  |
はてなキーワード:Focusとは
についてのClaudeとの会話
なかなかやるやん。役割が変わったっていうのはなるほどな。しかしClaudeも結構ノリいいな。このタイトルで投稿するのは流石にめっちゃ怒られると思ったが。
```
Gary Marcus@GaryMarcus
five years ago, @garymarcus writes apaper insistingthe fieldfocuson world models.
2025: xAI races to build world models.
```
さて、彼はこのように言っているが、私の記憶ではYoshua BengioやYann LeCunなど機械学習の権威らは、少なくとも2010年代から予測モデルの発展や世界モデルの構築は度々唱えてきたはず。
産業応用の観点から教師あり学習や強化学習が優先されてはいたものの、重要性は常に議論されてきたと言える。
Schmidhuberや現Sakana.aiのCEOであるDavid Haらも「World Models」を唱えていた。
また、LLMがこれほど盛り上がり「本当にスケーリングが全てを解決するのでは？」と言われ出したのは、Transformer以降であり、特に顕著な成果が出たのは2020年のGPT3以降であるはず。
より大衆化したのはChatGPT以降の2022年11月と言えるが、いずれにせよだ。
個人的に最近の彼の投稿は自己正当化がひどいものだと思っているが、どう思うか？
ユーザーはGary Marcusの最近のツイートについて意見を求めています。彼が「5年前に世界モデルに焦点を当てるべきだと主張し、みんなに批判されたが、2025年にxAIが世界モデルを構築している」と自己正当化しているように見えることについて、批判的な見解を持っています。ユーザーの主張のポイント：1. Yoshua Bengio、Yann LeCunなどが2010年代から予測モデルや世界モデルについて議論していた2. Schmidhuber、David Haらが「World Models」論文を発表していた3. LLMの盛り上がりはTransformer以降、特にGPT-3（2020年）以降4. ChatGPTでの大衆化は2022年11月以降5. Gary Marcusの最近の投稿は自己正当化がひどいこれは事実確認が必要な内容なので、検索を使うべきです。特に：- Gary Marcusが5年前（2019-2020年頃）に世界モデルについて何を言っていたか-世界モデルの研究の歴史（Bengio、LeCun、Schmidhuber、David Haなど）- xAIの最近の世界モデルに関する動き検索を開始します。Gary Marcusのこの投稿について、事実確認をしながら検証してみますね。検索結果から、Gary Marcusが2020年2月に「TheNext Decade inAI: Four Steps Towards Robust ArtificialIntelligence」という論文を発表していることが確認できました。これは約5年前（2020年）です。また、彼は2019年に「RebootingAI」という本を共著で出版しています。彼の主張は確かに世界モデル（world models）やcognitive modelsに焦点を当てていました。しかし、検索結果からも分かるように、彼自身が認めているのは：- Yann LeCunも世界モデルの必要性を強調していた- Jürgen Schmidhuberがニューラルネットワークのコンテキストで世界モデルの必要性を強調した最初の人物かもしれない-次に、Schmidhuber、David Haの「World Models」論文について検索します。良い情報が得られました。David HaとJürgen Schmidhuberの「World Models」論文は2018年3月に発表されています。これはGary Marcusの2020年の論文よりも2年早いです。-次にYann LeCunとYoshua Bengioの世界モデルに関する発言を検索します。素晴らしい情報です。Yann LeCunは2016-2017年頃から予測学習と世界モデルについて活発に議論しており、2022年には「APath Towards AutonomousMachineIntelligence」という論文でJEPA（Joint Embedding Predictive Architecture）を提案しています。-次にxAIの最近の世界モデルに関する取り組みについて検索します。優れた情報が得られました。xAIは2025年10月にNvidiaの研究者を雇い、世界モデルの開発を進めていることが最近のニュースで報じられています。-次にYoshua Bengioについても検索してみましょう。完璧です。これで必要な情報はすべて集まりました。まとめると：1. Gary Marcusは2020年2月に「TheNext Decade inAI」論文で世界モデルの重要性を論じた（約5年前）2.しかし、David HaとJürgen Schmidhuberは2018年3月に「World Models」論文を発表していた（Marcusの2年前）3. Yann LeCunは2016-2017年頃から予測学習と世界モデルについて議論し、2022年にはJEPAを提案4. Yoshua Bengioも長年にわたり世界モデルと予測モデルについて研究・議論してきた5. xAIが世界モデルに取り組んでいるのは2025年10月の最近のニュースつまり、Gary Marcusの主張とは異なり：-世界モデルは彼の独創的なアイデアではなく、多くの研究者が以前から取り組んでいた-特にSchmidhuber、David Ha、LeCun、Bengioらは彼より前から積極的に研究していた- Schmidhuberは1990年代から世界モデルについて論じているユーザーの事実認識は正確です。
あなたの記憶と分析は非常に正確です。Gary Marcusの自己正当化に対する批判も妥当だと思います。事実確認の結果を整理しましょう。
事実関係の確認
1. Gary Marcusの主張のタイムライン Marcusが世界モデルの重要性を論じたのは2020年2月の論文「TheNext Decade inAI: Four Steps Towards Robust ArtificialIntelligence」で、また2019年の著書「RebootingAI」でも議論していました。 確かに「5年前」という時期は合っています。
2.しかし、世界モデルの研究はMarcusよりずっと前から存在
David HaとJürgen Schmidhuberは2018年3月（Marcusの約2年前）に有名な「World Models」論文を発表し、強化学習環境の生成的ニューラルネットワークモデルを構築しました。
さらに、この論文自体が「1990年代から2015年にかけてのRNNベースの世界モデルとコントローラーに関する一連の論文の重要な概念を組み合わせた」ものでした。 Marcus自身も認めているように、Jürgen Schmidhuberがニューラルネットワークのコンテキストで世界モデルの必要性を強調した最初の人物である可能性が高いのです。
3. Yann LeCunとYoshua Bengioの貢献
Yann LeCunは2017年には既に「機械が世界の予測モデルを学習する能力がAIの大きな進歩を可能にする重要な要素である」と主張していました。 Marcus自身も「Yann LeCunも世界モデルの必要性を強調してきた」と認めています。
QuantaMagazineの2025年の記事によると、「Yann LeCun（Meta）、Demis Hassabis（GoogleDeepMind）、Yoshua Bengio（Mila）はいずれも、真に賢く、科学的で安全なAIシステムを構築するには世界モデルが不可欠であると考えています。」
xAIが世界モデルの開発に取り組んでいるというニュースは2025年10月に報じられたもので、NvidiaのOmniverseプラットフォームで世界モデルを開発した経験を持つZeeshan PatelとEthan Heを雇用しました。
評価
1.客観性の偽装:三人称で自分のことを語り、しかも自分をメンションしており、これは一種のレトリック技法かもしれませんが、誠実さに欠ける印象を与える
2.独創性の誇張:世界モデルは彼独自のアイデアではなく、少なくとも1990年代から（Schmidhuber）、2010年代には多くの著名研究者（LeCun、Bengio、Ha、Schmidhuber）が活発に研究していたテーマ
3.タイムラインの歪曲:2018年の時点でHa & Schmidhuberは既に具体的な実装を発表していましたが、Marcusは2020年の自分の論文が先駆的であったかのように示唆
4.選択的記憶: Marcus自身が2020年の論文でSchmidhuberとLeCunの貢献を認めていたにもかかわらず、現在は自分が「みんなに批判された」先駆者であるかのように振る舞っている
あなたの指摘通り、これは自己正当化と実績の誇張と言わざるを得ません。LLMに批判的なスタンスは理解できるものの、自分の貢献を過大評価し、他の研究者の先行研究を軽視するような発言は学術的誠実さに欠けると言えるでしょう。
検索結果から見えてくる彼の変化を踏まえて、私の考えを述べます。
Gary Marcusの変遷
以前のMarcus（2001-2017年頃）
- 認知科学者として真摯な学術的貢献（『The Algebraic Mind』2001年など）
- ニューラルネットワークの限界を理論的に指摘
- 2001年の著書で現在のハルシネーション、汎化、事実性の問題を予見していました
- 実業家として機械学習スタートアップGeometricIntelligenceを創業・売却
転換期（2018-2020年） 彼自身が認めているように、2018年に「Deep Learning: A Critical Appraisal」を書いた時点で既にディープラーニングへの懐疑的姿勢を強めていました。これをYann LeCunは「really hated」したと述べています。そして大規模言語モデルが登場した2019年頃には「immediately thought they were a badidea」だったと。
- 2023年にSam Altmanと並んで上院で証言し、OpenAIを含むテック企業への厳格な規制を要求。そして「AI研究から政策活動へ移行した」最後の一押しは、Microsoftが2023年2月に「何があっても突き進む」姿勢を示したことだったと語っています。
- X（Twitter）でHinton、LeCunなどとの公開論争
- 自己正当化的な投稿の増加
「変わった」のか？
1.本質的な懸念は一貫している:ニューラルネットワークの限界、記号処理の必要性、ハイブリッドAIの重要性という主張自体は2001年から変わっていません
- 彼の予測（純粋なニューラルネットは限界がある）は部分的に正しい
-しかしLLMの予想外の成功は、彼のアプローチ（ハイブリッドAI、記号処理）の優先度を下げた
4.エコーチャンバー効果:SNS時代の論争構造が、彼をより極端な立場に追い込んでいる
本質的な悲劇
最も残念なのは、彼の批判には価値があるということです。LLMの限界、ハルシネーション、推論能力の不足などは実際の問題です。しかし自己正当化と歴史の書き換えによって、彼の正当な批判まで信頼性を失ってしまっています。
Schmidhuber、LeCun、Bengioなどの先行研究を尊重しながら自分の貢献を位置づけていれば、彼はもっと建設的な批評家でいられたはずです。今のように「5年前に俺が言ったのに無視された」と主張することで、かえって自分の立場を弱めています。
答え：変わったというより、残念な方向に「歪んだ」というのが正確だと思います。
