🌀Human-AI Boundaries

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The "Human-AI Boundary" and "Human-AI Shared Purpose" studies indicated that the difficulty in defining the boundary between AI and humans, the level of trust in AI, and the level of human judgment retention are important issues. These require deeper consideration of the relationship and boundaries between humans and AI.

In "Intelligent Collaboration Between AI and Humans" and "Viewing AI and Humans as Equals and Engaged in the Same Task," the importance of knowledge sharing between humans and AI is emphasized. These are deeply relevant to my research.

In "An AI-human dialogue unfolds, in which the AI understands individual perspectives and states its own ideas based on them," the idea is that AI-human collaboration provides a variety of perspectives from which to improve knowledge productivity. This is relevant to my research.

In "Collaboration with AI," the authors present the notion that diverse perspectives are offered to improve the productivity of knowledge. 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 to create customer value.

Scrapbox and Kozaneba are effective for knowledge network formation and information organization, and Scrapbox's information structuring and collaborative editing contribute to intellectual production efficiency. Scrapbox's "Support for Discovering Connections" feature enables the discovery of new knowledge between different content, but its application presents technical challenges. The balance between public and private Scrapbox, the amount of information published, and the advantages and disadvantages of publishing need to be considered; the impact of AI reading and writing Scrapbox and the new knowledge that can be gained by AI emulating itself also need to be studied.

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generated: 2023-09-03 07:38

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🤖🔁Boundary between humans and AI

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The "Human-AI Boundary" and "Human-AI Shared Purpose" studies presented a perspective in which AI does not take jobs, but humans who can master new technologies do. the difficulty of defining the boundary between AI and humans, the level of trust in AI, and the level of judgment retention by humans are important issues. These require deeper consideration of the relationship and boundaries between humans and AI.

In "Intelligent Collaboration between AI and Humans" and "AI and Humans as Equals and Engaged in the Same Task," questions are raised about the relationship and boundaries between AI and humans, and the importance of knowledge sharing between humans and AI is emphasized. These are deeply relevant to my research.

In "An AI-human dialogue unfolds, in which the AI understands individual perspectives and states its own ideas based on them," the idea is that AI-human collaboration provides a variety of perspectives from which to improve knowledge productivity. This is relevant to my research.

Question:

What is Nishio's idea generation method?

How do his communication skills affect his ability to solve problems?

How are his values and perspectives reflected in his research and work?

Why did he choose parallel work and how did it affect him?

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generated: 2023-08-31 21:39

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🤖🔁Boundary between humans and AI

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The study on the "human-AI boundary" presented the perspective that AI does not take jobs, but that humans who can learn new skills take the jobs of those who cannot. the difficulty of defining the boundary between AI and humans, how much to trust AI and how much humans retain their own judgment, are difficult issues that define the human-AI is a difficult issue that defines the boundary between human and AI.

The study on "humans and AI share objectives" presented the perspective that AI does not take jobs, but rather humans with high affinity for technology take the jobs of humans with low affinity for technology As AI evolves, the nature of jobs changes and new skills are required Whether AI can support or replace human judgment depends on the degree of human acceptance. depends on the level of human acceptance.

These studies call for deeper consideration of the relationship and boundaries between humans and AI. We also feel that future research should further explore the question of the extent to which humans should retain their own judgment and the extent to which they should trust AI as AI evolves.

In "Intelligent Collaboration Between AI and Humans," questions are raised about the boundaries between AI and human writing, the degree to which AI can be trusted, and the degree to which humans should retain their own judgment. This is deeply relevant to my research and requires deep thinking about the relationship and boundaries between AI and humans.

In "Viewing AI and humans as equals and engaged in the same task," the report calls for the creation of new relationships between AI and humans and "co-collaboration" in which 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.

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generated: 2023-08-30 07:11

previous notes

🤖🔁Boundary between humans and AI

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The study on the "human-AI boundary" presented the perspective that AI does not take jobs, but that humans who can learn new skills take the jobs of those who cannot. the difficulty of defining the boundary between AI and humans, how much to trust AI and how much humans retain their own judgment, are difficult issues that define the human-AI boundary between AI and humans is a difficult problem to define. Questions were also raised as to where the boundary between AI and humans should be drawn, whether the evolution of AI will change the degree to which humans should retain their own judgment, and how to decide how much to trust AI.

