Outlook - はてな匿名ダイアリー

2025-02-10

■anond:20250210150049

outlookで31日で登録してるけど31日無い月は月末になるやで。

Permalink | 記事への反応(0) | 15:04

2025-02-04

■パワハラで譴責 処分された話

今年度入社した新卒の教育係をすることになった。

新卒は秋頃に配属され、年末年始の休み明けから会社に来なくなった。

とりあえず本人が寮にいることを工場の人事が確認できたので、そこまで心配はしておらず、「年末忙しかったところに9連休挟んだら来たくなくなるよなー」と同僚と呑気に話していた。

新卒が来なくなってから一週間が経った頃、Outlookに本社の人事から非公開の会議案内が入り、かなり悪い予感がした。

本社の人事と面談したところ、案の定、新卒は私のパワハラのせいで会社に行けないと言ってるらしい。

人事が言うには、Excel 作業をしている時にショートカットを使わないことを叱責したこと、また、年末に行ったフィードバック面談で仕事の遅さを叱責したことがパワハラにあたるらしい。

Excelで作業をする際、新卒はショートカットを全く使わないので仕事が遅い。一緒に作業をしている時に「コピペはコントロールCとコントロールVでできるよ」や、「同じ作業繰り返すならF4でできるよ」などと言ったことは一度や二度ではない。

それに、年末のフィードバック面談でも、「仕事丁寧にやってくれるのはいいこと。今後はスピードも上げていこう」という旨のフィードバックを与えた。

正直、上の2つがパワハラになってしまうのなら、指導なんて何もできないじゃないかと人事に食い下がったが、人事によると本人がパワハラだと感じたらそれはパワハラらしい。

私が事実を認めたことで、本社内で私の処分が話し合われ、処分の中では最も軽い譴責処分で収まった。

譴責処分になったことを伝える際、人事が今回は大目に見てやる、という態度だったのが無性に腹立たしかった。

やってらんねー

Permalink | 記事への反応(2) | 17:35

2025-02-02

■Chatgptが答えた異星人の存在 可能性とのそのロジック

Please consider the histroy of human ity 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

Reas oned 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 candid ate.

Identifying potential candid ates

I'm considering exoplanets like Proxima Centauri b and TRAPPIS T-1e, which might suggest they are within or observed from our Solar System.

Assessing potential candid ates

I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIS T-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 TRAPPIS T-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candid ates for advanced civilizations.

Assessing habitable zones

I'm gathering info on planets like Proxima Centauri b and TRAPPIS T-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 TRAPPIS T-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.

Charting speculative odds

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, TRAPPIS T-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. TRAPPIS T-1 e, f, or g are also worth considering.

Revis iting exoplanet options

I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIS T-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 TRAPPIS T-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 TRAPPIS T-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 TRAPPIS T-1 e.

Clarifying speculative nature

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.

Mapping out speculative odds

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 complex ity and simplifying for an 8-year-old's understanding.

Assessing likelihoods

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 a dding 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 candid ate exoplanets. Remember: Scientists have not yet found any proof of life (let al one 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%

TRAPPIS T-1 e ~1.5%

TRAPPIS T-1 f ~1%

TRAPPIS T-1 g ~1%

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.

Nearby Exoplanets:

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 candid ates. That’s why we give it a slightly higher guess (~2%).

TRAPPIS T-1 System (e, f, g):

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.

A Final Note

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

Reas oned about the Drake Equationを6 秒行う

re-examining the Drake Equation

evaluating the Drake Equation's value

Clarifying the Drake Equation

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.

Assessing the Drake Equation

Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its crit ic ism to conclude on its reliability as an accurate pred ictive 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 pred icting 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, pred ictive formula. Let’s break down why:

The Drake Equation

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:

Well-Known Parameters:

Some factors, like

𝑅

∗

R

∗

(star formation rate) and

𝑓

𝑝

f

p

(fraction of stars with planets), have become better known through modern astronomy.

Highly Speculative Factors:

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 stat istic ally 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.

Heuristic, Not Pred ictive:

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 mathemat ical model with well-defined inputs and pred ic table outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.

Opinion-Based?

Many of the terms in the equation, especia lly 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.

Conclusion

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 pred iction 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

Reas oned 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.

Reflecting on potential

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 pred ictions of the Drake Equation.

Analyzing parallel evolution

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.

Evaluating life exploration

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.

Adapting the equ Permalink | 記事への反応(0) | 21:12

■Chatgptが答えた異星人の存在 可能性とのそのロジック

Please consider the histroy of human ity 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

Reas oned 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 candid ate.

Identifying potential candid ates

I'm considering exoplanets like Proxima Centauri b and TRAPPIS T-1e, which might suggest they are within or observed from our Solar System.

Assessing potential candid ates

I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIS T-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 TRAPPIS T-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candid ates for advanced civilizations.

Assessing habitable zones

I'm gathering info on planets like Proxima Centauri b and TRAPPIS T-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 TRAPPIS T-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.

Charting speculative odds

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, TRAPPIS T-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. TRAPPIS T-1 e, f, or g are also worth considering.

Revis iting exoplanet options

I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIS T-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 TRAPPIS T-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 TRAPPIS T-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 TRAPPIS T-1 e.

Clarifying speculative nature

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.

Mapping out speculative odds

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 complex ity and simplifying for an 8-year-old's understanding.

