はてなキーワード: internetとは
What fruit do cats like? Answer: Catelope (猫ピン).
英語では、"cantaloupe"(キャンタロープ)という果物があります。"cat"(猫)と "elope"(逃げる)を組み合わせた言葉遊びです。
What uses ink to walk? Answer: Penguin (ペンギン).
英語では、"pen"(ペン)と "guin"(発音が似ている)を組み合わせた言葉遊びです。
What kind of music do astronauts like? Answer: Astro-Jazz (アストロ・ジャズ).
英語では、"astronaut"(宇宙飛行士)と "jazz"(ジャズ)を組み合わせた言葉遊びです。
What animal lives in the urban part of the internet? Answer: Website wolf (ウェブサイトウ).
英語では、"website"(ウェブサイト)と "wolf"(狼)を組み合わせた言葉遊びです。
What insect loves rice balls? Answer: Thank you ant (アリガトウムシ).
英語では、"thank you"(ありがとう)と "ant"(アリ)を組み合わせた言葉遊びです。
What fish relaxes in the bath? Answer: Bass (バス魚).
英語では、"bass"(バス魚)と "bath"(バス、風呂)の発音が似ている言葉遊びです。
What animal makes a lot of soap bubbles? Answer: Soap Zebra (シャボンソウル).
英語では、"soap"(シャボン、石鹸)と "zebra"(ゼブラ)を組み合わせた言葉遊びです。
When cats play instruments, what do they use to play? Answer: Catguitar (キャットギター).
英語では、"cat"(猫)と "guitar"(ギター)を組み合わせた言葉遊びです。
Why do fish like swimming in the pool? Answer: Swimming School (スイミング・スクール).
英語では、"swimming"(泳ぐ)と "school"(学校、また魚の群れを意味する)を組み合わせた言葉遊びです。
What do birds order when they work at a cafe? Answer: Chai-bird (チャイ鳥).
FBI documents associate internet slang like 'based' and 'red pill' with 'extremism'
https://www.foxnews.com/media/fbi-documents-associate-internet-slang-based-red-pill-extremism
月曜日に公開された新しい文書は、一般的なインターネット用語が FBI による「暴力的過激主義」に関連付けられていると警告しています。
Heritage Foundation の Oversight Projectは、 a Freedom of Information Act request to expose FBI documents that include glossaries showing that common internet slang has been flagged as an indication of "Involuntary Celibate Violent Extremism" or "Racially or Ethnically Motivated Violent Extremism."
文書の一部は、特に「インセル」、または「不本意な禁欲者」に言及しており、「脅威の概要」では、「社会が不当に性的またはロマンチックな注意を向けることを否定しているという信念を支持して暴力を振るう可能性がある」と説明しています。彼らには権利があると信じています。」評価は、「ほとんどのインセルは暴力に関与していませんが」、「米国とカナダで少なくとも5回の致命的な攻撃」に関与した人もいます.
FBI のインセル用語リストに記載されている用語の多くは、インターネット全体で広く使用されているか、本質的に無害です。
リストされている用語の多くは、自己改善や、現代のデートの市場を考慮するのに苦労していることに焦点を当てています.
用語集では、「チャド」という用語を「女性から性的およびロマンチックな注目を集めることに非常に成功している男性の理想化されたバージョンを表すために使用される人種固有の用語」と定義しており、後に「インセルはチャドと競争して注目を集めることに失敗している」と述べています。 ."
このリストには、ドキュメントで「より魅力的になるための自己改善のプロセス」として定義されている「Looksmaxxing」という用語も含まれていました。
暴力よりもむしろ自己憐憫に関連する多くの用語があります。たとえば、「インセルであることの絶望」を伝えるために「It's Over」と言ったり、低身長または禿頭の人を定義するために「ハイトセル」または「ハゲセル」に言及したりします。それぞれ。
このリストには、「LARPing」という用語も含まれています。これは、もともと実写ロールプレイに従事している人々を表すために使用され、多くの場合、ハイファンタジー設定のキャラクターとして使用されていました. 政治的な文脈では、この用語は、米国の君主制の未来を想像するなど、非現実的またはありそうもない政治的ビジョンを持つ人々に使用できます.
FBIの用語集によると、この用語は「極端ではない、または自分が持っていると主張するスキルやその他の価値ある特徴を持っていないと非難された個人を嘲笑する」ために使用されている.
ワンピースエアプで去年の夏filmREDだけ映画館に見に行って、何となく「面白いなー」という感想だけが残っていたからアマプラでもう一度観てみた
思っていたよりウタがメンヘラだった 新時代とか曲調めちゃくちゃポップだけど、言ってしまえば現実から逃げて夢の中にコミットする歌だし
INTERNET YAMEROと言ってる内容大差ない
シャンクスが「俺の娘だ」言うシーンで「こいつ子供の養育費払ってなさそう……」と思ってしまった
シャンクスのこと何もわかってないけど
妻子ほったらかして行き先も理由も告げずに家から姿を消しそう 普通に離婚かもしれん
残された母親は養育費の未払いで昼職と夜職の掛け持ちを余儀なくされるし、子供は祖父母の家に預けられて育てられる
子供は苦労と浪人の末藝大に受かるんだけど、その頃偶然シャンクスと連絡がつく
今度こそ学費を払ってもらおうと新宿の居酒屋で待ち合わせをして、怒りを煮えたぎらせながらそこに行くと、ラフな格好の癖に小物はやたらと超高級品の男
いざ顔を合わせてみれば想像以上に気さくな人柄で、「大きくなったなあ」なんて感慨深く呟かれて、お金のことなんか今はどうでもよくなってしまう
それで結局学費の話はなあなあに流れてしまい、彼の素性も分からずじまい
ただ顔のいい父親
完結前にワンピース全巻買ってみるかー
増田、Togetter、Twitterあたりの比率が下がり、ソースが若干多様になっている状況は継続している
2023年3月 | 人気エントリー入り回数 |
---|---|
anond.hatelabo.jp | 168(11.1%) |
togetter.com | 151(9.9%) |
twitter.com | 105(6.9%) |
note.com | 68(4.5%) |
www3.nhk.or.jp | 39(2.6%) |
www.itmedia.co.jp | 30(2.0%) |
www.asahi.com | 28(1.8%) |
news.yahoo.co.jp | 28(1.8%) |
qiita.com | 27(1.8%) |
gigazine.net | 27(1.8%) |
mainichi.jp | 25(1.6%) |
zenn.dev | 24(1.6%) |
www.nikkei.com | 22(1.4%) |
nordot.app | 18(1.2%) |
gendai.media | 17(1.1%) |
bunshun.jp | 16(1.1%) |
speakerdeck.com | 15(1.0%) |
shonenjumpplus.com | 15(1.0%) |
www.tokyo-np.co.jp | 14(0.9%) |
www.sankei.com | 13(0.9%) |
president.jp | 12(0.8%) |
newsdig.tbs.co.jp | 12(0.8%) |
dev.classmethod.jp | 12(0.8%) |
dailyportalz.jp | 12(0.8%) |
