はてなキーワード: originalとは
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.
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現在も隆盛を極めるリズムゲームのルーツ…のひとつであるビートマニア。
（もちろん、1年先にリリースされたパラッパラッパーの方が「すべての音楽ゲームのルーツ」だが、
「上から降ってくるオブジェクトに合わせてボタンを押す」フォーマットを完成させたという意味では直接のルーツにあたる）
その第1作に、最高難度を誇るいわゆる「ボス曲」として収録されて人気を博した「20,november」。
ただ闇雲に難しいわけではなく、「曲を覚えて、メロディやリズムを理解し、練習を重ねれば攻略できる」という絶妙な難度で音楽ゲームの楽しさを世に知らしめた点でもその功績は大きい。
（ちなみに、曲名の「11月20日」は作曲者の DJナグレオ こと 南雲玲生の誕生日である）
ビートマニアの象徴ともいえる存在で、数多くのバージョン違いも作られた。
本エントリではそれを紹介する。
（収録されたゲームやCDによって曲名、アーティスト名ともに表記ゆれが多い（カンマの後のスペースの有無、大文字/小文字など）が、基本的にそのバージョンの初出での表記にしている）
https://www.youtube.com/watch?v=RMNtlYObHCw
初代 beatmania (1997) 収録の 元祖 20,november。
……なのだが、「20,novem v er」と盛大に誤字をやらかしている（もちろんその後のバージョンでは修正されている）。
ジャンルは「HOUSE」。曲名ではなく、こちらで覚えている人も多いかもしれない。
https://www.youtube.com/watch?v=4XX2BdNtJyU
同じく初代 beatmania 収録。single mix とは曲構成が異なる。
2人プレイ、もしくはダブルプレイ（左右の鍵盤とターンテーブルを1人で操作するモード）だとこちらのバージョンになる。
https://www.youtube.com/watch?v=YR3oKco-Xp8
3作目「beatmania 3rdMIX」(1998) で追加された、いわゆるアナザー譜面（オブジェクトの配置を変えて高難度化したバージョン）。縦連がいやらしい。
初出の 3rdMIX ではゲーム内に「nagureo kidding style」の表記はなく、後のバージョンで追加された。
https://www.youtube.com/watch?v=v0N_fHRgdJM
同じくアナザー譜面。鍵盤の数が 5つから 7つに増えた姉妹作、 beatmania IIDX の 1.5作目「beatmania IIDX substream」(1999) で登場。
substream と「beatmania IIDX 2nd style」(1999) の 2バージョンにしか収録されておらず、家庭用への移植版でも遊べないレア譜面。
https://www.youtube.com/watch?v=Qmu7nL3pH6g
こちらもアナザー譜面。第7作「beatmania completeMIX 2」(2000) で追加。
completeMIX 2 を含む一部のバージョンと 一部の CD では、アーティスト名義が「n.a.r.d.」や「N.A.R.D.」になっている。
https://www.youtube.com/watch?v=pEFg3EMWAFU
第4作「beatmania completeMIX」(1999) に収録されたリミックスバージョン。
それに伴ってジャンルがオリジナル版の「HOUSE」から「HARD HOUSE」に変更。
オリジナルの 20,november のロング版は存在しないが、この hard mix のロング版は beatmania 4thMIX のサントラに収録されている。
https://www.youtube.com/watch?v=lPOU2pmzvnY
第9作※「beatmania CORE REMIX」(2000) に収録された、西脇辰弥によるリミックスバージョン。
ボーカルが新録され、オリジナル版よりも生っぽい音作りになっている。
（※「beatmania featuring DREAMS COME TRUE」(2000) は番外作として、ナンバリングに含めなかった場合）
https://www.youtube.com/watch?v=QJd9NbQrVv4
「DanceDanceRevolution 2ndMIX」(1999) に収録されたリミックスバージョン。
2ndMIX では STEP BATTLE という特殊なモード専用の曲だったが、3rdMIX 以降では通常のモードで遊べるようになった。
リミキサーは NAOKI こと 前田尚紀。オリジナルにあったボーカルは使われておらず、FINAL EDIT とは対照的にシンセが強調されている。
ちなみに DDR にはオリジナルの方の 20,november も移植されている。
https://www.youtube.com/watch?v=QLlHi1uioBk
PS版「beatmania APPEND GOTTAMIX」(1999) に収録。
