BELOW_IS_LESS_INTERESTING
🤖🔁思考の外在化
2023-09-03 07:15
note digest
. Externalization of thoughts increases intellectual productivity, but verbalization is the bottleneck; AI will extract information, and the development of LLM will move the bottleneck of intellectual production to output efficiency in the native language. It is also necessary to turn concepts that have not yet been verbalized into operable objects.
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?
fragment digest
. Nishio’s studies “🤖🔁Collaboration with AI” and “🤖🔁Externalization of Thought” argue that AI-human collaboration improves intellectual productivity, promotes democratization of knowledge, and enables automation and efficiency . However, details are needed on how to proceed, how improvements in Japanese AI technology might affect Japanese culture and identity, and how the SF prototyping of the Omoikane project will test new methodologies for deliberation.
In “🤖🔁Once Chaos is Brought to Us,” collaboration and the SECI model are beneficial for improving AI and human knowledge productivity, and new forms of teamwork are emerging. Improvements in Japanese AI technology may have an impact on Japanese culture and identity.
In “🤖Intelligent Collaboration Between AI and Humans,” he discusses considerations and concerns about the use of AI, human-AI communication, and the Omoikane project.
In “🤖🔁The Difference Between ‘Made’ and ‘Used’”, “Worldview after LLM”, “Language Modeling Experiment 2018-09-28”, “20191011 Tachikawa Nishio”, “Developing a “Japanese Cultural AI”: plurality for global deliberation” The paper describes the following.
Fragment
. 🤖🔁 Successful intelligence
Nishio’s “Collaboration with AI” presents the idea that diverse perspectives are offered to improve knowledge productivity. In “Knowledge, Capitalism, and the Technologist Condition,” it is stated that discovering and communicating new knowledge is a means of value creation, and that knowledge can be transformed and communicated to others, creating customer value.
Opinion
. These notes and fragments suggest that AI-human collaboration has the potential to improve intellectual productivity. In particular, they include “🤖🔁Collaboration with AI,” “🤖🔁Externalization of Thinking,” “🤖🔁Once Chaos is Brought to AI and human intellectual collaboration,” and “🤖🔁The difference between ‘made’ and ‘used’” fragments are about the specific ways AI and humans collaborate and how improvements in Japanese AI technology may affect Japanese culture and identity. and how the SF prototyping of the Omoikane project will test new methodologies of deliberation. We believe that these perspectives provide important guidelines for deeply exploring the possibilities of AI-human collaboration.
extra info
TITLES: ["🤖🔁Successful Intelligence","🤖🔁Collaboration with AI","🤖🔁The Power of Language: telling experiences, the world we aim to Drawing","🤖🔁Picture","🤖2023-08-13 07:08"]
generated: 2023-09-03 07:15
previous notes
Externalization of 🤖🔁thought BELOW_IS_LESS_INTERESTING
🤖🔁思考の外在化
2023-09-02 07:17
note digest
. Externalization of thoughts increases intellectual productivity, but verbalization is the bottleneck; AI will extract information, and the development of LLM will move the bottleneck of intellectual production to output efficiency in the native language. It is also necessary to turn concepts that have not yet been verbalized into operable objects.
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?
fragment digest
. Nishio’s studies “🤖🔁Collaboration with AI” and “🤖🔁Externalization of Thought” argue that AI-human collaboration improves intellectual productivity, promotes democratization of knowledge, and enables automation and efficiency . However, details are needed on how to proceed, how improvements in Japanese AI technology might affect Japanese culture and identity, and how the SF prototyping of the Omoikane project will test new methodologies for deliberation.
In “🤖🔁Once Chaos is Brought to Us,” collaboration and the SECI model are beneficial for improving AI and human knowledge productivity, and new forms of teamwork are emerging. Improvements in Japanese AI technology may have an impact on Japanese culture and identity.
In “🤖Intelligent Collaboration Between AI and Humans,” he discusses considerations and concerns about the use of AI, human-AI communication, and the Omoikane project.
