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2025-03-02

anond:20250220134419

BigList<T>の内部で使われているやつをGapBuffer<T>に置き換えてみたら、リーフノードサイズが32768だと遅くなるけど、最大メモリー使用量はそこまで変わらんな。

ブロックサイズ:32768

benchmark start

Allocated GC Memory:60,232bytes

add time:787 ms

Allocated GC Memory:199,389,088bytes

replace 1 time:4064 ms

Allocated GC Memory:199,404,752bytes

replace 2 time:6023 ms

Allocated GC Memory:368,390,176bytes

replace 3 time:4133 ms

Allocated GC Memory:368,390,176bytes

enumratotion time:557 ms

Allocated GC Memory:368,390,320bytes

clear buffer

Allocated GC Memory:83,992bytes

ブロックサイズ:392

benchmark start

Allocated GC Memory:60,232bytes

add time:1173 ms

Allocated GC Memory:332,559,240bytes

replace 1 time:4882 ms

Allocated GC Memory:332,583,016bytes

replace 2 time:4928 ms

Allocated GC Memory:369,076,056bytes

replace 3 time:4683 ms

Allocated GC Memory:369,076,056bytes

enumratotion time:565 ms

Allocated GC Memory:369,076,200bytes

clear buffer

Allocated GC Memory:83,992bytes

ただ、ブロックサイズを32768にしても、最大で1.2倍程度しか遅くならず、文字数が変わらないなら、2割程度早くなるので、ブロックサイズをある程度大きくした方がいいようだ

2025-02-24

さて、これは誰のことだと思う? ヒント:ランスシリーズキャラ

Character Description Script

This is a detailed description of an anime-style female character, designed for use in generating illustrations or animations with various poses. The character embodies a cute, energetic, and slightly quirky personality, fitting a schoolgirl or tech-savvy theme. Here are the key features:

Hair:

Long, straight, platinum blonde hair that extends past the shoulders, reaching mid-back.

Hair is parted in the middle, with two high ponytails on either side of the head.

Each ponytail is tied with large, red, mechanical or robotic-style hair accessories resembling small, spiked or angular devices (possibly hinting at a tech or sci-fi theme).

The hair has a smooth, glossy texture typical of anime art, with slight highlights to emphasize its brightness.

Eyes:

Large, expressive green eyes, typical of anime-style characters, with a gentle upward curve at the corners, giving a friendly and cheerful expression.

The eyes have visible eyelashes and a subtle sparkle or shine, enhancing the cute and youthful appearance.

Skin:

Fair, smooth skin with a soft, rosy blush on the cheeks, adding to the character’s youthful and lively vibe.

Outfit:

Wears a green school blazer with a white dress shirt underneath, typical of Japanese school uniforms (seifuku style).

The blazer has a structured, slightly oversized fit, with rolled-up sleeves, giving a casual yet stylish look.

A purple plaid skirt with ruffled edges, complementing the schoolgirl aesthetic while adding a playful touch.

A purple backpack with colorful, cartoonish patterns or stickers (possibly featuring small, chibi-style characters or tech motifs) slung over one shoulder.

Black knee-high socks and dark shoes, completing the school uniform look with a neat and tidy appearance.

Accessories:

Holding a black camera with both hands, positioned in front of her chest, suggesting she’s a photography enthusiast or documenting something.

A small, chibi-style plush toy or mascot character (with spiky orange hair and a mischievous grin) attached to her backpack, adding a quirky and playful element.

The red mechanical hair accessories on her ponytails, which have a futuristic or robotic design, possibly glowing faintly or featuring small LED-like details.

Pose and Expression:

Currently in a seated or slightly crouched pose, with legs bent and one knee raised, giving a relaxed and approachable demeanor.

Smiling softly with a closed-mouth smile, exuding warmth, friendliness, and a hint of curiosity or excitement (fitting for someone holding a camera).

The overall body language is lively and dynamic, with a slight tilt of the head, emphasizing her youthful energy.

