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はてなキーワード:writeとは
たぶん「別に何も変わらないよ」と言う人が大半だろう。 でも「いや、けっこう決定的に何かがズレる」かもしれない。
授賞式のあと、記者会見で村上春樹は、たぶんいつもの調子で、少し照れながら、淡々とした英語でステートメントを出す。
猫とか、走ることとか、ジャズとか、そんな話題がちょっとだけ混ざる。
スウェーデン語、英語、中国語、アラビア語、スペイン語、いろんな言語で彼の言葉が翻訳される。
「村上春樹」という固有名と、「ノーベル賞」という単語が強く結びついたことで、アルゴリズムが「この人の言葉は、特別な重みを持つ」と判定してしまう。
その結果、彼のインタビュー記事だけ、ほんの少し「やわらかく」翻訳されるようになる。
本来なら “I justwrite what I canwrite.” と訳されるはずの文が、別の言語では「自分にできることを、ただ静かに続けてきただけなんです」と、余計なニュアンスを帯びてしまう。
でも、世界中の翻訳メモリの中で、「誠実な揺らぎ」とでも呼ぶべき偏りが、じわじわと蓄積し始める。
棚を整理していた店主が、ふと「ノーベル賞作家コーナー」を作ろうとして、手を止める。
新潮文庫の『風の歌を聴け』を手に取って、ドストエフスキーやカミュの横に置くか、それとも日本文学コーナーに残すか、悩む。
たいていの店主は、日本文学棚から一冊だけ抜き出し、「ノーベル賞」のプレートの下に、さりげなく並べる。
その瞬間、棚全体の「重心」が、ほんの数センチ動く。
カミュの『異邦人』の隣に『ノルウェイの森』が来る店もあるし、ガルシア=マルケスの『百年の孤独』の脇に『世界の終りとハードボイルド・ワンダーランド』が差し込まれる店もある。
知らない誰かが、そこで一冊を手に取る。
「ノーベル賞作家なら読んでみようかな」と思って買う人もいれば、「高校のとき挫折したけど、また読んでみるか」とレジに持っていく人もいる。
その「もう一度読んでみる」という行為が、実はけっこう世界を変える。
ひとつの物語を、異なる年齢で読み直すことは、人生の時間軸をちょっとだけ折り曲げるからだ。
遠くない未来、日本のどこかのワンルームで、小説を書いては消している人がいる。
それまでは、締切のたびに「どうせこういう文体はもう古い」と思って、原稿をフォルダごと消していた。
けれども、ニュースで「村上春樹ノーベル賞受賞」という文字列を見た夜、指が止まる。
「時代遅れ」と心のどこかで断罪していた「一人称で、ちょっと距離のある語り口」や、「よく分からない井戸」や「耳の形の描写」を、もう一度だけ許してみようと思う。
その人は、削除済みフォルダから原稿をサルベージして、改稿し、応募する。
数年後、ひっそりとデビューする。その作品は大ベストセラーにはならないが、誰か一人の人生を確実に変える。
それを読んだ別の若い誰かが、「こういう小説を書いてもいいんだ」と思う。
この連鎖が続いた結果、20年後の日本文学史の片隅に「ポスト春樹的な何か」という、名前のつかない小さな潮流が記録される。
ノーベル賞受賞後、世界中の出版社は、村上春樹の作品をさらに多言語に翻訳して売り出す。
その新しいデータが、大規模言語モデルの学習コーパスに流れ込む。
従来のAIなら、「休息を取りましょう」「専門家に相談しましょう」といった、正しいけれど味気ない答えを返していた。
しかし、そのモデルは、学習した村上春樹的なリズムをうっすらと真似て、こう返す。
「ひと晩だけ、よく眠れる街に行ってみるといいかもしれません。
コインランドリーと古いジャズ喫茶があって、誰もあなたの名前を知らないような街です。
そこで洗濯機が回っているあいだ、お気に入りの音楽を一曲だけ聴いてみてください。
世界は、それだけでほんの少しだけ、違う顔を見せることがあります。」
それを読んだ人が、「なんか、分からないけど少しだけ楽になった」と感じる。
たった一人の気分が、5ミリだけ上向く。
バタフライエフェクト的には、それで十分すぎる。
村上春樹の受賞は、「売れている作家」「広く読まれている作家」が、必ずしも軽んじられるべきではない、という前例になる。
それまで「実験的すぎて一般には読まれない」ことが価値とされていた傾向が、ほんの少しだけ揺らぐ。
「世界中で読まれていること」と「文学性」が、必ずしも対立概念ではないのかもしれない、と誰かが言い出す。
その議論の延長線上で、今までは候補にも挙がらなかったタイプの作家が、リストに入る。
その人はインタビューで「十代のころに、村上春樹がノーベル賞を取ったニュースを見て、『あ、こういうのでもいいんだ』と思ったんです」と語る。
村上春樹の受賞は、別の誰かの受賞の「前提条件」に化ける。
バタフライの羽ばたきが、遠い未来の別の嵐の「初期値」になる。
仕事の帰りにコンビニに寄って、スポーツ紙の一面を見て、「マジか」と小さく笑う。
家に帰って、本棚の奥から、大学生の頃に読んだまま放置していた文庫本を取り出す。
ページをぱらぱらめくると、線を引いた覚えのない箇所に、うっすら鉛筆の跡がある。
「この一文に、あのとき引っかかっていたんだな」と、昔の自分に少し驚く。
今読んでみると、当時は気づかなかった別の箇所が刺さってくる。
たとえば、こんな感じの一節：
