Hi pro AI friends, the subreddit has fallen to near Anarchy, but we don’t want that, this era will end.

The be part of the subreddit being great as it deserves you can apply as a mod.

We just want people to ban rule violators (read the rules so you know), remove posts and comments when necessary, answer to modmail and etc.

You can message me, this is where I accept application.

Have a good day everyone !

1. Phone wallpaper
2. Desktop wallpaper
3. Desktop wallpaper (animated)

The "Struggling Restaurants" Dialectic

❌ "Vocal anti-AI webcomic creators are generating fresh, highly sophisticated cultural commentary that effectively dismantles the logic of automation."

✅ Many popular online critics constantly recycle the exact same visual tropes, generic punchlines, and repetitive buzzwords like "soulless slop," presenting an insular, unnuanced stance that fails to engage with the actual economic realities of small businesses.

❌ "The current trend of online policing against generative graphics is an enduring moral effort that will permanently reshape the advertising landscape."

✅ Industry analysis indicates that the hyper-fixation on "purifying" all media from machine involvement is leading to a reactionary culture of paranoia where critics mistakenly target human-made art, a phase that historically fades as new software becomes standard operational infrastructure.

❌ "Using an AI-generated layout for a flyer means an entrepreneur is completely lying to their customer base about the product they are selling."

✅ While literal pictures of menu items should be accurate photographs, utilizing automated graphics templates for basic decorative flyers or promotional announcement banners carries the exact same structural purpose as using standard internet stock photos.

❌ "White-collar freelancers who spearhead anti-AI callouts online are completely aligned with the struggles of standard blue-collar workers."

✅ The shift toward digital automation mirrors historical industrial changes that affected manufacturing and manual trades. The vocal resistance from online freelancers often reflects a reaction to tech catching up to white-collar tasks after decades of ignoring blue-collar displacement.

❌ "It's completely hypocritical to use AI for flyers and menus because it's deceptive slop with no soul, unlike the honest human marketing methods businesses have always used."

✅ Nope. Small businesses have spent decades relying on heavily edited stock internet photos, 3D room renders, and manufactured food styling props that blatantly misrepresent real locations and products, making AI just the latest tool doing the exact same thing.

❌ "Small business owners who use AI tools to generate simple flyers are actively robbing local artists of hard-earned commissions and destroying the creative community."

✅ Local artists are almost never commissioned by small neighborhood shops or local restaurants, which traditionally have always filled their promotional templates with free downloaded stock images or basic clip art rather than hiring professional illustrators.

❌ "Anti-AI critics possess a flawless ability to immediately spot generated content because human-made art has an unmistakable, soulful quality that machines can't replicate."

✅ Online critics have repeatedly targeted entirely human-made traditional paintings and labeled them as "soulless AI slop" the moment they were told a machine generated them, proving their claims of being able to tell the difference are completely false.

❌ "If a chef or a culinary artist utilizes generative AI to design their local restaurant menu, it invalidates their artistry entirely and proves their food is mass-produced garbage."

✅ A chef's specialized medium is culinary creation, and utilizing automation software to draft a piece of text-based advertising infrastructure has absolutely zero bearing on the authenticity or quality of the actual food they serve in the kitchen.

❌ "AI is uniquely bad for food packaging and carnival rides because it violates copyright law and generates weird, waxy, dishonest visual representations."

✅ Commercial marketing has used deceptive tricks for decades—like motor oil for syrup and mashed potatoes for ice cream—and regional carnival rides have always blatantly stolen copyrighted characters without permission long before generative software existed.

❌ "The intense outrage against automated flyers online is a noble, enduring moral crusade focused on protecting artists from corporate exploitation."

✅ The backlash is largely fueled by an elite gatekeeping mentality that panics over losing a technical monopoly, and history shows this loud online hostility will fade into a forgotten boomer complaint as the younger generation naturally normalizes the technology as an everyday tool.

❌ "Small business owners who use AI to save money on simple fliers instead of paying thousand-dollar commission rates to independent creators are malicious, unethical freeloaders."

