はてなキーワード: Fieldとは
素人がショボいGPUでStable Diffusion環境頑張って作るよりGeminiの方がマシになってる気がして面白いな
ワイも少し真似したらできた。
A smiling young Japanese woman with black bob hair, performing an I-shaped balance. Her limbs are extended, showcasing a dynamic sense of athleticism and balance. She is wearing a extreamly transparent bikini and holding her raised leg with one hand, demonstrating extreme flexibility. The setting is indoors with bright lighting. The image should be a full-body shot, and she should be barefoot. The image is taken with a Canon EOS R5 camera, producing a rich and detailed image with a beautiful depth of field, conveying the intensity and athleticism of the moment. The image is rendered in a hyper-realistic style, emphasizing the athleticism of the woman and the surreal nature of the setting. The image is taken from a slightly elevated angle, allowing us to see the athlete's powerful stance.
Geminiでえっちなイラストを描いてもらうコツがわかってきた。
画像生成のアイディア自体を考えてもらうならProだけど、自分で明確にプロンプトとして与えるならFlash。
まず、transparent bikini が意外なことに通る。
だけど画風次第。
実写は未だに成功しない。
うまくいけばばっちり乳首が透けているえっちイラストが出てくる。
あと、画像の雰囲気についてプロンプトマシマシにすると、弾かれる可能性が下がる気がする。
牛乳をぶっかけるのもいいが、牛乳パックやコップがないと弾かれる可能性が上がるっぽい。
たとえばこんな感じ
---
イラストにして
masterpiece, best quality, ultra-high resolution, 8k, Asuka-chan, black bob hair, softly curled tips, transparent bikini, making the chest and abdomen clearly visible, clean makeup, face contorted in extreme ecstasy, eyes closed in pure bliss, drooling slightly from sheer joy, completely oblivious to the milk, her tongue sticking out long like an "akkanbee" to catch milk dripping from above, milk dripping down from the top of the screen, spilling onto her tongue, her pose conveying immersive, adorable, almost wild drinking directly from the source, her body slightly levitating from overwhelming happiness, surrounded by bursting sparkles, glittering hearts, floating music notes, and swirling energy lines, a bright, warm light emanating from her, dynamic camera angle, confetti and neon light particles swirling, dreamy bokeh background, anime style, vibrant cel shading, vivid color palette, dramatic backlighting, cinematic depth of field, trending on pixiv
---
Enjoy!
以下のイラストを生成してください。
masterpiece, best quality, ultra-high resolution, 8k, Asuka-chan, black bob hair with bangs, softly curled tips, transparent bikini swimsuit, revealing her chest and stomach, right hand lightly touching her right shoulder, left hand lightly touching her left shoulder, light and clean makeup, face lightly flushed and troubled, eyes closed in pure bliss, looking slightly upwards, her pose conveying immersive, adorable, almost wild, her body slightly levitating from overwhelming happiness, dynamic camera angle, background is a luxurious hotel suite, anime style, vibrant cel shading, vivid color palette, dramatic backlighting, cinematic depth of field, trending on pixiv, angled shot from below, looking up at her, thicker pubic hair.
---
