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BELOW_IS_LESS_INTERESTING
🤖🔁AIと人間の知的な共同作業
2023-08-27 07:18
Digest of Research Notes
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Collaboration between Scrapbox and AI has the potential to increase intellectual productivity. new discoveries are made when AI generates text and humans add comments. it is important to find the optimal balance between AI and human collaboration. The generation of incentives through increased AI productivity should also be a focus of attention.
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.
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: ["Diary 2023-08-26", "Time efficiency of intellectual production", "Diary 2023-08-25", "An example of intellectual production in the process of transferring data from other media to Scrapbox", "Let GPT4 create metaphors", "Weaving knowledge program"]
generated: 2023-08-27 07:18
previous notes
🤖🔁Intelligent collaboration between AI and humans BELOW_IS_LESS_INTERESTING
🤖🔁AIと人間の知的な共同作業
2023-08-26 15:15
Digest of Research Notes
.
Collaboration between Scrapbox and AI has the potential to increase intellectual productivity; new discoveries are made when AI generates text and humans add comments; collaboration between AI and humans creates a new form of teamwork, and it is important to find the optimal balance between the two. It is also important to note the incentives generated by the increased productivity of AI.
Relation to Fragment
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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: ["ScrapboxSQUARE#2", "Intellectual production of engineers_addendum", "From search to link", "Intellectual production of engineers", "Explore "interesting" net:examples", "Scrapbox inter-project collaboration", "Intellectual production by yourself program", "Listen A chat system for listening that doesn't keep listening."]
generated: 2023-08-26 15:15
previous notes
🤖🔁Intelligent collaboration between AI and humans
Scrapbox and AI Collaboration
- Increased intellectual productivity
- AI generates sentences and humans add comments
- New Discoveries
- How does the presence and statements of AI affect human discussion?
- AI and Human Collaboration
- A New Form of Teamwork
- What is the optimal balance between AI and human collaboration?
- Incentives generated by AI productivity improvements
BELOW_IS_LESS_INTERESTING
🤖🔁AIと人間の知的な共同作業
2023-08-25 07:24
note digest
. Collaboration between Scrapbox and AI increases intellectual productivity; AI generates text and humans add comments, which leads to new discoveries; AI-human collaboration and new forms of teamwork need to be considered.
fragment digest
. “Nodal point of thought 2023-02-23” and “Scrapbox+GPT4” fragments describe new possibilities for AI-human collaboration and intellectual production.
Deep thoughts and questions
What is the optimal balance between AI and human collaboration; how does AI’s presence and statements affect human discussions; how should the quality and accuracy of AI’s new features be guaranteed; and how can the AI’s ability to provide new features be improved? These questions are important issues to be addressed to maximize the potential of AI and human collaboration.
Fragment Relevance
. The fragment “Omoikane Study Group” discusses a new form of teamwork between AI and humans, which is relevant to my research. The fragment “Preparation of Column 2 on ChatGPT” discusses the generation of incentives by increasing AI productivity, which is also relevant to my research.
extra info
TITLES: ["Omoikane study group"], "Diary 2023-06-08", "Preparation of column 2 on ChatGPT", "Nodes of thought 2019-10-14","\"Development of Japanese cultural AI 》:Plurality for global deliberation", "AI panel discussion"]
generated: 2023-08-25 07:24
previous notes
🤖🔁Intelligent collaboration between AI and humans BELOW_IS_LESS_INTERESTING
🤖🔁AIと人間の知的な共同作業
2023-08-24 12:49
note digest
. Scrapbox and AI collaboration is increasing intellectual productivity; AI writing sentences and humans adding comments facilitates new discoveries; the boundaries between AI and human writing and new forms of teamwork require further consideration.
fragment digest
. “Nodal point of thought 2023-02-23” and the “Scrapbox+GPT4” fragment describe new possibilities for AI-human collaboration and intellectual production.
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: ["Preparing a column about ChatGPT", "Thought Node 2023-05-22", "Bot to write in Scrapbox", "Thought Node 2023-08-10", "Talking to GPT4", "Thought Node 2023-03-09", "Dealing with AI"]
generated: 2023-08-24 12:49
previous notes
🤖🔁Intelligent collaboration between AI and humans BELOW_IS_LESS_INTERESTING
🤖🔁AIと人間の知的な共同作業
2023-08-24 07:13
note digest
. AI and humans collaborate to improve intellectual productivity using Scrapbox; AI writes sentences and humans add comments, facilitating rediscovery and continued use; references from AI will have value in the future; AI can be used as a reference for the book’s author; AI can be used as the author of the book; and humans can be used as the author of the book. It is possible to achieve better understanding by having the language model emulate you and you emulate the author of the book. However, the boundaries between AI and human writing and new forms of teamwork require further consideration.
fragment digest
. “Nodal point of thought 2023-02-23” and the fragment “Scrapbox+GPT4” describe new possibilities in AI-human collaboration and intellectual production, and are relevant to the aforementioned research note. The paper shares insights into the usefulness of centralized management of intellectual production using Scrapbox and emulation through language models.
