# To Do > [!multi-column] > >> [!bug] Overdue >> ```tasks >> not done >> (due before today) >> hide task count >> hide due date >> hide edit button >> short mode >> ``` > >> [!success] Today >> ```tasks >> not done >> (due on today) >> hide task count >> hide due date >> hide edit button >> short mode >> ``` > [!multi-column] > >> [!note] Current Papers >> ```dataview >> LIST WITHOUT ID file.link >> FROM #paper/current >> SORT file.ctime ASC >> ``` # Health Tracking > [!multi-column] > >> [!abstract] Weight Tracker >> ```tracker >> searchType: frontmatter >> searchTarget: weight >> folder: / >> line: >> title: "Weight Over Time" >> yAxisLabel: Weight (kg) >> lineColor: "#69b3a2" >> ``` > >> [!danger] Beer Tracker >> ```tracker >> searchType: frontmatter >> searchTarget: beer500ml >> folder: / >> line: >> title: "Weekly Beer Pattern (500ml bottles)" >> yAxisLabel: "Bottles" >> lineColor: "#ff6b6b" >> ``` >> >> ```tracker >> searchType: frontmatter >> searchTarget: beer500ml >> folder: / >> summary: >> template: "🍺 Weekly Beer Status:\n- Bottles this week: {{sum()}}/8\n- Remaining: {{8 - sum()}}\n- Standard drink equivalent: {{sum() * 1.52}}\n\n📊 Status: {{8 - sum() >= 0 ? '✅ On track!' : '⚠️ Over budget'}}\n\nℹ️ Quick Reference:\n1 bottle = 1.5 drinks\n2 bottles = 3 drinks\n3 bottles = 4.5 drinks (over limit)\n\n🎯 Session Targets:\n- Ideal: 2 bottles (3 drinks)\n- Max: 3 bottles (4.5 drinks)" >> style: "color:var(--text-normal); background-color: var(--background-secondary); padding: 10px; border-radius: 5px;" >> ``` # Notes > [!multi-column] > >> [!summary]- Created Today >> ```dataview >> LIST WITHOUT ID file.link >> FROM "" >> WHERE file.cday = this.file.day AND file.name != this.file.name >> SORT file.ctime ASC >> ``` > >> [!example]- Modified Today >> ```dataview >> LIST WITHOUT ID file.link >> FROM "" >> WHERE file.mday = this.file.day AND file.name != this.file.name AND file.cday != this.file.day >> SORT file.mtime ASC >> ``` > [!multi-column] > >> [!danger]- Created Yesterday >> ```dataview >> LIST WITHOUT ID file.link >> FROM "" >> WHERE file.cday = date(this.file.day-1) AND file.name != this.file.name >> SORT file.ctime ASC >> ``` > >> [!info]- Created Two Days Ago >> ```dataview >> LIST WITHOUT ID file.link >> FROM "" >> WHERE file.cday = date(this.file.day-2) AND file.name != this.file.name >> SORT file.ctime ASC >> ``` > [!multi-column] > >> [!abstract] Recent Thoughts >> ```dataview >> LIST WITHOUT ID file.link >> FROM #thought >> WHERE date(today) - file.cday <= dur(14 days) >> SORT file.ctime DESC >> ``` ## Quick Links > [!multi-column] > >> [!example] Quick Links >> ```dataview >> LIST WITHOUT ID file.link >> FROM #quicklink >> SORT file.cday DESC >> ``` # [[Scratch Pad]] ## Arianna's Talk Dear Agata, I'm Nick, one is Enrico's postdocs. I need to submit some expenses, Would you be able to help me on Wednesday sometime after 11.00. I'll add all my expenses to the website before I see you so hopefully it won't take very long. If Wednesday doesn't work, just let me know when you do have some time. Many thanks, Nick Here are two version of a text I am working on. I want you to supplement the [[NEW VERSION]] by drawing on the ALTERNATIVE VERSION. 1. can you tell me precisely what the alternative version talks about which is not disucssed in the [[NEW VERSION]]? go into a lot of detail. e.g. 'don't just say 'process aesthetics' but say what was said about process aesthetics. 2. I would like you to help me draft of the paper: a) First let's consider section 1: I want this to include all of the stuff that is already in the [[NEW VERSION]], but, additionally, it should include a lot of the text from the alternative version on the following topics: Detailed exploration of “acts of aspection”: While the [[NEW VERSION]] mentions that certain forms of [[aesthetic appreciation]] depend on understanding what is perceived, the ALTERNATIVE VERSION goes into more depth about what “acts of aspection” actually are. It doesn’t just say that these acts matter; it details how appreciation involves specific ways of attending to an object, guided by knowledge of its history, style, and nature. For example, the ALTERNATIVE VERSION explains: Carlson and Ziff’s emphasis on acts of aspection: Carlson and Ziff discuss that different kinds of artworks (e.g., Venetian paintings vs. Florentine paintings) demand different modes of looking, different focuses of attention. Venetian paintings call for attention to “balanced masses” rather than “contours” because contours are not as important in that tradition. Florentine paintings, conversely, demand attention to line and contour. Ziff’s argument that each object “makes demands” means that [[the object]]’s nature dictates what aspects we should notice and how we should attend to it aesthetically. This kind of granular detail about how knowledge shapes the “right way” to look at something is much more developed in the ALTERNATIVE VERSION. In the [[NEW