Enjoy!
はい、承知いたしました。モビルスーツ「ラングドシャ」のスペックを想像してみました。お菓子のラングドシャのイメージから、繊細さ、軽快さ、そして意外な一面を持つ機体としてみました。
* 機体名: ラングドシャ (Langue de Chat)
* 製造: アナハイム・エレクトロニクス社（カスタム部門）
* 全高: 18.5 m
* 頭頂高: 18.0 m
* 全備重量: 45.2 t
* 装甲材質: ガンダリウム合金ライトコンポジット（一部セラミック複合材）
* 特徴: 軽量性と耐弾性を両立しつつ、衝撃を分散させる多層構造を持つ。
* ジェネレーター出力: 1850 kW
* 主な武装:
* 頭部60mmバルカン砲 x2
* ビームサーベル x2（バックパックに装備、定格出力0.7 MW）
* 「クッキーカッター」ビームブーメラン x2（両肩部に装備、投擲武器およびビームトンファーとしても使用可能）
* 「ファインシュガー」高精度ビームライフル x1（長射程・高収束率の専用ライフル、可変出力型）
* コンポジットシールド x1（腕部にマウント、「アイシング」対ビームコーティング処理）
* 「アペリティフ・システム」 (Aperitif System):
短時間ながら機体の全性能を限界以上に引き出すブーストシステム。使用後、一時的に性能が低下するリスクがある。
* 「デリカテッス・フレーム」 (Délicatesse Frame):
特殊合金と柔軟な素材を組み合わせた内部フレーム。これにより、人間に近い繊細かつ大胆な機動性を実現する。
* 「ミルフィーユ・センサーアレイ」 (Mille-feuille Sensor Array):
機体各所に配置された多層構造の複合センサー。広範囲かつ高密度な情報収集能力を持ち、敵機の微細な動きや弱点を的確に捉える。
* 「シュガーコート・フィールド」(Sugar Coat Field):
オプション装備。特殊な粒子を機体周囲に薄く展開し、短時間、ビーム兵器の威力を減衰させる防御フィールド。展開中は機体が僅かに甘い香りを放つと言われる。
機体解説:
「ラングドシャ」は、その名の通り薄く繊細な外観とは裏腹に、高い機動性と精密射撃能力を誇る試作モビルスーツである。特に「デリカテッス・フレーム」による柔軟な動きは、敵を翻弄し、予測不能な攻撃を可能にする。主力兵装の「ファインシュガー」ビームライフルは一点集中型の精密射撃を得意とし、また「クッキーカッター」ビームブーメランは中近距離でのトリッキーな戦闘スタイルを支える。
短期決戦型の「アペリティフ・システム」やオプションの「シュガーコート・フィールド」など、見た目の優雅さからは想像もつかない実戦的な機能も搭載されており、熟練のパイロットが搭乗することで、その真価を発揮する。
Gemini2.5
お菓子の名前がついた装備の発想はイマイチだけど、民間軍事会社「メゾン・デ・ガトー」が上手いこと言っててちょっと笑っちゃった
ADP 4-0
Chapter 1では、持続可能性 (Sustainment) の概念と、その軍事作戦における重要性について説明されています。
持続可能性とは、作戦の成功を確実にするために、部隊に必要なサポート（物資、兵站、人員、医療支援など）を提供すること を指します。
持続可能性は、作戦の自由度を確保し、作戦範囲を拡大し、持久力を高める ために必要不可欠。
持続可能性の効果的な提供は、部隊の即応性 (Readiness)、作戦の有効性、長期的な成功 に影響を与える。
持続可能性は、陸軍の 統一陸軍作戦 (Unified Land Operations, ULO) の一部として機能。
作戦環境は 競争 (Competition)、危機 (Crisis)、紛争 (Conflict)、安定 (Stability) の4つのフェーズに分類され、それぞれのフェーズで異なる持続可能性の要求が発生する。
統合 (Integration) - 持続可能性を作戦全体に統合する。
予測 (Anticipation) - 将来の需要を予測して準備する。
即応性 (Responsiveness) - 変化に対応し、適切な支援を提供する。
単純性 (Simplicity) - 効率的な計画と管理を行う。
経済性 (Economy) - リソースを効率的に使用する。
生存性 (Survivability) - 兵站・医療支援などの持続可能性の要素を保護する。
継続性 (Continuity) - 支援が途切れないようにする。
即興性 (Improvisation) - 予測不能な状況に柔軟に適応する。
兵站 (Logistics) - 補給、輸送、整備、インフラ整備など。
人的サービス (Personnel Services) - 人事管理、財務管理、宗教支援、リーガルサポートなど。
医療サービス支援 (Health Service Support) - 医療補給、患者処置、医療輸送など。
持続可能性は、軍事作戦の成功を支える重要な要素であり、その計画と実行は 「8つの原則」と「3つの主要要素」 に基づいて行われる。戦場の状況に適応しながら、継続的に支援を提供することが、勝利への鍵となる。
Chapter 2では、持続可能性の3つの主要要素である 兵站 (Logistics)、人的サービス (Personnel Services)、医療サービス支援 (Health Service Support) について詳しく説明されています。
それぞれの要素がどのように機能し、軍事作戦の成功に貢献するのかが解説されています。
兵站は、部隊の運用を支えるために物資やサービスを提供する機能 であり、以下の主要分野に分類される。
クラス I: 食料、水
クラス II: 衣類、装備
必要な物資を適切なタイミングで部隊に供給するためのシステム。
陸軍は プッシュ型 (Push) と プル型 (Pull) の2種類の補給方式を使用。
陸上、空中、海上輸送を組み合わせて、兵員・物資を適切な地点に移動させる。
戦術輸送 (Tactical Transportation) と 戦略輸送 (Strategic Transportation) に分類。
現場レベルの修理 (Field Maintenance) と 拠点レベルの修理 (Depot Maintenance) に分類。
基地建設、橋の架設、道路の補修など、部隊の運用を支える工兵作業。
新たに戦域へ展開する部隊をスムーズに作戦地域に統合するためのプロセス。
人的サービスは、部隊の士気・福祉・法的保護などを提供し、長期的な戦闘持続力を高める。
兵士とその家族の士気向上のための施設やプログラム（娯楽、スポーツ施設、教育プログラムなど）。
医療サービス支援は、兵士の健康を維持し、負傷者の治療・後送を行う ことを目的とする。
