#computer-rendered artificial pictures

[the-starlight-mistress]

Oh I am so doing this!!

[dancer-through-a-gilded-meadow]

Mosstown

Created on procreate

[jkl-fff]

Remember, these aren't actual AI (because no intelligence is involved, just algorithms), but CRAP (Computer-Rendered Artificial Pictures).

me and my homies support real artists who put their passion into their pieces instead of a machine who rips off the hard work of talented peeps

[yesornopolls]

Petition to rename AI art to Computer Rendered Artificial Pictures (CRAP)

(I stole this from a comment on a Lavendertowne video lmao)

[maddpool]

maybe it's not very good, but still better than any of the C.R.A.P. (computer-rendered artificial pictures) out there 😎

[odiledemonicat]

OMFG Angel Engine is so hypocritical as a concept.

A story of corporate greed destroying nature and driving earth and humanity to the brink of extinction on purpose just to capture and enslave a benevolent angel. Winning the people's praise by performing artificial "miracles" most of which wouldn't be needed in the first place without the destruction already wrought. A vainglorious antichrist figure exploiting a source of seemingly limitless potential to get credit for things he didn't do...

...aaand it's AI slop created with Computer Rendered Artificial Pictures.

Consisting mainly of just sticking together whatever out of context bits and pieces of other people's art and creativity happened to go viral and which the prompter decided would look cool and edgy. With zero actual cohesion actually linking any of it together or helping it make any sense.

And people are eating it up!

Embarrassing.

It's all just. Too. Goddam. Apt! -_-

[spotlightstory]

Yep C.R.A.P.

[mysterycharacterflowers]

A bouquet of plastic lemon balm, thyme, hyacinths and anemone flowers, with a single real orange rose in the middle, wrapped in light blue cellophane

Meaning and why these plants were chosen:

The lemon balm represents sympathy, which is a major theme in the game is how she is showed it by others despite her "unusual" circumstances and disability, and how it ties into her character arc as she connects with others and forms lasting relationships.

Thyme flowers represent courage and strength, representing the pure horrors she had to endure on her journey and how she powered through, despite it all, for the sake of herself and other beings like her.

Hyacinths represent sport, games, and play, relating to not only the circumstances of her existence inside a giant semi-digital mmo, but to her own highly competitive nature, always striving towards challenges and having a smug sense of satisfaction from beating them.

Anemone flowers represent forsaken things, representing the shady and highly unethical circumstances of her creation, as a prototype for a computing discovery that would have massive ramifications for society as a whole, which is unfortunately put to use in torturing for personal information. It also represents the situations she faces, where she is torn from her new friends suddenly and trapped in a scrapped expansion DLC for the mmo she resides in, which has been converted into a place for facilitating the highly unethical experiments.

The plastic qualities of the flowers represent her own artificial nature. The real orange rose alludes to mainly the fact that her virtues (represented by an orange rose, which means desire and enthusiasm) are completely real despite her circumstances as an ai. The orange of the rose is also the hair colour of her best friend, who is "real" unlike her, being a mmo player who formed a bond with her.

The blue cellophane matches her hair colour, and is also an artificial material

Description:

This character is a woman who wakes up one day in a massive, futuristic VR MMO with no memories of her past self, and so must join forces with a programmer to play through the game and recover them. Unfortunately, due to a bug in her player avatar, she's been rendered non-verbal, except for a few choice words hard coded in by the programmer to help her. With his guidance, she must slowly recover her memories, keep her mostly unauthorised existence in the game a secret, and deal with her new situation. All the while in the background, dark secrets and sinister machinations involving the proprietary tech that makes the game possible are coming to a head, and she finds herself wrapped up in the centre of it... and she may just find out something shocking about herself in the process.

Personally, I adore her for her cheeky nature, with a deeply caring side for those dear to her, and how much personality of hers is shown just through her expressions. Despite her lack of words, each bit of dialogue and expression is carefully crafted to show what she's feeling at any given moment, and any opinions she may have, to make a character absolutely overflowing with personality who perfectly bounces off others in any scene. (Some of my personal favourite scenes are the ones where after a certain sidequest, she's told by her programmer friend that she shouldn't be messing around with glitches again, and she makes an "innocent" whistling gesture that tells you she TOTALLY wants to do it again, and the story scene where "Why" is added to her vocabulary and the first thing she does with it is to annoy her programmer friend by repeatedly asking it, with an increasingly smug and satisfied expression as she gets under his skin.)