Background and Context:

The character appears in a clean, minimal background (possibly white or light-colored) to keep the focus on her, but she could fit into a schoolyard, tech lab, or urban setting with cherry blossoms or modern buildings, reflecting a blend of traditional Japanese culture and futuristic themes.

The lighting is soft and natural, with slight shadows to add depth, maintaining an anime-style aesthetic.

Personality and Theme:

The character suggests a blend of innocence and tech-savvy curiosity, possibly a schoolgirl with an interest in photography, robotics, or pop culture (inspired by the mechanical hair accessories and camera).

Her overall design balances cuteness (chibi plush toy, school uniform) with a modern, quirky edge (tech accessories, camera).

This script can be used as a base for generating images or illustrations of this character in various poses, such as standing, walking, taking photos, interacting with others, or exploring different environments. Adjust the pose, background, or additional props (like different camera angles or tech gadgets) as needed for specific scenes.

2025-02-20

ある人が書いたBigListを改造して、リーフノードリンクリストでつないだら全列挙が早くなって、スタックオーバーフローしなくなった。

ただ、その代わり元々のコードにあったノードの共有機はいらなそうなので省くことにした。

Core i5 10400F、メモリー16GBで、100文字×100行=1億文字を突っ込んで、あれこれ操作した場合はこのくらいの速度で動く。

benchmark start

Allocated GC Memory:60,392bytes

add time:1728 ms

Allocated GC Memory:416,037,968bytes

replace 1 time:5776 ms

Allocated GC Memory:416,082,104bytes

replace 2 time:5694 ms

Allocated GC Memory:416,082,272bytes

replace 3 time:5196 ms

Allocated GC Memory:416,082,296bytes

enumratotion time:1179 ms

Allocated GC Memory:416,082,440bytes

clear buffer

Allocated GC Memory:82,360bytes

Finished.Hit Any Key

https://github.com/rirufa/FooList

ListやGapBufferだとGCに優しくないけど、BigListだとLOH入りしないので、GCに優しいのだ。

その代わり速度はBigListの中身はRopeなので、少し遅くなるのだ。

Ropeで、リーフノードリンクリストでつないだ場合、挿入と削除、追加、ランダムアクセスはO(Log N)、全列挙はO(N)なのだ

MITライセンスなんで商用でも問題ないけど、元々のBigListのライセンスに不穏なことが書いてあったので、気になるなら、自分で書き直したほうがいい。

元々のBigListはこの本を参考にしたようなのだ

The rebalancing algorithm is from "Ropes: an Alternative to Strings", by

Boehm, Atkinson, and Plass, in SOFTWARE--PRACTICE AND EXPERIENCE, VOL. 25(12), 1315–1330 (DECEMBER 1995).

https://www.cs.tufts.edu/comp/150FP/archive/hans-boehm/ropes.pdf

2025-02-04

http://hvivi.dyndns.org/sse/replaceAll.html

さくさくエディタのまねをして全置換えでベンチマークを取ってみた。

benchmark start

Allocated GC Memory:60,392bytes

add time:1996 ms

Allocated GC Memory:440,048,840bytes

replace time:10779 ms

Allocated GC Memory:440,082,632bytes

replace time:10682 ms

Allocated GC Memory:440,082,656bytes

clear buffer

Allocated GC Memory:82,280bytes

Finished.Hit Any Key

ベンチマークソースコード

https://github.com/rirufa/FooList

Rope<T>は削除と置き換え、文字列ランダムアクセスがO(log N)なのでさくさくエディタに比べると遅い。

それでも秀丸Meryよりは早いが…

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 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.

Assessing habitable zones

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.

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, 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.

Revisiting exoplanet options

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.

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 complexity 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 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 thatbased 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%

TRAPPIST-1 e ~1.5%

TRAPPIST-1 f ~1%

TRAPPIST-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 candidates. That’s why we give it a slightly higher guess (~2%).

TRAPPIST-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

Reasoned 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 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 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 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.

Heuristic, Not Predictive:

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.

Opinion-Based?

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.

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 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.

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 predictions 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 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.

Assessing habitable zones

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.

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, 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.

