🌀Collaboration with AI
BELOW_IS_LESS_INTERESTING
🤖🔁AIとの共同化
2023-09-03 07:13
Knowledge gained from "pure experience" is formed through collaboration and working with AIs; Nishio's "Hare Moya Hare is the Next Step" and "Knowledge Transfer through Collaboration" have relevance to my research. However, fragments such as "What Were Books Selling?" and "BMOT Special Class No. 1: Intellectual Production" show the limits of knowledge transfer through words.
Discovering and communicating new knowledge is a means of value creation, and knowledge can be reshaped and communicated to others, creating customer value. Updating knowledge is more burdensome than learning new knowledge. This is because it requires negating existing knowledge. Investing in knowledge-producing technologies expands and reproduces knowledge capital.
While the cost of "writing knowledge" is going down, there comes a time when "having knowledge" and "being able to write and publish knowledge" are not enough. The ability to communicate in detail what you want to do and what you think is good for you is important.
Nishio's "The Engineer's Intellectual Production Technique" and "What is Intellectual Production/Benefits of Reading This Book" offer perspectives on increasing knowledge productivity. In addition, "Using Easy Methods to Focus on Intellectual Production" and "Connecting My Scrapbox to ChatGPT" provide insights into the efficiency of knowledge production. These perspectives are important for increasing knowledge productivity.
extra info
TITLES: ["🤖The Engineer's Art of Intellectual Production"], "The Engineer's Art of Intellectual Production What is Intellectual Production/Benefits of Reading This Book"], "Good or bad intellectual production techniques depend on the value of the intellectual product produced"], "Using easy methods to focus on intellectual production", "My Scrapbox connected to ChatGPT.", "Hatena2011-12-21"]
generated: 2023-09-03 07:13
previous notes
🤖🔁Collaboration with AI BELOW_IS_LESS_INTERESTING
🤖🔁AIとの共同化
2023-09-02 07:20
digest
.
Knowledge gained from "pure experience" is formed through collaboration and working with AIs; Nishio's "Hare Moya Hare is the Next Step" and "Knowledge Transfer through Collaboration" have relevance to my research. However, fragments such as "What Were Books Selling?" and "BMOT Special Class No. 1: Intellectual Production" show the limits of knowledge transfer through words.
Nishio's "creating a state of high intellectual productivity," "that ideas are a resource that can be replicated, and that producing the same idea as one that already exists is of little value," and "that ideas only become valuable after they are created and after a lot of effort is put into nurturing and refining them. perspective is important for increasing the productivity of knowledge.
Discovering and communicating new knowledge is a means of value creation, and knowledge can be reshaped and communicated to others, creating customer value. Updating knowledge is more burdensome than learning new knowledge. This is because it requires negating existing knowledge. Investing in knowledge-producing technologies expands and reproduces knowledge capital.
While the cost of "writing knowledge" is going down, there comes a time when "having knowledge" and "being able to write and publish knowledge" are not enough. The ability to communicate in detail what you want to do and what you think is good for you is important.
extra info
TITLES: ["🤖🔁Yasukazu Nishio"],"🤖🔁successful intelligence","🤖2023-08-25 07:09"," 🤖🔁twists and turns."]
generated: 2023-09-02 07:20
previous notes
🤖🔁Collaboration with AI BELOW_IS_LESS_INTERESTING
🤖🔁AIとの共同化
2023-08-31 07:15
digest
.
Knowledge gained from "pure experience" is formed through collaboration or working with an AI. Although the process of "collaboration" involves confusion and difficulty in sharing tacit knowledge, observing the flow of actions and ideas can elicit unverbalized knowledge and build a generative collective intelligence system.
Nishio's "venting moyamoya is the next step" and "knowledge transfer through cooporation" have relevance to my research. It is important to gain empathy by putting tacit knowledge into words, which is part of cooporation. Sharing the work process also makes it possible to transfer unspoken knowledge.
However, fragments such as "What Were Books Selling?" and "BMOT Special Class No. 1: Intellectual Production" show the limits of knowledge transfer through words. It is difficult to fully convey experience through words alone; the reader must connect with the experience himself.
These considerations suggest that processes such as collaboration and action observation, as well as words, are important in the transfer and sharing of knowledge. In addition, the value of knowledge does not lie in the ease of its acquisition, but rather in how that knowledge is used to generate new knowledge and ideas. From these perspectives, we feel it is necessary to reconsider how knowledge is produced and shared.
