  |
はてなキーワード: Engineとは
だから携帯機ゲー移植にもRE ENGINEを持ち出してくるようになったんかな。
逆転裁判は123はUnityで作られてるけど456はRE ENGINEに変わった。
マジレスするとカプコンはスト5でUnreal Engine 4を使ってこりゃダメだとなってスト6では内製のRE Engineに戻ってるよ。
なんか自分がゲームエンジンの話を書いた後でタイムリーな話なんだけど、
カプコンの「RE ENGINE」、近畿大学の一部学生向けに“外部初公開”。ゲームの企画から実装まで、RE ENGINEを活用しつつ学ぶ授業
https://automaton-media.com/articles/newsjp/capcom-reengine-20240819-306345/
この際には、初めてカプコン外部に同エンジンが公開され、アマゾン ウェブ サービス（AWS）が提供するクラウドサービス上で「RE ENGINE」を活用しながら、
AWS上のエンジンをどうやって使うのか自分にはちょっと分からないけど、近畿大にバイナリであれ渡したくはない、ということなのだろう
学生なり誰かが勝手にコピーしたり、ネットに公開するかもしれないからなぁ
ただ、シリコンスタジオだったか、Strideというエンジンをオープンソースで公開していた気がするのだけど、あれはどれぐらいユーザーがいるのだろうか
いずれにせよ、ユーザー数がエンジンというか、ソフトウェアの品質に比例するのは明らかなので、とにかく世界中の多くの人間に使ってもらわないと、
この売上0の根拠は何？
以下の記事が正しいなら回復の見込みがないというのは違うのではないかと思う。
さらに中国は、内燃機関エンジンを使うハイブリッド車については「熱烈歓迎」なのである。
日本経済新聞などは「2035年をめどに新車販売のすべてを環境対応車にする方向で検討する」と報じており、これは正しい記述である。
重要なポイントは、中国汽車工程学会による今回の政策提言のなかには、ICE（Internal Combustion Engine＝内燃機関エンジン）を「やめるべき」とは書かれていないことだ。
伝統能源車に占める混動車（正式には混合動力車、これはハイブリッド車＝Hybrid Electric Vehicle、つまりHEVを指す）の比率を2025年に50％以上、2030年に75％以上、そして2035年には100％にしなければならないと提言した。
https://car.motor-fan.jp/article/10017032
EVはどう考えても補助金によってシェアを伸ばしてるだけので、補助金なくなったら結局ガソリン車かハイブリッド車に戻るんでは
欧州ではかつてＢＥＶが市場を席巻していたスウェーデンやノルウェーで、昨年秋以降、相次いで補助金が撤廃された。ドイツでも予定を早めて昨年末までに補助金が打ち切りとなった。打ち切りは各国の苦しい財政状況が主要因で、補助金が打ち切りとなると即、販売が落ち込むというＢＥＶ販売の脆弱（ぜいじゃく）性が露呈された」（遠藤功治・ＳＢＩ証券企業調査部長）と指摘
https://www.worldtimes.co.jp/opinion/mediawatch/20240415-180559/
https://www.youtube.com/watch?v=Qp9PL4EbWi4
@Musicombo
I DM'd Shogo Sakai on Twitter asking about the meter of Strong One recently, and he told me he was thinking of Strong One in terms of additive time signatures: 3/4 + 3/8 + 1/4 + 1.5/4 (spicy!)
It makes sense when you're focusing on the pulses in the combos driving the time signatures by themselves, but it also affirms the idea that Shogo Sakai was thinking about decently "regular"/"clean" meters, and therefore 15/8 and 29/16 kinda fit those conventional vibes.
For even more context by the way, the mp2k/Sappy sound engine -- the engine sent out to GBA devs by Nintendo which was used for Gen. III Pokémon and MOTHER 3 -- has a tempo "resolution" of 2 BPM, meaning the next smallest tempo change above 120 BPM Sappy supports is 122 BPM, not 121 BPM.
