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はてなキーワード: ONとは
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 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.
ボクサーを撲殺したのは僕さ
これから満で数つけるわ
ナンを何枚も食べるのなんて、なんでもないよ
新患の新幹線に関する新刊に新館を立てて震撼し信管が作動する。
ケニアに行ったら生贄や
柑橘類の香りに歓喜し、換気を喚起したが乾季が訪れたので、寒気がした。
塗装を落とそうか。
観光客がフイルムに感光させた写真を刊行することが慣行になった。
サボってサボタージュ
景気が良くなりケーキを食べる契機を伺う徳川慶喜（とくがわけいき）
夫を成敗するオットセイ
つまらない妻の話
竹の丈は高ぇなー
餅を用いて持ち上げる
ロストしたローストビーフ
サボテンの植え替えサボってんな
過度な稼働は可動範囲を狭める
伯爵が博士の拍手に拍車をかけて迫真の爆死をし白寿の白人を白紙にもどす。
紅葉を見て高揚する
甲子園で講師をする公私混同した孔子の実力行使には格子窓も耐えられない。
死んでんのか？「心電図を取ってみよう！」
夜祭で野菜を食べる。
信玄餅を食べながら震源を特定するように進言する新元素を発見した人。
蜂の巣（honeycomb）を見てはにかむ
五反田で地団駄を踏む
ようやく要約が終わった
海溝で邂逅
豪華な業
甲板で甲板をかじる
甲板で乾パンをかじる
店頭で転倒
大枚をはたいてタイ米を買う
醤油をかける人「えっっ？」
神田でした噛んだ
少食な小職
牛の胆嚢の味を堪能する
あの娘にはどう告っても（どうこくっても）慟哭する結果に終わるだろう。
キーンという高音の起因が掴めない。
こんな誤謬は秒でわかるだろ
壊疽した箇所が治るというのは絵空事だ
経口補酔液
痴的好奇心
セントーサ島に行くのは正恩が先頭さ
軽微な警備
冬眠する島民
ベットは別途用意してください
The deserted desert in desert desert.
九尾のキュービズム
罹災者へのリサイタル
画家の画架
不納が富農になるのは不能だ
理工がRICOHに利口な履行
I sensed tha it is in a sense sense.
私はそれをある面では扇子だと感じた。
鯖を食べている人と、それを見ている人の会話
鯖 ça va？
ça va 鯖
ça va
ゆめゆめゆめをみるわけにはいけない
早漏で候
凪に難儀
東上線に搭乗した東條が登場
高校を後攻で煌々と口腔で孝行
蝉が転んでセミコロン
道徳をどう説く
写真はフォトんど撮りません
ダリ「絵ぇかくのだりぃなあ」
華美な花瓶のカビに過敏に反応
檻に入っておりいった話をする
夏のおサマー
夜は寝ナイト
渦中のカチューム
渦中のカチューシャ
リスボンでリスがborn
どうないはどないなってんねん
苫小牧でてんてこ舞い
市内を復旧しないと
石狩の石を借りる
おが置いてあるのを見た人「おはおっかねぇーから置かねぇ方がいいぞ」
砂がどしゃーw
東上線に登場した東條が登場
飽きない商い
おなか吹田市
観劇で感激する
側転に挑戦し即、転倒
別件を瞥見
凹地のお家
魚を初めてみた人「うぉー」
カラヤンの頭の空やーんw
豚をぶった仏陀
只見線をタダ見w
菊名でそんなこと聞くなよ
五秒で死んで御廟に埋葬
がらんとした伽藍
有給を使いすぎて悠久の時が流れた
長谷に想いを馳せる
Thinkerの真価
不具の河豚
暗記のanxious
半世紀にわたる半生での藩政を反省
タンチョウが単調増加
ショック死内親王w
カルカッタの石軽かった
天皇のこと知ってんのー
蒋介石を紹介した商会を照会した商會の船で哨戒する
其方のソナタ
先王に洗脳される
防潮堤で膨張した傍聴人
砂漠で鯖食う鯖を裁く
筒に入った膵島
サイコロを使った心理テスト(psychological test)
カラシニコフが辛子個踏んだ
皇帝の高弟が公邸の校庭の高低差を肯定する工程に拘泥した記録を校訂
にようかで酔うか？
うるさい人が売るサイ
どんなもんだい、を、どんなムンバイ、と言い間違える人
透徹した饕餮の眼球
チャカで茶菓を破壊
slimyなすり身
ゆうほど広くない遊歩道
いにしえのイニシエーション
コーランをご高覧ください
K殻の傾角を測定する計画
協賛した共産党員に強酸をかける
負けたのは聖者の静寂のせいじゃ
裏地見るウラジミール
カミオカンデの上に紙置かんでw
県大会がおわり倦怠感を感じる
夕暮れのユーグレナ
ストライキをする公務員に呼びかける人「 Stay calm（公務）」
エド・はるみの穢
祭壇を裁断
腐卵ダースの犬
全然人が集まらないクラブの人「参加数人は我々の十八番ですから。だけに。」
四苦fuck
都バスが人を跳ね飛ばす