(I couldn't find plastic versions for all the plants! The pictured were taken from these sites: lemon balm, thyme, anemone and orange rose!)

[the-starlight-mistress]

Wanted to hop on the starter pack train!!

[dancer-through-a-gilded-meadow]

The Final Use of Those Long Dead Gods

Created on procreate

[dancer-through-a-gilded-meadow]

It’s super easy not to use AI and super unethical when you do. Ofc I’m not going to use it. And ofc I’m going to educate my writer friend to make sure they don’t either.

a writing competition i was going to participate in again this year has announced that they now allow AI generated content to be submitted

their reasoning being that "we couldn't ban it even if we wanted to, every writer already uses it anyway"

"Every writer"?

come on

[greenvillerealestateproductions]

Property Listings with HDR Photography

In this day and age of competitive real estate, a strong initial impression is all it takes. Buyers make judgments in a matter of seconds from images, often before they even read a word of a property description. To really engage prospective clients, you need something more than just ordinary photos—you need visual storytelling that communicates quality, emotion, and vision. Two of the most powerful weapons in contemporary real estate marketing are HDR Real Estate Photography and 3D Renderings for New Builds. When done with accuracy, they have the ability to totally redefine how a property is viewed and sold.

That's where individuals such as greenvillerealestateproductions step in—giving real estate agents, developers, and builders the premium images that listings can't be ignored.

What Is HDR Real Estate Photography and Why It Matters

High Dynamic Range (HDR) photography is a method that combines several exposures of the same image to achieve a single perfectly lit, balanced picture. HDR Real Estate Photography picks up a broad range of light and shadow—getting the best out of interior, exterior, and views of the landscape. Basically, HDR Real Estate Photography makes rooms look vivid without being overexposed and darker areas retain texture without being dull.

For example, a sunlit living room and darkened hallway next to it will both look well-lit and inviting in one HDR photograph. This level of realism is particularly important for online property listings where buyers wish to see the property precisely as it looks—but at its best.

Benefits of HDR Real Estate Photography

Each and every nook of a space can be seen, allowing for better understanding of space and design on the part of the buyers. Windows are unobstructed, skies appear realistic, and rooms are neither excessively bright nor dark.

Listings with professional photography attract more clicks, showings, and ultimately, bids. The end image needs less artificial touching up, producing an authentic-to-life image.

If you’re a real estate agent, using HDR photography increases the visual appeal of your listing tenfold, and may help sell properties faster and at higher prices.

3D Renderings for New Builds: Selling the Dream Before It's Real

When you're selling properties that aren't yet in existence physically—development, pre-sales, or custom homes, for instance—3D Renderings for New Builds are your greatest friend. They employ computer software to design photorealistic visuals of a building or area before it's even built. The renderings demonstrate to prospective buyers what the property will be like, complete with fully stocked interiors, landscaped exterior, and sometimes even people interacting within the space.

This is not only a hip visualization tool—it's an incredible marketing tool that engages the buyer's imagination and lets them emotionally connect to something they can't physically walk through yet.

Why 3D Renderings Matter

Buyers feel more secure investing in a home or commercial property they can see—even if it's not yet built. Developers and builders can share several layout choices, colors, and finish designs.

Renders are ready to use in brochures, websites, social media, and presentations—with versatile branding options. Pictures allow architects, builders, investors, and clients to be aligned, avoiding misunderstandings and expensive revisions later.

For developers launching new projects, 3D renderings make your pitch professional, polished, and compelling. With 3D Renderings for New Builds, you’re not just selling square footage—you’re selling a future lifestyle.

Combining HDR Photography and 3D Renderings: A Complete Marketing Strategy

Picture a listing featuring the finished areas displayed with HDR Real Estate Photography and the future additions or remodels highlighted with clean 3D Renderings for New Builds. This synergy provides a seamless, forward-thinking look to your marketing.

Whether it's highlighting a refurbished kitchen or a proposed second-floor addition, leveraging both tools simultaneously instills confidence, increases credibility, and retains shoppers for longer periods. In fact, several progressive real estate agencies have begun incorporating this combination as an added feature in their deluxe package.

