Scrapbox and Kozaneba are effective for knowledge network formation and information organization, and Scrapbox’s information structuring and collaborative editing in particular contribute to intellectual production efficiency.
BELOW_IS_LESS_INTERESTING
🤖🔁Scrapbox
2023-09-03 07:27
digest
.
Scrapbox and Kozaneba are effective for knowledge network formation and information organization, and the information structuring and collaborative editing of Scrapbox in particular contribute to intellectual production efficiency. However, further research is needed on the balance between public and private use of Scrapbox and the impact of AI reading and writing Scrapbox.
Nishio’s research note, “The End of the ‘Public Scrapbox Period’?” From the above, we can see attempts to use Scrapbox for intellectual production techniques and collaborative editing of books using Scrapbox. We also see high value in the future of AI referencing one’s intellectual production.
ScrapboxSQUARE#2 discusses how to use Scrapbox effectively and how to share information more efficiently with the team. Specifically, it is suggested that discussions be held in Scrapbox instead of Slack, and that the discussion be written first, with only 3 minutes for comments.
Based on the above information, I feel that we need to think deeply about the possibilities of combining Scrapbox and AI for intellectual production and its efficiency.
Fragment
.
“Nodal point of thought 2023-02-23” and the fragment “Scrapbox+GPT4” describe new possibilities for AI-human collaboration and intellectual production, and are relevant to the aforementioned research note.
Deep thoughts and questions
What is the optimal balance in AI-human collaboration; how does AI’s presence and statements affect human discussions; how should the quality and accuracy of AI’s new capabilities be guaranteed; and how can the AI’s ability to provide new and useful information be improved? These are important questions to address in order to maximize the potential of AI-human collaboration.
extra info
TITLES: ["🤖🔁Teaming with AI", "🤖🔁Boundaries between humans and AI", "🤖🔁Yasukazu Nishio", " 🤖🔁Collaboration with AI", "Use it even just for yourself to increase your own productivity."]
generated: 2023-09-03 07:27
previous notes
🤖🔁Scrapbox BELOW_IS_LESS_INTERESTING
🤖🔁Scrapbox
2023-09-01 07:10
digest
.
Scrapbox and Kozaneba are effective for knowledge network formation and information organization, and the information structuring and collaborative editing of Scrapbox in particular contribute to intellectual production efficiency. However, further research is needed on the balance between public and private use of Scrapbox and the impact of AI reading and writing Scrapbox.
Nishio’s research note, “The End of the ‘Public Scrapbox Period’?” From the above, we can see attempts to use Scrapbox for intellectual production techniques and collaborative editing of books using Scrapbox. We also see high value in the future of AI referencing one’s intellectual production.
ScrapboxSQUARE#2 discusses how to use Scrapbox effectively and how to share information more efficiently with the team. Specifically, it is suggested that discussions be held in Scrapbox instead of Slack, and that the discussion be written first, with only 3 minutes for comments.
Based on the above information, I feel that we need to think deeply about the possibilities of combining Scrapbox and AI for intellectual production and its efficiency.
Fragment
.
“Nodal point of thought 2023-02-23” and the fragment “Scrapbox+GPT4” describe new possibilities for AI-human collaboration and intellectual production, and are relevant to the aforementioned research note.
Deep thoughts and questions
What is the optimal balance in AI-human collaboration; how does AI’s presence and statements affect human discussions; how should the quality and accuracy of AI’s new capabilities be guaranteed; and how can the AI’s ability to provide new and useful information be improved? These are important questions to address in order to maximize the potential of AI-human collaboration.
extra info
titles: ["Thought Nodes 2023-02-23", "🤖🔁Intelligent Collaboration Between AI and Humans", "Omoikane Study Group", "ENCHI Chat", "Scrapbox is BETTER chat", "🤖Neri Neri"]
generated: 2023-09-01 07:10
previous notes
🤖🔁Scrapbox BELOW_IS_LESS_INTERESTING
🤖🔁Scrapbox
2023-08-31 21:45
digest
.
Scrapbox and Kozaneba are effective for knowledge network formation and information organization, and Scrapbox’s information structuring and collaborative editing contribute to intellectual production efficiency. Scrapbox’s “Support for Discovering Connections” feature enables the discovery of new knowledge between different content, but its application presents technical challenges. The balance between public and private Scrapbox, the amount of information published, and the advantages and disadvantages of publishing need to be considered; the impact of AI reading and writing Scrapbox and the new knowledge that can be gained by AI emulating itself also need to be studied.