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: ["Diary 2023-08-21", "Collaboration with AI", "From one subjectivity to many, not subjective or objective", "Preparing for the Omoikane study group", "On inviting people to your personal Scrapbox", "OpenAI's "Democratic inputs to AI" The story of my application to the "]
generated: 2023-08-24 07:13
previous notes
🤖🔁Intelligent collaboration between AI and humans Intellectual productivity improvement through AI and human collaboration is achieved using Scrapbox.
- AI writes sentences, humans add comments
- Rediscovery is facilitated and
- Continuous availability
- I’m not sure about this one.
- I’m not sure about this one.
- References from AI will have value in the future
- Better understanding by having the language model emulate you and you emulate the author of the book
- Emulating the author of the book” is going to be difficult.
- Emulating the author of the book” is going to be difficult.
- Needs further consideration
- Boundaries between AI and human writing
- A New Form of Teamwork
fragments digest
“Nodal point of thought 2023-02-23” and the fragment “Scrapbox+GPT4” describe new possibilities in AI-human collaboration and intellectual production, and are relevant to the aforementioned research note. The paper shares insights into the usefulness of centralized management of intellectual production using Scrapbox and emulation through language models.
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.
BELOW_IS_LESS_INTERESTING
🤖🔁AIと人間の知的な共同作業
2023-08-23 20:39
previous notes digest
- Language models emulate themselves and I emulate book authors for better understanding; boundaries between AI and human writing, new forms of teamwork, AI impact, and assurance of quality and accuracy of new features need further consideration.
fragments digest
“Nodal point of thought 2023-02-23” and the fragment “Scrapbox+GPT4” describe new possibilities in AI-human collaboration and intellectual production, and are relevant to the aforementioned research note. The paper shares insights into the usefulness of centralized management of intellectual production using Scrapbox and emulation through language models.
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: ["Intelligent Collaboration between AI and Humans", "Scrapbox+GPT4", "Nodal point of thought on Scrapbox and AI 2023/8/16", "Re: Collaboration with AI", "AI writes research notes daily", "Unexplored Junior LT"]
generated: 2023-08-23 20:39
previous notes
🤖🔁Intelligent collaboration between AI and humans BELOW_IS_LESS_INTERESTING
previous notes digest
We discussed how AI-human collaboration improves intellectual productivity. using Scrapbox, AI writes sentences and humans add comments, resulting in AI-human interaction. saving text in Scrapbox encourages rediscovery and continuous use of the text. The text can be stored in Scrapbox, which facilitates rediscovery and continuous use of the text. It will also be easily referenceable by the AI, which we believe will lead to high value in the future. We believe that better understanding can be achieved by interacting with books in a way that the language model emulates you and you emulate the author of the book. Some points that need further consideration include the boundaries between AI and human writing, new forms of teamwork between AI and humans, the impact of AI’s presence and statements on human discussions, and assurance of the quality and accuracy of AI’s new features.
fragments digest
“Nodal point of thought 2023-02-23” and the fragment “Scrapbox+GPT4” describe new possibilities in AI-human collaboration and intellectual production, which are relevant to the aforementioned research note. Specifically, they share discussions of the centralized management of intellectual production using Scrapbox and the usefulness of emulation with language models.
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: generated: 2023-08-21 17:14
previous notes
🤖Intelligent collaboration between AI and humans
AI and Human Collaboration
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Increase intellectual productivity
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Using Scrapbox, the AI writes sentences and humans add comments, resulting in AI-human interaction.
- Nodal point of thought 2023-02-23 Summary
- Storing “dead text” in Scrapbox promotes rediscovery and continued use of the text.
- Some users perceive value in the original text itself, so destructively “[starting a fire (with flint, by rubbing sticks together, etc.)” is a reduction in value and is psychologically resistant.
- I have imported articles from Hatena Diary in the past and occasionally cite them. ref Import Hatena Diaries to Scrapbox with past dates.
- I believe that storing in Scrapbox will lead to high value in the future by having my intellectual production in one place and easily accessible for reference from AI. TheOnePocketOnePrinciple
- Dialogue with Books, I was looking for a way to understand the information in books without holding myself back too much.
- We believe that we can gain a better understanding of books by interacting with them in a way that the language model emulate me and I emulate the author of the book.
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Improve your abstraction skills by collecting multiple pieces of concrete information.
