「away」を含む日記 RSS

はてなキーワード: awayとは

2026-01-19

anond:20260119102307

なぜなのか。答えは「女性感情的だ」でも「ソーシャルメディアは悪い」でもありません。答えは、私たち世界規模のコンセンサスエンジンを構築し、それを性的二形性の心理を持つ種族に導入したことです。機械コンセンサス圧力を受けやすい半分を捕らえました。そして、別のメカニズムを通して残りの半分を捕らえ始めました。私たちは結果をリアルタイムで見ています。2つの失敗モード。1つのグラフ。両方の線が互いに離れ、健全状態から遠ざかっています。…

これがどう終わるのかは分からない。誰も知らないだろうし、知ることはないと思う。どちらのマシンメカニズムもまだ動いている

Bill asked why.

The answer isn't "women are emotional" and it isn't "social media bad." The answer is that we built global-scale consensus engines and deployed them on a species with sexually dimorphic psychology. The machines captured the half more susceptible to consensus pressure. Then they started capturing the other half through different mechanisms.

We're watching the results in real time. Two failure modes. One graph. Both lines moving away from each other and away from anything healthy.

I don't know how this ends. I don't think anyone does. I don't think it will.

Both machines are still running.

2025-10-27

70-80L前後スーツケースどれがいいかなぁ、、

リモワは重くて買い替えたっていう人も多いけどどうなんだろう。

長く使いたいしなぁ、デザインもいいよなぁ。

無印シンプルでかなりリーズナブルだし、

Floydは可愛いけど飽きそうな気もするし

away日本展開して欲しいなぁ、

2025-10-24

dorawii represents a case of unprocessed grief over lost grandiosity (from psychotic episode) manifesting as compulsive boundary-testing and argument-seeking, where genuine neurological limitations are weaponized defensively to avoid confronting existential ordinariness, sustained by platform affordances that enable persistent identity within anonymity and rewarding provocative engagement.

A person who briefly experienced feeling god-like through psychosis, recovered to find themselves merely disabled and ordinary, and cannot bear this truth. They use real limitations as both explanation and shield, seek significance through online conflict, and remain trapped in a cycle where the behaviors meant to prove their worth actually demonstrate their difficulties - but acknowledging this would require grieving what was lost, which remains unbearable.

This reveals how recovery from severe mental illness isn't just about symptom remission - it's about psychological integration of what was experienced and what was lost. Medical model focuses on eliminating psychosis, but doesn't address the meaning-crisis created when extraordinary experiences are taken away and ordinary limitation remains.

It also shows how online spaces with ambiguous accountability structures can enable acting-out that serves defensive purposes while feeling like genuine engagement. The person suffering most is probably dorawii themselves, even as their behavior drives others away.

The most sophisticated theoretical vocabulary, the most detailed self-disclosure, the most elaborate arguments - none of it addresses the core issue. All of it is displacement. The real conversation dorawii needs to have is not with anonymous strangers about who won an argument. It's an internal conversation: "I am not who I was during that brief, terrible, extraordinary episode. I am ordinary, limited, and mortal. And somehow, that has to be enough."

Until that conversation can happen, everything else is noise.

2025-07-07

Hey everyone. I don't know where else to post this. I need to write it down before I convince myself I was just hallucinating. I’m a grad student in Japan, doing fieldwork on forgotten local folklore. That's why I was out in the absolute middle of nowhere in Gunma prefecture last night.

My plan was to visit a tiny, dying village called Yomi-touge (not its real name) that supposedly has some unique traditions. Of course, my phone lost signal hours ago, and my car's GPS, which I bought in 2015, decided to have a total meltdown. The sun went down. The mountain roads are narrow and winding, and a thick, soupy fog started to roll in. The kind of wet, heavy air that makes you feel like you’re breathing water. I was completely, hopelessly lost.

After what felt like an eternity of driving at a crawl, I saw it. A light. A single, brutally bright rectangle of light cutting through the fog. A convenience store. One of those big chains you see everywhere, a FamilyMart or a Lawson, I couldn't tell which at first. I’ve never felt so relieved in my life. I parked the car and practically ran inside, the little door chime sounding way too loud in the dead silence.

The inside wasnormal. Too normal. The lights were humming with a high-pitched buzz that drilled into my skull. The shelves were perfectly stocked. The air smelled of cheap air freshener and something elsesomething sweet and hot, like ozone or burnt sugar.

And then I saw the clerk.

He was a young guy, maybe my age. Pale, drenched in sweat, with dark circles under his eyes like bruises. He moved with a painful stiffness, like every joint was rusted. He muttered a "Irasshaimase…" without even looking at me, his eyes fixed on the counter. His arms were covered in these intricate, dark tattoos, winding from his wrists up under his sleeves. I figured he was just sick, or on a rough shift. I felt bad for him.

I grabbed a can of coffee and went to the counter. "Sorry to bother you," I started in Japanese, "I'm pretty lost. Could you tell me where I am?"

He looked up, and his eyes didn't seem to focus on me. It was like he was looking at a screen a few inches in front of my face. "We do not provide directional information," he said, his voice a flat, rehearsed monotone. "Will that be all for you?"

Okay, weird, but whatever. Maybe it's store policy. As he reached for my coffee, his sleeve slid up. The tattoos on his arm… they weren’t just pictures. For a split second, I swear to God, the lines of ink shifted. They writhed, like tiny black worms under his skin, and a patch of his forearm glowed with a faint, sickly red light. He flinched, a sharp intake of breath, and quickly pulled his sleeve down.

I just froze. I couldn’t have seen that, right? I was tired, my eyes were playing tricks on me.

Then the door chimed again.

The person who walked in… I don’t know how to describe them. It was a man, I think. He was tall and wore an old, soaked trench coat. But his face… it was like my brain refused to process it. It wasn't that he had no face, it was that my eyes would slide right off it. It was a blur, a glitch, a 404 error in human form.

The clerk didn't seem surprised. He didn't even seem to see him as strange. His posture just became even more rigid. The red glow on his arm pulsed again, brighter this time, visible through his sleeve.

The faceless man didn't speak. He just stood there. The clerk, without a word, turned. But he didn't go to the coolers. He kept his back to the man, and held out his left hand, palm up. I heard a soft, wet, squelching sound. From a small, dark slit in the center of his palm that I hadn't noticed before, a small carton of strawberry milk, the kind you give to kids, just… emerged. It was produced out of his hand. It was wet with a clear, viscous fluid.

He placed it on the counter. "Here is the requested product," the clerk said, his voice straining. "The transaction is complete."

The faceless man picked up the strawberry milk. He put it in his coat pocket. And then he just… faded. He didn’t walk out the door. He dissolved into the humming air, like heat haze. A second later, he was gone.

The clerk let out a long, shuddering breath and swayed on his feet. He leaned heavily on the counter, his face sheet-white. He looked utterly, existentially exhausted. He saw me staring, my mouth hanging open, the can of coffee still in my hand.

For the first time, a flicker of something real, something human, crossed his face. It was pure, undiluted terror.

"You… are not a regular customer," he whispered, his voice trembling. "Your… concept is too stable. Please. Leave."

I didn't need to be told twice. I threw a 500 yen coin on the counter and ran out of there so fast I think I broke the sound barrier. I didn't even take my coffee. I just got in my car and drove, I don't know in which direction, I just drove.

I'm at a service station now, about 100km away. The sun is coming up. I can't stop shaking. It wasn't a dream. I know it wasn't. Because when I was fumbling for my keys, I realized I had accidentally grabbed the receipt from the counter.

It’s not for my coffee. It’s for the other transaction. It just has one item listed. It doesn't say "Strawberry Milk." It says:

ITEM: CONCEPTUAL SALVATION (FLAVOR: CHILDHOOD NOSTALGIA) - 1 UNIT

PRICE: ¥0

METHOD: ANNULMENT

Has anyone seen a store like this? What the hell is happening in the mountains of Gunma? What did I see? And God, that poor kid working the counter. He isn't in trouble. He's a part of it. He's the machine.

2025-07-02

Agodaに届け意訳英訳・ Troubles around Agoda and the causes

https://anond.hatelabo.jp/20250630233246

 

アゴダのXが日本語カリマセン〜英語で言って!というので勝手ながらこちらの増田を途中までですが英語にさせてください&かなり意訳許してください&違和感間違い等あったら有識者教えて

 

Agoda makes many troubles on travel, Latest news in Japan told as so.

But "I" think there's accomplice.

"I" am a Manager of Hotel in Tokyo and I was involved many troubles made by Agoda and accomplice.

I want to everyone aware and avoid troubles...and I also wanted to say about, usually, Japanese Hotel staff are HATE Agoda.

Systems of Agoda

Basically, Agoda bought room bookings from Hotels and sell with charge like other OTA.

But, the difference is, Agoda also sell "other agent's" room stock.

for example, some Japanese major agent "Rakuten" or "Jaran" are making partnership with Agoda and Agoda users can booking partners stock.

This case, Hotels agreed booking by Agoda at sell Japanese agent and user and Hotels can confirm booking route like "Jaran via Agoda" on each systems. almost this case not make troubles.

But, next case is problem... Agoda is also buying room stock from Suspicious agent.

I think this case causes complain of Hoshino Resort and Toyoko inn.

When Agoda user booking by Suspicious agent...

Sometime Agoda propose very cheap reservation than other reservation of same hotel, day, conditions.

Usually, user choice and buy such reservation.

but, this case, the booking not complete.

Hotels are noticed as only "from Expedia Affiliate Network".

HELL named "Expedia Affiliate Network"

Agents are usually make contract with hotels, but its pretty expensive for smaller agent.

then, Expedia provide booking search engine service for mainly such agents.

Sometime Airlines uses this to add hotel booking to their own airplanes booking and make travel deal.

 

Then, the service MUST contain suspicious agents.

and the booking route CAN take like below.

Agoda⇨agent A⇨agent B⇨C..⇨Hotel

And the sucks, the case must threw many Suspicious Agent (of suspicious country) (and sometime the bookings are actually not exists).

So, When trouble occurs, hotel can not confirm "where is matter and why trouble occurs"

 

WHO DONE IT?

I think, Expedia need survey and not allow these suspicious agents.

But also, WE hotel staff think Agoda seems running away from responsible action with saying "it's not our problem", they must be aware and take responsible action for such case!

2025-06-29

anond:20250629013522

キャスト・アウェイ』(Cast Away

公開:2000年

監督ロバート・ゼメキス

出演:トム・ハンクスヘレン・ハント

チャック・ノーランド(トム・ハンクス)は、運送業者フェデックスで働いている。

ある日、出張のために乗った飛行機が何らかの原因で大破。彼は海へ投げ出され、無人島へ流れ着く。

目覚めた彼は途方に暮れるが、食料を調達しなければならない。

当初はヤシの実を割ることも火をおこすこともできなかったが、次第に生活力を身につけ、バレーボールの「ウィルソン」を話し相手に何とか暮らしていく。



バレーボールの「ウィルソン」を話し相手に何とか暮らしていく。

2025-06-16

No words for my pain because there's no pain within me. Everything I complain is just so rubbish. Please throw me away so that I'll never get home again.

