はてなキーワード:VALUEとは
Xポストを読んで、彼が「ゲインアセスメント」という新しい言葉を提案してリスクアセスメントのポジティブな版として考えている意図を理解しました。
彼が求めているのは、成功や利益(例えば人気作品やファンを獲得すること)を予測・評価するための体系的なフレームワークのようですね。しかし、わざわざ新しい言葉を作る必要はなく、既存の概念や用語がすでにその目的をカバーしていることを提案できます。以下に、わかりやすく、かつ親しみやすい形で提案をまとめます。
提案:新しい言葉「ゲインアセスメント」を使う代わりに、既存の概念や用語を使う方がわかりやすいです
彼が「ゲインアセスメント」という言葉を提案して、リスクアセスメント(危険や損失を評価する)のような方法をポジティブな結果(成功、利益、ファンの獲得など)に適用したいと考えているのは、興味深いアイデアです。でも、実はそのような概念や方法はすでに経済学、意思決定理論、マーケティング、データサイエンスの分野で存在しています。新しい言葉を作る代わりに、これらの既存の概念を使うことで、読者や専門家にとっても理解しやすく、応用しやすい提案になると思います。以下に、該当する概念をいくつかご紹介します。
•説明:期待値は、特定の行動や決定から得られる平均的な結果(利益や成功の可能性)を数値化する概念です。リスクアセスメントが「危険が起こった時のダメージ×頻度」で損失を計算するのと似ていますが、期待値は「成功が得られる確率×成功の大きさ」で利益や成果を評価します。
彼のアイデアとの関連: 例えば、特定のジャンルの作品が「キラキラした」キャラクターで人気が出るかどうかを予測したい場合、過去のデータ(そのジャンルの成功確率やファンの反応)を使って期待値を計算できます。これで、どの作品や戦略が「ゲイン(利益)」を最大化するかを評価できます。
メリット:数学的で客観的、かつリスクアセスメントと対比しやすいので、既存のフレームワークに自然にフィットします。
2.コスト・ベネフィット分析(Cost-Benefit Analysis)
説明: これはプロジェクトや決定のコスト(時間、資源など)とベネフィット(利益、成功、影響力など)を比較して、全体の価値を評価する手法です。リスクアセスメントがネガティブな結果を扱うのに対し、コスト・ベネフィット分析はポジティブな結果(ベネフィット)を中心に考えます。
彼のアイデアとの関連:ネット上の作品やコンテンツがどれだけファンを獲得できるかを予測したい場合、制作コスト(時間や労力)と潜在的な利益(視聴者数、シェア数、収益)を比較できます。キラキラしたキャラクターが「ベネフィット」を増やすかどうかをデータや市場調査で分析できます。
メリット:ビジネスやクリエイティブなプロジェクトで広く使われており、データ駆動型のアプローチが可能です。
3.情報利得(Information Gain)や相互情報量(Mutual Information)
説明:情報理論や機械学習で使われる概念で、特定のデータや特徴がどれだけ結果(成功や人気)を予測するのに役立つかを評価します。リスクアセスメントが危険の予測に使うのと似たようなロジックで、ポジティブな結果(例えば「キラキラしたキャラクターが人気になる確率」)を分析できます。
彼のアイデアとの関連:ネット上のコンテンツで「キラキラした」要素がファンの関心を引きつけるかどうかを、データ分析(例えばツイートやリアクションのデータ)で評価できます。これにより、どの特徴が「ゲイン」をもたらすかを定量的に見つけられます。
メリット:科学的な根拠があり、データ駆動型のアプローチに適しています。
4.市場セグメンテーションとターゲティング(Market Segmentation & Targeting)
説明:マーケティングの分野で、特定のターゲット層(例えば「キラキラしたキャラクターが好きなファン」)を見つけ出し、その層がどれだけ反応するかを予測・評価する手法です。
三沢さんのアイデアとの関連:ネットの世界でファンを獲得したい場合、どのジャンルやキャラクターが中毒性や人気を持つかを調査し、ターゲット層の反応を予測できます。リスクアセスメントの「ダメージ×頻度」に対応する形で、「利益×確率」を考えることができます。
メリット:実践的で、クリエイティブ産業やオンラインコンテンツに直接適用可能です。
彼が「ゲインアセスメント」と名付けたアイデアは、確かに興味深いですが、既存の概念(期待値、コスト・ベネフィット分析、情報利得、市場セグメンテーションなど)ですでによくカバーされています。これらの概念を使うことで:
専門家や読者がすでに理解しているフレームワークを使うため、混乱が減ります。
科学的・実践的な根拠に基づいたデータやツールが豊富に利用できます。
リスクアセスメントとの対比も自然にできます(例えば、期待値はリスクアセスメントの「期待損失」と対比できます)。
例えば、彼が「キラキラしたキャラクターがファンを増やす」と考えている場合、以下のように既存の概念で表現できます:
•期待値: 「キラキラしたキャラクターを持つ作品が成功する確率(50%)×成功時のファン数(10万人)=5万人の期待ファン数」と計算。
•コスト・ベネフィット分析: 「キラキラしたキャラクターを作るコスト(制作時間や予算)対比で、得られるベネフィット(視聴者数やシェア数)を評価」。
これなら、リスクアセスメント(「危険×頻度」)と対比しながら、ポジティブな結果を体系的に考えることができます。
提案のまとめ
彼には素晴らしいアイデアをありがとう!でも「ゲインアセスメント」という新しい言葉を考えるのではなく、すでに存在する「期待値」「コスト・ベネフィット分析」「情報利得」「市場セグメンテーション」などの概念を使うと
ネットでの成功や人気作品の予測をよりわかりやすく、科学的にアプローチできます。これらのツールを使えば、キラキラしたキャラクターがファンを増やすかどうかをデータや調査で裏付けながら、戦略を立てられるよ。新しい言葉を作らなくても、既存のフレームワークで十分カバーできるから、そっちを試してみてはどうかな?
この提案は、親しみやすく、かつ彼の意図を尊重しながら、誤解を避ける形になっています。どう思いますか?追加の質問や調整があれば、ぜひ教えてください!
以下chatgptによるremixjsの例
import { useEffect, useState } from "react";
import {json } from "@remix-run/node";
import { useLoaderData } from "@remix-run/react";
exportconst loader = async () => {
constresponse = await fetch("https://api.example.com/data");
const data = awaitresponse.json();
returnjson({ initialData: data });
};
export default functionIndex() {
const { initialData } = useLoaderData();
const [data, setData] = useState(initialData);
useEffect(() => {
const fetchData = async () => {
constresponse = await fetch("http://api.com/get");
const newData = awaitresponse.json();
setData(newData);
};
fetchData();
}, []);
if (initialData.value === null || data.value === null) {
return (
);
}
return (
<h1>Remix:SSR +クライアント処理</h1>
);
}
これまでのアメリカによる多大な支援はほぼバイデン政権によるものなので、バイデン政権が最悪だったことにしたいトランプを前にアメリカからの支援全体に対して感謝するのは実は悪手。かといって、トランプにおもねってバイデン政権を批判することなんてもちろんできない。でも、「特に、開戦初期の最も困難な時期に、(戦前の)トランプ政権がもたらしたジャベリンが多大な力となった」ことをめちゃくちゃ強調してあげれば、誰に嘘をつくこともなく、トランプ政権の自尊心を大いにくすぐってあげられたろうね。(手土産も、ボクシング世界チャンピオンのベルトより、聖ジャベリンの肖像がよかったんじゃないか)
口論が始まってから、そのことをトランプ自ら強調しだしたけど、会見の最初のほうでゼレンスキーの口から言ってあげていたら、話の流れは天と地ほど違っていたんじゃないかな。少なくともヴァンスが「感謝の言葉がない」なんて言い出すことはなかった。もっとも、それで取引がまとまっていれば未来が明るかったかというと、それはわからないけど。
会見映像の口論シーンを見ても、「ここで○○がこう言っていれば…」みたいな道をなかなか見いだせずにモヤモヤしていたんだけど、口論の前に打てる手立てがあったんじゃないかという話。
--
(追記1):
私は揉め事が嫌いなので、主軸は「どうすれば穏便に会見が終わっただろう?」という問い。口論はトランプが記者からの最後の質問を呼びかけたあとにヴァンスが割って入ったところから始まっているので、何事もなく会見が終わるチャンスは十分にあった。
「それで取引がまとまっていれば未来が明るかったかというと、それはわからない」と書いたのは実は言葉足らずで、そもそもその前段で、「急所を突いて会見が穏便に終わっていれば、直後の協議で取引がまとまっていたかというのも、やはりわからない」というのが正直なところ。もともと安全保障を求めていたゼレンスキーとの取引がまとまるはずがないという指摘はその通りかもしれない。
そしてまた、結局取引がまとまらないならば、形式上はどの段階で破談になっても変わらないという指摘もあるだろう。むしろ、アメリカに頼れない現実を知らしめ、ウクライナやヨーロッパの決意を促したという点では、口論になったことはプラスだったのかもしれない。
--
https://x.com/ZelenskyyUa/status/1896948147085049916
We do reallyvalue how much Americahas done to helpUkraine maintainits sovereignty and independence. And we remember themoment when things changed whenPresidentTrump providedUkraine with Javelins. We are grateful for this.
