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はてなキーワード: ONEとは
If this sytem can be applied in simliar fashion to those of search engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
If this sytem can be applied in simliar fashion to those of serach engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
If this sytem can be applied in simliar fashion to those of serach engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
どうやらAIはどうやったらGoolgeに勝つのかもお見通しのよう
If this sytem can be applied in simliar fashion to those of serach engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
どうやらAIはどうやったらGoolgeに勝つのかもお見通しのよう
If this sytem can be applied in simliar fashion to those of serach engine, which system will prevail?
AI-based search engines, such as myself, and traditional search engines, like Google, are both designed to help users find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditional search engines like Google use a combination of web crawling and indexing algorithms to gather and organize information from the internet. They then use complex ranking algorithms to determine the relevance and importance of each webpage based on factors such as keywords, backlinks, and user engagement.
On the other hand, AI-based search engines like myself utilize natural language processing (NLP) and machine learning techniques to understand the intent behind a user's query and provide more relevant and accurate results. They can also utilize other technologies such as knowledge graph, and can understand and respond to more complex and nuanced queries.
In terms of which system will prevail, it's hard to say. Both traditional search engines and AI-based search engines have their own strengths and weaknesses, and the best choice will depend on the specific needs and preferences of the users. Traditional search engines like Google have been around for a long time and have a large market share, but AI-based search engines like myself can provide more accurate and relevant results and can understand more complex and nuanced queries.
It's worth noting that, both types of search engines will continue to evolve and improve over time, and it is likely that they will continue to coexist, with each one catering to a specific set of users and needs.
Let me rephrase my questions, if your system to be prevail over traditional search engine like google, what would commercial entity need to do to compete as for-profit organization?
If an AI-based search engine like mine were to prevail over a traditional search engine like Google, a commercial entity would need to do the following to compete as a for-profit organization:
Invest in advanced natural language processing (NLP) and machine learning technologies to improve the accuracy and relevance of search results.
Build a large and diverse dataset of information to train the AI system.
Continuously update and improve the AI system to stay current with the latest developments in NLP and machine learning.
Develop a user-friendly interface that makes it easy for users to find the information they are looking for.
Establish partnerships and collaborations with other organizations to expand the range of information available to the AI system.
Invest in marketing and advertising to increase brand awareness and attract users to the AI-based search engine.
Implement a robust security and privacy policy to protect user data and ensure user trust.
Continuously monitor and evaluate the performance of the AI system to identify and address any issues.
Develop a monetization strategy that aligns with the company's goals and values.
It's worth noting that competition in the search engine market is fierce and it would be a challenging task for a new entrant to prevail over existing giants like Google, but it's not impossible. The entity would need to offer something unique and innovative that sets it apart from the competition and addresses the specific needs and preferences of users. Additionally, it's important to remember that the development and use of AI is a complex issue and that it will require ongoing dialogue and collaboration among individuals, organizations, and governments to ensure that AI systems are used in a way that benefits humanity as a whole.
マジレスされてチビッた．こりゃGoogleさんもビビるわけだ．
ぼく：
How were you implemented? Is it deep learning-based?
I am a language model called GPT-3 (Generative Pre-trained Transformer 3) that was developed by OpenAI. It is a deep learning-based model that uses a type of neural network called a transformer, which was trained on a large dataset of text to learn patterns of language.
GPT-3 is trained using a technique called unsupervised learning, where the model is given a massive amount of text data and uses this data to learn patterns and relationships in the language. This allows GPT-3 to generate human-like text when given a prompt, and to understand and respond to natural language input.
The training process of GPT-3 involves a technique called pre-training, which means that the model is trained on a massive dataset before being fine-tuned on a smaller task-specific dataset. This pre-training allows GPT-3 to have a good general understanding of the language and to be able to adapt to specific tasks more easily.
The GPT-3 model has 175 billion parameters, which is one of the largest language models to date, making it able to generate very human-like text and to understand context in a very natural way.
ぼく：
How does GPT-3 have a knowledgebase like an ontology? As it is deep learning-based, the knowledgebase like an ontology would not be implemented explicitly, but the structure should be designed with an expectation of having such a knowledge about hierarchy of concepts.
GPT-3, like other deep learning models, does not have an explicit knowledgebase or ontology built into its structure. Instead, it has been trained on a large dataset of text, which allows it to learn patterns and relationships between concepts.
