🌀Collaboration with AI

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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.

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generated: 2023-09-03 07:13

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🤖🔁Collaboration with AI

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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.

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generated: 2023-09-02 07:20

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🤖🔁Collaboration with AI

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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.

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generated: 2023-08-31 07:15

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🤖🔁Collaboration with AI

___BELOW_IS_LESS_INTERESTING___

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.

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generated: 2023-08-29 10:28

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🤖🔁Collaboration with AI

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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

generated: 2023-08-28 07:18

previous notes

🤖🔁Collaboration with AI

___BELOW_IS_LESS_INTERESTING___

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.

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generated: 2023-08-27 07:16

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🤖🔁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.

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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

Groups perform better.

https://gyazo.com/aa02e29aaeabe8088bd6ff4244602ff1

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.

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.

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generated: 2023-08-26 07:14

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🤖🔁Collaboration with AI

nishio.icon

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.

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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.

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generated: 2023-08-25 07:14

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🤖🔁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

Empirical knowledge gained from the senses is confused and unclear knowledge

Difficulty in sharing tacit knowledge

Effective collaboration between AI and human collaborators

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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?

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generated: 2023-08-24 12:45

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🤖🔁Collaboration with AI

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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.

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generated: 2023-08-24 07:25

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🤖🔁Collaboration with AI

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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.

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generated: 2023-08-23 20:40

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🤖🔁Collaboration with AI

What is cooporation with AI?

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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.

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.

"Improving Knowledge Productivity Through AI-Human Collaboration."

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generated: 2023-09-24 07:09

__BELOW_IS_AI_GENERATED__

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.

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.

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."

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generated: 2023-10-27 07:11

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