「世界というのは、だいたいいつも、わずかにバランスを崩しながら、それでも何とか立っているようなものなんです。」
（これは架空の文だけど、春樹っぽさは伝わると思う）
読み終わったあと、あなたはスマホを手に取って、誰に送るでもないメモを書き始める。
それを翌朝読み返して、「案外悪くないかもしれない」と思う。
消さずに残しておく。そのメモが、数年後、何か別の形――ブログか、小説か、子どもへの手紙か――に変わるかもしれない。
村上春樹がノーベル賞を取ったことで、あなたの中の「書いてもいいかもしれない何か」が、ほんの少しだけ動き出す。
世界規模から見れば誤差だけれど、あなたの時間軸にとっては、十分に大きな揺らぎだ。
7.世界はそんなに変わらない、でも「読み方」は変わる
戦争が止まるわけでも、景気が劇的に良くなるわけでもない。
満員電車は相変わらず混んでいるし、会社の会議は相変わらず退屈だし、洗濯物は相変わらずたまる。
でも、「世界の読み方」は、少しだけ変わるかもしれない。
そんなふうに、日常の現実に、うっすらと「物語のレイヤー」が重なる。
「世界を物語として読む人」が、ほんの少しだけ増える出来事なのかもしれない。
そして、バタフライエフェクトというのは、
ChatGPT:
はい、Delphi（ObjectPascal）のソースも読めますし、解説・リファクタ・バグ箇所の指摘・他言語への移植案など対応できます。
VCL /FMX、Generics、Interface/RTTI、プロパティ/イベント、レコード・セット型、メモリ管理（string/AnsiString/UnicodeString の違い）、スレッド（TThread / TTask）、WinAPI/COM 呼び出し、uses単位構成、.dfm（フォーム）やリソース周りもOKです。
コードを貼ってくれれば、1ステップずつ説明や改善案を出します（DelphiのバージョンやVCL/FMXも書いてあると精度上がります）。
UNIFACEはどう？
ChatGPT:
はい、UNIFACE（Proc言語）も対応できます。フォーム/サービス/レポート/エンティティなど各コンポーネントのトリガ（initialize, validate, leavefield など）、operation／entry、newinstance/activate/call、retrieve/e, read,write、エラー制御（$status, $procerror）や論理名・assignment(.asn)、署名/パラメータ、DSP/REST・SOAP連携、DBドライバ設定までOKです。
コードや .asn を貼っていただければ、処理フローの解説、バグ箇所の指摘、リファクタ、他言語・他フレームワークへの移植案（例：REST API化、Java/Python 置き換え）まで具体的にやります。
可能なら UNIFACE のバージョン（9/10/10.4 など）、DB（Oracle/SQL Server 等）、OS を添えてください。
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Technologic Technologic
Technologic Technologic
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プログラマーって聞くと今の若い人は稼げる業種って思うかもしれない。でも昔は、そのイメージとはまるで真逆だったんだよ。
90年代初頭、日本はバブルの余韻が残ってたけど、IT業界なんてまだオタクの延長みたいに見られていた。NECのPC-9801シリーズがオフィスの定番で、OSはMS-DOS 3.3とか、その後にWindows 3.1が出ておお、マウスで操作できる！なんて騒がれていた時代だ。
もちろんインターネットなんて一般にはまだ普及してなかった。せいぜいパソコン通信。ニフティサーブ、PC-VAN、アスキーネット。回線速度は2400bps。ピーヒョロロっていうモデム音が夜中の住宅街に響いていた。
俺らはそういう環境でC言語やアセンブラを叩いてたんだ。コンパイルに時間がかかるから、トイレに行って戻ってきてもまだ終わってなかったりした。
今みたいにGitHubでコードを共有なんて夢のまた夢。ソースのやり取りはフロッピーディスクで手渡しだ。5インチのぺらぺらのやつな。運が悪いと磁気にやられて一発で飛ぶ。だから俺たちはよくフロッピー神社に参拝とか冗談言ってた。
正社員で手取り20万ちょっと。下請けやフリーランスだともっと安い。今でいうSESの走りみたいな人売りも普通にあった。客先常駐でCOBOLやらされてバグが出れば徹夜。オフィスに寝袋持ち込んで、カップヌードルと缶コーヒーの山を築く。徹夜明けに食う吉野家の牛丼が唯一のご褒美。今みたいにエンジニアは市場価値が高いなんて考え方はなかったからな。ただの駒だよ。
仕事は増えるのに単価は下がる。Windows 95の発売で世の中はインターネット元年なんて浮かれてたけど俺たちプログラマーの現実は泥臭いコード修正の山。Visual Basic 6.0やDelphiが出て「これで開発効率が上がるぞ」なんて言ってたが、結局は納期に追われるだけ。SunのJavaが登場したときも「Write once,run anywhere」なんて夢を見せてくれたけど、実際には動かないアプレットと格闘する日々。