However, the training data that GPT-3 was exposed to, likely contains a wide range of concepts and hierarchical structures. As GPT-3 learns patterns in the data, it can begin to understand the relationships between different concepts and ideas, and how they are related to each other. This allows the model to generate text that is more coherent and semantically meaningful, making it possible to understand the context and hierarchy of concepts, but it does not have an explicit ontology like a knowledge graph.
It can be said that GPT-3 has a certain level of "implicit ontology", in the sense that it has learned the relationships between concepts in a way that is similar to how a knowledge graph or ontology organizes information. However, it's important to note that GPT-3's understanding of concepts and relationships is based on the patterns it has learned from the training data, which is not a structured and explicit knowledgebase like an ontology.
ぼく：
Then how does GPT-3 handle the long-term or short term memories? Can it remember information about the on-going chatting? My name is Masuda, can GPT-3 keep it in the memory? Furthermore, can it learn and understand the new information from the Q-A queries, and use it in the future queries?
GPT-3 handles long-term and short-term memories differently. When it generates text, it uses a technique called attention mechanism which allows the model to focus on certain parts of the input while generating the output. This allows GPT-3 to keep track of previous information and context when generating text, which can be thought of as a form of short-term memory.
Regarding the on-going chatting, GPT-3 can keep track of certain information, like the name you've provided, Masuda, during the conversation and use it in future responses. However, it's important to note that GPT-3 is a stateless model, which means that it doesn't have a permanent memory that it can refer to after a conversation ends.
Regarding learning from Q-A, GPT-3 is trained on a massive dataset of text, and it learns patterns and relationships between concepts from this data. It can generate text that is semantically meaningful and coherent, but it does not have the capability to learn new information from Q-A sessions and use it in future queries. However, OpenAI has developed another model called DALL-E, which uses GPT-3 and it is capable of learning from Q-A sessions and use it in future queries.
ぼく：
Is ChatGPT superior to the Google search? Previously people used Google to search for their questions. Now a days, ChatGPT can answer to those questions. What are pros and cons of ChatGPT over the Google search?
ChatGPT and Google search are different technologies with different capabilities and strengths.
Google search is a powerful web search engine that can quickly find relevant information from a vast amount of web pages and documents. It uses complex algorithms to rank and sort search results based on relevance, popularity, and other factors. Google search is very good at providing factual information and is an excellent tool for researching a wide range of topics.
ChatGPT, on the other hand, is a natural language processing model that can generate human-like text. It is trained on a large dataset of text and uses this knowledge to understand and respond to natural language input. ChatGPT can generate text that is more coherent and semantically meaningful than a simple information retrieval engine like Google search. ChatGPT can also be used to generate text that is more engaging and human-like, such as in chatbots and virtual assistants.
One of the main advantages of ChatGPT over Google search is its ability to understand and respond to natural language input in a more human-like way. ChatGPT can also generate text that is more coherent and semantically meaningful, which can be useful in many applications. However, Google search is better at providing factual information and searching for specific pieces of information.
Another disadvantage of ChatGPT is that it doesn't have the ability to retrieve information from the web, it can only generate text based on the patterns it has learned from the training data. That's why it's not a replacement for a web search engine like Google but it can be used as an additional tool to help people to find the information they are looking for.
In summary, ChatGPT and Google search have different strengths and capabilities. While Google search is better at providing factual information, ChatGPT is better at understanding and responding to natural language input in a more human-like way.
ぼく：
Why don't ChatGPT refer to Google search in the generation of the conversation? Google Assistant has such a function. Is the reason due to the fact that OpenAI is funded by Google?
ChatGPT is a language model that generates text based on the patterns it has learned from the training data. While it can understand and respond to natural language input in a human-like way, it does not have the capability to access external sources of information like Google search.
Google Assistant, on the other hand, is a virtual assistant that can access a wide range of information and services through the internet, including Google search. Google Assistant can use this information to provide more accurate and relevant responses to user queries.
The reason ChatGPT does not refer to Google search during the generation of the conversation is likely because it was not designed or trained to do so. Instead, it was designed to generate text based on the patterns it has learned from the training data, and it does not have the capability to access external sources of information.