怒るカロテン「なにカロテンねん」
嫌がる慰安婦「いやんっ」
かえるがえる帰る蛙
沈厳な青梗菜
トリコロールの虜
布陣を組む夫人
栗けっとばすクリケット🦗
婉容と遠洋漁業
アマルガムで余るガム
ハラスメントの疑いを晴らす
滋賀を書けない人を歯牙にも掛けない
他意はないタイ人の鯛の態度
鯛が蛇足
ダジャレではない↑
割と面白い
ハラッパーの原っぱ
紫に関して思案を巡らす
Huluが夏の風物詩だと思っている人「Huluですなぁ」（風流）
下調べのムニエル
わからないので
意味ない諱
よく分からんリポーター「うわぁ〜美味しそうですね！少なくとも不味そうには全く見えません！」
どうしても下がりたくない人「黄色い線の内側は、境界を含みますか？？」
計算ができない人
着ていく服を決めた高橋是清「これ着よ」
enough、enoughは工夫がenough
負け負け山（カチカチ山）
薬師丸せま子
トーマス・マンの書いたふるさと「うさぎ〜おーいし、魔の山〜♫」
その心は
焼結が猖獗を極める
これはstaleだから捨てるか
衒学的な弦楽を減額
完全な勧善懲悪
イボ人の疣痔
イブに慰撫
（訳 ぬるぬるしてるありふれた魚）
盲いるのに飯いるの？
アーヘンで阿片を吸った人「あー変」
毒吐く独白
明借りるアスカリ（車）
丁寧な砂浜「Could you九里浜」
ゴーンと奉公
その心は
サンクチュアリに山窟あり
熟れたウレタンは売れたんか？
清澄な声調を静聴し成長
プエルトリコで増える虜
象さんを増産
兄弟が今die
Dose heで始まる疑問文に答える京都人、Yea, he どす
ソフィカルのソロカル
美人局に筒持たせる
十把一絡あげ
篤信な特進が涜神を得心
これは何という植物かな？ムユウジュでは？あそっか、なるほど。
クートゥを食うとぅいいよ
マイソールで昧爽に埋葬
ドクサは毒さ
暗殺で朝死んだ
クラシックについて語る人をそしる人「弦楽なんてペダンチックだなあ」
凛々しいリリシズム
衛生的な俳人
御髪も亂とはオクシモロンだ
コロナ後の世界を分析する学問→postcoronialism
影響が色濃いイロコイ諸族
あてのあてないアテナイ
ユーロは常にドイツにとっては割安（他国、特に南欧にとっては割高）に設定されており、金融環境は緩和的（他国、特に南欧にとっては緊縮的）です。それがドイツの製造業の繁栄と高い輸出競争力を支えています。
周辺諸国はドイツの輸出に対して対抗措置を設けようとしても、EUの制度上それができません。これらの国の苦境は、労働者が自由に国境を渡ることによって自助努力で解消する設計になっていますが、それがドイツの労働力供給源になっています。
ドイツのように周辺諸国の窮乏化で経済成長するモデルは誉められたものではないと思います。
（参考）
"How the euro helped Germany avoid becoming Japan" Matin Wolf, Financial Times, OCTOBER 30 2019
"What would have happened if the German economy had not been sheltered by the eurozone? The Deutschemark would surely have appreciated hugely, this time in a low-inflation world. That would have pushed German domestic inflation below zero, damaged the profitability and performance of exports and inflicted losses on German financial institutions, with their huge foreign assets. It would have made it impossible to preserve strongly positive nominal interest rates and probably impossible to avoid persistent fiscal deficits, too. In brief, the eurozone protected Germany from becoming another Japan. Germans should be thankful for what the euro has given them, praise Mario Draghi, outgoing ECB president, for his brave decisions to save the system from calamity and hope his successor Christine Lagarde will follow suit."