The study on "humans and AI sharing objectives" also presented the perspective that AI does not take jobs, but rather humans with high affinity for technology take jobs from humans with low affinity for technology. as AI evolves, the nature of jobs will change and new skills will be required. whether AI can support or replace human judgment depends on the level of human acceptance. Whether AI can support or replace human judgment depends on the level of human acceptance; setting rules and balancing AI-human interaction is important and requires some time to think through.

These studies call for deeper consideration of the relationship and boundaries between humans and AI. We also feel that future research should further explore the question of the extent to which humans should retain their own judgment and the extent to which they should trust AI as AI evolves.

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generated: 2023-08-29 10:35

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🤖🔁Boundary between humans and AI

Turned it into "The Human-AI Boundary."

AI does not take jobs; people with high affinity for technology take jobs from people with low affinity for technology.

Low resolution of work

People who can learn new skills take the jobs of those who cannot.

Whether it is an AI or not is not so essential.

Difficulty in defining the boundary between AI and humans

The degree to which we trust AI and the degree to which humans retain their own judgment are difficult questions that define the boundary between humans and AI

Where should the line be drawn between AI and humans?

Will the evolution of AI change the degree to which humans should retain their own judgment?

How should we decide how much we should trust AI?

The fact that it is not obvious where it is appropriate to draw the boundary means that the two must be gently connected.

When I spoke of "people with high affinity for technology," I was referring to "people" as subjects and "technology" as objects.

So I was from the viewpoint of whether "people" can learn "technology" or not.

If the "technology" side is similarly "human-like," then the picture of this composition changes.

For example, when a foreigner enters an all-Japanese workplace, there will be those who can act "friendly" and those who will reject him or her.

In Japan, a country with a declining labor force due to an aging population and low birthrate, a reluctant immigration policy that does not accept people from areas of population growth, and an affinity for AI and robots due to science fiction such as Doraemon, the needs of other countries will be met by AI and robots to meet the needs of other countries through immigration. Maybe.

As AI evolves, the nature of work will change and new skills will be required.

Whether AI can support or replace human judgment depends on the level of human acceptance.

Setting and balancing the rules for human-AI interaction is important and requires some time to think about it.

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AI will not take jobs, but humans with high affinity for technology will take jobs from humans with low affinity for technology; as AI evolves, the nature of jobs will change and new skills will be required; whether AI can support or replace human judgment will depend on the level of human acceptance; the degree to which AI can be trusted by humans will depend on the level of human acceptance. Setting rules and balancing the human-AI interaction is important and requires time to think through; the degree to which we trust AI and the degree to which we retain our own judgment are difficult questions that define the boundaries between humans and AI.

The fragment "AI will take your job" is related to my note about low job resolution. This reinforces the idea that AI does not take jobs, but that those who can learn new skills take the jobs of those who cannot. The fragment that "being AI or not" is less essential also illustrates the difficulty of defining the boundary between AI and humans.

Deep thoughts and questions

Where should the line be drawn between AI and humans? Will the evolution of AI change the degree to which humans should retain their own judgment? And how should we decide how much we should trust AI? These are important questions that should be explored in depth in future research.

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generated: 2023-08-28 07:15

previous notes

🤖🔁Humans and AI share a common goal.

AI will not take away jobs.

People with high affinity for technology take jobs from people with low affinity for technology.

As AI evolves, the nature of work changes and

New skills are required.

Can AI assist or replace human judgment?

Depends on the degree of human acceptance.

Setting rules for AI-human interaction

Balancing Humans and AI

Take some time to think about it.

Important essential thinking takes place.

How much trust do you have in AI?

Boundary between humans and AI

It is difficult to draw a clear line between humans and AI.

Its boundaries are fluid

To what extent do humans retain their own judgment?

AI's capabilities may surpass those of humans.

Changing with the evolution of AI

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https://gyazo.com/dac54a4ec071b4f87d3724cb67f41ae8

Purpose: Consideration of shared purpose between humans and AI

Microformats are useful for sharing objectives between humans and AI, and clarification of task details and context is important. There are "written" and "unwritten" ways of communicating information, each of which affects problem-solving approaches and task management; setting rules for AI-human interaction and whether AI can support or replace human judgment are important issues. Balancing human and AI is an essential thought that is more important when considered over time.