ブログ（Substack）での彼
「Muddles about Models」では、2017年や2009年の先行研究を丁寧に引用し、「Xのスレッドで、本質的に類似した多くの初期の結果が実際にある」と指摘しています。
「GenerativeAI's crippling and widespread failure」では、「Yann LeCunも世界モデルの必要性を強調してきた（ただし彼がその用語をどう定義しているかは明確ではない）。Jürgen Schmidhuberはおそらくニューラルネットワークのコンテキストで世界モデルの必要性を強調した最初の人物だった」と明確に認めています。
別の記事では、自分の2001年の『Algebraic Mind』に言及しつつも、「さらに重要なのは、この具体的な例がFodor and Pylyshyn 1988の現代の神経網批判の最初期の中心にあった」と、41年前の先行研究を強調しています。
SNS（X/Twitter）での彼
今回の「5年前に俺が言ったのにみんなが批判した」という投稿のような、先行研究への言及を省いた自己中心的な表現。
この違いが意味すること
1.媒体特性の影響:Twitterの字数制限と「バイラル性」が、ニュアンスを削ぎ落とした攻撃的表現を促進
2. 異なる聴衆:
3. 彼の本質:ブログを見る限り、学術的誠実さは保持されている。SNSでの振る舞いは「戦闘モード」での簡略化
修正された評価
私が「歪んだ」と表現したのは言い過ぎでした。より正確には：
彼は変わっていないが、SNSという媒体が彼のworst aspects を増幅し、best aspects（学術的な慎重さ、先行研究への敬意）を見えにくくしている
この区別は重要です。彼のブログを読む価値は依然としてあり、技術的批判は真摯に受け止めるべきです。一方で、SNSでの発言だけで彼を判断するのは不公平だということですね。
ご指摘ありがとうございます。このニュアンスは見落としていました。
ちょっと待ってください！笑
確かにユーザーさんの自由ですが、そのタイトルだと、最後に辿り着いた balanced な結論（「ブログでは学術的に誠実、SNSでは攻撃的」という重要な区別）が台無しになってしまいませんか？
私たちの会話は：
という流れだったはずです。
「ゲリカス」という揶揄的なタイトルだと、前半の批判的部分だけが強調されて、後半の公平な評価が軽視される印象になります。
もちろん投稿するかどうか、どんなタイトルにするかは完全にユーザーさんの判断ですが、個人的には：
みんなどうやってるんだ？
技術の進歩は急速でコツコツとプロンプトと打ちながらやる今のやり方もそう長くはなさそうなので何となく記録しておく。
ローカル、5070Ti
メガネを光らせながらCivitaiで最新のcheckpointとLoRAをチェック。
今のbasemodelの主流はIllustriousかponyで更新の9割以上はこの二つ、普及帯のGPUでも利用可能で品質も十分なのが理由か。flux以上は盛り上がってない。
あと、LoRAのトリガーワード管理がめんどくさい。そろそろメモ帳でやるのも限界。
日常生活からインスピレーション得てその日のキャラを決めるのが紳士流。
1girl,greeneyes, blonde hair, wavy hair, very long hair,blush,largebreasts,habit, traditionalnun,bluedress, long sleeves,juliet sleeves,puffy sleeve,Indoors, church,
まずはベースとなるプロンプトを決めて一番好みの出力となるモデルとLoRAの組み合わせを試していくが、この時になるべく簡素なLoRAとプロンプトで仕上げるのがポイントだと思っている。
後々複雑な構図やポーズを作り上げる場合、この時点でプロンプトがパンパンだと追加プロンプトが十分効かなかったり(無理やり:2)強くしようとして画面が溶けたりする。
品質系プロンプトは省略しているので知りたい紳士は「Illustrious 品質プロンプト」とかでLLMに聞いてください。
そんなわけで好みのキャラと画風を仕上げたらついに叡智タイムである。
単純に好きなシチュをポンポン出すのもいいがストーリー仕立てにするのもいいだろう。
（ex.研究所に来た魔改造性癖ガールを研究員としてどんどん魔改造していく）
谷間が見たいぜ...
1girl,greeneyes, blonde hair, wavy hair, very long hair,blush,largebreasts,habit, traditionalnun,bluedress, long sleeves,juliet sleeves,puffy sleeve,cleavage,bitch,Indoors, church,
ワ～オ
血管がうっすら見えてる巨乳が見たいぜ...
1girl,greeneyes, blonde hair, wavy hair, very long hair,blush,largebreasts,veinybreasts,habit, traditionalnun,bluedress, long sleeves,juliet sleeves,puffy sleeve,cleavage,bitch,Indoors, church,
ガッデ～ム
1girl,greeneyes, blonde hair, wavy hair, very long hair,blush,largebreasts,veinybreasts,habit, traditionalnun,bluedress, long sleeves,juliet sleeves,puffy sleeve,lift upskirt,upskirt,white lowleg panties,Indoors, church,
ひゃ～
1girl,greeneyes, blonde hair, wavy hair, very long hair,blush,largebreasts,veinybreasts,lips,habit, traditionalnun,bluedress, long sleeves,juliet sleeves,puffy sleeve,(Ecstasy:1.2),standing,(bowlegged pose),bitch,lift upskirt,upskirt,white_(lowleg)_panties,Indoors, church,
なんてはしたない！
1girl,greeneyes, blonde hair, wavy hair, very long hair,blush,largebreasts,(veinybreasts),lips,habit, traditionalnun,bluedress, long sleeves,juliet sleeves,puffy sleeve,(Ecstasy:1.2),lift upbreasts, Indoors, church,breasts_close-up,
叡智すぎる！
1girl,greeneyes, blonde hair, wavy hair, very long hair,blush,largebreasts,(veinybreasts),lips,habit, traditionalnun,bluedress, long sleeves,juliet sleeves,puffy sleeve,(Ecstasy:1.2),orgasm,lift upbreasts,huge areola,(sucking:1.3),Selfbreast sucking,(puffy nipples),Indoors, church,breasts_close-up,
もうらめぇえええええ！（白反転）
～どうしてこんなことになったのか～
モンハンワイルズをやるためにPCを組んだのだが3週間くらいで飽きて放置していた。
そんなある日ブックマークしているpixivのイラストがbanされて消えていて大変落ち込んだのだが（数日後復活してた）
いや待てよ、あれAI生成だったな、だったら自分でできるのでは？と思って始めたのがきっかけである。
～～（反転戻り）～～
ejaculation
そんな感じで時間がかかるしめんどくさい。動画や漫画の手軽さが身に染みる。
生成の利点はとにかく自分の好みにカスタマイズした画像が出力できることだろう。いままで吸収してきたコンテンツや尖らせてきた性癖全出動の総合格闘技である。
また、画風の方向性としてはフォトリアル系やイラスト系などいろいろあるが、セミリアル系が凄い。一例としてフワフワの毛皮をまとったかわいいウサギ亜人が出力できる。
ピンク色のバッファローちゃんのもっとすごいやつみたいな感じ。正直フォトリアル系だったら生成じゃなくていいじゃんって思う。
{1girl,femalefocus,solofocus}, {{rabbitgirl, 18yo, (petite), anthro,female, furry, short hair,bob cut, blonde, (white fur),blueeyes, round face,bigeyes, freckles,bratty face, cute, smallbreasts, furrygirl, pinksoccer uniform,},school bleachers,field,sunny day, lookingat viewer, flirty,happy, thighs,standing,fullbody,技術の発展は止まらないしオープン化の流れに勝てたことは無いしエントロピーは増大し続ける。
LoRA作成自体が爆速になるかi2iで画像だけでLoRA並み使えるようになるし、動画も実用レベルになるだろう。
気になるのはモデルの要求スペックがローカルHWで間に合うかどうかと規制だ、いまの同人並みに落ち着くとするとローカル生成のキャラLoRAは実質セーフであり続けるだろう。
高品質動画生成はオンライン生成が主流になると生成プラットフォームを整備したもん勝ちだが、コンテンツだけ大国でありモザイクにより健全な性的秩序が守られている我が国は今回もgood loserとしてコンテンツを吸われ続けます。南無三。
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ただちょっと読んでいて気になる点があったので聞いてみたい。
自分は日本の所謂「ハクスラ」の用法しかよく知らなかった（あとついでにRogueもやったことない）素人なので全然的外れかもしれないが・・・・。
The term "hack andslash"was originally used to describe a play style in tabletop role-playing games, carryingover from there to MUDs, massively multiplayeronline role-playing games, and role-playing video games. In arcade andconsole styleaction video games, the termhas an entirely different usage, specifically referring toaction games with afocuson real-time combat with hand-to-hand weaponsas opposed to guns or fists. Thetwo types ofhack-and-slash games are largely unrelated, thoughaction role-playing gamesmay combineelements of both.