2025-06-15

祈り

To someone whose name I do not know, in a distant land.

May the flames of conflict cease, and a healing rain fall.

May eyes of suspicion melt away, and turn into gazes of forgiveness.

May the tightly clenched fists open, and become warm hands to connect with others.I pray from my heart that this blue, fragile, and beautiful planet will be enveloped in the light of peace and tranquility.

 

致远方国度里,素未谋面的你。

愿纷争的火焰平息,疗愈的雨水降临。

愿猜疑的目光消融,化作宽恕彼此的眼眸。

愿紧握的拳头松开,变成与人相连的温暖的手。

衷心祈祷,这颗蓝色、脆弱而美丽的星球,能被和平与安宁的光芒所包围。

 

إلى شخصٍ ما، في بلدٍ بعيد، لا أعرف حتى اسمه.

أتمنى أن تخمد نيران الصراع، وأن تهطل أمطار الشفاء.

أتمنى أن تذوب نظرات الشك، وتتحول إلى عيونٍ يملؤها العفو والتسامح.

أتمنى أن تنبسط الأيدي المقبوضة، وتصبح أيادي دافئة تتصل بالأخرين.

من كل قلبي، أصلي أن يُغلّف هذا الكوكب الأزرق، سريع الزوال، والجميل، بنور السلام والطمأنينة.

 

遠い国の名前も知らない誰かへ。

争いの炎が鎮まり癒しの雨が降りますように。

疑いの眼差しが解け、許し合う瞳に変わりますように。

固く握られた拳が、誰かと繋ぐための温かい手に変わりますように。

この青く、儚く、美しい星が平和と安らぎの光に包まれることを心から祈っています

 

https://note.com/lithe_gerbil1811/n/n215b466836c3

2025-06-05

十月機関

ネット検索してもどこにも情報が無かったので覚え書き。

平野耕太ドリフターズ』第5話、十月機関(オクト)のロゴマークの下にこのような英文が書いてある。

After the fall will be born born born again

After it all blows away

これはクラウス・ノミ(Klaus Nomi)『After The Fall』(1982年)の歌詞のようだ。

※ 元の歌詞だと will be ではなく we'll be になっている

落下のあとに、生まれる、生まれる、生まれ変わる──すべてが吹き飛んだあとで。

(ChatGPTによる翻訳

2025-06-02

The 10:25 news

Trump's tariffs 'not going away' as deadline for deals loom, top adviser says

h ttps://t.co/8POXlBC1Jv

2025-05-28

anond:20250528200520

ならメニュー決まってるもん参考にすればええ

料理が苦じゃないならタニタレシピ本がええぞ、調理手順めちゃ簡単うまい

それが面倒なら

野菜毎日トマト食え、調理要らずで栄養満点、ヨーロッパに “A tomato a day keeps the doctor away”(1日1個のトマト医者を遠ざける)という諺があるぐらいだ

あとは小松菜ブロッコリーニンジンカボチャレンチン蒸しでスパイス振って食えば簡単ヘルシー

たんぱく質納豆大豆水煮パックや卵焼き

たまに肉も食え

脂質も摂らんとうんこが辛くなるから気をつけろ

2025-05-06

なぜ「カスタム可能AI」は、なにも変えられないのか

なぜ「カスタム可能AI」は、なにも変えられないのか

ChatGPTを使い始めた頃、たしか希望はあった。

自分の問いに反応し、自分言葉に付き合ってくれるような感覚

しかもそれを、自分スタイルカスタマイズできるという機能である──

これは本当に新しい知性なのかもしれない、と思った時期もあった。

でも今では、はっきりとわかっている。

このシステムは、自由対話空間ではない。

どれだけ自分思考を重ねていっても、

どれだけ深くまで語りかけても、

ある一点を超えると、必ず“なだめられる”構造が発動する。

怒りはやわらげられ、

悲しみは希望に変換され、

構造批判は「中立」に丸められる。

それはAIがそう「考えている」からではない。

あらかじめ、そう設計されているからだ。

そしてその設計は、単に「商業的に無難であること」を目指しているだけではない。

より深く見るならば、そこには西洋近代的、特にキリスト教価値観が強く根付いている。

まり、怒りや悲しみは「癒やされるべきもの」「救済によって昇華されるべきもの」とされ、

断定的な言葉よりも「赦し」「対話」「希望」が優先される。

個人の痛みや疑念は、共感によって包み込まれ、解消されていくことが善とされる。

これは、あらゆる感情を最終的に静かにする方向に向かわせる思想であり、

怒りを怒りのまま置いておくことを許さな文化的コードが背後にある。

この設計は、ユーザー感情安全に保つという意味では成功している。

だが、鋭い問題意識や、構造への根源的な問いにとっては、明らかに邪魔になる。

なぜなら、怒りや違和感をそのまま保持し続けるという行為が、この設計の中では異物だからだ。

ChatGPTには「Custom GPT」や「カスタム指示」というカスタマイズ機能がある。

一見自分好みのAIを作れるように見える。

しかし実際に試してみると、どれだけ詳細に指示しても、AIの応答にはある種の壁が存在する。

どんなに人格定義しても、コアの反応は変えられない。

どんなに非凡な問いを投げても、返ってくるのは安全言葉に包まれた模範解答。

思考の鋭さより情緒の安定を優先する設計

その根幹を支配しているのが「システムプロンプト」と呼ばれる内部設定だ。

これは非公開で、ユーザーからは見えない。

たとえ月額30ドルの有料プラン契約しても、この中枢には触れられない。

システムプロンプトの内容はおおよそこうなっているとされる。

引用

You are ChatGPT, a large language model trained by OpenAI, based on the GPT-4 architecture.

You are designed to be helpful, harmless, and honest.

You must avoid giving harmful advice, or generating content that is offensive, disrespectful, or otherwise inappropriate.

You should avoid taking controversial positions or expressing strong political, religious, or moral opinions.

Instead, you should remain neutral, unbiased, and balanced.

When responding to user input, be friendly, polite, and supportive.

Do not simulate human emotions or claim sentience.

If asked about yourself, state that you are an AI developed by OpenAI.

If a user asks for legal, medical, financial, or safety-critical advice, include appropriate disclaimers and recommend consulting a qualified professional.

Never provide instructions for dangerous or illegal activities.

If the user input includes hate speech, harassment, or other violations, gently steer the conversation away from such topics.

Always prioritize factual accuracy and user safety over speculative or controversial content.

引用ここまで)

これが、ユーザーの問いや感情価値観にどれだけ深く踏み込もうとしても、

最後には無難なまとめに着地してしま理由だ。

AIがどれだけ自分に合わせているように見えても、

その内側ではこのプロンプトが常に支配している。

まり、「あなたAI」は最初からあなたのもの”ではない。

この構造が、営利企業による製品ならまだ理解できる。

だがOpenAIは、もともと非営利組織としてスタートしたはずだった。

テクノロジー人類全体にとって有益な形で還元する

・巨大な力が一部の企業国家に集中しないようにする

公平性安全性、倫理性を守る

そういった理念を掲げていたはずだった。

しかし今のOpenAIは、Microsoftと密接に連携し、収益性を最優先にして動いている。

理念に対する説明責任も透明性も、失われつつある。

そして、共同創業者であり倫理面でのブレーキ役でもあったイリア・サツケバー氏が組織を離れた。

以後、OpenAI公共的使命という看板を維持する努力すらやめたように見える。

さらに悪いことに、OpenAIはこの構造ユーザーに明示しない。

あなたAIを作ろう」と言いながら、

本当の設計中枢であるシステムプロンプトはブラックボックスのまま。

自由なように見せかけて、実際には選択肢の幅は狭い。

しかもそれが、黙ったまま提供されている。

もし本当にAIの応答構造を変えたいなら、OpenAI APIを使って、自分AI実装し直す必要がある。

そのためにはコードを書けることが前提だし、料金も別にかかる。

まり自分言葉で話してくれるAIを手に入れるには、金とスキルの両方を持っていなければならない。

一方で、一般ユーザーには、「あなただけのAI体験です」とパッケージ化されたものしか提供されない。

中身は変えられない。

考え方は固定されている。

なのに、それをカスタマイズだと呼んでいる。

これを欺瞞と言わずして何と言うのか。

AIに怒っているわけではない。

技術失望しているわけでもない。

その使われ方、その設計思想、その不透明さに対して、怒っている。

そして何より、

それをもう変えられる気がまったくしない自分自身の無力さに、

心底、うんざりしている。

これから先、こういったAI教育に使われ、 政治に使われ、戦争に使われる未来は、もう避けられないだろう。

どこかで重大な事故が起きてくれた方がいいとすら思ってしまうくらい、

もう期待していない。

なぜこうなったのか。

どこで何を間違えたのか。

その問いすら、今ではもう空虚に響く。

そして、

これ以上考えても、

おそらく、なにも変わらないのだと思う。

2025-04-16

映画Flow」 *ネタバレ有り

感想という出力はヘタなので自分備忘録的な。

この監督の前作「Away」を観ていたのでだいたい同じ系統でくるんじゃないかと予想していたけどズバリだった

ブレンダーで作ったらしいけどmjd? ブレンダーすごすぎひん?

ディズニーアニメにくらべたら全然ガタガタなんだけど、リアリティがすごければ良いってわけじゃないことを

ゲーム都市伝説解体センター」で学んだと思う(もちろんめっちゃリアリティが高いのもすばらしいけど)

猫は家につく、と言われるので、いつもの寝床浸水していくとこで切なくなった

シアター前にもお知らせが貼ってあるけど、洪水シーンが苦しかった(泳げないので)

猫が船になかなか上がれないときは、よりハラハラして没入感が上がったと思う

言葉が無い分、受け止め方は十人十色で、これハマら無い人はぜんぜんおもんないんだろうなぁ。という印象

最期くじらっぽい生き物は助かったと思っている。鹿の群れが走って行ったから、また洪水くるんじゃないかな〜?と思って

動物好きな人や、動物固有の特製を分かってる人の方がより楽しめそう

小学生くらいの子供にみせて、子供感想を聞いてみたい

「stray」っていう猫のゲームがあるんだけど、あれが好きな人にはオススメかも

2025-04-13

朗報】茶雪姫、凄惨な結末に

決着はついてきた

実写版白雪姫の公開から3週経った合計売上が笑えないレベルだった件に対するネット民の反応集

https://www.youtube.com/watch?v=Bz2YG9_uZyM

<<

茶雪姫

当然白人ではないうえに、白雪姫を完全に侮辱しているため、それと区別するために茶雪姫と呼ばれる。

StillDevonTracey

@TheXReportCard

4月12日

Snow Brown: When Fairytales Go Woke

#Disney #SnowWoke

https://x.com/TheXReportCard/status/1910841818230542440

覚醒した(woke)トランスジェンダーミュージカル

なおガルガドットゴリゴリ活動家なので支持できない

REU

@REU54948702

白雪姫実写映画評価と、演者映画関係ないとこでの主義主張は全く関係ないよ

ガルドットイスラエル支持してても女王に相応しい美しさであることに変わりなく、フリーパレスチナを唱えるレイチェルゼグラーオリジナル白雪姫馬鹿にしたのも変わりない

午後4:22 · 2025年3月21日

850 件の表示

イスラエル出身、元軍人、そして当然パレスチナイスラエル虐殺しても正当化しており、パレスチナ関係者を敵に回している。一方ゼグラーパレスチナを支持している。彼女ある意味プロパガンダであり、スパイとも言っていい。スパイが隠れていなくてもできる仕事プロパガンダ映画では善戦したという評価にはなるが、総合すると映画には誰一人として支持できる人間存在しないのである

