share - はてな匿名ダイアリー

Mochibei loved mochi. He loved it so much that he spent every waking moment thinking about it. He dreamed of the perfect mochi, the texture, the sweetness, the way it would melt in his mouth.

One day, he decided to make his dream a reality. He set out on a journey to find the best ingredients, the finest rice, and the sweetest red bean paste. He studied the art of mochi-making, learning from the masters and perfecting his craft.

Finally, after years of hard work, Mochibei created the most delicious mochi in the land. People came from far and wide just to taste it, and soon he became known as the "Mochi King".

But Mochibei was not satisfied. He wanted to share his love of mochi with the world, so he set out on a new journey to teach others his art. He traveled to far-off lands, where he met people who had never tasted mochi before. He taught them how to make it, and soon mochi became popular all over the world.

Mochibei's legacy lived on long after he passed away, and his name became synonymous with the sweet, chewy treat that he loved so much. Even today, people still make mochi in his honor, and his spirit lives on in every bite.

（日本語に翻訳してください。）

「英語の餅兵衛」

餅兵衛は餅が大好きで、常にそれを考えていた。完璧な餅、食感や甘さ、口の中で溶けるような感触を夢見ていた。

ある日、彼はその夢を実現することを決めた。彼は最高の材料、最高品質の米、そして最も甘い小豆ペーストを探すための旅に出た。彼は餅作りの技術を学び、師匠から学び、その技術を磨いた。

長年の努力の結果、餅兵衛は最も美味しい餅を作り出した。人々は遠くから訪れ、その餅を味わうためにやって来た。やがて彼は「餅の王」として知られるようになった。

しかし、餅兵衛は満足していなかった。彼は世界中の人々と餅の愛を共有したかったので、新しい旅に出た。彼は遠い地に旅し、餅を食べたことがない人々に会った。彼らに餅作りを教え、やがて餅は世界中で人気を博するようになった。

餅兵衛の遺産は彼が亡くなった後も長く続き、彼の名前は彼が大好きだった甘くてもちもちしたお菓子と同義語となった。今でも人々は彼に敬意を表して餅を作り続け、彼の精神はそれぞれの一口に生き続けている。

Permalink | 記事への反応(1) | 21:51

2023-03-23

■ChatGPTに登録してみた

噂のChatGPTに今さらながら登録してみました。　

https://chat.openai.com/

アカウントを作成

メールアドレスを登録する他、MicrosoftやGoogleのアカウントでもログインできます。

名前と電話番号を登録します。（電話番号にSMSで確認コードが送られてきます。確認コードを入力すると登録作業が完了します。）

いくつか注意事項が表示されて了承するとChatGPTの画面に入れました。

ChatGPT 使用の注意事項

こんな表示が出ていました。

ChatGPT
This is a free research preview.
🔬 Our goal is to get external feedback in order to improve our systems and make them safer.
🚨 While we have safeguards in place, the system may occasionally generate incorrect or misleading information and produce offensive or biased content. It is not intended to give advice.
　
チャット GPT
これは自由研究のプレビューです。
🔬 私たちの目標は、システムを改善し、より安全なものにするために、外部からのフィードバックを得ることである。
🚨 私たちは安全策を講じていますが、システムは時として不正確な情報や誤解を招く情報を生成したり、不快な内容や偏った内容を生成することがあります。また、アドバイスをすることを目的としたものではありません。

ChatGPT
How we collect data
🦾 Conversations may be reviewed by our AI trainers to improve our systems.
🔐 Please don't share any sensitive information in your conversations.
　
チャット GPT
データ収集の方法
🦾 会話は、当社のAI トレーナーがシステム改善のために確認することがあります。
🔐 会話の中で機密情報を共有しないようお願いします。

ChatGPT
We'd love your feedback!
👍 This system is optimized for dialogue. Let us know if a particular response was good or unhelpful.
💬 Share your feedback in our Discord server.
　
チャット GPT
是非、ご意見をお聞かせください！
👍 このシステムは対話に最適化されています。特定の対応が良かったのか、役に立たなかったのか、お知らせください。
💬 私たちのDiscord サーバーでフィードバックを共有してください。