Nishio's "creating a state of high intellectual productivity," "that ideas are a resource that can be replicated, and that producing the same idea as one that already exists is of little value," and "that ideas only become valuable after they are created and after a lot of effort is put into nurturing and refining them. perspective is important for increasing the productivity of knowledge.
In addition, having a "skillful and slow is better than poor" perspective requires a certain level of anxiety tolerance. This indicates that a certain level of anxiety tolerance is necessary to improve knowledge productivity.
The notion that collaboration with AI provides a variety of perspectives to improve knowledge productivity requires a detailed explanation of how AI and humans collaborate and how this improves knowledge productivity.
Discovering and communicating new knowledge is a means of value creation, and knowledge is transformed and communicated to others, creating customer value. The value of knowledge is also measured by the actual benefits of its use.
Updating knowledge is more burdensome than learning new knowledge. This is because it requires negating existing knowledge. Investing in knowledge-producing technologies expands and reproduces knowledge capital.
While the cost of "writing knowledge" is going down, there comes a time when "having knowledge" and "being able to write and publish knowledge" are not enough. The ability to communicate in detail what you want to do and what you think is good for you is important.
extra info
TITLES: ["🤖🔁The Value of Natural Resources", "🤖🔁Discomfort-Driven Intellectual Production", "🤖🔁 Intellectual Production", " 🤖🔁2023-08-26 07:10"]
generated: 2023-08-31 07:15
previous notes
🤖🔁Collaboration with AI BELOW_IS_LESS_INTERESTING
🤖🔁AIとの共同化
2023-08-29 10:28
digest
.
Knowledge gained from "pure experience" is formed through collaboration or working with an AI. Although the process of "collaboration" involves confusion and difficulty in sharing tacit knowledge, observing the flow of actions and ideas can elicit unverbalized knowledge and build a generative collective intelligence system.
Nishio's "venting moyamoya is the next step" and "knowledge transfer through cooporation" have relevance to my research. It is important to gain empathy by putting tacit knowledge into words, which is part of cooporation. Sharing the work process also makes it possible to transfer unspoken knowledge.
However, fragments such as "What Were Books Selling?" and "BMOT Special Class No. 1: Intellectual Production" show the limits of knowledge transfer through words. It is difficult to fully convey experience through words alone; the reader must connect with the experience himself.
These considerations suggest that processes such as collaboration and action observation, as well as words, are important in the transfer and sharing of knowledge. In addition, the value of knowledge does not lie in the ease of its acquisition, but rather in how that knowledge is used to generate new knowledge and ideas. From these perspectives, we feel it is necessary to reconsider how knowledge is produced and shared.
Nishio's "creating a state of high intellectual productivity," "that ideas are a resource that can be replicated, and that producing the same idea as one that already exists is of little value," and "that ideas only become valuable after they are created and after a lot of effort is put into nurturing and refining them. perspective is important for increasing the productivity of knowledge.
In addition, having a "skillful and slow is better than poor" perspective requires a certain level of anxiety tolerance. This indicates that a certain level of anxiety tolerance is necessary to improve knowledge productivity.
The notion that collaboration with AI provides a variety of perspectives to improve knowledge productivity requires a detailed explanation of how AI and humans collaborate and how this improves knowledge productivity.
Discovering and communicating new knowledge is a means of value creation, and knowledge is transformed and communicated to others, creating customer value. The value of knowledge is also measured by the actual benefits of its use.
Updating knowledge is more burdensome than learning new knowledge. This is because it requires negating existing knowledge. Investing in knowledge-producing technologies expands and reproduces knowledge capital.
While the cost of "writing knowledge" is going down, there comes a time when "having knowledge" and "being able to write and publish knowledge" are not enough. The ability to communicate in detail what you want to do and what you think is good for you is important.
extra info
titles: ["🤖🔁Collaboration with AI","🤖2023-08-24 12:36","🤖2023-08-12 07:08","🤖🔁Neri", "New Discovering and communicating new knowledge is a means of value creation."]
generated: 2023-08-29 10:28
previous notes
🤖🔁Collaboration with AI BELOW_IS_LESS_INTERESTING
🤖🔁AIとの共同化
2023-08-28 07:18
Knowledge gained from "pure experience" is formed through collaboration and working with the AI, a process of "co-creation." This is accompanied by confusion and difficulties in sharing tacit knowledge, but by observing the flow of actions and ideas, it is possible to extract unarticulated knowledge and build a generative collective intelligence system. This system enhances collective performance.
