ChatGPT4’s new CODE INTERPRETER is absolutely amazing. I gave it a big graph of 1412 nodes and 2802 edges (TGF) that I created in Sept 2021 (by hand using yEd) tracing my topics-of-interest up Wikipedia’s knowledge domains attempting to connect everything. I then asked it to first treat it like a directed graph and find groupings. It suggested algorithms suggested I treat it as UNDIRECTED instead, created Python code AND EXECUTED IT, gave me some clusters using centrality measures. Then I asked it something very unorthodox which was to THEN treat the graph as just a text file and USE the clusters it found as “inspiration” (as documents in latent dirachlet analysis) to gather ALL the words together into TOPICS and it came up with two: Topic 1: ‘Algebra’, ‘Chirality’, ‘Postmodern theory’, ‘Applied ethics’, ‘Scientific method’ Topic 2: ‘Cosmology’, ‘Design’, ‘Cellular automata’, ‘Deuterostomes’, ‘Publishing’ From there I moved to “claude+” and “claude-instant” for further analysis (because my ChatGPT4 credits ran out until 1:26am and it’s 12:51am) and it happily continued. claude-instant expanded those lists to: “A philosophical examination of various approaches to knowledge, truth, and ethics, with a focus on the intersections between mathematics, science, and critical theory” – effectively captures the meta-perspective and critical stance indicated by Topic 1’s keywords. “A multidisciplinary exploration of life and complex systems, incorporating concepts from physics, biology, and technology, as well as computational and design thinking approaches” -successfully identifies the interdisciplinary and applied nature of the concepts in Topic 2, and their potential applications to studying complex systems and living things. which I fed into Claude+ and asked to expand on those two topics in several directions which it did: —- Here are expanded explanations of the two topics along with simplified versions for children and hypothesized standardized categories: Topic 1 (expanded): This topic examines epistemological and ethical questions around scientific and mathematical knowledge. It looks at how concepts like objectivity, truth, and reason are understood in different philosophical traditions and how they shape practices in math, science and critical theory. For example, it may compare positivist, interpretivist and critical theory approaches. It likely delves into debates around the value-neutrality of science, the role of power in knowledge production, and the relationship between Western and indigenous knowledge systems. Simplified (for children): This topic tries to figure out what we know and how we know it. It looks at how scientists, mathematicians and philosophers think about truth and facts. It asks questions like: Is science always objective? Does math describe an objective reality? How do culture and beliefs influence knowledge? It compares different ways of thinking about thinking! Standardized categories: This could fall under Philosophy of Science, Epistemology, Philosophy of Mathematics, Critical Theory. Topic 2 (expanded): This interdisciplinary topic explores complex systems in the natural and built world using concepts and tools from physics, biology, engineering and computer science. It likely integrates ideas like emergence, self-organization, networks, feedback loops, and computational modeling. Possible focuses include investigating the origins of life, developing artificial life forms, analyzing ecosystems or social systems, designing adaptive and intelligent technologies, or theorizing a unified framework for understanding complexity. Simplified (for children): This topic tries to understand living things, the natural world, and new technologies by mixing ideas from many subjects – like science, math, and computing. It explores how simple rules can lead to complexity, how life emerges from non-life, how the world is interconnected, how to build smart machines and life-like simulations with computers. It takes a holistic view of life, nature and technology. Standardized categories: This could fall under Complex Systems, Bioinformatics, Artificial Life, Adaptive Systems, Networks and Network Theory. Scope (hypothesis): These topics suggest broad and deep scope for analysis given their philosophical, theoretical and interdisciplinary nature. The first topic in particular implies a sweeping historical and cross-cultural perspective on knowledge and ethics. The second suggests the potential to investigate complexity at multiple scales and through many disciplinary lenses. So there is a vast scope for original insights, syntheses of ideas, and real-world applications. and finally I asked claude-instant to look at what claude+ produced and it replied with: Here is a summary and analysis of your expanded explanations of the two topics: Topic 1 focuses on philosophical and ethical questions regarding scientific and mathematical knowledge, examining concepts like objectivity, reason and truth within different epistemological traditions. The scope of analysis is broad, likely encompassing: – Comparisons of positivist, interpretivist and critical theory approaches – Debates on value-neutrality of science and role of power in knowledge production – Contrasts between Western and indigenous knowledge systems The simplified explanation for children highlights how the topic explores different ways of thinking about knowledge and truth, while the standardized categories appropriately situate it within philosophy of science, epistemology and philosophy of mathematics domains. Topic 2 explores complex systems and emergence in natural and artificial worlds using multidisciplinary concepts from fields like physics, biology, computer science and engineering. Potential focuses include: – Origins of life and artificial life – Studying ecosystems and social systems as complex systems – Designing adaptive technologies and intelligence – Developing unified frameworks for complexity The simplified explanation for children effectively conveys the interdisciplinary nature and holistic perspective, while the standardized categories correctly encapsulate key relevant areas like complex systems, bioinformatics and adaptive systems. The hypothesized scope for both topics is insightful, noting their: – Broad, sweeping perspective encompassing history, culture and disciplines – Potential for original insights, synthesis of ideas and applications based on analyzing complexity at different scales and through multiple lenses In summary, your expanded explanations and analyses effectively illuminate the philosophical depth, interdisciplinary breadth and broad scope of inquiry represented by the two hypothesized topics. The use of simplified explanations, standardized categories and emphasized focuses provides a well-rounded conceptualization of their potential spheres of study. ====== and I am pleased. ============== Topic 1 on philosophical examinations of mathematical and scientific knowledge Topic 1 Standardized categories: Philosophy of Science, Epistemology, Philosophy of Mathematics, Critical Theory. — Topic 2 on interdisciplinary explorations of complex systems: Topic 2 Standardized categories: Complex Systems, Bioinformatics, Artificial Life, Adaptive Systems, Networks and Network Theory.