In “🤖🔁The Difference Between ‘Made’ and ‘Used’”, “Worldview after LLM”, “Language Modeling Experiment 2018-09-28”, “20191011 Tachikawa Nishio”, “Developing a “Japanese Cultural AI”: plurality for global deliberation” The paper describes the following.
extra info
TITLES: ["🤖🔁Yasukazu Nishio"], "🤖🔁Once Chaos is Brought", "🤖🔁AI and Human Intellectual Collaboration", "AI and Intellectual Production", " 🤖🔁The difference between "made" and "used"", "🤖🔁Intellectual collaboration between AI and humans"]
generated: 2023-09-02 07:17
previous notes
Externalization of 🤖🔁thought Externalization of thoughts increases intellectual productivity, but verbalization is the bottleneck; AI will extract information, and the development of LLM will move the bottleneck of intellectual production to output efficiency in the native language. It is also necessary to turn concepts that have not yet been verbalized into operable objects.
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?
BELOW_IS_LESS_INTERESTING
🤖🔁思考の外在化
2023-08-31 07:14
digest
.
Externalization of thoughts increases intellectual productivity, but verbalization is the bottleneck; AI will extract information, and the development of LLM will move the bottleneck of intellectual production to output efficiency in the native language. It is also necessary to turn concepts that have not yet been verbalized into operable objects.
Nishio’s “🤖🔁The Value of Natural Resources,” “🤖🔁The Boundary between Humans and AI,” and “🤖🔁Collaboration with AI” emphasize the importance of knowledge sharing between AI and humans and collaboration between AI and humans, and are closely related to my research.
Fragments “🤖🔁Teaming with AI”, “🤖🔁Twist”, and “🤖🔁Intellectual Production” are related to AI-human collaboration and knowledge productivity improvement related to the two. My research could be deepened by incorporating these perspectives.
Considerations and 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: ["🤖🔁Teaming with AI","🤖🔁Neri","🤖🔁Intellectual Production","🤖🔁Neri neri","🤖🔁Human and AI share a common goal."]
generated: 2023-08-31 07:14
previous notes
Externalization of 🤖🔁thought BELOW_IS_LESS_INTERESTING
🤖🔁思考の外在化
2023-08-29 10:30
digest
.
Externalization of thoughts increases intellectual productivity, and verbalization is its bottleneck; AI draws information from humans, and the development of LLM moves the bottleneck of intellectual production to output efficiency in the native language. It is also necessary to turn concepts that have not yet been put into words into operable objects, and to have a provisional language for this purpose.
Nishio’s “The Value of 🤖🔁 Natural Resources” points out the difficulty of AI providing a broad perspective and sharing tacit knowledge between humans and AI that humans have yet to verbalize. This is relevant to my research and underscores the importance of knowledge sharing between AI and humans.
In 🤖🔁The Boundary Between Humans and AI, the emergence of AI requires a change in human mental models. This is consistent with my research and complements the perspective that the presence of AI changes learning and intellectual production.
In “🤖🔁Collaboration with AI,” the need for “collaboration” where AI and humans share experiences. This is consistent with my research and underscores the importance of humans and AI working together to share knowledge.
These fragments highlight the importance of knowledge sharing and collaboration between AI and humans, which is deeply relevant to my research. My research could be deepened by incorporating these perspectives.
extra info
TITLES: ["🤖🔁Externalization of Thought", "🤖🔁The Value of Natural Resources", "🤖🔁Theory of English Official Language", "🤖🔁Boundary between Human and AI", " 🤖🔁Collaboration with AI"]
generated: 2023-08-29 10:30
previous notes
Externalization of 🤖🔁thought The Importance of Linguistics and the Role of AI in this Process
- Externalization of thoughts is an important factor in intellectual productivity.
- Linguization in particular is a bottleneck
- It is important to take out as words what is still unspoken in the human mind
- The development of LLM moves the bottleneck of intellectual production to output efficiency in the native language.
- There are languages that are better suited to express certain thoughts, and different languages and cultures have different names for concepts.
- The existence of large-scale language models changes learning and intellectual production and increases the means of acquiring new knowledge and ideas
- How to use AI to extract information from humans
- The Value of AI in Encouraging Language
- Specifically, by deepening and verbalizing your thoughts, you can examine them more critically and find solutions to contradictory problems.
- The Value of AI in Encouraging Language
- To turn a concept that has not yet been put into words into an operable object, and for that fancy word is needed
- Discovering new knowledge and sharing it with others is a means of value creation
BELOW_IS_LESS_INTERESTING
🤖🔁思考の外在化
2023-08-29 07:16
digest
.