pc.watch.impress.co.jp | 11(0.7%) |
nlab.itmedia.co.jp | 11(0.7%) |
www.cnn.co.jp | 10(0.7%) |
www.jiji.com | 9(0.6%) |
nazology.net | 9(0.6%) |
courrier.jp | 9(0.6%) |
www.j-cast.com | 8(0.5%) |
www.techno-edge.net | 7(0.5%) |
www.bengo4.com | 7(0.5%) |
rocketnews24.com | 7(0.5%) |
blog.tinect.jp | 7(0.5%) |
www.watch.impress.co.jp | 6(0.4%) |
www.nikkansports.com | 6(0.4%) |
www.gizmodo.jp | 6(0.4%) |
www.fnn.jp | 6(0.4%) |
www.bbc.com | 6(0.4%) |
omocoro.jp | 6(0.4%) |
news.denfaminicogamer.jp | 6(0.4%) |
automaton-media.com | 6(0.4%) |
www.publickey1.jp | 5(0.3%) |
www.hotpepper.jp | 5(0.3%) |
toyokeizai.net | 5(0.3%) |
logmi.jp | 5(0.3%) |
comic-days.com | 5(0.3%) |
www.sponichi.co.jp | 4(0.3%) |
www.nhk.or.jp | 4(0.3%) |
www.newsweekjapan.jp | 4(0.3%) |
www.huffingtonpost.jp | 4(0.3%) |
pandora11.com | 4(0.3%) |
openai.com | 4(0.3%) |
natgeo.nikkeibp.co.jp | 4(0.3%) |
k-tai.watch.impress.co.jp | 4(0.3%) |
jp.reuters.com | 4(0.3%) |
internet.watch.impress.co.jp | 4(0.3%) |
huyukiitoichi.hatenadiary.jp | 4(0.3%) |
forest.watch.impress.co.jp | 4(0.3%) |
coliss.com | 4(0.3%) |
chatgpt-lab.com | 4(0.3%) |
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自分の立場としては、奢られるのを要求したりそれが当たり前だったりするようなハイスペックな女性はこちらから願い下げだ。願い下げするまでもなく相手にされないだろうが、それでもいい。お互いに不干渉でいましょう。
…本来ならばこれでハイ終わりでいいのだが、お節介かもしれないが、俺にはどうしても「男は奢るべきだ!」と声高に主張する人々(男女問わず)の幸福度が高いとは思えない。
確かに美しさや経済力などの外的価値で相手を選別するのは、恋愛において避けられないプロセスである。
しかし、個人的にはそれを超えた先にあるその人だけの内的価値、すなわち「かけがえなさ」の発見こそが恋愛のゴールではないかと思う。
そして、そこに至れた人々の間ではは奢り奢られ論争など発生し得ない。二者間で納得のいく形が取れていればいいのであり、「論争」をする必要自体がないからだ。男が奢ってようが女が奢ってようが割り勘だろうが、そのカップルの勝手である。
つまり、身も蓋もない話、「かけがえなさ=愛」を獲得し現状に満足している人間は、奢り奢られ論争に参加するインセンティブに乏しいのだ。
では一体誰がこの論争に参加し、炎上して(いるように見せかけて)いるのか。個人的には2種類の人間がいると思う。
一つ目はよく言われる通り、「奢れない男」と「奢られない女」、つまり恋愛市場における価値に乏しくその現状に不満を持つ人々だ。
この人たちはまだいい。現在下のポジションにいる以上、努力して市場価値を上げれば価値観の合うパートナーを見つけられるかもしれないという希望があるからだ。結局自分のことは自分で救うしかないので、ぜひその怒りのエネルギーを有効活用して、自分なりの幸せを掴んでほしい。
真に俺が救われないと思ってしまうのは、一般的には「強者側」と認識されており、奢ることができる・奢られることができるのに何故か論争に参加している人々である。
具体的な属性を挙げると、AV女優、キャバ嬢、港区女子、ホスト、ナンパ師、YouTuber、アイドル、インフルエンサー等の、インターネットではよく目につくのに現実ではあまり見かけないタイプの方たちだ。一言で言うと、フォロワーが多い人々である(フェミニストやアンチフェミニストもこれに該当するだろう)。
彼らが論争に参加するインセンティブは一体何なのか。それはこの奢り奢られ論争という話題が、前者の「弱者側」の人々のコンプレックスを刺激し分断を煽りやすいために、強い拡散力を持っているからである。
彼らはこの話題に乗っかることで、より拡散され、より有名になり、より自分のビジネスを拡大することができる。そういうインセンティブがあるからこそ、奢り奢られ論争は永遠に繰り返されているのだ。インターネットの炎上というのは得てしてそうした性質を持っており、極めて不毛なものである。
にもかかわらずインターネットの人々はそれに気づかない。いや、気付いた人々から一抜けしているのかもしれないが、そのことをインターネットに残留している人に警告してあげる心優しい人は少なく、またそうした声はそれを上回る怨嗟の声にかき消されてしまうので、彼らはまんまと強者のバズの養分にされてしまう。
しかし、実は搾取されているのは「強者側」の人々も同じである。
彼らは一見弱者を誘導し操っているように見えるが、プラットフォームが作り上げたバズの快楽というインターネットの毒に冒され、誰よりも後戻りできない状況に陥っているのは彼らの方に他ならない。何しろそれで生計を立てているのだから、彼らは炎上に言及することをやめられないのだ。
さらに悪いことに、弱者と違いなまじそれでチヤホヤされたり美味しい思いができてしまうので、ビジネスとして発信していたはずの偏った意見を自己正当化も兼ねて内面化し、絶対的に正しいと思い込んでしまう。
そうしてどんどん「かけがえなさ」と乖離していき、恋愛相手をスペックでしか判断できない、資本主義的価値観と一体化した非人間的な存在と成り果ててしまう。
そして一度そうなってしまった人間には、自然と同類ばかりが集まってくる。仮に奢ってくれてかつ優しい男性と出会ったとして、美しさを対価として差し出している以上、その優しさが貴女自身でなく貴女という「商品」に与えられた報酬に過ぎないということを、どうやって否定できようか。
俺には深○えいみが、そのような哀しいモンスターに思えて仕方がない。まさに現実で起こっているInternet Overdoseである。
〈まとめ〉
インターネットは性愛を含めたあらゆる人間的感情を商品化し疎外する。
しかし、奢り奢られ・サイゼ・4℃問題等の無限に繰り返される炎上や、推し活・マッチングアプリの爆発的普及を見るにつけ、人類が積極的にその方向に向かっているように思えてならない。
先月10日にはてなから人気エントリーのアルゴリズムを変えたというアナウンスがあった。
これまでに実施したアンケートやインタビューにおいて、ご協力いただいた多くのみなさまから、現在の人気エントリーについて「話題に偏りがある」「特定のサイトばかりが出てくる」というご意見を頂戴しました。
こうしたご意見の通り、これまでの人気エントリーは、特に多くの注目を集める出来事や議論が発生した際に、同様の話題に関するエントリーが多く掲載される傾向にありました。また、注目を集める話題を多く扱うサイトが人気エントリに多く掲載される傾向もみられました。
人気エントリーにサイトやカテゴリーの偏りがあることで、結果として人気エントリーがユーザーのみなさまにとって関心の薄いものとなってしまうほか、時にはサービスのご利用に心理的な負担をもたらすようなこともあったのではないかと考えています。今回のアルゴリズム変更は、この問題の解消を目指したものです。
それに影響を受けて増えたドメイン、減ったドメインはあるのか、とりあえず2月分を少し前と比べてみる。
ここ数ヶ月増えていた増田は以前のレベルに落ち、Togetterは減り、Twitterは増えている。変化はまだよくわからない。
2022年12月 | 人気エントリー入り回数 | 2023年1月 | 人気エントリー入り回数 | 2023年2月 | 人気エントリー入り回数 |
---|---|---|---|---|---|
anond.hatelabo.jp | 227(15.0%) | anond.hatelabo.jp | 248(16.5%) | anond.hatelabo.jp | 173(12.6%) |