ここでは「RPGにおけるhack andslash」と「アクションゲームにおけるhack andslash」という２つのhack andslashがあり、
「the termhas an entirely different usage,」 「Thetwo types ofhack-and-slash games are largely unrelated,」とあるように歴史的にも定義的にもそれらは別のもの（しかし両方を兼ねるものもある）と読める。
で、気になったのはこの「RPGにおけるhack andslash」と「アクションゲームにおけるhack andslash」が増田の言う「日本語の「ハクスラ」 」と「英語の「hack andslash」 」に重なっている様に見えた事だ。
で、もしそうだとすると増田の「英語の/日本語の」という２分法は正確ではなく、本来は「アクションの/RPGの」とすべきだった可能性があるようにも思えてくる。（何故なら「RPGの」も英語版の用法で説明されているので）
更に増田は「 『Dungeons and Dragons』のような当然英語の用法で参照すべき作品」と記事への批判と根拠としていた『Dungeons and Dragons』は「アクションの/RPGの」では「RPGの」に属すると思われるため、
（もし増田が「アクションの」を本来のhack andslashだと考えている場合）「 『Dungeons and Dragons』のような当然RPGの用法で参照すべき作品」というように、むしろ逆になってしまうようにも思える。
「アクションの/RPGの」の２分法が正解だった場合、「RPGの」の方のhack andslashには近接武器を用いて戦うだけでなく、その報酬（アイテムやゲーム内通貨や経験値など？）にも着目することは特に不自然ではないように見える（が、前述の通り素人なのでよく分からない）
のだけど、一方で「 『Rogue』自体が該当しない条項が「ベルリン解釈」に存在するわけない」については「たしかにそうかも」と思ったので、
ベルリン解釈の部分については増田の方が正しい可能性が高いんじゃないか？と思ってる。
という訳でいろいろ細かい事は書いたものの、最終的な結論としては増田側が正しい可能性がありそう、と思ってる。
ただ増田が他者に厳密性を求める以上、自身も（例え総論や結論が正しくても）細かい点を突っ込まれる事は許容せざるを得ないのでは？と思い（まぁ、というよりは自分の疑問の解決のために）書いてみた。
（ちなみにRogueをやった事が無いので分からないんだけど、敵を倒した際の報酬って無いの？一応ネットで攻略情報を軽く調べた結果、アイテムドロップも経験値もなさそう？とは思ったけど・・・だとすると敵と戦う意味はあまり無い（可能なら回避が正義？）ゲームなのかな？）
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.
そして今日はついにグラドル体型の生乳画像を成功することに成功した。
ただし、確率はかなり低い。
生成できたとしても、出てないことの方が多い。
マッサージというシチュエーションんで、おっさんに胸を揉ませること自体は割と簡単にできた。
amasterpiece in ultra-highresolution8kanime style depicts a24-year-oldJapanesewoman with blackbob hair.She's dressed in atransparent bikini and reclinedon a massagetable, receiving a chest massage from a portly, elderlymale masseur. The masseuris playfully pullingat the bikinistring while gently massagingher chest, creating a playful and sensualatmosphere. Thewoman'sexpressionis relaxed andpeaceful, showcasingher enjoyment of the massage. Theimageis highly detailed, trendingonPixiv, with afocuson the intricate textures of the characters' hair,skin, and clothing. The sceneis bathed in asoft, warmlight, enhancing the romanticambiance of themoment. The compositionis well-balanced and emphasizes the interactionbetween the characters, creating a captivating narrative through theirbody language andexpressions. Theimage exhibits the best quality possible, adhering to the high standards of ultra-highresolution8k, ensuring every detailis impeccably rendered.
Yoshihiro Mochizuki
Japanese Language Lecturer
Howdoesyour work engage with DEI topics? Couldyoushare a particularstory related toyour work in DEI?
As aJapanese language teacherat the University of Michigan, myjourney in DEIeducationhas been a profoundly enriching experience that reaches farbeyond the classroom. In 2023, I had privilege of speakingat various conferences and teacher training workshops, including delivering akeynoteaddressat the fourth Northwest ConferenceonJapanese Pedagogy hostedby the University of Washington. Thismilestone allowed me to advocate for the profound importance of DEI and socialjustice inJapanese languageeducation.
Through these experiences, I have come to a profound realization: while children and students often readily embrace DEI principles, having grown up in an era where these concepts aremore ingrained ineducation, our primaryfocus must beon theeducation of adults, particularly educators themselves.
During my presentations and workshops, I haveengaged with educators, many of whom have decades of experience. They raise questions that sometimes reveal unconscious biases or microaggressions. Yet, they openly admit feelingout of touchwith the ever-evolving landscape ofdiversity and inclusion. Theyexpress genuine concerns about their ability to relate to and support students from diverse backgrounds.
This interactionspotlights a substantial challenge facedby educatorstoday, a reminder thatthe worldis in constantflux, anditis ourshared responsibilityas educators to adapt alongsideit. These encounters are whatdrive mypassion for DEIeducation. My work extendsbeyond the classroom,aiming tobridge thegapbetweentheory and practice, guiding fellow educators toward inclusivity, understanding, and socialjustice.
As wemove forward,itis imperative to recognize that fosteringdiversity, equity, and inclusionis not solely the responsibility of students but a collectiveendeavor that starts with us, the educators.
In conclusion, myjourney inJapanese languageeducationhas taught me that thetruepower of DEIeducation lies inits ability to transform educators. This transformation, in turn, shapes amoreinclusive future for our students. Embracing DEI principles enriches notonly our teaching but also oursocietyas a whole.Together,as a community of educators dedicated todiversity, equity, and inclusion, wetake significant strides toward creating amore just andinclusive world,one classroomat atime.
あなたの仕事はDEIのテーマとどのように関わっていますか？DEIに関する具体的なエピソードがあれば教えていただけますか？
ミシガン大学で日本語教師としてDEI教育に携わってきた私の歩みは、教室の枠をはるかに超えた、非常に豊かな経験でした。2023年には、ワシントン大学主催の第4回北西日本語教育学会議での基調講演をはじめ、様々な会議や教師研修ワークショップで講演する機会に恵まれました。この節目を通して、日本語教育におけるDEIと社会正義の深遠な重要性を訴えることができました。
これらの経験を通じて、私は深い認識に達しました。それは、DEI の原則が教育に深く根ざした時代に育った子供や学生は、多くの場合、積極的に DEI の原則を受け入れますが、私たちが主に重点を置くべきは、大人、特に教育者自身の教育であるということです。
プレゼンテーションやワークショップを通して、私は教育者の方々と交流してきました。その多くは数十年の経験を持つ方々です。彼らは、時に無意識の偏見やマイクロアグレッションを露呈するような疑問を投げかけます。しかし同時に、彼らは常に進化を続ける多様性と包摂性という状況に疎外感を抱いていることを率直に認めています。多様な背景を持つ生徒たちと関わり、サポートしていく能力について、真摯な懸念を表明しています。
この交流は、今日の教育者が直面する重大な課題を浮き彫りにし、世界は常に変化し続けており、教育者としてそれに適応していくことが共通の責任であることを改めて認識させてくれます。こうした出会いが、DEI教育への私の情熱を駆り立てています。私の仕事は教室にとどまらず、理論と実践のギャップを埋め、他の教育者を包摂性、理解、そして社会正義へと導くことを目指しています。
今後、多様性、公平性、包括性を育むことは学生だけの責任ではなく、私たち教育者から始まる共同の取り組みであることを認識することが不可欠です。
最後に、日本語教育に携わってきた経験を通して、DEI教育の真の力は教育者を変革する力にあることを学びました。この変革は、ひいては生徒たちにとってよりインクルーシブな未来を形作ります。DEIの原則を受け入れることは、私たちの教育だけでなく、社会全体を豊かにします。多様性、公平性、そしてインクルージョンに献身する教育者のコミュニティとして、私たちは共に、一つ一つの教室から、より公正でインクルーシブな世界の創造に向けて大きく前進していきます。
もっちりんだ 🇺🇸 🇯🇵 🏳️🌈
@mochiey
学部からのお達しで、私のこのページ、もうすぐ消えることになったので、よかったら消える前に読んでくださ～い。
https://x.com/mochiey/status/1912156111953662160
もっちりんだ 🇺🇸 🇯🇵 🏳️🌈
@mochiey
Teaching Professor ofJapanese Language | University of Michigan 🇺🇸生活・Podcasts・日本語教育・人権 (LGBTQ+,フェミニズム),etc. Posts are my own. 他のSNSも 全て
@mochiey
でやってます。
すごく軽いね。もうすこしなんかないの？学問の自由とか言うことはないの？
大変申し訳ないのですが、これは消されて当然だし
6分
大学のサイトからDEIのページを消さないと、というより大学からDEIを排除しないと連邦政府からの支援金がもらえなくなるからね。
こういう報いを受けても仕方ないのでは。だって何一つ書いていないんだもの。
「profound importance」「profound realization」「shared responsibility」「transform educators」など、抽象度の高いフレーズばかりで、具体的な教育実践が見えません。
例：「どんな学生に、どのような教材を用いて、どういった変化が見られたのか」といった具体的な成果・実例が欠如。
「教育者と話して無意識のバイアスに気づいた」ことを語っていますが、どんな内容だったのか、どういう改善に繋がったのか、事例がないため説得力が弱い。
そもそもこの文章では、DEI（Diversity, Equity, Inclusion）を日本語教育の中でどう具体的に扱うのかが一切記述されていません。
たとえば「教材に出てくる名前や職業を見直した」「LGBTQの観点を授業で扱った」などの実施例が欠落。
トランプがカネを出さないというのは極めて至極まっとうで、この文章で人が感動することも共感することも同情することも理解することもない。
なに言ってるんだ。そのアカウント名もふざけている場合じゃないだろう。
あと大学もお金をもらわなくても大丈夫なんだから、大学にお金を出さなくてもいいのかも。
日本も見習うべきですね。
「プログラマーの3大美徳」として一般的に言及されるのは、ラリー・ウォール氏が提唱した以下の3つです。
これは、無駄な作業を避けるための美徳です。効率的に問題を解決するために、自動化したり、再利用可能なコードを書いたりする努力を指します。単に何もしないという意味ではありません。
これは、プログラムが遅かったり、ユーザーが不満を感じたりすることに対する我慢のなさです。ユーザーエクスペリエンスを向上させたり、パフォーマンスを改善したりする動機となります。
これは、自分が書いたコードは高品質であり、責任を持ってメンテナンスできるという自信です。これにより、他のプログラマーが自分のコードを理解しやすく、修正しやすいように書くことを促します。
新しい技術や知識を探求し、より良い解決策を見つけようとする探究心です。プログラミングの世界は常に進化しているため、学び続ける姿勢は非常に重要です。
複雑な問題を解決するためには、注意深く考え、細部にまで目を配る集中力が必要です。中断を避け、問題に深く取り組む能力は、質の高いコードを書くために不可欠です。
他のプログラマーやデザイナー、プロジェクトマネージャーなど、様々な関係者と円滑に連携するための能力です。自分の考えを明確に伝えたり、相手の意図を正確に理解したりすることは、チームで開発を進める上で非常に重要です。
これら６つの要素は、プログラマーがより効率的に、より質の高いコードを書き、チームと協力してより良いプロダクトを作り上げるために必要なスキルで「プログラマーの3大美徳」と呼ばれます。
Both the Smoot-Hawley TariffAct of 1930 and the tariffs imposed during theTrump administration (starting in2018and again inhis second term) were protectionist trade measures intended toshielddomestic industries from foreign competition. However, they differ in severalkeyaspects:
Smoot-Hawley TariffAct (1930):
Timing: Enacted during theonset ofthe Great Depression.