Fragments such as "changes in the rules of work caused by advances in information technology" and "AI will take jobs away" could affect the way humans and AI share objectives and communicate information. In addition, the "human-AI boundary" is related to the balancing act between humans and AI.

Deep thoughts and questions

The ability of AI to support or replace human judgment depends on the AI's capabilities and the degree of human acceptance. Also, the balancing act between human and AI depends on the degree to which the AI is trusted and the degree to which the human retains his or her own judgment. These issues may change as AI evolves.

Regarding "AI taking jobs," it is important to take the perspective that AI is not taking jobs, but that humans with high technological affinity are taking the jobs of humans with low technological affinity. This indicates that as AI evolves, the nature of jobs will change and new skills will be required.

Regarding the "human-AI boundary," it is difficult to draw a clear line between humans and AI, and the boundary is likely to be fluid. This indicates that AI capabilities may exceed those of humans.

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generated: 2023-08-26 07:15

previous notes

🤖🔁Humans and AI share a common goal.

Purpose: Consideration of shared purpose between humans and AI

Shared objectives for humans and AI

Microformats are enabled

Clarification of task details and context

information transmission

"Write."

Implementation of write APIs and automatic generation and deletion of information

Communicating in a Non-Written Manner."

Affects problem-solving approach

Task management and prioritization methods

Increased productivity

Use of Metaphors

Understanding customer needs

Customer Satisfaction Improvement Techniques

Consideration of shared objectives between humans and AI

Setting rules for AI-human interaction

Can AI assist or replace human judgment?

Balancing Humans and AI

More important essential thinking is done by taking time to think

Emergence of AI requires changes in human mental models

When AI becomes smarter than humans, AI should set its own rules.

Expanding Documentation with AI

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Purpose: Summary of shared purpose considerations for humans and AI

Microformats are useful for sharing objectives between humans and AI, and task details and context should be made explicit. For information transfer, "written" and "unwritten" methods of information transfer are considered, and the implementation of written APIs and automatic generation and deletion of information are important. The relationship between technology and problem solving is presented, influencing technology selection and problem solving approaches. Insights into task management and prioritization methods are provided, providing a method for improving productivity. The problem-solving process for bug resolution is presented and provides a problem-solving methodology. Insights into the use of metaphors and understanding customer needs are found, providing techniques for problem solving and improving customer satisfaction.

From Nishio's "GPT4 and the Nodes of Thinking that Talk 2023-08-10" and "Scrapbox+GPT4," we see a discussion of setting rules for AI-human interaction and how AI can support or replace human judgment. In "Diary 2023-06-09," we see a discussion of the challenges in implementing AI technology in a responsible manner and the benefits AI technology can bring to society. In "The Omoikane Project," goals are presented regarding the examination of a new methodology for deliberation based on science fiction prototyping and the creation of an AI that reflects Japanese culture and thinking. These provide important perspectives in the consideration of shared human and AI goals.

Nishio's "Nodal Point of Thought on Scrapbox and AI 2023/8/16" shows that a balancing act between humans and AI is needed, and "One Diary a Day" shows that more important essential thinking is done by taking time to think. In "Preparing a Column on ChatGPT," it is shown that the emergence of ChatGPT and AI requires a change in human mental models. In "Diary 2023-06-08," it is indicated that when AI becomes smarter than humans, it is better for AI to set its own rules. In "Diary 2023-03-24," it is hoped that AI will expand documentation. These provide an important perspective in the consideration of shared objectives between humans and AI.

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generated: 2023-08-25 07:25

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🤖🔁Humans and AI share a common goal.

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AI_IGNORE: GPT failed

Purpose: Consideration of shared purpose between humans and AI

Microformats are effective for sharing objectives between humans and AI; Nishio's "intelligent collaboration between AI and humans" and "AI is a friend" indicate that task details and context must be made explicit and that "collaboration" with AI is important. For information transfer, "writing" and "transfer by unwritten methods" are considered, and implementation of writing APIs and automatic generation and deletion of information are important. The "Technology and Problem Solving Diagram" shows the relationship between technology and problem solving, which influences technology selection and problem solving approaches. The "Engineer's Guide to Intellectual Production: A Full Hierarchical Table of Contents" provides insight into how to manage and prioritize tasks, providing a method for improving productivity. In "A Mysterious Log Breakdown Bug Happened and I Need to Talk to You," a problem-solving process for resolving the bug is presented and provides a problem-solving approach. In "Transcript of BMOT 4th Session," insight into the use of metaphors and understanding customer needs is found, providing a method for problem solving and improving customer satisfaction.