Assessing likelihoods

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 a dding 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 candid ate exoplanets. Remember: Scientists have not yet found any proof of life (let al one 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%

TRAPPIS T-1 e ~1.5%

TRAPPIS T-1 f ~1%

TRAPPIS T-1 g ~1%

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.

Nearby Exoplanets:

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 candid ates. That’s why we give it a slightly higher guess (~2%).

TRAPPIS T-1 System (e, f, g):

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.

A Final Note

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

Reas oned about the Drake Equationを6 秒行う

re-examining the Drake Equation

evaluating the Drake Equation's value

Clarifying the Drake Equation

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.

Assessing the Drake Equation

Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its crit ic ism to conclude on its reliability as an accurate pred ictive 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 pred icting 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, pred ictive formula. Let’s break down why:

The Drake Equation

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:

Well-Known Parameters:

Some factors, like

𝑅

∗

R

∗

(star formation rate) and

𝑓

𝑝

f

p

(fraction of stars with planets), have become better known through modern astronomy.

Highly Speculative Factors:

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 stat istic ally 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.

Heuristic, Not Pred ictive:

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 mathemat ical model with well-defined inputs and pred ic table outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.

Opinion-Based?

Many of the terms in the equation, especia lly 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.

Conclusion

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 pred iction 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

Reas oned 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.

Reflecting on potential

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 pred ictions of the Drake Equation.

Analyzing parallel evolution

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.

Evaluating life exploration

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.

Adapting the equ Permalink | 記事への反応(0) | 21:12

2025-01-27

■anond:20250127151526

サポートは去年の9月16日まででしたって。

hotmailに代わるフリーメールに引越ししましょう。

gmail　　outlook　　yahoo

aolとかもメールはフリーで使えるよ。新規登録も調べれば出来ますよ。

Permalink | 記事への反応(1) | 15:44

2025-01-21

■anond:20250121191344

俺の頭が悪いせいでWindowsのアップグレードでデータを引き継がずにやってしまい上司のクライアント PCのデータ全部吹っ飛んだことがある。

Outlookのデータ15年分なくなって上司は真っ白になっていた。

更新した後のWindows.oldとかいうフォルダーは俺が無駄なデータだと思い消した。

バックアップはない。

HDDじゃなくてSSDなので復元もできなかった。

俺は増田一の無能。

Permalink | 記事への反応(2) | 19:19

2025-01-15

■N〇Cの変質者の面談があったようだが

Outlookの座席表ぽちぽちの昭和土人が大興奮したんか

吉田〇作「ノースキルでフィニッシュです」

Permalink | 記事への反応(0) | 16:12

2024-11-09

■MacのアプリはWindowsの数歩先を行っている

両方使っていてそう思う。未だにOutlookやEvernoteを使っているのはWindows ユーザー。

Permalink | 記事への反応(1) | 21:04

2024-10-11

■anond:20241010135030

同じ部署のい先輩に用事があって電話しようとしてその先輩の予定をoutlookで確認したらちゃんとした表記はわすれたけど"非公開の予定1.5時間"ってのが入ってて、ちょうどもうすぐその予定の時間だったから

急いで電話して要件話してたら、ごめん歯医者だから切るわ～って言われた。

非公開の予定の後にも普通に仕事の予定入ってたから上長にも報告せずに歯医者行ってたんだろうな。

そんなもんじゃないかな？

当然正直に上長に相談したら有給使えよって言われるだろうけど

みんなの会社ってそんなに会社に監視される仕組みなの？

転職怖くなるわ。

Permalink | 記事への反応(0) | 05:23

2024-09-21

■anond:20240921113954

ワイはgmailとoutlookで15個くらいメアド作って用途ごとに使い分けてるやで。

Permalink | 記事への反応(2) | 11:46

2024-08-19

■子ども1歳半のママ、チキチキ飲み会にいけるかレース

職場の歓迎会に誘われた

職場結婚で別部署ではあるが業務でも知らない仲ではない旦那に預けてみたら？たまには…とお偉いさんから直々に誘ってもらったもので、まるっと旦那に伝えてみれば、お偉いさんの名前が効いたのか当日は在宅してくれるってOKが出た。

出産以来初めての職場の飲み会だ。うれしい。（別に言うことじゃないが旦那はしょっちゅう飲み会に行ってる。付き添いや遊びや様々な）（そして私も日中に預けて遊びに行くことは何度かあった。平日の夜に行くのが初めてなのだ）

1か月以上前から言ってるから、忙しい旦那も調整できたのかもしれない。ありがとううれしい！

Outlookでわざわざ検索したら旦那のその日の予定が在宅になっていた。準備万端だ！

……とか言ってたら一週間前になって「当日って午前中は出社したらダメかな？」と言ってきた。いやなよかん。

「子供は日中保育園に行くんだから預けてる間は好きにすればいいんだけど、えっと、18時には必ず迎えに行けるようにしてね？」

会社はドアtoドアで2時間弱だから出社する時間がもったいない気がするが。

「さすがに18時にはたぶん行けると思う！調整してみる」

は？

たぶんってなに。調整って今からするの？一か月前のやつは調整じゃないのか？

ある程度保育園にお迎えに行く時間って決まっているし、ここを過ぎたらどんどん寝る時間が後ろ倒しになる。物理的に18時迎えが限界だ。家から 3分の保育園。帰ってきて即、私が朝準備しておくレトルトのお弁当を食べさせて、お風呂に入れて、牛乳を飲ませて、歯磨きさせて、鼻水を吸引器で吸い取って、寝させる。ここまでノンストップじゃないと無理。