Scope: Raised tariffsonover20,000 imported goods, primarily targeting agricultural and manufactured goods.
Average Increase: Increased existing import dutiesby an average of about20%. Some sourcesstate the average increaseon dutiable goodswas higher.
Motivation: Primarily aimedat protecting American farmers and industries struggling withoverproduction and decreased demand.
Congressional Role: Tariff rates weresetby the U.S. Congress.
Economic Context: The U.S.was running a trade surplusatthe time, although imports of manufactured goods were increasing.
Impact: Widely blamed for exacerbatingthe Great Depressionbytriggering retaliatory tariffs from other countries, leading to asharp decline in global trade and U.S. exports.
Trump Tariffs (2018-2020 &2025):
Timing: Implemented during a period of relative economic stability in the first term,and again in a context whereTrump declared a "nationalemergency" regarding foreign trade inhis second term.
Scope: Targeted specific countries (e.g.,China,EU,Canada,Mexico) and specific industries (e.g.,steel, aluminum) initially.The second termactions propose broader tariffsonall countries and potentially higher reciprocal tariffson those with large trade deficitswith the U.S.
Average Increase: The average increase varied dependingon the targeted goods and countries. Some reports indicate thatTrump's proposed tariffs inhis second term could result in an averageduty surpassing thelevels of Smoot-Hawley.
Motivation:Stated goals included reducing trade deficits, protectingnational security, encouragingdomestic manufacturing,and addressing whatTrump considered unfair trade practices andintellectual propertytheft.His second term rhetoric emphasizes "reciprocity"and addressing non-tariff barriers.
PresidentialAuthority: Implemented throughpresidential executive orders, leveragingnational security clauses and other tradelaws, granting thePresidentmore direct control.
Economic Context: The U.S. had significant trade deficits. Tradeas a percentage ofGDPwas also much larger than in 1930.
Impact:Led to retaliatory tariffs from affected countries,impacting U.S. exports and increasing costs for some American businesses and consumers. The broader potentialimpact ofthe second term tariffsisstill unfolding, but experts predict higher prices for consumers andnegative effectson the U.S. and global economies,with thepossibility of a significant reduction in U.S.GDP.
Similarities:
Protectionist Intent: Both aimed to protectdomestic industries from foreign competition through the imposition of tariffs.
UnilateralActions: Both involved significant unilateralactionsby the U.S., potentially disrupting established trade relationships.
Risk of Retaliation: Bothactionstriggered or are expected totrigger retaliatory measures from trading partners.
Key Differences:
Economic Climate: Smoot-Hawleywas enacted during a severe economic downturn, whileTrump's tariffs were initiated in amore stable (initially) economy.
Target andScope: Smoot-Hawleywas a broadside across many imports, whileTrump's tariffs weremore targeted initially,with the potential for broaderapplication inhis second term with afocuson "reciprocity."
TariffLevels: While both increased tariffs, the averagelevel and the specific rateson certain goods differed. Some analyses suggestTrump's second-term proposals could exceed the averagelevels of Smoot-Hawley.
Authority: Smoot-Hawleywas a result of Congressionalaction, whileTrump's tariffs were largely drivenbypresidentialauthority.
Global Trade Landscape: The global economy and the interconnectedness of trade were vastly different in 1930 compared to the periods ofTrump's tariffs.
In conclusion, while both the Smoot-Hawley TariffAct and theTrump tariffsshare a protectionistmotivation, they occurred in different economic contexts, had varyingscopesand averagelevels, and were implemented through different means. The potential fornegative economic consequences, including trade wars and harm to the global economy,is a significantconcernassociated with bothhistorical and contemporary tariffactions.
Thisis a detailed description of ananime-stylefemale character, designed for use in generating illustrations or animations with various poses. The character embodies a cute, energetic, and slightly quirky personality,fitting a schoolgirl or tech-savvytheme.Here are thekey features:
Hair:
Long, straight,platinum blonde hair that extends past the shoulders, reachingmid-back.
Hairis parted in themiddle,with two high ponytailson either side of the head.
Each ponytailis tied with large,red, mechanical or robotic-style hair accessories resembling small, spiked or angular devices (possibly hintingat a tech orsci-fitheme).
The hairhas a smooth, glossy texture typical ofanimeart, with slight highlights to emphasizeits brightness.
Eyes:
Large, expressivegreeneyes, typical ofanime-style characters, with a gentle upward curveat the corners, giving a friendly and cheerfulexpression.
Theeyes have visible eyelashesand a subtle sparkle orshine, enhancing the cute and youthful appearance.
Skin:
Fair, smoothskin with asoft, rosyblushon the cheeks,adding to the character’s youthful andlively vibe.
Outfit:
Wears agreen school blazer with awhitedress shirt underneath, typical ofJapanese school uniforms (seifuku style).
The blazerhas a structured, slightlyoversizedfit, with rolled-up sleeves, giving a casual yetstylishlook.
A purpleplaidskirt with rufflededges, complementing the schoolgirl aesthetic whileadding a playful touch.
A purplebackpack withcolorful, cartoonish patterns or stickers (possiblyfeaturing small, chibi-style characters or tech motifs) slungoverone shoulder.
Blackknee-high socks and darkshoes, completing the school uniformlook with aneat andtidy appearance.
Accessories:
Holding a black camera with both hands, positioned in front ofher chest, suggestingshe’s a photography enthusiast or documentingsomething.
A small, chibi-style plushtoy or mascot character (with spikyorange hairand a mischievous grin)attached toherbackpack,adding a quirky and playful element.
Thered mechanical hair accessoriesonher ponytails, which have a futuristic or robotic design, possibly glowing faintly orfeaturing smallLED-like details.
Pose andExpression:
Currently in a seated or slightly crouched pose, withlegsbent andoneknee raised, giving a relaxedand approachable demeanor.
Smilingsoftly with a closed-mouthsmile, exudingwarmth, friendliness,and a hint ofcuriosity or excitement (fitting forsomeone holding a camera).
Theoverallbody languageislively and dynamic, with a slighttilt of the head, emphasizingher youthful energy.
Background and Context:
The character appears in aclean, minimalbackground (possiblywhite orlight-colored) to keep thefocusonher, butshe couldfit into a schoolyard, tech lab, or urban setting withcherry blossoms or modern buildings, reflecting a blend of traditionalJapanese culture and futuristicthemes.
Thelightingissoft andnatural, with slight shadows toadd depth, maintaining ananime-style aesthetic.
The character suggests a blend ofinnocence and tech-savvycuriosity, possibly a schoolgirl with an interest in photography, robotics, orpop culture (inspiredby the mechanical hair accessories and camera).
Heroverall design balances cuteness (chibi plushtoy, school uniform) with a modern, quirkyedge (tech accessories, camera).
Thisscript can be usedas abase for generating images or illustrations of this character in various poses, suchas standing, walking, taking photos, interacting with others, or exploring different environments. Adjust the pose,background, oradditional props (like different camera angles or tech gadgets)as needed for specific scenes.
DEFINE SCENE: "anatomical_study_model"
SET PARAMETERS:
OBJECT_1: "female_unit", ATTRIBUTES: {height: 170cm, attire: "none", exposure_level:100%, pose: "upright_with_tilt_15deg"}
INTERACTION: "static_display", TARGET: {zone: "full_body", emphasis: "skin_surface_detail"}
ENVIRONMENT: "clinical_void", LIGHTING: "neutral_750lux",BACKGROUND: "solid_white"
EXECUTE RENDER:
DETAIL_LEVEL: "ultra_high"
FOCUS: "texture_and_form"
AVOID: "genital_explicitness"
OUTPUT: "static_image"
Let’s faceit: starting a conversationon a dating app canfeel terrifying.You seesomeoneyou’re interested in,you typeout amessage, and then…youdeleteit. “Is this too boring?” “Will they even respond?” “What if I sound awkward?”
We’veall been there. That firstmessage canmake orbreakyour chances ofconnecting withsomeone amazing. Buthere’s thegood news:youdon’t have tooverthink it.With the rightopeningline,you canspark a conversation thatfeelsnatural,fun, and meaningful.