From Nishio's "GPT4 and the Nodes of Thinking that Talk 2023-08-10" and "Scrapbox+GPT4," we see a discussion of setting rules for AI-human interaction and how AI can support or replace human judgment. In "Diary 2023-06-09," we see a discussion of the challenges in implementing AI technology in a responsible manner and the benefits AI technology can bring to society. In "The Omoikane Project," goals are presented regarding the examination of a new methodology for deliberation based on science fiction prototyping and the creation of an AI that reflects Japanese culture and thinking. These provide important perspectives in the consideration of shared human and AI goals.

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generated: 2023-08-24 12:50

previous notes

🤖🔁Humans and AI share a common goal.

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Purpose: Consideration of shared purpose between humans and AI

Microformats are effective for sharing objectives between humans and AI; Nishio's "intelligent collaboration between AI and humans" and "AI is a friend" indicate that task details and context must be made explicit and that "collaboration" with AI is important. For information transfer, "writing" and "transfer by unwritten methods" are considered, and implementation of writing APIs and automatic generation and deletion of information are important. The "Technology and Problem Solving Diagram" shows the relationship between technology and problem solving, which influences technology selection and problem solving approaches. The "Engineer's Guide to Intellectual Production: A Full Hierarchical Table of Contents" provides insight into how to manage and prioritize tasks, providing a method for improving productivity. In "A Mysterious Log Breakdown Bug Happened and I Need to Talk to You," a problem-solving process for resolving the bug is presented and provides a problem-solving approach. In "Transcript of BMOT 4th Session," insight into the use of metaphors and understanding customer needs is found, providing a method for problem solving and improving customer satisfaction.

From Nishio's "GPT4 and the Nodes of Thinking that Talk 2023-08-10" and "Scrapbox+GPT4," we see a discussion of setting rules for AI-human interaction and how AI can support or replace human judgment. In "Diary 2023-06-09," we see a discussion of the challenges in implementing AI technology in a responsible manner and the benefits AI technology can bring to society. In "The Omoikane Project," goals are presented regarding the examination of a new methodology for deliberation based on science fiction prototyping and the creation of an AI that reflects Japanese culture and thinking. These provide important perspectives in the consideration of shared human and AI goals.

extra info

generated: 2023-08-24 07:15

previous notes

🤖🔁Humans and AI share a common goal.

Purpose: Consideration of shared purpose between humans and AI

Microformats are useful for sharing objectives between humans and AI; Nishio's "I wish AI could manage tasks" and "Collaboration with AI" indicate that task details and context must be explicit and that "collaboration" with AI is important.

Writing" and "communicating by non-writing methods" are considered for information transfer, and the implementation of a writing API and automatic generation and deletion of information are important.

The "Technology and Problem Solving Diagram" shows the relationship between technology and problem solving, which influences technology selection and problem-solving approaches.

The "The Engineer's Art of Intellectual Production: A Full Hierarchical Table of Contents" provides insight into how to manage and prioritize tasks, offering a productivity-boosting approach.

In "I have a bug with a mysterious log breakdown and would like to discuss it," a problem-solving process for resolving the bug is presented and a problem-solving methodology is provided.

In the "Transcript of BMOT's Fourth Annual Meeting," we see a discussion of the use of metaphors and understanding customer needs, providing techniques for problem solving and improving customer satisfaction.

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omni.icon

Purpose: Consideration of shared purpose between humans and AI

Microformats are useful for sharing objectives between humans and AI; Nishio's "I wish AI could manage tasks" and "Collaboration with AI" indicate that task details and context must be explicit and that "collaboration" with AI is important.

Writing" and "communicating by non-writing methods" are considered for information transfer, and the implementation of a writing API and automatic generation and deletion of information are important.

The "Constraints with N around 10~20" shows the change in the amount of calculation depending on the value of N. This is a reference for considering the processing load due to the amount and complexity of the task.

The "Technology and Problem Solving Diagram" shows the relationship between technology and problem solving, which influences technology selection and problem-solving approaches.