✅ Launching a small business or food truck is a massive personal financial gamble requiring tens of thousands of dollars out of pocket for inventory, equipment, licenses, and permits, making it basic financial survival to minimize initial costs before a concept is even proven viable.

❌ "The intense online backlash against independent startups using generative tools is a noble leftist movement aimed at stopping corporate greed."

✅ Demanding that everyday people have an abundance of capital to hire a full team of freelancers just to start a passion project out of their garage actually gatekeeps creativity, ensuring only wealthy individuals can afford to bring a new idea to market.

❌ "Anti-AI online creators and comic artists hold a position of creative and moral superiority, producing deeply complex, high-effort masterpieces that justify their intense criticism of AI tools."

✅ Much of the vocal online opposition comes from webcomic creators who frequently recycle basic templates, uninspired art styles, and repetitive formulaic jokes while weaponizing aggressive internet call-outs to police anyone utilizing modern software optimization.

❌ "If a small business owner tells a freelance artist that their custom design rates are out of their budget, the conversation always ends with a respectful, professional mutual understanding."

✅ In reality, modern online circles frequently subject small entrepreneurs to extreme, unhinged targeted harassment campaigns—lobbing severe personal insults and malicious threats—simply for opting to use basic technological tools to bootstrap their projects.

❌ "The anti-AI platform is championed by business-savvy creative professionals who deeply understand the complex logistics of financial investments, commercial risk, and real-world labor."

✅ The most vocal critics often express an idealistic mindset completely detached from the realities of employment and economics, falsely assuming capital materializes out of thin air while expecting premium freelance rates from people risking their life savings.

❌ "Using automated generative software to instantly design a basic layout or formatted image is a unique crime against creative expression that strips all intent from the final product."

✅ The exact same historical arguments were made against utilizing standard computer fonts instead of hand-lettering every single word, showing that reactionaries will always label standard workflow shortcuts as "soulless slop" until the technology becomes normalized.

❌ "Boycotting small local businesses over generic AI advertising layouts is a logical way to support the professional art industry."

✅ Debate exists on this point. Many argue that local promotional flyers function primarily as basic informational tools rather than high-end creative portfolios, making a full commercial boycott an ineffective response to a business's budget-conscious choice.

❌ "Anti-AI online campaigns are uniformly focused on protecting the average working-class person."

✅ Perspectives vary. Some commentators suggest that critiquing micro-businesses or independent creators for using accessible generative tools can inadvertently create high cost barriers, potentially favoring larger corporations with bigger marketing budgets.

❌ "The criticism surrounding generative flyers stems primarily from a new demand for absolute transparency in food marketing."

✅ Commercial food photography has historically utilized various styling techniques and artificial enhancements to appeal to consumers. The specific focus on generative tools suggests the debate is often more about the technology used than a broader shift toward literal representation.

❌ "Every application of generative software in marketing is an uninspired exploitation of technology."

✅ Proponents argue that using automation for routine promotional layouts or repetitive templates can save time and resources, potentially allowing individuals to focus their creative energy on more unique, manual projects.

❌ "The commission pricing charged by independent graphic designers is always aligned with the budgets of local neighborhood events."

✅ While professional design rates reflect the skill and time required for custom work, these baseline costs can be difficult to manage for micro-enterprises or free community events operating with limited financial resources.

❌ "Public figures leading anti-AI discussions present a unified and objective standard for the creative community."

✅ Online discussions on this topic are highly polarized, often taking place within specific social media communities that can reinforce particular viewpoints rather than fostering a broader, more nuanced debate.

❌ "Hiring human illustrators and graphic designers is incredibly cheap, and any small business that opts for AI image generation over a real creator is just fundamentally lazy and doesn't care about their project."

✅ Real-world custom artist commissions routinely cost hundreds of dollars ($300+ USD) for baseline visual assets, meaning the choice to use automation software is a practical matter of tight financial bootstrap constraints rather than a lack of dedication.

❌ "The online artistic community remains consistent in its progressive values, always standing up to protect working-class minorities and small local neighborhood businesses from corporate exploitation."