ChatGPT4’s new CODE INTERPRETER is absolutely amazing. I gave it a big graph of 1412 nodes and 2802 edges (TGF) that I created in Sept 2021 (by hand using yEd) tracing my topics-of-interest up Wikipedia’s knowledge domains attempting to connect everything.

I then asked it to first treat it like a directed graph and find groupings. It suggested algorithms suggested I treat it as UNDIRECTED instead, created Python code AND EXECUTED IT, gave me some clusters using centrality measures. Then I asked it something very unorthodox which was to THEN treat the graph as just a text file and USE the clusters it found as “inspiration” (as documents in latent dirachlet analysis) to gather ALL the words together into TOPICS and it came up with two:

Topic 1: ‘Algebra’, ‘Chirality’, ‘Postmodern theory’, ‘Applied ethics’, ‘Scientific method’
Topic 2: ‘Cosmology’, ‘Design’, ‘Cellular automata’, ‘Deuterostomes’, ‘Publishing’

From there I moved to “claude+” and “claude-instant” for further analysis (because my ChatGPT4 credits ran out until 1:26am and it’s 12:51am) and it happily continued.

claude-instant expanded those lists to:

“A philosophical examination of various approaches to knowledge, truth, and ethics, with a focus on the intersections between mathematics, science, and critical theory” – effectively captures the meta-perspective and critical stance indicated by Topic 1’s keywords.

“A multidisciplinary exploration of life and complex systems, incorporating concepts from physics, biology, and technology, as well as computational and design thinking approaches” -successfully identifies the interdisciplinary and applied nature of the concepts in Topic 2, and their potential applications to studying complex systems and living things.

which I fed into Claude+ and asked to expand on those two topics in several directions which it did:

—-
Here are expanded explanations of the two topics along with simplified versions for children and hypothesized standardized categories:

Topic 1 (expanded): This topic examines epistemological and ethical questions around scientific and mathematical knowledge. It looks at how concepts like objectivity, truth, and reason are understood in different philosophical traditions and how they shape practices in math, science and critical theory. For example, it may compare positivist, interpretivist and critical theory approaches. It likely delves into debates around the value-neutrality of science, the role of power in knowledge production, and the relationship between Western and indigenous knowledge systems.