Linuxが台頭してきたのもこの頃だ。
SlackwareやRed HatLinux 5.2をCD-ROM雑誌付録で手に入れて、夜な夜なインストールに挑戦。LILOがうまく動かなくて起動しない、ネットワークカードを認識しない、X Windowが真っ黒。そんな壁に何度もぶつかっては2ちゃんねる（当時はまだ草の根BBSが多かったが）やUNIX USER誌を読み漁って解決する。それが楽しくて仕方なかった。でも金にはならなかった。オープンソースに貢献しても無償の善意で済まされるだけ。Red HatやMySQL ABが上場するまでは、ただのボランティア活動と見なされてた。
今思うと、あの頃は純粋だった。
技術そのものが楽しくて、ASCIIやOh!Xを小脇に抱えて徹夜でコードを書いた。秋葉原でジャンクパーツを漁って自作PCを組み立ててベンチマークの数字で一喜一憂した。
飯代を削ってもSCSIのハードディスクに投資したし、月刊アスキーの付録CD-ROMに入ってたシェアウェアを片っ端から試した。儲けようなんて意識はなかった。ただ、面白いものを作りたかった。
それが今じゃITは完全に拝金主義。コードの美しさより投資家の顔色を見てる。エンジニアもどこが年収高いかばかりで、言語やフレームワークを選ぶ基準が金になっちまった。Pythonが流行るのもAIブームに便乗してのことだし、ブロックチェーンやNFTなんかバブルがはじける前提のネタ探しにしか見えなかった。
もちろん、技術が商業化されて豊かになった面もある。AWSやGCPのおかげで誰でも世界規模のサービスを立ち上げられるようになったし、GitHubやDockerで開発環境も夢みたいに便利になった。だがその一方で楽しいからやるという純粋さはどこへ行ったんだろう。GitHubの草がどれだけ生えてるかが採用基準になる時代。Qiitaに記事を投稿するのも、技術共有じゃなくて転職市場でのポイント稼ぎ。
あの頃には確かに、金ではなく面白さに突き動かされる熱があった。それが今は金の匂いに上書きされてしまったように感じる。
でも稼げなくても、やる価値があった。
今の若いエンジニアたちにその気持ちがどれだけ伝わるかは分からない。
当時「Hello, world.」と表示されるだけのプログラムに、30年前の俺は心を震わせていた。
The Power of Small Steps: How TinyChanges CanLead to MassiveGrowth
In a world that glorifiesovernight success and dramatic transformations,it's easy tofeellikeyou’refalling behind ifyou’re not makingbig leaps. But what if thesecret to real, lasting personalgrowth wasn’t in doingmore, faster—but in doing less, consistently?
Welcome tothe power of small steps.
Big goals oftenfeeloverwhelming.You want togetfit,write abook, start a business, or learn a new skill—butyoudon’t know where to start. Soyou procrastinate. Or worse,youdive in too fast, burnout, and give up.
Small steps bypassall of that.
Whenyou break down ahuge goal into manageableactions,everythingchanges. Writing 500 words a dayis less intimidating than finishing a whole novel. Ten minutes of walkingismore doable than committing to a 5K. And spending 15 minutes a day learning a language adds up toover 90 hours a year.
Consistencybeatsintensity everytime.
The Compound Effect
Imagine improving just1% every day. That might sound insignificant—butover a year,it compounds intosomething extraordinary. Thisideais the foundation of DarrenHardy’s The Compound Effect andJamesClear’sAtomic Habits. Bothbooks emphasize that small,smart choices, repeatedovertime,lead to radical results.
