### Conversation about [[environmental aesthetics]] for the AI and the [[Aesthetic Appreciation]] of [[Latent Space]] #llmchat ### Midjourney as a Naturans System: A Comprehensive Analysis of Knowledge and Appreciation in AI Art ## I. Carlson on Knowledge in Art Appreciation Carlson's discussion of knowledge in art appreciation focuses primarily on how [[our understanding]] of artistic traditions and the context of creation informs our ability to appreciate art. He argues that our knowledge of art allows us to identify what constitutes an artwork, its boundaries, and its aesthetically relevant features. > "Works of art are our own creations; it is for this reason that we [[know what]] is and what is not a part of a work, which of its aspects are of aesthetic significance, and how to appreciate them. We have made them for the purpose of [[aesthetic appreciation]]; in order for them to fulfil this purpose this knowledge must be accessible. In making an object we [[know what]] we make and thus its parts and its purpose. Hence in knowing what we make we [[know what]] to do with that which we make." > "In the more general cases the point is clear enough: in creating a painting, we know that what we make is a painting. In knowing this we know that it ends at its frame, that its colors are aesthetically important, but where it hangs is not, and that we are to look at it rather than, say, listen to it." (Chapter 4, p. 41-42) - when we make aiart we know where the edges are but we do not have an agreed upon idea about what we are making. - it can [[look like]] a painting (etc.) though Carlson emphasizes that our knowledge of artistic traditions informs how we engage with specific artworks: > "Generally speaking, a different act of aspection is performed in connection with works belonging to different schools of art, which is why the classification of style is of the essence. Venetian paintings lend themselves to an act of aspection involving attention to balanced masses: contours are of no importance, for they are scarcely to be found. The Florentine school demands attention to contours, the linear style predominates. Look for light in a Claude, for color in a Bonnard, for contoured volume in a Signorelli." (Chapter 4, p. 42) This suggests that art historical knowledge plays a crucial role in guiding our appreciation, informing us of what to look for and how to engage with different types of artworks. ## II. Carlson on Knowledge in [[Nature Appreciation]] In contrast to his treatment of art appreciation, Carlson explicitly distinguishes between two types of knowledge in [[nature appreciation]]: [[common sense]] knowledge and [[scientific knowledge]]. > "What I am suggesting is that [[the question]] of what to aesthetically appreciate in the [[natural environment]] is to be answered in a way analogous to the similar question about art. The difference is that in the case of the natural environment the relevant knowledge is the common-sense/scientific knowledge that we have discovered about the environment in question. This knowledge gives us the appropriate foci of aesthetic significance and the appropriate boundaries of the setting so that our experience becomes one of aesthetic appreciation. If to aesthetically appreciate art we must have knowledge of artistic traditions and styles within those traditions, to aesthetically appreciate nature we must have knowledge of the different environments of nature and of the systems and elements within those environments." (Chapter 4, p. 49-50) Carlson argues that both types of knowledge contribute to our ability to appreciate nature aesthetically: 1. Common sense knowledge: This refers to everyday understanding of natural phenomena and basic ecological awareness. It helps us recognize and categorize natural objects and environments. 2. Scientific knowledge: This deeper understanding of natural processes and ecosystems enhances our appreciation by revealing hidden complexities and relationships within nature. Carlson suggests that these types of knowledge help us determine what to focus on in our appreciation of nature and how to engage with different natural environments. ## III. Common Sense Knowledge in Gardening While Carlson doesn't extensively discuss gardening, he does touch on it as an example of human interaction with nature: > "As 'the gardener [is] a creative agent who is nevertheless thoroughly dependent on the cooperation of natural processes' (Cooper 2009), the prompter is a creative agent who is nevertheless thoroughly dependent on the cooperation of artificial processes." (Chapter 4, p. 50) This quote suggests that gardening involves a blend of human agency and natural processes, implying that both common sense knowledge (intuitive understanding of plant care) and more specialized knowledge (understanding of plant biology and ecology) play a role in successful gardening. ## IV. Midjourney as a Naturans System ### A. Defining Naturans Systems The concept of a "naturans system" comes from the Latin phrase "natura naturans," meaning "nature naturing" or "nature doing what nature does." It refers to the autonomous, generative processes of nature that continually create and shape the world around us. Midjourney, as an AI system, can be considered an artificial naturans system because it exhibits similar generative and autonomous properties, albeit in a digital realm and as a result of human creation rather than natural evolution. ### B. Midjourney's Naturans Properties 1. Generative Autonomy: Like natural systems, Midjourney has the ability to autonomously generate complex outputs. When given a prompt, it produces images without step-by-step human guidance, drawing on its training to create novel visual compositions. 2. Emergent Complexity: The images Midjourney produces often exhibit unexpected details and combinations, similar to the emergent properties found in natural systems. 