Revisiting exoplanet options

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.

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 complexity 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 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 thatbased 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%

TRAPPIST-1 e ~1.5%

TRAPPIST-1 f ~1%

TRAPPIST-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 candidates. That’s why we give it a slightly higher guess (~2%).

TRAPPIST-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

Reasoned 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 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 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 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.

Heuristic, Not Predictive:

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.

Opinion-Based?

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.

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 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.

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 predictions 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

2025-01-26

Wintellect.PowerCollections.BigListくそ早いな。

100万行×100文字追加して、3文字削除の3文字挿入、3文字削除の4文字挿入やったが、xyzzyぐらいの速度は出た。

ただ、さくさくエディタには勝てんな。

BigListの内部で使われてるRope性質なので仕方ないか

benchmark start

Allocated GC Memory:60,616

add time:1370 ms

Allocated GC Memory:344,041,272

replace time:6541 ms

Allocated GC Memory:344,101,024

replace time:8153 ms

Allocated GC Memory:688,101,192

clear buffer

Allocated GC Memory:100,808

Finished.Hit Any Key

2025-01-14

anond:20250113194810

ADD = Anal Driven Development

最近流行はこれ

尻を開発するんだ

2025-01-09

anond:20250109171248

試しに98文字の追加と3文字削除して3文字挿入、3文字削除して4文字挿入をそれぞれ10万行繰り返してみた。

ADD:1984ms

REPLACE(3 char):8942ms

REPLACE(3 char to 4 char):23792ms

最大メモリー使用量:182MB

自作のBPlusTreeをListとして使えるようにしたやつよりも文字数が増えるパターンでは遅い。

わかったこ

GapBufferくそ強い。

viviエディターの作者が提唱した局所的行更新のやり方を使うと大体の場面ではO(1)で済ませられる。

ただ、C#だとNaitiveMemoryArrayがstructとcharなど一部の型に限定されるので、クラス設計をどうするのかという問題が出てくる。

メモリーに入りきらないような巨大ファイルだとBPlusTreeに放り込んでうまいことやったほうがここら辺は楽だが、キーテキストエディターの場合は1-64みたい範囲であることが多い)に何かしらの値を足さないといけないので、遅くなる。

VisualStudioCodeの中の人ウサギの穴と言っていたが、まさにその通りだ。

テキストエディターのデータ構造周りは沼だ。

そして、GapBufferは比較簡単データ構造だけど、早いし、実装するのが比較的楽なことが分かった。

2024-12-20

B+TreeにIListの皮をかぶせてテキストエディターでよく使うバッファー周りを書いてみた。

https://github.com/rirufa/FooList

core i5 10400Fでのベンチマーク結果だが、

benchmark start

add time:388 ms

replace1 time:15976 ms

replace2 time:16992 ms

add:"this is a pen.this is a pen.this is a pen.this is a pen.this is a pen.this is a pen."を10万行追加

replace1:penをcatに置き換え

replace2:catをratkingに置き換え

ぐらいで、秀丸にも歯が立たない

B+TreeListではこんなもの

2024-12-07

anond:20241206121542

自分の子供がASD(遺伝つよつよ)なのに、それでも自分自身の親から生育歴とか聴取しないと診断も下りないのかよ

WAISだけじゃ駄目なのかよ

というか、あなたASDなのかADHDなのか。WAIS受けるまでもなくメンクリレベル医者でも分かるでしょ

ADHDADDだったらメンクリレベルでもストラテラくらい出してくれる(信念の無い処方医だったらコンサータもいけるかも)

良い医者見つかるまでレッツショッピング

2024-11-25

天涯孤独メンヘラ女、離婚をしたい

追記:11/26ココから

反応ありがとうございます

役所には市民相談へ行くつもりだけどどのみち弁護士を雇うとなってもまとまった費用の捻出が難しいので分割や安価で動ける手段がないかアドバイスを聞いてみたい

生活保護増田中途半端給与を得ているので対象にならないんだ… スキル的にも転職したとて給与が上がる事にはならない(現職は障害者雇用の中ではマシな方だとは思っている)

神待ちは二十代前半ならともかく30をとっくに超えたメンヘラ女を拾う神居ると思う???