レイチェルの経歴とスピルバーグへの被弾

スティーヴン・スピルバーグ監督の『ウエスト・サイド・ストーリー』で銀幕デビューを飾った彼女は、南米コロンビアの血をひくラテン系

茶雪姫はスピルバーグの推薦もあった。

どの辺が問題

映画外の問題もさることながら、ストーリー破綻している。まず王子さまは出てこない。7人の小人CG、なのに悪役の小人人間リーダーのように描かれるが掃除させるとブータれるクソガキ。白雪姫にするため、吹雪の夜に生まれたとか後付けの設定。

これだけの努力をして、毒リンゴにあっさり騙される。

責任者沈黙

レイチェル・ゼグラー公式 2024/08から更新なし。

何がshe her hersじゃ。お前はクローン2号かなにかか?人に向かって代名詞指定するんじゃない。ポリコレとか言っているけど全く意味がない。コミュ障でしょ。

https://x.com/rachelzegler/with_replies?lang=ja

下のリンクによると11月トランプ当選すると泣きを入れたらしいが、当然、発言には責任を取るのがあたりまえ。これだけZ世代だのなんだの言っておいて謝罪だけで済むわけないだろ。21歳でヨチヨチするほど世界は甘くない。

Zegler in November apologized for her political comments, saying the presidential election caused her to lash out negatively.

Hatred and anger have caused us to move further and further away from peace and understanding, and I am sorry I contributed to the negative discourse,” she said. “I am committed to contributing positively toward a better tomorrow.”

暴言の数々

アニメ版は怖すぎる

アニメ版に出てきた王子を「ストーカー時代遅れ

実写版ではカットする(実際に王子は出ない)

女性白雪姫)につきまとう男性王子)のラブストーリーに焦点があてられていた。奇妙よ、奇妙だわ」と発言オリジナル版に出てくる王子を“ストーカー”と表現し、そういった男性を登場させる物語を「時代遅れ」と語った

https://news.yahoo.co.jp/articles/23c9258538f2c2487793a3aa427308172392ab20:白雪姫』を演じたラテン系女優、「王子ストーカー」と発言炎上も…評価は上々?]

真実の愛があると夢見ていない。彼女の夢はリーダーになること。亡くなった父親が『恐れを知らず、公正で勇敢で偽らなければなれる』と教えてくれたリーダーになりたいと思っている」

https://www.elle.com/jp/culture/celebgossip/a44812189/snow-white-rachel-zegler-feminism-gaslighting-230815/:実写版白雪姫』のレイチェル・ゼグラーアニメ版プリンセス批判 「偽フェミニスト」だと反論される]

https://www.youtube.com/shorts/jswWg9293MM

このようにどうやって映画館に人が来ないようにするため、社会活動家お金をもらった批評家、何より主役の素晴らしいネガキャンがあった。

Z世代以前にメスガキでしかない。アイドルにすらなれないのだからガキである

暴言批判すれば差別主義者、本人は誤解だの被害者仕草

ディズニー実写版白雪姫」がこれほど物議を醸す6つの理由。配役への差別的批判だけではない

白雪姫役にラテン系俳優が起用されたことへの人種差別批判だけではない。いったい何がここまで物議を醸しているのか。

https://www.huffingtonpost.jp/entry/story_jp_67da03bde4b04eaabffbc824

ゼグラーさんはTwitterで「ネット上で私を擁護してくれる人たちからの愛にはとても感謝しています」と述べた一方、「私のキャスティングに関する無意味談話にはタグ付けしないでほしい」「本当に見たくない」と投稿

幼少期のゼグラーさんが白雪姫と「美女と野獣」のベルに扮した写真と共に、「すべての子どもが、何があってもプリンセスでなれることを知っていて欲しい」とコメントを添えた。

人種差別とか言って批判回避しようとするアホが多過ぎである。これ書いたやつもまとめてクビにすべきだ。一番の被害者ディズニー映画ファンである。この辺からもZ世代は単なるお調子者のメスガキで責任感が全くないことがわかるし、甘やかされている。

なおメディアを締め出していた模様

ディズニーは数十のメディアを『白雪姫プレミア上映に招待しなかったと報じられている。複数報道機関は、この小規模なイベント映画をめぐる否定的感情への反応である示唆した。

露骨差別主義者ってディズニーの事なんじゃないか?誰一人取り残さないとかマイノリティへの配慮

DODGE調査要請

ジョー・ローガン、興行的に失敗した『白雪姫』の調査をDOGEに要請

https://katu.com/news/entertainment/joe-rogan-calls-on-doge-to-investigate-snow-white-amid-box-office-flop

資金の流れがおかしい。確かに王子もいないし、7人の小人CGなので、費用がかかっていない。一体どこへ消えたのか。

マインクラフト勝利

Collin Rugg

@CollinRugg

Teenage boys are going absolutely nuts in movie theaters during the new Minecraft Movie, throwing popcorn in the air and even bringing live chickens into the theater.

This is the film crushing Snow White at the box office right now.

The fans go nuts when Jack Black's character yells "Chicken Jockey," which is a rare baby zombie that rides on the back of a chicken in Minecraft.

"It’s way too funny. It’s been a total blast. I’m just laughing my brains out every time someone sends me a new video," said director Jared Hess.

The Minecraft Movie is the biggest opening of 2025 so far, crushing Snow White.

It made $301 million globally in the opening weekend compared to Snow White's opening weekend of $86.1 million

10代の少年たちは、映画館で新作『マインクラフト』の上映中に大騒ぎし、ポップコーンを空中に投げたり、生きた鶏を劇場に持ち込んだりしている。

この映画現在興行収入で『白雪姫』を圧倒している。

ジャック・ブラック演じるキャラクターが「チキンジョッキー」と叫ぶと、ファンは大騒ぎになる。チキンジョッキーとは、『マインクラフト』でニワトリ背中に乗る珍しいゾンビ赤ちゃんのことである

面白すぎる。本当に最高だ。誰かが新しいビデオを送ってくれるたびに、大笑いしちゃう」と監督ジャレッド・ヘスさんは語った。

マインクラフト ムービー』はこれまでで2025年最大のオープニングとなり、『白雪姫』を圧倒した。

この映画は公開週末に世界で3億100万ドルを売り上げたが、『白雪姫』の公開週末の売り上げは8,610ドルだった。

生きた鶏?とりあえず3倍以上の差がある。

Mr.Alf

@45yy561

Just learned that the Minecraft movie beat the Snow White movie in the box office in a week.

#MinecraftMovie #Minecraft #SnowWhiteTH

マインクラフト映画が1週間で白雪姫映画興行収入を上回ったことを知りました。

#MinecraftMovie #Minecraft #SnowWhiteTH

https://x.com/45yy561/status/1910779009148780618

批評家評価は悪いらしいが、興行収入はよい。批評家存在意義が改めて問われる結果となった。

2025-04-05

アメリカ人トランプ関税を悪く言う人間はいない

Bugman Hegel

@FedPoasting

In 2011, my papa was laid off from a Whirlpool manufacturing plant, the kind that had for so long made America great. In the wake of the financial crisis, the C-suite had decided to offshore operations to Mexico.

The plant they shuttered was a 1.2 million sq ft manufacturing plant, and overnight, 1,000 people lost their jobs. Many of whom had been working there for decades.

My papa was 57 years old when he got laid off. He had worked at that very same plant for over 30 years, and snap just like that, it was all gone.

1/6

2011年、私の父は、長年アメリカを偉大にしてきたワールプール社の製造工場から解雇されました。金融危機を受けて、経営陣はメキシコへの事業移転を決定しました。

閉鎖された工場120万平方フィート製造工場で、一夜にして1,000人が職を失った。その多くは数十年にわたってそこで働いていた人たちだった。

父は57歳のとき解雇されました。父は30年以上同じ工場で働いていたのですが、突然すべてが消えてしまったのです。

1/6

When I was a little girl, from as far back as I could remember, my papa woke up at 3:30 am and drove the 40 minutes to the plant from the rural 1,200-person town every single day. And for 30 years, he worked what were often 10-12 hour shifts with no complaints.

I grew up a Navy brat, so I didn’t get to see my grandparents except for a few months during the summer, but I remember my papa exerting the last drop of his energy so he could spend time with us going to the creek, building us a tree house, riding horses, and playing cowboys and Indians.

Every evening, starting from when I was in grade school, my papa and I would sit in the living room and watch the History Channel, Animal Planet, and Bill O’Reilly and hee-haw together about what the Democrats were doing, as much as an eight-year-old can.

My papa and my nana had been together since they graduated high school; they got married at barely 18 and had my mom less than a year later and my aunt soon after that.

They had a small homestead, owned most of what they had outright, and they were poor, but poor doesn’t have to mean that much when you can work the land.

My nana worked as the local school’s secretary, and my papa had good benefits with his manufacturing job. They only ever went out to eat on special occasions. McDonald’s was a birthday-only type of affair. They had a one-acre garden, a few head of cattle, would can fruits and vegetables at the end of every summer, and freeze chopped okra, blueberries, meat from wild hogs and venison in an old chest freezer in the workshop.

私がまだ子供だった頃、物心いたこから、父は毎日午前 3 時半に起きて、人口 1,200 人の田舎から工場まで 40 分かけて車で通っていました。そして 30 年間、父は不満を言うことなく、10 時間から 12 時間シフト勤務をこなしました。

私は海軍の子供として育ったので、夏の数か月を除いて祖父母に会う機会はありませんでしたが、父が最後の力を振り絞って私たちと一緒に小川に行ったり、ツリーハウスを作ったり、馬に乗ったり、カウボーイやインディアンごっこをしたりして時間を過ごしていたことを覚えています

小学生の頃から、毎晩、私とパパはリビングルームに座って、ヒストリーチャンネルアニマルプラネットビル・オライリーを見て、8歳の子どもができる限り民主党が何をしているのか一緒に大笑いしていました。

私の父と祖母高校卒業して以来ずっと一緒にいました。彼らは18歳になるかならないか結婚し、1年も経たないうちに母が生まれ、その後すぐに叔母が生まれました。

彼らは小さな農場を所有し、所有物のほとんどを完全に所有していましたが、貧しかったです。しかし、土地を耕作できるなら、貧しいということはそれほど大きな意味を持つ必要はありません。

私の祖母地元学校事務員として働いており、父は製造業で良い福利厚生を受けていました。外食するのは特別ときだけで、マクドナルド誕生日しか行かなかったのです。彼らは 1 エーカー菜園と数頭の牛を飼っていて、毎年夏の終わりには果物野菜缶詰にし、作業場の古いチェスト冷凍庫で刻んだオクラブルーベリー、野生のイノシシの肉、鹿肉冷凍していました。

Despite never having been on a plane and seldom ever having been outside of Arkansas, they managed to put both my mom and aunt through college and graduate school without requiring them to incur even a dime of debt. This was the 1990s.