3. Responsiveness to Input: Just as natural systems respond to environmental factors, Midjourney responds to user prompts, adapting its outputs based on the "environmental" cues it receives. 4. Iterative Development: The process of refining outputs through multiple generations of prompts mirrors the iterative processes of evolution and adaptation in natural systems. ### C. Similarities Between Midjourney and Natural Naturans Systems 1. Unpredictability: Both Midjourney and natural systems produce outputs that are not entirely predictable. A user cannot precisely predict what image Midjourney will generate, just as a gardener cannot predict exactly how a plant will grow. 2. Complexity from Simple Rules: Both systems generate complex outputs from relatively simple underlying rules or patterns. In nature, this might be the genetic code; in Midjourney, it's the training data and algorithms. 3. Adaptive Responses: Both systems can adapt their outputs based on input or environmental factors. Midjourney adjusts its generations based on user prompts, while natural systems adapt to changes in their environment. 4. Potential for Unexpected Beauty: Both Midjourney and natural systems can produce outputs of unexpected aesthetic value, surprising their human observers. ### D. Differences Between Midjourney and Natural Naturans Systems 1. Origin and Complexity: Natural systems have evolved over billions of years and exhibit a level of complexity that far exceeds current AI systems. Midjourney, while complex, is a human creation with a more limited scope. 2. Physical vs. Digital Realm: Natural systems operate in the physical world, while Midjourney exists in a digital space. This affects the types of outputs they can produce and how we interact with them. 3. Speed of Generation: Midjourney can produce outputs much more rapidly than most natural processes, allowing for faster iteration and experimentation. 4. Intentionality: While both systems lack conscious intentionality, Midjourney's outputs are influenced by human-defined goals (generating images from prompts), whereas natural systems have no predefined purpose. ## V. Knowledge and Appreciation in AI Art ### A. Art Historical Knowledge in AI Art Appreciation Art historical knowledge plays a crucial role in appreciating AI-generated art, much as scientific knowledge enhances nature appreciation in Carlson's framework. This knowledge informs our understanding and interpretation of AI art in several ways: 1. Contextualizing AI Art: Understanding the history of art allows us to place AI-generated images within the broader context of artistic development. For example, knowledge of surrealism can enhance appreciation of Midjourney's often dreamlike, unexpected juxtapositions. 2. Recognizing References and Influences: Art historical knowledge helps identify when AI-generated images reference or draw inspiration from specific artists, movements, or styles. This enriches our appreciation by revealing layers of meaning and connection. 3. Appreciating Innovation: Understanding art history allows us to recognize when AI art is breaking new ground or offering novel approaches to artistic problems. 4. Informing Critique: Art historical knowledge provides a framework for critically evaluating AI-generated art, allowing for meaningful comparisons with human-created art and assessment of aesthetic value. ### B. Technical Knowledge in AI Art Appreciation Technical knowledge of AI systems serves a role similar to scientific knowledge in nature appreciation: 1. Understanding Generative Processes: Knowledge of how AI models work enhances appreciation of the complex processes behind image generation. 2. Recognizing System Capabilities and Limitations: Understanding what AI can and cannot do informs our interpretation of the images it produces. 3. Appreciating Emergent Properties: Technical knowledge helps us recognize and appreciate unexpected or emergent properties in AI-generated images. 4. Informing Ethical Considerations: Understanding AI technology is crucial for engaging with ethical questions surrounding AI art creation and appreciation. ### C. Developing "Common Sense" Knowledge in AI Art As users interact with systems like Midjourney, they develop a form of "common sense" knowledge specific to AI art: 1. Prompt Engineering: Users learn intuitively how to craft prompts that produce desired results, similar to how gardeners develop an intuitive sense of plant care. 2. Recognizing AI Aesthetics: Regular engagement with AI art allows users to recognize characteristic features of AI-generated images. 3. Understanding Iteration: Users develop an intuitive grasp of how to refine outputs through iterative prompting. This "common sense" knowledge, like Carlson's common sense knowledge of nature, informs how users engage with and appreciate AI-generated art. ## VI. Implications for AI Art Appreciation The recognition of Midjourney as a naturans system, combined with the various types of knowledge involved in its appreciation, has several implications: 1. New Frameworks Needed: Traditional frameworks for art appreciation may need to be expanded or revised to fully account for the unique aspects of AI art. 2. Collaborative Creativity: Appreciation of AI art involves recognizing the collaborative nature of its creation, balancing human input with AI generation. 3. Ethical Considerations: Treating AI as a naturans system raises ethical questions about authorship, creativity, and the value we assign to AI-generated outputs. 4. Evolving Appreciation: As AI technology develops, our modes of appreciation will likely need to evolve, requiring ongoing development of new knowledge and appreciation frameworks. In conclusion, appreciating AI-generated art like that produced by Midjourney requires a complex interplay of art historical knowledge, technical understanding, and intuitive "common sense" developed through interaction. By recognizing Midjour