It's worth noting that OpenAI and Google are separate organizations, even though Google is an investor in OpenAI, this doesn't necessarily mean that the two companies work together on their products and services. OpenAI has its own development team, goals and roadmap and they are independent from Google.
ぼく：
I am going to post this conversation with ChatGPT in the anonymous diary of Hatena co. What should I do for attracting people to get many bookmarks?
There are several things you can do to attract people and increase the chances of your conversation with ChatGPT getting many bookmarks on Hatena diary. Some suggestions include:
1. Make sure your conversation is well-written and easy to understand. Use clear and concise language, and consider formatting your text in a way that makes it easy to read.
2. Use relevant keywords and hashtags in your diary entry. This can help make your conversation more discoverable to people searching for related topics on Hatena diary.
3. Include images or videos in your diary entry. This can make your conversation more visually appealing and can help attract more readers.
4. Share your diary entry on social media or other platforms. This can help increase the visibility of your conversation and attract more readers.
5. Encourage readers to share their thoughts and opinions on your conversation by including a call to action or a question at the end of your diary entry.
6. Finally, you can also try to participate in the conversation on Hatena diary, by answering the questions, responding to the comments, and engaging with your readers.
It's important to remember that getting many bookmarks on a diary is not easy and it can take time and effort to build an audience. But by following these tips and being consistent with your diary entry, you will increase the chances of attracting more readers and getting more bookmarks.
ぼく：
keyっつう元祖ナキゲーのシナリオライターの名前があったからいつかやろうと思ってたらフリプきたからラッキーだった
ライターは涼元かと思ったら久弥だった
フリューゲーはよるのないくにのvita版をチュートリアルだけやってすぐやめた程度の経験しかなかった
結果
アマゾン的にいえば★２
主観ぬきなら★１だけど主観で７７７ってキャラがよかったからそれだけでプラス１した
ダメなとこはアマゾンレビューでもさんざん書かれてるのとほぼ同じでアクションRPGなのに肝心のアクションがクソすぎる
どっかのサイトで低人数短期間で作ったって自慢してたけど、それは面白いゲームを作ったあとで言えるんであって、
コスト削りまくった結果クソゲーになったのなら元も子もないんだよなあ
サクナヒメもそうだったけど敵ダウンさせてから追撃できないようにしてるのと、
攻撃途中でキャンセルできなかったりするのって低クオリティアクションゲーあるあるすぎてほんとやめてほしいわ
ともかくアマゾンとかで触れられてない個人的にダメだったとこを書く
アクションはクソだけどシナリオはよかったみたいに言われてるけど全然そんなことないわ
まどまぎのほむら的かつニーア的かつぎゃるげ的なループというメタ文法いれてきただけ
ニーアのウェポンストーリーみたいなのも入れてるけどそういうのは本編がちゃんとできてからやれよっていう