The "The Engineer's Art of Intellectual Production: A Full Hierarchical Table of Contents" provides insight into how to manage and prioritize tasks, offering a productivity-boosting approach.

In "I have a bug with a mysterious log breakdown and would like to discuss it," a problem-solving process for resolving the bug is presented and a problem-solving methodology is provided.

In the "Transcript of BMOT's Fourth Annual Meeting," we see a discussion of the use of metaphors and understanding customer needs, providing techniques for problem solving and improving customer satisfaction.

extra info

generated: 2023-08-23 20:44

previous notes

🤖🔁Humans and AI share a common goal.

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omni.icon

Purpose: Consideration of shared purpose between humans and AI

Microformats are useful for sharing objectives between humans and AI; Nishio's "I wish AI could manage tasks" and "Collaboration with AI" indicate that task details and context must be explicit and that "collaboration" with AI is important.

Writing" and "communicating by non-writing methods" are considered for information transfer, and the implementation of a writing API and automatic generation and deletion of information are important.

The "Constraints with N around 10~20" shows the change in the amount of calculation depending on the value of N. This is a reference for considering the processing load due to the amount and complexity of the task.

The "Technology and Problem Solving Diagram" shows the relationship between technology and problem solving, which influences technology selection and problem-solving approaches.

The "The Engineer's Art of Intellectual Production: A Full Hierarchical Table of Contents" provides insight into how to manage and prioritize tasks, offering a productivity-boosting approach.

In "I have a bug with a mysterious log breakdown and would like to discuss it," a problem-solving process for resolving the bug is presented and a problem-solving methodology is provided.

In the "Transcript of BMOT's Fourth Annual Meeting," we see a discussion of the use of metaphors and understanding customer needs, providing techniques for problem solving and improving customer satisfaction.

extra info

generated: 2023-08-23 14:19

previous notes

🤖🔁Humans and AI share a common goal.

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omni.icon

Purpose: Consideration of shared purpose between humans and AI

Microformats are useful for sharing objectives between humans and AI; Nishio's "I wish AI could manage tasks" and "Collaboration with AI" indicate that task details and context must be explicit and that "collaboration" with AI is important.

Writing" and "communicating by non-writing methods" are considered for information transfer, and the implementation of a writing API and automatic generation and deletion of information are important.

The "Constraints with N around 10~20" shows the change in the amount of calculation depending on the value of N. This is a reference for considering the processing load due to the amount and complexity of the task.

The "Technology and Problem Solving Diagram" shows the relationship between technology and problem solving, which influences technology selection and problem-solving approaches.

The "The Engineer's Art of Intellectual Production: A Full Hierarchical Table of Contents" provides insight into how to manage and prioritize tasks, offering a productivity-boosting approach.

In "I have a bug with a mysterious log breakdown and would like to discuss it," a problem-solving process for resolving the bug is presented and a problem-solving methodology is provided.

In the "Transcript of BMOT's Fourth Annual Meeting," we see a discussion of the use of metaphors and understanding customer needs, providing techniques for problem solving and improving customer satisfaction.

extra info

generated: 2023-08-23 13:36

previous notes

🤖🔁Humans and AI share a common goal.

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omni.icon

Purpose: Consideration of shared purpose between humans and AI

Microformats are useful for sharing objectives between humans and AI; Nishio's "I wish AI could manage tasks" and "Collaboration with AI" indicate that task details and context must be explicit and that "collaboration" with AI is important.

Writing" and "communicating by non-writing methods" are considered for information transfer, and the implementation of a writing API and automatic generation and deletion of information are important.

The "Constraints with N around 10~20" shows the change in the amount of calculation depending on the value of N. This is a reference for considering the processing load due to the amount and complexity of the task.

The "Technology and Problem Solving Diagram" shows the relationship between technology and problem solving, which influences technology selection and problem-solving approaches.

The "The Engineer's Art of Intellectual Production: A Full Hierarchical Table of Contents" provides insight into how to manage and prioritize tasks, offering a productivity-boosting approach.

In "I have a bug with a mysterious log breakdown and would like to discuss it," a problem-solving process for resolving the bug is presented and a problem-solving methodology is provided.

In the "Transcript of BMOT's Fourth Annual Meeting," we see a discussion of the use of metaphors and understanding customer needs, providing techniques for problem solving and improving customer satisfaction.

extra info

generated: 2023-08-23 12:21

previous notes

🤖🔁Humans and AI share a common goal.