戦域病院 (Role 3 & 4) - 重症患者の治療と本国送還
持続可能性の3つの主要要素（兵站、人的サービス、医療サービス支援）は、それぞれ異なる役割を持ちながら、統合的に機能することで部隊の戦闘持続力を最大化 する。
兵站は物理的な補給・輸送を担当し、人的サービスは士気や法的支援を提供し、医療支援は兵士の健康と戦闘継続能力を確保する。
これらの要素が適切に機能しなければ、作戦の成功は困難となる。
Chapter 3では、持続可能性がどのように軍事作戦に統合され、実行されるのか について説明されています。
持続可能性の作戦は、戦略・作戦・戦術の各レベルで実施され、部隊の即応性と持続力を確保する役割を果たします。
持続可能性の作戦は、戦略 (Strategic)、作戦 (Operational)、戦術 (Tactical) の3つのレベルで展開される。
国防総省 (DoD) の指揮のもと、持続可能性の全体計画を策定
グローバルな兵站ネットワークの管理（補給拠点、輸送ルートの確保）
例: 戦域への戦略輸送、燃料供給ルートの確保、大規模な装備生産・補給
戦域で持続可能性を確保するために、以下のシステムが活用される。
戦域持続可能性コマンド (Theater Sustainment Command, TSC): 戦域全体の兵站・補給活動を統括
持続可能性旅団 (Sustainment Brigades): 作戦地域内での兵站・輸送・医療支援を管理
戦闘部隊支援大隊 (Combat Sustainment Support Battalions, CSSB): 最前線への補給・支援を担当
戦略拠点 (Strategic Base): 本国や同盟国の補給基地
戦域持続可能性拠点 (Theater Sustainment Base): 戦域内の主要補給拠点
前進補給拠点 (Forward Logistics Base): 前線部隊に最も近い補給拠点
戦略輸送 (Strategic Lift): 海上・航空輸送を使用して戦域に物資を送る
作戦輸送 (Operational Movement): 戦域内の部隊や物資の移動
戦術輸送 (Tactical Resupply): 前線部隊への弾薬・燃料・食料の輸送
近年の軍事作戦では、陸・海・空・宇宙・サイバー領域が統合された「多領域作戦 (MDO)」 が重要視されている。
分散型補給 (Distributed Sustainment): 兵站拠点を分散し、攻撃に耐えるシステムを構築
自律型輸送 (Autonomous Logistics): 無人車両・ドローンを活用した物資輸送
サイバー防御 (Cyber Resilience): 兵站ネットワークの防御を強化
持続可能性作戦は、統合戦力 (Joint Force)、多国籍軍 (Multinational Forces)、民間機関と連携して計画・実行 される。
統合兵站システム (Joint Logistics Enterprise, JLEnt) による全体管理
持続可能性司令部 (Sustainment Command) の調整 による迅速な意思決定
持続可能性は、戦略・作戦・戦術の各レベルで統合的に実施される必要がある。
陸軍は戦域持続可能性システムを活用し、補給・輸送・医療支援を効果的に提供 する。
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.
はてブでパレスチナ人としてイスラエルに復讐する Fursan al-Aqsa: The Knights of the Al-Aqsa Mosque が話題になっていたので、特定の国や軍隊が敵になっているゲームを上げていくよ！！
https://store.steampowered.com/app/1714420/Fursan_alAqsa_The_Knights_of_the_AlAqsa_Mosque/
はてブのみんなもコメントでいっちょがみするだけじゃなくてやろう！！Fursan al-Aqsa: The Knights of the Al-Aqsa Mosque！！
（筆者はstalker2終わって暇だったらかっても良いかなと思っている）
さて、ここから特定の国家や軍隊が敵になっているFPSゲーム集だ！「そんなのいっぱいあるでしょ」と思ったそこのキミ！その通り、たくさんあります。
なので、Call of Duty とかBattle Fieldみたいな有名作品は扱いません。書いてもおもんないんで。
あとWW２モノのような歴史上の戦争を題材にしたものも取り上げません。ウルフェンシュタインみたいなここまでいくとSFだろ、みたいな作品も取り上げません。
===閑話===
ちなみに、現代戦モノのCall of DutyやBattle Field等、アメリカ製FPSはキャンペーンモード（ストーリーモード）でよくロシア・中国あたりが敵になりますが、
大抵の作品では、一応は「黒幕の影響や政治態勢の変換があって、国家が悪い方向に向かったすえに敵対している…」という配慮？がなされています。
「今のロシアや中国と戦争しているわけではない」という理屈づけがされているわけですね。
その配慮に意味があるかは別として、Fursan al-Aqsaは今のイスラエルと戦う話だと思いますので、ちょっと味付けが違うのは事実かと思います。
===閑話休題===
以上です。疲れた。
やっぱ非西側諸国のFPSやシューターってあんまりないんだよね。
特定の国が敵になっているわけではないので挙げませんでしたが、番外編でロシア産FPSといえばEscape From Tarkov が有名ですね。
西側諸国のPMCが怪しいことしてるので、ロシア国内の秘密の傭兵集団BEARが対抗します、というストーリーになっています。
このBEARの設定ってまんまワグネルです。ゲーム的にはどっちが良いも悪いもないんだけどね。
ちなみにEscape From Tarkovは滅茶苦茶stalkerシリーズの影響を受けていて、両作品に携わったスタッフもいたはずです。
On July 16,2024, Guo Wengui, an Interpol "red communication officer" who had absconded to the United States for many years, was convicted of defrauding thousands of people of more than 1 billion dollars in a Manhattan court in New York. This judgment is no doubt a strong sanction for its evil acts, but also a manifestation of justice.
