforms offer Java programming assignment help services, providing students with access to qualified experts who specialize in Java. These services typically include customized solutions, real-time support, and the option to communicate directly with tutors or assignment helpers.
To get the most out of these services, ensure that you provide clear details about your assignment requirements. This helps the experts understand your needs and deliver accurate solutions. Additionally, using Java programming assignment help allows you to learn the concepts behind your assignments, which will be beneficial in your future courses or professional projects.
In conclusion, mastering Java programming is essential for students pursuing a career in tech. However, the complexity of Java assignments can make it difficult to achieve success on your own. With expert help, you can strengthen your programming skills, overcome challenges, and confidently complete your assignments. Don’t hesitate to seek assistance and ensure that your Java programming journey is a smooth and rewarding one.
Visit here: https://myassignmenthelp.com/programming-help/java-programming-assignment-help.html
Java is one of the most widely used programming languages today, powering everything from mobile apps to enterprise-level software solutions. With its simplicity, versatility, and scalability, it is no wonder that many students pursuing computer science, software engineering, or related fields are required to learn Java as part of their curriculum. However, mastering Java programming can be a challenging task, and many students struggle to complete their assignments on time. If you find yourself overwhelmed with Java programming assignments, expert help is available to guide you through the complexities and ensure your academic success.
Java programming assignments often require students to write code that is both efficient and effective, while also ensuring that it is properly structured and debugged. This can be daunting for beginners or those with limited experience. Furthermore, Java involves understanding complex concepts such as object-oriented programming (OOP), algorithms, data structures, and more. With so much to learn and implement, it is easy to feel stuck, especially when deadlines are approaching.
The Importance of Java Programming Skills
Before we dive into the solutions, it's essential to understand why Java programming skills are so important. Java is not only used in academic settings but is also highly valued in the professional world. Its usage spans across industries, from finance to healthcare, and it's one of the most sought-after skills by employers. Java's robust frameworks and tools, such as Spring, Hibernate, and JavaFX, allow developers to create highly functional and secure applications.
For students, mastering Java gives them a competitive edge in the job market. Strong programming skills in Java open up opportunities for internships, freelance work, and permanent roles in software development, app development, and system engineering. Hence, excelling in Java programming assignments will not only help students complete their coursework but also prepare them for future career success.
Why You Need Expert Help with Java Assignments
If you are struggling with Java programming assignments, expert help can make a significant difference. Experts in the field can provide guidance on a variety of aspects, such as understanding key concepts, writing efficient code, and debugging errors. Whether you need help grasping object-oriented principles or implementing complex algorithms, professional programmers can offer tailored solutions to your specific needs.
Java programming assignments require precision and attention to detail, which can sometimes be overwhelming for students. By seeking Java programming assignment help, you can gain insights from professionals who have years of experience and knowledge of the language. They will help you improve your coding skills, and provide tips and best practices for writing cleaner, more maintainable code.
Additionally, experts can assist in optimizing your assignments, ensuring your code runs smoothly and meets all the required specifications. This is particularly important if you're working on a complex assignment with multiple parts, where small errors can lead to bigger issues. With expert assistance, you can avoid common mistakes and submit assignments that meet the highest academic standards.
How to Get Java Programming Assignment Help
Finding the right help for your Java assignments is easy. Many online platforms offer Java programming assignment help services, providing students with access to qualified experts who specialize in Java. These services typically include customized solutions, real-time support, and the option to communicate directly with tutors or assignment helpers.
To get the most out of these services, ensure that you provide clear details about your assignment requirements. This helps the experts understand your needs and deliver accurate solutions. Additionally, using Java programming assignment help allows you to learn the concepts behind your assignments, which will be beneficial in your future courses or professional projects.
In conclusion, mastering Java programming is essential for students pursuing a career in tech. However, the complexity of Java assignments can make it difficult to achieve success on your own. With expert help, you can strengthen your programming skills, overcome challenges, and confidently complete your assignments. Don’t hesitate to seek assistance and ensure that your Java programming journey is a smooth and rewarding one.