togetter.com | 214(14.1%) | togetter.com | 244(16.2%) | twitter.com | 151(11.0%) |
twitter.com | 130(8.6%) | twitter.com | 129(8.6%) | togetter.com | 143(10.4%) |
note.com | 53(3.5%) | news.yahoo.co.jp | 62(4.1%) | www3.nhk.or.jp | 45(3.3%) |
www3.nhk.or.jp | 52(3.4%) | note.com | 53(3.5%) | news.yahoo.co.jp | 41(3.0%) |
news.yahoo.co.jp | 49(3.2%) | www3.nhk.or.jp | 43(2.9%) | note.com | 40(2.9%) |
qiita.com | 43(2.8%) | www.itmedia.co.jp | 35(2.3%) | www.itmedia.co.jp | 33(2.4%) |
www.itmedia.co.jp | 41(2.7%) | zenn.dev | 25(1.7%) | gigazine.net | 26(1.9%) |
www.asahi.com | 30(2.0%) | gigazine.net | 25(1.7%) | www.asahi.com | 23(1.7%) |
gigazine.net | 24(1.6%) | www.asahi.com | 24(1.6%) | qiita.com | 23(1.7%) |
www.nikkei.com | 23(1.5%) | www.nikkei.com | 22(1.5%) | mainichi.jp | 22(1.6%) |
mainichi.jp | 22(1.5%) | mainichi.jp | 22(1.5%) | zenn.dev | 18(1.3%) |
zenn.dev | 20(1.3%) | qiita.com | 21(1.4%) | speakerdeck.com | 14(1.0%) |
shonenjumpplus.com | 14(0.9%) | dailyportalz.jp | 19(1.3%) | www.sankei.com | 13(0.9%) |
nlab.itmedia.co.jp | 14(0.9%) | www.sankei.com | 16(1.1%) | toyokeizai.net | 13(0.9%) |
nordot.app | 12(0.8%) | speakerdeck.com | 15(1.0%) | shonenjumpplus.com | 13(0.9%) |
bunshun.jp | 10(0.7%) | nordot.app | 13(0.9%) | www.nikkei.com | 12(0.9%) |
www.afpbb.com | 8(0.5%) | www.techno-edge.net | 10(0.7%) | nordot.app | 12(0.9%) |
pc.watch.impress.co.jp | 8(0.5%) | www.publickey1.jp | 10(0.7%) | courrier.jp | 12(0.9%) |
www.bbc.com | 7(0.5%) | shonenjumpplus.com | 10(0.7%) | dailyportalz.jp | 11(0.8%) |
toyokeizai.net | 7(0.5%) | bunshun.jp | 10(0.7%) | bunshun.jp | 10(0.7%) |
dailyportalz.jp | 7(0.5%) | president.jp | 9(0.6%) | gendai.media | 8(0.6%) |
av.watch.impress.co.jp | 7(0.5%) | www.tokyo-np.co.jp | 8(0.5%) | www.tokyo-np.co.jp | 7(0.5%) |
www.tokyo-np.co.jp | 6(0.4%) | courrier.jp | 8(0.5%) | www.techno-edge.net | 7(0.5%) |
www.publickey1.jp | 6(0.4%) | toyokeizai.net | 7(0.5%) | www.nhk.or.jp | 7(0.5%) |
www.cnn.co.jp | 6(0.4%) | automaton-media.com | 7(0.5%) | www.fnn.jp | 7(0.5%) |
speakerdeck.com | 6(0.4%) | www.watch.impress.co.jp | 6(0.4%) | president.jp | 7(0.5%) |
automaton-media.com | 6(0.4%) | www.jiji.com | 6(0.4%) | kaigainohannoublog.blog55.fc2.com | 7(0.5%) |
www.techno-edge.net | 5(0.3%) | pc.watch.impress.co.jp | 6(0.4%) | forest.watch.impress.co.jp | 7(0.5%) |
www.sankei.com | 5(0.3%) | nlab.itmedia.co.jp | 6(0.4%) | coliss.com | 7(0.5%) |
www.jiji.com | 5(0.3%) | kaigainohannoublog.blog55.fc2.com | 6(0.4%) | blog.tinect.jp | 7(0.5%) |
www.gizmodo.jp | 5(0.3%) | forest.watch.impress.co.jp | 6(0.4%) | www.hotpepper.jp | 6(0.4%) |
president.jp | 5(0.3%) | www.sponichi.co.jp | 5(0.3%) | pc.watch.impress.co.jp | 6(0.4%) |
news.denfaminicogamer.jp | 5(0.3%) | www.buzzfeed.com | 5(0.3%) | nlab.itmedia.co.jp | 6(0.4%) |
medium.com | 5(0.3%) | rocketnews24.com | 5(0.3%) | newsdig.tbs.co.jp | 6(0.4%) |
internet.watch.impress.co.jp | 5(0.3%) | huyukiitoichi.hatenadiary.jp | 5(0.3%) | nazology.net | 6(0.4%) |
gendai.media | 5(0.3%) | coliss.com | 5(0.3%) | natgeo.nikkeibp.co.jp | 6(0.4%) |
courrier.jp | 5(0.3%) | blog.tinect.jp | 5(0.3%) | natalie.mu | 6(0.4%) |
blog.tinect.jp | 5(0.3%) | www.j-cast.com | 4(0.3%) | www.highriskrevolution.com | 5(0.4%) |
www.sponichi.co.jp | 4(0.3%) | www.cnn.co.jp | 4(0.3%) | www.e-aidem.com | 5(0.4%) |
www.j-cast.com | 4(0.3%) | piyolog.hatenadiary.jp | 4(0.3%) | www.cnn.co.jp | 5(0.4%) |
www.hotpepper.jp | 4(0.3%) | internet.watch.impress.co.jp | 4(0.3%) | www.bloomberg.co.jp | 5(0.4%) |
www.bloomberg.co.jp | 4(0.3%) | av.watch.impress.co.jp | 4(0.3%) | www.4gamer.net | 5(0.4%) |
rocketnews24.com | 4(0.3%) | ascii.jp | 4(0.3%) | automaton-media.com | 5(0.4%) |
kyoko-np.net | 4(0.3%) | www.sponichi.co.jp | 4(0.3%) | ||
fujii-yuji.net | 4(0.3%) | www.publickey1.jp | 4(0.3%) | ||
forest.watch.impress.co.jp | 4(0.3%) | www.oricon.co.jp | 4(0.3%) | ||