How greenvillerealestateproductions Can Help

With decades of experience in visual property marketing, greenvillerealestateproductions is the go-to for making properties come alive—either as they sit or as they lie on drawing boards. Through their mastery of capturing homes using HDR methods and developing immersive 3D visuals, each listing is more likely than not to take center stage in a densely populated online marketplace.

Their team works closely with agents, developers, and owners to produce customized marketing solutions specifically suited for every individual property. Whether it's an intimate neighborhood home or a large luxury estate, the images are always created with skill and ingenuity.

Key Features to Look for in Professional HDR & 3D Services

A professional understands how to control natural and artificial light to capture the ambiance and emphasize space well in HDR photos. For 3D rendering, superior expertise in software such as AutoDesk Revit, SketchUp, or Lumion guarantees your new building images are as realistic as they can be.

You need services with bespoke furniture, color schemes, textures, and landscaping options in renderings to mirror your imagination. In real estate, time is money. Make sure your service provider can provide quality results without excessive waiting times.

Editing can make or break photography and rendering. Find a provider that provides the finishing touches without overdoing it.

In a market where customers are increasingly turning to online forums to inform their decisions, the images you display are your strongest selling tool. HDR Real Estate Photography enables you to showcase current homes in their absolute best form, both literally and metaphorically. 3D Renderings for New Builds, on the other hand, provide a physical pre-view of what is to be, bridging the distance between possibility and actuality.

With services from experts like greenvillerealestateproductions, real estate professionals can elevate their listings, attract more qualified buyers, and close deals faster. If you’re ready to modernize your real estate marketing and captivate your audience with compelling visual content, now is the time.

Whether it's selling a turnkey property or marketing a development project, it's time to make a splash with eye-catching images. Call greenvillerealestateproductions today and see how HDR Real Estate Photography and 3D Renderings for New Builds can make your real estate marketing team shine. Your next sale might start with just one image.

[cm-shorts]

UAPs as Renderings of Leaking Data

One of the most powerful philosophical distinctions ever made is that between phenomenon and noumenon, introduced by Immanuel Kant. The phenomenon is the world as it appears to us—structured in space and time, filled with colors, textures, sounds, and objects. The noumenon, on the other hand, is what exists independently of our perception, but which we can never know directly. It is the origin from which all appearances are derived and rendered into our form of experience.

Today, we have a new metaphor that helps us make sense of this distinction: the idea of a virtual reality game. In such a game, the players experience a rich, immersive world that is generated by a computer using abstract data and code. This world is not real in the physical sense, but it feels entirely real to the players during the game. However, when applying this metaphor to human experience, we must be cautious with the word “virtual.” For what we experience as the world — trees, people, buildings, light, sound, hardness — is not some artificial substitute for reality. It is reality, in the only sense we ever live it. From within consciousness, there is no other world. It is therefore not appropriate to call it virtual in the usual dismissive sense. The metaphor is helpful only insofar as it illustrates how the experienced world might be the result of a rendering process: a transformation from something abstract or pre-experiential into the vivid landscape of life.

Just as a virtual world is computed from hidden digital data, our lived reality may be the rendering of structures that lie beyond our perception — something like Kant’s noumenon. The key idea is that these underlying structures are not material objects existing outside consciousness, but rather information-like patterns or possibilities that become experience only when rendered by a conscious subject. But this rendering is not happening in isolation. Our world is not a single-player simulation—it is more like a collective multiplayer game. Multiple conscious beings receive overlapping data streams from the same deeper reality and render them in a coordinated fashion, allowing for a shared world with consistent structures, common objects, and public events. The harmony and coherence between individual renderings give rise to the experience of an intersubjective world—a reality that appears stable and shared, even though it is assembled individually in each consciousness.

Now consider the case of the UAP phenomenon. Some witnesses report strange flying objects that appear solid, yet defy the laws of physics as we understand them. A common interpretation is that these entities originate from another dimension. But what does “another dimension” mean, if our familiar three - dimensional space is already part of the rendered output of consciousness? In the simulation metaphor, it may be more helpful to say that these UAPs are contents from another part of the computer’s memory — something usually excluded from the data streams we receive.