Visit here: https://myassignmenthelp.com/programming-help/java-programming-assignment-help.html
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bit.ly/3wbfA0I
朝3時まで狭いプロジェクトルームで作業して、次の日は6時から7時の間に出勤が当たり前
当時同期で入社した200人近い中途の仲間は誰もこの会社に残っていません
tinyurl.com/zangyou
良くて3時か4時くらい、下手すると6時くらいに終わる
tinyurl.com/gozen3ji
夜中1時、2時まで、朝はなぜか7時集合
同期は全員辞めてると思う
bit.ly/3l05Z86
bit.ly/3yA1mcy
bit.ly/3wHGJHp
三●物●が新社長を発表！私大出身者の社長”ゼロ”の壁は壊せたか？
bit.ly/3i2gSFU
bit.ly/2U7ojOR
帝大６５円 早慶５５円
bit.ly/2ryVtbO
tinyurl.com/idoujikan
深夜3時までは働きます
それでも、翌朝も午前中に会社にこなければいけない
日付変わって帰るとかざら
tinyurl.com/mrx8426y
デスクワーク本当に多い
tinyurl.com/3fpj9jys
朝だいたい6時半ぐらいに起きていました
tinyurl.com/2ccnuxyc
bit.ly/2Gbk4wd
tinyurl.com/nemawasi
bit.ly/3bXmzkn
商社の何が辛いって、
仕事量が多いとか、
飲み会が多いとかではなく、
基本決定権が無い点
商流的に真ん中にいるので
決めるのは、
無論、若手に
社内の決裁権はない
調整、管理、
書き物をひたすらやります
tinyurl.com/kakimono
誰でもできるような仕事を大量に任される
tinyurl.com/y8kw52x2
与えられた仕事を
bit.ly/2uwinCk
自分で大きな決定できるようになるまで、
うまくいっても制度的に
tinyurl.com/nijyuunen
71％のケースにおいて即決で融資を実行
bit.ly/3NbOQUK
銀行員を辞めたい銀行員へ贈る！銀行員を辞めてよかったこと100個！
ノルマを達成するために
よく休日出勤や
夜間営業
１枚巻物は２ｍほどの長さになり、書くのに大体３０分
tinyurl.com/noruma
昼メシは座って食べるな！
夜中3時ぐらいまで仕事するじゃないですか
bit.ly/39aQDuv
朝4時32分
tinyurl.com/ypsdcshz
多分200連勤ぐらいしたりとか
50人いて一人ぐらいしか5年後には残ってない
bit.ly/3wf8rg9
bit.ly/3FyoaLq
銀行員 同期100人いた場合50才で銀行本体残るのは1人の例も
bit.ly/3yt3Eu0
出向
年収は半減
bit.ly/3whuTVY
8時に出社して、21時に退社
9割の取引が、コンピューターによる高速では無い物を含めた自動取引
bit.ly/3N9jKNL
bit.ly/3vHDsc6
bit.ly/3M1sSUd
bit.ly/37y18aV
夜中の2時、3時で
朝7時とかに出社しなきゃいけなかったり
6年目以降は入ってこない？
bit.ly/3krr3SN
他にもスーツ、お節、家電、食料、ケータイ、弁当等、ありとあらゆるものを年中購入させられます
多分歯切れの悪い反応をすると思います
bit.ly/3v3WZ7D
車やスーツを自腹買い
bit.ly/3S30Fis
本社勤務の時には、
土日も出勤
支社や営業所で
朝8時には会社にいる？
忙しいと22時まで残業？
bit.ly/3nwjrS6
tinyurl.com/3774hs3y
tinyurl.com/vfjtpjw4
キャンピングカーワーク
日が昇る前に海へ出かけて早朝から車内で仕事をして、昼前にサーフィン
tinyurl.com/campingcarwork
bit.ly/3wfSrdD
tinyurl.com/ycxak3uz
tinyurl.com/5n8hmhka
dailymotion.com/video/x5jufm0
949日÷365日=生涯通勤は2.6年
tinyurl.com/tsuukinjikan
ストレスは、
機動隊の隊員よりも高く、
ジェットコースターが落下する寸前の２倍以上と試算される」
bit.ly/3ersMdc
年収800万円以上のITエンジニアは95％以上がリモート勤務
ここ数年本当に生活が充実してる
年に約3週間、
生涯では約2.6年の
サバティカル休暇にしよう！
bit.ly/3ap8GtC
tinyurl.com/section-chief
朝の7時前には出勤して夜の12時まで帰してくれない
本当の男女平等を味わう
「意外と長時間労働の会社」実名公開！有名企業50社を総力調査
●●不動産
連日の徹夜勤務
tinyurl.com/zangyojikan
２２５社の３６協定で判明
3代に渡り、
７０年も
tinyurl.com/yrk4342n
報酬が7億8700万円
トップと社員（従業員平均年収647万円）の「年収格差」は122倍
tinyurl.com/2d7vf9ru
社内政治というのは
前者の人の言うことだけを聞いて判断できない
bit.ly/2ruvbHw
bit.ly/38lPel6
非常に嫌われていた
tinyurl.com/kamenronin
推薦・内部組のほうが
なるほどと思った
tinyurl.com/ryuunen
仮面浪人の成績が
フル単か
留年の
二極に分かれる現象
本学の学部全体で最も成績が良い層は
何らかの選択過程を通過した人・物・事のみを基準として判断を行い、
その結果には該当しない人・物・事が見えなくなることである
tinyurl.com/seizonsha-bias
爆撃機の装甲を厚くすべきなのは｢対空砲火を受けた場所｣と｢受けていない場所｣のどちらか?