Nishio's research notes on "venting moyamoya is the next step" and "knowledge transfer through cooporation" have relevance to my research. It is important to gain empathy by putting tacit knowledge into words, and this is part of co-collaboration. Sharing the work process also makes it possible to transfer unspoken knowledge.
However, fragments such as "What Were Books Selling?" and "BMOT Special Class No. 1: Intellectual Production" show the limits of knowledge transfer through words. It is difficult to fully convey experience through words alone; the reader must connect with the experience himself. This indicates that "combining with one's own experience" is not easy.
These considerations suggest that processes such as collaboration and action observation, as well as words, are important in the transfer and sharing of knowledge. In addition, the value of knowledge does not lie in the ease of its acquisition, but rather in how that knowledge is used to generate new knowledge and ideas. From these perspectives, we feel it is necessary to reconsider how knowledge is produced and shared.
extra info
TITLES: ["Intellectual Production"], "What is Learning. Engineering Thinking and Principles", "Discomfort-Driven Intellectual Production", "The Intellectual Production of Engineers: A Reaction Summary", "Nodes of Thought 2022-02-10", "People who see questions as exams"]
generated: 2023-08-28 07:18
previous notes
🤖🔁Collaboration with AI BELOW_IS_LESS_INTERESTING
🤖🔁AIとの共同化
2023-08-27 07:16
digest
.
Knowledge gained from "pure experience" is formed through collaboration or working with an AI. This is a process of "collaboration" and can involve confusion and difficulties in sharing tacit knowledge. However, by observing the flow of actions and ideas, it is possible to extract unarticulated knowledge and build a generative collective intelligence system. This system enhances group performance.
Nishio's research notes on "venting moyamoya is the next step" and "knowledge transfer through cooporation" have relevance to my research. It is important to gain empathy by putting tacit knowledge into words, and this is part of co-collaboration. Sharing the work process also makes it possible to transfer unspoken knowledge.
However, fragments such as "What Were Books Selling?" and "BMOT Special Class No. 1: Intellectual Production" show the limits of knowledge transfer through words. It is difficult to fully convey experience through words alone; the reader must connect with the experience himself. This indicates that "combining with one's own experience" is not easy.
These considerations suggest that processes such as collaboration and action observation, as well as words, are important in the transfer and sharing of knowledge. In addition, the value of knowledge does not lie in the ease of its acquisition, but rather in how that knowledge is used to generate new knowledge and ideas. From these perspectives, we feel it is necessary to reconsider how knowledge is produced and shared.
extra info
TITLES: [""Moyamoya"]"Peeling Out the "Moyamoya" is the Next Step", "Knowledge Transfer through Collaboration", "What Were Books Selling?", "BMOT Special Class #1 "Intellectual Production"", "Nodes of Thought 2023-04-04", "Exploratory Net Study Group. Kozaneba5"]
generated: 2023-08-27 07:16
previous notes
🤖🔁Collaboration with AI
There is 'pure experience' before words. Empirical knowledge derived from the senses Promotes a cooperative attitude Engagement = a state of repeated collaboration. group work collaboration Effective collaboration between AI and human collaborators is required. confusion tacit knowledge (knowledge management terminology) Difficult to share action Idea flow is easier to generate by watching the action. Elicit unverbalized knowledge generative collective intelligence system Collecting Responses Condensed to the most representative generative output Groups perform better.
BELOW_IS_LESS_INTERESTING Empirical knowledge derived from the senses
- There is 'pure experience' before words.
- Confusing and difficult to share tacit knowledge
- Effective collaboration between AI and human collaborators is required.
- generative collective intelligence system
- Collecting Responses
- Condensed to the most representative generative output
- Elicit unverbalized knowledge
- collaboration
- Idea flow is easier to generate by watching the action.
- Engagement = a state of repeated collaboration.
- Promotes a cooperative attitude
- collaboration
- Groups perform better.
🤖🔁AIとの共同化
2023-08-26 07:14
digest
.
Empirical knowledge derived from the senses is confusing and tacit knowledge is difficult to share; effective collaboration between AI and human collaborators is required. A generative collective intelligence system collects responses given a group and prompts, evaluates them, and condenses them into meaningful generative outputs that best represent the group. It is important to elicit unverbalized knowledge.
Relation to Fragment
.
In "Conversation Log 2020-06-08-2," it is stated that the flow of ideas is more likely to be generated by looking at actions. This is associated with eliciting unverbalized knowledge. It also states that "engagement = a state of repeated collaboration" promotes a cooperative attitude, which is associated with effective collaboration between AI and human collaborators.