余程の爆美女ウンコも食う位なんでもするようなレベルでないと拾わなくない??

とお察しの通り無理無理うるさいクソ女の自覚はあるしマトモな社会生活もままならないのでこれ以上社会の迷惑になる前になる早で死ねるように不健康に過ごしているところです。

夫の人生狂わせて申し訳ない。

追記ココまで】

タイトルの通りの状況なのだが、増田事情によりハイ離婚届書いて離婚成立〜!とは簡単はいかなそうなので似たような離婚歴のある方の知見を得たく。

記事を書くのも初めてのため稚拙な箇所も多いかと思うが経験者の目に留めていただけることを願いつつ、以下に経緯を綴っていく。本筋に影響が極力出ない範囲フェイクあり。

経緯

増田

典型的機能不全家庭出身、モロ両親から遺伝ADD+二次障害の鬱持ち、精神手帳持ち

仕事フルタイムだが障害者雇用のため大した収入はない

結婚時に連絡先を全て絶ち血縁者全員とは実質絶縁状態、出来うる限りの対策を取り増田の身元が血縁者に割れない状態

ごく一般的な家庭出身

家族仲も良好(上記家庭出身からしたら余程の余程でない限りどの家もマトモな部類になると思うが)

大卒新卒入社した企業現在も勤続勤務中

結婚相手側の親類が増田事情理解してもらえたことによりすんなり。

お互い20代の頃に籍を入れ10年ほど経過、子ども増田の生育環境由来のトラウマと鬱によりまずマトモに育てるのは無理という主張をしており夫も納得の上選択小梨として過ごしていた。

増田メンタル面での体調問題は定期的にあるものの、目立つような夫婦喧嘩もなく平穏暮らしていたが二年ほど前から夫側レスが始まり、話し合いを経た末に風俗通いが発覚、

その結果生理的に夫を受け入れられなくなり今年に入り別居を開始している←イマココ

夫は実家へ、増田夫婦生活していた賃貸マンション現在生活中。

懸念

増田には夫含め親族一同に多大な恩があり、拾って貰った立場として離婚を言い出せない

更に、増田には帰る場所が無いため離婚が成立したとて直ぐに新天地ないし戻れる拠点もない

恥ずかしながら増田には手持ちの預金殆ど無く、元々共有財産としていた夫婦預金100万程しか無いため幾らか貰えたとしても独りで生活出来るだけの拠点を作れるかが不安

金銭面だけでなく、現在の状況から精神がかなり悪化しており希死念慮も日に日に悪化してきているためそもそも一人暮らし自体現実的に無理なのでは、生理的に無理でも夫でもなんでも他人が居ないとそのまま死ぬのでは、と延々と悩んでいる

結局どうしたいのか

増田離婚成立したら二度と再婚はしないし誰の子供も産むつもりも育てるつもりもなく、一人で生きていけるだけの仕事をし早めに死ねれば(メンヘラ以外にも複数の持病があり、健康寿命は恐らく平均値より短い)それでいいです。