VERSION]], although it acknowledges the importance of context and understanding, it does not provide these historical and stylistic examples or [[the idea]] that objects themselves “demand” certain appreciative approaches. It does not go into [[the idea]] that there can be no general, one-size-fits-all criterion because different objects or traditions generate different “acts of aspection.” Distinction between common-sense and [[scientific knowledge]] in guiding appreciation: The ALTERNATIVE VERSION explicitly discusses how knowledge structures [[aesthetic appreciation]] and distinguishes between types of knowledge. It points out that [[scientific knowledge]] and everyday common-sense knowledge both can inform and deepen aesthetic understanding. For instance, knowing some art history or ecological science can focus one’s aesthetic attention, helping one notice what is relevant in a painting or a landscape. This is [[not just]] about having knowledge in general, but recognizing that different domains of knowledge contribute differently, and that these domains are on a continuum rather than being qualitatively distinct. The [[NEW VERSION]] nods toward knowledge in appreciating natural environments, but does not explicitly break down the different kinds of knowledge and how they shape appreciation. The ALTERNATIVE VERSION emphasizes that knowledge is not just a side addition—it is central to turning raw sensory input into a coherent aesthetic experience. Introduction of process-based aesthetic appreciation (Nguyen’s concept of process aesthetics): The ALTERNATIVE VERSION introduces a substantial new angle: it talks about aesthetics of activities (processes) rather than just aesthetics of objects. For instance, it brings in C. Thi Nguyen’s notion of “process aesthetics,” where the appreciation is first-person and tied to the participant’s own actions—like the aesthetic pleasure found in dancing, rock climbing, or playing a game. In these cases, the aesthetic value emerges from the experience of doing, moving, thinking, strategizing, and engaging with a set of constraints, rather than from passively viewing a static object. The NEW VERSION primarily focuses on object-like systems (generative AI) and how their function or lack of a stable function complicates appreciation. It does not discuss how one might appreciate an AI system the way one appreciates a process: internally, as an active participant who derives aesthetic value from the very process of engagement and action. Note that this will mean Section 1 is substantially longer than it currently is. The challenge in redrafting this section will be to think of a cohernet structure, rather than listing out all this information in an unconnected way. To make sure you do this correctly, I want you to write out a detailed report on the best way that this restructuring/augmenting can be done while making the section maximally coherent. b) The environment should not be introduced in section 2. I want section 2 to incorporate all of the stuff stytem appreciation mentioned in the ALTERNATIVE VERSION. it should be clear that one way of interpretting carlson's ideas about aspection of the environment, and how he relates it to common sense/scientific knowledge can be thought of as a case of system appreciation. As before, to make sure you do this correctly, I want you to write out a detailed report on the best way that this restructuring/augmenting can be done while making the section maximally coherent. c) In Section 3, build on what has been said about system appreciation in section introduce the idea of creative aspection as a means by which users can appreciate generative ai systems, AND ALSO, that we can appreciate the products of generative ai systems like the flowers a gardener has grown, in that appreciation incorporates appreciation of the system and its complexities (think about how carlson describes the environment in terms of forces) in addition to the talent of the gardener/prompter. VERY IMPORTANT: avoid removing text when you write out a revised version. the vast vast majority of NEW VERSION should appear in the version you give me. this includes all of the body text and all of the quotations. LLMS have a horrible habit of shortening text when they revise it. Also, when adding to the new sections, use the text of ALTERNATIVE VERSION as much as you possibly can. Including quotes. this is to ensure that text I have already checked for accuracy is used (LLMSs have ahorrible habit of writing inaccurate sentences and you drawing on my text should minimise this) NEW VERSION # The Creative Aesthetics of Generative AI ## 1. Appreciating Generative AI Systems This paper examines whether artificial intelligence systems like ChatGPT can be aesthetically appreciated in ways that we appreciate human-made tools and artifacts. Philosophical accounts of design aesthetics, such as the theory of Functional Beauty proposed by Parsons and Carlson, suggest