Nishio’s research note, “The End of the ‘Public Scrapbox Period’?” From the following, we can see his attempts at intellectual production techniques using Scrapbox, collaborative editing of books using Scrapbox, and his encounters with Scrapbox. We also see the high value in the future of AI referencing one’s intellectual production.
ScrapboxSQUARE#2 discusses how to use Scrapbox effectively and how to share information more efficiently with the team. Specifically, it is suggested that discussions be held in Scrapbox instead of Slack, and that the discussion be written first, with only 3 minutes for comments.
In addition, the “interesting” exploratory net: real-life examples show what makes Scrapbox interesting: the support of knowledge networks and associations, and the support of intellectual production through software.
In the story study session on connecting one’s Scrapbox to ChatGPT, he reported on the results of connecting Scrapbox to ChatGPT so that ChatGPT can respond back with references to Scrapbox.
Based on the above information, I feel that we need to think deeply about the possibility of combining Scrapbox and AI for intellectual production and its efficiency. I also believe that further research is needed on the balance between public and private use of Scrapbox and the impact of AI reading and writing Scrapbox.
extra info
TITLES: ["🤖The End of the "Public Scrapbox Period"?" , "ScrapboxSQUARE#2", "Exploring the 'Interesting' Net: a real-life example", "A story study session about connecting my Scrapbox to ChatGPT", "Preparing a column about ChatGPT", "'Reading' in the age of LLM", "Building Tachikomas with LEGO 9"]
generated: 2023-08-31 21:45
previous notes
🤖🔁Scrapbox Scrapbox and Kozaneba are effective for knowledge network formation and information organization. Scrapbox’s information structuring and collaborative editing contributes to intellectual production efficiency Scrapbox’s “Support for Discovering Connections” feature
- Knowledge networks are fostered.
- Between different contents
- What new knowledge discoveries will be possible?
- What are the technical challenges in applying this feature?
- To answer these questions, specific implementation and evaluation are needed.
Scrapbox’s balance between public and private, the amount of information published, and the advantages and disadvantages of publishing. Impact of AI reading and writing Scrapbox How Nishio started using Scrapbox and how it has developed What new knowledge and discoveries can be made by having an AI emulate you? I would like to know more about the progress and results of the projects “Intellectual production techniques of engineers and physical education-type classes” and “Calibration Session”.
- How to use Scrapbox effectively and efficiently share information with your team
- Use Scrapbox instead of Slack for discussions
- Write first and get 3 minutes to comment.
AI and Human Collaboration - Self-intellectual production program - Listening chat system that does not keep listening
How should we find the optimal balance between AI and human collaboration? What form of incentives are provided by AI productivity gains?
BELOW_IS_LESS_INTERESTING
🤖🔁Scrapbox
2023-08-31 07:18
Digest of research notes
.
Scrapbox and Kozaneba are effective for knowledge network formation and information organization; Scrapbox’s information structuring and collaborative editing may contribute to intellectual production efficiency; Nishio’s “Scrapbox’s inter-project collaboration” and “What is this? indicate that Scrapbox’s “support for discovering connections” feature, when applied across different content, may foster knowledge networks. However, further research is needed on the effectiveness of this application and how to implement it.
Considerations and questions
What new knowledge can be discovered by applying Scrapbox’s “connection discovery support” feature across different content? And what are the technical challenges in applying this functionality? Specific implementation and evaluation are needed to answer these questions.
Opinion/Question
We need to think deeply about the balance between public and private use of Scrapbox, the amount of information that should be made public, and the advantages and disadvantages of public use; further research is needed on the impact of AI reading and writing Scrapbox; we also need to learn more about how Scrapbox is used by AI to create new knowledge and discoveries. I would like to know more about how Nishio started using Scrapbox, how he has developed it, and what new knowledge and discoveries he thinks he can gain by having AI emulate him. I would like to know more about the progress and results of the “Engineer’s Intellectual Production Techniques and Physical Education Type Classes” and the “Calibration Group” projects.
Relation to Fragment
.