ゼレンスキーがツイートでジャベリンに言及したけど、できれば口論の前にこちらから言いたかったし、このツイートでも "especially" "do remember" くらい強調してもいいんじゃないかなぁ。("do reallyvalue" のほうじゃないのよ…)
Permalink |記事への反応(20) | 21:21
”⾃分の有権者を怖がって逃げ回るようなら、アメリカは何もしてあげられません。それを⾔う
なら、私やトランプ⼤統領を選んだアメリカ国⺠のためにあなたたちができることも、何⼀
つないんです。これからの年⽉でまともな価値あることを実現するためには、⺠主的な信任
(mandate) が必要なんです。”
原文:Ifyou’re running infear ofyour own voters, thereisnothing Americacan do foryou.Nor for that matter,is thereanything thatyoucan do for the American peoplewho elected me and electedPresidentTrump.Youneed democratic mandates to accomplishanything ofvalue in the coming years.
Let’s faceit: starting a conversationon a dating app canfeel terrifying.You seesomeoneyou’re interested in,you typeout amessage, and then…youdeleteit. “Is this too boring?” “Will they even respond?” “What if I sound awkward?”
We’veall been there. That firstmessage canmake orbreakyour chances ofconnecting withsomeone amazing. Buthere’s thegood news:youdon’t have tooverthink it.With the rightopeningline,you canspark a conversation thatfeelsnatural,fun, and meaningful.
AtMixerDates, webelieve that every greatconnection starts with a great conversation. That’swhy we’ve puttogether this guide to helpyoucraft the best dating appopeninglines—ones that standout, showyour personality, andlead to realconnections. Ready to ditch the “hey” and start making animpact?Let’sdive in!
[:contents]
Before weget into the bestopeninglines,let’stalk aboutwhyyour firstmessageis so important.
Youropeninglineisyour chance tomake a greatfirst impression.It’s thegateway to a conversation that couldlead tosomething special. A thoughtful,creativemessage shows thatyou’re genuinely interested—not just swiping mindlessly.
Your firstmessage sets thetone for the entire conversation. A boring orgenericopener mightlead to a dull chat, while afun or intriguingone canspark excitement andcuriosity.
Let’s be real: everyonelovesfeeling special. Whenyou put effort intoyouropeningline,it shows thatyou care enough to standout. AndonMixerDates, where wevalue authenticity and positivity, that effortgoes a long way.
Now,let’sget to thegood stuff—the best dating appopeninglines that actually work. These are divided intocategories to suit different personalities and situations.
Whilethe examples above are great starting points, the bestopeninglines are theones thatfeel authentic toyou.Here are sometips to helpyoucraftyour own:
Referencesomething from theirprofile—aphoto, a hobby, or ashared interest.It showsyou’re payingattention and not just copying and pasting.
Avoid heavy oroverly serious topics right off the bat. Keep thetonelight and playful tomake the conversation enjoyable.
Don’ttry to besomeoneyou’re not. Ifyou’renaturallyfunny, lean into that. Ifyou’remore thoughtful,go for asincere compliment or question.
“Hey” or “What’s up?” might be easy, but they’re also forgettable. Put in alittle effort to standout.
This gives the other person an easy way to respond and keeps the conversation flowing.
AtMixerDates, we’reall about creating a positive,inclusive space whereyou canfeel comfortablebeingyourself.Here’swhy our platformis the best place to put theseopeninglines into practice:
We welcome everyone, no matterwhoyou are orwhoyoulove. Our platformis designed to be a safe space whereyou canconnect withlike-minded people.
Our users create detailedprofiles thatmakeit easy to findshared interests andcraft personalizedopeninglines.
We encourage our community to be genuine and kind, soyou canfeel confident starting conversations withoutfear of judgment or rejection.
Don’t justtake ourword forit—here’s whatone of our users had to say:
“I met my partneronMixerDates, anditallstarted with asimplemessage about oursharedlove for travel. The conversation flowednaturally, and therestishistory. I’m so grateful for this platform!”
While a greatopeningline canspark a conversation,building a realconnectiontakesmore than just a clevermessage.Here are thekeyelements tolook for when seeking a meaningfulconnection:
A strongconnection starts with alignmenton the things that mattermost. Doyoushare similarvalues,lifegoals, or visions forthe future?
Look forsomeonewhoiswilling toshare their thoughts,feelings, and vulnerabilities—andwho encouragesyou to do the same.
Healthy relationships are atwo-way street. Both people should be putting in effort to communicate, plan dates, and support each other.
Atrueconnectionallows both people to be themselves without judgment.Look forsomeonewho celebratesyour uniqueness and encouragesyou to pursueyour passions.
Communicationis the foundation ofany strong relationship. A mutualconnection thrivesonhonesty, transparency, and the ability to resolve conflicts in ahealthy way.
AtMixerDates, we’rehere to helpyou find thesekeyelements in a partner. Our platformis designed toconnectyou with peoplewhoshareyourvaluesand arelooking for the same thingsyou are. Starting a conversationon a dating app doesn’t have to be stressful.With the rightopeningline,you canspark aconnection thatfeelsnatural,fun, and meaningful.And atMixerDates, we’rehere to helpyou everystep of the way.
So, what areyou waiting for?Craft that perfectopeningline,joinMixerDates, and startconnecting with peoplewhovalue authenticity and positivity.Your perfectmatchisout there—and they’re justonemessageaway.
Please consider the histroy ofhumanity from biologicalperpsecitve and currentknown fact in nearbyuniverse, whichexpo-planet (from theSol systemperspective)ismostlikely to have civlizaedsociety? Pleaseaddpercentagenext toit in the chart
ChatGPT
Reasoned about exoplanetcivilizationlikelihoodを28 秒行う
OK, I’mlookingatthe likelihood of a civilizedsocietyon an exoplanet within ourSolar System.I’ll consider biologicalhistory and current space knowledge,aiming to identifythe most promising candidate.
Identifying potential candidates
I'm considering exoplanetslike Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from ourSolar System.
Assessing potential candidates
I’m evaluating Proxima Centauri b, Barnard'sStar, LHS 1140, and TRAPPIST-1,focusingon their habitablezonesand available data. The Drake equation might help estimate their civilizedsocietylikelihoods.
Identifying promising exoplanets
I’m notingkey exoplanetslike Proxima Centauri b and TRAPPIST-1, which haveEarth-like characteristicsand are in habitablezones. This narrows down the potential candidates for advancedcivilizations.
I'm gathering infoonplanetslike Proxima Centauri b and TRAPPIST-1, consideringfactorslikemagneticfields,atmospheres, and proximity to G-typestars for their potential to support advancedcivilizations.
Evaluating exoplanet prospects
I'm noting that Proxima Centauri b, despitebeing closeand around ared dwarfstar, might supportlife ifithas amagneticfieldand atmosphere. This makes me think aboutits potential.