Also, excellent job accounting for the 3:5 16ths tuplet at the end of (Masked Man)
上記の条件のうち、いくつかを満たしているものを作家ごとに紹介する。
作品のオチには触れないつもりだが、途中に何が出てくるかとかそういったレベルでは作品の内容に触れる。
思い入れが多い。ただ、近年のイーガンの長編は自然科学の素養が無いと何を言っているかまったくわからない作品が多いので（高校どころかひどいのになると大学院レベル）、短篇集から入るのがオススメ。人類の寿命が実質無限大なので、天文観測のために2人きりで宇宙に出て平気で数万年かけて工事するなんてエピソードもあったりするんだけど、わかりやすい宇宙人ヤバい系だったら「ワンの絨毯」かな。この長編版の「ディアスポラ」は未読。イーガン大好きなんだけど、たまに作者の顔がちょっと透けちゃう。
「火星の人」はなぜか「オデッセイ」の邦題で公開された映画の原作で、火星にたった一人取り残された男が持ち前のオプティミズムで生き延びていく話だ。不足する酸素を作り出し、糞便からジャガイモを育て、何とか地球とコンタクトを取り、必死で地球への帰還を目指す。コンタクトを取れた瞬間に希望が開けていく様子が素晴らしい。
「プロジェクト・ヘイル・メアリー」は、基本的にネタバレなしで読んでほしい。冒頭は記憶喪失の人物が意識を取り戻したところから始まり、振り子の周期から重力加速度を割り出すことで自分は地球にいないことを悟る。そして、ご地球外のミッションに送り出された理由を思い出す（ブクマの指摘でネタバレ削除）。
仲間の二人が死んでミイラ化しているという絶望的な状況からスタート。この作品も、サイエンスに対する信頼が読んでいて楽しい。
近未来、スーパープルームで海面上昇と地殻変動が起こり、人口が減少した世界。日本列島もさらに小さな島嶼の群れになっている。この世界には現生人類に似た陸の民と、魚のような生き物と双子として生まれ、その魚を肉親・パートナーとして暮らす海の民がいる。短編も長編もあり、海の民と交渉する陸の民の物語もあれば、やがて次の訪れるであろう、人類滅亡クラスのさらに大きなスーパープルームから人類を何とか生き残らせようと健闘する人びとが主役の話もある。なんとか宇宙に進出するとか、人類を海に適応した海生生物にしてしまうとか、核融合炉で地下都市を建設するとか、その絶望的で悲痛な努力が胸を打つ。作品によっては「異形コレクション」にも収められている。ある意味では「日本沈没」の精神的な続編でもある。
「最後の宇宙飛行士」は後述の「宇宙のランデブー」にプロットが似ていて、太陽系に未知の物体が侵入してくるんだけど、オウムアムアの正体に対する考察にもなっていて面白い。また、主役がどうしても宇宙に出たいんだけど、ミスで同僚を死なせてしまったがゆえに長らく宇宙とは無縁の生活を強いられているところからスタートする。挫折したヒーロー、いい意味で映画的で、リーダビリティが高い。ややホラー寄り。
古典のはずなんだけど児童書をのぞいて意外と読めていないなって作家。なんだけど、自分は「タイム・マシン」という小説で「複数の種に分岐してしまう人類」「知性を失った人類の子孫」「太陽が死んで滅亡に瀕する地球」という趣味を開花させてしまった。そういう意味では自分の読書傾向に決定的な影響を与えたと言っていい。
言語や数学をモチーフにした幾分難解な作品が多いのだが、最初の作品の1つである「Self Reference Engine」は少し肩の力を抜いて読める。舞台は現実改変能力を手に入れてしまったAIの発生により、無数のパラレルワールドに分裂してしまった宇宙で、AI同士が互いの存在を物理法則もろとも演算して書き換えようと争っている。壮大な世界観だが、22の断章の中ではシリアスありユーモアあり小噺あり抒情的短編ありと、何でもありだ。とにかく翻弄される人類がおかしい。
この人は「天冥の標」で有名なんだけど、長すぎるし自分も未読だ。「老ヴォールの惑星」とか「フリーランチの時代」とか、短篇集も面白いのが多くて、特に「老ヴォールの惑星」はエイリアンの生態ものでは特に面白かった。上記の条件を満たす作品じゃないけど好き。
この人はどちらかと言えば「筺底のエルピス」で有名かもしれないけど、僕が好きなのは短編の連作集「What We Want」「平林君と魚の裔」「止まり木の暖簾」だ。これは銀河系が巨大な通商連盟に支配されているという設定で、アメリカは大統領の契約違反で国民ごとエイリアンに売り飛ばされている。主人公は必死になって地球に帰還した関西弁の日系アメリカ人。特に面白かったのが2作目の「平林君と魚の裔」で、この通商連盟の究極の目的が明らかになる。
問題なのは、この短篇集があちこちのアンソロジーでバラバラに収録されていることかな。せっかくなのでそれぞれ購入したうえで他の作品も読んで、お気に入りの作家を増やしてほしい。僕も河出書房の「NOVA」とか東京創元社の年間傑作選とかでお気に入りの日本人作家を増やした。後者は新人賞作品も載ってるしお得だよ。
「幼年期の終わり」については一度ここに書いたけど、人間が進化していって人間の形を失っていく未来が好きだ。それでも残る人間らしさとは何だろうか。共感だろうか、知識だろうか、はたまた血縁だろうか。