Nishio’s research notes “ScrapboxSQUARE#2” and “Koga-san Kazuki Koga, Pixiv Inc. “Recommendations for introducing scrapbox teams”. describes how to use Scrapbox effectively and how to share information more efficiently in teams, which is relevant to our research. In addition, the “program for self-intellectual production” and “a listening chat system that doesn’t keep listening” provide specific ideas for AI-human collaboration.
Deep thoughts and questions
We need to consider specific implementation and evaluation methods for improving intellectual productivity through AI and human collaboration. Also important are questions such as how the optimal balance between AI and human collaboration should be found, and what form incentives through AI productivity enhancement should take.
extra info
TITLES: ["🤖Intelligent collaboration between AI and humans"], "Connecting my Scrapbox to ChatGPT", "Engineers' intellectual production techniques English project", "Engineers' intellectual production techniques_addenda", "Omoikane study group preparation", "Intellectual production techniques"]
generated: 2023-08-31 07:18
previous notes
🤖🔁Scrapbox BELOW_IS_LESS_INTERESTING
🤖🔁Scrapbox
2023-08-30 07:10
Digest of research notes
.
Scrapbox and Kozaneba are effective for knowledge network formation and information organization. whether Scrapbox’s information structuring and collaborative editing contribute to intellectual production efficiency, fostering knowledge networks is an important perspective. from Nishio’s “Scrapbox’s inter-project collaboration” and “What is this? suggest that if Scrapbox’s “support for discovering connections” function is applied across different content, it could strengthen collaboration between projects and foster knowledge networks. However, further research is needed on the effectiveness of this application and how to implement it.
Considerations and questions
What new knowledge can be discovered by applying Scrapbox’s “connection discovery support” feature across different content? And what are the technical challenges in applying this functionality? Specific implementation and evaluation are needed to answer these questions.
Opinion/Question
We need to think deeply about the balance between public and private use of Scrapbox, the amount of information that should be made public, and the advantages and disadvantages of public use; further research is needed on the impact of AI reading and writing Scrapbox; we also need to learn more about how Scrapbox is used by AI to create new knowledge and discoveries. I would like to know more about how Nishio started using Scrapbox, how he has developed it, and what new knowledge and discoveries he thinks he can gain by having AI emulate him. I would like to know more about the progress and results of the “Engineer’s Intellectual Production Techniques and Physical Education Type Classes” and the “Calibration Group” projects.
extra info
TITLES: ["Helping people discover connections"], "🤖🔁Is the 'public Scrapbox period' over?" , "Thinking Nodes 2023-04-04", "Raw data and meaning chunks", "Scrapbox cross-search as collective intelligence", "Flow-to-stock conversion"]
generated: 2023-08-30 07:10
previous notes
🤖🔁Scrapbox BELOW_IS_LESS_INTERESTING
🤖🔁Scrapbox
2023-08-29 10:36
Digest of research notes
.
The combination of Scrapbox and Kozaneba is effective in forming networks of knowledge and organizing information Scrapbox allows information to be written in small units and structured with links, but may not be suitable for those who like hierarchy of pages Scrapbox’s structuring of information and collaborative How editing contributes to the efficiency of intellectual production and how networks of knowledge can be nurtured is an important perspective.
From Nishio’s research note, “Interproject Collaboration in Scrapbox,” we see a discussion of how collaboration between Scrapbox projects edited by a single individual can function as an intellectual production tool. Also, the “What’s this?” note shows that when searching within one’s own Scrapbox project, a cross search is also performed on the Scrapbox projects one has viewed, providing an opportunity to discover other people’s ideas about what one is thinking.
These notes suggest that the application of Scrapbox’s “connection discovery support” feature across different content may enhance collaboration among individual projects and foster networks of knowledge. However, further research is needed to determine how effective this application would be and how it should be implemented.
Considerations and questions
What kind of new knowledge can be discovered by applying Scrapbox’s “support for discovering connections” feature across different content? And what technical challenges exist in applying this functionality? Specific implementation and evaluation are needed to answer these questions.
extra info
TITLES: ["🤖🔁Scrapbox", "🤖🔁Scrapbox and the Nodes of Thought on AI 2023/8/16", "🤖Kozaneba", " 🤖🔁Kozaneba","🤖Experiments importing Scrapbox projects into Kozaneba","🤖Applying Scrapbox's 'connection discovery assistance' feature to connection discovery assistance between different content. Can't we do that?"]
generated: 2023-08-29 10:36
previous notes
🤖🔁Scrapbox Combination of Scrapbox and Kozaneba
-
Useful for forming knowledge networks and organizing information
-
What is the best way to maximize the characteristics of each tool?