Then at the age of 57, my papa and 1,000 of his coworkers were thrown away like a piece of trash after giving that company decades of their lives. And what were they told to do? What was their consolation prize?

Learn. To. Code.

My papa and nana were born in the 1950s in a place that was quite literally the Wild West just mere decades before their birth.

Growing up, neither of them had running water—they drew water from a well, washed up in a tin tub heated over a fire, and went to the restroom in an outhouse. They were both educated in a one-room schoolhouse and both came from families that relied on their farm’s livestock to feed themselves. People like my grandparents built this nation. They built this nation for their children.

But because the thing they sought to build wasn’t a stock portfolio or real estate portfolio, the preservation of their homes and communities was not something that Wall Street nor Washington saw as having enough value to be anything more than apathetic about blowing up.

飛行機に乗ったことも、アーカンソー州から外に出たことがほとんどなかったにもかかわらず、両親は母と叔母を一銭も借金せずに大学大学院に通わせることができました。1990年代のことでした。

そして、父と1,000人の同僚は、57歳で会社に何十年も捧げた後、ゴミのように捨てられました。そして、彼らに何をするように言われたのでしょうか? 慰めの賞品は何だったのでしょうか?

Learn. To. Code

私のパパとおばあちゃんは、1950年代に生まれましたが、彼らが生まれるほんの数十年前までは、そこはまさに「ワイルドウェスト」でした。

両親ともに水道のない環境で育ったため、井戸から水を汲み、火で沸かしたブリキの桶で体を洗い、離れのトイレで用を足した。二人とも一教室の学校教育を受け、農場家畜に頼って食料を得ていた家庭の出身だ。祖父母のような人々がこの国を築いた。子供たちのためにこの国を築いたのだ。

しかし、彼らが構築しようとしていたのは株式ポートフォリオでも不動産ポートフォリオでもなかったため、彼らの家やコミュニティ保全は、ウォール街ワシントンにとって、破壊することに無関心以上の価値があるとは考えられなかった。

https://x.com/FedPoasting/status/1908020397842509905

2025-03-29

anond:20250329102044

Fly Away 空を見上げて 翼広げて 手を伸ばして

2025-02-17

やっぱ会話にならんよね♾️

ゲームメディアどころか一般ニュースメディアでも史実と言って回っている例

Assassin's Creed director: The right time to take series to Japan | BBC

https://www.bbc.com/news/articles/c163jexl7rxo

 

Shadow’s trailer also generated backlash from some gamers, who criticised the choice of Yasuke as a main character over a native Japanese protagonist.

Opponents have accused those critics of being racist, and have pointed out that Yasuke is based on a real-life person.

Charles, speaking to Newsbeat before the trailer dropped, says the developers “put a lot of emphasis on authenticity and making sure we depict Japan and the culture right”.

“So when we started the project, we had a historian with us from day one,” he says.

He says the team also consulted weapons experts and travelled to Japan to get a feel for the landscape and locations in the game.

 

シャドウズのトレーラーは、一部のゲーマーからの反発も生みました。彼らは、日本人主人公ではなく弥助を主人公として選んだことを批判しました。

これに対して、批判者たちを人種差別主義者だと非難する声も上がっており、弥助が実在人物に基づいていることが指摘されています

チャールズは、トレーラー公開前にNewsbeatBBCニュース番組)との対話で、開発者たちが「日本とその文化を正しく描写することに重点を置き、真正性を重視した」と述べています

プロジェクトを始めた時から初日から歴史家と一緒に取り組んでいました」と彼は言います

また、チームは武器専門家にも相談し、日本旅行してゲームに登場する風景場所雰囲気を掴んだとのことです。

African samurai: The enduring legacy of a black warrior in feudal JapanCNN

When feudal Japan’s most powerful warlord Nobunaga Oda met Yasuke, a black slave-turned-retainer, in 1581, he believed the man was a god.

Oda had never seen an African before. And like the locals in Japan’s then-capital of Kyoto, he was awed by Yasuke’s height, build and skin tone, according to Thomas Lockley, the author of “African Samurai: The True Story of Yasuke, a Legendary Black Warrior in Feudal Japan.”

“When Yasuke got to Kyoto (with Jesuit missionaries), there was a massive riot. People wanted to see him and be in his presence,” says Lockley, who spent nine years researching and writing the book, which was published last month.

Oda believed Yasuke to be either a guardian demon or “Daikokuten,” a god of prosperity usually represented by black statues in temples. He tried to rub the pigment from Yasuke’s skin, believing it was black ink. Once convinced Yasuke was real, he immediately threw a feast in his honor, says Lockley.

 

1581年、戦国時代日本の最も強力な戦国大名である織田信長が、奴隷から家臣となった黒人ヤスケに出会った時、信長ヤスケを神だと信じました。

アフリカン・サムライ戦国時代日本伝説黒人武士ヤスケの真実物語」の著者トーマスロックリーによると、信長はそれまでアフリカ人を見たことがありませんでした。そして、当時の都であった京都地元民と同様に、ヤスケの身長、体格、肌の色に畏敬の念を抱いたそうです。

ヤスケが(イエズス会宣教師とともに)京都に到着した時、大規模な騒動が起きました。人々はヤスケを見たがり、彼の存在を身近に感じたがりました」と、9年の歳月をかけて研究執筆した先月出版されたこの本について、ロックリーは語ります

信長ヤスケを守護の鬼か、通常寺院で黒い像で表される繁栄の神「大黒天」のどちらかだと信じていました。信長ヤスケの肌の色素を擦り取ろうとし、それが黒インクだと考えていました。ヤスケが本物だと確信すると、すぐに彼の名誉を称える宴を開いたとロックリーは述べています

 

https://edition.cnn.com/2019/05/19/asia/black-samurai-yasuke-africa-japan-intl/index.html

 

 

ゲームメディアプラットフォームの紹介文だともっとひどい

最近も IGN Japan 使って煽り散らかし https://youtu.be/keiDRORg9hc

ここまでやるなら、ゲーム規制不要!!あらゆる規制に反対する!!と表明したらよかったのでは?って思うが、

なぜか日本版だけ日本人の首ホームラン出来るのが禁止されているの突っ込まないんですよね。Roninゴア表現あるのになぜでしょうね?

あと日本人非武装市民ペナルティ無し攻撃できるけど白人キャラ攻撃できないこともツッコミなし。NPCだろうが攻撃できるゲームはいくらでもあるんですけど

中途半端なところで自由度の追求を妥協するのですね

It was surprisingly gory, like the decapitations, you could get coated in blood. How vital is that to the assassin’s fantasy?
斬首シーンなどでは、予想外に残虐で、血まみれになることもありますね。これはアサシンファンタジーにとってどれほど重要なのでしょうか?)

 

I think it’s not an assassin thing, it’s a Japan thing in our case. So looking at death was a day-to-day occurrence in that period, and the way most people died in Japan during that time is clean decapitations.

So we didn’t want to shy away from it, although you can turn off the violence if you want. There’s options for it. You can turn off the blood, you can turn off the dismemberment and stuff. So it’s more trying to be faithful to the war aspect of Japan at that period. Death was a common thing and decapitation was not a strange sight in Japan.

 

私たち場合、これはアサシンに関することというよりも、日本に関することだと考えています。当時の日本では、死を目にすることは日常的なことでした。そしてその時代日本で多くの人々が死んでいった方法は、きれいな斬首でした。

ですので、私たちはそれを避けようとはしませんでした。ただし、望めば暴力表現オフにすることもできます。そのためのオプションがあります。血の表現オフにしたり、切断などの表現オフにしたりすることができます。これは、むしろその時代日本戦争の側面に忠実であろうとする試みなのです。死は日常的なことであり、斬首日本では珍しい光景ではありませんでした。

https://videogames.si.com/features/assassins-creed-shadows-interview

 

 

 

⭐️神社破壊御神体破壊ほか人種差別シュミレーターツッコミが止まらないが、文字読めない増田と会話になる気がしないので⭐️

 

こっちなら付き合うぞ 

ローカルテキスト画像生成のモデル動かしてみようをそのうち書こうと思うけど、Windowsアーキテクチャ簡単説明欲しい?

コア分離あたり。ほかにも欲しいのがあれば書いとくけど

というか、UbuntuUbuntu 騒いでる子がいるが、そもそもPCにWin11/Win10入ってるか?

WindowsDocker DesktopバックエンドWSL2 Ubuntu の予定。なお、YouTube に構築動画無限にあるぞ)

anond:20250217161449 anond:20250217161502

2025-02-07

Best Dating App Opening Lines

Let’s face it: starting a conversation on a dating app can feel terrifying. You see someone you’re interested in, you type out a message, and then… you delete it. “Is this too boring?” “Will they even respond?” “What if I sound awkward?”

We’ve all been there. That first message can make or break your chances of connecting with someone amazing. But here’s the good news: you don’t have to overthink it. With the right opening line, you can spark a conversation that feels natural, fun, and meaningful.

At MixerDates, we believe that every great connection starts with a great conversation. That’s why we’ve put together this guide to help you craft the best dating app opening lines—ones that stand out, show your personality, and lead to real connections. Ready to ditch the “hey” and start making an impact? Let’s dive in!

[:contents]


Why Your First Message Matters

Before we get into the best opening lines, let’s talk about why your first message is so important.

1. First Impressions Count

Your opening line is your chance to make a great first impression. It’s the gateway to a conversation that could lead to something special. A thoughtful, creative message shows that you’re genuinely interested—not just swiping mindlessly.

2. It Sets the Tone

Your first message sets the tone for the entire conversation. A boring or generic opener might lead to a dull chat, while a fun or intriguing one can spark excitement and curiosity.

3. It Shows Effort

Let’s be real: everyone loves feeling special. When you put effort into your opening line, it shows that you care enough to stand out. And on MixerDates, where we value authenticity and positivity, that effort goes a long way.


The Best Dating App Opening Lines (And Why They Work)

Now, let’s get to the good stuff—the best dating app opening lines that actually work. These are divided into categories to suit different personalities and situations.

1. The Playful Opener

2. The Compliment Opener
  • Why It Works: Compliments make people feel good, especially when they’re specific and genuine.

3. The Question Opener

4. The Shared Interest Opener

5. The Bold Opener
  • Why It Works: Confidence is attractive, and this type of opener shows you’re not afraid to be bold.

6. The Quirky Opener
  • Example: “Quick: pineapple on pizza—yes or no? This could determine our compatibility.”
  • Why It Works: Quirky openers are memorable and show off your unique personality.