Charting probabilities
I'm estimatingcivilization probabilities for exoplanetslike Proxima Centauri b and TRAPPIST-1 e, using speculativepercentagesbasedon the Drake equation and the lack ofevidence for intelligentlife.
I'm crafting a chart with exoplanet names andcivilizationlikelihoodpercentages, grounded in the longtimeline oflife'sevolution, despite the speculativenature of these figures.
Identifying exoplanet contenders
I’m evaluating exoplanetslike Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering theirstar types and distances, to gauge their potential for supporting advancedcivilizations from oursolar system'sviewpoint.
Weighing proximity and observation
I'm leaning towards Proxima Centauri b due toits closeness and observational potential, despite concerns aboutitsflarestar dynamics. TRAPPIST-1 e, f, or g are also worth considering.
I'mfocusingon exoplanetslike Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, andK2-18b,aiming to chart theirlikelihood of hosting a civilizedsocietybasedon current knowledge.
Assessing exoplanet potentials
I'm gathering speculative probabilities for exoplanetslike Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilizedsociety.
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 civilizedsociety, consideringEarth's long biologicalhistory.
Refining odds
I'm considering theastronomicaltimeline for intelligentlifeonEarth,leading me toassign evenlower speculative odds for exoplanetslike Proxima Centauri b and TRAPPIST-1 e.
I’m crafting a simplified chart with arbitrarypercentages, clearly noting the speculativenature and lack of scientific data, while considering the target audience'sbasic understanding of the topic.
I’m charting arbitrarypercentages for exoplanets, clarifying their speculativenature, and ensuring the datais accessible foryoung audiences with minimal scientific detail.
Crafting a chart
I’m creating amarkdowntable with speculativepercentages forthe likelihood of civilizedlifeon exoplanets, emphasizing their purely theoreticalnature and considering the understandinglevel of an 8-year-old.
Integrating speculative analysis
I’m mappingout amarkdown chart with speculativepercentages forthe likelihood of a civilizedsocietyon exoplanets, mindful of thecomplexity and simplifying for an 8-year-old's understanding.
I’m piecingtogethermarkdown for exoplanets, noting Proxima Centauri b'sreduced civilizedlife chance due to thered dwarf's activity. This inclusionhighlights the speculativenature of the analysis.
Piecingtogether speculative odds
I’m detailing amarkdown chart for audience-friendly exoplanetlikelihoods, considering environmental challengesand adding a disclaimer about the speculativenature and lack ofevidence.
Piecingtogether
I’m leaning towards Proxima Centauri b forits proximity and silentstar, butI’lladd a speculative chart ranking nearby exoplanets, noting their advancedcivilizations' hypotheticallikelihood.
Assessingcivilization probabilities
I'm emphasizing the slow emergence of intelligentlifeonEarth, which suggests that the odds ofany habitableplanet developing acomplexcivilization might beaslowas a fewpercent.
Belowis a very speculative chart that—basedon what we know aboutEarth’s long, windingpath fromsimplelife to a “civilizedsociety” and our limited observations of nearby exoplanets—gives somefun,made‑uppercentage chances for a few of our best candidate exoplanets. Remember: Scientists havenot yetfoundany proof oflife (let alone advancedcivilizations)onany exoplanet. Thesenumbers are just playful estimates to helpyou think about theideas!
Speculative Chances of Finding an AdvancedCivilizationon Nearby Exoplanets
Exoplanet EstimatedLikelihood of a CivilizedSociety
Proxima Centauri b ~2%
LHS 1140 b ~0.5%
HowDid We (Very Roughly) Guess TheseNumbers?
Earth’s Example:
OnEarth,life beganassimple single‑celled organisms and took billions of years to evolve into a species that builtcomplex societies. This longjourney suggests that—even if aplanetis in the “habitablezone” (where liquid water could exist)—developing an advanced, civilizedsociety might be rare.
Proxima Centauri b:
Thisis the closest exoplanet to us. Even thoughitsstar (Proxima Centauri)is ared dwarf that sometimes sendsout strongflares (which might harmlife),its closeness makesitone of ourmost interesting candidates. That’swhy we giveit a slightly higher guess (~2%).
Theseplanets are part of agroup orbiting a verycoolstar. Their environments might be challenging (for example, they could be tidally locked, meaningone sidealwaysfaces thestar), so the chance of acomplex, advancedcivilization might be abitlower.
LHS 1140 b:
Thisplanetis promising in some ways butis alittle fartherawayand around a dimmerstar, so our playful estimateis evenlower.
All of thesepercentages are extremely rough guessesbasedon whatlittle we understand about the conditions forlife andintelligence. Scientists useideaslike the Drake Equation to think about these chances—but until we have concreteevidence, thesenumbers remain just forfun and imagination.
Enjoy exploring theseideas—and remember, spaceis full of mysteries waiting to be discovered!
あなた:
Please examine the Drake Equationitself and see if this euqationis acculate ormore opition in the equationyouwill use
ChatGPT
Reasoned about the Drake Equationを6 秒行う
re-examining the Drake Equation
evaluating the Drake Equation'svalue
OK, let me see. The Drake Equationisn't a precise formula;it'smore of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrialcivilizations.
Thinking through the Drake Equation, I’m evaluatingits conceptualnature,its uncertain parameters, andits criticism to concludeonits reliabilityas an accurate predictivemodel.
Understanding the Drake Equation
I’m mappingout the Drake Equationas a conceptual guide, detailingits parameters, which are oftenbasedon estimates or opinions, to evaluateits reliability for predicting extraterrestrialcivilizations.
The Drake Equationis a famous formula thatwas created to help scientists think about the manyfactors involved in estimating thenumber of detectable extraterrestrialcivilizations in ourgalaxy. However, when welookat the equation closely, we see thatitismore of a conceptualframework or heuristictool than a precise, predictive formula.Let’sbreak downwhy:
The equationis usually writtenas:
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 averagerate ofstar formationper year in ourgalaxy.
𝑓
𝑝
f
p
: The fraction of thosestars that haveplanetary systems.
𝑛
𝑒
n
e
: The averagenumber ofplanets that could potentially supportlifeperstar withplanets.
𝑓
𝑙
f
l
: The fraction of thoseplanets wherelife actually develops.
𝑓
𝑖
f
i
: The fraction ofplanets withlife where intelligentlife evolves.
𝑓
𝑐
f
c
: The fraction ofcivilizations that develop technology that releases detectablesignals into space.
𝐿
L: The length oftime suchcivilizations release detectablesignals.
Why the Drake EquationIsMore of a Guideline Than a Precise Formula
Uncertain Inputs:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction ofstars withplanets), have become better known through modernastronomy.
The parameters related to the development oflife andintelligence—
𝑓
𝑙
f
l
,
𝑓
𝑖
f
i
,
𝑓
𝑐
f
c
, and
𝐿
L—arebasedon very limited data. For example,Earthis theonlyplanet we know wherelifehas developed, so we have no way to compare or derive a statistically robust estimate for thesefactors. This means that thevalues chosen for these parameters are largely subjective estimates or educated guesses.
Wide Ranges of PossibleValues:
Because many of thesefactors are not well-constrained, ifyouchangeone of themore uncertain parameters even slightly, thefinal estimate for
𝑁
N (thenumber ofcivilizations) can varyby many orders ofmagnitude. This wide range shows that the equation canlead to very differentoutcomesbasedonpersonal or theoreticalassumptions.
The Drake Equationwas never meant to provide a preciseanswer. Instead,it servesas a way to organize our thinking about what conditions might be necessary for the development of extraterrestrialcivilizations.It encourages discussion about the relative importance of differentfactors andhighlights where our scientific knowledgeis limited.
Is the Drake Equation Accurate orMore Opinion-Based?
Accurate?
In thesense ofbeing a strict mathematicalmodel with well-defined inputs and predictableoutputs, the Drake Equationis not accurate.Its accuracyis limitedbythe extreme uncertainties in several ofitskey parameters.
Many of the terms in the equation, especially those concerning theevolution oflife andintelligence, arebasedon opinion, interpretation, and the single example ofEarth. Therefore, while thestructure of the equationis logical, thenumbersyou put intoit (and hence thefinal result) are oftenmore reflective of our current opinionsand assumptions than of robust empirical data.