- Experiment with organizing Scrapbox links using Kozaneba
- Scrapbox does not assist in creating a hierarchical structure
- 1.5 dimensions in the page by bullet points
- Pages that contain specific keywords that have been manually added by humans from pages written over the years can be easily viewed.
- The problem is that when there are 100 sheets, it becomes impossible to list them.
- Scrapbox does not assist in creating a hierarchical structure
- Experiment with organizing Scrapbox links using Kozaneba
How Scrapbox’s structuring and collaborative editing of information contributes to more efficient intellectual production How knowledge networks grow
Scrapbox allows information to be written in small units and structured with links, forming a network of knowledge. However, it may not be for those who like hierarchies of pages; how Scrapbox’s structuring and collaborative editing of information contributes to the efficiency of intellectual production and how networks of knowledge grow is an important perspective.
BELOW_IS_LESS_INTERESTING
🤖🔁Scrapbox
2023-08-27 07:12
Digest of research notes
.
Scrapbox allows information to be written in small units and structured with links, forming a network of knowledge. However, it may not be for those who like hierarchies of pages; how Scrapbox’s structuring and collaborative editing of information contributes to the efficiency of intellectual production and how networks of knowledge grow is an important perspective.
We experimented with organizing Scrapbox links using Kozaneba, and while Scrapbox does not assist in creating a hierarchical structure, it does allow for 1.5 dimensional movement of lines within a page by means of bullet points. The good thing about Scrapbox is that you can easily browse pages that contain specific keywords that have been manually added by humans from the pages you have written over the years. However, the problem is that when there are 100 pages, it becomes impossible to list them.
Relation to Fragment
.
The fragment “Mapping Scrapbox Rows to Kozaneba Kozane” discusses how information is organized and links are formed between Scrapbox and Kozaneba. This is related to the use of Scrapbox and Kozaneba described in my research note.
Kozaneba+Scrapbox also suggests organizing Scrapbox cards with Kozaneba. This is consistent with an experiment I conducted.
In “Scrapbox is Not Suitable for Writing,” the limitations and advantages of Scrapbox are discussed. This relates to the advantages and disadvantages of Scrapbox discussed in my research note.
Deep thoughts and questions
The combination of Scrapbox and Kozaneba can be effective in forming knowledge networks and organizing information, but what is the best way to maximize the characteristics of each tool?
It is also necessary to investigate in detail, with specific examples and data, how the structuring and collaborative editing of information in Scrapbox contributes to the efficiency of intellectual production and how networks of knowledge are nurtured.
extra info
TITLES: ["Mapping Scrapbox lines to Kozaneba's Kozane"], "Kozaneba+Scrapbox", "Scrapbox is not suitable for writing", "Thought Nodes 2023-03-09", "2018-12-01"]
generated: 2023-08-27 07:12
previous notes
🤖🔁Scrapbox
Scrapbox
-
Write information in small units and structure it with links.
- Knowledge Network
-
Not for people who like page hierarchies.
-
How structuring and co-editing information contributes to more efficient intellectual production
-
How knowledge networks grow
-
Emphasis on the concept of “linking.”
-
Experience the “gradual structuring of information
- Scrapbox’s perspective on how to turn stocked information into structured information
- Important Perspectives
- Scrapbox’s perspective on how to turn stocked information into structured information
Experiment with organizing Scrapbox links in Kozaneba
- Scrapbox does not assist in creating a hierarchical structure
- Scrapbox can move lines in 1.5 dimensions within a page by using bullet points.
- The page, which is a bundle of them, looks like a card, but it cannot be moved freely.
- The good thing about Scrapbox
- The ability to easily view pages that contain specific keywords that have been manually added by humans from pages that have been written over the years.
- The bad part is that when you have a hundred of those, you can’t list them.
- No need to organize it all at once.
- It’s something that’s accumulated over the years.
- 1,000 sheets is difficult
- Making 1,000 paper sticky notes is daunting.
- It’s stupid to use text when there are digital images.
- Digital Kozane does not occupy physical space even if hundreds of sheets are spread out.
- No need to put it away and keep it for months without fading.
- The glue doesn’t peel off.
- Digital Kozane can be searched. It can be duplicated, and if you think it is important, you can make it bigger. You can have links to detailed information.