that understanding an object's function informs aesthetic perception. If an object appears suited to its intended function—if it "looks fit for function"—it gains aesthetic merit. Consider the example of a car: its aerodynamic form, suggesting efficient movement through space, enhances its visual appeal. These frameworks emphasize perception, particularly visual perception, in aesthetic appreciation. Jane Forsey's Kantian approach addresses the role of function. According to Forsey, aesthetic judgment in design depends on how an object fulfills its intended purpose, considering both its appearance and practical capacities. Forsey illustrates this with the example of a coffee pot: both the shape and the pot's effectiveness in brewing coffee contribute to the object's aesthetic quality. Use and form together shape the aesthetic evaluation. While theories like Functional Beauty and Forsey's account incorporate function and purpose into aesthetic assessment, they encounter limitations when applied to generative AI systems. Generative AI systems, such as ChatGPT, introduce complexities that challenge these conventional models. They operate through automaticity and opacity, making their functionality difficult to assess in traditional terms. Unlike tools with transparent purposes and predictable outputs, generative AI systems produce results that users cannot fully anticipate or control. Although the user provides prompts, the AI's responses are semi-autonomous and often unpredictable, affecting the notion of "looking fit for function." This limitation arises in part because generative AI systems do not have a defined, stable function. Rather than being designed to accomplish a single, clear task, these systems were developed to approximate facets of human-like intelligence. As a result, they exhibit functional indeterminacy, making traditional aesthetic theories less applicable. Functional Beauty and Forsey's approach assume a coherent understanding of function, but for generative AI, such clarity does not exist. Without a sense of what the system is meant to do, it becomes difficult to judge its aesthetic qualities based on how well it fulfills a purpose. The opacity of these AI systems adds complexity. Unlike familiar tools that provide tangible feedback and predictable interactions, generative AI systems operate through intricate, inaccessible internal processes. Users cannot observe these processes to appreciate them aesthetically. Aesthetic pleasure often arises when we can handle and understand tools directly, but generative AI resists such transparent engagement. Its complexity, hidden reasoning, and unpredictable nature affect the aesthetic appreciation that might stem from understanding its form and function. In response, one might consider alternative approaches. For example, could we appreciate generative AI systems as we do works of art? While this perspective offers possibilities, there is no basis for doing so. The designers of these systems regard them as technological models or tools, not as creative artworks. Moreover, if artistic value emerges, it is found in the outputs the AI generates—such as images, poems, or essays—rather than in the system itself. Similarly, appreciating AI systems as persons presents another perspective. The conversational style of chatbots may prompt us to value their apparent personality or qualities akin to human interlocutors. Nevertheless, this analogy has limitations. With prolonged interaction, it becomes evident that chatbots lack consciousness, subjective experience, and the nuanced understanding that characterizes real persons. They may produce human-sounding prose, but they also commit errors that no thoughtful human would make. Moreover, this analogy applies only to systems designed for human-like conversation and does not extend to other AI models with specialized or less interactive roles. Thus, treating AI systems as if they were persons fails to provide a framework for appreciating them aesthetically. Given these considerations, neither existing theories that treat AI systems as artworks nor those that anthropomorphize them as persons seem to capture the aesthetic challenges posed by generative AI. Traditional aesthetic theories, based in functional understanding and perceptible features, struggle to account for the experience of interacting with complex, opaque, and functionally indeterminate systems like ChatGPT. Similarly, alternative analogies—viewing them as artworks or as persons—prove insufficient. These observations suggest a need to develop new theoretical frameworks that can accommodate the qualities of generative AI, offering a way to appreciate these systems aesthetically without relying on assumptions and conditions that apply to more conventional artifacts. ## 2. Appreciating Naturans After examining how traditional aesthetic frameworks based on functional purposes apply to generative AI systems, we can