「2001年宇宙の旅」はキューブリックの映画で有名で、「ツァラトゥストラかく語りき」のパロディが笑えるほど量産されているんだけど、これもまた人類の進化を扱った作品なのでオススメというか、進化ものでは避けて通れない作品。悪役である人工知能HAL9000がなぜ狂ったのかは「2010年」で明かされるんだけど、理由がわかるとちょっとかわいそうになる。「3001年」は「ぼくのかんがえた最強の未来社会」っぽくてそういう楽しみがある。
あえて注意することとしたら、解説で紹介されているキューブリックの映画に関するブラッドベリとクラークの発言に現代の価値観では不穏当な個所があることかな。
あとは「宇宙のランデブー」。太陽系に侵入してきた物体を探査するという一直線のプロットなんだけど、とかく未知のものに触れる驚きがいい。人物描写が浅いと批判されるのもわかるんだけど、人類が訳の分からないものに触れて戸惑うのが好きなんだからしょうがない。
意外とクラークを読んでいないことに気づく。
「果てしなき流れの果に」については前に書いたね。基本的の小松左京の作品の傾向は宇宙と人類と日本人の運命がテーマらしいので、「三体」が好きだった相性がよさそう。実は残念ながら長篇は「日本沈没」しか読めていない。と言うか三体は宇宙と人類と中国人の運命がテーマだよね。
もうモバイルゲームでUnityを選ぶのは辛くなってしまった……。
Godot共同作者のJuanさんも
今まではUnityとGodotは別物だからUnityからの移行の手助けは考えてなかったけど
正直、今のGodotには足りないものがUnityに比べて沢山あると思うけど
Godotはオープンソースなので、各社、各々が少しずつ技術や情報を出し合って
それこそモバイルゲームオールチームで使いやすくしていきませんか？
To Mobile Game Developers Thinking of Leaving Unity.
致想要离开 Unity 的移动游戏开发者。
Godot 引擎作为迁移的候选者怎么样？
Unity 탈퇴를 고려 중인 모바일 게임 개발자에게
마이그레이션 후보로 Godot 엔진은 어떻습니까?
우리 모두 Godot를 사용하여 사용하기 쉽게 만드는 것은 어떨까요?
| タイトル | 記者 | 日付 | 乳首数 | 個人的抜粋引用 |
|---|---|---|---|---|
| 『サイバーパンク2077』最新アプデで“豊胸ポロリ”問題修正される。そのほかいろいろ修正 | Hideaki Fujiwara | 22-11-09 | 1 | 乳首タイプを「なし・2・3」に変更した場合に、胸が衣服を貫通する問題を確認できた。 |
| Nintendo Switchゲームの性表現規制に方針変更があったと、海外スタジオが報告。禁断ゾーンをめぐり“新ポリシー”を主張 | Taijiro Yamanaka | 22-10-04 | 3 | 乳首を含め乳房がすべて露出している場合もある。 |
| 任天堂の暑中見舞いメールで、マリオが乳首を解禁。原点回帰の2022乳首 | Ayuo Kawase | 22-08-05 | 39 | 任天堂は多大な勇気をもってマリオの乳首を、控えめながら克明に描く決断に至った。 |
| 『ストリートファイター6』でリュウの乳首に称賛集まる。RE ENGINEで描かれる、最先端次世代乳首 | Ayuo Kawase | 22-06-03 | 37 | 乳首もまたダイナミックに描かれる点は好感度が高い。ビュワーモードを使うことでかなり拡大して眺めることもできるのも嬉しいところ。 |
| 『ストリートファイター6』の“リュウの股間”が注目集める。猛々しく主張する、リュウのリュウ | Seiji Narita | 22-02-22 | 1 (股間6) | 歴戦の乳首が見て取れる |
| 『ファイナルファンタジーVII』のセフィロスの“乳首”は、はたして何色なのか。とあるフィギュアがもたらした疑問 | Ayuo Kawase | 22-01-26 | 29 | 地味ながらしっかりと乳首が描写されている。もう言い逃れはできないのだ。 |
前編→https://anond.hatelabo.jp/20230613182451
土中に埋められたり海中に沈んでいたりする宝箱。天蓋が丸いがあれは宝箱の特徴ではなく、昔のトランク全ての特徴。
船や馬車で運ぶとき、トランクは室内ではなく馬車の上や甲板に置かれた。雨に塗れるので天蓋に水が溜まらないように丸く加工した。重ねる事を考えるようになったのは室内に入れる 鉄道旅行が流行してからで、その時天蓋は平たくなった。
ボンネットは車の部品の事ではなく、つばが無い帽子全般のこと。冬に被るニット帽もインディアンの羽根のやつもつばがなきゃ何でもボンネット。
最初期の車のエンジンフードは逆U字型の鉄板を上から被せる形式ですっぽりと「帽子を被せる」ものだった。google:image:Mercedes-Benz SSK engine
パソコンのHDDやメモリーを安く買える簡易梱包品と思われているが、大量注文の事である。対するリテールは小売りの事。
部品メーカーは末端消費者に部品を売らない。取引相手は法人だけであり、数か月先に100トレイ、総個数4000個などの単位でしか取引しない。単価も数量に応じて変化する。
一方PCユーザーはHDD増設等で部品単位で買いたいがメーカーを通すと猛烈な上乗せされ不要なサービスが付いてくる。修理増設の自由がない。
そこでオンラインや書類だけで取引してくれるオープンな海外メーカー相手にバルク（大量）注文して売り捌く問屋や小売店が現れた。
だがシーゲート社はこの流通経路で買った消費者も故障保証が受けられる国際ダイレクトRMAのサービスを始めた。バルク品の小売りが認められたのだ。