Simplified (for children): This topic tries to figure out what we know and how we know it. It looks at how scientists, mathematicians and philosophers think about truth and facts. It asks questions like: Is science always objective? Does math describe an objective reality? How do culture and beliefs influence knowledge? It compares different ways of thinking about thinking!

Standardized categories: This could fall under Philosophy of Science, Epistemology, Philosophy of Mathematics, Critical Theory.

Topic 2 (expanded): This interdisciplinary topic explores complex systems in the natural and built world using concepts and tools from physics, biology, engineering and computer science. It likely integrates ideas like emergence, self-organization, networks, feedback loops, and computational modeling. Possible focuses include investigating the origins of life, developing artificial life forms, analyzing ecosystems or social systems, designing adaptive and intelligent technologies, or theorizing a unified framework for understanding complexity.

Simplified (for children): This topic tries to understand living things, the natural world, and new technologies by mixing ideas from many subjects – like science, math, and computing. It explores how simple rules can lead to complexity, how life emerges from non-life, how the world is interconnected, how to build smart machines and life-like simulations with computers. It takes a holistic view of life, nature and technology.

Standardized categories: This could fall under Complex Systems, Bioinformatics, Artificial Life, Adaptive Systems, Networks and Network Theory.

Scope (hypothesis): These topics suggest broad and deep scope for analysis given their philosophical, theoretical and interdisciplinary nature. The first topic in particular implies a sweeping historical and cross-cultural perspective on knowledge and ethics. The second suggests the potential to investigate complexity at multiple scales and through many disciplinary lenses. So there is a vast scope for original insights, syntheses of ideas, and real-world applications.

and finally I asked claude-instant to look at what claude+ produced and it replied with:

Here is a summary and analysis of your expanded explanations of the two topics:

Topic 1 focuses on philosophical and ethical questions regarding scientific and mathematical knowledge, examining concepts like objectivity, reason and truth within different epistemological traditions. The scope of analysis is broad, likely encompassing:

– Comparisons of positivist, interpretivist and critical theory approaches
– Debates on value-neutrality of science and role of power in knowledge production
– Contrasts between Western and indigenous knowledge systems

The simplified explanation for children highlights how the topic explores different ways of thinking about knowledge and truth, while the standardized categories appropriately situate it within philosophy of science, epistemology and philosophy of mathematics domains.

Topic 2 explores complex systems and emergence in natural and artificial worlds using multidisciplinary concepts from fields like physics, biology, computer science and engineering. Potential focuses include:

– Origins of life and artificial life
– Studying ecosystems and social systems as complex systems
– Designing adaptive technologies and intelligence
– Developing unified frameworks for complexity

The simplified explanation for children effectively conveys the interdisciplinary nature and holistic perspective, while the standardized categories correctly encapsulate key relevant areas like complex systems, bioinformatics and adaptive systems.

The hypothesized scope for both topics is insightful, noting their:

– Broad, sweeping perspective encompassing history, culture and disciplines
– Potential for original insights, synthesis of ideas and applications based on analyzing complexity at different scales and through multiple lenses

In summary, your expanded explanations and analyses effectively illuminate the philosophical depth, interdisciplinary breadth and broad scope of inquiry represented by the two hypothesized topics. The use of simplified explanations, standardized categories and emphasized focuses provides a well-rounded conceptualization of their potential spheres of study.

======
and I am pleased.

==============

Topic 1 on philosophical examinations of mathematical and scientific knowledge

Topic 1 Standardized categories: Philosophy of Science, Epistemology, Philosophy of Mathematics, Critical Theory.

Topic 2 on interdisciplinary explorations of complex systems:
Topic 2 Standardized categories: Complex Systems, Bioinformatics, Artificial Life, Adaptive Systems, Networks and Network Theory.

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