人気の 4曲をメドレーにしたトラック。20,november はそのトリを飾っている。
他の 3曲は e-motion (RAVE)、LOVE SO GROOVY (SOUL)、La Bossanova de Fabienne (BOSSA GROOVE)。
MCは、発売当時「HEY! HEY! HEY!」でおなじみ……だった 武居 “M” 征吾。
ttps://www.youtube.com/watch?v=K8wpyrpi3jc
このバージョンのみ、ゲームに収録されたものではなく、CDのために作られたリミックス。
5鍵ビートマニア最後のベストアルバム「beatmania THE BEST PROMINENT」(2003) に収録。
……なのだが、原曲の面影がほとんどない。果たしてこれを 20,november と呼んでもいいのか…？
リミキサー名でググってもほとんど情報がない。一説には、ナグレオ自身が手掛けたとも言われているが…
非公式なリミックスはおそらく無数にあるんだろうけど、今回は公式縛りにした。
10個で足りないくらいバージョン違いが多いかと思ってたらそこまででもなくて、ぶっちゃけアナザー譜面で数を埋めたのは否定できない…
もっと足りなかったら、ビーマニポケットの音源 (ttps://www.youtube.com/watch?v=51BPfKfzpAw?t=250 ) とか、
いちおう非公式だけど半公式…？みたいな Hommarju Remix ( ttps://www.youtube.com/watch?v=oCSO1iZg98I ) とか、
曲名が似てるだけで全然別の曲の「19,November」( ttps://www.youtube.com/watch?v=XhPq3NOYRnw ) でお茶を濁そうかとも考えてたけど、それはせずに済んだぜ。
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弥助侍説→どうも可能性は高そう(諸説あり)
ANCIENT BLACK CHINESE.
The Negritos original native ancient asians believe to leave North Africa 100,000 years ago, is what the Chinese people and several Asians believed they came from. Meanwhile some Africans believe they are from Middle East meanwhile they have been pic.twitter.com/vRIUBw3NmR— African Hub (@AfricanHub_) February 3, 2023
Blacks in China
はじめに…
ここでのハイテクはEVAなどクッション性に優れた素材が使われているランニングシューズを基本とするデザインのものを指し、ローテクはゴム底でクッション性がないテニス/バスケットシューズを基本とするデザインを指す。最近はローテクでもアウトソールの上に極厚インソールを載せてクッション性を高めているものも多く出ている点には留意したい。また、シューズについての言説でよく目にする「◯◯(ブランド名)は幅がせまい！」などといったものは「私が履いたそのモデルは幅がせまい！」が正しく、主語がデカいってやつだ。大きな違いがあるのでこちらも心に留めておきたい。
【NIKE】
王者。ハイテクが強い、というかフロンティア。スニーカーマニアなら何足も持っていて、レアであることがステータス。投機対象。スウッシュにいくつか種類がある。昔のが好き。最初はオニツカのモデルを模したコルテッツを売ってただけなのにここまでになるとはね。手を使わずに履けるシューズの耐久性がどんなもんなのか気になっている。
【adidas】
世間に認知されてるのはローテク。量販店でオリジナルスを扱っているのは某マートだけだが、マニアに言わせると量販店モデルのスタンスミスは認めないらしい。3本線は元々adidasのものではなかった。なのに他社の平行線には厳しい。ハイテクだとboostシリーズはおすすめ。
世間ではめちゃくちゃ履き心地のよいシューズとして認知されている。必ずと言っていいほどUSA製やUK製(990番代)の信奉者から中国製(500番代)はマウントを取られる？ことでも有名。しかし生産国と履き心地には関連がない。クッション素材が重要なんだな。足に合えば/気にいれば安心して買ってください。ロゴは一周回ってやはりダサいと思う(基本的にどのブランドもでかでかとしたロゴはダサいとは思うが)。ローテクモデルもあり、こっちのほうがなんか好き。
【CONVERSE】
キャンバスシューズ界の王者。他にも数多くのブランド(SUPERGA/SPRING COURT/PF Flyers/Kedsなど)があるが淘汰されている。日本で流通している商品はコンバースジャパンが企画製造していて、NIKE傘下の米コンバースとは別の会社である。マニアから言わせると日本の商品はコンバースではないらしく、ここでもマウントが取られている。CAMPING SUPPLYとかCOUPEとかおもしろいけどね。ジャックパーセルは完成されたデザインよな。
【VANS】