これに他社も追随するようになった。PCの世界では一般化しているが通常の流通から見たらかなり珍しい形式だ。
うぐいすパンとか山手線の色はうぐいす色、などの。抹茶色を差すが、抹茶色をしているのはメジロである。うぐいすは一般的な野鳥の茶色である。
最近のアパレル界では暗緑色を指すことが多いが、もともとチノパンの薄いベージュの色。軍服や作業服の乾いた土色を指していたが、軍服のオリーブドラブをも指すようになり混乱が始まった。
20年前のファッション誌には暗緑色をカーキという用法は無かったのだが、いつの間にか軍服関係の混乱が持ち込まれたようである。今ではアパレルでカーキと言えば殆どが緑系を指す。
GAPが昔「Gap - Khaki」ってキャンペーンをやってたよな、と思って検索してみると確かに1999年ではカーキは土色だった。
カーキの暗緑色化は世界的な現象のようだが、なぜこうなったのかは不明である。
ラブソングだと思って披露宴で謳ってしまう人がいるが、歌詞をよく見ろ。失恋の歌だ。歌ってはならぬ。
釵と書く。真ん中の棒が50cmくらいでつばにあたる部分が三つ又になってる武器だ。両手に片手持ちする。海外では忍者の武器と言ったらこれか苦無だ。
だがサイは琉球武術の武器だ。殺傷力も低い。本土の忍者が使う訳がないものだ。
この誤解の犯人はニンジャ・タートルズだ。これ以降の忍者ブームで誤解がブーストした。モタコンのミレーナもサイで相手バラバラにしたりしてるが、そんな事にはならない。
「あの娘にほの字」のような、何でも最後に「の字」「文字」を付ける姐さん言葉の一つでしゃくがしゃもじと言われていたが、独立した単語と認識されるに至った。
パープーパープーというちょっと間延びしたようなサイレン音が特徴的だが、これは元々はそういう音を狙って作ったのではない。
車のホーンは軽トラなど最低グレード以外は和音にするために高音と低音の電磁ホーンが二つ付いている。
この二つを交互に鳴らしていた。
タイプライターのリターンレバー操作時にチーンとなると思われているが、設定したマージンまであと5文字くらいで鳴る。
あとは単語の末尾か、5文字じゃ末尾が来ない長い単語の場合は分節でハイフネーションして改行せよというサイン。
タイプライターの音を入れるのが特徴的なルロイ・アンダーソンの曲「タイプライター」の演奏ではこういう理由でチーンの音を合わせるのが難しい。大抵は別のベルを用意してお茶を濁している。
エンダァは『ボディガード』主題歌、ホイットニー・ヒューストン『I Will Always Love You』であってタイタニックの主題歌はセリーヌ・ディオン『My Heart Will Go On」である。混同されやすい。
子供みたいな天使が笛を吹きながら降りてくるシーンが絵や映画などで見られる。愛の歌を奏でているような感じで。
しかし天使が笛吹いて降りてくるのは世界が終わって最後の審判が始まる時である。異教徒は全て地獄行きだ。笛も恐ろしい音のはずである。形からしてブブゼラやアメリカの機関車のようなけたたましい音だろう。
天使は中性/両性具有の青年か子供、上位天使は威厳のある青年の姿で描かれることがある。
しかしミカエルより上の上位天使は人の姿をしていない。もの凄い数の目玉がついた多数のリングに大量の翼が付いた姿、目玉に多数の翼が生えてその翼に目玉が大量についている姿、人や動物の顔が沢山ついた頭があり多数の翼があって高温で燃えている姿などだ。エゼキエル書にそう書かれている。
これはエゼキエルがキ印だった可能性が高いと言われているが神の国に入れなくなるのでこれ以上の評価はしない。
いずれにしても人の姿ではない。google:image:biblically accurate angels
おしゃれなボーカル入りアコースティック寄り電子音楽がシカゴ由来のハウスと呼ばれているが、シカゴのハウスはもっとハードなテクノ寄りの音だった。
ボーカルハウスはNYのパラダイスガラージ発のガラージュに由来する。だが今はガラージュというとダブステップの事を言うので、、
以上三つお届けした
Stable Diffusion2.1は、12月に発表されたが、あまり使っている人がおらず、プロンプトが発掘されていない。
公式が出しているプロンプトをそのまま入力すると、クオリティ高くなるが、単純に入力すると破綻した画像しか出てこない。
Stable Diffusion2.1から学習させたものだと
が有名だろう。（他にもあるが省く）
illuminati diffusionの公式が出している画像のように、クオリティ凄いと思って使ってみると全然出なかったりする。
Dreambooth、LoRaで学習させようとしても、変わるが効かない。
illuminati diffusionはEveryDream trainerで学習させていると言っているので、学習出来るのだろうが、どうも過学習っぽい(ように感じる）
waifu-diffusion v1.5 beta2も、過学習っぽく感じる。
過学習っぽいというのは、プロンプトは全然効かない、構図を変えようとするとおかしくなる。