それではさっそくChatGPTに質問をぶつけてみましょう！

Permalink | 記事への反応(2) | 21:06

2023-03-18

■ChatGPTの台頭でフェイクニュースとかフィッシング詐欺も増えそう

たとえばこんなの。これ自体はただの試み。

絶滅したと思われていたニホンカワウソ、44年ぶりに愛媛県で発見

こんなのがホイホイ出てきたら少なくとも自分はひとつひとつファクトチェックできる自信がない。

ファクトチェックもAIがやってくれるようにならんかな。

Permalink | 記事への反応(0) | 07:56

2023-03-07

■anond:20230307015705

Some parts of Twitter may not be working as expected right now.

We made an internal change that had some unintended consequences.

We’re working on this now and will share an update when it’s fixed.

現在、Twitter の一部が正常に機能していない可能性があります。

意図しない結果をもたらす内部的な変更を行いました。

現在これに取り組んでおり、修正されたら更新を共有します。

https://twitter.com/TwitterSupport/status/1632792942262747136

Permalink | 記事への反応(0) | 02:27

2023-02-03

■anond:20230203082308

5年前には既にいたよ

忙しくない時期はだいたい 1〜2日に1回以上(暇な時はずっといる)覗いてるけど増田はいつメンだぞ

つかこれも無限に繰り返されたやりとりだな

それこそ増田リリース日(2006-09-24)ごろから

　2006-09-24　
■ チャットか
　
しかし、暇なやつっていうのは大体決まった人たちだね。
Permalink |記事への反応(4) | 言及する | 23:18

日記や気分を書き捨ててすぐさま去っていくユーザ入れたらそれなりにユニークユーザいるだろうけど、

常駐してるのたぶん10人いないと思う、ワンチャン片手すらあり得る

あと、在りし日のVIPがみんなニートという体だったのと同じく、

ワイも増田も

MMMO (M 無教養で　M 無能で　M 無収入な　O オタク) か

MMMM (M 無教養で　M 無能で　M 無収入な　M マン) で

それ以外はフェイク！！！でええやろとは思いつつも、

年がら年中、就職できないとかやってるし、ひどいお仕事増田見るので、

ITしようと就労支援のおすすめに切り替えました

Permalink | 記事への反応(1) | 08:42

2023-01-25

■AIがサーチエンジンとして独り立ちするための戦略をAI 自身に聞いてみた（英語）

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 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 a nd 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 br and 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 mon itor 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.

Permalink | 記事への反応(0) | 16:35

■AIがサーチエンジンとして独り立ちするための戦略をAI 自身に聞いてみた（英語）

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 a nd 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 br and 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 mon itor 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.

Permalink | 記事への反応(0) | 16:35

■AIがサーチエンジンとして独り立ちするための戦略をAI 自身に聞いてみた（英語）

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 a nd 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 br and 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 mon itor 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.

Permalink | 記事への反応(0) | 16:35

■AIがサーチエンジンとして独り立ちするための戦略をAI 自身に聞いてみ

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 a nd 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 br and 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 mon itor 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.

Permalink | 記事への反応(0) | 16:34

■AIがサーチエンジンとして独り立ちするための戦略をAI 自身に聞いてみ

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 a nd 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 br and 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 mon itor 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.

Permalink | 記事への反応(0) | 16:34

2023-01-19

■ChatGPTにお前はどうやって実装されてんの？って聞いてみたら

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?

Chat GPT:

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 dat aset 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 a nd 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 dat aset before being fine-tuned on a smaller task-specific dat aset. 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 con text 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 expect ation of having such a knowledge about hierarchy of concepts.

Chat GPT:

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 dat aset 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 con text 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?

Chat GPT:

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 con text 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 dat aset 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 Chat GPT superior to the Google search? Previously people used Google to search for their questions. Now a days, Chat GPT can answer to those questions. What are pros and cons of Chat GPT over the Google search?

Chat GPT:

Chat GPT 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.
Chat GPT, on the other hand, is a natural language processing model that can generate human-like text. It is trained on a large dat aset of text and uses this knowledge to understand a nd respond to natural language input. Chat GPT can generate text that is more coherent and semantically meaningful than a simple information retrieval engine like Google search. Chat GPT 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 Chat GPT over Google search is its ability to understand a nd respond to natural language input in a more human-like way. Chat GPT 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 Chat GPT 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, Chat GPT and Google search have different strengths and capabilities. While Google search is better at providing factual information, Chat GPT is better at understanding and responding to natural language input in a more human-like way.