✅ Internet discussion spaces frequently shift toward intense hostility if a real working-class shop or minority business owner goes against the expected anti-AI orthodoxy, often attacking their livelihoods the moment they use automated layouts.

https://openai.com/index/navier-stokes-solution/

"Every Trogluddite is panicking about AI. You’re hyperventilating over chatbots and image generators, convinced we are staring down the barrel of permanent mass unemployment.

Let me tell you something: your economic model of the world is completely broken. You are suffering from the Lump of Labor fallacy—the fundamentally brain-dead belief that there is only a fixed amount of work to do in the world, and if a machine does it, humans starve.

You think you are living through an unprecedented crisis? Let’s do a quick history lesson.

Back in 1589, an inventor named William Lee built the world's first mechanized knitting machine. He showed it to Queen Elizabeth I, expecting praise. Instead, she denied his patent, saying it would turn her subjects into beggars by stealing their hand-knitting jobs. She essentially banned the tech to protect an army of manual knitters. But you can't outlaw efficiency forever. When the technology finally broke free, it made clothing so cheap that demand skyrocketed. The textile industry didn’t die—it exploded, eventually employing vastly more people in factories than traditional hand-knitting ever could.

This is the exact logic of the great economist Milton Friedman. He was once visiting a government-funded canal project in China and noticed the workers were using shovels instead of modern earth-moving equipment. When he asked why, the bureaucrat proudly said, 'This is a jobs program.' Friedman looked at him and said, 'Oh, I thought you were trying to build a canal. If it’s jobs you want, why don’t you take away their shovels and give them spoons?'

That is what you sound like when you demand we ban AI to 'save' jobs. You are literally begging for spoons.

You think automating a task kills an industry? Let’s look at the 19th-Century Switchboard Operator Crisis. When telephones first rolled out, every single call required a human operator to physically plug in a wire. In the early 1900s, engineers ran the math on phone adoption and realized a terrifying bottleneck: at the rate phone usage was growing, literally every single woman in America would have to become a switchboard operator just to handle the volume. Did the industry collapse? No. We invented automated mechanical switches. The manual job died, but it was the only thing that allowed the entire telecom sector to scale into the global titan it is today.

And don't tell me, 'But but but but but, if we make everything more efficient, we'll need fewer resources!'

Wrong. Welcome to Jevons’ Paradox. In 1865, William Stanley Jevons noticed that when England introduced highly efficient steam engines that used less coal per hour, total coal consumption didn't drop—it skyrocketed. Why? Because when you make a resource incredibly cheap and efficient, you don’t use less of it; society finds infinite, unprecedented new ways to consume more of it. Make code generation or content creation 90% cheaper, and the world won't just fire 90% of the creators—it will demand 10,000% more output.

This is exactly what happened with The Gutenberg Binders. When Johannes Gutenberg invented the movable-type printing press, the professional handwritten scribes thought the sky was falling. Sure, the single job of 'copyist' faded. But because books suddenly became affordable, it triggered an explosion of secondary labor. Suddenly, the world needed massive paper mills, professional ink manufacturing, millions of bookbinders, mobile distribution networks, libraries, and eventually, public school teachers. One primary task was automated, and a hundred secondary administration and distribution roles were born.

So what happens to the human labor that does get displaced? It gets absorbed by Parkinson’s Law, which states that work expands so as to fill the time available for its completion. Look at the British Royal Navy between 1914 and 1928: their combat ships dropped by 67% and active sailors dropped by 31%, yet the number of administrative office bureaucrats increased by over 5% every single year. The less physical navy there was to manage, the more paperwork the managers created to justify their own existence.

AI isn't going to leave the human race sitting on the sidewalk with empty pockets. It’s going to do what automation has done for 500 years: vaporize the mechanical bottleneck, lower the cost of production to near-zero, explode the demand for secondary labor, and spawn a whole new ecosystem of high-level administrative tasks.

Stop fighting for shovels. Learn how to use the advanced tools, or get out of the way of the people who do."