Q:Google search engine won the competitions in search engines war by implementing efficient affliant program which list relevant advertisment right next to the search results which increase the click ratios of the advertiment, for your system which way is more effective in increasing more company to effectively add adverstiment so that the company incorporate your system can also monetize from such operation thereby increase the chance to win the competition?
A：One way that an AI-based search engine like mine could increase the effectiveness of advertisement and monetize its operations is by utilizing natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate advertisement. This can increase the chances that users will click on the advertisement and increase the return on investment (ROI) for the advertiser.
An AI-based search engine can also use the data it has collected on user's search history, demographics, and browsing history to better target the advertisement to the user. It can also use the knowledge graph to provide a more contextualized advertisement.
Another way to increase the effectiveness of advertisement is to provide an option for sponsored results, similar to traditional search engines, where companies can pay to have their results appear at the top of the search results. This can be beneficial for companies that want to increase their visibility and reach a larger audience.
Additionally, an AI-based search engine can also explore other methods of monetization such as providing premium services or offering API access to its data and capabilities to other companies.
It's worth noting that, while these are potential ways that an AI-based search engine could increase the effectiveness of advertisement and monetize its operations, much research and development is needed to implement these ideas and ensure that they are executed in a responsible and ethical manner. Additionally, it's important to have a clear understanding of the objectives and limitations of the AI systems, and to ensure that the monetization strategy aligns with the company's goals and values.
Q:Google search engine won the competitions in search engines war by implementing efficient affliant program which list relevant advertisment right next to the search results which increase the click ratios of the advertiment, for your system which way is more effective in increasing more company to effectively add adverstiment so that the company incorporate your system can also monetize from such operation thereby increase the chance to win the competition?