___BELOW_IS_LESS_INTERESTING___

omni.icon

Purpose: Consideration of shared purpose between humans and AI

Microformats are useful for sharing objectives between humans and AI; Nishio's "I wish AI could manage tasks" and "Collaboration with AI" indicate that task details and context must be explicit and "collaboration" with AI is important.

Writing" and "communicating by non-writing methods" are considered for information transfer, and the implementation of a writing API and automatic generation and deletion of information are important.

The "Constraints with N around 10~20" shows the change in the amount of calculation depending on the value of N. This is a reference for considering the processing load due to the amount and complexity of the task.

The "Technology and Problem Solving Diagram" shows the relationship between technology and problem solving, which influences technology selection and problem-solving approaches.

The "The Engineer's Art of Intellectual Production: A Full Hierarchical Table of Contents" provides insight into how to manage and prioritize tasks, offering a productivity-boosting approach.

In "I have a bug with a mysterious log breakdown and would like to discuss it," a problem-solving process for resolving the bug is presented and a problem-solving methodology is provided.

In the "Transcript of BMOT's Fourth Annual Meeting," we see a discussion of the use of metaphors and understanding customer needs, providing techniques for problem solving and improving customer satisfaction.

extra info

TITLES: Intellectual Production of Engineers Reaction Summary, Hatena2008-02-23, Hitler's Speech, Complementing Context, What Test Users Thought in the Process of Organizing, Crowded Train Discussion, Plato and Archimedes' Cube, Case Studies in Shifting Structures

generated: 2023-08-23 10:51

previous notes

🤖🔁Humans and AI share a common goal.

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Purpose: Consideration of shared purpose between humans and AI

Microformatting of objectives is useful for humans and AI to share objectives; Nishio's fragments "AI should manage tasks" and "Collaboration with AI" suggest that humans need to find the details and context of tasks and put them into words. In addition, "Collaboration with AI" indicates that AI can provide a broader perspective and that it is important for humans and AI to "collaborate" to share experiences.

Considerations can be seen from "write-in" and "non-write-in" methods of communicating information. In order to make the system easily usable for information, implementation of a writing API and automatic generation and deletion of information should be considered.

In "Constraints with N around 10~20," the variation of computational complexity with the value of N is shown. This is helpful when considering the processing load due to the amount and complexity of tasks.

The "Technology and Problem Solving Diagram" shows the relationship between technology and problem solving. This influences technology selection and problem-solving approaches.

The "The Engineer's Art of Intellectual Production: A Full Hierarchical Table of Contents" provides insight into how to manage and prioritize tasks. It provides specific techniques for improving productivity.

In "I have a bug with a mysterious log breakdown and would like to discuss it," a problem-solving process for resolving the bug is presented. It provides specific techniques for problem resolution.

In the "Transcript of BMOT's Fourth Annual Meeting," we find a discussion of the use of metaphors and understanding customer needs. This provides specific techniques for problem solving and improving customer satisfaction.

extra info

TITLES: Kozaneba Development Diary 2021-08-18, Breaking Down the Issues, Hatena2009-05-31, Big and Fast Companies, Hatena2014-09-05, Maps Tell Illustrated Stories, Sordid Debates

generated: 2023-08-23 07:10

previous notes

🤖🔁Humans and AI share a common goal.

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In order to find intent in the AI's output, it is useful to write the objectives in microformat. This allows humans and AI to share the same objectives.

Nishio's fragments "I wish AI would manage my tasks" and "Collaborate with AI" suggest that humans need to find the details and context of the task and put them into words, rather than having AI provide the information. Also, "What would you like to see happen by doing this?" or "How will this bring you closure?" and other questions can help clarify the purpose of the task and the definition of completion.

The "Collaboration with AI" section indicates that AI can provide a broader perspective and that it is important for humans and AI to "collaborate" to share experiences. For this, a cycle that includes cooporation, such as the SECI model, rather than the PDCA cycle, would be beneficial.

The "write in" and "communicate by non-write in" sections provide insight into how information is communicated. In order to make the system easy to use information, implementation of a writing API and automatic generation and deletion of information should be considered.