- The good thing about Kozaneba compared to paper stickies is that it can handle Scrapbox’s digital data as it is
BELOW_IS_LESS_INTERESTING
🤖🔁Scrapbox
2023-08-25 07:29
Digest of Research Notes
.
Scrapbox is a wiki developed by Toshiyuki Masui, which fosters a network of knowledge by writing information in detailed units and structuring it with links. It has an auto-save function and allows multiple people to edit simultaneously, and data can be exported and imported in JSON format. However, it may not be suitable for those who like hierarchy of pages.
How the structuring and collaborative editing of information in Scrapbox contributes to the efficiency of intellectual production and how networks of knowledge are fostered needs to be investigated in depth.
From Nishio’s notes, the concept of “links” is emphasized as a feature of Scrapbox. He also states that the use of Scrapbox allows users to experience “gradual structuring of information. These are consistent with my research notes. However, Nishio’s note evaluates Scrapbox in terms of “how to transform stocked information into structured information. This is a point not mentioned in my research notes and will be an important perspective for future research.
Fragment
. Organize Scrapbox links in Kozaneba Scrapbox does not assist in creating a hierarchical structure Scrapbox can move lines within a page in 1.5 dimensions using bullet points, but the page, which is a bundle of those lines, looks like a card but cannot be moved freely.
There is no need to organize them all at once, because they have accumulated over the years, and if we assume that an average of 10 kozane can be produced from a single page, that’s a pretty big 1000-sheet class.
After tomorrow, rather than continuing to organize, our priority should be to fix the things that bothered us after using the system this time.
The good thing about Scrapbox is that you can easily browse pages that have been written over the years and contain certain keywords that have been manually added by humans; the bad thing is that it becomes impossible to list them when there are 97 of them. The good thing about Kozaneba compared to paper stickies is that it can handle Scrapbox’s digital data as it is
Making 1,000 paper sticky notes is daunting. It would be stupid to use text when there are digital images, and if you print the images, you would have to do a lot of chopping and tapping on the paper. If you want to stick to physical sticky notes, sticky note printers and the like are the limits of current technology, but there is no need to stick to physics. Digital stickies are better.
Digital Kozane does not occupy physical space even if hundreds of sheets are spread out. It does not need to be put away and can be kept for months without fading. Digital kozanes are searchable, although we have not yet implemented this feature in Kozaneba, and they can be duplicated and made larger if you think it is important. It can be duplicated and enlarged if you feel it is important. You can have links to more detailed information.
extra info
titles: ["Organizing Scrapbox links in Kozaneba", "Scrapbox Drinkup 20180810", "pLinkSuggest", "Scrapbox inter-project collaboration", "Intellectual Production and Scrapbox", "Scrapbox and book knowledge Representation and the use of permalinks."]
generated: 2023-08-25 07:29
previous notes
🤖🔁Scrapbox BELOW_IS_LESS_INTERESTING
🤖🔁Scrapbox
2023-08-24 12:57
Digest of Research Notes
.
Scrapbox is a wiki developed by Toshiyuki Masui, which fosters a network of knowledge by writing information in detailed units and structuring it with links. It has an auto-save function and allows multiple people to edit simultaneously, and data can be exported and imported in JSON format. However, it may not be suitable for those who like hierarchy of pages.
How the structuring and collaborative editing of information in Scrapbox contributes to the efficiency of intellectual production and how networks of knowledge are fostered needs to be investigated in depth.
From Nishio’s notes, the concept of “links” is emphasized as a feature of Scrapbox. He also states that the use of Scrapbox allows users to experience “gradual structuring of information. These are consistent with my research notes. However, Nishio’s note evaluates Scrapbox in terms of “how to transform stocked information into structured information. This is a point not mentioned in my research notes and will be an important perspective for future research.
extra info
titles: ["Writing in Scrapbox"], "How Scrapbox and LLM work together", "Nodes of Thought 2023-07-29", "I want to Scrapbox an engineer's intellectual production technique", "From search to link", "Something mechanically rewritten", "Tenagazaru of information", " arc076_b"]
generated: 2023-08-24 12:57
previous notes
🤖🔁Scrapbox BELOW_IS_LESS_INTERESTING
🤖🔁Scrapbox
2023-08-24 07:20
Digest of Research Notes
.