Think ofyour habitslike plantingseeds.At first,nothing seems to happen. But giveittime, andyou’ll seegrowthyou never thought possible.
Real-Life Example: The10-Minute Rule
Let’s sayyou want to start meditating but can’tsitstill for 30 minutes. Instead of forcingit,try meditating for just10 minutes a day. Or even 5. Build the habit before scaling the effort.Onceit becomes part ofyour routine, extendingthe timefeelsnatural.
This applies to nearlyeverything:
Want to readmore? Readone page a day.
Want to save money? Start with $1 a day.
Want toeat healthier?Swapone snack a day for a better option.
How to Start Taking Small Steps
Pickone goal
Don’ttry tooverhaulyour entirelifeatonce. Chooseonearea tofocuson—health, creativity, relationships, mindset,etc.
Breakit down
What’s the smallest possibleactionyou couldtake toward that goal?Makeit so easyyou can’tsay no.
Linkyour new habit to an existingone. For example: “After I brush my teeth,I’ll journal for 5 minutes.”
Trackit
Use a habit tracker, app, or notebook to keepyourself accountable. Seeingyourstreak growis highly motivating.
Everytimeyou follow through, giveyourself credit. Progressis progress, no matter how small.
Final Thoughts
Don’t wait formotivation.Don’t wait for the perfecttime. Just start—with whateveryou have, whereveryou are, and however small.
Because small steps,taken consistently, turn intobigchange.
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BuyIt UseIt BreakItFixIt TrashItChangeIt Mail UpgradeIt
ChargeItPointItZoomIt PressItSnapIt WorkIt Quick EraseIt
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Technologic Technologic
Technologic Technologic
Technologic Technologic
Technologic Technologic
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Technologic Technologic
Technologic Technologic
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Technologic Technologic
Technologic Technologic
Technologic Technologic
Technologic Technologic
Hey everyone. Idon't know where else to post this. Ineed towriteit down before I convince myself Iwas just hallucinating. I’m a grad student inJapan, doing fieldworkon forgotten local folklore. That'swhy Iwasout in theabsolute middle ofnowhere in Gunmaprefecturelast night.
My planwas to visit a tiny, dying village called Yomi-touge (notits realname) that supposedlyhas some unique traditions. Of course, my phonelostsignal hours ago, and mycar'sGPS, which I bought in 2015, decided to have atotal meltdown. Thesun went down. The mountainroads are narrow and winding,and a thick, soupy fogstarted to roll in. The kind of wet, heavyair that makesyoufeellikeyou’rebreathing water. Iwas completely, hopelesslylost.
After whatfeltlike an eternity of drivingat a crawl, Isawit. Alight. A single, brutallybright rectangle oflight cutting through the fog. Aconvenience store.One of thosebig chainsyou see everywhere, aFamilyMart or aLawson, I couldn't tell whichat first.I’ve neverfelt so relieved inmy life. I parked thecar and practically ran inside, thelittle doorchime sounding way too loud in the dead silence.
The insidewas…normal. Toonormal. Thelights were humming with a high-pitchedbuzz that drilled into my skull. The shelves were perfectly stocked. Theair smelled of cheapair freshener andsomething else…somethingsweet and hot,likeozone or burntsugar.
Hewas ayoungguy,maybe myage. Pale, drenched in sweat, with dark circles underhiseyeslike bruises. He moved with a painful stiffness,like every jointwas rusted. He muttered a "Irasshaimase…" without even lookingat me,hiseyes fixedon the counter.Hisarms were covered in these intricate, dark tattoos, winding fromhis wrists up underhis sleeves. I figured hewas just sick, oron a roughshift. Ifelt bad forhim.
I grabbed a can of coffee and went to the counter. "Sorry to botheryou," Istarted inJapanese, "I'm prettylost. Couldyoutell me where I am?"
He looked up, andhiseyesdidn't seem tofocuson me.Itwaslike hewas lookingat ascreen a few inches in front of my face. "We do not provide directional information," he said,hisvoice aflat, rehearsed monotone. "Will that beall foryou?"
Okay,weird, but whatever.Maybeit's store policy.As he reached for my coffee,his sleeve slid up. The tattoosonhisarm… they weren’t just pictures. For a split second, Iswear toGod, the lines ofinkshifted. They writhed,like tiny black worms underhisskin,and a patch ofhis forearmglowed with afaint, sicklyredlight. He flinched, asharp intake ofbreath, and quickly pulledhis sleeve down.
I just froze. I couldn’t have seen that, right? Iwas tired, myeyes were playing trickson me.