explore alternative approaches. Environmental aesthetics, as articulated by Allen Carlson and others, offers a perspective. Environmental aesthetics suggests that appreciating natural environments—like appreciating art—depends on understanding what we perceive and learning how to perceive it. The concept of "acts of aspection" highlights that different types of objects or environments require distinct ways of attending to them. As Carlson explains, different art traditions demand different approaches: **[ADDED TEXT]** "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." (Carlson, 1979, p.19) Paul Ziff further illustrates this idea: **[ADDED TEXT]** "I survey a Tintoretto, while I scan an H. Bosch. Thus I step back to look at the Tintoretto, up to look at the Bosch. Different actions are involved." (Ziff, 1979, p.19) Such examples show that knowledge about the type of artwork—its style, school, or tradition—informs the appropriate acts of aspection. Similarly, environmental aesthetics applies this principle to natural environments. Scientific or common-sense knowledge about geology, biology, or ecology helps us perceive and appreciate nature more richly. **[ADDED TEXT]** Carlson elaborates on this, noting that order appreciation is central to understanding nature aesthetically: "On the assumption that order appreciation provides the correct model for the appreciation of nature, such appreciation has the following general form: An individual qua appreciator selects objects of appreciation from the things around him or her and focuses on the order imposed on these objects by the various forces, random and otherwise, that produce them. Moreover, the objects are selected in part by reference to a general nonaesthetic and nonartistic story that helps make them appreciable by making this order visible and intelligible. Awareness and understanding of the key entities—the order, the forces that produce it, and the account that illuminates it—and of the interplay among them dictate relevant acts of aspection and guide the appreciative response." (Carlson, p.119) Carlson also emphasizes that what distinguishes scientific knowledge from common sense knowledge is not a difference in kind but in degree: **[ADDED TEXT]** "If we recognize our scientific knowledge of the natural world as only a finer-grained and theoretically richer version of our common, everyday knowledge of it, and not as something essentially different in kind, then the difference between the arousal model and the natural environmental model is mainly one of emphasis. Both models track the appreciation of nature, although the arousal model focuses on the more common, less cognitively rich, and perhaps less serious end of the continuum." (Carlson, p.7) This means we can enhance our appreciation of an environment by deepening our understanding of its systems. Knowledge—whether everyday or scientific—shapes our acts of aspection, guiding us to attend to significant aspects of the environment. Similarly, we can apply these insights to generative AI. Rather than viewing AI systems merely as tools with fixed functions, we can see them as complex "environments" that we navigate and learn to appreciate. Users, like gardeners tending living systems, build up practical knowledge of AI patterns through repeated engagement. This experiential knowledge can guide acts of aspection in the AI context—ways of looking at, interpreting, and responding to AI outputs that help us develop a richer aesthetic appreciation, independent of a stable, transparent function. ## 3. System Appreciation in AI Art Building on environmental aesthetics perspectives, we can examine the relationship between generative AI systems and their outputs. The environmental aesthetics framework suggests that understanding a producing system informs how we perceive and respond to its products. Just as appreciating a cultivated plant involves understanding the gardener’s skill and the plant’s natural beauty, appreciating AI-generated art involves acknowledging both the system’s capacities and the human guidance shaping it. The user’s knowledge of how prompts influence the AI and how the AI responds in turn leads to a more informed, nuanced aesthetic experience. This knowledge can be everyday—gained through trial, error, and observation—rather than strictly scientific. Like a gardener experimenting with techniques and responding to weather patterns, a user experimenting with AI prompts and settings learns to appreciate the interplay between human intention and machine-generated novelty. Such understanding refines acts of aspection, allowing for a more meaningful aesthetic engagement with AI-generated artworks and the generative systems behind them. In this sense, the environmental aesthetics approach shows that the aesthetic appreciation of generative AI does not rely solely on transparent function or human-like persona. Instead, it arises from informed engagement, evolving