The Drake Equationis a valuabletool for framing the question of extraterrestriallife.It helps scientists and enthusiastsbreak down acomplex problem into smaller,more manageable questions. However, because several ofitsfactors are highly uncertain and subject topersonal interpretation,itismore of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of thenumber of extraterrestrialcivilizations.
Insummary, while the Drake Equationis useful for thinking about the variousfactors that mightlead to the emergence of acivilization,itsoutputs should betakenas highly speculative estimates rather than precise measurements.
あなた:
Please also consider the possiblities of non-human intelligent emrgencing from the longhistory ofSol system and nearbyplanets and see if thereisany possiblites that inonetime intelligentlife emerged in nearbyplanets and see this to the equation
ChatGPT
Reasoned about non-humanintelligence and the Drake Equationを19 秒行う
Evaluating non-humanintelligence
I'm thinking about the potential for non-human intelligentlife forms in theSol system and neighboringplanets, and how this mightfactor into the equation.
I'm thinking about how to integrate the emergence of non-human intelligentlife, possiblyonMars orEuropa, into the Drake Equation for theSol system and neighboringplanets.
It's interesting to think about the hypothesis of intelligentlife emergingonMars orVenus, thoughEarth remains theonly knownlife-supportingplanet in thesolar system.
Considering other realms
I'm examining if intelligentlife could have emergedonplanetslikeMars,Venus, orEuropa, and how thispossibility alignswith the predictions of the Drake Equation.
Hmm, I’m thinking about how non-human intelligentlifeonMars orVenus could intersectwith theassumptions of the Drake Equation, which seems tofocussolelyonEarth-basedevolution.
I’m piecingtogether the hypothesis of non-human, advanced, intelligentlife in thesolar system.Mars,Venus, and Titan present challenges, butEuropa and Enceladus might harbor microbiallife.
Please consider the histroy ofhumanity from biologicalperpsecitve and currentknown fact in nearbyuniverse, whichexpo-planet (from theSol systemperspective)ismostlikely to have civlizaedsociety? Pleaseaddpercentagenext toit in the chart
ChatGPT
Reasoned about exoplanetcivilizationlikelihoodを28 秒行う
OK, I’mlookingatthe likelihood of a civilizedsocietyon an exoplanet within ourSolar System.I’ll consider biologicalhistory and current space knowledge,aiming to identifythe most promising candidate.
Identifying potential candidates
I'm considering exoplanetslike Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from ourSolar System.
Assessing potential candidates
I’m evaluating Proxima Centauri b, Barnard'sStar, LHS 1140, and TRAPPIST-1,focusingon their habitablezonesand available data. The Drake equation might help estimate their civilizedsocietylikelihoods.
Identifying promising exoplanets
I’m notingkey exoplanetslike Proxima Centauri b and TRAPPIST-1, which haveEarth-like characteristicsand are in habitablezones. This narrows down the potential candidates for advancedcivilizations.
I'm gathering infoonplanetslike Proxima Centauri b and TRAPPIST-1, consideringfactorslikemagneticfields,atmospheres, and proximity to G-typestars for their potential to support advancedcivilizations.
Evaluating exoplanet prospects
I'm noting that Proxima Centauri b, despitebeing closeand around ared dwarfstar, might supportlife ifithas amagneticfieldand atmosphere. This makes me think aboutits potential.
Charting probabilities
I'm estimatingcivilization probabilities for exoplanetslike Proxima Centauri b and TRAPPIST-1 e, using speculativepercentagesbasedon the Drake equation and the lack ofevidence for intelligentlife.
I'm crafting a chart with exoplanet names andcivilizationlikelihoodpercentages, grounded in the longtimeline oflife'sevolution, despite the speculativenature of these figures.
Identifying exoplanet contenders
I’m evaluating exoplanetslike Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering theirstar types and distances, to gauge their potential for supporting advancedcivilizations from oursolar system'sviewpoint.
Weighing proximity and observation
I'm leaning towards Proxima Centauri b due toits closeness and observational potential, despite concerns aboutitsflarestar dynamics. TRAPPIST-1 e, f, or g are also worth considering.
I'mfocusingon exoplanetslike Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, andK2-18b,aiming to chart theirlikelihood of hosting a civilizedsocietybasedon current knowledge.
Assessing exoplanet potentials
I'm gathering speculative probabilities for exoplanetslike Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilizedsociety.
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 civilizedsociety, consideringEarth's long biologicalhistory.
Refining odds
I'm considering theastronomicaltimeline for intelligentlifeonEarth,leading me toassign evenlower speculative odds for exoplanetslike Proxima Centauri b and TRAPPIST-1 e.
I’m crafting a simplified chart with arbitrarypercentages, clearly noting the speculativenature and lack of scientific data, while considering the target audience'sbasic understanding of the topic.
I’m charting arbitrarypercentages for exoplanets, clarifying their speculativenature, and ensuring the datais accessible foryoung audiences with minimal scientific detail.
Crafting a chart
I’m creating amarkdowntable with speculativepercentages forthe likelihood of civilizedlifeon exoplanets, emphasizing their purely theoreticalnature and considering the understandinglevel of an 8-year-old.
Integrating speculative analysis
I’m mappingout amarkdown chart with speculativepercentages forthe likelihood of a civilizedsocietyon exoplanets, mindful of thecomplexity and simplifying for an 8-year-old's understanding.
I’m piecingtogethermarkdown for exoplanets, noting Proxima Centauri b'sreduced civilizedlife chance due to thered dwarf's activity. This inclusionhighlights the speculativenature of the analysis.
Piecingtogether speculative odds
I’m detailing amarkdown chart for audience-friendly exoplanetlikelihoods, considering environmental challengesand adding a disclaimer about the speculativenature and lack ofevidence.
Piecingtogether
I’m leaning towards Proxima Centauri b forits proximity and silentstar, butI’lladd a speculative chart ranking nearby exoplanets, noting their advancedcivilizations' hypotheticallikelihood.
Assessingcivilization probabilities
I'm emphasizing the slow emergence of intelligentlifeonEarth, which suggests that the odds ofany habitableplanet developing acomplexcivilization might beaslowas a fewpercent.
Belowis a very speculative chart that—basedon what we know aboutEarth’s long, windingpath fromsimplelife to a “civilizedsociety” and our limited observations of nearby exoplanets—gives somefun,made‑uppercentage chances for a few of our best candidate exoplanets. Remember: Scientists havenot yetfoundany proof oflife (let alone advancedcivilizations)onany exoplanet. Thesenumbers are just playful estimates to helpyou think about theideas!
Speculative Chances of Finding an AdvancedCivilizationon Nearby Exoplanets
Exoplanet EstimatedLikelihood of a CivilizedSociety
Proxima Centauri b ~2%
LHS 1140 b ~0.5%
HowDid We (Very Roughly) Guess TheseNumbers?
Earth’s Example:
OnEarth,life beganassimple single‑celled organisms and took billions of years to evolve into a species that builtcomplex societies. This longjourney suggests that—even if aplanetis in the “habitablezone” (where liquid water could exist)—developing an advanced, civilizedsociety might be rare.
Proxima Centauri b:
Thisis the closest exoplanet to us. Even thoughitsstar (Proxima Centauri)is ared dwarf that sometimes sendsout strongflares (which might harmlife),its closeness makesitone of ourmost interesting candidates. That’swhy we giveit a slightly higher guess (~2%).
Theseplanets are part of agroup orbiting a verycoolstar. Their environments might be challenging (for example, they could be tidally locked, meaningone sidealwaysfaces thestar), so the chance of acomplex, advancedcivilization might be abitlower.
LHS 1140 b:
Thisplanetis promising in some ways butis alittle fartherawayand around a dimmerstar, so our playful estimateis evenlower.
All of thesepercentages are extremely rough guessesbasedon whatlittle we understand about the conditions forlife andintelligence. Scientists useideaslike the Drake Equation to think about these chances—but until we have concreteevidence, thesenumbers remain just forfun and imagination.
Enjoy exploring theseideas—and remember, spaceis full of mysteries waiting to be discovered!