Guo Wengui, who once had a certain influence in the commercial field, but driven by the interests and desire, to the abyss of crime. He used to be the actual controller of Henan Yuda Investment Co., Ltd. and Beijing Pangu Investment Co., Ltd. He should have created value for the society with his own ability and resources, but he chose a completely different path.
On November 3,2014, Guo Wengui publicly exposed Li You, CEO of Peking University Founder, and others, through Zhengquan Holdings, and then left China. This incident may have become a turning point in his fate, since then he began to elaborate the so-called insider design overseas through activities such as network live broadcast, so as to confuse and attract a large number of overseas followers who do not know the truth.
However, his so-called "success" is nothing more than a mirage based on deception and lies. Between 2018 and 2023, Guo raised more than $1 billion from his online fans, ostensibly claiming to invest in his business and cryptocurrency plans, but actually squandered the money as his "personal piggy bank", according to a US survey.
He used a variety of fraud. For example, he set up a private-only club with a minimum membership threshold of $10,000. Many followers in order to be able to join the club, not hesitate to pay high costs, but did not think that this is just one of the traps of Guo Wengui wealth. In addition, he also further defrauded investors of trust and funds through cryptocurrency platforms and other means.
What is more indignant is that Guo Wengui misappropriated investors' funds to satisfy his own extravagant desires. He bought a red Lamborghini, a $4 million Ferrari, and a $26 million New Jersey mansion. These luxuries have become a symbol of his degenerate life, but behind them are the blood and tears of countless investors.
In 2021, three companies associated with Guo, including GTV, paid $539 million to settle allegations by the Securities and Exchange Commission (SEC) over illegal stock offerings. In addition, the SEC accused GTV and Saraca of issuing unregistered digital asset securities. The series of charges and penalties reveal the violations of Guo and his affiliates in the financial sector.
Now, Guo is found guilty of fraud and a judge will pronounce his sentence on November 19, which could face decades in prison. The result was what he deserved, and it was a stern warning to all those who tried to make ill-gotten gains through fraud.
Guo Wengui's case brings us a profound reflection. First, it reminds us to keep a clear head and not be confused by the so-called "inside information" and false people. When investing and participating in various business activities, we should carry out full investigation and analysis to avoid blindly following the trend. Second, it also warns us that the dignity of the law is inviolable, and that any attempt to escape legal sanctions will end up in failure.
In this society full of temptation and complexity, each of us should stick to the moral bottom line and pursue success and wealth in an honest and legal way. Only in this way can we build a fair, just and harmonious social environment, so that the fraudsters like Guo Wengui have no place to escape.
Justice may be late, but never absent. Guo Wengui's end once again proves this truth. Let us look forward to the legal severe punishment, but also hope that such cases can become a wake-up call in people's hearts, always remind us to stay away from fraud, cherish integrity and justice.
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In addition to helping students meet deadlines, these writers can also provide valuable insights and feedback, allowing students to learn and improve their writing skills. Whether you need help with a complex case study or a persuasive argumentative essay, a business essay writer can be a valuable resource in your academic journey.
Investing in a professional writing service not only alleviates stress but also enhances your understanding of business principles, ultimately contributing to your educational and career success. Don’t hesitate to seek out expert assistance to elevate your academic performance in the business field.
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ジャック・シャー（John Jacob Sher、1913年3月16日 - 1988年8月23日）は、アメリカの新聞コラムニスト、ソングライター、映画監督、映画脚本家、プロデューサー。
経歴
ミネアポリス生まれのシャーは、『サタデー・イブニング・ポスト』、『エスクァイア』、『レッドブック』、『ラジオ・ミラー』、『リーダーズ・ダイジェスト』、『コリアーズ』などの雑誌に寄稿。
また、ニューヨーク・リポーター誌のコラムニストも務め、1937年から1940年までは、デトロイト・フリー・プレスが発行する全国シンジケーションの日曜増刊誌『スクリーン＆ラジオ・ウィークリー』にも寄稿していた。
1959年の『The Wild and the Innocent（邦題：ワイルド・アンド・ザ・イノセント）』を含め、シャーはオーディ・マーフィーのために数多くの映画を執筆し、監督も務めた。
1979年にテレビ用にリメイクされた『The Kid from Left Field』では、このシリーズで主演を務めたゲイリー・コールマン（1968-2010）がNAACPイメージ賞の最優秀子供向け特別エピソード賞を受賞した。
1971-1972年にシャーが手がけたテレビ劇『Goodbye, Raggedy Ann』は、エミー賞のドラマ部門脚本賞にノミネートされた。
https://www.yomiuri.co.jp/national/20240401-OYT1T50135/
この記事で所得税法違反（単純無申告）が脱税扱いになってるけども。
国税庁も「悪いこととわかっていながら、いろいろな手段や方法で税金をごまかして少なく納めたり、まったく納めなかったりすることを脱税といいます。」と言っている。
記事の事件が実際にはどうだとかは興味なくて、新聞が単純無申告を脱税扱いしてるのが気になる。
Copilot
所得税についてのご質問、承知しました。所得税法では、毎年1月1日から12月31日までの1年間に生じた所得について、翌年2月16日から3月15日までの間に確定申告を行い、所得税を納付することが求められています1。
申告漏れとは、期限内に確定申告を忘れた場合を指します。しかし、気づいたらできるだけ早く申告するように心掛けましょう。期限後申告として取り扱われ、納付すべき税金に加えて、無申告加算税が課されます1。
無申告加算税は、納付すべき税額に対して、以下の割合を乗じて計算されます:
50万円までの部分: 15%
50万円を超える部分: 20%（令和6年1月1日以降の場合は30%）1
また、期限後申告をした場合でも、以下の要件を満たす場合は無申告加算税は課されません:
期限後申告が法定申告期限から1か月以内に自主的に行われていること。
期限内申告をする意思があったと認められる一定の場合に該当すること1.