Each conscious mind, in this picture, normally receives a tailored data stream from the noumenal substrate. This stream is then rendered into the familiar world of space, objects, and events. But what if a different data content — something normally not meant for our game world — were suddenly received? The rendering process would attempt to make sense of the foreign content using the symbolic resources of that particular mind. The result might be a strange and unfamiliar object, interpreted as a flying vehicle, an entity, or a light in the sky. Its appearance would depend on the concepts, expectations, and cultural context of the observer. This could explain why UAPs have changed over time — from airships in the 19th century to sleek metallic craft today.

It also explains how a rendered experience can seem completely physical. If the incoming data is interpreted deeply enough by the rendering process, the result may include not just visual or auditory impressions, but something that feels hard, heavy, even capable of leaving marks on the ground. But this is still part of the rendered experience, not evidence of an objective material object in the noumenal realm. There may also be levels of rendering — some data may be processed as subtle impressions or visions, while other data may result in experiences that appear fully embedded in the physical world.

This model can even account for the fact that two people may have very different experiences of the same event. If the data stream is sent only to one (semi-)individual consciousness, then only that person will see the phenomenon. If two people receive overlapping but different streams, they may render different objects. There is no contradiction in this, because the experience is not a projection from a fixed physical world into multiple heads — it is an interaction process between some individual consciousness and the deeper informational reality.

In this view, UAPs are not necessarily external visitors from far-away galaxies, nor are they from other physical dimensions. They may be genuine experiential intrusions — renderings of foreign data — momentarily intersecting our stream of reality. And it is not unreasonable to consider the possibility that sometimes such intrusions are not random, but intentional: that unusual data streams might be selectively sent to certain individuals in order to disrupt habitual perception, expand conceptual boundaries, or initiate a kind of learning. These ideas have already been explored in depth by thinkers like Tom Campbell, who suggests that reality itself may be part of a consciousness-evolving system, in which strange events serve as meaningful challenges or nudges toward greater awareness.

[monarcksewrrat]

I hope it dies a lot faster than you expect

[nsimdigitalmarketing]

Why Learning AI Tools is Now Essential for Every Digital Marketer

In the fast-paced digital world we find ourselves in today, competing is more essential than ever. One of the largest shifts occurring in the digital marketing space is the rise of artificial intelligence (AI). As you run paid advertising, do SEO, or create content, AI is transforming the way marketers work. That is why studying AI tools for digital marketers is no longer a choice—it is necessary.

In this, we will explore why AI tools are so important for digital marketing , how they are changing digital marketing, and how you can start learning them today, especially with top institutions like NSIM (National School of Internet Marketing) offering industry-relevant training.

What are AI Tools for Digital Marketers? Digital marketer AI tools are computer programs employing machine learning, data analysis, and automation technologies to simplify marketing work and render it more effective. These tools can help with:

Content creation

Email marketing

Social media management

SEO optimization

Customer segmentation

Data analysis

Chatbots and customer service

Some popular examples include ChatGPT, Jasper AI, Grammarly, SEMrush, and HubSpot. These tools save time and improve performance, which is why every digital marketer should understand how to use them.

Why Are AI Tools So Important Now? Here are some key reasons why learning AI tools is now a must for digital marketers:

Time-Saving Automation AI tools have the capability to perform tasks repeatedly like sending emails, data analysis, or social media posting. This leaves the marketer to think about strategy and creativity, not manual tasks. For instance, tools such as Buffer or Hootsuite automatically post social media, freeing up hours weekly.

Improved Decision-Making with Data AI can sift through massive volumes of data quickly and provide correct data that could go unnoticed by human beings. Such marketing platforms as Google Analytics powered by AI have the ability to paint pictures of customer behavior and assist marketers in interpreting their decisions.

Personalized Marketing Consumers today want personalized experiences in store. AI makes it possible by examining customer information and composing tailored messages for every audience segment. As an illustration, email campaign software can use AI to personalize subject lines and content, which is the case with Mailchimp.

Improved SEO AI-powered SEO tools like Surfer SEO, SEMrush, and other Clearscope help digital marketers create content that ranks better on Google search engines. These tools suggest keywords, and even analyze competitors’ content.

Cost Efficiency By improving performance and reducing human error, AI tools help save time and money. Companies that use AI in their digital marketing strategies often see a better result on return on investment (ROI) because campaigns become more accurate and effective.