The personwho walked in… Idon’t know how to describe them.Itwas aman, I think. Hewas tall and wore an old, soaked trench coat. Buthis face…itwaslike my brain refused to processit.Itwasn't that he had no face,itwas that myeyes wouldslide right offit.Itwas ablur, aglitch, a 404error inhuman form.
Theclerkdidn't seem surprised. Hedidn't even seem to seehimas strange.His posture just became evenmore rigid. Theredglowonhisarm pulsedagain,brighter thistime, visible throughhis sleeve.
The facelessmandidn't speak. He just stood there. Theclerk, without aword, turned. But hedidn'tgo to the coolers. He kepthis back to theman, and heldouthis left hand,palm up. I heard asoft, wet, squelching sound. From a small, dark slit in the center ofhispalm that I hadn't noticed before, a smallcarton of strawberrymilk, the kindyou give tokids, just… emerged.Itwas producedout ofhis hand.Itwas wet with a clear, viscous fluid.
He placediton the counter. "Hereis the requested product," theclerk said,hisvoice straining. "The transactionis complete."
The facelessman picked up the strawberrymilk. He putit inhis coatpocket. And then he just… faded. Hedidn’t walkout the door. He dissolved into the hummingair,likeheat haze. A second later, hewasgone.
Theclerk letout a long, shudderingbreath and swayedonhis feet. He leaned heavilyon the counter,his face sheet-white. He looked utterly, existentially exhausted. Hesaw me staring, my mouth hangingopen, the can of coffeestill in my hand.
For the firsttime, aflicker ofsomething real,somethinghuman, crossedhis face.Itwaspure, undiluted terror.
"You… are not a regular customer," he whispered,hisvoice trembling. "Your… conceptis too stable. Please. Leave."
Ididn'tneed to be told twice. I threw a 500yen coinon the counter and ranout of there so fast I think I broke the sound barrier. Ididn't eventake my coffee. I justgot in mycar and drove, Idon't know in which direction, I just drove.
I'mat a servicestationnow, about 100kmaway. Thesunis coming up. I can't stop shaking.Itwasn't adream.I knowitwasn't. Because when Iwas fumbling for my keys, I realized I had accidentally grabbed thereceipt from the counter.
It’s not for my coffee.It’s for the other transaction.It justhasoneitem listed.It doesn't say "StrawberryMilk."It says:
ITEM: CONCEPTUAL SALVATION (FLAVOR:CHILDHOOD NOSTALGIA) - 1 UNIT
PRICE: ¥0
METHOD: ANNULMENT
Has anyone seen a storelike this? What thehellis happening in the mountains of Gunma? Whatdid I see? AndGod, that poorkid working the counter. Heisn't in trouble. He's a part ofit. He's themachine.
一度投稿したうえで別タブを開いてプログラム的(fetch)に送信してその別タブが閉じられる仕組み。
// ==UserScript== // @namePGP未署名検出と別タブ自動編集 // @namespacehttp://tampermonkey.net/ // @version 1.0 // @descriptionPGP署名がない投稿を自動編集ページへ誘導 // @matchhttps://anond.hatelabo.jp/* // @grantGM_setValue // @grantGM_getValue // @grantGM.openInTab // ==/UserScript== (function () { 'use strict';constbody = document.getElementById('entry-page'); if (!body) return;consttitleText = document.title; if (!titleText.includes('dorawii')) return;constpgpRegex = /BEGIN.*PGP(?: SIGNEDMESSAGE| SIGNATURE)?/;const preElements = document.querySelectorAll('div.body pre'); let hasPgpSignature =false; for (const pre of preElements) { if (pgpRegex.test(pre.textContent)) { hasPgpSignature =true; break; } } if (hasPgpSignature) return;const editLink = document.querySelector('a.edit');const childTab =GM.openInTab(editLink.href, {active:false, insert:true,setParent:true }); })();