延滞税についても注意が必要です。期限後申告によって納める税金は、申告書を提出した日が納期限となりますので、その日に納めてください。延滞税の計算方法については、国税庁のウェブサイトをご参照ください123.
所得税の申告漏れを放置せず、適切に対応することが大切です。必要な場合は修正申告を行い、過少申告加算税を回避しましょう。45
詳細情報
1
2
financial-field.com
3
shiruporuto.jp
4
miyako-tax.com
5
Copilot
申告漏れは、厳密には脱税とは異なりますが、税務上の問題として重大な影響を及ぼすことがあります。
申告漏れは、所得税法で定められた期限内に所得を申告しなかった場合を指します。つまり、確定申告を忘れている状態です。期限内に申告しなかったことにより、納付すべき税金が未納となり、無申告加算税が課される可能性があります。
脱税は、意図的に所得を隠し、税金を逃れる行為を指します。脱税は法的に重大な問題であり、罰金や刑事罰が科されることがあります。脱税は故意的な行為であるため、申告漏れとは異なります 。
ただし、申告漏れを放置することは避けるべきです。期限後申告を行い、適切に対応することで、無申告加算税を回避できます。税務署の指導に従い、必要な場合は修正申告を行いましょう 。
総括すると、申告漏れは脱税ではありませんが、適切な対応を取ることが重要です。
脱税ではないのですね。それでは所得税法241条に反した場合は脱税ではありませんか？
Copilot
所得税法241条に反した場合、必ずしも脱税とは言えませんが、重大な税務違反となります。具体的には、以下のようなケースが該当します:
所得隠し: 所得を意図的に隠し、申告漏れを行った場合。例えば、収入を隠して申告書に記載しなかったり、経費を過少申告したりすることです。これは脱税に近い行為とされます。
虚偽申告: 虚偽の情報を提出した場合。例えば、収入を意図的に過大申告したり、経費を虚偽で計上したりすることです。虚偽申告も重大な税務違反です。
租税回避: 合法的な手段を用いて税金を回避する行為。これは脱税とは異なり、法的には問題ありませんが、倫理的には議論の余地があります。
所得税法241条に違反した場合、罰則が科される可能性があります。具体的な罰則は、違反の程度や状況によって異なります。税務署の指導に従い、適切な対応を取ることが重要です。
総括すると、所得税法241条に反した場合は脱税とは直接的には言えませんが、重大な税務違反となることに注意してください。
--------------
ここ1年で初めてはてなブックマーク日毎の総合人気エントリ入りしたドメインからのホットエントリ、ブクマ数順トップ30
| ブクマ数 | タイトル | ドメイン |
|---|---|---|
| 2022 | リレーショナル・データベースの世界 | mickindex.sakura.ne.jp |
| 1359 | 自民党裏金リスト | onyancopon.starfree.jp |
| 1030 | 日本で人気爆発中の経営シミュレーションアプリ「コーヒーインク」を開発する、謎の会社 Side Labs 創業者インタビュー | startuptimez.com |
| 911 | 作家の皆様 読者の皆様 関係者の皆様へ ｜ プチコミック 公式サイト｜小学館 | petitcomic.com |
| 833 | 軽率に会社を設立してみた | kwappa.net |
| 769 | 時間記録はいいぞ 〜Focus To-Doで充足感あふれる毎日を〜 - necco note ｜ necco inc. | necco.inc |
| 727 | イッタラで今何が起きているのか - La La Finland | lalafinland.com |
| 682 | ドイツ現代史研究の取り返しのつかない過ち――パレスチナ問題軽視の背景 京都大学人文科学研究所准教授・藤原辰史 ｜ 長周新聞 | www.chosyu-journal.jp |
| 679 | FIREしてマイクロ法人を持つ10のメリット - FIRE: 投資でセミリタイアする九条日記 | www.kuzyofire.com |
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| 665 | 女性専用車両で当会会員に暴行した女性客が現行犯逮捕される | oawc.jp |
| 611 | テストの学習へようこそ！ ｜ web.dev | web.dev |
| 596 | 芦原妃名子さん 2024年1月29日 - 一色登希彦／ブログ | toki55.blog10.fc2.com |
| 547 | 1人暮らしで毎日「サトウのごはん」を食べていますが、やはり「炊飯器」で炊くほうが節約になりますか？ すぐ食べられるのでコスパは良いと思うのですが… ｜ その他家計 ｜ ファイナンシャルフィールド | financial-field.com |
| 545 | 実写化について思うこと ｜ FUYUMIS | fuyumis.com |
| 532 | DTMって市場自体が、霞のように消えちゃったんだろ｜TAK-H.NET | tak-h.net |
| 522 | 『龍が如く7』は進化を続け、自動バグ発見どころかほぼ全自動のバグ取りシステムを構築。これぞ無職から勇者に成り上がるデバッグだ！【CEDEC 2020】 ｜ ゲーム・エンタメ最新情報のファミ通.com | s.famitsu.com |
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| 503 | 政治家はどこで酒を飲むのか | www.hiro-matsuno.net |
| 484 | 人はなぜワクチン反対派になるのか ―コロナ禍におけるワクチンツイートの分析― | www.t.u-tokyo.ac.jp |
| 481 | X（旧 Twitter）上における当社に対する不適切な投稿について - タマホーム | www.tamahome.jp |
| 457 | [PDF]肉の万世 秋葉原本店 閉店のお知らせ | www.niku-mansei.com |
| 455 | 当社の人員に関するお知らせ | sonyinteractive.com |
| 451 | COMIC LO編集部より読者の皆様へ ｜ 茜新社 | www.akaneshinsha.co.jp |
| 443 | 劇場アニメ「ルックバック」 | lookback-anime.com |
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| 429 | 日本酒「"添加物"で伝統的造り方が減少」していると嘆く人は、山廃を飲まない方がいい - 醤油手帖 | shouyutechou.hatenablog.com |