スケートシーンで一択。他にもブランドはたくさんあるが一強。日本では某マートが商標持ってるので販売されているのは某マートの企画品。若者からの支持が厚い印象。ハーフキャブとかはあまり人気ないのかな？GRAVISとかもあったよね。
【PUMA】
ローテクのSUEDEシリーズがまず思いつく。ハイテクもありボリューミーなデザイン。あ、ディスクプレイズとかあったわ！TSUGIシリーズはおもしろかった。他ブランドの台頭により街で見なくなってしまった。あまりスニーカーに力を入れてないように感じる。
【Reebok】
おそらくPUMP FURYしか世間では認知されていないがハイテクもローテクもある。adidas傘下だったが販売不振で売却されてしまった。
【ASICS】
ランシューのイメージが強い。最近ではランシューをスニーカーとして履くのがオシャレらしい。少し前まではGELLYTEのようないわゆるニューバランスのようなスニーカーも知る人ぞで履かれていた。個人的にはGELMAIがデザイン/履き心地ともに気に入っている。
もはや高級路線。メキシコラインをあしらった定番デザインとかなり攻めたデザインの2本柱。日本ではメキシコラインが体育館シューズの印象が強いためか、海外のほうが人気がある印象。キル・ビルとか。セラーノはソールが薄いのに履き心地がよくて好き。
【MIZUNO】
スポーツシーンではすごいソールを更新し続けている。ASICSに続いて体育館シューズ？のイメージが日本人にはありそう。最近はニューバランスのようなクラシックラインもあるが街では見かけない。WAVE PROPHECYのような奇抜な？デザインもあり独自性もある。最近はミャクミャクモデルのようにコラボが増えている。IL BISONTEとのコラボシューズはお気に入り。
【BROOKS】
日本では無名だがアメリカでは誰でも知ってるランシューブランド。数年前まではスニーカーもあったけど今はランシューだけなのかな？
【SKECHERS】
クッション性に全振りしたコンフォートシューズ。メッシュ素材が多く、ファッションに取り入れるのは難しいかもしれない。量販店のPBが他ブランドをパクるのは世の常だが、NBのくせにわりと他ブランドのデザインをパクっている。デザインや配色を選ばなければ投げ売りされていることもしばしば。
【Allbirds】
SKECHERSの上位互換。
【MOONSTAR】
様々なブランドのシューズの生産を手掛けている。例えばコンバースのMADE IN JAPANモデル。最近は810sシリーズも安価かついなたいデザインで人気だが履き心地はうーん。GYM CLASSICを愛用中。
【SAUCONY】
数年前に某マートから販売されたが一瞬流行ってすぐに消えた印象。SHADOW ORIGINALは履き心地が良かったがJAZZは普通かなあ。ロゴがダサいとの声が多い。
【KARHU】
かわいいクマのロゴが特徴のフィンランドのブランド。なんとも表現しづらい配色が特徴。女性向けのデザイン/配色のような印象。投げ売りされてたランシューがめちゃ良かった。
【DIADORA】
バッジョが履いてた。ロゴが音符を並べているみたいな。Heritageシリーズくらいしか知らない。まだ日本で買えるのかな？
イタリア。サッカー界隈で流行った星の連弾ロゴ。職人の手作り/ホに見えるがユニオンジャックらしい。ソールも特徴的。
【WALSH/NOVESTA/blueover】
ハイテクのクラシック系。それぞれに特徴があってよい。blueoverは銀だことのコラボスニーカーが当たってしまった。
【le coq sportif】
このブランド特有のフランスっぽい？デザインが特徴だが製造・販売はデサント。女性に人気がある印象。最近ロゴから△がなくなったが、あったほうがよかった。ハイテクのシューズでも芯が入っていて履き心地は微妙。
【PATRICK】
フランス生まれの日本製。ハイテクローテクともにモデルが多く、素材も多種多様。サッカー起源のモデルも多い。30代~から支持されている印象。買ったモデルに関しては日本製だが特段品質面で優れているとは思わなかった。
【SPINGLE MOVE】
日本製。革のアッパー×しなやかなゴム底のシューズ。バルカナイズ製法でデザインにも特徴がある。男性向けのデザインのような気がする。セメント製法で貼っつけただけのローテクシューズと比較すると明らかに品質で差がある。
【Admiral】
ミツカンと同じかと思ったら上下が逆だった。この手のデザインのブランドってMobusとかマカロニアンとか無数にあるけどなんていうカテゴリーなのかわからない。クラシックではあるんだろうけど。最近はめっきり見なくなった。某プラザで販売されてるイメージ。
Time to Fly。とんでもなく分厚いソールが特徴でとくにローテクに慣れていると履いた瞬間になんだこれ!?となる。それと同時にボリュームが出るのでぼってりとしたデザイン。ランシューだがファッションで取り入れられることも多く、最近はスニーカーも販売されはじめた。
【on】
アンノーンみたいなデザインのシューズ。アウトソールに特徴があり、人を選ぶかも。こちらもランシューだがビジネスシーンで取り入れる人も多く、自分もその一人。定番モデルは見た目にボリュームがなく薄い印象のため取り入れやすいのかも。
【FILA】
現在は韓国の企業で厚底ブームに合わせて進出してきた。AKI CLASSICも似たような感じだろうか。あんまりわからん。
【SALOMON】