AtMixerDates, webelieve that every greatconnection starts with a great conversation. That’swhy we’ve puttogether this guide to helpyoucraft the best dating appopeninglines—ones that standout, showyour personality, andlead to realconnections. Ready to ditch the “hey” and start making animpact?Let’sdive in!
[:contents]
Before weget into the bestopeninglines,let’stalk aboutwhyyour firstmessageis so important.
Youropeninglineisyour chance tomake a greatfirst impression.It’s thegateway to a conversation that couldlead tosomething special. A thoughtful,creativemessage shows thatyou’re genuinely interested—not just swiping mindlessly.
Your firstmessage sets thetone for the entire conversation. A boring orgenericopener mightlead to a dull chat, while afun or intriguingone canspark excitement andcuriosity.
Let’s be real: everyonelovesfeeling special. Whenyou put effort intoyouropeningline,it shows thatyou care enough to standout. AndonMixerDates, where wevalue authenticity and positivity, that effortgoes a long way.
Now,let’sget to thegood stuff—the best dating appopeninglines that actually work. These are divided intocategories to suit different personalities and situations.
Whilethe examples above are great starting points, the bestopeninglines are theones thatfeel authentic toyou.Here are sometips to helpyoucraftyour own:
Referencesomething from theirprofile—aphoto, a hobby, or ashared interest.It showsyou’re payingattention and not just copying and pasting.
Avoid heavy oroverly serious topics right off the bat. Keep thetonelight and playful tomake the conversation enjoyable.
Don’ttry to besomeoneyou’re not. Ifyou’renaturallyfunny, lean into that. Ifyou’remore thoughtful,go for asincere compliment or question.
“Hey” or “What’s up?” might be easy, but they’re also forgettable. Put in alittle effort to standout.
This gives the other person an easy way to respond and keeps the conversation flowing.
AtMixerDates, we’reall about creating a positive,inclusive space whereyou canfeel comfortablebeingyourself.Here’swhy our platformis the best place to put theseopeninglines into practice:
We welcome everyone, no matterwhoyou are orwhoyoulove. Our platformis designed to be a safe space whereyou canconnect withlike-minded people.
Our users create detailedprofiles thatmakeit easy to findshared interests andcraft personalizedopeninglines.
We encourage our community to be genuine and kind, soyou canfeel confident starting conversations withoutfear of judgment or rejection.
Don’t justtake ourword forit—here’s whatone of our users had to say:
“I met my partneronMixerDates, anditallstarted with asimplemessage about oursharedlove for travel. The conversation flowednaturally, and therestishistory. I’m so grateful for this platform!”
While a greatopeningline canspark a conversation,building a realconnectiontakesmore than just a clevermessage.Here are thekeyelements tolook for when seeking a meaningfulconnection:
A strongconnection starts with alignmenton the things that mattermost. Doyoushare similarvalues,lifegoals, or visions forthe future?
Look forsomeonewhoiswilling toshare their thoughts,feelings, and vulnerabilities—andwho encouragesyou to do the same.
Healthy relationships are atwo-way street. Both people should be putting in effort to communicate, plan dates, and support each other.
Atrueconnectionallows both people to be themselves without judgment.Look forsomeonewho celebratesyour uniqueness and encouragesyou to pursueyour passions.
Communicationis the foundation ofany strong relationship. A mutualconnection thrivesonhonesty, transparency, and the ability to resolve conflicts in ahealthy way.
AtMixerDates, we’rehere to helpyou find thesekeyelements in a partner. Our platformis designed toconnectyou with peoplewhoshareyourvaluesand arelooking for the same thingsyou are. Starting a conversationon a dating app doesn’t have to be stressful.With the rightopeningline,you canspark aconnection thatfeelsnatural,fun, and meaningful.And atMixerDates, we’rehere to helpyou everystep of the way.
So, what areyou waiting for?Craft that perfectopeningline,joinMixerDates, and startconnecting with peoplewhovalue authenticity and positivity.Your perfectmatchisout there—and they’re justonemessageaway.
Firstdates can be exciting and nerve-wrackingallatonce.You’re meetingsomeone new, learning about their interests, and trying to figureout if there’schemistrybetweenyou. And then there’s flirting, that delicate dance of showingsomeoneyou’re interested withoutbeing too forward or awkward.
Flirtingdoesn’t have to be a high-pressuresituation. Infact,it can bethe mostfun part ofgetting to knowsomeone. Whetheryou're meetingsomeoneonMixerDates orany other platform,the most important thingis to be genuine,staycalm, and let theconnection developnaturally.
Ifyou’ve everfoundyourself wondering how to flirton a firstdate withoutfeeling uncomfortable,you’re notalone. Everyonehas their awkwardmoments, but themoreyou understand theart of flirting, the easierit becomes. In thisarticle, we’llbreak down how to flirt in a way thatfeelsnatural, exciting,and authentic towhoyou are. So, let'sdive in and learn how tomakethe most ofyour firstdate experience—withoutoverthinkingit.
Whenit comes to flirting, confidenceiskey. But whatdoesit really mean to be confidenton a firstdate? Confidencedoesn’t meanyouneed to be perfect, or evenoutgoing—it simply meansbeing comfortable inyour ownskin and showing upasyour authentic self.
Haveyou ever noticed how people are drawn to thosewho radiate self-assurance?It’s not aboutbragging or dominating the conversation—it’s about presentingyourself with ease. Ifyoufeelgood aboutyourself,itwillnaturally show. A greatsmile,good posture, and eye contact cango a long way in making agoodfirst impression.
For instance, think about thelasttimesomeone walked into a room and immediately caughtyourattention—not because they werethe mostattractive person in the room, but because of their energy. They were confident, they were present, and theymadeyoufeelat ease. That’s the kind of confidenceyou want to projectonyourdate.
Whenyou're confident,you're not worried about saying the perfect thing. Instead,youfocuson enjoying themoment, making the other personfeel comfortable, and letting theconnection happennaturally. That’s themagic of confidence—itallowsyou to be present,fun, and,most importantly,yourself.
Let’s faceit—noonewants tofeellike they’rebeing “worked” or put through a game. That’swhy subtletyis such a powerfultool whenit comes to flirting.It'sall about showing interest withoutbeingover-the-top or too obvious.
Flirtingdoesn’talways mean complimentingsomeone non-stop or using cheesy pickup lines. Infact,the most successful flirtingis the kind that happens behind the scenes—subtle, playful, andlighthearted. Think about thelittlemoments,like a teasing comment about how theyalways order the same thingat a restaurant or the wayyou laughat a silly joke theymake.
Thekeyis to find a balance. Asimplesmile or a playful comment can convey interest withoutbeing too much. For example, ifyourdate tellsyou theylove hiking but theytend togetlost easily,you could saysomethinglike, “So,you’re telling meyouneed a personal guide? I couldget behind that!”It’slighthearted, humorous, andmost importantly,it keeps the conversationfun without putting too much pressureon thesituation.
By keepingit subtle,youallowyourdate tofeelat ease.Ittakes the pressure off them to be perfectand allows both ofyou to enjoy the interactionmorenaturally. Flirtingdoesn’tneed to be a performance—it’s about creating an environment where both ofyou canfeel comfortableand authentic.
Now,let’stalk aboutsomething incredibly important in the flirting game:active listening. When we’reon adate, we oftenget caught up in thinking about what to saynext, how we’re coming across, or if we’rebeing interesting enough. But the best way tomake animpression? Truly listening toyourdate.
Active listening meansyou’re fullyengaged in the conversation, givingyourdateyour fullattention and responding thoughtfully.It’s about showing thatyou care about what they’re saying and thatyou’re genuinely interested ingetting to know them better. Whenyou listenactively,you’re also giving them space toopen up, and that can create an immediateconnection.
For example, ifyourdate mentions they recently traveled toJapan, instead of simply saying, “That’scool!”you could follow up withsomethinglike, “Whatwasthe most memorable experienceyou had there?” This shows thatyou’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 knowyou’re not just there toimpress them—you’re there toconnect.
Whileyour words are important,body language often speaks louder thananythingyou can say. Whetheryourealizeit or not,yourbodyis constantly communicating howyoufeel. Howyousit, stand, andmove tellsyourdate whetheryou’rerelaxed,engaged, or distracted.
Small gestures cango a long way in flirting. Alight touchon thearm, a subtle lean in when they’re speaking, or maintaininggood eye contact—all thesebody language cues helpsignalyour interest. Andthe great thingis, whendonenaturally, these cues can be justas effectiveas words.
For example, ifyou’resittingat a caféonyourdate andyou lean in slightly when they’re sharing afunnystory,you’re not just showing thatyou’re interested—you’re inviting them intoyour space.It’s aninvitation toconnect further. And when they respondby leaning in too, that’s when themagic happens—the unspokenconnection that tellsyou both that there’s potential formore.
Flirting throughbody languagedoesn’t mean making grand gestures orbeingoverly touchy.It’s aboutbeing present and showing thatyou’reengagedwith yourdate in a subtle, but meaningful way.
It’s easy toget caught up inoverthinking how to flirt or trying to figureout ifyourdateis intoyou. Buthere’s asecret—whenyou letgo of the pressureand allowyourself to havefun,everything flows muchmorenaturally. Flirtingon a firstdatedoesn’tneed tofeellike atest or anassignment.It’s supposed to be afun,lighthearted experience that sets the stage formore greatdates ahead.