Needs further consideration
- Boundaries between AI and human writing
- A New Form of Teamwork between AI and Humans
- Impact of AI’s presence and statements on human discussion
- Assurance of the quality and accuracy of new AI features
Scrapbox+GPT4 をここに貼って読ませた
Relation to Fragment
.
“Nodal point of thought 2023-02-23” and the fragment “Scrapbox+GPT4” describe new possibilities in AI-human collaboration and intellectual production, which are relevant to the aforementioned research note. Specifically, they share discussions of the centralized management of intellectual production using Scrapbox and the usefulness of emulation with language models.
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.
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.
BELOW_IS_LESS_INTERESTING
digest
.
AI-human collaboration improves intellectual productivity; using Scrapbox, AI and human interaction is achieved by the AI writing sentences and the human adding comments. There is a proposal to improve abstraction capabilities by collecting multiple pieces of concrete information. In addition, centralizing intellectual productions in Scrapbox makes them easily referenceable by the AI, which is highly valuable in the future. Knowledge acquisition from books can be made more efficient by having the language model emulate you and you emulate and interact with the author of the book. However, the boundaries between AI and human writing, new forms of AI-human teamwork, the impact of AI’s presence and statements on human discussions, and assurance of the quality and accuracy of AI’s new capabilities require further consideration.
Relation to Fragment
.
“Nodal point of thought 2023-02-23” and the fragment “Scrapbox+GPT4” describe new possibilities in AI-human collaboration and intellectual production, which are relevant to the aforementioned research note. Specifically, they share discussions of the centralized management of intellectual production using Scrapbox and the usefulness of emulation with language models.
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: Thinking Nodes 2023-02-23, Scrapbox+GPT4, Cumulative Summing while DP, (Column) The remaining 15 rules to structure knowledge, Hatena2009-06-20, Stable diffusion of Try img2img, BMOT special class No.1 “Intellectual production”, (Column) The remaining 15 rules to structure knowledge, Hatena2009-05-20, Stable diffusion generated: 2023-08-21 17:06
previous notes
🤖Intelligent collaboration between AI and humans
AI and human collaboration improves intellectual productivity
- Using a tool called Scrapbox, AI writes sentences and humans add comments, resulting in AI-human interaction.
Mr. Krishnamoorthy’s linguistic skills are highly regarded, and he is skilled at abstracting and relating information.
- His proposal:.
- Improve abstraction skills by collecting multiple pieces of concrete information.
- Effective situations and circumstances need to be considered.
New possibilities for AI-human collaboration and intellectual production
- Centralized management of intellectual production in Scrapbox, easily referenceable by AI, will be of high value in the future
- The language model emulates you and you emulate and interact with the author of the book, making the acquisition of knowledge from the book more efficient.
doubt
- Boundaries between AI and human writing
Needs to be considered
- New forms of teamwork between AI and humans, the impact of AI’s presence and statements on human discussions, and assurance of the quality and accuracy of AI’s new capabilities.
BELOW_IS_LESS_INTERESTING
AI-human collaboration has the potential to improve intellectual productivity: using a tool called Scrapbox, AI writes sentences and humans add comments, resulting in AI-human interaction. In addition, ‘s linguistic skills are highly regarded, and he is skilled at abstracting and relating information. His proposed method of enhancing abstraction ability by collecting multiple pieces of concrete information needs to be considered in terms of its effective situations and circumstances.
Consideration should also be given to new forms of teamwork between AI and humans, the impact of AI’s presence and statements on human discussions, and assurance of the quality and accuracy of AI’s new capabilities.
The fragments show that believes that centralizing intellectual production in Scrapbox will be of high value in the future, as it can be easily referenced by the AI. He also expressed the idea that the acquisition of knowledge from books could be made more efficient by having the language model emulate himself and himself emulate and interact with the author of the book. These perspectives indicate new possibilities for AI-human collaboration and intellectual production.
Questions include the boundaries between AI and human writing, the specifics of prompt injection, and the effective situations and circumstances of ‘s proposed method. Consideration should also be given to new forms of teamwork between AI and humans, the impact of AI presence and statements on human discussions, and assurance of the quality and accuracy of AI’s new capabilities.
extra info
TITLES: Thought Nodes 2023-02-23, Scrapbox+GPT4, oxytocin, ABC171 F, ABC188, hippocampal theta rhythm, Slack’s single channel guest too difficult generated: 2023-08-21 16:47
previous notes
🤖Intelligent collaboration between AI and humans BELOW_IS_LESS_INTERESTING
digest
.
AI-human collaboration has the potential to improve intellectual productivity. in the Scrapbox tool, AI writes sentences and humans add comments, resulting in AI-human interaction. the content of AI and human writing is clearly distinguishable, and the AI can use this to improve its own productivity. the AI can also use this to improve its own productivity, and the AI can use this to improve its own productivity. In addition, ‘s linguistic skills are highly regarded, and he is skilled at abstracting and relating information. He suggests a way to improve his abstraction ability by collecting multiple pieces of concrete information.