テック系がファッションシーンで盛り上がっていてその筆頭。タウンユースでは贅沢な機能性。アウトドアシーン向けなので履いたときの包まれ感はガチッとしている。
【MERRELL】
JUNGLE MOCが定番。自分には合わなかった。ソールがかてえ。
【KEEN】
サンダルやジャスパーシリーズが人気。フェスでよく見かける。足先にゆとりがあるデザインが特徴。
【Columbia】
アウトドアメーカーだがスニーカーも豊富。防水スニーカーなど日常使いできる選択肢を増やしてきてる印象。たまに公式を覗くとおもしろい。
PBも好きで買い漁ってる。無印良品のキャンバススニーカーが定番でよく履いてた。最近だとアルペン(DEPO)のPBがんばってる。
もう思いつかないのでこのへんで。ちなみにダンロップがライセンス品であることはあまり知られていない。
ツッコミなどなんでも歓迎です。
I am not a gambler, but I would like to stay with Ippei Mizuhara in a hotel in an entertainment district in the middle of the desert.
He and I would never gamble.
But as he grips the slot lever with his buttocks tightened, I secretly burn with jealousy as I watch the pile of medals that gradually emerge from the seat next to me.
I would shift in my seat and play poker. I try desperately to drive the anxiety from my face, to imagine the joy of victory, but I know it is pointless.
And I will return to my original seat, angry and sad.
Sometimes we will look at each other over the baccarat table. In those moments, we would tell each other our own moves in the blink of an eye, and we would take care that one of us would win.
One day one of us will be penniless and the other will bury him outside the city. Then he will write a little poem to his friend who has traveled, and then he will kill himself, having found no reason to live without a last-minute bargaining chip.
私はギャンブルの依存症ではありません、ですが、水原一平さんと一緒に砂漠の真ん中にある歓楽街のホテルに泊まりたいです。
私と彼は賭け事をすることはないでしょう。
しかし彼が臀部を引き締めながらスロットのレバーを握るとき、次第に出てくるメダルの山を、隣の席で見ていた私は密かに嫉妬の炎を燃やします。
私は席を移って、ポーカーをするでしょう。私は不安感を表情から追い出そうと、必死に勝利の喜びを想像しますが、それが無意味なことを知っています。
最終的に私は勝てないでしょう。
そして私は怒りと切なさを感じながら元の席に戻ります。
時々私たちはバカラのテーブル越しに目配せしあうことがあるでしょう。その瞬間、私たちは自分自身の手の内を、瞬きの回数で教え合い、そしてどちらかが勝てるように配慮していくのです。
ある日、私たちの一人が無一文になり、もう一人が街の外に彼を埋めます。それから彼は旅だった友人にちょっとした詩を書いて、そしてギリギリの駆け引きなしには生きる理由を見出せずに自殺するでしょう。
Could you check my sentence? Grammar and 単数形、複数形 and so on. Re write please.
I think career planning is not essential for a successful work life especially for woman. I would like to show example in Japan.
In Japan usually woman starts their carrier after graduated from the university. I saw statistics shows that woman’s salary starts from 1 to 3 million yen in the biggening. The peak of the salary will be around the age of 25 as 5 to 6 million yen. After that it will drop harshly to 100 million to 0 yen. Why we have this huge drop?