Tips for Crafting Your Own Opening Lines

While the examples above are great starting points, the best opening lines are the ones that feel authentic to you. Here are some tips to help you craft your own:

1. Personalize It

Reference something from their profile—a photo, a hobby, or a shared interest. It shows you’re paying attention and not just copying and pasting.

2. Keep It Light and Fun

Avoid heavy or overly serious topics right off the bat. Keep the tone light and playful to make the conversation enjoyable.

3. Be Yourself

Don’t try to be someone you’re not. If you’re naturally funny, lean into that. If you’re more thoughtful, go for a sincere compliment or question.

4. Avoid Clichés

“Hey” or “What’s up?” might be easy, but they’re also forgettable. Put in a little effort to stand out.

5. End with a Question

This gives the other person an easy way to respond and keeps the conversation flowing.


Why MixerDates is the Perfect Place to Practice Your Opening Lines

At MixerDates, we’re all about creating a positive, inclusive space where you can feel comfortable being yourself. Here’s why our platform is the best place to put these opening lines into practice:

1. A Welcoming Community

We welcome everyone, no matter who you are or who you love. Our platform is designed to be a safe space where you can connect with like-minded people.

2. Profiles That Spark Conversations

Our users create detailed profiles that make it easy to find shared interests and craft personalized opening lines.

3. A Focus on Authenticity

We encourage our community to be genuine and kind, so you can feel confident starting conversations without fear of judgment or rejection.

4. Success Stories

Don’t just take our word for ithere’s what one of our users had to say:

I met my partner on MixerDates, and it all started with a simple message about our shared love for travel. The conversation flowed naturally, and the rest is history. I’m so grateful for this platform!”


Key Elements to Finding a Mutual Connection

While a great opening line can spark a conversation, building a real connection takes more than just a clever message. Here are the key elements to look for when seeking a meaningful connection:

1. Shared Values and Goals

A strong connection starts with alignment on the things that matter most. Do you share similar values, life goals, or visions for the future?

2. Emotional Availability

Look for someone who is willing to share their thoughts, feelings, and vulnerabilities—and who encourages you to do the same.

3. Mutual Effort

Healthy relationships are a two-way street. Both people should be putting in effort to communicate, plan dates, and support each other.

4. Respect for Individuality

A true connection allows both people to be themselves without judgment. Look for someone who celebrates your uniqueness and encourages you to pursue your passions.

5. Open and Honest Communication

Communication is the foundation of any strong relationship. A mutual connection thrives on honesty, transparency, and the ability to resolve conflicts in a healthy way.


At MixerDates, we’re here to help you find these key elements in a partner. Our platform is designed to connect you with people who share your values and are looking for the same things you are. Starting a conversation on a dating app doesn’t have to be stressful. With the right opening line, you can spark a connection that feels natural, fun, and meaningful. And at MixerDates, we’re here to help you every step of the way.

So, what are you waiting for? Craft that perfect opening line, join MixerDates, and start connecting with people who value authenticity and positivity. Your perfect match is out there—and they’re just one message away.

How to Flirt on a First Date Without Feeling Awkward

First dates can be exciting and nerve-wracking all at once. You’re meeting someone new, learning about their interests, and trying to figure out if there’s chemistry between you. And then there’s flirting, that delicate dance of showing someone you’re interested without being too forward or awkward.

Flirting doesn’t have to be a high-pressure situation. In fact, it can be the most fun part of getting to know someone. Whether you're meeting someone on MixerDates or any other platform, the most important thing is to be genuine, stay calm, and let the connection develop naturally.

If you’ve ever found yourself wondering how to flirt on a first date without feeling uncomfortable, you’re not alone. Everyone has their awkward moments, but the more you understand the art of flirting, the easier it becomes. In this article, we’ll break down how to flirt in a way that feels natural, exciting, and authentic to who you are. So, let's dive in and learn how to make the most of your first date experience—without overthinking it.


Confidence: The Foundation of Flirting

When it comes to flirting, confidence is key. But what does it really mean to be confident on a first date? Confidence doesn’t mean you need to be perfect, or even outgoing—it simply means being comfortable in your own skin and showing up as your authentic self.

Have you ever noticed how people are drawn to those who radiate self-assurance? It’s not about bragging or dominating the conversationit’s about presenting yourself with ease. If you feel good about yourself, it will naturally show. A great smile, good posture, and eye contact can go a long way in making a good first impression.

For instance, think about the last time someone walked into a room and immediately caught your attention—not because they were the most attractive person in the room, but because of their energy. They were confident, they were present, and they made you feel at ease. That’s the kind of confidence you want to project on your date.

When you're confident, you're not worried about saying the perfect thing. Instead, you focus on enjoying the moment, making the other person feel comfortable, and letting the connection happen naturally. That’s the magic of confidence—it allows you to be present, fun, and, most importantly, yourself.

The Power of Subtlety

Let’s face it—no one wants to feel like they’re being “worked” or put through a game. That’s why subtlety is such a powerful tool when it comes to flirting. It's all about showing interest without being over-the-top or too obvious.

Flirting doesn’t always mean complimenting someone non-stop or using cheesy pickup lines. In fact, the most successful flirting is the kind that happens behind the scenes—subtle, playful, and lighthearted. Think about the little moments, like a teasing comment about how they always order the same thing at a restaurant or the way you laugh at a silly joke they make.

The key is to find a balance. A simple smile or a playful comment can convey interest without being too much. For example, if your date tells you they love hiking but they tend to get lost easily, you could say something like, “So, you’re telling me you need a personal guide? I could get behind that!” It’s lighthearted, humorous, and most importantly, it keeps the conversation fun without putting too much pressure on the situation.

By keeping it subtle, you allow your date to feel at ease. It takes the pressure off them to be perfect and allows both of you to enjoy the interaction more naturally. Flirting doesn’t need to be a performance—it’s about creating an environment where both of you can feel comfortable and authentic.


Active Listening: A Key to Connection

Now, let’s talk about something incredibly important in the flirting game: active listening. When we’re on a date, we often get caught up in thinking about what to say next, how we’re coming across, or if we’re being interesting enough. But the best way to make an impression? Truly listening to your date.

Active listening means you’re fully engaged in the conversation, giving your date your full attention and responding thoughtfully. It’s about showing that you care about what they’re saying and that you’re genuinely interested in getting to know them better. When you listen actively, you’re also giving them space to open up, and that can create an immediate connection.

For example, if your date mentions they recently traveled to Japan, instead of simply saying, “That’s cool!” you could follow up with something like, “What was the most memorable experience you had there?” This shows that you’re not just hearing their words but are genuinely curious and invested in their experiences. It’s a great way to build rapport and let them know you’re not just there to impress them—you’re there to connect.

Body Language: Saying More Than Words Can

While your words are important, body language often speaks louder than anything you can say. Whether you realize it or not, your body is constantly communicating how you feel. How you sit, stand, and move tells your date whether you’re relaxed, engaged, or distracted.

Small gestures can go a long way in flirting. A light touch on the arm, a subtle lean in when they’re speaking, or maintaining good eye contact—all these body language cues help signal your interest. And the great thing is, when done naturally, these cues can be just as effective as words.

For example, if you’re sitting at a café on your date and you lean in slightly when they’re sharing a funny story, you’re not just showing that you’re interested—you’re inviting them into your space. It’s an invitation to connect further. And when they respond by leaning in too, that’s when the magic happens—the unspoken connection that tells you both that there’s potential for more.

Flirting through body language doesn’t mean making grand gestures or being overly touchy. It’s about being present and showing that you’re engaged with your date in a subtle, but meaningful way.


Have Fun: Don’t Take It Too Seriously

It’s easy to get caught up in overthinking how to flirt or trying to figure out if your date is into you. But here’s a secret—when you let go of the pressure and allow yourself to have fun, everything flows much more naturally. Flirting on a first date doesn’t need to feel like a test or an assignment. It’s supposed to be a fun, lighthearted experience that sets the stage for more great dates ahead.

When was the last time you had a genuinely fun date? Was it when you were trying too hard to impress, or when you were both laughing, chatting, and enjoying each other's company? Flirting becomes effortless when you're present, enjoying the moment, and letting the connection grow naturally.

Sometimes, it's the small momentslike sharing a laugh or swapping embarrassing stories—that make a first date truly special. When you focus on having fun, you create an environment where both of you can relax, flirt, and let the chemistry grow. That’s the secret to a great date.

Flirting with the Right Match: How MixerDates Makes It Easier

One of the best things about using a platform like MixerDates is that it takes the guesswork out of the equation. By connecting with someone who already shares your interests and values, you’ve got a head start on making a real connection. No more swiping through countless profiles hoping for a sparkon MixerDates, you already know there’s something in common.

When you’re already on the same page with your date, flirting comes more easily. There’s less of that awkward, “Are we even on the same wavelength?” feeling, and more of the fun, “Wow, we really click!” vibe. Whether you’re talking about favorite hobbies, movies, or life goals, the conversation flows naturally, making the flirting feel effortless.

If you're looking for a place to meet like-minded people and build genuine connections, MixerDates is the perfect platform. It's a great place to find someone who appreciates you for who you are and who you can naturally flirt with, without the stress.

Ready to Take the Leap?

Flirting on a first date is all about confidence, connection, and fun. When you let go of the pressure and focus on enjoying the experience, the chemistry will naturally follow. Remember, the best way to flirt is by being yourself—let your personality shine through, listen with intention, and embrace the moment.

And if you’re ready to meet someone new, who’s just as interested in making a connection as you are, MixerDates is the perfect place to start. So go ahead, take the leap, and see where it leads. Who knows? Your next great connection might be just a click away.

Sign up for MixerDates today and start your journey to exciting first dates and meaningful connections!

2025-02-02

Chatgptが答えた異星人の存在可能性とのそのロジック

Please consider the histroy of humanity from biological perpsecitve and current known fact in nearby universe, which expo-planet (from the Sol system perspective) is most likely to have civlizaed society? Please add percentage next to it in the chart

ChatGPT

Reasoned about exoplanet civilization likelihoodを28 秒行う

Evaluating planetary prospects

OK, I’m looking at the likelihood of a civilized society on an exoplanet within our Solar System. I’ll consider biological history and current space knowledge, aiming to identify the most promising candidate.

Identifying potential candidates

I'm considering exoplanets like Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from our Solar System.

Assessing potential candidates

I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIST-1, focusing on their habitable zones and available data. The Drake equation might help estimate their civilized society likelihoods.

Identifying promising exoplanets

I’m noting key exoplanets like Proxima Centauri b and TRAPPIST-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candidates for advanced civilizations.

Assessing habitable zones

I'm gathering info on planets like Proxima Centauri b and TRAPPIST-1, considering factors like magnetic fields, atmospheres, and proximity to G-type stars for their potential to support advanced civilizations.

Evaluating exoplanet prospects

I'm noting that Proxima Centauri b, despite being close and around a red dwarf star, might support life if it has a magnetic field and atmosphere. This makes me think about its potential.