ぼく：

Why don't Chat GPT refer to Google search in the generation of the conversation? Google Assistant has such a function. Is the reason due to the fa ct that OpenAI is funded by Google?

Chat GPT:

Chat GPT is a language model that generates text based on the patterns it has learned from the training data. While it can understand a nd 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 Chat GPT 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 Chat GPT in the anonymous diary of Hatena co. What should I do for attracting people to get many bookmarks?

Chat GPT:

There are several things you can do to attract people and increase the chances of your conversation with Chat GPT getting many bookmarks on Hatena diary. Some suggestions include:
1. Make sure your conversation is well-written and easy to understand. Use clear and c oncise 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：

Thank you. By the way, what is my name?

Chat GPT:

You've mentioned your name is Masuda.

Permalink | 記事への反応(5) | 13:38

2022-12-17

■Share News Japanっていつから はてブの市民権得たの？

https://b.hatena.ne.jp/entry/s/sn-jp.com/archives/105648

Permalink | 記事への反応(0) | 17:10

2022-12-05

■ネコのさばきは突然にくる

Permalink | 記事への反応(5) | 01:39

2022-11-22

■

「10人の加害者（アプローチしてくるキモオタ）の未来と、1人の被害者（工学の勉強をしたい女性）の未来、どっちが大切ですか。10人ですよ。1人のために10人の未来をつぶしていいんですか。どっちが将来の日本のためになりますか。もう一度、冷静に考えてみてください」

https://jp.quora.com/%E6%9D%B1%E5%B7%A5%E5%A4%A7%E3%81%8C%E5%A5%B3%E5%AD%90%E6%9E%A0%E3%82%92%E8%A8%AD%E3%81%91%E3%82%8B%E3%81%93%E3%81%A8%E3%81%AB%E3%81%A4%E3%81%84%E3%81%A6%E3%81%A9%E3%81%86%E3%81%8A%E8%80%83%E3%81%88%E3%81%A7/answers/398074749?ch=10&oid=398074749&share=529f8771&target_type=answer

Permalink | 記事への反応(0) | 02:10

2022-11-18

■GIGAZINEとはてなーがイーロン・マスクとTwitter民の冗談に釣られてる件

Twitterが数百人退職のため本社を一時閉鎖へ

ttps://gigazine .net/news/20221118-twitter-office-close-staff/

ttps://b.hatena.ne.jp/entry/s/gigazine .net/news/20221118-twitter-office-close-staff/

本題の本社一時閉鎖すら本当かちょっと分からないが、少なくとも情報源はこれのようだ。

ttps://twitter.com/ZoeSchiffer/status/1593391604785504257

これより明らかに問題なのは、記事で紹介されてる以下のツイート。

一方でマスク氏は職務規定をわずかに緩和し、従業員を慰留する試みも行っていることを元Twitter 社員であるアレックス・コーエン氏が明かしています。

I was laid off from Twitter this afternoon. I was in charge of managing badge access to Twitter offices.
Elon just called me and asked if I could come back to help them regain access to HQ as they shut off all badges and accidentally locked themselves out.
Twitter オフィスで入退室管理をしてたんだけど、今日の午後、Twitterを解雇された。
しばらくしてイーロンから「入退室の認証が通らなくなってオフィスから全員締め出されちゃったので、復旧のために戻ってきてくれないか」と連絡が来たよ。
ttps://twitter.com/anothercohen/status/1593404311832338442

まずこのアカウント、bioに「Mostly parody account」とパロディアカウントであることを説明している。さらに認証マークはTwitter Blue（月額数ドル）で取得している。

で、FTX破産のときにもそれっぽい冗談を飛ばしている（界隈の人なら「ARK Invest」とか「web3」って単語を羅列してる時点で何となく冗談言ってそうと分かるだろう）