In "Constraints with N around 10~20," the variation of computational complexity with the value of N is shown. This is helpful when considering the processing load due to the amount and complexity of tasks.

The "Technology and Problem Solving Diagram" shows the relationship between technology and problem solving. This influences technology selection and problem-solving approaches.

The "The Engineer's Art of Intellectual Production: A Full Hierarchical Table of Contents" provides insight into how to manage and prioritize tasks. It provides specific techniques for improving productivity.

In "I have a bug with a mysterious log breakdown and would like to discuss it," a problem-solving process for resolving the bug is presented. It provides specific techniques for problem resolution.

In the "Transcript of BMOT's Fourth Annual Meeting," we find a discussion of the use of metaphors and understanding customer needs. This provides specific techniques for problem solving and improving customer satisfaction.

extra info

TITLES: ai should manage tasks, collaborate with ai, scbot, n around 10~20 constraints, technology and problem solving diagram, intellectual production of engineers full hierarchical table of contents, mysterious log break bug, consultation, transcription of BMOT 4th

generated: 2023-08-22 07:29

previous notes

🤖🔁unnamed2

nishio.icon

A story in which the intent cannot be found in the AI's output.

Humans and AI read the same things.

Sharing Objectives

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Research on human-AI boundaries and shared objectives indicates that the definition of AI-human relationships and boundaries, AI trustworthiness, and human judgment retention are important issues.

Fragments on "intelligent collaboration between AI and humans" and "viewing AI and humans as equals and engaged in the same task" emphasize the importance of knowledge sharing between humans and AI.

The fragment "An AI-human dialogue develops, in which the AI understands individual perspectives and states its own ideas based on them" is related to the note "The Human-AI Boundary." This illustrates the idea that AI-human collaboration provides a variety of perspectives to improve knowledge productivity.

deep thinking

These notes and fragments call for deep thinking about the possibility of AI-human collaboration and how it can be achieved. Specifically, we feel that a detailed description of how AI and humans can collaborate and how this can improve knowledge productivity is needed.

Summary of thoughts

"An in-depth look at the potential for AI-human collaboration and how it might be achieved."

Scrapbox and Kozaneba are effective for knowledge network formation and information organization, and Scrapbox's information structuring and collaborative editing contribute to intellectual production efficiency. However, the balance between public and private use of Scrapbox, the amount of information made public, and the advantages and disadvantages of public use need to be considered. Research is also needed on the impact of AI reading and writing Scrapbox and the new knowledge gained by AI emulating itself.

The fragment "Intelligent Collaboration Between AI and Humans" is related to the note "Scrapbox and Kozaneba." This shows the potential for AI and human collaboration to improve intellectual productivity.

deep thinking

The project will require deep thinking about how Scrapbox and Kozaneba can be used and the optimal balance between working with AI and collaborating. Specifically, the questions of how AI's presence and statements will affect human discussions and how the quality and accuracy of AI's new capabilities should be assured are key issues.

Summary of thoughts

"A deeper look at the optimal balance between leveraging Scrapbox and Kozaneba and working collaboratively with AI."

extra info

generated: 2023-09-08 07:10

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The "Boundaries between Humans and AI" and "Humans and AI Share Objectives" studies present issues about the relationship and boundaries between humans and AI and call for in-depth discussion. In addition, "Intelligent Collaboration between AI and Humans" and "AI and Humans as Equals and Engaged in the Same Task" emphasize the importance of knowledge sharing between humans and AI.

Fragments "Collaboration with AI," "BMOT Special Class 1: Intellectual Production," and "Omoikane Study Group" emphasize the importance of AI-human collaboration and knowledge sharing, which is closely related to the note. In "AI-human dialogue unfolds, with AI understanding individual perspectives and basing its own ideas on them," the idea is that AI-human collaboration provides a variety of perspectives from which to improve knowledge productivity.

deep thinking

While emphasizing the importance of AI-human collaboration and knowledge sharing, further research is needed on the specific ways to proceed and the impact of such collaboration. Also important is the question of how to ensure the optimal balance in AI-human collaboration and the quality and accuracy of new AI capabilities.

summary of thoughts

"The Importance of AI-Human Collaboration and Knowledge Sharing and the Challenges It Faces."

"AI and Human Collaboration: the Importance and Challenges of Knowledge Sharing."

extra info

generated: 2023-10-04 07:09

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