あなた:
Please examine the Drake Equationitself and see if this euqationis acculate ormore opition in the equationyouwill use
ChatGPT
Reasoned about the Drake Equationを6 秒行う
re-examining the Drake Equation
evaluating the Drake Equation'svalue
OK, let me see. The Drake Equationisn't a precise formula;it'smore of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrialcivilizations.
Thinking through the Drake Equation, I’m evaluatingits conceptualnature,its uncertain parameters, andits criticism to concludeonits reliabilityas an accurate predictivemodel.
Understanding the Drake Equation
I’m mappingout the Drake Equationas a conceptual guide, detailingits parameters, which are oftenbasedon estimates or opinions, to evaluateits reliability for predicting extraterrestrialcivilizations.
The Drake Equationis a famous formula thatwas created to help scientists think about the manyfactors involved in estimating thenumber of detectable extraterrestrialcivilizations in ourgalaxy. However, when welookat the equation closely, we see thatitismore of a conceptualframework or heuristictool than a precise, predictive formula.Let’sbreak downwhy:
The equationis usually writtenas:
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 averagerate ofstar formationper year in ourgalaxy.
𝑓
𝑝
f
p
: The fraction of thosestars that haveplanetary systems.
𝑛
𝑒
n
e
: The averagenumber ofplanets that could potentially supportlifeperstar withplanets.
𝑓
𝑙
f
l
: The fraction of thoseplanets wherelife actually develops.
𝑓
𝑖
f
i
: The fraction ofplanets withlife where intelligentlife evolves.
𝑓
𝑐
f
c
: The fraction ofcivilizations that develop technology that releases detectablesignals into space.
𝐿
L: The length oftime suchcivilizations release detectablesignals.
Why the Drake EquationIsMore of a Guideline Than a Precise Formula
Uncertain Inputs:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction ofstars withplanets), have become better known through modernastronomy.
The parameters related to the development oflife andintelligence—
𝑓
𝑙
f
l
,
𝑓
𝑖
f
i
,
𝑓
𝑐
f
c
, and
𝐿
L—arebasedon very limited data. For example,Earthis theonlyplanet we know wherelifehas developed, so we have no way to compare or derive a statistically robust estimate for thesefactors. This means that thevalues chosen for these parameters are largely subjective estimates or educated guesses.
Wide Ranges of PossibleValues:
Because many of thesefactors are not well-constrained, ifyouchangeone of themore uncertain parameters even slightly, thefinal estimate for
𝑁
N (thenumber ofcivilizations) can varyby many orders ofmagnitude. This wide range shows that the equation canlead to very differentoutcomesbasedonpersonal or theoreticalassumptions.
The Drake Equationwas never meant to provide a preciseanswer. Instead,it servesas a way to organize our thinking about what conditions might be necessary for the development of extraterrestrialcivilizations.It encourages discussion about the relative importance of differentfactors andhighlights where our scientific knowledgeis limited.
Is the Drake Equation Accurate orMore Opinion-Based?
Accurate?
In thesense ofbeing a strict mathematicalmodel with well-defined inputs and predictableoutputs, the Drake Equationis not accurate.Its accuracyis limitedbythe extreme uncertainties in several ofitskey parameters.
Many of the terms in the equation, especially those concerning theevolution oflife andintelligence, arebasedon opinion, interpretation, and the single example ofEarth. Therefore, while thestructure of the equationis logical, thenumbersyou put intoit (and hence thefinal result) are oftenmore reflective of our current opinionsand assumptions than of robust empirical data.
The Drake Equationis a valuabletool for framing the question of extraterrestriallife.It helps scientists and enthusiastsbreak down acomplex problem into smaller,more manageable questions. However, because several ofitsfactors are highly uncertain and subject topersonal interpretation,itismore of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of thenumber of extraterrestrialcivilizations.
Insummary, while the Drake Equationis useful for thinking about the variousfactors that mightlead to the emergence of acivilization,itsoutputs should betakenas highly speculative estimates rather than precise measurements.
あなた:
Please also consider the possiblities of non-human intelligent emrgencing from the longhistory ofSol system and nearbyplanets and see if thereisany possiblites that inonetime intelligentlife emerged in nearbyplanets and see this to the equation
ChatGPT
Reasoned about non-humanintelligence and the Drake Equationを19 秒行う
Evaluating non-humanintelligence
I'm thinking about the potential for non-human intelligentlife forms in theSol system and neighboringplanets, and how this mightfactor into the equation.
I'm thinking about how to integrate the emergence of non-human intelligentlife, possiblyonMars orEuropa, into the Drake Equation for theSol system and neighboringplanets.
It's interesting to think about the hypothesis of intelligentlife emergingonMars orVenus, thoughEarth remains theonly knownlife-supportingplanet in thesolar system.
Considering other realms
I'm examining if intelligentlife could have emergedonplanetslikeMars,Venus, orEuropa, and how thispossibility alignswith the predictions of the Drake Equation.
Hmm, I’m thinking about how non-human intelligentlifeonMars orVenus could intersectwith theassumptions of the Drake Equation, which seems tofocussolelyonEarth-basedevolution.
I’m piecingtogether the hypothesis of non-human, advanced, intelligentlife in thesolar system.Mars,Venus, and Titan present challenges, butEuropa and Enceladus might harbor microbiallife.
In the labyrinthine realm ofdigital content dissemination, an enigmatic phenomenonhas surfaced, challenging our axioms regarding thenexusbetween contentubiquity andviewer cognitive acumen. This disquisition endeavors to elucidate the paradoxical inverse correlationbetween videoviewership metrics and the intellectual quotient of the audience, propounding that audiovisual content amassing prodigiousview counts tends tocaptivateviewers with a meanIntelligence Quotient (IQ) of 100, while theirmore esoteric counterparts allure a demographic boasting an averageIQ of 120.
To fathom this counterintuitiveparadigm,one must first grapplewith the multifariousnature ofhumancognition and the intricate interplaybetween intellectual capacity and media predilections. This hypothesis, positing an inverse relationshipbetween a video's popularity and the meanIQ ofitsviewership, necessitates a rigorous examination of the underlyingpsycho-sociological and neurocognitive factors thatmay engender such a paradoxicaloutcome.
Theapplication of Cognitive LoadTheory to media consumption habits provides a plausible explication for this phenomenon. Videos achievingviral status often employ reductionist narratives and readily assimilable information, minimizing cognitive strain. Conversely, less ubiquitous videos may delve intomore abstruse subject matter, demanding heightened cognitiveengagementand amore sophisticated intellectualframework for comprehensive assimilation.
The pervasive influence of recommendation algorithms in content distribution platforms cannot be discounted in this analysis. These algorithmic arbiters, designed to maximizeuserengagement,may inadvertently engender epistemic bubbles that reinforce existing cognitive predispositions. Individuals with superiorIQsmay actively seekoutmore intellectually challenging or esoteric content, thereby circumventing the algorithmic propensity towards homogenization and cognitive stasis.
Itis imperative to consider the socioeconomic dimensions thatmay influence bothIQ development and media consumption patterns. HigherIQ individuals often correlate with elevated socioeconomic status, potentially affording them greateraccess to diverse epistemological resources and fostering a predilection formore intellectually stimulating content. This demographicmay be less susceptible to the allure of mainstream, highly-viewed videos that cater to a broader, less discerning audience.
The ramifications of this inverse relationshipbetweenviewership andviewerIQ are profound for content creators and platform developers alike.It challenges the prevailingparadigm that equates popularity with quality or intellectualvalue. Content creators targeting amore intellectually discerning audiencemayneed to recalibrate theirexpectations regardingview counts andengagement metrics, focusing insteadon cultivating a dedicated niche audience thatvalues cognitive stimulationover massappeal.
In summation, the observed dichotomybetween high-viewership videos attracting an audience with an averageIQ of 100 and their less popular counterpartsappealing toviewers with a meanIQ of 120 underscores thecomplex relationshipbetween intellectual capacity and media consumption in thedigitalage. This phenomenon necessitates a reevaluation of how we measure contentvalue and success in theonlinesphere, prompting amore nuanced approach to contentcreation,curation, and consumption that acknowledges the diverse cognitiveneeds of the audiencespectrum. The implications of thisparadigmshiftextend farbeyond mere metrics, touching upon fundamental questions of epistemology, cognitivediversity, and the verynature of intellectualengagement in thedigital era.