The reason is that most of Japanese woman retire after their marriage called “Hanayome Taisha” and some of them will be housewives, that means no longer to continue their carrier. However, these days it is very hard to live rely on man’s income to live in metropolis. Some of woman start working as a part timer to take care of their children while husband works fulltime and this makes woman not to be able to paid well. The statics shows that woman’s carrier restart between 30 to 35 years old but the salary will not be the peak like their 20s anymore. From these statistics, I think woman’s carrier depends on what kind of lifestyle they want.
ChatGPT
I think career planning is not essential for a successful work life, especially for women. I would like to provide an example from Japan.
In Japan, women usually start their careers after graduating from university. Statistics show that women's salaries start from 1 to 3 million yen at the beginning. The peak of their salary is typically around the age of 25, ranging from 5 to 6 million yen. However, after that, it drops sharply to 100 million to 0 yen. Why do we see this huge drop?
The reason is that most Japanese women retire after getting married, a phenomenon called "Hanayome Taisha," and some become housewives, meaning they no longer pursue their careers. However, these days it is very hard to rely solely on a man's income to live in a metropolis. Some women start working as part-timers to take care of their children while their husbands work full-time, which results in women not being paid well. Statistics show that women's careers restart between 30 and 35 years old, but the salary is not at its peak like in their 20s anymore. From these statistics, I believe a woman's career depends on the kind of lifestyle they want.
why you use women ? I used woman.
ChatGPT
I used "women" instead of "woman" because your original text seemed to refer to women in general, rather than a specific individual. When discussing women as a group, it's more common to use the plural form. However, if you prefer to use "woman" to refer to women in general, I can adjust the text accordingly.
直訳版
A long time ago, in a certain country, there was a bastard named Cinderella. The reason why she is called Cinderella is because she sprinkled her own ashes on her own head at her mother's funeral, which led to her being called the ash-coverer, which is why her real name is Cinderella. I lost
The husband who lost his wife was also a bastard, and the day after the funeral he cheated on a woman three years younger than him, had sex with her, and even got married.
I have decided. Then, to her Cinderella
She now has an older sister and a younger sister who are not related by blood.
Her sister was a bitch too, she came to Cinderella's house
After a few days, she thought, ``Wouldn't it be more convenient to have an outbuilding?'' and cut down Cinderella's mother's grave in her garden and the hundreds of years old tree that was next to her grave, and built an outbuilding. We forced construction.
One day, the bastard's family receives news of a ball from the castle. But before Cinderella could read it, her sister broke the news and said, ``There's no way you can go.'' Cinderella didn't seem to have any intention of going either, saying, ``I had no intention of going in the first place.I'd rather go to hell.''
Then, on the day her mother was admitted to the hospital to give birth, her sister went to the ball. In the garden, the construction of an outbuilding was progressing as usual.
“Let’s light a fire here and make a bonfire.”
She thought about that, but Cinderella stopped her. Suddenly, a witch appeared
``Cinderella, why aren't you going to the ball?'' asked the witch.
"What's the point of telling Teme?"
Cinderella returned with an ax in her hand
Then, for some reason, Cinderella was wrapped in a jewel-like dress.
"If you don't go to the ball, that dress will kill you. Now go."
Cinderella doesn't want to die in a place like this, so she reluctantly decides to go to the castle.
In the castle, some asshole like her sister was looking for a one-night stand and was dancing wildly. No one really praised others, and in their hearts they all seemed to think that they were the center of the world.
Cinderella didn't dance, but killed her time by smoking a cigarette at the end of her room. There, she was approached by a man wearing formal clothes that were flashier and more expensive than anyone else, and said to her, ``Miss, won't you dance?''
She is Cinderella with a cigarette in her mouth
She said, ``I only dance with the Grim Reaper and bad luck.''
she answered. For some reason, the man fell in love with her at first sight, and she said, ``Let's have some fun in the other room.Here, come.'' She tried to force Cinderella to take her to another room in the castle. However, Cinderella pressed the cigarette she was holding into her hand.
"Her hand slipped," she laughed.
When she pressed the cigarette, the sound in her voice was so pitiful that no one tried to get close to him or dance with him. Of course, no one even knows that such a pitiful man is the prince who owns this castle.