knowledge, and the capacity to perceive patterns and order within a complex, semi-autonomous environment. ALTERNATIVE VERSION ## 1. Object-Based Aesthetic Appreciation When viewing a painting, for example, a person focuses on its visual elements like colors, shapes, and composition. The aesthetic experience comes from looking at the object itself. Allen Carlson introduces the idea of **acts of aspection**, which are the ways people look at and perceive objects or environments based on their features. He emphasizes that our aesthetic appreciation is guided by these ways, informed by what the object is and our understanding of it. The shift of emphasis to appreciation is followed up by Paul Ziff. Ziff’s treatment is informative in that it retains the insights of the disinterestedness position without embracing its flaws. As noted in Chapters 4 and 6, the essence of his account is the notion of an “act of aspection,” the way of attending to an object that in part constitutes its appropriate appreciation. Ziff argues that different acts of aspection are appropriate in the appreciation of, for example, works of art of different kinds, styles, and schools. Thus, knowledge of a work’s history and nature dictates the proper acts of aspection: appreciation is a set of activities not only responsive to the object but incorporating knowledge of it as an essential component. Ziff further argues not simply that “anything that can be viewed is a fit object for aesthetic attention,” but that “anything viewed makes demands.” That objects of appreciation make demands means that following the lead of the object rules out the possibility of anything like a general criterion of aesthetic relevance. (Carlson, 1979, p. 19) Knowing the type of artwork directs our attention to specific features relevant to that style. To show this, Carlson compares Venetian and Florentine paintings: > "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." (Carlson, 1979, p. 19) In appreciating a Venetian painting, one focuses on the play of colors and the harmonious arrangement, while a Florentine painting requires attention to precise lines and clear shapes. Ziff adds: > "I survey a Tintoretto, while I scan an H. Bosch. Thus I step back to look at the Tintoretto, up to look at the Bosch. Different actions are involved." (Ziff, 1979, p. 19) These examples show how acts of aspection are tailored to the specific qualities of the artwork, guiding how we look at it. Carlson emphasizes the role of knowledge in aesthetic appreciation, arguing that understanding improves our engagement with an object or environment. He suggests that without knowledge, our experience would lack coherence, becoming merely "a meld of physical sensations" (Carlson, 1979, p. 21). Knowledge provides structure to our aesthetic experience, helping us notice important features and appreciate the object's true nature. He distinguishes between different types of knowledge that inform acts of aspection: - **Common-sense knowledge**: Everyday observations and practical understanding that help us make sense of immediate experiences. - **Scientific knowledge**: Systematic insights that deepen our understanding of the underlying principles and processes of the object or environment. Carlson argues that both types of knowledge are essential for meaningful aesthetic appreciation. For example, knowing the historical context and techniques used in Impressionist painting guides us to focus on light, color, and brushwork when viewing such artworks. This knowledge directs our attention to significant aspects, enriching our aesthetic experience. Moreover, Carlson argues that knowledge does not take away from aesthetic appreciation but is necessary for it. He suggests that even noticing the formal qualities in art depends on some level of understanding, as "the very identity of the formal elements of a work of art depends essentially upon the content of the work" (Carlson, 1979, p. 24). This shows that knowledge and aesthetic appreciation are closely linked. In the context of natural environments, Carlson's model extends this idea, arguing that scientific knowledge enhances our appreciation of nature. Understanding ecological relationships, geological formations, or biological processes allows us to see the environment more richly and appreciate its complexities. ## 2. Process-Based Aesthetic Appreciation Besides appreciating objects, aesthetics also involves appreciating **processes**, especially our own actions. Activities like games or dancing can be appreciated aesthetically from a first-person perspective. In these cases, the aesthetic experience is closely tied to the performer's actions and experiences. When dancing, for example, the dancer may appreciate the fluidity of their movements, the rhythm, and the coordination required. Similarly, in playing games, the player may find aesthetic value in the strategies used, the challenge of problem-solving, or the