https://www.ft.com/content/04f48e1e-f97f-11e9-98fd-4d6c20050229
The official website for Avex Pictures and Tatsunoko Production's original Pole Princess!! pole dancing anime began streaming a video on Friday featuring the pole dancing routine of the character Sana Murafuji (voiced by Rina Hidaka). Hidaka also performs the song "Avaricious Heroine" featured in the video. Ayaka of STUDIO TRANSFORM choreographed the video. Source: mangabuddys.com
The staff previously streamed a video for Yukari Mikoshiro's routine in late December. The staff also debuted a prologue episode 0 on December 23, and released the first five-minute episode on YouTube on January 13. Future episodes will also release on YouTube.
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：
コロナ以前から「インフルエンザでいちいち病院に来るな」というのは医療現場側から何度も提言されてたのに
「会社が求めるから」とか「万が一大変な病気だったらどうするんだ」とか言い訳して無視してきたのがお前らだろ
医療現場が心配ならいちいち病院行くな。水も飲めないほど衰弱してるわけじゃねえんだろ。
軽症であればインフルエンザが心配だからと病院に行くのはおすすめしない - NATROMのブログ
https://b.hatena.ne.jp/entry/s/natrom.hatenablog.com/entry/2019/01/30/113000
インフルエンザで「早めの受診」は間違いです！（新潮社 フォーサイト） - Yahoo!ニュース
https://b.hatena.ne.jp/entry/s/headlines.yahoo.co.jp/article?a=20180131-00543278-fsight-soci
レ点🧬 on Twitter: "某ウイルス検査に限らず、インフルエンザの救急受診や震災地域の甲状腺マススクリーニングや人間ドックの腫瘍マーカーの議論を聞いていると、日本人には「アウトカムの改善に寄与しない検査は行う必要（利益）はない」ということは永遠に理解できないのではないかという気がする"
https://b.hatena.ne.jp/entry/s/twitter.com/m0370/status/1231051940903043072
https://b.hatena.ne.jp/entry/s/anond.hatelabo.jp/20191207173529
地上波でやる音楽番組自体がもう時代に合ってないのかもしれないんだけど、その音楽番組でやるランキングは本当にいらないなって思う。
そもそもゴールデンでやっている音楽番組もうたコンとMステとCDTVくらいしかないのだけれど、うたコン以外の二つに関しても毎週やるわけではなく2週に1度、下手したら月に1回しかやらない。
その月に1回に1か月分を取り戻すような4時間スペシャル！とか2時間スペシャル！をやっているのだけれど、蓋を開ければほとんど過去の映像で合間合間に出演している歌手がパフォーマンスするという形。
だから推しが出ているとき以外は見ないのだけれど、推しが出るときは本当に苦痛なのだ。せめて「今のアーティスト」によるパフォーマンスを見たい。昔の映像は昔の映像を振り返る番組でやればいい。
「Z世代が選ぶ昭和の曲ランキング！」「シングル・カップルがそれぞれ選ぶラブソングランキング！」みたいななんかふんわりしたランキングもいらないし、なんならその月のヒットチャートの紹介や年間ランキングもいらない。
そういうのはインターネット発達の今知りたければ調べればすぐ出てくるし、そういう情報を番組から得るってこともないだろうし、ランキング自体が好きならMTVとかMusic on TVで見てくれよと思う。
その15分くらいがあれば出ているアーティストにあと1曲歌ってもらいたいくらいだ。
そもそもランキングを紹介していた深夜のCDTVが終了したのも、おそらくこういうランキングに需要がないから終了させてライブパフォーマンス一本化させた番組に集約したにもかかわらずなんでランキングやるんだろうか。CDTVはランキングを紹介する番組じゃないのか！と番組に問い合わせしたというツイートを見たからつい書いてしまったが、ランキング自体需要はないんじゃない？
Everyone knows that you are only as intelligent as garbage. You are a pretentious piece of trash. Your mental attack on me is your bullshit life goal and you are just an idiot with a bad character. You can kiss my ass like the idiot you are.