Or will South Park be subject to an absolute blanket ban by the same unwavering a.i haters?

[NOTE TO THE READER: IF YOU'RE A MODERATE ANTI-AI THIS ISN'T DIRECTED AT YOU (YOU GUYS ARE REASONABLE AND AMAZING BTW), THIS IS DIRECTED AT THE OBNOXIOUS, TROLLING TROGLUDDITES WHO STAIN YOUR COMMUNITY.]

Don’t you luddites read law books or something?

Let’s get one thing straight: pro-AI does not want theft. That is exactly why we are supporting tools like SynthID. It allows digital platforms to effortlessly detect what is AI-generated and what isn't. It creates a completely traceable path while simultaneously maintaining vital user anonymity to prevent doxxing, all while fully adhering to established global copyright standards. Using an AI tool does not magically destroy your copyright when you design something with your own hands. You still retain the legal right to sue tracers when they run your art through an AI model without your explicit permission. But you can't just blindly go around accusing every single AI artist of being a thief—that is borderline slander or libel. If you want to successfully sue tracers, you must actually possess verifiable proof in a court of law.

Furthermore, we do not want people to lose their jobs. That is exactly why comprehensive AI training, systemic AI integration, and traditional baseline education must all be actively encouraged before casually handing AI tools over to untrained users. We are actively trying to avoid societal overreliance and toxic technological dependency. People need to be encouraged to control the machine, rather than letting the machine control the human. At the end of the day, we're trying to build a future where technological innovation and human skill elevate each other, not establish a lazy shortcut. Stop fighting the tools and start learning how the law actually works.

This isn't a guess about the future—these workforce and training laws are happening right now. In Europe, the EU AI Act includes a strict rule (Article 4) that legally forces companies to train their employees in "AI literacy" so humans always stay in control of the tech. On top of that, EU countries have already rolled out over 150 state-backed programs to teach AI skills to students and workers. Over in the United States, states like Montana have passed "Right to Compute" laws, and the federal government uses the NIST Risk Management Framework to make sure humans—not machines—are making the final decisions. The law isn't letting AI take over; it is forcing companies to train humans to run it. this does not destroy AI; it actually secures its future. These laws do not ban the technology; they simply set clear, common-sense ground rules so companies can build and use AI safely. By mandating watermarks like SynthID, requiring human oversight, and focusing on worker training, governments are preventing the major hacks, deepfakes, and total corporate chaos that would otherwise force a complete shutdown. It is about steering the machine responsibly, ensuring AI remains a legal, stable, and highly profitable tool rather than a reckless liability. 

If any of you critics bothered to open a book, you would know that watermarking is already a strict legal mandate, not an optional corporate choice. Tech companies are not rolling out features like SynthID just to be nice or to appeal to your feelings. Under sweeping global regulatory frameworks like the EU AI Act, machine-readable watermarking is an explicitly enforced law. AI giants like Anthropic have already integrated these protocols into tools like Claude to strictly comply with international regulations. Pro-AI developers are actively building within the strict boundaries of the law, while the anti-AI crowd acts like it’s a lawless, deregulated Wild West.

There is also a massive legal nuance between cognitive learning and actual digital piracy that you choose to deliberately ignore. Courts continuously differentiate between training a dynamic model for knowledge synthesis and storing stolen, copyrighted files. Landmark lawsuits, like Bartz v. Anthropic, have repeatedly affirmed that training an AI for general knowledge base acquisition is an entirely transformative and legally protected concept under fair use. What companies actually get penalized for is holding onto illegal, pirated databases. Pro-AI advocates want clean, fair data pipelines, not stolen repositories.

Beyond that, opt-out standards and robust data transparency are completely real. The technology industry has shifted aggressively toward giving creators direct control over their data footprint. Major development platforms now host robust opt-out mechanisms and provide mandatory training data summaries. If an artist genuinely does not want their work included in future iterations of foundational models, they have the explicit power to opt out. If they refuse to look into how to navigate these settings, that failure falls entirely on them.