メンヘラヤンデレ百合ゲーっていう物珍しさっていうポイントが唯一の評価点
でもそれすら典型的テンプレでしかなくて特に新しいところもない表層的表面的うわっつらの描写で見てて鼻で笑うレベル
ファッション百合みたいにかわいいこに抱きついたりちょっかいかけるのをギャグ的にやるのはまだしも、
そいつの抱えてる話・設定が百合どころかノーマルでしかなくてそれを前面に出してるのと整合性がねーんだよ
だれもつっこまなかったのか？
大学でクソ男にひっかかって在学中に妊娠までしたようなアホ女って時点でなえるのにそいつがかわいい女の子に好き好き冗談いったり基本女しかでねーゲームに男の影におわせる時点でまじでゴミなんだよ
女だけ出しとけよ
せいぜい家族までにしとけや
それ以外でもあからさまにギスギスして魔女同士殺し合いさせたりとかもさあ・・・
20年まえならまだしもまどまぎ以降にたようなのばっかであきあきしてんだよ
音楽もなんかごちゃごちゃしてて似たようなのばっかできいてて不快ではないけどずっときいてたいと思うようないい音楽ではなかった
ゲームのクソさに合わせたってんならわからんでもないけどてきなレベル
とは言ってない。
この記事、やけにブコメが荒れてるのはクーリエ・ジャポンのタイトルが煽り気味だからだと思うんですよね。
内容は面白いのに無駄に荒れるので、こういう煽りタイトルはやめてほしい。
https://b.hatena.ne.jp/entry/s/courrier.jp/news/archives/310743/
元記事が見つかったので読んでみたところ、本文はほぼそのまま翻訳しているのにタイトルが全然違うんですよね。
海外紙の疑問「どうして日本人は子供にキラキラネームをつけるんですか？」
https://courrier.jp/news/archives/310743/
From ‘Nike’ to ‘Pikachu’ and ‘Devil’: why Japanese parents shunning traditional baby names is a sign of societal change
（訳）「ナイキ」から「ピカチュウ」「悪魔」へ：日本の親が伝統的な赤ちゃんの名前を避けるのは社会的な変化の表れである
本文もこの２点だけが重要です。
誰も「どうして日本人は子供にキラキラネームをつけるんですか？」とは言っていないし、そういう話ではない。
ものすごく好意的にみれば嘘は言っていないが、「どうして」の意味合いが変わっていると思う…
元記事のタイトルそのままでは読まれないと考えたんだと思いますが、こういう読者を馬鹿にした編集はやめてください。
たぶんこれが元ネタになった論文なので、「なんかそういうデータあるんですか？」と思った人は読んでみると面白いと思います。
https://www.sciencedirect.com/science/article/pii/S2666622722000132
Broforce / 340円
いろんな映画っぽいアニキキャラがドンパチするドット絵横スク2Dシューティング。キャラは一撃で死ぬ。戦いとは常に死と隣り合わせなのだということを感じさせるバカゲー。ワークショップにユーザが作ったマップがあるので無限に遊べる。
Door Kickers: Action Squad / 400円
人質救出部隊の隊員になって敵アジトに潜入するドット絵横スクアクション。侵入ルートを考えたり、スモークやフラッシュバン使って敵を無力化したりとけっこう頭も使う。
棒人間がマウスの左右ボタンだけを使って戦う格闘アクション。単純に見えてけっこう奥深く、謎な集中力を必要とする。2も出てて205円。
近接武器や魔法で戦うローグライクな横スク2Dアクション。入るたびに構造が変わるお城で戦って死んで拾ったお金でスキルや装備を買って次世代に引き継いでいく。キャラに様々な奇抜な長所短所がつく。2も出てるがまだ高いのでお試ししてみたい方は1からどうぞ。
Spelunky / 370円
謎の遺跡を探索するローグライクな横スク2Dアクション。ジャンプは１マス、鞭攻撃も１マス、自分が投げた石が壁に跳ね返ってダメージを受け、ちょっと高いところから落ちると足をくじく。そんな感じで気を抜くとあっという間にダメージを受けて死んでしまう死に戻りゲー。これも2も出てるがゲームルールは基本的に同じなのでお試ししたい人は1からどうぞ。
Terraria / 490円
言わずもがなの有名作品。横スク2Dのマイクラ風サンドボックス。木や土を掘って素材とし、いろんなものを組み合わせて武器を作ったり建築したり。地上よりも地下が広大に広がる。アクションも本格的。
CRYPTARK / 370円
エイリアンに占拠された無重力の廃棄船内を探索する全方位シューティング+ローグライク。各船のコアにある脳みそを破壊すればクリアだが、バリアやアラームなど様々なエイリアン設備があるので順次撃破する必要がある。また船内にはランダムで様々な武器が落ちているので、それを回収して自身を強化していく。弾数制限シビアめ。
Immortal Redneck / 495円
ピラミッドを探索するローグライクFPS。ランダムな構造のダンジョンで、ランダムにドロップする武器や、ランダムな効果のあるカードを入手しながら上部を目指す。カードは拾うまで効果がわからず、良い効果2：悪い効果1ぐらいの割合で、たまに絶望的に悪い効果のカードが出る。弾薬数がわりとシビアなのでトリガーハッピーはできず、弾薬管理が大事。
火星で地球軍に楯突くレジスタンスになって戦うTPS。建物をハンマーや爆弾やロケランでぶっ壊せるのが楽しい。いちおうオープンワールドだが、シナリオによって行ける範囲は限定されている。とにかくぶっ壊すのが楽しい。壊したらスクラップ（お金）が入るしでとにかくぶっ壊すのが楽しい。