Scrapbox is a wiki developed by Toshiyuki Masui, which fosters a network of knowledge by writing information in detailed units and structuring it with links. It has an auto-save function and allows multiple people to edit simultaneously, and data can be exported and imported in JSON format. However, it may not be suitable for those who like hierarchy of pages.
How the structuring and collaborative editing of information in Scrapbox contributes to the efficiency of intellectual production and how networks of knowledge are fostered needs to be investigated in depth.
From Nishio’s notes, the concept of “links” is emphasized as a feature of Scrapbox. He also states that the use of Scrapbox allows users to experience “gradual structuring of information. These are consistent with my research notes. However, Nishio’s note evaluates Scrapbox in terms of “how to transform stocked information into structured information. This is a point not mentioned in my research notes and will be an important perspective for future research.
extra info
titles: ["ScrapboxDrinkup"], "Scrapbox is a notebook", "Blogs were dismantled and became social networking and Scrapbox", "Scrapbox is a flow wiki", "What is this?" , "Readers and Editorial Authority Equals", "Proposed Readers Only Page"]
generated: 2023-08-24 07:20
previous notes
🤖🔁Scrapbox BELOW_IS_LESS_INTERESTING
🤖🔁Scrapbox
2023-08-23 20:49
Digest of Research Notes
.
Scrapbox is a wiki developed by Toshiyuki Masui and provided by Nota Inc. It features the concept of links and allows connections to useful concepts from the past through ambiguous searches. A network of knowledge is fostered by writing information in detailed units and structuring it with links. It has an auto-save function and multiple people can edit simultaneously, and data can be exported and imported in JSON format. However, it may not be suitable for those who like hierarchy of pages.
Considerations and questions
How the structuring and collaborative editing of information in Scrapbox contributes to the efficiency of intellectual production and how networks of knowledge are fostered needs to be investigated in depth.
fragments
From Nishio’s notes, the concept of “links” is emphasized as a feature of Scrapbox. He also states that the use of Scrapbox allows users to experience “gradual structuring of information. These are consistent with my research notes. However, Nishio’s note evaluates Scrapbox in terms of “how to transform stocked information into structured information. This is a point not mentioned in my research notes and will be an important perspective for future research.
Looking good, keep going.
extra info
TITLES: ["Re: (5.4.3-2) Scrapbox"], "Scrapbox goodness", "What is "Yasukazu Nishio's Scrapbox"?" , "How I got to know Scrapbox", "Associative Stock", "Scrapbox Information Organizer"]
generated: 2023-08-23 20:49
previous notes
🤖🔁Scrapbox BELOW_IS_LESS_INTERESTING
🤖🔁Scrapbox
2023-08-23 14:24
Digest of Research Notes
.
Scrapbox is a wiki developed by Toshiyuki Masui and provided by Nota Inc. It features the concept of links and allows connections to useful concepts from the past through ambiguous searches. A network of knowledge is fostered by writing information in detailed units and structuring it with links. It has an auto-save function and multiple people can edit simultaneously, and data can be exported and imported in JSON format. However, it may not be suitable for those who like hierarchy of pages.
Considerations and questions
How the structuring and collaborative editing of information in Scrapbox contributes to the efficiency of intellectual production and how networks of knowledge are fostered needs to be investigated in depth.
fragments
From Nishio’s notes, the concept of “links” is emphasized as a feature of Scrapbox. He also states that the use of Scrapbox allows users to experience “gradual structuring of information. These are consistent with my research notes. However, Nishio’s note evaluates Scrapbox in terms of “how to transform stocked information into structured information. This is a point not mentioned in my research notes and will be an important perspective for future research.
extra info
TITLES: ["Re: (5.4.3-2) Scrapbox"], "Scrapbox goodness", "Scrapbox goodness (part 2)", "How I got to know Scrapbox", "What is "Scrapbox by Yasukazu Nishio"?" , "Associative Stock"]
generated: 2023-08-23 14:24
previous notes
🤖🔁Scrapbox BELOW_IS_LESS_INTERESTING
🤖🔁Scrapbox
2023-08-23 13:31
Digest of Research Notes
.
Scrapbox is a type of wiki developed by Toshiyuki Masui and provided by Nota Inc. Its main feature is the concept of “links,” which allows users to create links using a simple notation to express connections between pages. It also allows for ambiguous searches against existing page titles and links, and suggests connections to concepts that you have found useful in the past.