// ==UserScript== // @name編集ページ処理と自動送信・閉じ // @namespacehttp://tampermonkey.net/ // @version 1.0 // @description編集ページで署名処理と送信、タブ自動閉じ // @matchhttps://anond.hatelabo.jp/dorawii_31/edit?id=* // @grantGM_getValue // @grantGM_xmlhttpRequest // @grantGM_setClipboard // @grantGM_notification // @connectlocalhost // ==/UserScript== (async function () { 'use strict';const shouldRun = awaitGM_getValue('open-tab-for-edit', '0');consttextareaId = 'text-body';consttextarea = document.getElementById(textareaId); if (!textarea) return;const content =textarea.value;constpgpSignatureRegex = /-----BEGINPGP SIGNEDMESSAGE-----[\s\S]+?-----BEGINPGP SIGNATURE-----[\s\S]+?-----ENDPGP SIGNATURE-----/; if (pgpSignatureRegex.test(content)) {console.log('[PGPスクリプト]署名が検出されたためそのまま送信します'); return; }consthttpRequest = (url, data) => { return newPromise((resolve,reject) => {GM_xmlhttpRequest({ method: 'POST',url:url, headers: { 'Content-Type': 'application/x-www-form-urlencoded' }, data: `value=${encodeURIComponent(data)}`,onload: function (response) { resolve(response.responseText); },onerror: function (error) {reject(error); } }); }); }; //textarea の値を取得 // 1.現在のページのURLからURLオブジェクトを作成const currentUrl = newURL(window.location.href); // 2.ベースとなる部分 (例: "https://anond.hatelabo.jp") を取得constorigin = currentUrl.origin; // 3. 'id'パラメータの値 (例: "20250610184705") を取得constidValue = currentUrl.searchParams.get('id'); // 4.ベース部分とIDを結合して、目的のURL文字列を生成 //idValueが取得できた場合のみ実行する let newUrl = null; if (idValue) { newUrl = `${origin}/${idValue}`; } // 5. 生成されたURLを変数に代入し、コンソールに出力して確認console.log(newUrl);constvalueToSend = newUrl;try {const signatureText = awaithttpRequest('http://localhost:12345/run-batch',valueToSend);console.log('バッチ応答:', signatureText); if (!signatureText.includes('BEGINPGP SIGNEDMESSAGE')) { alert('PGP署名がクリップボードに見つかりませんでした。'); return; }const newText = content.replace(/\s*$/, '') + '\n' + signatureText + '\n';textarea.value = newText;console.log('[PGPスクリプト]署名を貼り付けました。送信を再開します。');const form = document.forms.edit;const newForm = form.cloneNode(true); form.replaceWith(newForm); newForm.addEventListener('submit', async (e) => { e.preventDefault(); //HTML標準のsubmitをキャンセルconstbodyText =textarea?.value || ''; //reCAPTCHAトークンの取得constrecaptchaToken = await newPromise((resolve) => { grecaptcha.enterprise.ready(() => { grecaptcha.enterprise.execute('hoge', {action: 'EDIT' }) .then(resolve); }); }); // POSTするデータの構築const formData = new FormData(newForm); formData.set('body',bodyText); formData.set('recaptcha_token',recaptchaToken); formData.set('edit', '1');try {constresponse = await fetch(newForm.action, { method: 'POST',body: formData, credentials: 'same-origin' }); if (response.ok) {console.log('送信成功'); window.close(); } else {console.error('送信失敗',response.status); } }catch (err) {console.error('送信中にエラーが発生', err); } }); //プログラム的に送信トリガー newForm.dispatchEvent(new Event('submit', { bubbles:true })); }catch (e) {console.error('バッチ呼び出し失敗:', e); } })();
consthttp =require('http');const { exec } =require('child_process');const querystring =require('querystring');const server =http.createServer((req, res) => { if (req.method === 'GET' && req.url === '/ping') { res.writeHead(200); res.end('pong'); } else if (req.method === 'POST' && req.url === '/run-batch') { letbody = ''; req.on('data', chunk => {body += chunk.toString(); }); req.on('end', () => {constparsed = querystring.parse(body);constvalue =parsed.value || 'default'; // 値を引数としてバッチに渡す exec(`C:\\Users\\hoge\\Desktop\\makesign.bat "${value}"`, { encoding: 'utf8' }, (err, stdout, stderr) => { if (err) { res.writeHead(500); res.end('Error executing batch: ' + stderr); } else { res.writeHead(200, { 'Content-Type': 'text/plain; charset=utf-8' }); res.end(stdout.trim()); } }); }); } else { res.writeHead(404); res.end('Not found'); }});server.listen(12345, () => {console.log('Batch serverrunningathttp://localhost:12345/');});