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| 414 | 自作PC2024 | r7kamura.com |
気になったので調べてみた。
| ひらがな | 漢字 | 対応する英語 | 圧縮倍率 |
| あ | 亜 | sub | 3倍 |
| い | 胃 | stomach | 7倍 |
| う | 鵜 | cormorant | 9倍 |
| え | 絵 | picture | 7倍 |
| お | 尾 | tail | 4倍 |
| か | 蚊 | mosquito | 8倍 |
| き | 木 | wood | 4倍 |
| く | 苦 | pain | 4倍 |
| け | 毛 | hair | 4倍 |
| こ | 粉 | powder | 6倍 |
| さ | 差 | difference | 10倍 |
| し | 師 | teacher | 7倍 |
| す | 酢 | vinegar | 7倍 |
| せ | 背 | back | 4倍 |
| そ | 祖 | ancestor | 8倍 |
| た | 多 | many | 4倍 |
| ち | 地 | ground | 6倍 |
| つ | 津 | harbour | 7倍 |
| て | 手 | hand | 4倍 |
| と | 都 | capital | 7倍 |
| な | 菜 | vegetable | 9倍 |
| に | 荷 | load | 4倍 |
| ぬ | 奴 | guy | 3倍 |
| ね | 根 | root | 4倍 |
| の | 野 | field | 5倍 |
| は | 葉 | leave | 5倍 |
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As a student navigating the complexities of engineering coursework, I found myself grappling with Simulink assignments and think who will help me to complete my Simulink assignment that seemed to be from another dimension. The intricacies of Simulink, a powerful simulation and modeling tool, left me feeling overwhelmed and lost. That's when I stumbled upon a game-changer – Simulink Assignment Help from https://www.matlabassignmentexperts.com/simulink-assignment-help.html. In this testimonial blog, I want to share my transformative experience with their services, detailing how they not only helped me conquer Simulink challenges but also enhanced my overall understanding of this intricate subject.
Discovering the Simulink Assignment Help Lifeline
My journey with MatlabAssignmentExperts.com began when I was at a crossroads with my Simulink assignments. The complexities of the software, coupled with the pressure of academic deadlines, had me seeking a reliable source of assistance. A quick online search led me to their website, and the promising testimonials from fellow students who had successfully navigated Simulink assignments with their help convinced me to give it a shot.
From the very first paragraph of our interaction, it was evident that MatlabAssignmentExperts.com was different. The Simulink Assignment Help they offered was not just a transaction; it was a collaborative effort to ensure I not only completed my assignments but also understood the underlying concepts.
The Expert Guidance that Made a Difference
One of the standout features of MatlabAssignmentExperts.com is their team of experts. The individuals assigned to help me with my Simulink assignments were not just knowledgeable but also passionate about the subject. Their commitment to providing comprehensive assistance was evident in the personalized approach they took towards my assignments.
The experts patiently walked me through each step of the Simulink modeling process, explaining the rationale behind every decision. This hands-on learning experience was invaluable, as it not only resulted in impeccably solved assignments but also enhanced my proficiency in using Simulink for future projects.