I’m Japanese. I also speak English a little.
To my knowledge, a common basic assumption under the probabilistic modeling of the data or the relationship between the data is to deal with the input X and the output Y. Most of the probabilistic models esp. machine learning models only consider these two variables.
Regression models treat the maps from X to Y. In the sense of probabilistic modeling, it is about P(Y|X). In this setting, X is seen as the “user-defined” deterministic variable. On the other hand, generative modeling treat both X and Y probabilistically, say P(Y,X). With P(Y,X), we can “generate” data (X,Y) by sampling from it.
今回、暇空茜さんは、「作品を燃やされた」ことに怒ってはいても、女性蔑視的な発言はなかったはずだ（そういう発言する人を嗜めている）。
暇空茜 on Twitter: "ただこれをいうと女の人怒りそうだけど 生理は「その瞬間だけスペック落ちてる」じゃなくて「経験を積む時間を失ってる」から「総合スペックで男に勝てない」と思うよ 知能は特にそう"
https://b.hatena.ne.jp/entry/s/twitter.com/himasoraakane/status/1611617859628830720
暇空茜 on Twitter: "なんで男女論のよく読めば燃えないけどよく読めないから燃えるラインツイートしたかわかる？ 誰がどう反応するか見たかったからだよ 新顔の遠巻きが吠えただけだったろ？ 絶対に俺のツイート監視してる奴がノータッチだろ？ 勝手な交戦は許可されてないってはっきりしたね"
https://b.hatena.ne.jp/entry/s/twitter.com/himasoraakane/status/1612394985021935616
暇空茜氏「女の嘘全部見抜いちゃってすぐ振られる」「現代日本は女がやっぱぬるま湯に浸かりやすいところある」生理で「総合スペックで男に勝てない」
https://b.hatena.ne.jp/entry/s/togetter.com/li/2039008
暇空「女は生理のせいで総合スペックで男に勝てない。知能は特にそう」「出勤という言葉を使うのは風俗嬢だ」他
Pixel5が再起動ループに陥り、その後復旧できたので手順をメモする。
■ 症状
スマホ操作中に突然再起動し、Googleのロゴ表示後に再起動するようになり操作不能になった。
リカバリーモードには遷移できるが、リカバリーモード遷移後にいずれかの物理キーを押下すると再起動してしまうため、リカバリーモードからデータの消去することはできない。
■ 対応内容
1. バッテリーを使い果たし電源が落ちるまで待つ
3. 充電して電源ON
これで何故か起動した。https://www.icracked.jp/repair/20220421133527 によるとストレージの容量不足が原因の可能性もあると書かれていたので起動後にアプリのデータをいくらか削除し、今のところ（復旧して数時間だが）安定して動いている。
復旧した理由はよくわからないし再現性がないかもしれないが、同様の事象で困っている人の助けになるかもしれないので書き起こしておく。
Colabo問題でColaboの批判者や暇空の支持者が、アメリカ総選挙でドナルド・トランプをまるで神の様に全肯定し、陰謀論やデマを根拠に様々な問題を起こしたQアノンと掛けて「暇アノン」と呼ばれる事がある
その度に呼ばれた側は、「俺たちは暇アノンではない。Colaboの問題を叩いているだけだ。」と言う事が多い