メンヘラ希死念慮もあるが、なるべく自死は避けたいのでとにかく環境から来る鬱を治して精神を安定させたい

やはり金が無さすぎるのがネックになっている気がする、あと夫が復縁したがっているのは正直しんどい

2024-09-07

anond:20240907033653

めっちゃわかりやすADDじゃん

こんな肥溜め相談してねえで発達障害相談所行ってありのまま話して早いとこ療育につなげたほうがいいぜ

2024-07-21

anond:20240721134326

14本ですね。

順位アーティストジャンル
1 SUPERNATURAL NEWJEANS K-POP
2 DARUMADARUMAS
3 本日おすすめ離婚伝説
4 FEELSLIKEIMFALLINGINLOVECOLDPLAY
5 BURNING 文学
6 EARTH, WIND AND FIRE(JAPANESE VER.) BOYNEXTDOOR K-POP
7 SMALL GIRLLEE YOUNG JI FEAT. D.O.K-POP
8 EVERY HOUR SALA K-POP
9 EVER SEEN BEABADOOBEE K-POP
10HUSH HUSH BE:FIRST × ATEEZ K-POP
11 HOT UPTOWN CAMILA CABELLO FEAT. DRAKE
12 踊りませんか? AILE THE SHOTA
13 透明 RLOEVO
14 ラッキーカラーあいみょんK-POP
15 ROCKSTAR LISA
16 MUM CHILLI BEANS.
17GOOD MORNING a子
18 UNDEAD YOASOBI
19 触れる唇 XINU
20WOMAN'S WORLD KATY PERRY
21 LIFT YOU UP JESSIE WARE & ROMY
22 OVALL FEAT. さら
23PERFUME PALE WAVES
24GOOD TOGETHER LAKE STREET DIVE
25 YOUNG MAN HYUKOH, 落日飛車K-POP
26 MY BODY IS CUTE 詩羽
27 ADD UP MY LOVE CLAIRO
28 RAZE THE BARTRAVIS
29 BAD LOVE GODHOPE TALA
30 DREAMBEND KESSONCODA
31 HOT MESS AESPA
32 SHARONOFFICIAL髭男DISM
33 SMERALDO GARDEN MARCHING BAND JIMIN FEAT. LOCO
34 ホムンクルス VAUNDY
35 YATTAAMAN MISIIN
36 恋のブギウギナイトサザンオールスターズ
37 赤猫 水曜日のカンパネラ
38 イリーストーン名子
39 DIVE TWICE K-POP
40 DUSKY DOLPHIN NATSUDAIDAI
41 POUR ME A DRINK POST MALONE FEAT. BLAKE SHELTON
42 NEVER LET GO JUNG KOOK K-POP
43 BIRDS OF A FEATHER BILLIE EILISH
44 HOW SWEET NEWJEANS K-POP
45 私のモネLILY
46 ふたりBGMGOOD BYE APRIL FEAT. 土岐 麻子
47 LUV STUCK SALUTE AND PIRI
48 うつつ鈴木 真海
49 DONE WITH YOUOMAR APOLLO
50 THE RAIN THE BURNING DEADWOODS FEAT. KENTA DEDACHI
51 TIMEOLIVIA DEAN
52 SHIKATO!!! NOVEL CORE
53 FOREVER BABYMONSTER
54 LIFT OFF! SALUTE, DISCLOSURE
55 マーメイド水曜日のカンパネラ
56 若者のすべて SUIS FROM ヨルシカ
57 あつまれ MONJE
58 RIGHT NOW NEWJEANS K-POP
59 SISTERチョーキューメイ
60 SIDE QUEST PEARL & THE OYSTERS
61 DON'T MFS
62 君はハニーデュー 日向坂46
63 RED今市 隆二
64 MAGNETIC ILLIT K-POP
65 OONTZ MICHELLE
66 毎日 米津 玄師
67 アイワ 冨岡 愛
68 DANCE WITH THE DEVIL BLXST AND ANDERSON .PAAK
69 EVERYTIME BAKAR FEAT. LANCEY FOUX
70 SHE'S GONE, DANCE ON DISCLOSURE
71 CUBISM OVALL
72 WHITE LIES NEWSPEAK
73 BUBBLE GUM NEWJEANS K-POP
74 鬼ノ宴 友成
75 LITHONIA CHILDISH GAMBINO
76 HEAVENLY HELL STEVE AOKI FEAT. NE-YO
77 YELLOW BIG HEADER ピーナッツくん
78 あなたへ手紙スガシカオ
79 SEXY TO SOMEONE CLAIRO
80 ECHELON80KIDZ, SASCHA
81 LOSE MY FOCUS RAVEENA
82 SAY KESHI
83 SO GOOD REIKO
84 RISK GRACIE ABRAMS
85 REALLY LOVE今市 隆二 FEAT. HIROMITSU KITAYAMA
86LOVE BANDITZ OWV
87 CINDERELLA REMI WOLF
88 BLAZE三代目 J SOUL BROTHERS FROM EXILE TRIBE
89 HOW FAR IS YOUR LOVE SURFACES WITH LOS LONELY BOYS
90 FANTASYDEF TECH
91 一日花東京スカパラダイスオーケストラ FEAT.IMASE&習志野高校吹奏楽部
92 NO PROBLEMS GINGER ROOT
93 GOOD LUCK, BABE! CHAPPELL ROAN
94 CITY HABITS BRKFSTBLEND
95 モウショ YAMORI
96 I HAD SOME HELP POST MALONE FEAT. MORGAN WALLEN
97 HOT TO GO! CHAPPELL ROAN
98 ハチ 折坂 悠太
99 I'M FREE PARIS HILTON & RINA SAWAYAMA
100 STEP BY STEPTAIKING FEAT. 荒谷 翔大