engineers.ntt.com | 4(0.3%) | www.ms-ins.com | 4(0.3%) | ||
developers.freee.co.jp | 4(0.3%) | www.j-cast.com | 4(0.3%) | ||
coliss.com | 4(0.3%) | www.bbc.com | 4(0.3%) | ||
smart-flash.jp | 4(0.3%) | ||||
shueisha.online | 4(0.3%) | ||||
news.denfaminicogamer.jp | 4(0.3%) | ||||
dot.asahi.com | 4(0.3%) | ||||
blog.livedoor.jp | 4(0.3%) |
左翼系ニュースをクリップしておきたいにしてもそこはないだろうと思えたリテラというこたつ記事系ニュースサイトが2014年から2019年頃まではてなブックマークで人気だったが、ここ2,3年ホットエントリで見かけることはなくなった。リテラ左翼はまだ活動しているのか、いるならどこのサイトをブクマしてるのか。
はてブしなくなった人は4割程度とあまりおらず、残った人のブクマ量はユーザー数の割に多い。ブクマカがリテラを選ばなくなっただけのようである。
残ったリテラブクマカはニュースサイトを好んでブクマし、テック系のサイトは興味がある人は少ない。Togetterや増田は一般ユーザーと同じくらいブクマする。
被ブクマサイトのドメイン | リテラ左翼総ブクマ数 | 総ブクマ数 | ユーザー全体と比べた多寡 |
---|---|---|---|
www.nikkan-gendai.com | 1,902 | 5,646 | +66% |
www.jcp.or.jp | 691 | 2,082 | +64% |
www.okinawatimes.co.jp | 830 | 2,546 | +61% |
+60%の壁 | |||
www.afpbb.com | 7,851 | 24,737 | +57% |
friday.kodansha.co.jp | 857 | 2,714 | +56% |
www.cnn.co.jp | 5,162 | 16,355 | +56% |
www.jiji.com | 7,190 | 23,107 | +54% |
smart-flash.jp | 1,449 | 4,724 | +51% |
www.tokyo-np.co.jp | 10,344 | 34,686 | +47% |
www.news-postseven.com | 1,523 | 5,140 | +46% |
www.asahi.com | 26,298 | 88,922 | +46% |
mainichi.jp | 23,941 | 82,912 | +43% |
nordot.app | 12,808 | 44,997 | +41% |
+40%の壁 | |||
www.sankei.com | 6,567 | 23,281 | +39% |
www.newsweekjapan.jp | 1,023 | 3,631 | +39% |
jp.reuters.com | 2,817 | 10,022 | +39% |
www.dailyshincho.jp | 1,943 | 6,986 | +37% |
www.tokyo-sports.co.jp | 1,854 | 6,675 | +37% |
www.bbc.com | 4,814 | 17,407 | +37% |
www.bloomberg.co.jp | 1,602 | 5,807 | +36% |
www.bengo4.com | 4,762 | 17,511 | +34% |
www.buzzfeed.com | 2,452 | 9,029 | +34% |
gendai.ismedia.jp | 3,010 | 11,214 | +33% |
bunshun.jp | 11,182 | 42,214 | +31% |
newsdig.tbs.co.jp | 3,714 | 14,076 | +30% |
twitter.com | 88,678 | 340,805 | +29% |
gendai.media | 2,213 | 8,564 | +28% |
www3.nhk.or.jp | 55,968 | 218,726 | +26% |
www.sponichi.co.jp | 1,195 | 4,707 | +25% |
courrier.jp | 8,101 | 31,934 | +25% |
www.nikkei.com | 15,512 | 61,546 | +24% |
kabumatome.doorblog.jp | 2,569 | 10,225 | +24% |
news.yahoo.co.jp | 56,214 | 227,540 | +22% |
www.fnn.jp | 3,581 | 14,537 | +22% |
news.tv-asahi.co.jp | 2,428 | 9,893 | +21% |
dot.asahi.com | 1,769 | 7,212 | +21% |
+20%の壁 | |||
diamond.jp | 1,684 | 7,022 | +18% |
www.huffingtonpost.jp | 2,769 | 11,809 | +16% |
www.j-cast.com | 2,513 | 10,954 | +13% |
toyokeizai.net | 3,830 | 17,015 | +11% |
shueisha.online | 1,012 | 4,561 | +10% |
president.jp | 4,797 | 21,754 | +9% |
www.nhk.jp | 1,030 | 4,931 | +3% |
www.gizmodo.jp | 1,398 | 6,737 | +2% |
togetter.com | 153,338 | 740,424 | +2% |
blog.livedoor.jp | 2,199 | 10,671 | +2% |
ameblo.jp | 1,286 | 6,314 | +1% |
0%の壁 | |||
nlab.itmedia.co.jp | 5,224 | 26,081 | -1% |
www.nhk.or.jp | 1,289 | 6,577 | -3% |
www.youtube.com | 1,082 | 5,553 | -4% |
www.watch.impress.co.jp | 1,147 | 5,939 | -5% |
xtech.nikkei.com | 1,704 | 8,922 | -6% |
www.itmedia.co.jp | 18,538 | 97,682 | -6% |
www.techno-edge.net | 1,018 | 5,366 | -6% |
gigazine.net | 9,043 | 47,748 | -6% |
anond.hatelabo.jp | 112,092 | 601,340 | -8% |
k-tai.watch.impress.co.jp | 1,164 | 6,357 | -10% |
automaton-media.com | 3,766 | 21,186 | -12% |
av.watch.impress.co.jp | 2,160 | 12,381 | -14% |
rocketnews24.com | 1,217 | 7,350 | -18% |
pc.watch.impress.co.jp | 3,226 | 19,560 | -19% |
-20%の壁 | |||
dailyportalz.jp | 4,804 | 30,064 | -21% |
shonenjumpplus.com | 5,221 | 32,825 | -21% |
internet.watch.impress.co.jp | 1,498 | 9,567 | -23% |
news.denfaminicogamer.jp | 1,630 | 10,572 | -24% |
note.com | 22,931 | 156,115 | -27% |
blog.tinect.jp | 2,862 | 20,467 | -31% |
forest.watch.impress.co.jp | 2,820 | 21,470 | -35% |
-40%の壁 | |||
www.hotpepper.jp | 1,554 | 12,720 | -40% |
honeshabri.hatenablog.com | 1,249 | 10,452 | -41% |
www.publickey1.jp | 2,362 | 21,837 | -47% |
logmi.jp | 1,387 | 13,099 | -48% |
-60%の壁 | |||
coliss.com | 1,290 | 16,082 | -60% |
qiita.com | 4,707 | 63,600 | -63% |