Charting probabilities

I'm estimating civilization probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.

Charting speculative odds

I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.

Identifying exoplanet contenders

I’m evaluating exoplanets like Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering their star types and distances, to gauge their potential for supporting advanced civilizations from our solar system's viewpoint.

Weighing proximity and observation

I'm leaning towards Proxima Centauri b due to its closeness and observational potential, despite concerns about its flare star dynamics. TRAPPIST-1 e, f, or g are also worth considering.

Revisiting exoplanet options

I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, and K2-18b, aiming to chart their likelihood of hosting a civilized society based on current knowledge.

Assessing exoplanet potentials

I'm gathering speculative probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilized society.

Refining speculative probabilities

I’m refining speculative probabilities for exoplanets, including Proxima Centauri b and TRAPPIST-1 e/f/g, to estimate their chances of hosting a civilized society, considering Earth's long biological history.

Refining odds

I'm considering the astronomical timeline for intelligent life on Earth, leading me to assign even lower speculative odds for exoplanets like Proxima Centauri b and TRAPPIST-1 e.

Clarifying speculative nature

I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.

Mapping out speculative odds

I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.

Crafting a chart

I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.

Integrating speculative analysis

I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complexity and simplifying for an 8-year-old's understanding.

Assessing likelihoods

I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.

Piecing together speculative odds

I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and adding a disclaimer about the speculative nature and lack of evidence.

Piecing together

I’m leaning towards Proxima Centauri b for its proximity and silent star, but I’ll add a speculative chart ranking nearby exoplanets, noting their advanced civilizations' hypothetical likelihood.

Assessing civilization probabilities

I'm emphasizing the slow emergence of intelligent life on Earth, which suggests that the odds of any habitable planet developing a complex civilization might be as low as a few percent.

Below is a very speculative chart thatbased on what we know about Earth’s long, winding path from simple life to a “civilized society” and our limited observations of nearby exoplanets—gives some fun, made‑up percentage chances for a few of our best candidate exoplanets. Remember: Scientists have not yet found any proof of life (let alone advanced civilizations) on any exoplanet. These numbers are just playful estimates to help you think about the ideas!

Speculative Chances of Finding an Advanced Civilization on Nearby Exoplanets

Exoplanet Estimated Likelihood of a Civilized Society

Proxima Centauri b ~2%

TRAPPIST-1 e ~1.5%

TRAPPIST-1 f ~1%

TRAPPIST-1 g ~1%

LHS 1140 b ~0.5%

How Did We (Very Roughly) Guess These Numbers?

Earth’s Example:

On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.

Nearby Exoplanets:

Proxima Centauri b:

This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candidates. That’s why we give it a slightly higher guess (~2%).

TRAPPIST-1 System (e, f, g):

These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.

LHS 1140 b:

This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.

A Final Note

All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.

Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!




あなた:

Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use

ChatGPT

Reasoned about the Drake Equationを6 秒行う

re-examining the Drake Equation

evaluating the Drake Equation's value

Clarifying the Drake Equation

OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.

Assessing the Drake Equation

Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its criticism to conclude on its reliability as an accurate predictive model.

Understanding the Drake Equation

I’m mapping out the Drake Equation as a conceptual guide, detailing its parameters, which are often based on estimates or opinions, to evaluate its reliability for predicting extraterrestrial civilizations.

The Drake Equation is a famous formula that was created to help scientists think about the many factors involved in estimating the number of detectable extraterrestrial civilizations in our galaxy. However, when we look at the equation closely, we see that it is more of a conceptual framework or heuristic tool than a precise, predictive formula. Let’s break down why:

The Drake Equation

The equation is usually written as:

𝑁

=

𝑅

×

𝑓

𝑝

×

𝑛

𝑒

×

𝑓

𝑙

×

𝑓

𝑖

×

𝑓

𝑐

×

𝐿

N=R

×f

p

×n

e

×f

l

×f

i

×f

c

×L

Where:

𝑅

R

: The average rate of star formation per year in our galaxy.

𝑓

𝑝

f

p

: The fraction of those stars that have planetary systems.

𝑛

𝑒

n

e

: The average number of planets that could potentially support life per star with planets.

𝑓

𝑙

f

l

: The fraction of those planets where life actually develops.

𝑓

𝑖

f

i

: The fraction of planets with life where intelligent life evolves.

𝑓

𝑐

f

c

: The fraction of civilizations that develop technology that releases detectable signals into space.

𝐿

L: The length of time such civilizations release detectable signals.

Why the Drake Equation Is More of a Guideline Than a Precise Formula

Uncertain Inputs:

Well-Known Parameters:

Some factors, like

𝑅

R

(star formation rate) and

𝑓

𝑝

f

p

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

Highly Speculative Factors:

The parameters related to the development of life and intelligence

𝑓

𝑙

f

l

,

𝑓

𝑖

f

i

,

𝑓

𝑐

f

c

, and

𝐿

L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a statistically robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.

Wide Ranges of Possible Values:

Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for

𝑁

N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.

Heuristic, Not Predictive:

The Drake Equation was never meant to provide a precise answer. Instead, it serves as a way to organize our thinking about what conditions might be necessary for the development of extraterrestrial civilizations. It encourages discussion about the relative importance of different factors and highlights where our scientific knowledge is limited.

Is the Drake Equation Accurate or More Opinion-Based?

Accurate?

In the sense of being a strict mathematical model with well-defined inputs and predictable outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.

Opinion-Based?

Many of the terms in the equation, especially those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.

Conclusion

The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of the number of extraterrestrial civilizations.

In summary, while the Drake Equation is useful for thinking about the various factors that might lead to the emergence of a civilization, its outputs should be taken as highly speculative estimates rather than precise measurements.




あなた:

Please also consider the possiblities of non-human intelligent emrgencing from the long history of Sol system and nearby planets and see if there is any possiblites that in one time intelligent life emerged in nearby planets and see this to the equation

ChatGPT

Reasoned about non-human intelligence and the Drake Equationを19 秒行う

Evaluating non-human intelligence

I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.

Piecing together possibilities

I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.

Reflecting on potential

It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.

Considering other realms

I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the predictions of the Drake Equation.

Analyzing parallel evolution

Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.

Evaluating life exploration

I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.

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

Chatgptが答えた異星人の存在可能性とのそのロジック

Please consider the histroy of humanity from biological perpsecitve and current known fact in nearby universe, which expo-planet (from the Sol system perspective) is most likely to have civlizaed society? Please add percentage next to it in the chart

ChatGPT

Reasoned about exoplanet civilization likelihoodを28 秒行う

Evaluating planetary prospects

OK, I’m looking at the likelihood of a civilized society on an exoplanet within our Solar System. I’ll consider biological history and current space knowledge, aiming to identify the most promising candidate.

Identifying potential candidates

I'm considering exoplanets like Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from our Solar System.

Assessing potential candidates

I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIST-1, focusing on their habitable zones and available data. The Drake equation might help estimate their civilized society likelihoods.

Identifying promising exoplanets

I’m noting key exoplanets like Proxima Centauri b and TRAPPIST-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candidates for advanced civilizations.

Assessing habitable zones

I'm gathering info on planets like Proxima Centauri b and TRAPPIST-1, considering factors like magnetic fields, atmospheres, and proximity to G-type stars for their potential to support advanced civilizations.

Evaluating exoplanet prospects

I'm noting that Proxima Centauri b, despite being close and around a red dwarf star, might support life if it has a magnetic field and atmosphere. This makes me think about its potential.

Charting probabilities

I'm estimating civilization probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.

Charting speculative odds

I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.

Identifying exoplanet contenders

I’m evaluating exoplanets like Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering their star types and distances, to gauge their potential for supporting advanced civilizations from our solar system's viewpoint.

Weighing proximity and observation

I'm leaning towards Proxima Centauri b due to its closeness and observational potential, despite concerns about its flare star dynamics. TRAPPIST-1 e, f, or g are also worth considering.

Revisiting exoplanet options

I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, and K2-18b, aiming to chart their likelihood of hosting a civilized society based on current knowledge.

Assessing exoplanet potentials

I'm gathering speculative probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilized society.

Refining speculative probabilities

I’m refining speculative probabilities for exoplanets, including Proxima Centauri b and TRAPPIST-1 e/f/g, to estimate their chances of hosting a civilized society, considering Earth's long biological history.

Refining odds

I'm considering the astronomical timeline for intelligent life on Earth, leading me to assign even lower speculative odds for exoplanets like Proxima Centauri b and TRAPPIST-1 e.

Clarifying speculative nature

I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.

Mapping out speculative odds

I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.

Crafting a chart

I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.

Integrating speculative analysis

I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complexity and simplifying for an 8-year-old's understanding.

Assessing likelihoods

I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.

Piecing together speculative odds

I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and adding a disclaimer about the speculative nature and lack of evidence.

Piecing together

I’m leaning towards Proxima Centauri b for its proximity and silent star, but I’ll add a speculative chart ranking nearby exoplanets, noting their advanced civilizations' hypothetical likelihood.

Assessing civilization probabilities

I'm emphasizing the slow emergence of intelligent life on Earth, which suggests that the odds of any habitable planet developing a complex civilization might be as low as a few percent.

Below is a very speculative chart thatbased on what we know about Earth’s long, winding path from simple life to a “civilized society” and our limited observations of nearby exoplanets—gives some fun, made‑up percentage chances for a few of our best candidate exoplanets. Remember: Scientists have not yet found any proof of life (let alone advanced civilizations) on any exoplanet. These numbers are just playful estimates to help you think about the ideas!

Speculative Chances of Finding an Advanced Civilization on Nearby Exoplanets

Exoplanet Estimated Likelihood of a Civilized Society

Proxima Centauri b ~2%

TRAPPIST-1 e ~1.5%

TRAPPIST-1 f ~1%

TRAPPIST-1 g ~1%

LHS 1140 b ~0.5%

How Did We (Very Roughly) Guess These Numbers?

Earth’s Example:

On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.

Nearby Exoplanets:

Proxima Centauri b:

This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candidates. That’s why we give it a slightly higher guess (~2%).

TRAPPIST-1 System (e, f, g):

These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.

LHS 1140 b:

This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.

A Final Note

All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.

Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!




あなた:

Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use

ChatGPT

Reasoned about the Drake Equationを6 秒行う

re-examining the Drake Equation

evaluating the Drake Equation's value

Clarifying the Drake Equation

OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.

Assessing the Drake Equation

Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its criticism to conclude on its reliability as an accurate predictive model.

Understanding the Drake Equation

I’m mapping out the Drake Equation as a conceptual guide, detailing its parameters, which are often based on estimates or opinions, to evaluate its reliability for predicting extraterrestrial civilizations.

The Drake Equation is a famous formula that was created to help scientists think about the many factors involved in estimating the number of detectable extraterrestrial civilizations in our galaxy. However, when we look at the equation closely, we see that it is more of a conceptual framework or heuristic tool than a precise, predictive formula. Let’s break down why:

The Drake Equation

The equation is usually written as:

𝑁

=

𝑅

×

𝑓

𝑝

×

𝑛

𝑒

×

𝑓

𝑙

×

𝑓

𝑖

×

𝑓

𝑐

×

𝐿

N=R

×f

p

×n

e

×f

l

×f

i

×f

c

×L

Where:

𝑅

R

: The average rate of star formation per year in our galaxy.