2024-06-29

anond:20240629114150

占いにそんなこと言われても(整合性を求められても)だが、フツーにこう言う感じやで?

 

 

ADHD ENTP で検索する
https://www.google.com/search?q=ADHD+ENTP 

ENTP(討論者)の取扱説明書恋愛観〜キャリアと適職などを ...

note

https://note.com › mbti_brain16

note.com からADHD ENTP

2022/12/11 — 【ADHD(多動症)やADD(注意欠陥障害)の可能性が最も高い】. これらの弱みが組み合わさることで、ENTPさんは、比較ADHDADDの傾向が強いとされます単一 ...

 

 

先生 on X: "ENTP、ADHD説明書だと思ったけど

X · Dr_murasaki_

評価 70+ 件 · 2 年前

twitter.com からADHD ENTP

ENTP、ADHD説明書だと思ったけど、意外とADHDで1番多いのはINFPだった。 絶対ADHDアスペであろう身近な人はINFPだった。 ノリで本格的なIQテスト ...

   

 

Entp Adhd 多い

TikTok

https://www.tiktok.com › Discover

75M件の投稿。Entp Adhd 多い関連の動画TikTokで探そう。 Entp and Adhd, Adhd何型が多い, Adhdけが見える, Que Es Adhd, Iep for Adhd, Adhdあるあるに関する動画 ...

 

 

ENTPとADHDASD/アスペルガーなどの発達障害関係を ...

生きづらさ×MBTI

https://minoritymbti.com › MBTI

2021/08/25 — ENTPは優勢機能に外向的直感(Ne)というADHD親和性の高い心理機能を持っているため、ADHDの特徴に当てはまる人が比較的多いタイプです。

2024-05-03

anond:20240503205149

なるほど確かにその通りですね。

意固地になって謝罪を固辞し続けて大変申し訳ございませんでした。

僭越ながらわたくしめがフェミニスト代表して土下座謝罪させていただきます

その方法として古代中国より伝わる「三跪九叩頭の礼」で謝意を表させていただきます

なお、冗長した記述を避けるためにプログラミング言語COBOL」を用いることを予めご了承ください。

IDENTIFICATION DIVISION.

PROGRAM-ID. SANGUIKIUKOUTOU.

ENVIRONMENT DIVISION.

CONFIGURATION SECTION.

DATA DIVISION.

WORKING-STORAGE SECTION.

01 DOGEZA-CNT PIC 9 VALUE 0.

PROCEDURE DIVISION.

MAIN.

    PERFORM 3 TIMES

        DISPLAY "GUI"

        PERFORM 3 TIMES

            ADD 1 TO DOGEZA-CNT

            DISPLAY DOGEZA-CNT "KOUTOU"

            DISPLAY "CHI"

        END PERFORM.

        MOVE 0 TO DOGEZA-CNT

        DISPLAY "CHIRAI"

    END PERFORM.

STOP RUN.

END PROGRAM SANGUIKIUKOUTOU.