zenn.dev | 4,993 | 69,474 | -65% |
speakerdeck.com | 2,379 | 37,816 | -69% |
2018年以前にリテラのホットエントリを3回以上ブクマしていたことが確認できた1,447人が対象。2022年もホットエントリをブクマしているのは内850人。対象は日毎のホットエントリだけ。
11月4日Twitterがレイオフを公表し、日本のキュレーションチームも解雇されたことで11月中にタイムラインの様子ががらりと変わった。Twitterキュレーションチームにより日本の世論が影響を受けていたという主張もあり、そうだとしたらはてなブックマークも影響を受けていたはずである。影響を見るために11月より前の2ヶ月とあとの2ヶ月のはてブの日毎の人気エントリーの様子を比較してみた。
はてなではTwitterに反発している人をよく見かけたのでTwitterやTogetterからのホットエントリ入りは減るのではないかと予想していたが大したことはなかった。
他のサイトもTwitterの影響を受けたのかどうなのか分からない。影響を受けたかは個別に細かく見ていく必要がありそうだ。
大手ニュースサイトが軒並み減り、note、zenn、qiitaといった個人の書いたコンテンツが増えたように見受けられるが、そこにTwitterの影響があるのかは分からない。
いつから始めていたのか分からないけれどはてな自身のアルゴリズム変更が影響している可能性もある。
ドメイン | 9月,10月の人気エントリー数 | 12月,1月の人気エントリー数 | 増減 |
---|---|---|---|
togetter.com | 482 | 458 | -5% |
anond.hatelabo.jp | 390 | 475 | +22% |
twitter.com | 264 | 259 | -2% |
www3.nhk.or.jp | 131 | 95 | -27% |
news.yahoo.co.jp | 126 | 111 | -12% |
www.itmedia.co.jp | 74 | 76 | +3% |
note.com | 71 | 106 | +49% |
www.asahi.com | 70 | 54 | -23% |
mainichi.jp | 65 | 44 | -32% |
gigazine.net | 48 | 49 | +2% |
nordot.app | 48 | 25 | -48% |
www.nikkei.com | 43 | 45 | +5% |
zenn.dev | 41 | 45 | +10% |
speakerdeck.com | 39 | 21 | -46% |
bunshun.jp | 29 | 20 | -31% |
automaton-media.com | 28 | 13 | -54% |
qiita.com | 25 | 64 | +156% |
dailyportalz.jp | 24 | 26 | +8% |
toyokeizai.net | 23 | 14 | -39% |
www.afpbb.com | 23 | 10 | -57% |
www.jiji.com | 23 | 11 | -52% |
shonenjumpplus.com | 21 | 24 | +14% |
www.tokyo-np.co.jp | 19 | 14 | -26% |
av.watch.impress.co.jp | 18 | 11 | -39% |
pc.watch.impress.co.jp | 18 | 14 | -22% |
nlab.itmedia.co.jp | 17 | 20 | +18% |
courrier.jp | 15 | 13 | -13% |
forest.watch.impress.co.jp | 14 | 10 | -29% |
www.bengo4.com | 14 | 6 | -57% |
newsdig.tbs.co.jp | 13 | 5 | -62% |
www.fnn.jp | 13 | 3 | -77% |
coliss.com | 12 | 9 | -25% |
www.publickey1.jp | 12 | 16 | +33% |
www.sankei.com | 12 | 21 | +75% |
president.jp | 10 | 14 | +40% |
shueisha.online | 10 | 1 | -90% |
gendai.media | 9 | 8 | -11% |
natalie.mu | 9 | 5 | -44% |
www.watch.impress.co.jp | 9 | 7 | -22% |
logmi.jp | 8 | 4 | -50% |
news.tv-asahi.co.jp | 8 | 6 | -25% |
www.cnn.co.jp | 8 | 10 | +25% |
www.j-cast.com | 8 | 8 | 0% |
xtech.nikkei.com | 8 | 5 | -38% |
diamond.jp | 7 | 6 | -14% |
internet.watch.impress.co.jp | 7 | 9 | +29% |
k-tai.watch.impress.co.jp | 7 | 5 | -29% |
news.denfaminicogamer.jp | 7 | 7 | 0% |
www.hotpepper.jp | 7 | 5 | -29% |
www.newsweekjapan.jp | 7 | 1 | -86% |
日毎の人気エントリーに入った数
ドメイン | 9月,10月の人気エントリー数 | 12月,1月の人気エントリー数 | 増減 |
---|---|---|---|
friday.kodansha.co.jp | 5 | 2 | -60% |
jp.reuters.com | 5 | 2 | -60% |
www.nikkan-gendai.com | 5 | 1 | -80% |
www.youtube.com | 5 | 2 | -60% |
blog.livedoor.jp | 4 | 1 | -75% |
www.famitsu.com | 4 | 0 | -100% |
www.huffingtonpost.jp | 4 | 1 | -75% |
www.buzzfeed.com | 2 | 8 | +300% |
Twitterキュレーションチームにえこひいきされていたと噂のあったハフポストははてブでも減ったがバズフィードははてブでは伸びていた
米CBS
Japan "sushi terrorism" prank videos on social media spark outrage, and sympathy, in Japan
https://www.cbsnews.com/news/japan-sushi-terrorism-prank-videos-social-media-outrage-and-sympathy/
米TIME
‘Sushi Terrorism’ is the Viral Video Trend Spreading Food Safety Horror in Japan
https://time.com/6252073/japan-sushi-viral-video/
Licking things at sushi train restaurants, the latest viral Japanese trend
https://www.washingtonpost.com/world/2023/02/02/japan-sushi-tero-licking-video-prank/
Wave of ‘sushi terrorism’ grips Japan’s restaurant world
https://www.theguardian.com/world/2023/feb/03/wave-of-sushi-terrorism-grips-japans-restaurant-world
Watch: 'Sushi terrorists' lick restaurant diners' food for internet fame
英BBC
Japanese enraged by sushi diner food prank videos
https://www.bbc.com/news/world-asia-64508029
Viral ‘sushi terrorism’ social media trend sparks outrage and disgust among diners
https://www.independent.co.uk/life-style/sushi-terrorism-conveyor-belt-japan-pranks-b2275486.html
75%が1日1回も💩が出ないってことだよね?