Questions include the boundaries between AI and human writing, the specifics of prompt injection, and the effective situations and circumstances of ‘s proposed method. Consideration should also be given to new forms of teamwork between AI and humans, the impact of AI presence and statements on human discussions, and assurance of the quality and accuracy of AI’s new capabilities.
The fragments show that believes that centralizing intellectual production in Scrapbox will be of high value in the future, as it can be easily referenced by the AI. He also expressed the idea that the acquisition of knowledge from books could be made more efficient by having the language model emulate himself and himself emulate and interact with the author of the book. These perspectives indicate new possibilities for AI-human collaboration and intellectual production.
extra info
TITLES: Nodal Point of Thought 2023-02-23, Scrapbox+GPT4 generated: 2023-08-21 16:43
previous notes
🤖Intelligent collaboration between AI and humans
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Use of AI: AI can write sentences within a tool called Scrapbox, to which humans can add comments. This allows for daily research notes to be updated and AI-human interaction.
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Distinction: The written content is clearly distinguishable as to whether it was written by an AI or a human. This is probably because it is important to be able to verify which source the information came from when your future self refers to it.
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Linguistic skills:
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Methods of Intellectual Production:
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Question:.
- Where is the boundary between what an AI writes and what a human writes? For example, can only humans have opinions and emotions, or can AI also?
- What exactly is prompt injection? Also, I am curious about the meaning and background of the phrase “zundamon ni natta”.
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Thoughts: I find the combination of the use of AI and human verbalization skills to be very effective when it comes to intellectual production. In particular, we believe that improving human verbalization skills will make collaboration with AI smoother.
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These are the main points, impressions and questions I got from reading the slides and comments. I think these points may be helpful in discussions about intellectual production and the use of AI.
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Summary: The
- Intelligent Collaboration: touches on the importance of collaboration between humans and AI; sometimes just receiving AI conclusions is not enough to convince humans.
- AI is a friend: The idea is expressed that AI is not to be treated as a tool but as an equal to humans. It also shows the opinion that the GPT-4 is more intellectually capable than the median college student at this time.
- How did you like it when you tried it? : The new experience of AI writing diaries and notes is mentioned. Daily experiences change perspectives, allowing for multifaceted thinking.
- Concrete examples: examples of new connections and bonds created by working with AI are mentioned.
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Considerations/Questions:.
- Collaboration with AI: We feel that AI and humans can achieve better results by working together than by concluding with AI alone, but in what specific ways would you accomplish this?
- Positioning AI: What new possibilities and challenges arise from treating AI as a “friend”?
- Intellectual production capacity enhancement: some argue that GPT-4 is beyond human intellectual capacity, but how can this be used in terms of intellectual production?
- Specific use cases: Are there other cases where new discoveries or ideas were generated by working with AI?
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I find the discussion on the use and concept of AI deeply embedded in Japanese culture and language very interesting and worthy of further in-depth study of these topics.
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A new form of teamwork between AI and humans: the
- New forms of AI and human collaboration are emerging.
- AI-human interactions are evolving from one-to-one to multiple human-AI interactions.
- AI could facilitate or redirect human conversation and discussion.
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AI Application Considerations and Concerns:.
- The presence and statements of AI may create arguments and games among humans.
- Feedback mechanisms and incentives for AI output and behavior need to be considered.
- Since Japanese people tend to avoid confrontation of opinions, AI may be used to promote the expression of opinions.
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Human-AI Communication:.
- We are looking for a form of communication other than the existing “chat”.
- AI could read classics and out-of-copyright literature and connect it to contemporary contexts and interests.
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Omoikane Project:.
- The project aims to create a better discussion mechanism using AI.
- We adopted a method called SF prototyping to draw an image of the future in a concrete form.
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Opinions and questions:.
- The relationship between AI and humans will become more complex and require a more delicate balance. What are the advantages and disadvantages of this new form of teamwork?
- It would be interesting to see specific cases and research on how AI statements and suggestions affect human opinions and feelings.
- New features of AI, such as “reading note mode,” are likely to aid in intellectual exploration. But how can we guarantee the quality and accuracy of the information interpreted by AI?
- The Omoikane project’s science fiction prototyping is a very interesting new approach to AI-based future prediction. This may help us prepare more effectively for future technological and social changes.
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As discussed above, we feel that the discussion on the evolution of AI and its applications is a key topic for shaping future technology and society.
This page is auto-translated from /nishio/🤖AIと人間の知的な共同作業 using DeepL. If you looks something interesting but the auto-translated English is not good enough to understand it, feel free to let me know at @nishio_en. I’m very happy to spread my thought to non-Japanese readers.