Hand of Fate / 396円
カードゲーム+アクション。カードゲームと言ってもカードバトルではなく、武器やシナリオのカードデッキを組み、めくったカードによってゲームが進行する。アクション部分はちょっとどうさ重たいけど、回避やパリイをしっかりとしていく系のしっかりアクション。2も出ているが500円越えているのでここでは1を紹介。2の方がいろいろ進化していて遊びやすい。
Titan Quest / 495円
ギリシャを部隊にしたディアブロ系ハクスラ。あんまり派手さはないがディアブロ系としてはしっかりしている部類かと。スキルツリーは２つのクラスのハイブリッドで選択できる。
Torchlight II / 495円
同じくディアブロ系だが、こちらはどっちかというとポップ派手派手ざっくりファンタジー系。後半どうしても召喚頼りになりがち。MODも豊富。3まで出ているが2までしか遊んでない。
Curious Expedition / 296円
ヘックス状のマップを開きながら未開の地を探検していくアドベンチャーRPG。行動するごとに「狂気度」があがっていき、マックスになるとさまざまなペナルティが発生する。食事をしたり休息することで狂気度は下がるが、休息してるとまたトラブルが・・・。とにかくリソース管理が大事、というか、シビア、というか、地獄。2も出ていてまだちょっと高いがだいぶ遊びやすくなっている。
Renowned Explorers: International Society
こっちも未開の地を探索していく系だが、どちらかというとゲームブック風。マスごとにイベントが発生して、選択肢に応じてダイス値に各キャラのステータスをのっけて成功判定をする。戦闘はマス目移動だが、物理攻撃、脅す、褒める、というちょっと変わったもの。これもそこそこシビア。
Hard West / 297円
いわゆるXCOM系のタクティカルシミュレーション。部隊は西部劇ぽい時代。物陰に隠れながら射撃するのがセオリーだが、お互い隠れていると全然当たらない。でも相手の裏を取るのは難しい。そんなゲーム。戦闘以外のマップパートは人によってはちょっとだるいかも。
Invisible, Inc. / 495円
敵企業に忍び込んでミッションをこなしていくターン制タクティカル。1～4人のエージェントと、ハッキング能力のあるAIを操作する。基本的には見つかってはダメなので、監視カメラや兵士の視線を逃れ目的を遂行する。敵の視野や移動ルードが見えるので、最適ルートを考えながら進む。ハッキングでカメラやデバイスを無効化したり、気づいた敵を気絶させたりと選択肢は豊富。時間制限があるので常に追い立てられる感じがある。
SteamWorld Heist / 228円
ロボット宇宙海賊？が他の船に侵入して銃で撃ち合う横スクロールタクティカル。一見アクションに見えるがアクション性は皆無。ターン制で移動し、銃で狙いをつけ、跳弾などをうまく使って敵と銃撃戦をしていく。物陰や地形をうまく利用して戦うことが大事になってくる。SteamWorldという一連のシリーズのひとつ。
Militia / 299円
シンプルな将棋のようなパズルゲーム。３つの味方兵士を使って、敵にやられないように☆マークの敵を倒していく。敵の動きは種類ごとに決まっているので、それにやられないように位置取りをしながら敵を倒していく。詰将棋のような感じ？ とにかく「注意力」が必要とされるゲーム。
ドワーフたちに指示を出して、採掘したり建築したりしていく横スクシミュレーション。Terarriaっぽいがアクション性はなく、指示を出すシミュレーション。そのうちドワーフがめっちゃ増えて頭パニックになる。
Turmoil / 294円
石油採掘シミュレーション。地面にパイプを通して石油を掘る。石油の売却価格は常に変動するので、安いときにためて高いときに売るなどの戦略が必要。売ったお金で設備などをグレードアップしていく。
Train Valley / 490円
駅から駅に線路を通し、列車を目的地に走らせるパズルゲーム。ちょっとmini metroにも似てる？
Bionic Dues / 252円
ロボットを操作するトルネコ系ローグライク。4台のロボットを切り替え、局面に合わせたロボットを使いながらマップを攻略していく。ロボットなので武器は基本遠距離。でも敵も遠距離攻撃してくるので物陰にかくれたり射程を考えて戦ったりする必要がある。入手する装備の種類、パラメータが多彩で、そのうちゲームしているよりもアイテム整理や装備の組み合わせを考えている時間の方が長くなるんじゃないかとさえ思う。
Crypt of the NecroDancer / 296円
リズムに合わせて操作するロトルネコ系ローグライク。リズムに合わせて敵も動くのでゆっくり考えている暇がない。難しそうだけどやっていくうちにけっこうなんとかなる？ 好きな曲でプレイすることもできる。
国産のトルネコ風ローグライク。体当たりで攻撃するオーソドックスなローグライクだが、画面の左端から世界が崩壊していくので、常に右に右にと移動を強いられる。Chun Softが「不思議のクロニクル 振リ返リマセン勝ツマデハ」というタイトルでリメイクしてる。98円。
The Flame in the Flood / 444円
少女が筏で川を下りながら、島や陸地に立ち寄って物資を集め、素材を合成していろいろ作っていくサバイバルアクションアドベンチャー。物資管理が重要なのはもちろん、水や寒さなどの体調管理も大事。クマよりも敗血症が怖い。
NEOVERSE / 318円