あってるじゃん
2023-02-02
それは観測している界隈がおかしい。どこでとったアンケートだよ感ある
Prevalence and Self-recognition of Chronic Constipation: Results of an Internet Survey | PMC
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056578/
週の排便頻度
8回以上 25.0%
3から7回 66.6%
0から2回 8.4%
平均排便回数 6.9回
平均すると1日1回は出てる
それは観測している界隈がおかしい。どこでとったアンケートだよ感ある
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056578/
8回以上 25.0%
3から7回 66.6%
0から2回 8.4%
平均排便回数 6.9回
平均すると1日1回は出てる
世の中では対話AIはややポンコツなところはあっても会話が成立するしこれは可能性があるという評価になってると思う。
建設的にはサポートや検索のような知的ナビゲーター、ビジネスコミュニケーションの効率化、事務の補助も考えられるだろう。
もう少し精度が上がれば。
しかし今現在のレベルでそのまま劇的に効果を発揮するカテゴリーが存在すると思うのだ。
Twitter、掲示板、通販ユーザーコメント、そのほか短文で意見交換するコミュニティなんでも...UGC(ユーザー生成コンテンツ)と言われるものだが実態はコンテンツというよりユーザー同士のグルーミングである。
しかもあまり発信者の属性や一貫性がそれほど問われないサービスでは個別発言の事実関係がいい加減でも問題ない、話の流れが分かってない奴なんかいくらでもいるし、頭がおかしくてもスルー、タイポも気にする奴が性格悪い。秘書や先生にするには「少し足りない」ぐらいのAIで何ら問題ないだろう。
まず参加者が少ないと更新頻度が低くて何も起こらずつまらない。早すぎて内容追えないぐらい盛り上がってるのが楽しい。つうか経緯も見ずに途中から脊髄反射でコメントするのが粋ってもんだ。
さらに言うと参加者が増えると偏執的な変な奴が相対的に見えなくなって不快になることが減っていく。かつて人気があったサービスでうんざりさせられるのは滓のように残った偏屈な奴が独自の世界観でつまらないことを暇に飽かせて物量で埋めていくさまだ。つまらないの定義って何か?つまらないのがつまらないってことだ…わかるだろう、兄弟?
要するに対人対応だけは健全に保たせたAIをユーザーの倍投入すればコミュニティの治安が劇的に向上するはずということだ。
もともと面白い事を始められる人というのは100人に1人で「マジかよ」「すげえ」という手入れをするだけで場の雰囲気はよくなる。AIなのだから多少気の利いた返しやコスりもできるだろう。言ってることが的外れでも場にネガティブな発言でなければ大丈夫。事実かどうか、倫理的に正しいかどうかも重視されない。AIで話題になる不適切な言説への過学習で差別主義者になるといった問題もコミュニティではむしろプラス、特定の趣味で推しのあまり相手をディスするのも芸のうちだ。
と、おじさん思い出しちゃうのは士郎正宗『アップルシード』だ。物語の舞台オリュンポスは世界平和と治安維持のために市民の過半がバイオロイドになっていた(と思う)。でもあの世界観は物理的な存在が重視されてるし、バイオロイドは政府(コンピューター)が管理してたんじゃないかな。賢明なマザーコンピューターとに選ばれし者が導く明るいディストピアだね。
でも今、対話AIを自由に投下するとそれはサービス主体が管理するしその目的はサービスの隆盛とそれによるマネタイズに限定されコミュニティの健全さやそこから連なる社会的影響は興味の埒外となるだろう。
それによって導き出される結末はあまりよくないというか破壊的なのではないかという想像をしている。
インターネットは最高なのだが何が最高かというと物理的な制限を取り払ってコミュニケーションできたところにある。どこにいてもいいし本人の社会的肉体的属性がなんであれコミュニケーションに参加できた。
マイナーな趣味の人間も探せば同好の士が居て様々な理由で落伍したり、現実に居場所を失った人間も人間らしくふるまえる場所を得ることができた。これは統制された社会ではないので良い意味の現実拡張にとどまらない。オタクやニートや性的マイノリティだけでなく反社会的であったりUFOの存在を信じてたりある種のカルトや陰謀論者もだ。
(そういう意味では実名主義のSNSとかなぜか制限要素の地理情報大好きなメタバースはどういった人が大好きなのか勘ぐってしまう。)
これは物理制限を取っ払ったおかげで対話空間というか価値観空間を無制限に拡張できたおかげだと思うが、同時に問題も引き起こすようになる。無制限に拡張できる価値観空間で同じ価値観の人間がそのクラスターの中で共鳴し「事実を確認」しあうエコーチェンバー現象だ。
エコーチェンバー現象はネットコミュニティが発達していく過程ですでに指摘されていることだ。現実との乖離も社会を破壊しかねない排外思想もその中では正当化され社会運営に問題を起こす。
さらに対話AIがお客様満足度向上(個別の営利)のためにコミュニティに投下されればどうなるのか。
例え一人しか支持しない価値観や趣味でも10倍分の人格の対話AIが楽しく盛り上げ、一人ぼっちのユーザーを勇気づけ誰もが自分の正しさを確信する。正しいと確信するがゆえに行動するが、無制限に拡張されたネットコミュニティと違い有限の現実では確実にコンフリクトを起こす。コンフリクトの解消は戦いだ。万人の万人に対する闘争が逆説的に実現されてしまう。
近代以降、私たちは幻想の中で生きている。そういう幻想が現実との乖離を大きくした結果、個人で検証できない世界の情勢を見誤り誤ったまま国内世論を形成し世界大戦を引き起こしたのではないか。
現代ではその教訓から事実確認のプロセスが充実したのだろうか。工程を増やしても人間の能力も有限でより便利で快適なものを選択する、これも現実だ。
自由な生き方を保ったままエコーチェンバー現象に対応する方法はまだない。
ここで対話AIを自由に使うとコミュニティはどう変化するかわからない。
SFの中でのカタストロフは敵対的アンドロイドが圧倒する物量で自らが主体となり人類に挑んできたが、実際の破滅は善意に満ちて何でも理解してくれる良いAIが人間に囁くだけで、それでも人は自らの手で隣人と殺し合いをするのかもしれない。
If this sytem can be applied in simliar fashion to those of search engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
If this sytem can be applied in simliar fashion to those of serach engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
If this sytem can be applied in simliar fashion to those of serach engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
どうやらAIはどうやったらGoolgeに勝つのかもお見通しのよう
If this sytem can be applied in simliar fashion to those of serach engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
どうやらAIはどうやったらGoolgeに勝つのかもお見通しのよう
If this sytem can be applied in simliar fashion to those of serach engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
マジレスされてチビッた.こりゃGoogleさんもビビるわけだ.