I was let go by FTX today. I was in charge of all of Sam's personal finances. This was my first job in finance and living in the Bahamas.
I'm sad but excited to share that come January, I will be starting a new role at ARK Invest, leading our early stage web3 investments!
ttps://twitter.com/anothercohen/status/1590847523748712448

文体も似てるし、実際多くの人がジョークだと補足でツイートしている。

ttps://twitter.com/JohnAllison_PGH/status/1593408882021376005

イーロン・マスクもこのツイートに乗っかってツイートをしているので、文面だけを読むと本当のことに聞こえるが、

先日イーロン・マスクが「元Twitter 従業員」と勘違いされてインタビューした2人と記念写真を撮影したように、これもジョークに全力で乗っかるイーロン・マスクのいたずらと見て間違いないだろう。

デマやウソを流す行為を批判する多くの人々が、こうした冗談に騙されてあーだこーだ言ってるのが滑稽で面白い。

Permalink | 記事への反応(2) | 20:20

2022-11-17

■可愛らしいビール腹のおじさんが午前０時をお知らせします

Permalink | 記事への反応(1) | 23:59

2022-11-13

■Twitterのメディア 操作ガーとか言ってる連中が有り難がるニュースソースはshare news japanみたいなものなんだろうなw

某高村はアメコミ叩きでalt-rightのデマサイトを引用してるしなw

Permalink | 記事への反応(0) | 05:00

2022-10-20

■anond:20221020170410

一人暮らしで小さめの戸建てに住むの夢あっていいな

リンク先の記事で掲載されている部屋のイメージとか理想

北原俊史さんによる「一人ぼっちで生きるとはどんな感じなのでしょうか？」への回答

https://jp.quora.com/%E4%B8%80%E4%BA%BA%E3%81%BC%E3%81%A3%E3%81%A1%E3%81%A7%E7%94%9F%E3%81%8D%E3%82%8B%E3%81%A8%E3%81%AF%E3%81%A9%E3%82%93%E3%81%AA%E6%84%9F%E3%81%98%E3%81%AA%E3%81%AE%E3%81%A7%E3%81%97%E3%82%87%E3%81%86%E3%81%8B/answers/298159774?ch=15&oid=298159774&share=5fbf15e1&srid=uPLuri&target_type=answer

Permalink | 記事への反応(0) | 17:13

2022-10-13

■「僕達の文明では感情は極めて希な精神障害」まであと一歩

●緊急LIVE 配信●【退任表明】明石市泉市長　記者会見（2022年 10月12日）

https://m.youtube.com/watch?v=VQmHOGNl1B8&feature=share&utm_source=EJGixIgBCJiu2KjB4oSJEQ