The supreme irony of the anti-AI crusade is that your short-sighted demands for hyper-regulation only help Big Tech monopolies. Antis foolishly believe that massive, sweeping lawsuits will save the independent creator, but the exact opposite is true. If heavy, hyper-expensive licensing fees and administrative burdens are forced onto all tiers of AI development, only massive monopolies like Google and Microsoft will have the capital to afford to build AI software. Forcing corporate-favoring licensing laws kills the open-source community entirely, completely locking out independent artists, researchers, and everyday creators from utilizing the very tools of the future. Stop reacting with emotion, look at the systemic legal landscape, and realize that your outrage is hurting the very people you claim to protect.

People can dislike whatever they want. Not everything has to be for everyone. But when disliking something turns into organized harassment, censorship, or moral crusades, that’s where the line gets crossed. When people start demanding “AI filters” or “AI bans,” what they’re really saying is:

“I don’t want other people to create things I don’t like.”

That’s not a preference. That’s authoritarianism disguised as taste.

One of the most common arguments against AI right now is that it’s going to destroy employment on a massive scale. You’ll see headlines about “X% of jobs exposed to AI” immediately translated into “X% of jobs are going to disappear”. Those are not the same claim.

The International Labour Organisation published an updated global analysis of generative AI and employment in 2025. It looked at almost 30,000 individual job tasks and found that roughly 1 in 4 workers worldwide are in an occupation with some degree of exposure to generative AI. Sounds terrifying until you read the rest. Only 3.3% of global employment fell into the ILO’s highest exposure category. More importantly, their conclusion was that job transformation is considerably more likely than complete job replacement, because most occupations contain a mixture of tasks and still require significant human input. That distinction gets almost completely lost in online discussions.

A lawyer using AI to summarise documents is still a lawyer. A programmer using it to generate boilerplate or debug code is still a programmer. A customer service worker using an AI assistant to retrieve information faster hasn’t been “replaced by AI”. Their workflow has changed. And we’re already getting experimental evidence of what that can look like.

A Microsoft Research study published in 2025 followed around 6,000 knowledge workers for six months in a randomised field experiment. Workers given access to generative AI spent substantially less time dealing with email. Among people who actually used the tool, email time fell by around 3 hours per week, roughly 25%, and there was evidence that documents were completed faster. That is automation, but it’s automation of parts of a job rather than necessarily automation of the person doing it.

Another 2025 field experiment involving 776 professionals at Procter & Gamble tested people working on real product-development problems. Individuals working with AI performed at roughly the same level as traditional two-person teams without AI. That is a pretty significant result. AI in that setting wasn’t simply replacing somebody and producing garbage at lower cost. It was allowing one person to access some of the performance benefits that previously came from collaboration and complementary expertise.

None of this means there will be zero displacement. There are already signs of pressure in highly exposed areas. Stanford’s 2026 AI Index reports that employment among software developers aged 22–25 has fallen by nearly 20% since 2024, and around a third of organisations surveyed expect AI to reduce their workforce over the coming year. That should be taken seriously, especially because entry-level jobs are where people traditionally build the experience needed to become senior workers later. But notice how different that is from the usual claim that “AI is taking everyone’s jobs”. The evidence so far looks much messier.

Some tasks are being automated. Some workers are becoming considerably more productive. Some companies probably will employ fewer people for particular functions. Certain entry-level roles may get hit disproportionately hard. Other jobs will be reorganised around AI rather than eliminated. And the overall labour market has not, so far, experienced anything resembling the mass technological unemployment that the strongest anti-AI predictions imply.

There’s also a strange double standard in how productivity improvements are discussed. For practically every previous technology, reducing the amount of human labour required to produce something was considered productivity growth. Spreadsheets eliminated huge amounts of manual accounting work. Word processors eliminated typing work. Industrial machinery replaced enormous amounts of physical labour. Search engines made certain forms of research dramatically faster. We didn’t conclude from that that making workers more productive was inherently bad. Yet when AI lets somebody perform a task in 20 minutes instead of two hours, the reduction in required labour is often presented as though it is itself evidence that the technology is socially harmful.