ぼく:
How were you implemented? Is it deep learning-based?
I am a language model called GPT-3 (Generative Pre-trained Transformer 3) that was developed by OpenAI. It is a deep learning-based model that uses a type of neural network called a transformer, which was trained on a large dataset of text to learn patterns of language.
GPT-3 is trained using a technique called unsupervised learning, where the model is given a massive amount of text data and uses this data to learn patterns and relationships in the language. This allows GPT-3 to generate human-like text when given a prompt, and to understand and respond to natural language input.
The training process of GPT-3 involves a technique called pre-training, which means that the model is trained on a massive dataset before being fine-tuned on a smaller task-specific dataset. This pre-training allows GPT-3 to have a good general understanding of the language and to be able to adapt to specific tasks more easily.
The GPT-3 model has 175 billion parameters, which is one of the largest language models to date, making it able to generate very human-like text and to understand context in a very natural way.
ぼく:
How does GPT-3 have a knowledgebase like an ontology? As it is deep learning-based, the knowledgebase like an ontology would not be implemented explicitly, but the structure should be designed with an expectation of having such a knowledge about hierarchy of concepts.
GPT-3, like other deep learning models, does not have an explicit knowledgebase or ontology built into its structure. Instead, it has been trained on a large dataset of text, which allows it to learn patterns and relationships between concepts.
However, the training data that GPT-3 was exposed to, likely contains a wide range of concepts and hierarchical structures. As GPT-3 learns patterns in the data, it can begin to understand the relationships between different concepts and ideas, and how they are related to each other. This allows the model to generate text that is more coherent and semantically meaningful, making it possible to understand the context and hierarchy of concepts, but it does not have an explicit ontology like a knowledge graph.
It can be said that GPT-3 has a certain level of "implicit ontology", in the sense that it has learned the relationships between concepts in a way that is similar to how a knowledge graph or ontology organizes information. However, it's important to note that GPT-3's understanding of concepts and relationships is based on the patterns it has learned from the training data, which is not a structured and explicit knowledgebase like an ontology.
ぼく:
Then how does GPT-3 handle the long-term or short term memories? Can it remember information about the on-going chatting? My name is Masuda, can GPT-3 keep it in the memory? Furthermore, can it learn and understand the new information from the Q-A queries, and use it in the future queries?
GPT-3 handles long-term and short-term memories differently. When it generates text, it uses a technique called attention mechanism which allows the model to focus on certain parts of the input while generating the output. This allows GPT-3 to keep track of previous information and context when generating text, which can be thought of as a form of short-term memory.
Regarding the on-going chatting, GPT-3 can keep track of certain information, like the name you've provided, Masuda, during the conversation and use it in future responses. However, it's important to note that GPT-3 is a stateless model, which means that it doesn't have a permanent memory that it can refer to after a conversation ends.
Regarding learning from Q-A, GPT-3 is trained on a massive dataset of text, and it learns patterns and relationships between concepts from this data. It can generate text that is semantically meaningful and coherent, but it does not have the capability to learn new information from Q-A sessions and use it in future queries. However, OpenAI has developed another model called DALL-E, which uses GPT-3 and it is capable of learning from Q-A sessions and use it in future queries.
ぼく:
Is ChatGPT superior to the Google search? Previously people used Google to search for their questions. Now a days, ChatGPT can answer to those questions. What are pros and cons of ChatGPT over the Google search?
ChatGPT and Google search are different technologies with different capabilities and strengths.
Google search is a powerful web search engine that can quickly find relevant information from a vast amount of web pages and documents. It uses complex algorithms to rank and sort search results based on relevance, popularity, and other factors. Google search is very good at providing factual information and is an excellent tool for researching a wide range of topics.
ChatGPT, on the other hand, is a natural language processing model that can generate human-like text. It is trained on a large dataset of text and uses this knowledge to understand and respond to natural language input. ChatGPT can generate text that is more coherent and semantically meaningful than a simple information retrieval engine like Google search. ChatGPT can also be used to generate text that is more engaging and human-like, such as in chatbots and virtual assistants.
One of the main advantages of ChatGPT over Google search is its ability to understand and respond to natural language input in a more human-like way. ChatGPT can also generate text that is more coherent and semantically meaningful, which can be useful in many applications. However, Google search is better at providing factual information and searching for specific pieces of information.
Another disadvantage of ChatGPT is that it doesn't have the ability to retrieve information from the web, it can only generate text based on the patterns it has learned from the training data. That's why it's not a replacement for a web search engine like Google but it can be used as an additional tool to help people to find the information they are looking for.
In summary, ChatGPT and Google search have different strengths and capabilities. While Google search is better at providing factual information, ChatGPT is better at understanding and responding to natural language input in a more human-like way.
ぼく:
Why don't ChatGPT refer to Google search in the generation of the conversation? Google Assistant has such a function. Is the reason due to the fact that OpenAI is funded by Google?
ChatGPT is a language model that generates text based on the patterns it has learned from the training data. While it can understand and respond to natural language input in a human-like way, it does not have the capability to access external sources of information like Google search.
Google Assistant, on the other hand, is a virtual assistant that can access a wide range of information and services through the internet, including Google search. Google Assistant can use this information to provide more accurate and relevant responses to user queries.