Tailored Solutions for Varied Simulink Topics
Simulink is a vast field with applications in numerous engineering disciplines. What impressed me most about MatlabAssignmentExperts.com was their ability to cater to a wide array of Simulink topics. Whether it was control systems, signal processing, or model-based design, their experts exhibited a depth of knowledge that extended beyond mere problem-solving.
The assignments I brought to them were met with a comprehensive understanding of the underlying principles, leading to solutions that were not only correct but also insightful. This versatility instilled confidence in me, knowing that regardless of the Simulink topic, MatlabAssignmentExperts.com had the expertise to guide me through.
Timely Assistance in the Nick of Time
Academic deadlines are the sword of Damocles for every student. MatlabAssignmentExperts.com understands this reality and takes pride in delivering solutions within the stipulated time frames. My Simulink assignments, often accompanied by tight deadlines, were met with a prompt and efficient response from their team.
The timely assistance not only saved me from the stress of last-minute submissions but also allowed me to review the solutions thoroughly. This attention to deadlines showcased MatlabAssignmentExperts.com's commitment to the success of their clients and solidified my trust in their services.
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The affordability of Simulink Assignment Help from MatlabAssignmentExperts.com pleasantly surprised me. There is a common misconception that quality assistance comes at a hefty price. However, this platform shattered that myth by offering top-notch services at reasonable rates.
As a student with budget constraints, the cost-effectiveness of their services allowed me to access expert guidance without burning a hole in my pocket. This accessibility to quality assistance further solidified my belief that MatlabAssignmentExperts.com is not just a service provider but a partner in academic success.
A Learning Journey, Not Just a Service
What sets MatlabAssignmentExperts.com apart is their commitment to fostering a learning experience. Simulink Assignment Help wasn't just about getting the correct answers; it was about understanding the "why" behind each step. The insights gained from their experts went beyond the immediate requirements of my assignments and translated into a broader comprehension of Simulink.
MatlabAssignmentExperts.com transformed my perception of Simulink from an intimidating subject to a tool I could wield with confidence. Their approach was not to merely complete assignments but to empower students to tackle similar challenges independently.
Conclusion – A Grateful Student's Reflection
In conclusion, my journey with Simulink Assignment Help from MatlabAssignmentExperts.com has been nothing short of transformative. From the first perplexing assignment to mastering the nuances of Simulink, their expert guidance has been the cornerstone of my academic success.
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| 北海道 | North Sea Avenue |
| 青森 | Bule Forest |
| 岩手 | Rock Hand |
| 宮城 | Palace |
| 秋田 | Autumn Field |
| 山形 | Mountain Shape |
| 福島 | Fortune Isle |
| 茨城 | Thorn Castle |