この動画で言ってる内容を見ると、明石市長っていわゆるADHDっぽいなーと思った

正義に反する相手の態度が許せなくて、怒りを率直に表明してしまうっていう。

要は正義感の強い人間。

こういう特徴を『発達障害』にしてしまった事が、今の社会に与えた影響はどれほどのものか。

アカデミー賞授賞式のウィル・スミスもそう。

かっとなって怒りの感情を抑えられなくなってしまいがちで、しかもそれが素朴な正義感に端を発している

ウィル・スミスの場合は言葉の暴力よりも身体の暴力が重いって事で除名されたけれど

明石市長の件では言葉の暴力でもアウトなのか

結局今の社会では言葉だろうがビンタだろうが怒りの感情を表明したらアウトで、どんな事情があろうともニコニコ笑って上手くやり過ごさないと駄目って事なのかねえ

暴力や暴言はよくないって、確かにそりゃ正論なんだろうけれど。

でもそれってほんと、いじめる側ばかりに都合の良い社会だと感じるけれど。

暴力も暴言もそりゃよくないよ？でも一時の感情で強い態度に出てしまったのって、本当にそこまで全否定すべきなの？

女性蔑視や人種や民族に対するヘイトスピーチのように考えそのものに問題がある方が、よっぽど問題だと思うんだけど。

今の社会は本当に、正直な感情を表に出す事がよくないとされる世界だと思う。ひろゆきみたいに真面目にならず、いつもヘラヘラ笑ってやり過ごす人間が支持を集める。

こうなるともう、アニメのまどかマギカに出て来たインキュベーターの世界まであと一歩だなと。

Permalink | 記事への反応(0) | 20:41

2022-10-11

■anond:20221011030454

いやご家庭の教育を放棄すんなよ

海外の作品を評価するヤツもご家族の教育が前提だぞ。ネタでもやめて欲しい

日本のコンテンツの倫理観は終わってるんで。せめて下記のような評価の指針を持ってからにしよう
Positive message や Positive Role Model という概念
　
Positive message
Positive Role Models ＆ Representations
Violence ＆ Scariness
Sexy Stuff
Language
Consumerism
Drinking, Drugs ＆ Smoking
WHAT PARENTS NEED TO KNOW
TALK TO YOUR KIDS ABOUT ...
　
例えばポケモン　↓
WHAT PARENTS NEED TO KNOW
Parents need to know that the long-running Pokémon series is based on characters from a popular video game, and is part of a giant licensing juggernaut. The Pokémon are kid-appealing, but the series features lots of fantasy violence, and pits the cute, monster-like characters against each other on behalf of their trainers. There are some positive messages (teamwork, sportsmanship, respecting elders), but it may be too intense for younger children.
　
IS IT ANY GOOD?
Over the years, the energetic, imagination-filled, Japanese-inspired fantasy series has cut across cultural, gender, and a ge barriers to captivate a global audience of girls, boys, and even adults. But like any product that inspires obsessions, it has received its share of criticism. Folks may also find the franchise's massive commercial appeal disturbing, especially since the show is mainly geared towards kids.
The who le concept of human characters summoning subordinates to battle on their behalf may be troubling to some. This can potentially send iffy messages to children with pets, too. But despite the endless fantasy violence, Pokémon attempts to promote messages about choosing the right path in life and resolving differences peacefully--before the fighting starts.
　
TALK TO YOUR KIDS ABOUT ...
Families can talk about the popularity of Pokémon in the United States. Why do people of all ages find it appealing? What are the most popular Pokémon? Why?
What are the differences between Pokémon and real-life pets. How do Ash and his friends care for their Pokémon? How do we care for pets differently? Why are the Pokémon loyal to them and fight on their behalf? How about Team Rocket? Can we ever expect animals to fight on our behalf?

Permalink | 記事への反応(0) | 03:12

2022-10-06

■anond:20221006113655

そういうビジネスエスタブリッシュメントに限らず、社会的エスタブリッシュメントという意味

この回答が一番端的に説明してると思う

Answer to What does an established person mean? by Shaylee Jones https://www.quora.com/What-does-an-established-person-mean/answer/Shaylee-Jones-1?ch=15&oid=249479322&share=09607159&target_type=answer

Permalink | 記事への反応(1) | 11:41

2022-10-02

■[あとで読む]2022年 9月 はてブのあとで読む トップ30リスト

はてブのホットエントリ(総合)で月内に数多く[あとで読む]タグを集めたエントリ

最終回

最後に今まで出してきたはてブのあとで読むトップ30リストが正しかったのか校正するためにはてな公式のリストと比較してみる。

見比べてみるとトップ6に同じエントリが入ったが並び順が異なる。

このトップ30リストでは[あとで読む]タグの数で順位を決めてきたのだが、はてな公式のあとで読むランキングの順位はブックマークの多い順に並んでいるようだ。このトップ6よりブクマ数の多いエントリが多数あり、どのエントリにも多かれ少なかれ[あとで読む]タグが付けられている中でこのトップ6を選んだということは、その段階では[あとで読む]タグの個数で選んだはずである。はてな公式のランキングは2つの異なる順位付け方法が分かりづらい形で混ぜ合わされた形になっている。中途半端でランキング名称から受けるイメージとずれているので純粋な[あとで読む]タグの個数順に変えたほうがいいんじゃないかと思う。

追記: 純粋なブクマ数順のリストと比べてみたが、はてな公式のあとで読むランキングはトップ6の選び方からして純粋なブックマーク個数順なのかもしれない。引き続き検証しなければ分からないが面倒臭すぎる。