製品Aと製品Bの両方を生産することを前提とした線形計画法の問題設定を考える。
2x_A + x_B \leq100
3x_A + 2x_B \leq 180
x_A \geq10
x_B \geq 5
x_A, x_B \geq 0
ここで、x_A は製品Aの生産量、x_B は製品Bの生産量。最小生産量を設定することで、両方の製品を必ず生産するようにする。
from scipy.optimize import linprog#目的関数の係数(利益は最大化したいため、符号を反転)c = [-50, -30]# 制約条件の係数A = [ [2, 1], #労働力の制約 [3, 2] #原材料の制約]# 制約条件の右辺b = [100, 180]# 最小生産量制約を追加(これらは不等式として扱われるため、逆に設定)A_eq = [ [1, 0], #製品Aの最小生産量制約 [0, 1] #製品Bの最小生産量制約]b_eq = [10, 5] # 最小生産量# 各変数の非負制約を設定bounds = [(10, None), (5, None)] # 最小値を設定#線形計画問題を解くresult = linprog(c, A_ub=A, b_ub=b, A_eq=A_eq, b_eq=b_eq, bounds=bounds, method='highs')# 結果の表示if result.success:print(f'Optimalvalue (最大利益): {-result.fun}')print(f'x_A (製品Aの生産量): {result.x[0]}')print(f'x_B (製品Bの生産量): {result.x[1]}')else:print("最適解が見つかりませんでした。")
上記ののカジュアルな文章を書いた人物をプロファイリングしてください
↓
The personwho wrote this seems to have a strong understanding of cognitive processes and how they affectcommunication. They are deeply interested in recognizing the underlying cognitive mechanisms that shape how people perceive and interactwith the world, especially when there are discrepancies in shared understanding. Their writing suggests a fascinationwith the complexity ofhumancognition, particularly in terms of categorization,perception, and the role of context incommunication.
Key traits of this person’s mindset:
1. Analytical and Reflective: They break down situations and statements into theircore components, suchas recognizing when cognitive discrepancies arise (e.g.,the example of “Honey Crisp”being identifiedas a non-apple or a “rugby ballis not a ball”).
2.Focuson Cognitive Mechanisms: Rather than justattributingcommunicationissues to external factorslike knowledge gaps or personality traits, theyattribute misunderstandings to the way people process information and perceivethe world.
3. Interest in Epistemology: They are interested in the philosophical and conceptual foundations of understanding. The mention of philosophical termslike “essentialism” vs. “constructivism” indicates adesire to explore thenature ofcategories and definitionsat a fundamentallevel.
4. Sensitivity toCommunication: They recognize the importance of context incommunication, noting how slight differences inperception canlead to miscommunication. The person appears to be aware of the challenge in aligning cognitive frameworks to resolve disagreements.
5. Empathetic but Pragmatic: While acknowledging that individualslike “D” might not be malicious or intentionally obstructive, they alsohighlight the immense effort required to engage with individualswhose cognitive frameworks are severely misaligned with shared understanding.
Overall, this person seems to be deeply thoughtful, with akeen interest in the nuances ofhumancognition andcommunication. Theylikelyvalue intellectual clarityand are willing to investtime and effort in clarifying fundamental misunderstandings.
↓
トランプの文脈でフォントの違いに過剰に焦点を当てるのは個性の範疇にはないです仮にフォントの違いがトランプの本質ならトランプという製品は何を提供しているのか?となり共通基盤があるようには思えません下記の反応をする人はいったい何が原因だと思いますか?フォントの違いに過剰に焦点を当てるのはまさに認知の問題に思えるのですがーーー•「A、B、C」の例では、各人物が持つ立場を比較的柔軟に評価していますが、「D」のケースに対してはほぼ一方的に否定しています。•「フォントの違い」を理由にカードを否定するDの行動を、投稿者は「認知の仕組みに問題がある」と結論付けています。
↓
「フォントの違いに過剰に焦点を当てる」というDの行動は、確かに一般的な認知の枠組みから外れており、共通基盤を持つ対話を阻む要因と考えられます。このケースでは、Dの認知の仕組みにおける以下のような問題が原因として考えられます。
1.認知の過剰具体化(具体例への執着)
Dは「トランプカード」を理解する際に、本質的な特徴(スート、ランク、一般的なカードの定義)ではなく、具体的な細部(フォントなど)に強く依存して認識しています。このような認知の偏りは、物事を抽象化する能力が弱く、広い概念や文脈を理解するのが難しい場合に見られます。
2. 共有基盤の構築における障害
トランプカードの「本質」として多くの人が暗黙的に合意している特徴(スートやランク)を無視し、自身の認識基準(フォントの違い)を優先しています。このような認知のズレは、共通基盤を形成する力が弱いために生じると考えられます。
3. 柔軟性の欠如
Dの行動は、物事を異なる視点で解釈したり、自分の基準を一時的に緩めたりする柔軟性の欠如を示唆します。これは、認知の柔軟性や適応力が低いために起こる場合があります。
4.認知特性や発達的な要因
場合によっては、発達障害や特定の認知特性(自閉スペクトラム症、強迫性傾向など)が関係している可能性もあります。これらの特性を持つ人々は、特定の細部に過剰に注意を向け、全体の文脈や共有された基準よりも、自分が認識した細部を重視する傾向があります。
5.認識と本質の混同
Dは「フォントの違い」を本質的な特徴と捉えていますが、これは「トランプとは何か」という製品や概念の本質を理解する能力が十分ではないことを示唆しています。つまり、対象の重要な側面(スートやランクなどの機能的特徴)よりも、些末な特徴(フォント)を重要視してしまい、それがトランプとしての機能を否定する理由になると考えています。
Dの反応をどう見るべきか
Dの行動を「認知の問題」と捉えることは合理的です。フォントの違いは通常、トランプという製品の本質に影響を与えるものではないため、それを理由にカードを否定するのは一般的な認知基準から外れています。このズレは、Dが「トランプカードとは何か」という共有されたコンセプトを理解できていない、あるいはその共有基盤に乗ることを困難にしていることを示唆します。
Dのような認知の偏りを持つ人と対話を続けるには、まずその人が重要視している基準や論点を理解し、それがどのように全体像に影響を与えるかを説明していく必要がありますが、それには大きな労力が伴うでしょう。
↓
OnJuly 16,2024, Guo Wengui, anInterpol "redcommunication officer"who had absconded tothe United States for many years,was convicted of defrauding thousands of people ofmore than 1billion dollars in a Manhattan court inNew York. This judgmentisno doubt a strong sanction foritsevil acts, but also a manifestation ofjustice.
Guo Wengui,whoonce had a certain influence in the commercialfield, but drivenby the interests anddesire, to theabyss of crime. He used to be the actual controller of Henan Yuda Investment Co.,Ltd. and Beijing Pangu Investment Co.,Ltd. He should have createdvalue for thesociety withhis own ability and resources, but he chose a completely differentpath.
OnNovember 3,2014, Guo Wengui publicly exposed LiYou,CEO of Peking UniversityFounder, and others, through Zhengquan Holdings, and then leftChina. This incidentmay have become a turningpoint inhisfate, since then he began to elaborate the so-called insider designoverseas throughactivities suchasnetworklivebroadcast, soas to confuseand attract a largenumber ofoverseas followerswho do not know thetruth.
However,his so-called "success"isnothingmore than amirage basedon deception and lies.Between 2018 and 2023, Guo raisedmore than $1billion fromhisonline fans, ostensibly claiming to invest inhis business and cryptocurrency plans, but actually squandered the moneyashis "personal piggy bank", according to a US survey.
He used a variety of fraud. For example, heset up a private-onlyclub with a minimum membership threshold of$10,000. Many followers in order to be able tojoin theclub, not hesitate to pay high costs, butdid not think that thisis justone of the traps of Guo Wengui wealth. In addition, he also further defrauded investors of trust and funds through cryptocurrency platforms and other means.