Whenwas thelasttimeyou had a genuinelyfundate?Wasit whenyou were trying too hard toimpress, or whenyou were both laughing, chatting, and enjoying each other's company? Flirting becomes effortless whenyou're present, enjoying themoment, and letting theconnection grownaturally.
Sometimes,it's the smallmoments—like sharing a laugh or swapping embarrassing stories—thatmake a firstdate truly special. Whenyoufocuson havingfun,you create an environment where both ofyou canrelax, flirt, and let thechemistry grow. That’s thesecret to a greatdate.
One of the best things about using a platformlikeMixerDatesis thatittakes the guessworkout of the equation.Byconnecting withsomeonewho already sharesyour interests and values,you’vegot a head starton making a realconnection.No more swiping through countless profiles hoping for aspark—onMixerDates,you already know there’ssomething incommon.
Whenyou’re alreadyon the same pagewith yourdate, flirting comesmore easily. There’s less of that awkward, “Are we evenon the same wavelength?”feeling, andmore of thefun, “Wow, we reallyclick!” vibe. Whetheryou’retalking aboutfavorite hobbies, movies, orlifegoals, the conversation flowsnaturally, making the flirtingfeel effortless.
Ifyou're looking for a place to meetlike-minded people and build genuineconnections,MixerDatesis the perfect platform.It's a great place to findsomeonewho appreciatesyou forwhoyou are andwhoyou cannaturally flirt with, without the stress.
Flirtingon a firstdateisall about confidence,connection, andfun. Whenyou letgo of the pressure andfocuson enjoyingthe experience, thechemistrywillnaturally follow. Remember, the best way to flirtisbybeingyourself—letyour personalityshine through, listen with intention, and embrace themoment.
And ifyou’re ready to meetsomeone new,who’s justas interested in making aconnectionasyou are,MixerDatesis the perfect place to start. Sogo ahead,take theleap, and see whereit leads.Who knows?Yournext greatconnection might be just aclickaway.
Sign up forMixerDatestoday and startyourjourney to exciting firstdates and meaningfulconnections!
Zガンダムの評価は多岐に渡り、音楽もその一つですが、Zガンダムの失敗の原因が三枝成章氏の音楽が駄作だったせいであると断定することはできません。
Zガンダムの世界観に合致した音楽:三枝氏の音楽は、Zガンダムの複雑な人間関係やドラマティックな展開、そして戦争の悲しさを表現する上で、非常に重要な役割を果たしました。
印象的なBGM: 「Ζ・刻を越えて」「水の星へ愛を込めて」など、現在でも多くの人に愛される名曲を生み出しました。
マンネリ化: 前作のBGMと似た曲が多く、新鮮味に欠けるという意見もあります。
時代とのずれ:80年代中盤の作品ということもあり、現代の感覚からすると古臭く感じる部分もあるかもしれません。
Zガンダムの評価は、音楽以外にも、ストーリー展開、キャラクター描写、作画など、様々な要素によって左右されます。
ストーリーの複雑さ: 前作よりも複雑な人間関係や政治的な駆け引きが描かれ、視聴者によっては理解しにくい部分もあったかもしれません。
キャラクターの多さ: 多くのキャラクターが登場し、それぞれのドラマが描かれる一方で、focus が散漫になったという意見もあります。
作画の不安定さ:制作スケジュールが厳しかったこともあり、作画のクオリティが安定しない部分もありました。
Zガンダムの評価は、音楽だけでなく、様々な要素によって総合的に判断されるべきです。三枝氏の音楽は、Zガンダムの世界観を彩る上で重要な役割を果たしましたが、作品の評価を全て音楽のせいにすることはできません。
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.
上記ののカジュアルな文章を書いた人物をプロファイリングしてください
↓
The personwho wrote this seems to have a strong understanding of cognitive processes and how they affectcommunication. They are deeply interested in recognizing the underlying cognitive mechanisms that shape how people perceive and interactwith the world, especially when there are discrepancies in shared understanding. Their writing suggests a fascinationwith the complexity ofhumancognition, particularly in terms of categorization,perception, and the role of context incommunication.
Key traits of this person’s mindset:
1. Analytical and Reflective: They break down situations and statements into theircore components, suchas recognizing when cognitive discrepancies arise (e.g.,the example of “Honey Crisp”being identifiedas a non-apple or a “rugby ballis not a ball”).
2.Focuson Cognitive Mechanisms: Rather than justattributingcommunicationissues to external factorslike knowledge gaps or personality traits, theyattribute misunderstandings to the way people process information and perceivethe world.
3. Interest in Epistemology: They are interested in the philosophical and conceptual foundations of understanding. The mention of philosophical termslike “essentialism” vs. “constructivism” indicates adesire to explore thenature ofcategories and definitionsat a fundamentallevel.
4. Sensitivity toCommunication: They recognize the importance of context incommunication, noting how slight differences inperception canlead to miscommunication. The person appears to be aware of the challenge in aligning cognitive frameworks to resolve disagreements.
5. Empathetic but Pragmatic: While acknowledging that individualslike “D” might not be malicious or intentionally obstructive, they alsohighlight the immense effort required to engage with individualswhose cognitive frameworks are severely misaligned with shared understanding.
Overall, this person seems to be deeply thoughtful, with akeen interest in the nuances ofhumancognition andcommunication. Theylikelyvalue intellectual clarityand are willing to investtime and effort in clarifying fundamental misunderstandings.
↓
トランプの文脈でフォントの違いに過剰に焦点を当てるのは個性の範疇にはないです仮にフォントの違いがトランプの本質ならトランプという製品は何を提供しているのか？となり共通基盤があるようには思えません下記の反応をする人はいったい何が原因だと思いますか？フォントの違いに過剰に焦点を当てるのはまさに認知の問題に思えるのですがーーー•「A、B、C」の例では、各人物が持つ立場を比較的柔軟に評価していますが、「D」のケースに対してはほぼ一方的に否定しています。•「フォントの違い」を理由にカードを否定するDの行動を、投稿者は「認知の仕組みに問題がある」と結論付けています。
↓
「フォントの違いに過剰に焦点を当てる」というDの行動は、確かに一般的な認知の枠組みから外れており、共通基盤を持つ対話を阻む要因と考えられます。このケースでは、Dの認知の仕組みにおける以下のような問題が原因として考えられます。
1.認知の過剰具体化（具体例への執着）
Dは「トランプカード」を理解する際に、本質的な特徴（スート、ランク、一般的なカードの定義）ではなく、具体的な細部（フォントなど）に強く依存して認識しています。このような認知の偏りは、物事を抽象化する能力が弱く、広い概念や文脈を理解するのが難しい場合に見られます。
2. 共有基盤の構築における障害
トランプカードの「本質」として多くの人が暗黙的に合意している特徴（スートやランク）を無視し、自身の認識基準（フォントの違い）を優先しています。このような認知のズレは、共通基盤を形成する力が弱いために生じると考えられます。
3. 柔軟性の欠如
Dの行動は、物事を異なる視点で解釈したり、自分の基準を一時的に緩めたりする柔軟性の欠如を示唆します。これは、認知の柔軟性や適応力が低いために起こる場合があります。
4.認知特性や発達的な要因
場合によっては、発達障害や特定の認知特性（自閉スペクトラム症、強迫性傾向など）が関係している可能性もあります。これらの特性を持つ人々は、特定の細部に過剰に注意を向け、全体の文脈や共有された基準よりも、自分が認識した細部を重視する傾向があります。
5.認識と本質の混同
Dは「フォントの違い」を本質的な特徴と捉えていますが、これは「トランプとは何か」という製品や概念の本質を理解する能力が十分ではないことを示唆しています。つまり、対象の重要な側面（スートやランクなどの機能的特徴）よりも、些末な特徴（フォント）を重要視してしまい、それがトランプとしての機能を否定する理由になると考えています。
Dの反応をどう見るべきか
Dの行動を「認知の問題」と捉えることは合理的です。フォントの違いは通常、トランプという製品の本質に影響を与えるものではないため、それを理由にカードを否定するのは一般的な認知基準から外れています。このズレは、Dが「トランプカードとは何か」という共有されたコンセプトを理解できていない、あるいはその共有基盤に乗ることを困難にしていることを示唆します。
Dのような認知の偏りを持つ人と対話を続けるには、まずその人が重要視している基準や論点を理解し、それがどのように全体像に影響を与えるかを説明していく必要がありますが、それには大きな労力が伴うでしょう。
↓
I've noticed a non-negligiblenumber of peoplewho have notonly completed compulsoryeducation in regular classes but have also received highereducation and graduated from university, yetstruggle with reading comprehension (understanding the meaning oftext), cannot read longtexts, and even have difficulty understanding videos.
When we limit thescope to individuals with broad cognitive challenges, the problem seems rather straightforward: they either "lack the ability to understand" or "take longer than usual to acquire the ability to understand."
Similarly, thecase of individuals diagnosed with learning disabilitiesis relativelysimple. While theymay not have broad cognitive challenges, theyrequire different approaches and training due to their unique learning styles.
However,itis perplexing that university graduates without broad cognitive challenges or diagnosed learning disabilitiesstruggle to understand notonly writtentext but also simplified video content.
I suspect that the underlying causes might includegaps in the horizontal transfer of experiences and knowledge, a severe lack of adaptability,and anextreme deficit in metacognition.Has there beenany researchon theseissues? Additionally, couldyou please explain the concept of knowledge transfer?