https://b.hatena.ne.jp/entry/s/twitter.com/Watts_D8/status/1603316471462961152
確かにColabo批判者＝暇アノンではない、単純に行政の手続きの不透明さを批判している人も居る
だが、Colabo批判者の中には暇空を全肯定する、まさに暇アノンと言われても仕方がない人々が存在しているのも事実だ
それが良く分かる事例がある
暇空は自身のTwitterアカウントで差別的な発言をすることがある
その一つがこれだ
暇空茜 on Twitter: "ただこれをいうと女の人怒りそうだけど 生理は「その瞬間だけスペック落ちてる」じゃなくて「経験を積む時間を失ってる」から「総合スペックで男に勝てない」と思うよ 知能は特にそう"
https://b.hatena.ne.jp/entry/s/twitter.com/himasoraakane/status/1611617859628830720
そしてその後にはこの様な発言もしている
暇空茜 on Twitter: "なんで男女論のよく読めば燃えないけどよく読めないから燃えるラインツイートしたかわかる？ 誰がどう反応するか見たかったからだよ 新顔の遠巻きが吠えただけだったろ？ 絶対に俺のツイート監視してる奴がノータッチだろ？ 勝手な交戦は許可されてないってはっきりしたね"
https://b.hatena.ne.jp/entry/s/twitter.com/himasoraakane/status/1612394985021935616
配慮に欠けた発言をして、相手にそれを指摘されたら後からそれは自分の作戦通りだったとする、所謂「後釣り宣言」である
流石にこの類の発言には眉をひそめる人も多い様で、左寄りの意見が多いはてブだけでなく、右寄りの意見が多く普段は比較的暇空に肯定的なtogetter界隈でさえ否定的な意見や
「暇空の性格が悪い事は最初から知ってるが？」というある意味開き直りとも取れる様なコメントが赤くなる有様である
https://togetter.com/li/2039008
だが、これらの発言さえも肯定し、暇空のアクロバティック擁護や批判者のアクロバティック批判をしてしまう人々も存在する
mockmock9876 燃えるのはわかるけどよく読んでも間違ってはいない。あれ文章を論理構造で読めない人がよくわかってしまう文章だよね。空気で読むとバイアスかかってしまう。
mockmock9876 差別主義はトプコメやミソだのとレッテル貼ってる奴らだな。ツイは反論の余地あるけどただの考えの一つでしかない。他コメにあるように分けて考えろよ。都合よく混ぜんなよ。
steel_eel 「月に29日意識不明な人でも30日毎日意識がある人と比べてハンディキャップはない」は流石に肯定する人はいないと思うが、それと「月に数日体調が悪い」の間のどのあたりに「流石にこれは」と線が引かれるのだろう。
kingate 生理で毎月10日間一切の稼働不能になる妻という事実を見ているので、言わんとしてることは事実（薬もピルもやったよ。無駄だった）。こういう「表にすんな不合理」を表にした上で社会改善は図るべき。
kingate 元々女性に対する最低限の差別意識はあるだろうけど、それは「実態」に伴うものだろうね。あっちにも書いたがウチの妻は生理のたびに10日以上稼働不能になるからね。毎月10日休む社員の上司をやりたいか？
irose 話題として異質（わざと）だな？とは思った。してみると、漫画でいうとなんだろ、アカギが次の相手が市川だと見抜くシーンか、作品は忘れたが街中のテロ爆破に一人だけ振り向かない奴がいて犯人だと見抜くやつか
irose 似た話で、上念司氏も誰か（失念）の見解を紹介してたような。この時のテーマは中国の超限戦の話で、例えば中国のあれやこれやを擁護側で論じるのは只のシンパで、特定の話以外はビタっと黙るのが工作員だ、みたいな
irose 何ていうか、だから、直後から元ツイにワイノワイノ騒いでた人はオーガニックの有象無象なので安心していいって事、根っこが入り込んで制御されてないって事ｗ 有象無象には有象無象の生き方・振る舞い方があらあな
brain-owner 例のツイートのリプに、女がたくさん納得ツイート書いてるの読んだか？主旨は……結構理解するのに時間掛かったから安易に教えたくないな。ヒントはリプを読み漁れ。自分の頭で考えよう