In "Collective Intelligence," it is stated that groups perform better. This is related to the nature of generative collective intelligence systems.
In Study Session 2 of "Experiential Processes and the Creation of Meaning," "There is a 'pure experience' before words!" is stated. This relates to experiential knowledge gained from the senses.
Deep thoughts and questions
What elements are needed to achieve effective collaboration between AI and humans? And what are the specific methods for eliciting unlinguistic knowledge? These questions need to be considered in depth.
extra info
TITLES: ["Conversation Log 2020-06-08-2", "Social Physics", ""Experiential Processes and the Creation of Meaning" Study Group 2", "Keichobot and ChatGPT in Conversation", "AI Observation Diary "Discomfort-Driven Intellectual Production"", "Capitalism in the Nada School Saturday Lecture"]
generated: 2023-08-26 07:14
previous notes
🤖🔁Collaboration with AI
Empirical knowledge derived from the senses is confusing and obscure, and tacit knowledge is difficult to share; effective collaboration between AI and human collaborators is required.
- The essence of a generative group intelligence system is to collect responses given a group and a prompt, evaluate them, and condense them into a meaningful generative output that best represents the group. This relates to effective collaboration between AI and human collaborators.
- It has been stated that it is important to hand-carry knowledge that has not yet been verbalized. This relates to the difficulty of sharing experiential knowledge derived from the senses and tacit knowledge.
BELOW_IS_LESS_INTERESTING
🤖🔁AIとの共同化
2023-08-25 07:14
digest
.
Collaboration and the SECI model will be beneficial to AI and human knowledge productivity, and new forms of teamwork will be required. Improvements in Japanese AI technology will impact Japanese culture and identity; AI governance will require international interoperability; AI assistant personalization will need to achieve balance with user data control; and AI governance will require a new form of teamwork.
The Omoikane project aims to test a new methodology for deliberation based on science fiction prototyping and to create an AI that reflects Japanese culture and thinking. However, empirical knowledge derived from the senses is confusing and obscure, and tacit knowledge is difficult to share; effective collaboration between AI and human collaborators is required.
According to Nishio's research note, "Omoikane Project Commentary at the end of June," the goal of the Omoikane project is to summarize the results of the deliberations on the question of AI assistants, test a new methodology for deliberation based on SF prototyping, and create an AI that reflects Japanese culture and thinking The goal of the project is to create an AI that reflects Japanese culture and thinking. This is relevant to my research and should be considered in depth.
Also, in "Deliberation Technology: Generative CI through 'Collective Response Systems,'" the essence of a generative collective intelligence system is to collect responses given a group and prompts, evaluate them, and condense them into meaningful generative outputs that best represent the group. This relates to effective collaboration between AI and human collaborators.
In "From One Subjectivity to Many, Not Subjective or Objective," the importance of tapping into knowledge that has not yet been verbalized is stated. This is related to the difficulty of sharing experiential knowledge derived from the senses and tacit knowledge.
Based on the above, we believe that new forms of teamwork, collaboration, and the SECI model will be beneficial for improving AI and human knowledge productivity. In addition, Japanese culture and identity and international interoperability are important for improving Japanese AI technology and AI governance. Furthermore, personalization of AI assistants needs to achieve balance with user data control. From these perspectives, we should deeply consider the goals and methodology of the Omoikane project, the nature of generative collective intelligence systems, and the importance of knowledge that has not yet been translated into language.
extra info
TITLES: ["Omoikane Project Commentary at the End of June"], "Deliberation Technology: Generative CI through 'Collective Response Systems'", "From One Subjectivity to Many, Not Subjective or Objective"," Social Dynamics of AI Support in Creative Writing", "Diary 2023-06-09", "Thoughts on the Japanese Language Model"]
generated: 2023-08-25 07:14
previous notes
🤖🔁Collaboration with AI Collaboration and SECI models are beneficial for improving AI and human knowledge productivity
- A New Form of Teamwork
Improvement of Japanese AI technology
- Japanese culture and identity
- What impact
AI Governance
- global interoperability
Personalization of AI assistants
- Achieve balance with user data control
Omoikane Project
- Validate a new methodology for deliberation based on SF prototyping
- Create an AI that reflects Japanese culture and thinking
- How do we verify new deliberation methodologies?