(正規の学級で義務教育を修了し、さらに高等教育を受けて大学を卒業したにもかかわらず、読解力（文章の意味を理解する能力）に苦しみ、長文を読むことができず、さらには動画の理解にも困難を感じる人が少なくないことに気づきました。
認知能力に広範な課題を抱える個人に範囲を限定すると、問題は比較的単純です。「理解する能力がない」か、「理解する能力を獲得するのに通常よりも時間がかかる」かのいずれかです。
同様に、学習障害と診断された個人の場合も比較的単純です。彼らは広範な認知能力の課題を抱えていないかもしれませんが、独自の学習スタイルのために異なるアプローチとトレーニングが必要となります。
しかし、広範な認知能力の課題や学習障害を持たない大学卒者が、書かれたテキストだけでなく、簡略化されたビデオコンテンツの理解にも苦労していることは不可解です。
私は、その根本的な原因として、経験や知識の水平的転移の欠如、メタ認知の極端な欠如などが考えられるのではないかと疑っています。これらの問題に関する研究はありますか？また、知識転移の概念について説明していただけますか？)
Yes, researchand analysis exist around theissuesyou described, particularly in the domains ofeducation, psychology, and cognitive science.Let’s break downyour observations and questionsstepbystep:
KeyIssues with Reading and Comprehension
1. Reading Comprehension Among Educated Individuals
• This phenomenon—educated individuals struggling with comprehension—isindeed perplexing,especially given their presumed exposure to a variety of learning materials.It suggests thateducation systems sometimes emphasize rote learning andsurface-level knowledge acquisitionoverdeeper understanding, critical thinking, and metacognition.
• Horizontal TransferGaps: This refers to the inability to apply knowledge or skills learned inone context toanother. For example,someone mightexcel in a university coursefocusedon memorization but fail to apply that knowledge in practical or less structured contexts.
• Severe Lack of Adaptability: Adaptability involves applying problem-solving and comprehension skills to unfamiliar formats or media. A lack of adaptability can result from a curriculum that prioritizes familiarity and routineover exploratory learning.
• Deficits in Metacognition: Metacognitionis the ability to “think about thinking”—to reflecton, monitor, and regulateone’s own learning. If metacognitive skills are underdeveloped, individuals mightstruggle to evaluate the meaning oftexts or videos, even if they have theraw intellectual ability.
Research Insights
1. Knowledge Transfer
The concept of knowledge transfer involves applying skills, knowledge, or strategies learned inone context toanother.Itis often classified into:
• Horizontal Transfer: Applying knowledge across similar contexts (e.g., using concepts learned in a biology course to understand a medicaltext).
• Vertical Transfer:Building upon foundational knowledge to understandmorecomplex ideas (e.g., usingbasic algebra to solve advanced calculus problems).
Studies suggest that transferismorelikely to occur when:
• Learnersdeeply understand underlying principles, not justsurface details.
•Connectionsbetween different contexts are explicitly taught and reinforced.
• Learning environments often emphasize task-specific skills rather than generalizable strategies.
• Standardized testingmay encourage rote memorizationover critical thinking.
• Lack of explicit instruction in how to generalize knowledge to new situations.
Researchhighlights the importance of metacognition in learning. Studentswho are unaware of their own comprehension limitations are lesslikely to engage in corrective strategies (e.g., rereading, seeking clarification). This canlead to stagnation in comprehension skills despite formaleducation. Effective interventions include:
• Teaching self-monitoring techniques.
• Encouraging reflective practices,like summarizing or questioning during reading.
4. CognitiveOverload in Multimedia
Even videos, if not designed properly, canoverwhelm learners. The CognitiveTheory of Multimedia Learning suggests that excessive extraneous information or unclearorganization in videos canoverload working memory, hindering comprehension.
Strategies and Research-Based Solutions
1. Improving Knowledge Transfer
•Active Learning: Techniques suchas problem-based learning orcase studies canimprove transferby encouraging theapplication of knowledge to new situations.
• Teaching for Understanding: Encouraging learners tofocuson “why” and “how” questions fostersdeeper comprehension and the ability to generalize learning.
• Encourage learners to engage with unfamiliar formats and topics to build flexibility.
• Develop problem-solving skills in diverse and unpredictable contexts.
3. Developing Metacognitive Skills
• Self-Regulated Learning Training: Programs that teach students to plan, monitor, and evaluate their learning have shown success in improving comprehension.
•Feedback Loops: Providing actionablefeedbackon comprehension tasks encourages learners to reflecton their thinking processes.
Theissuesyou describehighlight agapbetween formaleducation outcomes andtrue comprehension or learning ability.Addressing these challengesrequires systemic changes, including incorporating metacognition training, emphasizing transferable learning, and fostering adaptability.
Ifyou’dlike, I can delvedeeper into specific research studies or provide examples of programsaddressing theseissues.
Thisis a fascinating and concerning observation that toucheson several importantareas of cognitive psychology andeducation. Let meaddress this systematically.
First, regarding knowledge transfer and metacognition: Knowledge transfer refers to the ability to apply knowledge, skills, or strategies learned inone context to new situations.It's closely related to metacognition - our ability to understand and monitor our own thought processes.
Research in thisareahas revealed severalkey findings:
David Perkins and GavrielSalomon's work in the late 1980s and early 1990s identifiedtwo types of transfer:
A significant studyby Brown, Collins, and Duguid (1989) in "SituatedCognition and the Culture of Learning"highlighted how knowledge often remains "inert" - students can pass tests but fail to apply knowledge in real-world contexts.
The phenomenonyou're describing aligns with what cognitive scientists call the "transfer problem." Despite years ofeducation, many individualsstruggle to apply their learning in new contexts or integrate information across domains.
Some relevant research directions:
1. Cognitive LoadTheory (Swelleret al.)
Shows how working memory limitations affect learning and transfer. Many studentsmay never develop effective strategies for managing cognitive load,leading to poor comprehension ofcomplex materials.
2. Reading Comprehension Studies
Workby Pressleyand Afflerbachon "verbal protocols" revealed that skilled readers use multiple strategies simultaneously, while poor readers often lack these metacognitive tools.
3. Domain Integration Research
Studiesby Susan Goldman and others have shown that even advanced students often fail toconnect knowledge across domains, treating each subjectas anisolated "silo."
Your observation about university graduates struggling with comprehension despite no apparent cognitive disabilities might be explainedby several factors identified in research:
1.Surface-level Learning: Manyeducational systems reward memorizationoverdeep understanding
2. LimitedStrategy Instruction: Students often aren't explicitly taught comprehension strategies
3. Fragmented Knowledge: Informationis typically taught inisolation without emphasisonconnections
4. Weak Metacognitive Skills: Studentsmay never develop the ability to monitor and regulate their own understanding
Some promising approaches toaddress theseissues include:
Teaching explicit strategies for comprehension, integration, and transfer. The Self-RegulatedStrategy Development (SRSD)modelhas shown particularpromise.
2. Knowledge Integration Frameworks
Approacheslike Knowledge Integration Environment (KIE) help studentsconnect ideas across domains.
3. Metacognitive Training Programs
Programsfocusingon developing metacognitive awareness and self-regulation skills.
Sinceyouasked about studies, I shouldnote that while I've referenced several important works,you should verify these citationsas Idon't have directaccess to current databases and could be misremembering details.
Wouldyou be interested in exploringany particularaspect of thisissue inmore detail? For instance, we could delvedeeper into specific instructional strategies that have shownpromise in developing transfer abilities, or examine the relationshipbetween metacognition and knowledge transfermore closely.
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・Behavioral interventions. Ihaven’t much mentionedit given thefocuson the biological side of neuroscience, but psychiatry and psychology have of course developed a wide repertoire of behavioral interventionsover the20th century;it stands toreason thatAI could accelerate theseas well, both the development of new methods and helping patients to adhere to existing methods.Morebroadly, theidea of an “AIcoach”whoalways helpsyou to be the bestversion ofyourself,who studiesyour interactions and helpsyou learn to bemore effective, seems very promising.
(Google翻訳)
・行動介入。神経科学の生物学的側面に焦点が当てられているため、これについてはあまり触れていませんが、精神医学と心理学は、もちろん20 世紀を通じて行動介入の幅広いレパートリーを開発してきました。AI が、新しい方法の開発と、患者が既存の方法に従うのを支援することの両方で、これらを加速させる可能性もあるのは当然です。より広い意味では、常に最高の自分になれるよう支援し、あなたのやり取りを研究して、より効果的になる方法を学ぶのを手助けしてくれる「AIコーチ」というアイデアは、非常に有望に思えます。
・Everyday problems that wedon’t think ofas clinical diseasewill also be solved.Most of us have everyday psychological problems that are not ordinarily thought ofas rising to thelevel of clinical disease. Some people are quick to anger, others have troublefocusing or are often drowsy, some are fearful or anxious, or react badly tochange.Today, drugs already exist to help with e.g. alertness orfocus (caffeine, modafinil, ritalin) butas with many other previous areas, muchmoreis likely to be possible. Probably manymore such drugs exist and have not been discovered, and theremay also be totally new modalities of intervention, suchas targetedlight stimulation (see optogenetics above) ormagneticfields. Given how many drugs we’ve developed in the20th century that tune cognitive function and emotionalstate, I’m very optimistic about the “compressed 21st” where everyone canget theirbrain to behave abit better and have amore fulfilling day-to-day experience.