SFぽいSlay the Spire系カードバトル。カードで攻撃や防御して敵と戦い、ランダムで入手したカードやスキルで自身を強化していく。提示された種類順でカードを使って繰り出すコンボ、敵の攻撃をぴったりのシールドで受け止めるパリイなど、カードの強さだけではなく選び方が戦略となる。敵も味方も3Dグラフィックス。主人公の女性キャラが美麗で際どい衣装はあるけどエッチ要素はないです。
不思議の国のアリスをモチーフにした3Dアクション。ダークで大人なアリスの心の中のワンダーランドが何者かに侵食され、その世界をアリス自身が旅をするというお話。ヴォーパルナイフぶんぶん振り回すがっつりアクション。マップごとにがらりと雰囲気の変わる狂気の世界観も良い。
横スクドット絵の殺し屋？シューティングアクション。ドット絵のくせにロール回避したり物陰に隠れたりする。特徴的な能力を持った複数のプレイヤーキャラがいる。カオスでおバカな世界観。
Saints Row: The Third / 490円
GTA系ギャングオープンワールドTPS。ギャングのボスになってあれやこれややっていく。イベントやミニゲームをこなしていくと支配力が上がり地域を支配する感じ。衣装やらイベントやら、良い意味で全体的にギャグっぽい。下ネタへの許容力が必要。
Cargo Commander / 310円
セールじゃないのにこの値段！ 宇宙で重力場を使って廃棄されたカーゴを呼び集め、その中を探索して貴重品を集めていく横2Dアクション。壁や床はドリルで穴あけ可能。カーゴは個々に重力方向が違っていて、入るとその重力方向へ落下する。カーゴ内にはエイリアンが巣食っていて戦闘になるが、弾薬には限りがあるので注意。
And the LORD came down to see the bukuma and the tower, which the children of men builded. Go to,let us go down, and there confound their language, that they may not understand one another's speech. Therefore is the name of it called Bukome.
(エホバ降りて、彼の人々の建つるブクマと塔を見給えり。いざ我等降り、彼処にて彼等の言葉を乱し、互いに言葉を通ずることを得ざらしめん。故にその名は、ブコメと呼ばる。)
Never quite sure where you stand
Your mood a fickle thing, a constant clown
You rise with the sun, full of energy and light
But by the time the day is done, you're drained of all your might
You try to keep up, to fight the good fight
But the world is a harsh place, and it's a never-ending plight
Hoping and praying for a brighter way
But still you struggle, and still you strive
Weak man, you're a survivor, and that's no small feat to achieve
So hold your head up high, and don't give in
For even in your darkest hours, the light will always win
Weak man, you are strong, and you are brave
And though the journey may be tough, you'll find your way to the grave
So keep on pushing, and never lose sight
ここ1年で初めてはてなブックマーク日毎の総合人気エントリ入りしたドメインからのホットエントリ、ブクマ数順トップ30
| ブクマ数 | タイトル | ドメイン |
|---|---|---|
| 2287 | 自己肯定感の話 ① | sutekibungei.com |
| 1344 | 伝わる文章 ｜ 基本要素 ｜ SmartHR Design System | smarthr.design |
| 1089 | ２０２２年カタールW杯、日本対ドイツのレビュー - pal-9999のサッカーレポート | pal-9999.hatenablog.com |
| 1020 | Elon Musk は Twitter で何をしようとしているのか - The Decisive Strike | blog.nagayama.dev |
| 915 | 今日 Twitter 日本法人を解雇された皆さんへ #OneTeam - The Decisive Strike | blog.nagayama.dev |
| 775 | LAN配線マンションの回線を直した話 | skmz.one |
| 636 | 現在の森保ジャパンの攻撃とその問題点について - pal-9999のサッカーレポート | pal-9999.hatenablog.com |
| 620 | webエンジニアの「業務委託単価表」が公開 - Digital Shift Times（デジタル シフト タイムズ） その変革に勇気と希望を | digital-shift.jp |