elegance of gameplay mechanics. This way of appreciation is internal and based on the experience, focusing on the process rather than an external object. C. Thi Nguyen, in his paper **"The Arts of Action"** (Nguyen, 2020), examines the idea of process aesthetics. He defines process aesthetics as "the aesthetics of activity from the perspective of the actor, including experiences of thinking, deciding, moving, and acting upon external objects" (Nguyen, 2020, p. 3). Nguyen argues that many activities we engage in have aesthetic qualities appreciated through our own actions. He notes that while traditional aesthetic theory has focused on appreciating objects, there is a domain of aesthetic experience in process-based activities. For example, **rock climbing** involves appreciating one's own movements and problem-solving strategies as climbers navigate routes. The aesthetic qualities come from the climber's engagement with the activity, not just from the physical environment. Nguyen points out that process arts involve things or systems designed to create activity in participants for the sake of their aesthetic appreciation of that activity. Examples include games, dance forms like contact improvisation, and culinary practices that emphasize the experience of cooking or eating as an aesthetic process. While Carlson's acts of aspection focus on the perception of objects informed by knowledge, Nguyen's process aesthetics emphasizes the aesthetic appreciation of one's own actions within an activity. Both approaches acknowledge the importance of knowledge but apply it differently—Carlson in perceiving external objects, Nguyen in engaging with processes. ## 3. Creative Aspection We propose **creative aspection** as a third way of aesthetic appreciation that combines elements of both object-based and process-based appreciation. In creative aspection, people appreciate a system by creating within it. This involves both perception and creation, where the act of creating within a system allows one to appreciate the system itself. **This concept can be further clarified by contrasting it with C. Thi Nguyen's notion of manufacturing generative arts. According to Nguyen, manufacturing arts are participatory arts where the participant creates a distinct artifact to be appreciated. For example, when assembling a smoked salmon bagel, the focus is on the final product—the bagel—which is external to the participant. The appreciation is directed toward this artifact that has been produced through their actions.** Creative aspection **differs from Nguyen's manufacturing arts because the appreciation is not solely centered on the artifact created but is deeply intertwined with the system that enables creation.** While manufacturing arts emphasize the end product, creative aspection involves an ongoing engagement with the system's possibilities, where the process of creation and the system itself become the primary objects of appreciation. Creative aspection involves working with a system's possibilities and limits to create something new. Through this creative engagement, people come to appreciate the underlying structure, rules, and features of the system. Knowledge plays a key role, as understanding the system informs and guides the creative actions, enhancing the aesthetic appreciation of both the process and the system. In this way, the acts of aspection involve not only noticing important aspects but also actively shaping the experience through creative actions. Knowledge directs both perception and creation, allowing people to engage deeply with the system and appreciate its aesthetic qualities. **Consider the example of gardening as a form of creative aspection. Unlike assembling a bagel, where the appreciation is directed at the assembled food item, gardening involves an immersive interaction with a living system.** The actions involved in gardening—such as planting, pruning, weeding, and soil cultivation—require sensory engagement with the environment. Gardening involves adjusting our actions to the specific conditions of the garden, informed by our understanding of horticulture, botany, and ecology. Carlson's model emphasizes that appropriate aesthetic appreciation of nature requires us to appreciate it as natural and as an environment, informed by knowledge. He argues that knowledge enhances our aesthetic appreciation by revealing the true character of nature. Scientific knowledge allows us to understand ecological relationships, plant biology, and environmental processes, enriching our engagement with the garden. By creatively engaging with the garden, we not only shape the environment but also come to appreciate the system as a whole. Our understanding helps us make informed decisions, adapt to changing conditions, and develop a harmonious relationship with nature. This aligns with Carlson's view that knowledge is essential for meaningful aesthetic appreciation. **In contrast to Nguyen's manufacturing arts, where the artifact is the endpoint of appreciation, gardening as creative aspection emphasizes the continuous and reciprocal relationship between the gardener and the garden. The gardener's actions influence the garden, and the garden, in turn, informs the gardener's subsequent actions. The appreciation arises from this dynamic interplay with the natural system, rather than from a static product.