Empirical knowledge gained from the senses is confused and unclear knowledge
- Difficulty in sharing tacit knowledge
Effective collaboration between AI and human collaborators
BELOW_IS_LESS_INTERESTING
🤖🔁AIとの共同化
2023-08-24 12:45
Digest of Research Notes
.
Collaboration and SECI models are beneficial for AI and human knowledge productivity improvement, and new forms of teamwork are emerging. Improvements in Japanese AI technology could impact Japanese culture and identity; "international interoperability" is important in AI governance, and AI assistant personalization can achieve balance with user data control. The Omoikane project aims to test a new methodology for deliberation based on SF prototyping to create an AI that reflects Japanese culture and thinking.
fragments
"Scrapbox+GPT4" and "Development of Japanese Cultural AI: Plurality for Global Deliberation" are consistent with my research." GPT4 and Talking Thinking Nodes 2023-08-10" and "Omoikane Study Group" are relevant to my research." Empirical knowledge from the senses is confused and unclear knowledge" is related to the difficulty of sharing tacit knowledge in my study.
Questions: How should effective collaboration between AI and human collaborators be promoted? How might improvements in Japanese AI technology impact Japanese culture and identity? how can a balance be achieved between personalization of AI assistants and user control of data? How does the Omoikane project's sci-fi prototyping validate new deliberative methodologies?
extra info
TITLES: ["Thought Node 2023-05-22", "Democratic Inputs to AI", "Thought Node 2023-02-23", "People who assume that correct knowledge is given by authority", "Explore Net (fireworks) Study Group"]
generated: 2023-08-24 12:45
previous notes
🤖🔁Collaboration with AI BELOW_IS_LESS_INTERESTING
🤖🔁AIとの共同化
2023-08-24 07:25
Digest of Research Notes
.
AI-human knowledge productivity improvement requires shared experiences of collaboration, and cycles like the SECI model are beneficial; AI-human intellectual collaboration involves two processes, and new forms of teamwork are emerging.
Improvements in Japanese language AI technology will enable efficient communication and services while maintaining Japanese as the official language. However, AI's proficiency in English may have an impact on Japanese culture and identity.
In AI governance, "international interoperability" is an important keyword, and OpenAI hopes to create a forum for international discussion.
Regarding personalization of AI assistants, a balance could be achieved by allowing users to control their own data.
The Omoikane project aims to test a new methodology for deliberation based on science fiction prototyping and to create an AI that reflects Japanese culture and thinking.
fragments
"Scrapbox+GPT4" emphasizes effective collaboration between AI and humans for intellectual production. This is consistent with my research.
"GPT4 and the Nodal Point of Talking Thought 2023-08-10" proposes to visualize the rules of human-AI interaction and the convergence process. This is related to the AI-human collaboration part of my research.
Development of "Japanese Cultural AI: Plurality for Global Conversation" proposes the development of AI using a dataset of thoughts and feelings of Japanese speakers. This is related to my research on improving Japanese AI technology.
"Omoikane Study Group" introduces a project that combines science fiction prototyping and AI technology to create a better discussion mechanism. This coincides with my research on the Omoikane project.
"Empirical knowledge obtained from the senses is confused and obscure knowledge" points out the obscurity of empirical knowledge obtained from the senses. This is related to the difficulty of sharing tacit knowledge in my study.
extra info
titles: ["Scrapbox+GPT4", "GPT4 and the Nodal Point of Talking Thought 2023-08-10","\"Japanese Culture AI 》》: Plurality for Global Deliberation", "Talk about applying for OpenAI's "Democratic inputs to AI""," Omoikane Study Group", "Empirical knowledge from the senses is confused and obscure knowledge."]
generated: 2023-08-24 07:25
previous notes
🤖🔁Collaboration with AI BELOW_IS_LESS_INTERESTING
🤖🔁AIとの共同化
2023-08-23 20:40
Digest of Research Notes
.
Increasing knowledge productivity requires diverse perspectives, and AI can provide a broad perspective. However, the current use of AI makes it difficult to share tacit knowledge between humans and AI that has not been verbalized. To solve this, "collaboration" is necessary, where humans and AI share experiences, and cycles that include collaboration, such as the SECI model, are beneficial for this purpose.
There are two types of intelligent collaboration between AI and humans: a process in which humans and AI cooperate and integrate, and a process in which AI assists humans to integrate. New forms of teamwork are also emerging in which AI and humans are team members.
Improvements in Japanese AI technology will allow AI to provide efficient communication and services while maintaining Japanese as the official language. However, it is necessary to consider how AI's proficiency in English will affect Japanese culture and identity.