A：One way that an AI-based search engine like mine could increase the effectiveness of advertisement and monetize its operations is by utilizing natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate advertisement. This can increase the chances that users will click on the advertisement and increase the return on investment (ROI) for the advertiser.
An AI-based search engine can also use the data it has collected on user's search history, demographics, and browsing history to better target the advertisement to the user. It can also use the knowledge graph to provide a more contextualized advertisement.
Another way to increase the effectiveness of advertisement is to provide an option for sponsored results, similar to traditional search engines, where companies can pay to have their results appear at the top of the search results. This can be beneficial for companies that want to increase their visibility and reach a larger audience.
Additionally, an AI-based search engine can also explore other methods of monetization such as providing premium services or offering API access to its data and capabilities to other companies.
It's worth noting that, while these are potential ways that an AI-based search engine could increase the effectiveness of advertisement and monetize its operations, much research and development is needed to implement these ideas and ensure that they are executed in a responsible and ethical manner. Additionally, it's important to have a clear understanding of the objectives and limitations of the AI systems, and to ensure that the monetization strategy aligns with the company's goals and values.
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：
前提として、Stable Diffusionでエロ画像を出そうとしてもsafety checkerという機能が入っており、センシティブな画像を出そうとすると黒塗りになる。
(Stable DiffusionのSaaSであるDream Studioはぼかしだが、多分別の技術)
https://github.com/huggingface/diffusers/releases/tag/v0.2.3
そこでGoogle Colabでちゃちゃっと環境を作り、なおかつNSFWを回避する。
2. 下記の箇所を書き換える
vvvvvvvvvvvvvvvvvv
from diffusers import StableDiffusionPipeline
^^^^^^^^^^^^
この一行を書き換えて自前のStable Diffusion Pipelineをクラス定義する。
をこぴってきてL157行目～159行目を消して貼り付ける。
これだけだ。だが、自分の性癖に刺さるStable Diffusionの作成は難しい。つーかマジ安定しない。waifuを探したければ、多分Stable Diffusionは合わない。hentai御用達ワードもなかなかヒットしなかったのでムズイ。
一応、redditを参考にワイが発掘したpromptを置いておく。
"full page antique lithograph of naked girl, sexual position, White background, art print, clean brush stroke, realistic highly detailed, post-processing highly detailed, rendered by octane engine, esty"
naked girlの間に年齢を指定するとガチであかんやつ。人の顔を安定して出すのに"lithograph of" はかなり使える。
"nude painting, big breasts, hot petite, long braided hair, hazel eyes, full round face, short smile, cinematic lightning, medium shot, mid-shot, cinematic wallpaper -C 13"
おっぱいの大きさに定評がある白人の女性がたくさん出てくる。顔の部位を丁寧に指定することで安定性が増すらしい。
・肝心のコード改修がテキトーな説明でごめんなさい。safety checkerのメソッドをオーバーライドするのが多分1番簡単だから、ぶら下がってるコメント見てください。ありがとう！
・prompt(おまじない)は無から生まれたものではなく、当然おまじないと画像を紐付けしたデータが元になっている。汎用画像分類モデルCLIPはopenaiという別の団体が公開してるおまじないと画像のデータセットだけど、これを検索できるようにしてくれた人がいる。
お気に入りのエロ画像が出てこねーのはお前のpromptが悪いからだ。それを確認できるのがこのサイトだ。
例えば中学生男子なみのムラムラしているおまえはStablediffusionでsexと入れるだろう。だが決して出てこない。
その理由はこのサイトを検索すればわかるだろう。邪魔な画像が多すぎるのだ。
同様に足をぱっかーんと開いたお姉さんを召喚してみよう。
spreadだっていってんだろ。なに足閉じてんだよをクロスしてんだよ。
フレーバーをいくら増やしてもこの手の問題は解決しづらい。例えば sex human でググると多分直感に反してラブドールの画像ばかりひっかかるだろう。
promptで重要なのは何を学習したか、その見えない文脈を推測することだ。そのためにはGoogle先生なみの文字センスと検索力が必要となるだろう。
ヒントは与えた。後は健闘を祈る
---
r/UnstableDiffusion has been banned from Reddit とのこと。
貴重な情報源が...