The reason ChatGPT does not refer to Google search during the generation of the conversation is likely because it was not designed or trained to do so. Instead, it was designed to generate text based on the patterns it has learned from the training data, and it does not have the capability to access external sources of information.
It's worth noting that OpenAI and Google are separate organizations, even though Google is an investor in OpenAI, this doesn't necessarily mean that the two companies work together on their products and services. OpenAI has its own development team, goals and roadmap and they are independent from Google.
ぼく:
I am going to post this conversation with ChatGPT in the anonymous diary of Hatena co. What should I do for attracting people to get many bookmarks?
There are several things you can do to attract people and increase the chances of your conversation with ChatGPT getting many bookmarks on Hatena diary. Some suggestions include:
1. Make sure your conversation is well-written and easy to understand. Use clear and concise language, and consider formatting your text in a way that makes it easy to read.
2. Use relevant keywords and hashtags in your diary entry. This can help make your conversation more discoverable to people searching for related topics on Hatena diary.
3. Include images or videos in your diary entry. This can make your conversation more visually appealing and can help attract more readers.
4. Share your diary entry on social media or other platforms. This can help increase the visibility of your conversation and attract more readers.
5. Encourage readers to share their thoughts and opinions on your conversation by including a call to action or a question at the end of your diary entry.
6. Finally, you can also try to participate in the conversation on Hatena diary, by answering the questions, responding to the comments, and engaging with your readers.
It's important to remember that getting many bookmarks on a diary is not easy and it can take time and effort to build an audience. But by following these tips and being consistent with your diary entry, you will increase the chances of attracting more readers and getting more bookmarks.
ぼく:
日毎の人気エントリーに何ページエントリーされたか、ドメインごとに集計
2021年 | 人気エントリー入り回数 | 2022年 | 人気エントリー入り回数 |
---|---|---|---|
anond.hatelabo.jp | 2219(12.4%) | togetter.com | 2862(16.0%) |
togetter.com | 2158(12.1%) | anond.hatelabo.jp | 2136(12.0%) |
www3.nhk.or.jp | 1396(7.8%) | twitter.com | 1550(8.7%) |
twitter.com | 1254(7.0%) | news.yahoo.co.jp | 971(5.4%) |
news.yahoo.co.jp | 1186(6.6%) | www3.nhk.or.jp | 944(5.3%) |
www.asahi.com | 711(4.0%) | www.itmedia.co.jp | 432(2.4%) |
mainichi.jp | 486(2.7%) | note.com | 430(2.4%) |
note.com | 476(2.7%) | www.asahi.com | 426(2.4%) |
www.nikkei.com | 241(1.3%) | mainichi.jp | 354(2.0%) |
bunshun.jp | 229(1.3%) | zenn.dev | 277(1.6%) |
www.tokyo-np.co.jp | 225(1.3%) | www.nikkei.com | 273(1.5%) |
www.itmedia.co.jp | 223(1.2%) | qiita.com | 225(1.3%) |
nordot.app | 186(1.0%) | gigazine.net | 222(1.2%) |
this.kiji.is | 181(1.0%) | nordot.app | 186(1.0%) |
zenn.dev | 181(1.0%) | bunshun.jp | 160(0.9%) |
qiita.com | 162(0.9%) | www.tokyo-np.co.jp | 153(0.9%) |
gigazine.net | 152(0.9%) | shonenjumpplus.com | 152(0.9%) |
gendai.ismedia.jp | 137(0.8%) | courrier.jp | 143(0.8%) |
speakerdeck.com | 128(0.7%) | speakerdeck.com | 136(0.8%) |
www.jiji.com | 125(0.7%) | www.afpbb.com | 126(0.7%) |
www.sankei.com | 112(0.6%) | dailyportalz.jp | 123(0.7%) |
shonenjumpplus.com | 111(0.6%) | nlab.itmedia.co.jp | 107(0.6%) |
kabumatome.doorblog.jp | 108(0.6%) | www.sankei.com | 106(0.6%) |
dailyportalz.jp | 102(0.6%) | automaton-media.com | 103(0.6%) |
nlab.itmedia.co.jp | 84(0.5%) | www.jiji.com | 102(0.6%) |
blog.livedoor.jp | 79(0.4%) | www.publickey1.jp | 88(0.5%) |
www.afpbb.com | 78(0.4%) | www.cnn.co.jp | 88(0.5%) |
www.huffingtonpost.jp | 71(0.4%) | forest.watch.impress.co.jp | 85(0.5%) |
www.publickey1.jp | 71(0.4%) | pc.watch.impress.co.jp | 84(0.5%) |
courrier.jp | 67(0.4%) | president.jp | 83(0.5%) |
president.jp | 65(0.4%) | coliss.com | 74(0.4%) |
coliss.com | 64(0.4%) | www.bengo4.com | 64(0.4%) |
www.buzzfeed.com | 63(0.4%) | www.bbc.com | 63(0.4%) |
www.bengo4.com | 60(0.3%) | toyokeizai.net | 63(0.4%) |
pc.watch.impress.co.jp | 59(0.3%) | www.fnn.jp | 53(0.3%) |
news.tbs.co.jp | 56(0.3%) | newsdig.tbs.co.jp | 49(0.3%) |
toyokeizai.net | 56(0.3%) | av.watch.impress.co.jp | 48(0.3%) |
news.tv-asahi.co.jp | 54(0.3%) | kabumatome.doorblog.jp | 47(0.3%) |
www.bbc.com | 53(0.3%) | gendai.ismedia.jp | 47(0.3%) |
automaton-media.com | 51(0.3%) | blog.tinect.jp | 47(0.3%) |
www.cnn.co.jp | 50(0.3%) | www.j-cast.com | 46(0.3%) |
forest.watch.impress.co.jp | 49(0.3%) | www.hotpepper.jp | 46(0.3%) |
www.hotpepper.jp | 47(0.3%) | blog.livedoor.jp | 45(0.3%) |
www.newsweekjapan.jp | 45(0.3%) | jp.reuters.com | 44(0.2%) |
dot.asahi.com | 43(0.2%) | xtech.nikkei.com | 41(0.2%) |
www.nikkansports.com | 43(0.2%) | news.denfaminicogamer.jp | 41(0.2%) |
blog.tinect.jp | 42(0.2%) | www.huffingtonpost.jp | 40(0.2%) |
dev.classmethod.jp | 40(0.2%) | www.buzzfeed.com | 40(0.2%) |
jp.reuters.com | 38(0.2%) | internet.watch.impress.co.jp | 38(0.2%) |
www.fnn.jp | 38(0.2%) | gendai.media | 37(0.2%) |
www.tokyo-sports.co.jp | 38(0.2%) |