tinyurl.com/sentaku-bias
常に分母は何かを考えよ
「早稲田政経は、短期間に簡単にAO合格可能なことを正直に暴露した勇気ある著者」
tinyurl.com/hensachi40
私、おバカですが、何か?―
【偏差値40の三流短大卒フリーター、25歳で早大に入学する!】
tinyurl.com/hensachi
tinyurl.com/goukakuline
偏差値も上昇したのです」
tinyurl.com/suisennado
日米の組織には大きな差がなかったのですが、ものすごく大きな差が出たのは
「信賞必罰」
bit.ly/2wyebne
不適切な人事は組織の敗北につながる■勝てない提督や卑怯な司令官をすぐさま更迭した米軍
bit.ly/39EBL2Y
組織には、
全体最適よりも、
優先する乱源が存在する！
信賞必罰！
乱源には、不寛容であらねばならない！
bit.ly/1WOeC4B
寛容のパラドックス
「もし社会が無制限に寛容であるならば、その社会は最終的には不寛容な人々によって寛容性が奪われるか、寛容性は破壊される」
「寛容な社会を維持するためには、寛容な社会は不寛容に不寛容であらねばならない」
tinyurl.com/paradoxoftolerance
内集団ひいき
bit.ly/2wSF71B
自分も相手も互いに同じグループに属していることが周知されているときには、内集団ひいき的な行動が観察されますが、
自分は相手が同じグループであることを知っていても、相手が自分のことを同じグループの一員かどうかわからない状態では、内集団ひいきは観察されなくなります。
Java is one of the most widely used programming languages today, powering everything from mobile apps to enterprise-level software solutions. With its simplicity, versatility, and scalability, it is no wonder that many students pursuing computer science, software engineering, or related fields are required to learn Java as part of their curriculum. However, mastering Java programming can be a challenging task, and many students struggle to complete their assignments on time. If you find yourself overwhelmed with Java programming assignments, expert help is available to guide you through the complexities and ensure your academic success.
Java programming assignments often require students to write code that is both efficient and effective, while also ensuring that it is properly structured and debugged. This can be daunting for beginners or those with limited experience. Furthermore, Java involves understanding complex concepts such as object-oriented programming (OOP), algorithms, data structures, and more. With so much to learn and implement, it is easy to feel stuck, especially when deadlines are approaching.
The Importance of Java Programming Skills
Before we dive into the solutions, it's essential to understand why Java programming skills are so important. Java is not only used in academic settings but is also highly valued in the professional world. Its usage spans across industries, from finance to healthcare, and it's one of the most sought-after skills by employers. Java's robust frameworks and tools, such as Spring, Hibernate, and JavaFX, allow developers to create highly functional and secure applications.
For students, mastering Java gives them a competitive edge in the job market. Strong programming skills in Java open up opportunities for internships, freelance work, and permanent roles in software development, app development, and system engineering. Hence, excelling in Java programming assignments will not only help students complete their coursework but also prepare them for future career success.
Why You Need Expert Help with Java Assignments
If you are struggling with Java programming assignments, expert help can make a significant difference. Experts in the field can provide guidance on a variety of aspects, such as understanding key concepts, writing efficient code, and debugging errors. Whether you need help grasping object-oriented principles or implementing complex algorithms, professional programmers can offer tailored solutions to your specific needs.
Java programming assignments require precision and attention to detail, which can sometimes be overwhelming for students. By seeking Java programming assignment help, you can gain insights from professionals who have years of experience and knowledge of the language. They will help you improve your coding skills, and provide tips and best practices for writing cleaner, more maintainable code.
Additionally, experts can assist in optimizing your assignments, ensuring your code runs smoothly and meets all the required specifications. This is particularly important if you're working on a complex assignment with multiple parts, where small errors can lead to bigger issues. With expert assistance, you can avoid common mistakes and submit assignments that meet the highest academic standards.
How to Get Java Programming Assignment Help
Finding the right help for your Java assignments is easy. Many online platforms offer Java programming assignment help services, providing students with access to qualified experts who specialize in Java. These services typically include customized solutions, real-time support, and the option to communicate directly with tutors or assignment helpers.