Eventually, she had enough, Cinderella threw her shoes on her stairs and went back to her house in her bare feet. Her shoes were made of glass, so they shattered into pieces.
The next day, while her servant was cleaning the castle, she found one shoe on the stairs. Obviously thinking this was strange, she secretly examined her shoes and discovered that they had been smeared with a deadly amount of poison.
Rumors spread within the castle that this must be an attempt to kill the prince, and soon a large-scale investigation was conducted. Even though it's a survey, it's simple.
The idea was to create a replica of a shoe and imprison the person who matched it perfectly as a suspect.
And one after another, people were imprisoned just because of their size. Some of them had not been to the ball, but they thought it must be a lie and were forcibly taken away.
Eventually, an investigation came to Cinderella's house. That's when we all looked at her mother and child after she was discharged from the hospital, and of course her sister didn't fit.
So all that was left was Cinderella. Then, her sister said to Cinderella, ``Hell suits you better than this world.''
She was of course the perfect size for Cinderella.
However, she protested her innocence, saying that I hadn't gone to the ball and there was no dress anywhere in the house to prove it.
However, the prince showed him an empty pack of cigarettes that had been discarded in a trash can and said, ``This is the same brand that the criminal was smoking that time.Why?''
I unbuttoned all the buttons on her jacket.
She said, ``After all, I feel like dancing with the Grim Reaper. Right, little prince?'' she said.
By the time the princes realized it, it was already too late.
The grenade that fell at his feet blew up Cinderella and the prince.
The time was around noon. Bells rang throughout the city and residents prayed for lunch.
The flying fragments of the shoe became a weapon, a sad fragment that could only hurt someone, and no one could imagine its original form.
end
SUPER MARIO THEME, in the Styles of 6 Classical Composers
https://www.youtube.com/watch?v=O0FsrzxElrE
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Timestamps:
00:00 Original Theme by Nintendo (Koji Kondo)
00:31 In the style of J.S. Bach
01:00 In the style of Mozart
01:31 In the style of Beethoven
01:55 In the style of Liszt
02:23 In the style of Rachmaninoff
03:05 In the style of Gershwin
Note: I played slightly different chromatic notes and rhythms than in the original version when I play the main theme.
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original story as written by Hans Christian Andersen から リトルマーメイドになった時点では欧州大西洋（北部）の話だったみたいだが、2023版はカリブ海あたりに舞台が移されている
そこでは、ご当地風味の演出として民衆が出てくるミュージカルシーンで楽器「スティールパン」によって曲が演奏されている
「BGMにスティールパンの音がする」ではなく、明確に人間族がスチールパンを叩いている映像が見られる
スティールパンは白人の奴隷抑圧、から生まれた楽器なのは譲るとして
「トリニダード・トバゴはイギリス領となりましたが、黒人奴隷たちの待遇は相変わらず最悪なもので、しばしば植民地の政府や警察相手の暴動が発生。
その発生は「カーニバル」の時期に決まって起こっていました。
キリスト教の謝肉祭の文脈と、アフリカの楽器を用いた祝祭の伝統が融合してできたものなのですが、興奮して盛り上がりすぎて日ごろの鬱憤が全部出てしまい、暴動に発展するケースが多々あったのです。1880年、イギリス植民地政府は「カーニバル暴動」を取り締まるため、金属の棒を用いるパーカッション音楽を全面禁止にしてしまいました。
黒人たちは、竹の棒を使ってフライパンやドラム缶を叩いて音楽を楽しみ始めました。それをタンブー・バンブーといいますが、しばらくしたらそれすら当局によって禁止されてしまいます。」
「1939年、ウィンストン・スプリーという人物がボロボロになったドラム缶を叩いて直そうとしたところ、凹んだ箇所によって異なる音が出ることを発見。スティールパンの元となる楽器を偶然生み出し、一躍黒人の間に広まります。
これが有名になったのは1941年。」「このような発展から「20世紀最後にして最大のアコースティック楽器発明」と呼ばれており（要出展）」
スティールパンが存在するのは、本来ならば20世紀以後。現在も職人の高度な技術によって製造されている。
馬車と帆船が移動手段なのにスティールパンが存在するリトルマーメイド世界は、幕末にシンセサイザーを演奏する武士がいる江戸みたいな世界だということになる。（BGMにシンセサイザーの音が聞こえる映画ではない）（自動車は19世紀には実用化されている）