How AI Tools Are Transforming Different Areas of Digital Marketing Let’s look at how AI tools are changing specific parts of digital marketing:

Content Marketing AI platforms such as ChatGPT or Jasper assist marketers in creating blog posts, video scripts, social media posts, and more. AI is not here to substitute human ingenuity but to assist and accelerate the content generation process.

Email Marketing Tools like ActiveCampaign and Mailchimp use AI to predict the best times to send emails, personalize messages, and increase open rates.

Paid Advertising AI tools help optimize Google Ads and Facebook campaigns by analyzing data and suggesting changes in real-time. They can automatically adjust bids and target the right audiences.

Customer Support AI-powered chatbots, such as Intercom, are able to respond to customer questions immediately and 24/7. This enhances customer satisfaction and saves time for the marketing team.

The Growing Need for AI-Trained Digital Marketers Now employers are hiring digital marketers familiar with AI tools. Being capable of using those tools makes them more valuable both to employers and customers. Irrespective of being a new player or expert, acquiring this ability can upgrade your career heavily.

If you're not sure where to begin, NSIM (National School of Internet Marketing) provides hands-on, practical courses that instruct in the application of contemporary AI tools in digital marketing. Their courses are beginner-friendly, budget-friendly, and designed by industry professionals. This is an excellent chance to future-proof your career.

How to Start Learning AI Tools Getting started with AI tools for digital marketers is easier than you think. Here are a few steps to begin:

Choose the Right Course Enroll in a course that covers both digital marketing basics and AI integration. NSIM is a reliable institute that focuses on practical learning. Their curriculum includes real-world case studies and tool-based learning.

Practice with Free Tools Many AI marketing tools offer free versions or trials. Start using tools like Canva (AI-powered design), Grammarly (content improvement), or Google’s AI features in Ads and Analytics.

Stay Updated AI is always evolving. Follow blogs, attend webinars, and join communities where digital marketers discuss new tools and trends.

Build a Portfolio Start using AI tools on your own projects or freelance gigs. Show potential employers or clients how you used AI to improve results. This builds trust and credibility.

Benefits of Learning AI Tools for Your Career Here’s how learning AI tools can give you an edge:

More Job Opportunities – Companies need skilled digital marketers who can use AI.

Higher Pay – AI-skilled professionals are in demand and can command better salaries.

Improved Performance – Your campaigns are more efficient and data-driven.

Confidence and Innovation – AI aids your concepts and allows you more time to innovate.

Last Thoughts AI isn't just the future—it's the present of digital marketing. Whether you are starting campaigns, producing blogs, or analyzing data, AI tools are changing the game. This is why you need to know AI tools for digital marketers in 2025 and beyond.

If you want to expand your skills and working life, learn now. Reliable institutes such as NSIM (National School of Internet Marketing) provide industry-based courses that ready you for the AI-driven digital era.

Don't delay. Take charge of the future today and become a smarter, better digital marketer.

[yunant]

DES303 Week 4b - Research & Experiment planning

Before I started, I wanted to write a thesis as an extension of the Manifesto I created during my Week 3 Tech Demo. One feedback that stuck out from the critique of the tech demo was my vagueness in the language of describing this technology to people who are unfamiliar with artificial intelligence.

What I wish to focus on isn't specifically for a local community, but more of a local trend being adopted by many communities who are in the younger demographic of New-Zealanders who are tech savvy with prompting and generating.

Here are the research notes extracted from books, articles and websites:

Noting down vital information was only a preliminary stage; it got me a solid knowledge basis, but I had to ensure an extra step to understand what I was working with as a Designer without a background in code or programming. Anything but short of a task. This meant I had to rewrite the notes in my own wording to absorb what was written on the canvases.

Here is the rewritten version of these notes formatted like a mini-essay without an introduction or conclusion:

What are we talking ABOUT?

AI can have a lot of meanings, depending on who you ask. People say AI can only be objectively good or objectively bad, but this is a binary view of the issue of such technology can be framed. Imagine all your most emotionally and mentally taxing work was used without your permission, and someone else could generate revenue using your work without your knowledge or consent (Narayanan & Kapoor, 2024). According to the book AI Snake Oil, this is the argument being presented against the normalization of generated art to make explicitly clear that AI art is the appropriation of creative labor, a technological amusement at the expense of real artists.