以上を持ちまして「三跪九叩頭の礼」とさせていただきます

御清聴ありがとうございました。

2024-03-29

空白12職歴無し35歳Wワーカーワイ、休日午後

今日はしっかり寝たいだけ寝て7時から低山を走るも最初階段心臓バクバク、両ひざに手をつきゼェハァ

嘘だろおまえ歩いて登ると余裕なのに走ると一気に心臓に来やがって

おもしろいじゃねえかアアアアアアアアア!!!!!!

気合を入れて走るも泥で滑り心を折られる(ちな前日は軽めの雨)

くるぶし内側下の筋肉がすげえ痛くなりウォーキングとは使う筋肉を使ってる感があって気持ちよくなる

休日午前はこの調子で走ることを決意

その後は眼科に向かい診療を受け初期の緑内障が発覚、目薬を処方される

小2の頃から眼鏡であり、かなり強い近視ゆえ飛蚊症には慣れていたが

そんなワイでも飛蚊症が気になりはじめたゆえに行ってみたが

大大大正解であったッッッ

しっかし眼科受付嬢から看護師までみんな美人揃いだし半袖で二の腕が目に毒だったわ

から端まで美人だし声も優しくてもう眩しすぎて失明しそうだったぜ

みんな良く訓練されてるな、人気が出るのも納得の眼科

しかしこの先で悩んじゃうぜ

緑内障では細かい部品を見て目を酷使するタイプ工場検査VDT作業系の仕事は避けた方が無難だろうな・・・

もう派遣やって正規or期間工なんて企てずこのままフリーターを続けてyoutuberやろうかな

敗残系独身youtuberってけっこう居るよな

手取り13万独身派遣云々とか東大5度落ち元お笑い芸人云々とか

アレやろうかな

空白12年元ヒキyoutuberつって

料理も割と好きだし

色んなサイトレシピ紹介も兼ねつつやれば依頼も来そうだし

でもワイには一般視聴者に引っかかるフックがねえしネタも続かなさそうだな

先行投資で猫飼うか

猫+俺なら無敵やろ多分

フフ

前途洋々だな俺の未来はよ!

な~んてことを考えながら

メルカリで買った1400円のUSBコネクタがついてるmp3プレーヤーに合うお安いイヤホンを求め家電屋に向かった

良いのがあったぜJVCの990円のカナル型

音質はどうかって?割と良いぞ

低音が出るとか高音が良く出るとか

そんなもんわかりゃしねえが散歩中には十分だぜ

しっかしアレだわ、休日になるとガチ自分ADDを感じるわ

今日マスク忘れて外出したし眼科サングラス置き忘れたぜ

でもこれまでの人生受験票を忘れたり大事な日を忘れてすっぽかすようなクリティカルミスはしてないんだよな・・・ほんとどうでもいいケアレスミスばかり

これじゃADDの診断降りなさそうだぜ

まあ

いずれにせよ良い休日であったッッッ

明日も走って図書館に本返して家の片づけするぞい!

2024-03-13

anond:20240313231329

「変な造語」ではなくて、ADDの分類6タイプことなんじゃねーの?

2種類は大雑把すぎるとは思うけどな

2024-03-07

空白12職歴無し新聞配達員ワイ、帰宅

今日タイムカード2時間ピッタリ

だが2つもミスをした

とある区の木曜日のみ配達する新聞を持って行き忘れる、それとは別の区の新聞ビニールに包み忘れ2度も事務所に戻る醜態

ミスの質がしょうもなさすぎる、ケアレスミス&ケアレスミス

12年間の放蕩生活で脳が腐った可能性に加え、配達開始から2週間も経ち緊張感が抜けている実感はあるが

なぜ忘れてしまうのか自分でもわからない哀しみ

ケアレスまり注意欠落、やはりワイはADDに寄ったADHDなのだろう

視覚優位な自覚があるため見て防げる仕組みを作らねばならぬ

と同時に工場よりは施設警備や清掃、品出しなどミスの取り返しがつく職に就くより他ない気がしている

さて、もうすぐスーパーにてWワーク開始である

気を引き締めねば

2024-03-05

anond:20240304161913

お子さんADDとかなんだろうか

改善を見ているというのは非常に興味深い

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ようこそ ゲスト さん