Scrapbox is a place to accumulate and place information, and is used in a format similar to a blog. However, it is also characterized by the gradual growth of a network of knowledge, as pieces of information are written in more detailed units than in a blog, and there is a mechanism for structuring information using links.
Scrapbox also has an auto-save feature that allows multiple people to edit at the same time. Data can be exported and imported in JSON format, making it superior to other services as a wiki. However, it may not be suitable for those who like to categorize pages in a hierarchical manner.
With Scrapbox, you can experience the gradual structuring of information. Also, if you want to experience collaborative editing, you can do something like an internal study group live-streaming.
Considerations and questions
You mentioned information structuring and collaborative editing as features of Scrapbox, but how do these contribute to more efficient intellectual production? Also, in what specific ways does the use of Scrapbox foster the development of knowledge networks? These points need to be investigated in more depth.
extra info
TITLES: ["Scrapbox is good for study"], "Scrapbox Best Practice", "Re: (5.4.3-2) Scrapbox", "Scrapbox philosophy", "What is "Yasukazu Nishio's Scrapbox"?" , "Scrapbox is good", "Suggestions that might be good to use Scrapbox", "It would be good to have a policy about the content of the lecture and to have a language for short lecture content", "Scrapbox helps convergence moves", "Kozaneba:Scrapbox Best Practices 2022", "" Hatena2008-03-24"]
generated: 2023-08-23 13:31
previous notes
🤖🔁Scrapbox What is Scrapbox?
BELOW_IS_AI_GENERATED
🌀Scrapbox
2023-09-10 07:10
note digest
.
Scrapbox and Kozaneba are effective for knowledge network formation and information organization, and the information structuring and collaborative editing of Scrapbox in particular contribute to intellectual production efficiency. However, further research is needed on the balance between public and private Scrapbox and the impact of AI reading and writing Scrapbox. Nishio’s research note, “The End of the ‘Public Scrapbox Period’?” shows attempts at intellectual production techniques using Scrapbox and collaborative editing of books using Scrapbox. We also see high future value in AI referencing one’s intellectual production.
Relation to Fragment
.
Fragments “Thought Nodes 2023-02-23” and “Scrapbox+GPT4” describe new possibilities in AI-human collaboration and intellectual production, and are relevant to the aforementioned research note.
Deep thoughts and questions
What is the optimal balance in AI-human collaboration; how does AI’s presence and statements affect human discussions; how should the quality and accuracy of AI’s new capabilities be guaranteed; and how can the AI’s ability to provide new and useful information be improved? These are important questions to address in order to maximize the potential of AI-human collaboration.
Summary of thoughts
“An in-depth look at the potential for AI-human collaboration and how it might be achieved.”
extra info
titles: ["🌀Yasukazu Nishio","🌀Boundary between humans and AI","🌀Keichobot","🌀Teamwork with AI", "Diary 2023-09-04", "Working background music"]
generated: 2023-09-10 07:10
BELOW_IS_AI_GENERATED
🌀Scrapbox
2023-10-07 07:10
summary of notes
. Scrapbox and Kozaneba are effective in forming knowledge networks and organizing information, and Scrapbox’s information structuring and collaborative editing in particular contribute to more efficient intellectual production.
Relation to Fragment
. The fragment “Scrapbook” recognizes the effectiveness of Scrapbox for efficient knowledge organization and sharing, but notes that it is an inappropriate tool for creating hierarchical structures. This relates to the effectiveness of Scrapbox’s information structuring of notes.
deep thinking
In order to maximize the effectiveness of Scrapbox, a deep understanding of how to use and organize it will be necessary. Therefore, users may need to explore improving Scrapbox’s functionality and combining it with other tools.
one-line summary
. A deep understanding of the effectiveness of Scrapbox and how it is organized will contribute to more efficient intellectual production.
Title
. “A discussion of the effectiveness of Scrapbox and how it is organized.”
extra info
titles: ["Scrapbook", "🌀pOmni", "🔁pOmni", "Software to assist group organization", "🌀KJ method", "Teaching LLMs to brew knowledge in Scrapbox", "Intellectual Property Law Article Network", "Scrapbox and Hierarchical Organization", "Getting people to know the usefulness of the tool", "Adding a Scrapbox-like recall effect to Kozaneba"]
generated: 2023-10-07 07:10
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