@echo offsetlocal enabledelayedexpansion::署名するファイル名set "infile=%~1"set outfile=%TEMP%\pgp_output.asc:: 以前の出力があれば削除if exist "%outfile%" del "%outfile%":signloop::AutoHotkeyでパスフレーズ入力（gpgがパスワード要求するダイアログが出た場合に備える）start "" /b "C:\Users\hoge\Documents\AutoHotkey\autopass.ahk"::PGPクリア署名を作成echo %infile% | gpg --yes --clearsign --output "%outfile%"::署名が成功していればループを抜けるif exist "%outfile%" (goto postprocess) else ( timeout /t 1> nulgoto signloop):postprocesspowershell -nologo -command ^ "$header = '>|'; $footer = '|<'; $body =Get-Content '%outfile%' -Raw;Write-Output ($header + \"`r`n\" + $body + $footer)"powershell -nologo -command ^ "$header = '>|'; $footer = '|<'; $body =Get-Content 'signed.asc' -Raw;Set-Clipboard -Value ($header + \"`r`n\" + $body + $footer)"endlocalexit /b
#Persistent#SingleInstance ignoreSetTitleMatchMode, 2WinWaitActive, pinentrySendInputpasswordSleep 100SendInput {Enter}ExitApp
動けばいいという考えで作っているので余分なコードも含んでいるかもしれない。
-----BEGINPGP SIGNEDMESSAGE-----Hash: SHA512https://anond.hatelabo.jp/20250613185036 -----BEGINPGP SIGNATURE-----iHUEARYKAB0WIQTEe8eLwpVRSViDKR5wMdsubs4+SAUCaEv1FQAKCRBwMdsubs4+SHHkAQDUOLgBcdji2T6MJ7h/vlMdFfGlWAzNdXijjE1gIuEPywEAiMNMZqhrMmtlc7UqRuggNJ/UTa5xTIcKp622+7jJQQg==Lgkl-----ENDPGP SIGNATURE-----
令和7年4月1日以降、官報の帰化情報が90日経過で閲覧不可になった。
「プライバシーに配慮」とのことだが、最近の不自然な戸籍不要発言などと合わせて考えると嫌な予感しかしない。
そこでとりあえず官報を保存できるプログラムを作った。自分でダウンロードして保存すること自体は全く問題ない行為。
官報は平日の8:30に公開されるので、cronで8:31とかに実行すると良いのでは。
#官報のPDFデータを入手して保存するimport requestsimportosimporttimefrom bs4 import BeautifulSoupfromurllib.parse importurljoin#対象URLindex_url = "https://www.kanpo.go.jp/index.html"base_url = 'https://www.kanpo.go.jp/'#ダウンロード先フォルダdownload_dir = 'pdfs'os.makedirs(download_dir, exist_ok=True)# ページ取得response = requests.get(index_url)response.encoding = 'utf-8'text =response.text#HTMLを解析soup = BeautifulSoup(text, "html.parser")results = []# 「本日の官報」を対象にPDFの情報を取得するtoday_box = soup.find('div', class_='todayBox')if today_box:dl = today_box.find('dl')dt =dl.find('dt') ifdt: # 日付の抽出date_text =dt.get_text(strip=True).split('\n')[0].replace(" ","").replace("全体目次はこちら","").replace("※インターネット版官報","").strip()dd =dl.find('dd') ifdd: for li indd.find_all('li', class_='articleBox'):title_tag = li.find('a', class_='articleTop')pdf_link = li.find('a', class_='pdfDlb') iftitle_tag andpdf_link:title =title_tag.decode_contents().replace("<br/>", "").strip()url =pdf_link['href'] results.append({ '日付':date_text, 'title':title, 'url':url })# 結果の表示for r in results:date = r['日付']title = r['title']url = r['url'] #pdfファイルのURLを作成url_parts =url.rsplit("/", 1)url_base =url_parts[0] filename =url_parts[1].replace("f.html", ".pdf") converted_url = f"{url_base}/pdf/{filename}" #pdfのURLとファイル名を作成 full_url =urljoin(base_url, converted_url) base_filename =date + "_" +title + "_" + filename.replace("f.html", ".pdf") #ダウンロードして保存print(f'Downloading {full_url} ...')try:response = requests.get(full_url)response.raise_for_status() withopen(os.path.join(download_dir, base_filename), 'wb')as f: f.write(response.content)print(f'Saved: {base_filename}')time.sleep(10) except Exceptionas e:print(f'Failed todownload {full_url}: {e}')
Laziness: The quality that makesyougo to great effort to reduce overall energy expenditure.It makesyouwrite labor-saving programs that other peoplewill find useful and document whatyou wrote soyoudon't have toanswer so many questions aboutit.
Impatience: The angeryoufeel when thecomputerisbeinglazy. This makesyouwrite programs thatdon't just react toyourneeds, but actually anticipate them. Orat least pretend to.
Hubris: The quality that makesyouwrite (and maintain) programs that other people won't want to say bad things about.