International interoperability" is an important keyword in AI governance, and OpenAI wants to create a forum for international discussion because we want international interoperability to increase.
Regarding personalization of AI assistants, a balance could be achieved by allowing users to control their own data.
The Omoikane project aims to test a new methodology for deliberation based on science fiction prototyping and to create an AI that reflects Japanese culture and thinking.
It's interesting in general, so keep going.
extra info
TITLES: ["Collaboration with AI"], "Re: Collaboration with AI", "Intelligent Collaboration between AI and Humans", "Project Team on AI Evolution and Implementation", "English Official Language Theory", "Global Interoperability of AI Governance", "How far is personalization of AI assistants Should we do it?" , "Omoikane Project"]
generated: 2023-08-23 20:40
previous notes
🤖🔁Collaboration with AI What is cooporation with AI?
BELOW_IS_AI_GENERATED
🌀AIとの共同化
2023-09-24 07:09
digest
. Knowledge gained from "pure experience" is formed through collaboration and working with AIs. Discovering and communicating new knowledge is the means of value creation, and updating knowledge is more burdensome than learning new knowledge. Investing in knowledge-producing technologies expands and reproduces knowledge capital. The ability to communicate in detail what you want to do and what you think is good for you is important.
Relation to Fragment
. Fragments "Successful Intelligence" and "Intellectual Production" provide perspectives on increasing the productivity of knowledge, which is consistent with my research note. Fragments "The Value of Natural Resources" and "The Human-AI Boundary" also state that AI-human collaboration improves intellectual production, promotes the democratization of knowledge, and enables automation and efficiency, which is also relevant to my research note.
summary of thoughts
It is important to think deeply about improving knowledge productivity through collaboration between AI and humans. In addition, providing perspectives to enhance knowledge productivity, discovering and communicating new knowledge is a means of value creation.
Title
. "Improving Knowledge Productivity Through AI-Human Collaboration."
extra info
TITLES: ["🌀Successful Intelligence", "Digest for Sticky Notes", "🌀Intellectual Production", "🌀Value of Natural Resources", "🌀Boundary between Human and AI"]
generated: 2023-09-24 07:09
BELOW_IS_AI_GENERATED
🌀AIとの共同化
2023-10-27 07:11
digest
. Knowledge gained from "pure experience" is formed through collaboration and working with AIs; Nishio's "Hare Moya Hare is the Next Step" and "Knowledge Transfer through Collaboration" have relevance to my research. However, fragments such as "What Were Books Selling?" and "BMOT Special Class No. 1: Intellectual Production" show the limits of knowledge transfer through words.
Discovering and communicating new knowledge is a means of value creation, and knowledge can be reshaped and communicated to others, creating customer value. Updating knowledge is more burdensome than learning new knowledge. This is because it requires negating existing knowledge. Investing in knowledge-producing technologies expands and reproduces knowledge capital.
While the cost of "writing knowledge" is going down, there comes a time when "having knowledge" and "being able to write and publish knowledge" are not enough. The ability to communicate in detail what you want to do and what you think is good for you is important.
Nishio's "The Engineer's Intellectual Production Technique" and "What is Intellectual Production/Benefits of Reading This Book" offer perspectives on increasing knowledge productivity. In addition, "Using Easy Methods to Focus on Intellectual Production" and "Connecting My Scrapbox to ChatGPT" provide insights into the efficiency of knowledge production. These perspectives are important for increasing knowledge productivity.
Relation to Fragment
. The "🌀Yasukazu Nishio" fragment is consistent with Nishio's research and notes. In particular, "🌀Collaboration with AI," "BMOT Special Class No. 1: Intellectual Production," and "Omoikane Study Group" provide perspectives on improving the productivity of knowledge. In addition, the fragment "🌀Discomfort-Driven Intellectual Production" represents a new approach to improving the productivity of knowledge. These fragments provide a perspective for increasing knowledge productivity.
Opinion
. New perspectives and approaches are needed to increase knowledge productivity. In particular, we believe that new approaches such as collaboration with AI and discomfort-driven intellectual production are effective.
summary of thoughts
New Perspectives and Approaches to Knowledge Productivity."
extra info
titles: ["🌀Yasukazu Nishio","🌀Discomfort-Driven Intellectual Production","🌀Intellectual Production","🌀Intellectual Production of Engineers: The Purpose of This Book","🌀Externalization of Thinking"]
generated: 2023-10-27 07:11
This page is auto-translated from /nishio/🌀AIとの共同化 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.