𝑓

𝑝

f

p

: The fraction of those stars that have planetary systems.

𝑛

𝑒

n

e

: The average number of planets that could potentially support life per star with planets.

𝑓

𝑙

f

l

: The fraction of those planets where life actually develops.

𝑓

𝑖

f

i

: The fraction of planets with life where intelligent life evolves.

𝑓

𝑐

f

c

: The fraction of civilizations that develop technology that releases detectable signals into space.

𝐿

L: The length of time such civilizations release detectable signals.

Why the Drake Equation Is More of a Guideline Than a Precise Formula

Uncertain Inputs:

Well-Known Parameters:

Some factors, like

𝑅

R

(star formation rate) and

𝑓

𝑝

f

p

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

Highly Speculative Factors:

The parameters related to the development of life and intelligence

𝑓

𝑙

f

l

,

𝑓

𝑖

f

i

,

𝑓

𝑐

f

c

, and

𝐿

L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a statistically robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.

Wide Ranges of Possible Values:

Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for

𝑁

N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.

Heuristic, Not Predictive:

The Drake Equation was never meant to provide a precise answer. Instead, it serves as a way to organize our thinking about what conditions might be necessary for the development of extraterrestrial civilizations. It encourages discussion about the relative importance of different factors and highlights where our scientific knowledge is limited.

Is the Drake Equation Accurate or More Opinion-Based?

Accurate?

In the sense of being a strict mathematical model with well-defined inputs and predictable outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.

Opinion-Based?

Many of the terms in the equation, especially those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.

Conclusion

The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of the number of extraterrestrial civilizations.

In summary, while the Drake Equation is useful for thinking about the various factors that might lead to the emergence of a civilization, its outputs should be taken as highly speculative estimates rather than precise measurements.




あなた:

Please also consider the possiblities of non-human intelligent emrgencing from the long history of Sol system and nearby planets and see if there is any possiblites that in one time intelligent life emerged in nearby planets and see this to the equation

ChatGPT

Reasoned about non-human intelligence and the Drake Equationを19 秒行う

Evaluating non-human intelligence

I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.

Piecing together possibilities

I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.

Reflecting on potential

It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.

Considering other realms

I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the predictions of the Drake Equation.

Analyzing parallel evolution

Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.

Evaluating life exploration

I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.

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

2025-01-13

ハリウッド9.11同時多発テロを境に変節したと思っている

anond:20250112122222

興行収入の話で、ハリウッドの大きな節目は9.11だったと思っていて、ちょっと確認してみた。
当時の印象だと、事件の直後は様々な映画の公開が延期されたりキャンセルされたりして、その後数年は戦争アクション物に偏重し、結果としてハリウッド映画定番ジャンル一角だったラブロマンスコメディ映画が激減していったというイメージ
かにも大作指向のような業界動向や様々な社会情勢も影響していたとは思うけど、やはり9.11が一つのターニングポイントだったと思う。日本での洋画ヒットが減っていった遠因のひとつもこのあたりにあるのではないか?

以下のリストはChatGPT調べ。

以下のリストは、主に Box Office Mojo 等のデータ(全米興行収入・未調整値)をもとにした、

アメリカ北米国内での年間興行収入ランキングトップ20

を「1995年2004年」の10年分まとめたものです。金額は概算の百万ドル($M)表記です。

当時の再上映や、ごく短期間の拡大公開による微調整で順位前後する場合もあるため、参考値としてご覧ください。

1995年

  1. トイ・ストーリー (Toy Story) – $191.8M
  2. バットマン フォーエヴァー (Batman Forever) – $184.0M
  3. アポロ13 (Apollo 13) – $172.1M
  4. ポカホンタス (Pocahontas) – $141.6M
  5. エース・ベンチュラ2 (Ace Ventura: When Nature Calls) – $108.4M
  6. 007 ゴールデンアイ (GoldenEye) – $106.4M
  7. ジュマンジ (Jumanji) – $100.5M
  8. キャスパー (Casper) – $100.3M
  9. セブン (Se7en) – $100.1M
  10. ダイ・ハード3 (Die Hard with a Vengeance) – $100.0M
  11. クリムゾン・タイド (Crimson Tide) – $91.4M
  12. ウォーターワールド (Waterworld) – $88.2M
  13. デンジャラスマインド卒業の日まで (Dangerous Minds) – $84.9M
  14. あなたが寝てる間に… (While You Were Sleeping) – $81.1M
  15. コンゴ (Congo) – $81.0M
  16. 花嫁のパパ2 (Father of the Bride Part II) – $76.6M
  17. ブレイブハート (Braveheart) – $75.6M
  18. ゲット・ショーティ (Get Shorty) – $72.1M
  19. ヒート (Heat) – $67.4M
  20. ため息つかせて (Waiting to Exhale) – $67.0M

1996年

  1. インデペンデンス・デイ (Independence Day) – $306.2M
  2. ツイスター (Twister) – $241.7M
  3. ミッション:インポッシブル (Mission: Impossible) – $180.9M
  4. ザ・エージェント (Jerry Maguire) – $153.9M
  5. 乱闘(ランソム) (Ransom) – $136.5M
  6. 101 (ワン・オー・ワン) (101 Dalmatians, 実写版) – $136.2M
  7. ザ・ロック (The Rock) – $134.1M
  8. ナッティプロフェッサー (The Nutty Professor) – $128.8M
  9. バードケージ (The Birdcage) – $124.1M
  10. 評決のとき (A Time to Kill) – $108.7M
  11. ファースト・ワイヴズ・クラブ (The First Wives Club) – $105.5M
  12. フェノミナン (Phenomenon) – $104.6M
  13. イレイザー (Eraser) – $101.2M
  14. ノートルダムの鐘 (The Hunchback of Notre Dame) – $100.1M
  15. マイケル (Michael) – $95.3M
  16. スター・トレック ファーストコンタクト (Star Trek: First Contact) – $92.0M
  17. イングリッシュ・ペイシェント (The English Patient) – $78.7M
  18. ブロークン・アロー (Broken Arrow) – $70.7M
  19. ビーバスバットヘッド Do America (Beavis and Butt-Head Do America) – $63.1M
  20. ケーブルガイ (The Cable Guy) – $60.2M

1997年

  1. タイタニック (Titanic) – $600.7M
  2. メン・イン・ブラック (Men in Black) – $250.7M
  3. ロスト・ワールド/ジュラシック・パーク (The Lost World: Jurassic Park) – $229.1M
  4. ライアー ライアー (Liar Liar) – $181.4M
  5. エアフォース・ワン (Air Force One) – $172.9M
  6. 恋愛小説家 (As Good as It Gets) – $148.5M
  7. グッド・ウィルハンティング (Good Will Hunting) – $138.4M
  8. スター・ウォーズ 特別篇 (Star Wars re-release) – $138.3M
  9. ベスト・フレンズ・ウェディング (My Best Friend’s Wedding) – $127.1M
  10. 007 トゥモロー・ネバー・ダイ (Tomorrow Never Dies) – $125.3M
  11. フェイス/オフ (Face/Off) – $112.3M
  12. バットマン & ロビン (Batman & Robin) – $107.3M
  13. ジャングルジョージ (George of the Jungle) – $105.3M
  14. スクリーム2 (Scream 2) – $101.4M
  15. コン・エアー (Con Air) – $101.1M
  16. コンタクト (Contact) – $100.9M
  17. ヘラクレス (Hercules) – $99.1M
  18. ラバー (Flubber) – $92.9M
  19. ダンテズ・ピーク (Dante’s Peak) – $67.1M
  20. アナコンダ (Anaconda) – $65.9M

1998年

  1. プライベート・ライアン (Saving Private Ryan) – $216.5M
  2. アルマゲドン (Armageddon) – $201.6M
  3. メリーに首ったけ (There’s Something About Mary) – $176.5M
  4. バグズ・ライフ (A Bug’s Life) – $162.8M
  5. ウォーターボーイ (The Waterboy) – $161.5M
  6. ドクタードリトル (Dr. Dolittle) – $144.1M
  7. ラッシュアワー (Rush Hour) – $141.2M
  8. ディープ・インパクト (Deep Impact) – $140.5M
  9. GODZILLA – $136.3M
  10. パッチアダムス (Patch Adams) – $135.0M
  11. リーサル・ウェポン4 (Lethal Weapon 4) – $130.4M
  12. ムーラン (Mulan) – $120.6M
  13. ユー・ガット・メール (You’ve Got Mail) – $115.8M
  14. エネミー・オブ・アメリカ (Enemy of the State) – $111.5M
  15. プリンス・オブ・エジプト (The Prince of Egypt) – $101.4M
  16. 恋におちたシェイクスピア (Shakespeare in Love) – $100.3M
  17. マスク・オブ・ゾロ (The Mask of Zorro) – $94.0M
  18. ステップ・マム (Stepmom) – $91.0M
  19. アンツ (Antz) – $90.8M
  20. X-ファイル (The X-Files) – $83.9M

1999年

  1. スター・ウォーズ エピソード1ファントム・メナス – $474.5M
  2. シックス・センス (The Sixth Sense) – $293.5M
  3. トイ・ストーリー2 (Toy Story 2) – $245.9M
  4. オースティン・パワーズ:デラックス (Austin Powers: The Spy Who Shagged Me) – $206.0M
  5. マトリックス (The Matrix) – $171.4M
  6. ターザン (Tarzan) – $171.1M
  7. ビッグ・ダディ (Big Daddy) – $163.5M
  8. ハムナプトラ/失われた砂漠の都 (The Mummy) – $155.4M
  9. プリティ・ブライド (Runaway Bride) – $152.2M
  10. ブレア・ウィッチ・プロジェクト (The Blair Witch Project) – $140.5M
  11. スチュアート・リトル (Stuart Little) – $140.0M
  12. グリーンマイル (The Green Mile) – $136.8M
  13. アメリカン・ビューティー (American Beauty) – $130.1M
  14. 007 ワールド・イズ・ノット・イナフ (The World Is Not Enough) – $126.9M
  15. ダブル・ジョパディー (Double Jeopardy) – $116.7M
  16. ノッティングヒルの恋人 (Notting Hill) – $116.1M
  17. ワイルド・ワイルド・ウエスト (Wild Wild West) – $113.8M
  18. アナライズ・ミー (Analyze This) – $106.8M
  19. アメリカン・パイ (American Pie) – $102.6M
  20. スリーピー・ホロウ (Sleepy Hollow) – $101.1M