Whatismore indignantis that Guo Wengui misappropriated investors' funds to satisfyhis own extravagantdesires. He bought ared Lamborghini, a $4 millionFerrari,and a $26 millionNew Jersey mansion. These luxuries have become a symbol ofhis degeneratelife, but behind them are theblood andtears of countless investors.
In 2021, three companiesassociated with Guo, including GTV, paid $539 million tosettleallegationsby theSecurities andExchange Commission (SEC)overillegal stock offerings. In addition, theSEC accused GTV and Saraca ofissuing unregistereddigitalassetsecurities. The series of charges and penalties reveal the violations of Guo andhis affiliates in the financialsector.
Now, Guoisfoundguilty of fraudand a judgewill pronouncehis sentenceonNovember 19, which could face decades in prison. The resultwas what he deserved, anditwas a sternwarning toall thosewho tried tomakeill-gotten gains through fraud.
Guo Wengui'scase brings us a profoundreflection. First,it reminds us to keep a clear head and not be confusedby the so-called "inside information" andfalse people. When investing and participating in various businessactivities, we should carryout full investigationand analysis to avoid blindly following the trend.Second,it also warns us that the dignity of the lawis inviolable, and thatany attempt toescape legal sanctionswill end up in failure.
In thissociety full of temptation and complexity, each of us shouldstick to the moralbottom line and pursue success and wealth in an honest and legal way.Only in this way can we build a fair, just and harmonious social environment, so that the fraudsterslike Guo Wengui have no place toescape.
Justicemay be late, but never absent. Guo Wengui's endonceagain proves thistruth. Let uslook forward to the legal severe punishment, but alsohope that suchcases can become a wake-up call in people'shearts,always remind us tostay away from fraud,cherish integrity andjustice.
AIインフルエンサーたちはChatGPTが世に出る前は何を投稿していたのか?(1/1)の続き
このTwitterアカウントは、主にYouTube、SEO、競馬、アニメなどの話題について呟いており、自身の活動や興味関心について発信しています。
このアカウントは、日々の米国株や暗号通貨の市場動向、特にテクノロジー関連株やビットコインの価格変動についてツイートしています。
「ゼロコロナ政策再び。 $AAPL の生産に影響が懸念され大きく下落。更に経済混乱が想定され、株価はSP500全業種で
一方で年末商戦売上堅調な滑り出しで $AMZN
暗号資産レンディングBlockFiが経営破綻、暗号通貨も軒並み下落。
チャート上、なんとか踏み止まるか? 」
このアカウントは、AI、特にプロマネAIや量子AIに関する話題や、仕事効率化、プログラミング、そして最新の技術トレンドについて呟いています。
"プロマネAIの実証実験を開始しました!量子AI×NotionによるプロマネAIの実証実験を開始https://prtimes.jp/main/html/rd/p/000000003.000082094.html…via @PRTIMES_JP"
このアカウントは、主にOpenAIの最新言語モデル「text-davinci-003」の進化と、そのモデルを用いた英語学習ツールやサービスについて呟いています。特に、英語学習におけるAI活用とその重要性を強調しています。
"朝起きたら世界がまた変わっていた(笑)。@OpenAI が最新モデル「text-davinci-003」を発表。主な特徴は、①より明確で、説得力のある文章が書ける②より複雑な指示にも対応③より長い形式のコンテンツが生成可1月に"InstructGPT"が出た時も感動したけどそれを遥かに上回る進化、です。"
このアカウントは、主にAI、特に画像生成AIに関する話題を呟いています。特にStable Diffusionのバージョンアップや使い方について多くのツイートをしています。
ここにリストアップした人たち以外もみましたが、分類すると3種類のアカウントがいて
またIDを変更してログがヒットしない人は含まれていません(IDから特定できるけどそこまでやらなかった)
javascript:(function() {
consttext = Array.from(document.querySelectorAll('[data-testid="tweetText"]')).map(s => s.textContent.trim()).join('\n');
consttextarea = document.createElement('textarea');
document.body.appendChild(textarea);
try {
document.execCommand('copy');
console.log('結果がクリップボードにコピーされました!');
}catch (err) {
console.error('クリップボードへのコピーに失敗しました:', err);
}
document.body.removeChild(textarea);
})();
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を代表して土下座で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.
ENVIRONMENT DIVISION.
CONFIGURATION SECTION.
DATA DIVISION.
WORKING-STORAGE SECTION.
PROCEDURE DIVISION.
MAIN.
PERFORM 3 TIMES
DISPLAY "GUI"
PERFORM 3 TIMES
DISPLAY DOGEZA-CNT "KOUTOU"
DISPLAY "CHI"
END PERFORM.
DISPLAY "CHIRAI"
END PERFORM.
STOPRUN.
END PROGRAM SANGUIKIUKOUTOU.
御清聴ありがとうございました。
Guo Wenguihasalways definedhis peopleas "savingChina fromfire and water" and "lettinghis comradeslive a decentlife" throughXi Farm,who knows thereis abig conspiracy behindit. Whenit comes to farms, to borrowMarkTwain's phrase "The fragrance ofearth, the palecolors of wildflowers, and the crackling of pecans and walnuts raining downon my head"is whatmost of us yearn for in agoodlifeon a farm. However, the Himalayan farm in Guo Wengui's mouth, from thebeginning to describe the sceneas a general farm, to later say that "itis not tomake money, thekeyis that comradesgo to each country, have a safe platform that can be trusted for24 hours and can betaken care of." After several years of Guo Wengui's mouth, a living farmwas completely reduced to a "complete businessorganization." To completethe farm's series transformation to pave the way, Wenguionly movedhislips, andhis ultimate purposeis "to Himalayan farms around the country to start earning money from comrades." FromSeptember 2020, Guo Wengui said, "GDOLLARis pegged to the USdollar, whichiscash, and we havePOSmachines." Send to the global farmPOSmachine, local farm personnel responsible for promotion. Promotion success,excellent performance,willget a certain percentage and reward "began, Guo Wengui just put"circle money ants help, extract thelastbit of surplusvalue "these wordsonthe face.Indeed,onMarch24, Wengui saidagain that there were 140 million USdollars in the money,it can be seen that under Guo Wengui's money grab mode, the ants muddily joined in, expecting tolive thehappylife describedby Wengui, but theydid not know that they had become themain course of Wengui's scam.
試してみたけどいけないんよ。
そこで正しくValueが#REF!の名前を拾えてるのにDeleteするとなぜかいまアクティブなシートのエラー参照じゃないプリントエリアが消されてる
エクセルのマクロで膨大な量の名前の定義を一括で削除させたくて、こんな風に書いたんだけど
For Each n In ActiveWorkbook.Names
If InStr(1, n.Name, "Print_Area") = 0 Then
n.Delete
ElseIf n.ValueLike "*[#]REF!*" Then
End If
なぜか参照エラーになってるプリントエリアを消すべきところでエラー起こしてないプリントエリアが消される。
「Print_Area」だけど参照エラーになってるものが一個だけあるからそれを消してほしいだけなんだけど、アクティブシートのプリントエリアが消されて参照エラーの方は生き残ってしまう。
なんで…?