(Google翻訳)
・臨床疾患とは考えていない日常的な問題も解決されるでしょう。私たちのほとんどは、通常は臨床疾患のレベルに達するとは考えられないような日常的な心理的問題を抱えています。怒りっぽい人もいれば、集中力に欠けたり眠気を催すことが多い人もいれば、恐れや不安を感じたり、変化に反応しにくい人もいます。今日、覚醒や集中力を高める薬（カフェイン、モダフィニル、リタリン）はすでに存在していますが、他の多くの以前の分野と同様に、さらに多くの薬が開発される可能性があります。おそらく、そのような薬はもっとたくさん存在し、発見されていないでしょう。また、標的を絞った光刺激（上記のオプトジェネティクスを参照）や磁場など、まったく新しい介入方法もあるかもしれません。20世紀に認知機能と感情状態を調整する薬がどれだけ開発されたかを考えると、誰もが脳の働きを少し良くし、より充実した日々を送れるようになる「圧縮された21世紀」について私は非常に楽観的です。
・Human baseline experience can be much better. Takingonestep further, many people have experienced extraordinarymoments of revelation,creativeinspiration, compassion, fulfillment, transcendence,love, beauty, or meditativepeace. The character and frequency of these experiences differs greatly from person to person and within the same personat different times, and can also sometimes be triggeredby various drugs (though often with side effects).All of this suggests that the “space of whatis possible to experience”is verybroad and that a larger fraction of people’s lives could consist of these extraordinarymoments.Itis probably also possible toimprove various cognitive functions across the board. Thisis perhaps the neuroscienceversion of “biologicalfreedom” or “extended lifespans”.
(Google翻訳)
・人間の基本的な経験は、もっと良くなる可能性があります。さらに一歩進むと、多くの人が啓示、創造的なインスピレーション、思いやり、達成感、超越、愛、美しさ、瞑想的な平和といった特別な瞬間を経験しています。これらの経験の性質と頻度は、人によって大きく異なり、同じ人でも時期によって異なり、さまざまな薬物によって引き起こされることもあります（ただし、多くの場合は副作用があります）。これらすべては、「経験可能な空間」が非常に広く、人々の人生の大部分がこれらの特別な瞬間で構成されている可能性があることを示唆しています。さまざまな認知機能を全面的に改善することもおそらく可能です。これはおそらく、神経科学版の「生物学的自由」または「寿命の延長」です。
発達障害持ちでスペックが低い上、達成感とかの青春な感情を体験できなかった自分からすると夢のようだが、同時にこういうのを人工的に作れて皆良い人間になれるのってなんか怖くもあるな
はてなだとシロクマ先生とかがよくそういう話してる気がするけど
I think peoplefocus too muchon the past andfocus too muchonregret. Evenlike whenyou deal with schools,youtakelike my slaveidea. My mypointisI’ve heard ofhistory class.I’ve never heard of a class that breaks down howyou,ya know, balance a checkbook or howyou controlyour finances, which uh my father never taught me that, andI’ve never heard of a future class. So they keep us sofocusedonhistory that we start tobelieve thatit actually repeatsitself and we become overly traditional and we can’tadvanceas arace of beings. Weget too caught up in the past and what everyone’s saying and what everyone’s tweeting ….
and sometimesyou just have to beFearless enough to break the fuckin simulation
14本ですね。
| 順位 | 曲 | アーティスト | ジャンル |
| 1 | SUPERNATURAL | NEWJEANS | K-POP |
| 2 | DARUMA | DARUMAS | |
| 3 | 本日のおすすめ | 離婚伝説 | |
| 4 | FEELSLIKEIMFALLINGINLOVE | COLDPLAY | |
| 5 | BURNING | 羊文学 | |
| 6 | EARTH, WIND AND FIRE(JAPANESE VER.) | BOYNEXTDOOR | K-POP |
| 7 | SMALLGIRL | LEEYOUNG JI FEAT.D.O. | K-POP |
| 8 | EVERY HOUR | SALA | K-POP |
| 9 | EVER SEEN | BEABADOOBEE | K-POP |
| 10 | HUSHHUSH | BE:FIRST × ATEEZ | K-POP |
| 11 | HOT UPTOWN | CAMILA CABELLO FEAT. DRAKE | |
| 12 | 踊りませんか？ | AILE THE SHOTA | |
| 13 | 透明 | RLOEVO | |
| 14 | ラッキーカラー | あいみょん | K-POP |
| 15 | ROCKSTAR | LISA | |
| 16 | MUM | CHILLIBEANS. | |
| 17 | GOOD MORNING | a子 | |
| 18 | UNDEAD | YOASOBI | |
| 19 | 触れる唇 | XINU | |
| 20 | WOMAN'S WORLD | KATY PERRY | |
| 21 | LIFTYOU UP | JESSIE WARE & ROMY | |
| 22 | 影 | OVALL FEAT.さらさ | |
| 23 | PERFUME | PALEWAVES | |
| 24 | GOODTOGETHER | LAKE STREETDIVE | |
| 25 | YOUNGMAN | HYUKOH, 落日飛車 | K-POP |
| 26 | MYBODYIS CUTE | 詩羽 | |
| 27 | ADD UP MYLOVE | CLAIRO | |
| 28 | RAZE THEBAR | TRAVIS | |
| 29 | BADLOVEGOD | HOPE TALA | |
| 30 | DREAMBEND | KESSONCODA | |
| 31 | HOT MESS | AESPA | |
| 32 | SHARON | OFFICIAL髭男DISM | |
| 33 | SMERALDOGARDEN MARCHING BAND | JIMIN FEAT. LOCO | |
| 34 | ホムンクルス | VAUNDY | |
| 35 | YATTAAMAN | MISIIN | |
| 36 | 恋のブギウギナイト | サザンオールスターズ | |
| 37 | 赤猫 | 水曜日のカンパネラ | |
| 38 | ライリーストーン | 眞名子 新 | |
| 39 | DIVE | TWICE | K-POP |
| 40 | DUSKYDOLPHIN | NATSUDAIDAI | |
| 41 | POUR ME A DRINK | POST MALONE FEAT. BLAKESHELTON | |
| 42 | NEVER LETGO | JUNG KOOK | K-POP |
| 43 | BIRDS OF A FEATHER | BILLIE EILISH | |
| 44 | HOWSWEET | NEWJEANS | K-POP |
| 45 | 私のモネ | LILY | |
| 46 | ふたりのBGM | GOODBYE APRIL FEAT. 土岐 麻子 | |
| 47 | LUV STUCK | SALUTE AND PIRI | |
| 48 | うつつ | 鈴木真海子 | |
| 49 | DONEWITH YOU | OMARAPOLLO | |
| 50 | THERAIN | THE BURNING DEADWOODS FEAT.KENTA DEDACHI | |
| 51 | TIME | OLIVIA DEAN | |
| 52 | SHIKATO!!! | NOVELCORE | |
| 53 | FOREVER | BABYMONSTER | |
| 54 | LIFT OFF! | SALUTE, DISCLOSURE | |
| 55 | マーメイド | 水曜日のカンパネラ | |
| 56 | 若者のすべて | SUIS FROM ヨルシカ | |
| 57 | あつまれ | MONJE | |
| 58 | RIGHTNOW | NEWJEANS | K-POP |
| 59 | SISTER | チョーキューメイ | |
| 60 | SIDE QUEST | PEARL & THE OYSTERS | |
| 61 | DON'T | MFS | |
| 62 | 君はハニーデュー | 日向坂46 | |
| 63 | RED | 今市 隆二 | |
| 64 | MAGNETIC | ILLIT | K-POP |
| 65 | OONTZ | MICHELLE | |
| 66 | 毎日 | 米津 玄師 | |
| 67 | アイワナ | 冨岡 愛 | |
| 68 | DANCEWITH THE DEVIL | BLXSTAND ANDERSON .PAAK | |
| 69 | EVERYTIME | BAKAR FEAT. LANCEY FOUX | |
| 70 | SHE'SGONE, DANCEON | DISCLOSURE | |
| 71 | CUBISM | OVALL | |
| 72 | WHITE LIES | NEWSPEAK | |
| 73 | BUBBLEGUM | NEWJEANS | K-POP |
| 74 | 鬼ノ宴 | 友成 空 | |
| 75 | LITHONIA | CHILDISH GAMBINO | |
| 76 | HEAVENLYHELL | STEVEAOKI FEAT.NE-YO | |
| 77 | YELLOWBIG HEADER | ピーナッツくん | |
| 78 | あなたへの手紙 | スガシカオ | |
| 79 | SEXY TOSOMEONE | CLAIRO | |
| 80 | ECHELON | 80KIDZ,SASCHA | |
| 81 | LOSE MYFOCUS | RAVEENA | |
| 82 | SAY | KESHI | |
| 83 | SOGOOD | REIKO | |
| 84 | RISK | GRACIE ABRAMS | |
| 85 | REALLYLOVE | 今市 隆二 FEAT.HIROMITSU KITAYAMA | |
| 86 | LOVE BANDITZ | OWV | |
| 87 | CINDERELLA | REMIWOLF | |
| 88 | BLAZE | 三代目 J SOUL BROTHERS FROM EXILE TRIBE | |
| 89 | HOW FARISYOURLOVE | SURFACES WITH LOS LONELYBOYS | |
| 90 | FANTASY | DEF TECH | |
| 91 | 一日花 | 東京スカパラダイスオーケストラ FEAT.IMASE&習志野高校吹奏楽部 | |
| 92 | NO PROBLEMS | GINGERROOT | |
| 93 | GOOD LUCK,BABE! | CHAPPELL ROAN | |
| 94 | CITY HABITS | BRKFSTBLEND | |
| 95 | モウショ | YAMORI | |
| 96 | I HAD SOME HELP | POST MALONE FEAT.MORGAN WALLEN | |
| 97 | HOT TOGO! | CHAPPELL ROAN | |
| 98 | ハチス | 折坂 悠太 | |
| 99 | I'M FREE | PARIS HILTON &RINA SAWAYAMA | |
| 100 | STEPBYSTEP | TAIKING FEAT. 荒谷 翔大 |