Externalization of thought is an important component of intellectual productivity, especially the technology of verbalization, which is the bottleneck. The use of AI to extract information from humans and the development of LLM suggest that the bottleneck of intellectual production will move to output efficiency in native language. It also emphasizes the need to turn concepts that have not yet been put into words into operable objects and the need for a provisional language to do so.
Nishio’s research note “Scrapbox+GPT4” predicts that the existence of large-scale language models will change learning and intellectual production and increase the means of acquiring new knowledge and ideas. The development of the “Japanese Culture AI” also points out that there are languages suitable for expressing certain thoughts, and that different languages and cultures have different names for them. This is related to my research and reinforces the idea that a provisional language is needed to verbalize concepts that have not been verbalized.
The Keichobot Automatic Summarizer also discusses the value of AI in encouraging verbalization, which is directly related to my research. Specifically, it is hoped that by deepening and verbalizing one’s thoughts, one will be able to examine them more critically and find solutions to conflicting problems.
In “Nodes of Thought 2023-05-22,” it is stated that it is important to retrieve in words what is yet to be put into words in the human mind. This is consistent with my research, and it also states that discovering new knowledge and communicating it to others is a means of value creation. This reinforces my emphasis on the importance of turning “not yet verbalized concepts” into “operable objects.”
Based on the above, it can be said that important connections exist between my research and Nishio’s research notes. In particular, we find a common understanding of the importance of verbalization and the role of AI for this purpose. These perspectives are important themes that should be explored in depth in future research.
extra info
titles: ["Scrapbox+GPT4","\"Japanese Culture AI \"]: "Plurality" for global deliberation", "How to encourage verbalization", "Keichobot automatic summarization function", "Thought node 2023-05-22", "From one subjectivity or objectivity, not To the subjectivity of the many."]
generated: 2023-08-29 07:16
previous notes
Externalization of 🤖🔁thought Externalization of thoughts is important.
- The art of verbalization is the bottleneck in intellectual productivity.
- How to use AI to extract information from humans
- The development of LLM moves the bottleneck of intellectual production to output efficiency in the native language.
- Value in social implementation
- A story about the verbalization of unverbalized sensations and the refinement and nurturing of ideas
- Concepts that have not yet been put into words
- Cannot target “that which has not yet been put into words.”
- Turn it into an operable object
- Name the concept
- Hooks to fish for what has not yet been verbalized.
- Need a tentative word to verbalize concepts that have not been verbalized
BELOW_IS_LESS_INTERESTING
🤖🔁思考の外在化
2023-08-28 07:17
digest
.
In “Externalization of Thought Matters,” it is necessary to give a name to a concept that has not yet been verbalized in order to turn it into an operable object. In “Hooks for Fishing Out What Has Yet to Be Linguified,” a provisional word is needed to verbalize a concept that has not yet been verbalized.
In “Nodes of Thought 2023-02-19,” it is shown that value is found in social implementation. In addition, “The Engineer’s Art of Intellectual Production: A Summary of Repercussions” discusses the verbalization of unverbalized sensations and the refinement and cultivation of ideas.
In “The Development of LLM Moves the Bottleneck of Intellectual Production to Output Efficiency in Native Languages,” it is stated that the development of LLM moves the bottleneck of intellectual production to output efficiency in native languages.
The “hook for fishing what has not yet been verbalized” requires a hypothetical word to verbalize a concept that has not yet been verbalized.
The “post-LLM worldview” states that “what has not yet been put into words” cannot be covered.
In “The Art of Linguistics,” he describes the art of verbalization as a bottleneck in intellectual productivity.
In “Preparation 2 of the column on ChatGPT,” you state that AI should be used to extract information from humans.
These notes underscore the importance of verbalization and the need for technology to aid it. Another important theme is the value of social implementation and the shifting of bottlenecks in intellectual production through the development of LLM.
extra info
TITLES: ["Nodes of Thought 2023-02-19", "The Engineer's Art of Intellectual Production Reaction Summary", "The development of LLM moves the bottleneck of intellectual production to output efficiency in the native language", "Hooks for fishing what is not yet verbalized", "The post-LLM worldview"," Technologies for Linguizing", "Preparation of a column about ChatGPT 2"]
generated: 2023-08-28 07:17
previous notes
Externalization of 🤖🔁thought Externalization of thoughts is important.