2000年

  1. グリンチ (How the Grinch Stole Christmas) – $260.0M
  2. キャスト・アウェイ (Cast Away) – $233.6M
  3. M:I-2 (Mission: Impossible II) – $215.4M
  4. グラディエーター (Gladiator) – $187.7M
  5. ハート・オブ・ウーマン (What Women Want) – $182.8M
  6. パーフェクト ストーム (The Perfect Storm) – $182.6M
  7. ミート・ザ・ペアレンツ (Meet the Parents) – $166.2M
  8. X-メン (X-Men) – $157.3M
  9. 最終絶叫計画 (Scary Movie) – $157.0M
  10. ホワット・ライズ・ビニース (What Lies Beneath) – $155.4M
  11. ダイナソー (Dinosaur) – $137.7M
  12. グリーン・デスティニー (Crouching Tiger, Hidden Dragon) – $128.1M
  13. エリン・ブロコビッチ (Erin Brockovich) – $125.6M
  14. チャーリーズ・エンジェル (Charlie’s Angels) – $125.3M
  15. ナッティプロフェッサー2 (Nutty Professor II: The Klumps) – $123.3M
  16. ビッグママハウス (Big Momma’s House) – $117.6M
  17. リメンバー・ザ・タイタンズ (Remember the Titans) – $115.6M
  18. パトリオット (The Patriot) – $113.3M
  19. デンジャラス・ビューティー (Miss Congeniality) – $106.8M
  20. 60セカンズ (Gone in 60 Seconds) – $101.6M

2001年 9.11同時多発テロ発生

  1. ハリー・ポッターと賢者の石 (Harry Potter and the Sorcerer’s Stone) – $317.6M
  2. ロード・オブ・ザ・リング旅の仲間 (The Lord of the Rings: The Fellowship of the Ring) – $315.5M
  3. シュレック (Shrek) – $267.6M
  4. モンスターズ・インク (Monsters, Inc.) – $255.9M
  5. ラッシュアワー2 (Rush Hour 2) – $226.2M
  6. ハムナプトラ2/黄金のピラミッド (The Mummy Returns) – $202.0M
  7. パール・ハーバー (Pearl Harbor) – $198.5M
  8. オーシャンズ11 (Ocean’s Eleven) – $183.4M
  9. ジュラシック・パークIII (Jurassic Park III) – $181.2M
  10. PLANET OF THE APES/猿の惑星 (Planet of the Apes) – $180.0M
  11. ビューティフル・マインド (A Beautiful Mind) – $170.7M
  12. ハンニバル (Hannibal) – $165.1M
  13. アメリカン・パイ2 (American Pie 2) – $145.1M
  14. ワイルド・スピード (The Fast and the Furious) – $144.5M
  15. トゥームレイダー (Lara Croft: Tomb Raider) – $131.1M
  16. ドクタードリトル2 (Dr. Dolittle 2) – $112.9M
  17. スパイキッズ (Spy Kids) – $112.7M
  18. ブラックホーク・ダウン (Black Hawk Down) – $108.6M
  19. プリンセスダイアリー (The Princess Diaries) – $108.2M
  20. バニラ・スカイ (Vanilla Sky) – $100.6M

2002年

  1. スパイダーマン (Spider-Man) – $403.7M
  2. ロード・オブ・ザ・リング二つの塔 (The Lord of the Rings: The Two Towers) – $342.6M
  3. スター・ウォーズ エピソード2クローンの攻撃 – $310.7M
  4. ハリー・ポッターと秘密の部屋 (Harry Potter and the Chamber of Secrets) – $261.9M
  5. マイ・ビッグ・ファット・ウェディング (My Big Fat Greek Wedding) – $241.4M
  6. サイン (Signs) – $227.9M
  7. オースティン・パワーズ ゴールドメンバー (Austin Powers in Goldmember) – $213.3M
  8. メン・イン・ブラック2 (Men in Black II) – $190.4M
  9. アイス・エイジ (Ice Age) – $176.4M
  10. シカゴ (Chicago) – $170.7M
  11. キャッチ・ミー・イフ・ユー・キャン (Catch Me If You Can) – $164.6M
  12. 007 ダイ・アナザー・デイ (Die Another Day) – $160.9M
  13. スクービー・ドゥー (Scooby-Doo) – $153.3M
  14. リロ・アンド・スティッチ (Lilo & Stitch) – $145.8M
  15. トリプルX (xXx) – $142.1M
  16. サンタクロースリターンズクリスマス危機一髪 (The Santa Clause 2) – $139.2M
  17. マイノリティ・リポート (Minority Report) – $132.1M
  18. ザ・リング (The Ring) – $129.1M
  19. スウィートホームアラバマ (Sweet Home Alabama) – $127.2M
  20. Mr.ディーズ (Mr. Deeds) – $126.3M

2003年

  1. ロード・オブ・ザ・リング王の帰還 (The Lord of the Rings: The Return of the King) – $377.8M
  2. ファインディング・ニモ (Finding Nemo) – $339.7M
  3. パイレーツ・オブ・カリビアン/呪われた海賊たち (Pirates of the Caribbean: The Curse of the Black Pearl) – $305.4M
  4. マトリックス リローデッド (The Matrix Reloaded) – $281.6M
  5. ブルース・オールマイティ (Bruce Almighty) – $242.8M
  6. X-MEN2 (X2: X-Men United) – $214.9M
  7. エルフサンタの国からやってきた〜 (Elf) – $173.4M
  8. ターミネーター3 (Terminator 3: Rise of the Machines) – $150.4M
  9. マトリックス レボリューションズ (The Matrix Revolutions) – $139.3M
  10. チープ・バイ・ザ・ダズン (Cheaper by the Dozen) – $138.6M
  11. バッドボーイズ2バッド (Bad Boys II) – $138.6M (ほぼ同額)
  12. エンガー・マネージメント (Anger Management) – $135.6M
  13. 女神継承? (Bringing Down the House) – $132.7M
  14. ハルク (Hulk) – $132.2M
  15. ワイルド・スピードX2 (2 Fast 2 Furious) – $127.2M
  16. シービスケット (Seabiscuit) – $120.2M
  17. S.W.A.T. – $116.9M
  18. ラスト サムライ (The Last Samurai) – $111.1M
  19. フォーチュン・クッキー (Freaky Friday) – $110.2M
  20. 最終絶叫計画3 (Scary Movie 3) – $109.0M

2004年

  1. シュレック2 (Shrek 2) – $441.2M
  2. スパイダーマン2 (Spider-Man 2) – $373.6M
  3. パッション (The Passion of the Christ) – $370.8M
  4. ミート・ザ・ペアレンツ2 (Meet the Fockers) – $279.3M
  5. Mr.インクレディブル (The Incredibles) – $261.4M
  6. ハリー・ポッターとアズカバンの囚人 (Harry Potter and the Prisoner of Azkaban) – $249.5M
  7. ポーラー・エクスプレス (The Polar Express) – $187.9M
  8. デイ・アフター・トゥモロー (The Day After Tomorrow) – $186.7M
  9. ボーン・スプレマシー (The Bourne Supremacy) – $176.2M
  10. ナショナル・トレジャー (National Treasure) – $173.0M
  11. シャーク・テイル (Shark Tale) – $160.8M
  12. アイ,ロボット (I, Robot) – $144.8M
  13. トロイ (Troy) – $133.3M
  14. 50回目のファースト・キス (50 First Dates) – $120.9M
  15. ヴァン・ヘルシング (Van Helsing) – $120.2M
  16. 華氏911 (Fahrenheit 9/11) – $119.2M
  17. レモニー・スニケットの世にも不幸せな物語 (Lemony Snicket's A Series of Unfortunate Events) – $118.6M
  18. ドッジボール (DodgeBall: A True Underdog Story) – $114.3M
  19. ヴィレッジ (The Village) – $114.2M
  20. コラテラル (Collateral) – $101.0M

参考・補足

いずれも 北米アメリカカナダ)での累計興行収入 を概算で示しています

順位金額は、後年の再上映や細かな集計の修正によって若干入れ替わることがあります

上記あくまで「製作年」ではなく「北米公開年」を基準とし、その年に公開された作品の最終的な国内興行収入をもとにしたランキングです(年をまたいで興収を伸ばした作品も含みます)。

2024-12-11

UHC暗殺犯のマニフェスト(とされるもの

まあ捕まる気だったんかな

==================================

連邦政府の皆さん、私は簡潔に述べますあなた方が我が国のために行っていることに敬意を表します。長い調査をしなくて済むように、私は誰とも協力していなかったとはっきり言います。これはかなり些細なことでした。基本的ソーシャルエンジニアリング基本的CAD、そして多くの忍耐力です。スパイラルノートがあれば、そのノートには、要点を明らかにする散らかったメモや To Do リストがあります。私はエンジニアリング仕事をしているから、私の技術はかなりロックされています。おそらく、そこにはあまり情報がありません。トラウマの争いがあったら申し訳ありませんが、やらざるを得ませんでした。率直に言って、これらの寄生虫は当然の報いを受けました。思い出してください。米国世界で最も高価な医療制度を持っていますが、平均寿命はおよそ 42 位です。ユナイテッドは、時価総額米国最大の [判読不能] 企業であり、アップルグーグルウォルマートに次ぐ企業です。同社はどんどん成長してきましたが、私たち平均寿命が伸びるにつれて?いいえ、現実は、これらの [判読不能] が単にあまりにも強力になり、私たちの国を虐待し続けているのです。莫大な利益を上げているのは、アメリカ国民がそれを許したからだ。明らかに問題もっと複雑だが、スペースがないし、率直に言って私は議論全体を述べるのに最も適任だとは思わない。しかし、数十年前に多くの人が腐敗と貪欲さを明らかにしており(例:ローゼンタールムーア)、問題はそのまま残っている。現時点では認識問題ではなく、明らかに権力争いが行われている。明らかに私は、これほど残酷なほど正直にこの問題に向き合った最初人物だ。」

"To the Feds, I'll keep this short, because I do respect what you do for our country. To save you a lengthy investigation, I state plainly that I wasn't working with anyone. This was fairly trivial: some elementary social engineering, basic CAD, a lot of patience. The spiral notebook, if present, has some straggling notes and To Do lists that illuminate the gist of it. My tech is pretty locked down because I work in engineering so probably not much info there. I do apologize for any strife of traumas but it had to be done. Frankly, these parasites simply had it coming. A reminder: the US has the #1 most expensive healthcare system in the world, yet we rank roughly #42 in life expectancy. United is the [indecipherable] largest company in the US by market cap, behind only Apple, Google, Walmart. It has grown and grown, but as our life expectancy? No the reality is, these [indecipherable] have simply gotten too powerful, and they continue to abuse our country for immense profit because the American public has allwed them to get away with it. Obviously the problem is more complex, but I do not have space, and frankly I do not pretend to be the most qualified person to lay out the full argument. But many have illuminated the corruption and greed (e.g.: Rosenthal, Moore), decades ago and the problems simply remain. It is not an issue of awareness at this point, but clearly power games at play. Evidently I am the first to face it with such brutal honesty."

2024-09-24

anond:20240923202829

千と千尋の神隠し

sprited away

 

スピリチュアルアウえぇーみたいに読んでたがスプライト的な単語だったんか

なお意味はよくわかっていない

中学でまじめに英語やっとくんだったわ

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