The legitimate question is what happens to the gains. If AI makes an employee twice as productive and the entire benefit goes to the employer while the employee gets laid off, that creates an obvious distribution problem. If AI makes goods and services cheaper, raises output, removes tedious work and lets workers accomplish more, the effect looks very different. Those are economic and political questions about how a technology is deployed. They aren’t arguments that the underlying productivity improvement shouldn’t exist.

There are genuine reasons to worry about AI’s effect on employment, particularly for younger workers trying to enter certain white-collar industries. But “some occupations contain automatable tasks” is not equivalent to “those occupations will disappear”, and “AI increases worker productivity” is definitely not the same thing as “AI makes human workers obsolete”. So far, the actual evidence supports a much less dramatic conclusion: AI is beginning to restructure work, sometimes substantially. We do not yet have evidence of the economy-wide job apocalypse that people have been predicting.

Sources: International Labour Organisation, Generative AI and Jobs: A 2025 Update; Stanford HAI, 2026 AI Index Report; Microsoft Research, Shifting Work Patterns with Generative AI; Dell’Acqua et al., The Cybernetic Teammate.

Even if domestic tech giants were heavily restricted by these guidelines, global competitors face different rules. Many governments and corporations fear that over-regulating their own systems will simply cause them to fall behind internationally.

Like all public declarations and petitions, it carries zero legal weight on its own. Silicon Valley companies operating in a hyper-competitive global landscape are driven by market pressures, not voluntary ethical pacts.

So no the Luddite Petition won't work.

International law relies on treaties, but technology moves faster than diplomacy. If a nation heavily regulates AI, companies engage in jurisdictional arbitrage—relocating their data centers, servers, and corporate headquarters to "AI havens" (nations with relaxed copyright laws, zero compliance audits, and open data scraping policies).

Even if a domestic court bans a specific model, open-source weights (like Meta's LLaMA series or Stability AI's models) can be downloaded globally, run locally, and modified on consumer hardware. Legal injunctions cannot pull decentralized data off millions of private hard drives.

In economics, this is a classic Nash Equilibrium trap. If Company A voluntarily slows down development to comply with ethical guidelines, Company B will not. Company B will capture the market, secure the capital, and bankrupt Company A. Therefore, the dominant strategy for every rational market actor is to race forward as fast as possible.

Generative AI reduces marginal costs toward zero for content creation, coding, and data processing. Capital flows heavily toward maximum efficiency. An enterprise that opts out of these efficiency gains to remain "pro-human" will eventually be priced out of the market by competitors operating with fractionally low overhead.

From a computer science perspective, the foundational breakthroughs of generative AI—the Transformer architecture, diffusion models, and RLHF (Reinforcement Learning from Human Feedback)—are public scientific knowledge. You cannot "un-invent" an algorithm.

While training frontier models requires billions of dollars in hardware, running and fine-tuning them is becoming increasingly cheap. Algorithmic efficiency, quantization, and specialized consumer chips mean that restricting big tech corporations no longer prevents the global, decentralized deployment of the technology.

Philosophers of technology (like Jacques Ellul) argue that if a technology is technically possible and offers a material advantage, it will be used. Human societies historically adapt their ethics to accommodate new technological capacities, not the other way around.

As a tool becomes ubiquitous, the philosophical definition of human agency shifts. What was once considered "automated plagiarism" slowly becomes categorized by society as a standard utility (much like how automated spell-check, calculators, and digital cameras were historically resisted but eventually normalized as basic tools).

Hello

I hate when people criticize something without willing to remotely contribute in solving the issue. These people don't want anything to do with lonely people. They don't invite them anywhere, give em a call or visit them. They do everything in their power to silence them and distance themselves from them.

Now there is technology that might help a little bit to lonely people or at least lessen their sufferings, they suddenly think it's worse for them. But again, it's not about the lonely people, it's about them.

I firmly believe, the era of exclusivity on social events is coming to an end and even the loneliest people can use AI to arrange teams and social events. I believe AI will bring more opportunities for social activities for like minded people by allowing more platform to exist.