はてなは『「あとで読む」タグが付けられたエントリーのブックマーク数ランキングです』と説明しているがこの文章を文字通りに受け取らなくてはいけなくて、[あとで読む]タグを1人でも付けたら集計対象に入ってあとはブックマーク個数順に並べただけなのだろうか？それでは今までのホットエントリと代わり映えしない集計期間がただ伸びただけのものになってしまうな。

2022/10/01 00:00頃 https://b.hatena.ne.jp/ に掲示されていたはてな 公式の「あとで読む ランキング」

1位 3284USERS 150 分で学ぶ高校数学の基礎 speakerdeck.com/e869120

2位 2877USERS 【アメリカで話題】ただ座るだけ！股関節がみるみる柔らかくなる「90/90ストレッチ」 | ヨガジャーナルオンライン yogajournal.jp

3位 2342USERS ハーバード大のコンピュータサイエンス講座「CS50」の日本語化が完了し、無償公開 edu.watch.impress.co.jp

4位 2079USERS 「この食べ方に出会ったから、この食材を買うようになった」エピソードを教えてください togetter.com

5位 1875USERS みんなが教えてくれたAmazonプライムビデオのマジのおすすめ | オモコロブロス！ omocoro.jp

6位 1755USERS 「のどが渇いた」というユーザーに何を出す？ユーザーの「欲しい」に惑わされない、本当のインサイトを見つけるUX デザイン・UX リサーチ www.slideshare .net/storywriterjp

集計期間 : 2022/08/31〜2022/09/30

2022-09-05 ブラウザ版のトップページに「あとで読むランキング」を新設しました（ほか改善1件） https://bookmark.hatenastaff.com/entry/2022/09/05/162939

いつもの

524あとで/3291users 150 分で学ぶ高校数学の基礎 | E869120 | SpeakerDeck

375あとで/2882users 【アメリカで話題】ただ座るだけ！股関節がみるみる柔らかくなる「90/90ストレッチ」 | ヨガジャーナルオンライン

366あとで/2343users ハーバード大のコンピュータサイエンス講座「CS50」の日本語化が完了し、無償公開 | こどもとIT

270あとで/1759users 「のどが渇いた」というユーザーに何を出す？ユーザーの「欲しい」に惑わされない、本当のインサイトを見つけるUX デザイン・UX リサーチ | Yoshiki Hayama | slide share

253あとで/2083users 「この食べ方に出会ったから、この食材を買うようになった」エピソードを教えてください | Togetter

251あとで/1879users みんなが教えてくれたAmazonプライムビデオのマジのおすすめ | オモコロブロス！

238あとで/1237users 手を動かして学べるAWSの日本語講座まとめ　AWS 日本法人が公開　165コンテンツを一覧に | ITMedia

232あとで/1719users 眼鏡オタクが解説する、絶対に似合う眼鏡の選び方｜mkm00077｜note

182あとで/1565users いし🏔️今日もゆるく活動します✌ on Twitter: "４０代以上は聞いてください。いつかは訪れる親の死。前触れもなく突如おきる。お葬式、保険証の返却、年金、相続税、財産調査、相続人確定、遺産分割、銀行の解約、不動産の名義変更。「何から始めたらいいか分からない‥」急な対応にも焦らないよう相続手続きの流れをリプ欄に並べておきます。"

180あとで/1078users 技術文書の書き方 | Yamamoto, Hirotaka | GitHub Gist

180あとで/1069users オライリーの教育的な良書「Think Python」第2版は日本語訳が無料公開されている。初心者がつまずきやすい点を先回りして説明・各章の終盤にデバッグのヒントが書いてある | Togetter

162あとで/1526users 共感格差 | データをいろいろ見てみる

154あとで/923users 『ゴールデンカムイ』最終巻ラストの真相…野田サトル１万字インタビュー#1 | 集英社オンライン | 毎日が、あたらしい

148あとで/862users 「成果を出せば評価される」という考えが不幸の始まり　人事評価制度に不満の声が出る、必然の理由 | 中尾隆一郎, 坪谷邦生 | logmi biz