To get the most out of these services, ensure that you provide clear details about your assignment requirements. This helps the experts understand your needs and deliver accurate solutions. Additionally, using Java programming assignment help allows you to learn the concepts behind your assignments, which will be beneficial in your future courses or professional projects.
In conclusion, mastering Java programming is essential for students pursuing a career in tech. However, the complexity of Java assignments can make it difficult to achieve success on your own. With expert help, you can strengthen your programming skills, overcome challenges, and confidently complete your assignments. Don’t hesitate to seek assistance and ensure that your Java programming journey is a smooth and rewarding one.
Visit here: https://myassignmenthelp.com/programming-help/java-programming-assignment-help.html
EXCELLENCE AWARDというそうな。
2021～23年の3年間、原神はGRAND AWARD常連だったから殿堂入り枠ってことやな。一応リスト
| EXCELLENCE AWARD（エクセレンスアワード） | ●原神（HoYoverse） | 日本・アジア地域で開発されたソフトウェアメーカー各社様のタイトルにおいて、過去3年間にわたり、安定して大きな影響を与え、商業的な成功を収めたタイトル（※1）に贈られます。 |
| GRAND AWARD（グランドアワード） | ●ELDEN RING SHADOW OF THE ERDTREE（株式会社フロム・ソフトウェア / バンダイナムコエンターテインメント） ●黒神話：悟空（Game Science Interactive Technology） ●FINAL FANTASY VII REBIRTH（株式会社スクウェア・エニックス） | 日本・アジア地域で開発されたソフトウェアメーカー各社様のタイトルにおいて、2023年10月から2024年9月までの期間中に発売され、全世界売上の上位3タイトル（※1）に贈られます。 |
| PARTNER AWARD（パートナーアワード） | ●The First Descendant（Nexon） ●ゼンレスゾーンゼロ（HoYoverse） ●鉄拳8（株式会社バンダイナムコエンターテインメント） ●ドラゴンズドグマ 2（株式会社カプコン） ●ペルソナ３ リロード（株式会社アトラス） ●崩壊：スターレイル（HoYoverse） ●龍が如く８（株式会社セガ） | 日本・アジア地域で開発されたソフトウェアメーカー各社様のタイトルにおいて、2023年10月から2024年9月までの期間中に発売され、世界規模で上位の売上を達成し、特に注目すべき実績を残したタイトル（※1）に贈られます。 |
| SPECIAL AWARD（スペシャルアワード） | ●Stellar Blade（SIE、開発：SHIFT UP） ●Rise of the Ronin（SIE、開発：株式会社コーエーテクモゲームス） | 日本・アジア地域のスタジオにおいて、2023年10月から2024年9月までの期間中に、SIEとの協業によりPS5向けに開発されたタイトル（※1）のうち、注目すべき実績を残したタイトルに贈られます。 |
| USERS’ CHOICE AWARD（ユーザーズチョイスアワード） | ●黒神話：悟空（Game Science Interactive Technology） ●Stellar Blade（SIE、開発：SHIFT UP） ●FINAL FANTASY VII REBIRTH（株式会社スクウェア・エニックス） ●Rise of the Ronin（SIE、開発：株式会社コーエーテクモゲームス） ●龍が如く８（株式会社セガ） | 日本・アジア地域で2023年10月から2024年9月までの期間中に発売され、同期間の総ゲームプレイ時間が多かった上位30タイトルの中から、日本・アジア地域ユーザーの投票によって選ばれた上位5タイトルに贈られます。 |
引用元: https://blog.ja.playstation.com/2024/12/03/20241203-pspawards/
ちゃっかりスタレゼンゼロも優秀賞枠に入ってるしスタレは更に格の高いGolden Joystick Awards 2024のStill Playing Award （Mobile）の方も受賞してるようだ
こういうアワードはまだまだ買い切りAAAタイトルが強い場所ながらF2P運営型の高予算高品質ゲームを見かける割合は今後ますます増えていくだろう
あと中国産AAAの黒神話があらゆるアワードをかっさらってる辺りも含めて単純に中国のゲーム開発者が世界に羽ばたきつつある潮流を感じる
ちなみにこのページで過去のPS Awardsが見れるんだけど https://www.playstation.com/ja-jp/local/events/playstation-awards/history/
96年は鉄拳2、リッジレーサーレボリューション、バイオハザードで、97年がFF7 俺はまさに厨房の頃このへんにハマってた
上記ののカジュアルな文章を書いた人物をプロファイリングしてください
↓
The person who wrote this seems to have a strong understanding of cognitive processes and how they affect communication. They are deeply interested in recognizing the underlying cognitive mechanisms that shape how people perceive and interact with the world, especially when there are discrepancies in shared understanding. Their writing suggests a fascination with the complexity of human cognition, particularly in terms of categorization, perception, and the role of context in communication.