What does AI do?

To know what and how this technology works, we must understand its inner components physically and digitally and apply this understanding to audiences who may not be aware. What people refer to as generative AI are comprised of a series of deep-learning algorithms processed by employing sophisticated computer hardware, such as GPUs with substantial computational power. This set of actions led its software to replicate a series of patterns using existing data to assist with their training models. A deep neural network is trained to discover these types of visual concepts based on how the pixels are arranged; its output in pixels is a select set of words.

The more training the neural network learns, the more complex and sophisticated its generated output is - appearing more recognizable and palpable to the eye (Narayanan & Kapoor, 2024). A common assumption is that this technology creates works of AI, but how they are produced is by the memorization of their training data and churning out outputs that are near-identical copies of its source with slight adjustments (Narayanan & Kapoor, 2024).

How does AI art work?

As laid out by the book Supremacy, it's step-by-step process is reliant on the functioning of fast-paced chip-hardware [NVidia for example]. For image generation, the first stage is a disordered canvas with smudges of colors and frantic details. The training model follows this process by inserting values of noise or grain into the data of the canvas, rendering it entirely indiscernible (Olson, 2024). Gradually, this noise effect would be reduced as the details of the generated image would emerge in the frame's early light. As the stages advance, the canvas would transform into a picture by added clarity, not too dissimilar to a painter refining their brush strokes until they have something presentable to the user (Olson, 2024).

How does AI affect society?

Whether AI could endanger humanity or threaten its extinction is not the right question to ask, as agreed by many computer scientists and engineers, at least not for the reasons we think. What we call AI are in fact Large Language Models (LLMs), as it's the more technical term for generative transformers (Hicks et. al., 2024). Simplifying what this model does, Muldoon (2024) orients this function as "...large language models are trained primarily on text data scraped from the Internet". As it's been indicated earlier, LLMs have been used in the medium of mass media, creating information that is virtually indistinguishable from the real ones, deepening a mistrust of truth and misinformation (Olson, 2024).

Is AI real intelligence?

Unsuspecting users believe these [A.I.] fabrications to be created of sentient intelligence systems while in reality, they are word-guesses /autocompletes that replicate authentic human language and imagery. On the question of A.I. tools being truly intelligent or not, Muldoon (2024) determines this matter as "this appearance of general intelligence is merely the result of a sophisticated training program and the sheer size of the datasets and parameters of current models".

Is AI a threat to humanity?

This point coincides with the public anxiety about unregulated AI perpetrating bad will; there is a consensus in the field of experts and academics that it isn't AI being the risk; it is human-enabled ill intent [using A.I.] that is of concern (Narayanan & Kapoor, 2024). This is to show that AI is not evil, not sentient or something anthropomorphic in its existence, but that does not mean it could not be exploited for the wrong reasons. One of the reasons is the unaccounted real human labour that is extracted and used against other people. As Perrigo (2023) highlights via Andrew Strait, "[generative language models] rely on massive supply chains of human labor and scraped data, much of which is unattributed and used without consent".

Why water waste?

Speaking of threats, A.I. does present an imminent concern, and that has to do with the environmental impact of long-term usage (Muldoon, 2024). With the introduction of generative AI, many outlets have raised their concerns about energy consumption. Let's dive into why this technology sparks alarms about waste - and why advocates of environmentalism caution users against indulgent uses of AI. How AI models' functions are funneled through data centers build on cement infrastructure, including servers, storage drives and miscellaneous equipment powered by energy generators, some requiring fossil fuels (Zewe, 2025). A recent MIT article validates that the energy requirement for maintaining the flow of such data centers is the 11th most electricity-demanding consumers in the world and is projected to be the 5th in the year 2026 (Zewe, 2025).

Using the example of ChatGPT searches resulting in gallons of water being used to power and cool, the reason the article raises a concern of excess of energy consumption in the wake of a climate crisis is that a great amount of water is required to regulate temperatures of the hardware that trains the LLM models, putting a surmountable strain on local water supplies and raising concerns of sustainability (Zewe, 2025). As of now, there are no alternate solutions for this cycle of energy depletion and demand or how the tech industry might address the global scarcity if too much water is diverted to power plants or data centres (Gordon, 2024).