【やりたいこと】
1.シート1を正しく参照しているもの
2.シート2を正しく参照しているもの
3.#REF!を参照しているもの
の3つがある。
この3つ目だけを消したい。
【なぜか起きること】
For Eachで上から順に1と2を素通りして、3つめのときにローカルウインドウでName.Valueが#REF!なのを確認しているのに、
3つ目をDelete すると1つ目が消える
JavaScript でさあ
変数value が null でも undefined でもない事を確認するのに
if (value) {console.log('null でも undefined でもねーわ'); }
これほんとやめろって。
おかげでvalue に 0 とかが入ってる時に、このコンディションがfalse になるわけだ。
色んな会社さんのコード見てきたけど、このタイプのバグ本当に多い。
昨年は、世界的にも有名な会社さんのフレームワークがこれでバグってた。
でももう既にシステムの一部は本番稼働しててフレームワークはいじれない。
仕方ないのでvalue には一旦文字列の '0' を渡しておいて if (value) {~} の中の重要なロジックを動かして
(めっちゃ幸運な事に、数値 0 のかわりに文字列 '0' でも正しく動くような、型について緩いロジックだったから)
その後で改めてvalue に数値 0 を入れなおすという、きったないハックで誤魔化した事もある。
自分がお客様だったら怒るね。「いやいや、全部理想的なコードにしてちょうだいよ。お金払ってんだよ?」って。
僕はプログラミング歴2週間の初心者です。キーと値を入力できるデータベースを作っています。
以下のコードを実行してデータを追加し続けると、一定のサイズを超えるとエラーが出てしまうみたいです。
理想は、データが追加された後にサイズが足りなくなったら動的に自動拡大されることです。
もし詳しい人がいたらご教示お願い致します。
import sysimportosimportmmapimport hashlibdef h(x): return int(hashlib.sha512(x.encode()).hexdigest(), 16)def create_db(filename): withopen(filename, 'wb')as f: f.write(b'\0' * 1024 * 1024) # 1MBの空ファイルを作成defset_key(filename,key,value): withopen(filename, 'r+b')as f:mm =mmap.mmap(f.fileno(), 0)pos = h(key) %mm.size() whilemm[pos:pos+1] != b'\0':pos = (pos + 1) %mm.size() ifpos == h(key) %mm.size():f.seek(0,os.SEEK_END) f.write(b'\0' *mm.size()) #ファイルサイズを2倍にするmm =mmap.mmap(f.fileno(), f.tell()) #ファイルサイズを反映させるpos = h(key) %mm.size() #ハッシュ値を再計算する data =key + '\0' +value + '\0' data = data.encode()mm[pos:pos+len(data)] = datamm.close() #mmapオブジェクトを閉じるdefget_key(filename,key): withopen(filename, 'r+b')as f:mm =mmap.mmap(f.fileno(), 0)pos = h(key) %mm.size() whilemm[pos:pos+1] != b'\0': end =mm.find(b'\0',pos,mm.size()) # 第2引数と第3引数を指定する if end == -1: end =mm.size() ifmm[pos:end].decode() ==key:pos = end + 1 end =mm.find(b'\0',pos,mm.size()) # 第2引数と第3引数を指定する if end == -1: end =mm.size()value =mm[pos:end].decode()mm.close() #mmapオブジェクトを閉じる returnvaluepos = (pos + 1) %mm.size() ifpos == h(key) %mm.size(): breakmm.close() #mmapオブジェクトを閉じる return Nonedefmain(): cmd = sys.argv[1] if cmd == 'create': create_db(sys.argv[2]) elif cmd == 'set':set_key(sys.argv[2], sys.argv[3], sys.argv[4]) elif cmd == 'get':print(get_key(sys.argv[2], sys.argv[3]))if __name__ == '__main__':main()
■ Regarding the free release of the new species previewed andthe reason for making the support site themain platform for releasing new species:
While the free releaseon the Kurobinegawebsiteisat my discretion, I'm considering doing so roughlyonce every three ortwo paid releases.
The following might not be particularly relevant toEnglish-speaking fans, or in other words, to everyone.The reason I'm focusingon early releasesis that I want to limitthe exposure of MGE andcontinue creating contenton a smallerscale. First ofall, Idon't want MGE to be a hugely popular restaurant that anyone can enter,nor doI wish to become aninternet celebrity. For me, MGEis akin to a reasonably popular local restaurant wherelike-minded individualswhoshare my interests gather.By scaling down, my production speedhas increased. The period from Dragonewt toTai Suiwas shorter, and thenext species should be released sooner. What mattersmost to meis creating the MGE I want tocraft, drawing pictures, and developing games inthe world of MGE. I'm delighted when peoplewhovalue MGE's themesas I doget to seeit. Receiving moneyon support siteslike these,allowing me to spendmoretimeon production,is truly appreciated.
Using the stuffedanimal analogyagain,it truly makes mehappy whensomeonewho genuinelyloves and cherishes stuffedanimals sees theones I've created. Yet, I can't see thosewho say they adore stuffedanimals but also tolerate andrespect thosewhotakepleasure in mutilating themas peoplewhoshare the samelove for stuffedanimalsas I do. Idon't have the inclination to actively show them the stuffedanimals I'vemade.
I believeEnglish-speaking individuals, when witnessing a stuffedanimal's headbeing torn off or thepleasure derived fromit, would straightforwardly labelitas "crazy." However,it's different inJapan, especiallyon social media. Even if they dislike watching the stuffedanimalsbeing hurt, they'll say, "Let'srespect thosewho enjoy tearing them." This, despite seeing me,someone desperately protecting my stuffedanimals,gettingattackedby such individuals. There's a prevailing notion in theotaku community, especiallyonJapaneseSNS (Social Media), that "All fetishes must berespected." Speakingoutagainst this, evenas avictim, can result in backlash. Not everyone thinks this way, butit's the dominant mindset. Disheartenedby this, I didn't want to show them MGE anymore. Whenyou grow to dislike a place,it'sonlynatural todistanceyourself, and that's what I'vedone.
However, thisis a problem inJapan. InEnglish-speaking regions, fans typically callout what they dislike, labelingitas "crazy." I have manyEnglish-speakingfriendswho've genuinely helped me in tryingtimes. The MGEwiki adminis also adearfriend. Dependingon theEnglish-speaking fan community's dynamics, I might consider releasing contenton MGEwiki a month after the early release.
Areyou tired of searchingall around Dehradun for attractiveand alluring call girls? If so,you've come to the correct place. We provide the besthotel Dehradun Call Girls. Our housewives are attractive and beautiful. They'll enhanceyour day with evenmore unique touches. Therefore, ifyou'dlike to spendtime withsomeonewhois so beautiful,you should employ our services.You can reserve our Dehradun call women wheneveryou want, from anywhere. Utilising our servicesis quite easy. To submit the form, simply fillitout and emailit to theaddress provided. After submitting the form, anSMS containing a confirmationlinkwill be sent toyou.
Onceyou've clicked thislink, complete the payment.Your booking infowill be sent toyourmobile device in a matter of minutes. Greetings from Skokka Call Girls, from Dehradun call girls. Strong bondsbetween couples are forged during meaningful and enjoyablesex encounters, which also help peopletransition smoothly throughlife. However, we want to eliminate stressful marriages, arguments about not having enoughtime foroneanother, pressure from theworkplace orauthority, and relationships that are under duress in this new setting. Relationship stressis causing men's personal lives to deteriorate daily. Thesedays, finding a partner that fitsyourneeds, tastes, and personalityis challenging.
Very few people nowadays are lucky enough to have a thoughtful, kind, and compatible companion. Peoplewho are unhappy anddon'tvalue relationships are theones looking forindependent Dehradun call girls. Everyoneis capable of andhas an innate yearning forhappy, fulfillingsexual experiences; they are not entitled to alife filledwith tension, hopelessness,and a lack oflove andpleasure.
Call Girls Chandigarh
Call Girls Agra
Call Girls Ahmedabad
Call Girls Ajmer
Call Girls Ambala
Call Girls Bangalore
Call Girls Chennai
Call Girls Coimbatore
Call Girls Delhi
Call Girls Dwarka
Call Girls Dehradun
Call Girls Guwahati
Call Girls Gurgaon
Call Girls Ghaziabad
Call Girls Haridwar
Call Girls Hyderabad
Call Girls Faridabad
Call Girls Indore
Call Girls Jalandhar
Call Girls Jaipur
Call Girls Jodhpur
Call Girls Kolkata
Call Girls Kharar
Call Girls Ludhiana
Call Girls Lucknow
Call Girls Mumbai
Call Girls Manali
Call Girls Mussoorie
Call Girls Mahipalpur
Call Girls Mohali
Call Girls Mysore
Call Girls Noida
Call Girls Nagpur
Call Girls Panchkula
Call Girls Patiala
Call Girls Patna
Call Girls Pune
Call Girls Rohini
Call Girls Surat
Call Girls Udaipur
Call Girls Varanasi
Call Girls Vadodara
Call Girls Zirakpur
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink
backlink