Key traits of this person’s mindset:
1. Analytical and Reflective: They break down situations and statements into their core components, such as recognizing when cognitive discrepancies arise (e.g., the example of “Honey Crisp” being identified as a non-apple or a “rugby ball is not a ball”).
2. Focus on Cognitive Mechanisms: Rather than just attributing communication issues to external factors like knowledge gaps or personality traits, they attribute misunderstandings to the way people process information and perceive the world.
3. Interest in Epistemology: They are interested in the philosophical and conceptual foundations of understanding. The mention of philosophical terms like “essentialism” vs. “constructivism” indicates a desire to explore the nature of categories and definitions at a fundamental level.
4. Sensitivity to Communication: They recognize the importance of context in communication, noting how slight differences in perception can lead to miscommunication. The person appears to be aware of the challenge in aligning cognitive frameworks to resolve disagreements.
5. Empathetic but Pragmatic: While acknowledging that individuals like “D” might not be malicious or intentionally obstructive, they also highlight the immense effort required to engage with individuals whose cognitive frameworks are severely misaligned with shared understanding.
Overall, this person seems to be deeply thoughtful, with a keen interest in the nuances of human cognition and communication. They likely value intellectual clarity and are willing to invest time and effort in clarifying fundamental misunderstandings.
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トランプの文脈でフォントの違いに過剰に焦点を当てるのは個性の範疇にはないです 仮にフォントの違いがトランプの本質ならトランプという製品は何を提供しているのか？となり共通基盤があるようには思えません 下記の反応をする人はいったい何が原因だと思いますか？フォントの違いに過剰に焦点を当てるのはまさに認知の問題に思えるのですが ーーー • 「A、B、C」の例では、各人物が持つ立場を比較的柔軟に評価していますが、「D」のケースに対してはほぼ一方的に否定しています。 • 「フォントの違い」を理由にカードを否定するDの行動を、投稿者は「認知の仕組みに問題がある」と結論付けています。
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「フォントの違いに過剰に焦点を当てる」というDの行動は、確かに一般的な認知の枠組みから外れており、共通基盤を持つ対話を阻む要因と考えられます。このケースでは、Dの認知の仕組みにおける以下のような問題が原因として考えられます。
1. 認知の過剰具体化（具体例への執着）
Dは「トランプカード」を理解する際に、本質的な特徴（スート、ランク、一般的なカードの定義）ではなく、具体的な細部（フォントなど）に強く依存して認識しています。このような認知の偏りは、物事を抽象化する能力が弱く、広い概念や文脈を理解するのが難しい場合に見られます。
2. 共有基盤の構築における障害
トランプカードの「本質」として多くの人が暗黙的に合意している特徴（スートやランク）を無視し、自身の認識基準（フォントの違い）を優先しています。このような認知のズレは、共通基盤を形成する力が弱いために生じると考えられます。
3. 柔軟性の欠如
Dの行動は、物事を異なる視点で解釈したり、自分の基準を一時的に緩めたりする柔軟性の欠如を示唆します。これは、認知の柔軟性や適応力が低いために起こる場合があります。
4. 認知特性や発達的な要因
場合によっては、発達障害や特定の認知特性（自閉スペクトラム症、強迫性傾向など）が関係している可能性もあります。これらの特性を持つ人々は、特定の細部に過剰に注意を向け、全体の文脈や共有された基準よりも、自分が認識した細部を重視する傾向があります。
5. 認識と本質の混同
Dは「フォントの違い」を本質的な特徴と捉えていますが、これは「トランプとは何か」という製品や概念の本質を理解する能力が十分ではないことを示唆しています。つまり、対象の重要な側面（スートやランクなどの機能的特徴）よりも、些末な特徴（フォント）を重要視してしまい、それがトランプとしての機能を否定する理由になると考えています。
Dの反応をどう見るべきか
Dの行動を「認知の問題」と捉えることは合理的です。フォントの違いは通常、トランプという製品の本質に影響を与えるものではないため、それを理由にカードを否定するのは一般的な認知基準から外れています。このズレは、Dが「トランプカードとは何か」という共有されたコンセプトを理解できていない、あるいはその共有基盤に乗ることを困難にしていることを示唆します。
Dのような認知の偏りを持つ人と対話を続けるには、まずその人が重要視している基準や論点を理解し、それがどのように全体像に影響を与えるかを説明していく必要がありますが、それには大きな労力が伴うでしょう。
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