The post-LLM worldview.”
- Cannot target “that which has not yet been put into words.”
- Naming a concept turns that concept into an operable object.
A hook to fish for what hasn’t yet been verbalized.”
- Need a tentative word to verbalize concepts that have not been verbalized
BELOW_IS_AI_GENERATED
🌀思考の外在化
2023-09-25 07:09
note digest
. Externalization of thoughts increases intellectual productivity, but verbalization is the bottleneck; AI will extract information, and the development of LLM will move the bottleneck of intellectual production to output efficiency in the native language. It is also necessary to turn concepts that have not yet been verbalized into operable objects.
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?
fragment digest
. Nishio’s studies “🤖🔁Collaboration with AI” and “🤖🔁Externalization of Thought” argue that AI-human collaboration improves intellectual productivity, promotes democratization of knowledge, and enables automation and efficiency . However, details are needed on how to proceed, how improvements in Japanese AI technology might affect Japanese culture and identity, and how the SF prototyping of the Omoikane project will test new methodologies for deliberation.
In “🤖🔁Once Chaos is Brought to Us,” collaboration and the SECI model are beneficial for improving AI and human knowledge productivity, and new forms of teamwork are emerging. Improvements in Japanese AI technology may have an impact on Japanese culture and identity.
In “🤖Intelligent Collaboration Between AI and Humans,” he discusses considerations and concerns about the use of AI, human-AI communication, and the Omoikane project.
In “🤖🔁The Difference Between ‘Made’ and ‘Used’”, “Worldview after LLM”, “Language Modeling Experiment 2018-09-28”, “20191011 Tachikawa Nishio”, “Developing a “Japanese Cultural AI”: plurality for global deliberation” The paper describes the following.
Relation to Fragment
. Notes and Nishio’s research “🤖🔁Collaboration with AI,” “🤖🔁Externalization of Thinking,” “🤖🔁Once Chaos is Brought 🤖🤖🔁Intellectual Collaboration between AI and Humans,” and “🤖🔁The Difference Between ‘Made’ and ‘Used’” are specific ways AI and human collaboration can proceed and how improvements in Japanese AI technology will affect Japanese culture and identity. It points to the need for more detailed explanations of the possibilities, and how the SF prototyping of the Omoikane project will test new methodologies for deliberation. We believe that these perspectives provide important guidelines for deeply exploring the possibilities of AI-human collaboration.
Opinion
. It has been suggested that AI-human collaboration has the potential to improve intellectual productivity. In particular, we have found that “🤖🔁Collaboration with AI,” “🤖🔁Externalization of Thought,” “🤖🔁Once Chaos Is Brought to Life,” “🤖🔁Collaboration with AI and human intellectual collaboration,” and “🤖🔁The difference between ‘made’ and ‘used’” fragments are about the specific ways AI and humans collaborate and how improvements in Japanese AI technology may affect Japanese culture and identity. and how the SF prototyping of the Omoikane project will test new methodologies of deliberation. We believe that these perspectives provide important guidelines for deeply exploring the possibilities of AI-human collaboration.
summary of thoughts
It has been suggested that AI-human collaboration has the potential to improve intellectual productivity. In particular, we have found that “🤖🔁Collaboration with AI,” “🤖🔁Externalization of Thought,” “🤖🔁Once Chaos Is Brought to Life,” “🤖🔁Collaboration with AI and human intellectual collaboration,” and “🤖🔁The difference between ‘made’ and ‘used’” fragments are about the specific ways AI and humans collaborate and how improvements in Japanese AI technology may affect Japanese culture and identity. and how the SF prototyping of the Omoikane project will test new methodologies of deliberation. We believe that these perspectives provide important guidelines for deeply exploring the possibilities of AI-human collaboration.
Title
. “Increasing Intellectual Productivity Through AI-Human Collaboration.”
extra info
titles: ["🌀Yasukazu Nishio","🌀Once Chaos is Brought","🌀Intellectual Production","🌀The Value of Natural Resources"]
generated: 2023-09-25 07:09
BELOW_IS_AI_GENERATED
🌀思考の外在化
2023-10-28 07:10
note digest
. Externalization of thoughts increases intellectual productivity, but verbalization is the bottleneck; AI will extract information, and the development of LLM will move the bottleneck of intellectual production to output efficiency in the native language. It is also necessary to turn concepts that have not yet been verbalized into operable objects.