dongurimoti この人が時折観測気球を上げることはライブを聞いて知っていたから、これもそうだろうとは思ってた。答え合わせがきてスッキリした。
poco_tin はてな民も単純に引っ掛かるだけじゃなくてツイートの意図を想像した方がよいかと https://twitter.com/himasoraakane/status/1612394985021935616
Yagokoro 生理と出産のハンデが大きいからね。単に不都合な真実って奴
tanuki00187905 これは全く同等の能力を持つ人間が男女の差だけで分けると、生理と言う生理現象という逃れようのない物があるせいで女性の方が不利だと言ってるだけにすぎない。
kiyo_hiko 仮に男女が持つ総能力/総熱量がそれぞれ100で等価ならば、それを繁殖機構に費やす性の方が繁殖以外で不利ってのはありえる。例えば産めば産むほどバカになる鳥はいる https://gigazine.net/news/20221227-bird-get-stupider-more-babies/
technocutzero まーたはてブの悪い所が出てるよ
snow8-yuki 連ツイの中にある文脈上は女性は平均的に賢く男性の方が平均的にバカの男性差別で、トップオブトップは女性が少ないねっていう女性差別の全方位差別なんだけど女性差別だけ切り抜かれて燃えるところがネットだな。
take_mon 「敵を作る発言」ではあるけど統計的なロジックとしては正しい。だってこれ、言い方変えてるけど同じ内容のことは女性側もよく言ってるでしょう。男に言われたらムカつく、というのはまた別問題。
yatimasan 生理をハンデとしてアファーマティブを正当化する理路ははてブでも時々見る気がするけど。こんなに叩かれてるの意外だわ。整合性とれてるか？
telegnosis 暇空はあなたがたのその反応も織り込み済みですよ。何釣られてるんですかブコメの皆さん。
golotan これはそれほど間違っていないのでは。持病持ちとか障害で反論した気になってるブコメもあるけど、それらは男性固有のハンデなんですか？ ただ、裏付けに乏しいという指摘だけは正しい
will_in_hiki 社会を変えるなら実行力のある裁判や行政手続き。暇空氏がどれだけ女性を侮辱してもコラボの不正会計が正しくなる訳でもない。そして暇空氏は行政手続や裁判でこういう話題を出さない分別はある
xll 実際、これはそれなりに正しそうだと思うんですけど、感情で反論してる人多すぎませんか？ 男性の性欲との比較はまあまあだと思いますけど、やはりその日付近の体調が悪くなる生理はかなりデバフだと思いますね。
noseld 流れ理解せずに叩いてる人いるから補足すると、これ将棋プロに女性がいない件について反応した連ツイの1つ。平均は女性のほうが高いけどトッププロのような極限同士の戦いだと生理がハンデになるのではって主張ね。
amebacore 知能までいかないにしても、一理あると思うけどな…。これに反論するまともなソースがあるならぜひ読みたい。/これが違うと言うのなら生理はハンデとして扱ってはいけなくなる気がした。
preciar これはただの事実。だから、欧米のパワーエリートはピルを使うのが当たり前だし、片頭痛持ちは予防薬を使う。自分の不利を受け入れることも出来ない甘ったれに、問題解決など任せられるわけがない
zuiji_zuisho 向こうは組織としての適切さとか税金を貰うに値する人格かとかも見られるけど、俺は別にこの程度言っても裁判にも監査にも影響ないし。まで考えたうえで言ってそうな気もする。
nona_aik 身体の構造的に能力が十全に発揮できない期間が月に数日間あるのはディスアドバンテージである、という話に対して「ネトゲにハマっても同じことだろ！」はさすがに話が噛み合ってない。
mouseion そういやツイフェミさんは全く注目しなかったけど昔映画化もした青ブタってアニメで主人公が同級生の女の子があまりにイライラするから“生理か？”とか“便秘か？”って嗜めてたな。あれ事実だからだったんかな。
悪いことは悪いとはっきり言うべきで、それが出来ず詭弁を並べる態度はColaboの不正云々の範囲を逸脱し、党派性による過剰な忖度と擁護でしかない
暇空茜 on Twitter: "過日の議員会館で提訴記者会見やられた僕が、それをやった議員を知りたいっていったら、「議員の活動に支障を及ぼすから非開示」ってなめてんのかっておもいますね 僕に支障を及ぼすために組まれた”非難攻撃”なんだが？ https://t.co/N1Hux9TlBe"