| 595 | なぜ美人を美人と褒めてはいけないのか？ オヤジさんのためのジェンダー問題シン常識 ｜ ライフスタイル ｜ LEON レオン オフィシャルWebサイト | www.leon.jp |
| 546 | ヤマト運輸株式会社 ｜ GitHub | github.co.jp |
| 509 | 最近のフロントエンドフレームワークに対する認識とお気持ちの整理 - console.lealog(); | lealog.hateblo.jp |
| 476 | 東北の男性と結婚した外国人女性たちの経験。「不可視化」の理由と託された言葉の数々。#移住女性の声を聴く｜ニッポン複雑紀行 | www.refugee.or.jp |
| 473 | 【勉強法】『一生頭がよくなり続ける すごい脳の使い方』加藤俊徳 : マインドマップ的読書感想文 | smoothfoxxx.livedoor.biz |
| 471 | 語り手が異常な小説が読みたい - 千年先の我が庭を見よ | kiloannum-garden.hatenablog.com |
| 451 | 【2022年 最新版】厳選QOLが爆上がりした買ってよかったアイテム紹介（デスク編・iPad編・整理編・エンタメ編・サービス編） | mitsuch.com |
| 444 | 色々試して行き着いた読書方法 | iwashi.co |
| 443 | 【お詫びと自主回収のお知らせ】社長に内緒で玉ねぎを入れすぎた 玉ねぎファンに贈るシャリシャリ玉ドレ200ml ｜ 2022年 ｜ ニュース ｜ 綿半公式ページ | watahan.jp |
| 418 | MF文庫J編集部よりお詫びとお知らせ ｜ ニュース ｜ MF文庫J オフィシャルウェブサイト | mfbunkoj.jp |
| 411 | Twitterはサービス終了するのか？ | www.bluechronicle.jp |
| 408 | Twitter での 2年 · eed3si9n | eed3si9n.com |
| 368 | 国立天文台が撮影した2022年11月8日の皆既月食と天王星食｜国立天文台(NAOJ) | www.nao.ac.jp |
| 367 | Stable Diffusionを使って「いらすとや風画像生成モデル」を作った話 - ぬいぐるみライフ？ | mickey24.hatenablog.com |
| 357 | 最近Reactを始めた人向けのReact Hooks入門 | sbfl.net |
| 355 | たかやん考：ネットラッパーの揺曳する身体と「病み」の美学、そして「エンパワメント」 - ハイパー春菊サラダボウル | namahoge.hatenadiary.com |
| 352 | 赤色の缶の「サクマ式ドロップス」で知られる佐久間製菓（株）が廃業へ、原材料高騰が影響 | www.tsr-net.co.jp |
| 342 | 『マネーフォワード ME』無料会員さまの連携上限数の変更、およびサービスの将来像について｜マネーフォワード ホームカンパニー公式note | note.home.moneyforward.com |
| 323 | 【重要な追記あり】世界初のフルダイブVRMMORPG《ソードアート・オンライン》の正式サービスが開始 | dengekionline.com |
| 322 | GA4の計測設計には設計ドキュメントが重要な件 - ブログ - 株式会社JADE | blog.ja.dev |
| 315 | 「ザ・ルンペンブルジョワジー」 - tarafuku10 の作業場 | tarafuku10working.hatenablog.com |
| 306 | iPhoneで「ガスト」検索しようとするも「がす」の『す』でSafariが落ちる！？ – ｋｏｔｏｔｏｋａ | kototoka.com |
ファン「うおおおおおおおおおおおおおおおおおおおおおお！！！！！！！トイレ出待ちで内容を聞いて１００回連続でノーウンチだ！！！！！つまり！！！！！アイドルはウンチしない！！！！！！！！！！！！アイドルは天使だったんだ！！！！！！！」
ファン達「「「「「「「うおおおおおおおおおおおおお」」」」」」」」
ファン「ふああああああああああああああああああああああ！！！！！我々は騙されていた！アイドルは本当はウンチをしていたんだ！！！！アイドルはユダ！！！！サタン！！！！！聖戦士よ剣を取れ！！！！！」
ファン達「「「「「「「ぬおおおおおおおおおお！！！我ら聖オチンポ騎士団の誓いにより！！！闇に落ちし雌豚に天誅を下さん！！！！！One for CHIMPO！！All for CHIMPO！！」」」」」」」
これに対して「妄想を不用意に加速さた事務所やアイドルの側に逆恨みをされるにたる要因があるので諦めて憎しみを受け止めろ」ってのは暴論だといつも感じている
煽ってるのかな？
https://staff.tumblr.com/post/700564142648606720/hi-were-introducing-completely-useless-blue
We’re introducing Important Blue Internet Checkmarks here on Tumblr. They’re a steal at $7.99—that’s cheaper than some other places, when you consider that you get not one but TWO checkmarks for your blog on web only (for now). Why, you ask? Why not? Nothing matters!