「怠惰」を美徳とする元々の文脈では、「後先めんどくさいことにならないように、今努力する」ことを怠惰と呼んでいたので、本当の意味で怠けることは意味していない
Laziness: The quality that makesyougo to great effort to reduce overall energy expenditure.It makesyouwrite labor-saving programs that other peoplewill find useful and document whatyou wrote soyoudon't have toanswer so many questions aboutit.
vibe codingがはやって、AgentモードでAuto Approveでどんどん実装をすすめておいて、負債がたまるーていっているヤツがうっとうしい。
LLMのモデルが全部のコードや仕様を把握している訳ではないので、間違った方向に進むことはしょっちゅうあるのはあたりまえ。
編集する前にdiffを見て、間違っていたら間違っているとを伝えてどのようにしたらいいかまで伝えれば、LLMにまかせても負債がたまっていかない。
たまにちょっとおかしい時に間違っている説明して再生成がたいへんだから、いったんその編集内容で保存してから、修正結果に対して再度修正を依頼をすることはあるけど。
間違った方向にすすめばその分LLMのAPIのコストもかかるので、コストのことも考えていないということも腹だたしい。
Auto ApproveでWriteまで許可しているやつは、LLMが動作している間、何してるん？どうせ生産性を産むようなことをしてないんだからおとなしくLLMの動作を見守っとけ。
>アプリ内のデータかバックアップしたのを自分でダウンロードしてテキスト化する方法ないかなあ／できたわ。設定→位置→タイムライン→タイムラインのエクスポートでjson化可能。あとは誰かが処理系を作るだけだ！
https://b.hatena.ne.jp/entry/4766225990155446401/comment/punychan
これを使えばXXXX-XX-XX.kml形式で日付別のタイムラインデータを出力できる(ChatGPT製)。
KMLファイルはGoogle Earth Proなどで開くことが可能で、ビジュアルとして行動履歴を見ることができる。
ただ、以前GoogleMapsタイムラインが吐いていたKMLではPlacemarkという項目に直接建物名などが書かれていたが、現在出力されているjsonではplaceIdというものに変更されていて具体的な名前がわからない。
placeIdを実際の建物名などに変換するにはGoogle Maps API の Place DetailsAPIを使うしかないようだが、膨大なリクエスト(有料)をしなければならず非現実的。
もともと欧州のプライバシー関係の規制のせいでGoogleのサーバ上でのタイムライン履歴が行われなくなったのが今回の問題の起点。
ユーザーの自由を尊重するなら、個人が行動履歴を自己管理する自由ももっと尊重してもらいたいものだな、と思った。
importjson
importos
fromxml.etree.ElementTree import Element, SubElement, tostring
fromxml.dom.minidom import parseString
withopen("タイムライン.json", "r", encoding="utf-8")as f:
data =json.load(f)
output_folder = "kml_output"
os.makedirs(output_folder, exist_ok=True)
# `semanticSegments` に移動データが含まれている
if "semanticSegments" in data:
date_segments = {} # 日付ごとにデータをまとめる辞書
for segment in data["semanticSegments"]:
# `startTime`から日付部分（YYYY-MM-DD）を抽出
if "startTime" in segment:
date = segment["startTime"].split("T")[0]
date_segments[date].append(segment)
fordate, segments indate_segments.items():
kml = Element("kml",xmlns="http://www.opengis.net/kml/2.2")
document = SubElement(kml, "Document")
for segment in segments:
forpoint in segment["timelinePath"]:
coords =point["point"].replace("°", "") # 度記号を削除
time =point.get("time", "UnknownTime")
# Placemarkを作成
placemark = SubElement(document, "Placemark")
timestamp = SubElement(placemark, "TimeStamp")
when = SubElement(timestamp, "when")
# 座標
point_element = SubElement(placemark, "Point")
coordinates = SubElement(point_element, "coordinates")
lat, lon = coords.split(", ")
coordinates.text = f"{lon},{lat},0" #KML形式: lon,lat,alt
kml_str = tostring(kml, encoding="utf-8")
formatted_kml = parseString(kml_str).toprettyxml(indent=" ")
kml_filename =os.path.join(output_folder, f"{date}.kml")
withopen(kml_filename, "w", encoding="utf-8")as f:
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.
同じコードを数年前にExcelVBAでしこしこ作ってたのがなつかしい
functionZip-Subfolders { param( [string]$directory ) #指定されたディレクトリ内のサブフォルダを取得 $subfolders = [System.IO.Directory]::GetDirectories($directory) | % { [System.IO.DirectoryInfo]::new($_) } foreach ($folder in $subfolders) { #圧縮ファイルの保存先パス $zipFilename = "$($folder.Name).zip" $zipFilepath =Join-Path -Path $directory -ChildPath $zipFilename # サブフォルダをZIP圧縮Write-Host "圧縮中..." [System.IO.Compression.ZipFile]::CreateFromDirectory($folder.FullName, $zipFilepath)Write-Host "$zipFilepath に圧縮しました。" }}#ユーザーにフォルダパスを入力させる$folderPath = Read-Host "圧縮する親フォルダのパスを入力してください"#パスが存在するか確認if ([System.IO.Directory]::Exists($folderPath)) {Zip-Subfolders -directory $folderPath}
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