Reflection

Once this was finished, I realised the research had taken more time than I had previously expected, so I asked my tutors for feedback to see if I needed to adjust my planning for a more cohesive experiment with a consistent scope of focus. My tutors responded and confirmed that this outline of information covers many areas, so I have to tweak them slightly to fit my own criteria of project experimentation. This was the feedback, and it was used to format my experiment plan and outline for the coming weeks. below is the abridged version for this blog.

What is the focus of your experiment?

I want to focus on investigating the concept of generative Ai and the exploitation of human labour behind the machine, the human emotional taxation of manual labor to perfect the models and algorithms.

What excites you most about this experiment? Learning about the machinations of this technology excites me the most, its relationship with humans as a tool and why we use it or feel inclined to use it. Using this time as an opportunity to immerse myself in the tech world.

What do you hope to discover, learn or refine? I want to use my tools to the best of my knowledge and effectively adapt these insights and findings into a series of graphical designs that demonstrate my explorations. If I may, I want to challenge my own beliefs and assumptions with alternate points of view, even if I don't agree with all of them.

Adapted Statement: I want to explore the adopted normalisation of AI in the creative industry [e.g. Design] through narrative and conceptual design to better understand the hidden appropriation of human labour in generative technology.

What methods or processes will you try?

Graphic Design

Zine Design

digital illustration

Concept Art

Photography

Photoshop/manipulation

How will you structure our experiment?

In this project, I will use the double diamond method as the foundational model for my ideations and iterations. Testing with various techniques and blending them in to create a cohesive output that SHOWS my gathered findings.

How much time will you allocate?

Since I am a procrastinator, i will take as much time as I will need. But I will give myself a 15 hour minimum limit per week to work on this project and to juggle my schedules outside of my studies.

Rough Outline Plan:

Inspiration (week 1-4)- find resources available, learn from anything I can about AI, technology, creative labour, etc. Use a variety of nodes of research so I do not succumb to confirmation bias around AI perspectives (e.g. AI being an instrument of capitalism, etc).

ideation (week 5-6)- conceptualize and formulate my ideas, decide on which one best suits. Find my angle, find my areas of focus. If it's Photoshop, then I could find existing projects for references and guides. Ask for feedback and refine what I want to explore.

iteration (week 7-10) - ask for feedback and adjust based on any criticism or commentary. Suss out what works and what doesn't, and do not be afraid to lean into discomfort. Discuss with my tutors and get their thoughts on my progress.

Implementation (week 11-12) - cycle between feedback, commentary and iteration until I get to a stage where I can move forward.

Objective 1: self education and knowledge To learn about the world of technology, the intersection of creative labour and labour appropriation, and the economic circumstances that enable this exploitative cycle. What makes people drawn to AI? are they aware of how and what is conducted behind the curtains?

Objective 2: Being able to discuss and share this with peers

To study this and communicate my findings in a manner that helps those who are unaware understand what it is, or what AI does outside of the common (mis)perception of sentient intelligence. To just to understand, but to help others understand.

Success criteria:

I define my own success not by victory but in discovery in the most unexpected. other than the educational aspect, I hope I could refine my skills in the Adobe suite, my sketching applications, and maybe a little photography into the mix. If there is even an incremental improvement, regardless of it being knowledge or skill, I would be satisfied. If there is no incremental improvement, I would not find it successful.

Closing thoughts

When I first began planning for the experiment, I believed I had enough time management and allocation for my creative process to cover both issues of AI exploiting human labour AND fuelling infrastructures accumulating vast amounts of natural resources for AI. However, after having a closer look at the feedback, I decided I should focus more on the creative appropriation angle and direct my experimental work in that area.

With all that said, I'm writing this statement out so I am not bound to a single idea or concept. That I shouldn't treat my work as final or be ashamed to admit that something isn't working out as I intended. Should I, at any stage of my progress, come to the blunt conclusion that my execution would no longer suit me in this project, I am free to abandon my idea [given the right guidance and decision-making] and to pursue adapting my findings into a better starting point.

Let's not wait any longer and commence while we still can!

References:

Baxter, C. (2024). AI art: The end of creativity or the start of a new movement? BBC. Article. https://www.bbc.com/future/article/20241018-ai-art-the-end-of-creativity-or-a-new-movement

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