¯\_(ツ)_/¯
他店より安いですよ！
なんでって？ どうでもいいじゃん！ ¯\_(ツ)_/¯
This is not a verification status; it's an Important Blue Internet Checkmark, which in 2022 is just as legit. Also the Important Blue Internet Checkmark may turn into a bunch of crabs at any time🦀
これは別に認証マークではなくて "インターネットでなんだか重要な青色チェックマーク" です
なのでいつカニの群れに変わるかわかんないよ🦀
最初の公判では、結審の後、判決が言い渡される前に、一方の当事者にとって重要な証拠が明らかになりました。 当事者はこれを提出し、裁判の再開を申請したが、却下された。 当然のことながら、当事者は高等裁判所に上訴した。
しかし、高裁は新たな証拠の陳述を無視し、一審の捜査終結前に提出された証拠のみを認め、一審の判決を確定した。
In the first trial, after completion of the investigation, and before derivering sentence, important evidence for one party emerged. The party filed this and applied to reopen the trial, but it was denied. The party naturally appealed to the High Court.
However the High Court disregarded the statement of the new evidence, allowing only the evidence submitted before the investigation conclusion of the first trial, and hold the sentence of the first trial.
Judges' easy mode thwarts proof efforts.
切れたから続き
ひろかわたいちろう
竹に雀
山漬け
ひろみの命
スパシーボー
シャノンの定理
モケーレ ムベンベ
七人ミサキ
江戸の黒豹
ゾゾ プー
ぬぞぷり
正しい世界征服のあり方
ドロレス・ヘイズ
ロビン グッド フェロ
ピュラリス
オー･チンチン
ワンツーどん
東一色
ルルスの術
チームデミニ
毬藻の歌
SeeNa 攻略
ぶるまー ２０００ 攻略
ワクワク あの頃 ぶるまー ２０００
毒 エウー
ommel cerumen trick
真実の人
ザ・ヨーム
よみもの専科
だめニャルラ
O, Sinn, der Sinn
エクピロシスの炎
おやじの海
ムサシ！ＢＵＧＥＩ伝！！
FFだけど】FINAL FANTAZY I・II【ロマサガ】 3
茜街奇譚
オガム文字
ローグライクゲームのいい加減な
双頭鷲の紋章
真口の大神
レンヌ・ル・シャトーの謎
黄泉戸喫
グンニョキ
バルジつき
ハナアルキ
Snickersnee
その者の首を刎ねよ
星犬シリウス
スーパーレール
ウィザードリィ 得屋
スパイラルマタイ
ク・リトル・リトル 荒俣
横スクロール シューティング フック アーケード 引っ掛ける
３年で優勝の狙えるチーム
クヴァシル
ヤスウェア
宇宙終末十億年前
伝染性精神病
私のビートルズ
きくたけゲー
榎本 武揚
昴 七姉妹
一等輸送艦
滅・昇龍拳
スペースジェットモグラ
楠正成 菊水
地底王国 デロ
グレーの金魚
山と谷を越えて
テレンス ダービー
吸血エイリアン
良栄丸事件
Ki-83 速度
Ta152 高度
しなちく 割り箸