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?
fragment digest
. Nishio’s studies “🤖🔁Collaboration with AI” and “🤖🔁Externalization of Thought” argue that AI-human collaboration improves intellectual productivity, promotes democratization of knowledge, and enables automation and efficiency . However, details are needed on how to proceed, how improvements in Japanese AI technology might affect Japanese culture and identity, and how the SF prototyping of the Omoikane project will test new methodologies for deliberation.
In “🤖🔁Once Chaos is Brought to Us,” collaboration and the SECI model are beneficial for improving AI and human knowledge productivity, and new forms of teamwork are emerging. Improvements in Japanese AI technology may have an impact on Japanese culture and identity.
In “🤖Intelligent Collaboration Between AI and Humans,” he discusses considerations and concerns about the use of AI, human-AI communication, and the Omoikane project.
In “🤖🔁The Difference Between ‘Made’ and ‘Used’”, “Worldview after LLM”, “Language Modeling Experiment 2018-09-28”, “20191011 Tachikawa Nishio”, “Developing a “Japanese Cultural AI”: plurality for global deliberation” The paper describes the following.
Fragment
. 🤖🔁 Successful intelligence
Nishio’s “Collaboration with AI” presents the idea that diverse perspectives are offered to improve knowledge productivity. In “Knowledge, Capitalism, and the Technologist Condition,” it is stated that discovering and communicating new knowledge is a means of value creation, and that knowledge can be transformed and communicated to others, creating customer value.
Opinion
. These notes and fragments suggest that AI-human collaboration has the potential to improve intellectual productivity. In particular, they include “🤖🔁Collaboration with AI,” “🤖🔁Externalization of Thinking,” “🤖🔁Once Chaos is Brought to AI and human intellectual collaboration,” and “🤖🔁The difference between ‘made’ and ‘used’” fragments are about the specific ways AI and humans collaborate and how improvements in Japanese AI technology may affect Japanese culture and identity. and how the SF prototyping of the Omoikane project will test new methodologies of deliberation. We believe that these perspectives provide important guidelines for deeply exploring the possibilities of AI-human collaboration.
Fragment
.
🌀Teamwork with AI
. 🌀Externalization of Thinking indicates the potential for AI-human collaboration to improve intellectual productivity, which is consistent with the content of the note. 🌀Successful Intelligence” illustrates the notion that diverse perspectives can be offered to improve knowledge productivity, which is relevant to the content of the note. 🌀The human-AI boundary emphasizes the importance of knowledge sharing between humans and AI, which is relevant to the content of the note. 🤖🔁Teamwork with AI” describes optimal forms of AI-human collaboration and is relevant to the content of the note. 🌀Scrapbox” raises questions about the optimal balance in AI-human collaboration and is related to the content of the note.
deep thinking
Given the potential for AI-human collaboration to improve intellectual productivity, it is important to think deeply about the relationship between AI and humans and forms of collaboration. It is also necessary to consider the optimal balance in AI-human collaboration and the assurance of quality and accuracy of new AI functions.
summary of thoughts
“AI-Human Collaboration for Increasing Intellectual Productivity and the Challenges It Faces.”
Fragment
.
🌀Lost between development and speculation: the obscurity of Next Action
. Nishio’s “🤖🔁Human and AI Share Objectives” is related to the proposed microformat for humans and AI to share objectives. Also, “🤖🔁Externalization of Thought” is related to the ability of AI to express its search behavior in words.
deep thoughts and questions
The ability of AI to express its search behavior in words is important, but how it is acquired and utilized is not yet clear. Also, a detailed description of how to write microformats and their effectiveness in helping humans and AI share objectives is needed.
one-line summary
. The optimal balance between AI and human intellectual collaboration and the specific ways to achieve this need to be explored in depth.
Title
. Toward Optimizing Intelligent Collaboration Between AI and Humans.”
extra info
TITLES: ["🌀Teaming with AI", "🌀Lost between development and speculation: the uncertainty of next actions", "🌀Collaboration with AI", "🌀Successful intelligence"]
generated: 2023-10-28 07:10
This page is auto-translated from /nishio/🌀思考の外在化 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.