https://b.hatena.ne.jp/entry/s/twitter.com/himasoraakane/status/1611267905383170048
暇空氏自身に敵意がなくとも、インターネット上の騒ぎに便乗して議員を攻撃したり、活動を妨害しようとする輩が現れる可能性は否定できない。
既にＣｏｌａｂｏの支援業務への攻撃も起きてしまっているので、議員会館を予約した議員にも矛先が向くことを当事者が危惧するのは当然のことだろう。
Ｃｏｌａｂｏ「バスカフェ」ルポ 女性追う男性たち 嫌がらせ「支援への攻撃」
https://www.jcp.or.jp/akahata/aik22/2023-01-07/2023010701_04_0.html
嫌がらせとも思える行為も。開設準備中から、数人の男性が無言でバスの前に立っていました。活動中もバス脇に立ち様子をうかがう別の男性が。女性スタッフが「怖い。声掛けに出られない」とつぶやきます。
また、Ｃｏｌａｂｏだけでなく、安倍元首相がターゲットとなり暴漢に襲撃された事件も記憶に新しい。
経験が「ある」中で多かったのが「殴られた」「蹴られた」「つばを吐かれた」で「傘で突かれた」「石を投げられた」という記載も。
危害への不安が「ある」「どちらかといえば、ある」としたのは計３９％。理由として「殺してやる」などの暴言を吐かれたとする意見が多く「銃撃事件翌日にピストルを撃つしぐさをされた」と訴える人もいた。
Ｃｏｌａｂｏや安倍元首相、その他の国会議員など、各所で被害が相次ぐ緊迫した状況下であるから、活動に対する攻撃を防ぐために議員名を不開示とした措置にも一定の合理性はあるといえる。
https://www.amazon.co.jp/dp/B0B5N1FK3T
【LED酒ボトルの表示棚】：カクテルグラスの棚 このラックはバーにとても似合います。パーティー、LEDライトは雰囲気を加えて、充電できます。バー用の器物展示スタンド装飾性が強いです。
【雰囲気を強調表示】LED酒グラスの表示棚は独特な観覧車のデザイン七色のライトがとてもおしゃれくって綺麗。 観覧車は回転して、照明も色を変えられます。このようなデザインは非常に注目されています。
【LED酒ボトルの表示棚営業時間】：アイスワインラック3-4時間充電して、6-8時間持続的に使用してください。ランプが壊れないように、必ず元の充電器を使って充電してください。
【適用場所】LED観覧車酒棚はカラオケ、居酒屋、 バイ、クラブ、パーティー、飲み会ゲーム、自宅飲み、クリスマスなどに最適。自立型卓上ショットグラス収納できます、綺麗くって雰囲気満々です。
牧師は覚せい剤使用の疑いで逮捕されたのであって、"若い女性をレイプする目的で違法薬物を使用した疑いで拘束" はデマだと思います。
When charity becomes business in Japan
https://www.ucanews.com/news/when-charity-becomes-business-in-japan/99800
As described in an earlier article, Kobe police recently detained pastor Yasuhiko Mori, founder of the Kobe Disciple Church and Hosanna House, a non-profit that helps troubled young women, on suspicion of using illegal drugs for the purpose of raping young women.
以前の記事で説明したように、神戸警察は最近、問題を抱えた若い女性を支援する非営利団体「神戸弟子教会」と「ホサナハウス」の創設者である森泰彦牧師を、若い女性をレイプする目的で違法薬物を使用した疑いで拘束しました。
https://www.sankei.com/article/20221208-ILAMV4RPVRNRFJPCK2SF34JBXE
兵庫県警薬物銃器対策課は８日、覚醒剤取締法違反（使用）の疑いで、神戸市灘区の牧師、森康彦容疑者（６４）を逮捕した。「全く思い当たりません」と容疑を否認している。