142あとで/1471users Midjourney、Stable Diffusion、mimicなどの画像自動生成AIと著作権 | STORIA法律事務所

139あとで/976users 台湾旅行は本当に良い、台北でアツいスポット 10カ所あげとく→一覧で紹介されていた場所をまとめました | Togetter

137あとで/974users 未経験者がプログラミングを学びたいと思った時に最初に読む記事 | YuheiNakasaka | Zenn

133あとで/1393users 東京の行きたいところ | Togetter

132あとで/612users 答えが分からないものを模索しながら作り続ける世界に我々は突入した。和田卓人氏による「組織に自動テストを根付かせる戦略」（その1）。ソフトウェア品質シンポジウム2022 | Publickey

131あとで/1121users 登らずに絶景を見て温泉まで楽しめる！公共交通機関で行ける山岳リゾート15選 - 温泉ブログ山と温泉のきろく

129あとで/1418users モーリー・ロバートソン on Twitter: "完全に国際情勢や社会情勢からかけ離れた私事について失礼いたします。このところ縁あって高校卒業までの時期について取材を受けるインタビューが相次いでいます。おそらく日本の多様性が進む中でヒントを見つけようという取材意図があると思います。ここである問題が頻繁に起こります。"

128あとで/887users 【股関節がガチガチに硬い人向け】可動域を無理なく広げる！"揺らすだけ"股関節ストレッチ | ヨガジャーナルオンライン

125あとで/647users 全プログラミング学習者へ。ハーバード大の入門講座「CS50」が無償かつ日本語で学べるようになりました！ | ライフハッカー［日本版］

121あとで/1440users きゃりーぱみゅぱみゅの「大人なLADYになるわよコラム」第35回〜『マネーの虎化してるわよ』〜 | Hanako.tokyo

119あとで/1002users ちょうどいいWebデザインギャラリー | 株式会社イッパイアッテナ

118あとで/742users 『めぞん一刻』や『美味しんぼ』を手がけた小学館の伝説的漫画編集者・白井勝也氏に、元週刊少年ジャンプ編集長の鳥嶋和彦氏が訊く！──ライバル同士だった二人がいまこそ語る”編集者の役割” | 電ファミニコゲーマー

117あとで/836users 1つでも該当すると、「会議の成功率」は5分の1以下　AIが導き出した、会議の成功を阻む5要素 | 越川慎司 | logmi biz

117あとで/792users 放送大学と学位授与機構で情報工学の学位を取る（科目対応表付き）｜lumpsucker｜note

117あとで/492users 安全安心にソフトウェア開発を行うためのDesign Doc導入ガイド｜面川泰明｜note

116あとで/1077users 元キーエンスのトップ営業が、新規事業をバンバン売るためにやっていること｜鶴岡友也／BLUEPRINT, inc. 最高事業責任者｜note

Permalink | 記事への反応(0) | 13:31

「share」を含む日記

■VTuber「クゥ・フラン・ゾーパー」の対人履歴とその現在

■角栓抜く動画好きなやつおる？

（日本語に翻訳してください。）

■ChatGPTに登録してみた

アカウントを作成

ChatGPT使用の注意事項

■ChatGPTの台頭でフェイクニュースとかフィッシング詐欺も増えそう

■AIがサーチエンジンとして独り立ちするための戦略をAI自身に聞いてみた（英語）

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■AIがサーチエンジンとして独り立ちするための戦略をAI自身に聞いてみた（英語）

■AIがサーチエンジンとして独り立ちするための戦略をAI自身に聞いてみ

■AIがサーチエンジンとして独り立ちするための戦略をAI自身に聞いてみ

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■[あとで読む]2022年9月はてブのあとで読むトップ30リスト

2022/10/01 00:00頃 https://b.hatena.ne.jp/ に掲示されていたはてな公式の「あとで読むランキング」

いつもの

ChatGPT 使用の注意事項

■AIがサーチエンジンとして独り立ちするための戦略をAI 自身に聞いてみた（英語）

■AIがサーチエンジンとして独り立ちするための戦略をAI 自身に聞いてみた（英語）

■AIがサーチエンジンとして独り立ちするための戦略をAI 自身に聞いてみた（英語）

■AIがサーチエンジンとして独り立ちするための戦略をAI 自身に聞いてみ

■AIがサーチエンジンとして独り立ちするための戦略をAI 自身に聞いてみ

■[あとで読む]2022年 9月はてブのあとで読むトップ30リスト