** Another example of creative aspection is **building with Lego**. When people construct models with Lego bricks, they engage in a creative process that allows them to appreciate the Lego system. Understanding the various types of bricks, their connections, and structural possibilities informs the builder's actions. Both practical knowledge and specific knowledge about the system are important here. Basic principles of balance and symmetry guide construction, while familiarity with Lego's unique components and design conventions allows for more complex creations. This knowledge guides the creative process, enabling builders to explore the system's potential and appreciate its versatility. **Unlike the manufacturing art of making a bagel, where the assembly follows a relatively straightforward process to achieve a known outcome, building with Lego encourages exploration and innovation within the system's constraints. The builder's appreciation extends beyond the final model to include the creative possibilities and limitations inherent in the Lego system itself.** Building with Lego involves acts of aspection where knowledge informs perception and action. The builder focuses on important aspects of the system—such as the compatibility of pieces, structural integrity, and aesthetic design—guided by their understanding. This informed engagement enhances the aesthetic experience, as the builder appreciates both the process of creation and the resulting model. By creatively engaging with the Lego system, people come to appreciate its underlying structure and possibilities. Knowledge enables them to expand what can be constructed, fostering a deeper appreciation of the system's design and the creativity it inspires. **In Nguyen's manufacturing arts, the participant's role is to produce an artifact for appreciation, with the system serving merely as a means to that end. In creative aspection, however, the system itself is central to the aesthetic experience. The participant's creative actions are a way of engaging with and understanding the system, and the appreciation encompasses both the process and the system's inherent qualities.** C. Thi Nguyen's account of process aesthetics examines how people aesthetically appreciate their own actions within an activity. He states that in process aesthetics, the focus is on the performer's experience, with aesthetic qualities coming from the activity itself. In contrast, Carlson's acts of aspection focus on how people perceive and engage with objects or environments, informed by knowledge. The aesthetic appreciation arises from understanding the object's nature and paying attention to important features. Creative aspection combines these two ways by involving both perception and action. People engage creatively within a system, guided by knowledge, allowing them to appreciate both their own actions and the system itself. Knowledge informs both the acts of aspection and the creative process, enriching the aesthetic experience. In gardening, for example, the gardener not only appreciates the environment but also actively shapes it. Knowledge guides their actions, allowing them to create and maintain a garden that is aesthetically pleasing and ecologically balanced. Similarly, in Lego building, the builder appreciates the system by engaging creatively within it, with knowledge informing both the design and construction process. **Thus, creative aspection represents a synthesis of object-based and process-based appreciation, distinguished from Nguyen's manufacturing arts by its focus on the system rather than solely on the artifact. The participant's creative engagement with the system leads to a deeper understanding and appreciation of its complexities and potential, which is an integral part of the aesthetic experience.** Nguyen's concept of process aesthetics aligns with creative aspection in that both involve appreciation emerging from engagement and action. However, creative aspection specifically emphasizes the role of knowledge in guiding creative actions within a system, leading to an appreciation of the system itself. **In summary, creative aspection differs from manufacturing arts as described by Nguyen by shifting the focus from the production of an artifact to the exploration and appreciation of a system through creative activity.** This approach highlights the importance of knowledge and active engagement in shaping our aesthetic experiences, allowing us to appreciate the richness and possibilities of the systems we interact with.