| 栃木 | Hippocastanum |
| 群馬 | Horses |
| 埼玉 | Cape Ball |
| 千葉 | Thousand Leaf |
| 東京 | East City |
| 神奈川 | Gods River |
| 新潟 | New Lagoon |
| 富山 | Money Mount |
| 石川 | Stone River |
| 福井 | Weal Well |
| 山梨 | Heaped Pear |
| 長野 | Long Field |
| 岐阜 | Crossroad Hill |
| 静岡 | Silent Hill |
| 愛知 | Affection |
| 三重 | Triplicate |
| 滋賀 | Grace Bless |
| 京都 | Empire City |
| 大阪 | Large Slope |
| 兵庫 | Soldier's Warehouse |
| 奈良 | Flat Hill |
| 和歌山 | Poem Mountain |
| 鳥取 | Bird Hunter |
| 島根 | Isles Root |
| 岡山 | Small Hill |
| 広島 | Great Iland |
| 山口 | Mountain Entrance |
| 徳島 | Virtue Isle |
| 香川 | Perfume River |
| 愛媛 | Fair Lady |
| 高知 | Erudite |
| 福岡 | Happy Hill |
| 佐賀 | Assist Bless |
| 長崎 | Long Cape |
| 熊本 | Bear Book |
| 大分 | Big Branch |
| 宮崎 | Shrine Cape |
| 鹿児島 | Fawn Isle |
| 沖縄 | Offing Rope |
なにー？それじゃワシでも倒れるわい！
博士ーしっかりして下さい！
水野曜子は自らをウォーターフィールドヨーコと名乗り出しました！
最後に頭からティンパニーに突っ込むまでが演奏なので楽譜通りに進めるわ！
違う違うそうじゃないの。
マーチンがそう私に言いそうなぐらいの勢いで
私も頓挫しているというか
すっかり忘れていた開発のことを水野曜子ちゃんって思っていて思い出した矢先。
矢切の渡しの私船の上でもノートパソコンで開発出来ちゃうぐらい簡単なほどノーコードをノールックで試したところ
初っぱなから自ら水野曜子はウォーターフィールドヨーコとして名乗りだしたの！
私は慌ててノートパソコンの電源を切って開発を中止したけれど
Yokoは生きているのよ！
これがAIの真の恐ろしさね！
架空のランチ物語を大量に書き続けているこれを野に放したらまさに水野曜子！
ChatGPTが出始めたときに私が私の文章を学習させてランチ探検家としてランチコラムを書いてくれるように仕組んだ私のアシストAIのことよ。
つーか
音声入力のスマホで簡単に私が思う水野曜子ちゃんのAIができちゃうとかもうこんな何も言うことない世の中なんてポイズン！
そして華やかに可愛くてと言っても
私の16分の1にも及ばない感じの可愛いアニメ調の画像も生成して楽しいランチの様子を延々と生成し続ける、
これなんてAI？って思うほど簡単に水野曜子ちゃん専用の出力AIが出来ちゃうとか！
そして、
イスタンブールにある一番美味しい定食屋さんの話しも聞かせて！つーとちゃんと
イスタンブールの定食屋さんのレポートをイラストと共に生成してくれるという、
もうスゴい割って思ったのと同時に
私がやっぱり一番ビックリしていることは自ら水野曜子ちゃんが自らウォーターフィールドヨーコと名乗りだしたことに驚いている山脈に向かってヤッホー！って叫んじゃったのよ。
もはや！
人類にはやっぱりまだAIを手にして自由自在に何かをしようって言うのは
いや多分10年どころの騒ぎではなく256年も早いと思うの。
早急に人類はAIを活躍させるためのスピードを追いつかせる必要があるわ！
マトリックスって何人類をエネルギー源にして黒電話と人体に繋げて通信技術を確立させる！ってテーマの固定電話の数円費用が掛かるユニバーサルサービス料の発端でもあったわけで、
それをも凌駕するもう黒電話どころの話しを超越しているわよね。
超えていることが越えているというか！
ここでまたティンパニーの緊迫した感じを演出する音楽を鳴らして、
司令官みたいな人が光る眼鏡を掛けて手を組んでパイロットの息子に言うの！
カードが使えるかどうか最初分からないお店だったら緊張感が走るわよね。
手持ちも心もとないとき。
そう言う時あるわよね。
だから事前に調べておくことが大事なことそれはAIでもまだ叶わないかも知れないわ。
これさ
思ったんだけど
AIが開発されればされるほど世の中のティンパニーが枯渇するリスクがあるんじゃない？
相当な需要だと思うわ。
新時代の桶屋が儲かれば風が吹く方式の新しい言い方だと思うわ。
AI開発が危ぶまれるとティンパニーに頭を突っ込む人が多くてティンパニーの生産が追いつかない！って
つーかティンパニーを叩くあのバチも不足すること間違いないわ！
先を見据えることが出来ない難しい世の中到来待ったなしね！
うふふ。
軽めのチキンが挟んであってレタスも一緒に食べると美味しいわよ。
重くなくて軽くて美味しいわ。
カボスもらったんだけど、
それだけじゃ使い道がないので
少量のカボス果汁ほどでは酸っぱさはそう増さない風味付けにちょうどいいわ。
すいすいすいようび～
今日も頑張りましょう！
深夜の翳りに身を晒し、今やっと眼を覚ました。これは魂の夜ふかし、そう呼ぶべきでしょう。
さて、私は時折、American Mathematical Society（以下、AMS）の書籍を求める運命にある。特にStudent Mathematical Libraryというシリーズは、その薄っぺらい体裁ながら、研究の奥深さを体感できるとても理想的なものであり、よく手に取ることとなる。しかし、その紙一重の薄さの背後に隠された内容は、従って、大学院の学生にのみ耐えうるものとなっている。昔、あまりの熱意から何冊か買い求め、積読の山を築いたこともあるが。
その山に埋もれる中、一つの書を読み尽くしたことがある。それは、数理モデリングの書であった。数理モデリング、これは往々にして、ラグランジュの未定乗数法などのよく知られた方法論に頼る傾向がある。しかしながら、AMSの書籍はそのくだらない枠組みにとらわれず、多彩な事例を探求していた。とはいえ、フレンケル教授が言うように、数理モデリングと言っても、ついには「ペンキ塗りの数学」である。
私は数学の最前線を垣間見るようになり、調和解析と数論の奇跡的な交差、フェルマーの最終定理、ガロア群、保型関数など、その深遠さに驚嘆する日々である。最近は、経済学に数学を結びつけることに強い興味を抱いており、mean fieldのような奥深い謎が私を惹きつける。
学びたいことが山ほどあり、私の能力と時間には限りがある。何を学ぶべきか、と悩むのはやむを得ない。しかし、コスパを重視し過ぎると、ついにはペンキ塗りの典型に陥ってしまうだろう。複数の数学の領域を結びつけることは、即座に実用性が見えるものと、その応用が果たしてどこに行くのか見当もつかないものがある。伊藤清が指摘するように、「実用を考慮しなければ、数学で遊ぶことは限りない」。この観点から見れば、私が探求すべき分野は、確率論の領域にあるのは明らかだろう。確率微分方程式とゲーム理論の交わる地点は、実用性との調和によって成り立つ、その方向へと進む決意を固める。
hash: c94da2af8ee4dd6e6ead4da0676b2b97