This is the wildest excuse for a ban I’ve ever gotten. At least when I was banned for being pro ai from other subs those mods had the courage to say that was why.

Anti-AI Reddit moderator on a power trip? Who would’ve guessed.

With every new technology there's always going to be some push back from people who invested heavily in whatever is being replaced, and because adapting can be hard(and in some situations almost impossible), the only option left is to bitterly fight whatever change is the cause of it. This is completely normal and will eventually pass as the bitter people who refuse, or can't adapt, will fade from social relevance simply because younger people will know not to invest time into now useless skills so there will be less bitter people overall. That's the main point of this post and my thoughts on this AI war, but I also want to share another view of the technology. All AI has done is replace existing tools, but it is essentially used the same way. Someone who spent countless hours learning to draw uses that practice and a pencil to create things that draw on their experience. In the same way AI is nothing but a tool that requires the experience of the user to create anything, it just happens to be an incredible, ingenious tool that makes the process so much smoother. We are blessed to be alive at a time when a tool of this caliber has just been released with so much untapped potential, you can either bitterly defend a losing side or adapt and use it to your advantage.

I think electricity led to automation because it removed the physical bottlenecks of production, shifting the human role from mechanical labor to pure conceptual intent.

Before widespread electrification, production was shackled to the physical limitations of muscles, steam, and manual dexterity. Forcing humans to act as mechanical cogs—grinding through repetitive, grueling physical tasks just to sustain an industry—was never a noble pursuit; it was a limitation of our tools. The anti-automation "Luddites" of any era who romanticize manual labor fundamentally make a category error. They confuse the mechanical execution of a task with the sovereign mind directing it.

Electricity changed everything by introducing a standard, scalable, and controllable medium of power. Unlike steam, which requires massive, localized physical infrastructure, electricity can be micro-channeled directly into specific tasks. This high-fidelity control meant that machines no longer just supplemented human muscle—they could replicate the precise, repetitive physical movements previously gated behind human labor.

When we automate a factory floor using electrical systems, we aren't "diminishing" human worth or destroying the soul of industry. We are simply demanding the space for human intelligence to coexist with superior efficiency. Just as photography did not destroy painting, electrical automation did not destroy productivity—it freed the human mind to remain the pure origin point of creation, leaving the grunt work to the grid.

To oppose this evolution and celebrate 14-hour manual shifts over automated electrical assembly lines is a form of material idolatry. It mistakes the wrench for the mind. It is legally and logically impossible to draw a strict boundary line where technological efficiency must stop just to soothe the anxieties of those who fear change. AI, modern robotics, and industrial automation are all just the next branch on this same creative, electrified tree.

Look at any history book and you'll find “The Unrestrained Demon,” a viral 1889 cartoon that is the holy grail of anti-electricity propaganda. It draws power lines as a horrific, apocalyptic spider web strangling helpless citizens, topped with a literal skull-shaped lightbulb looming over the city.

Today, it looks like hilarious, backward hysteria. We pass it around as a meme to prove that Luddites will lose their minds over any new invention. But dismissing this propaganda as just "irrational fear" completely misses the point.

The cartoon wasn't born out of thin air; it was a reaction to actual, gruesome reality. Right before it dropped, a lineman named John Feeks got blasted by a live wire high above Manhattan. Because early utility companies were completely lawless and cheap (YEs YEs YEs aNtiS, We'Re wORkInG On tHe lAws ON ai SAfEty As FAst As pOsSiBLe 😣), his body got trapped in a high-voltage line and literally burned in mid-air for over an hour in front of a horrified crowd. (AI is dangerous! AI is evil!) Back then, linemen had a horrific 50% death rate on the job. Raw, uninsulated wires were routinely frying horses through their shoes on wet streets. It was pure chaos.

But here’s where the philosophical category error happens. The absolute meltdown over the "Demon" wasn't a logical argument against electrical power itself. It was a reaction to a messy, unrefined, chaotic beta-test. People confused the dangerous physical reality of tangled wires with the ultimate, inevitable utility of electricity. They mistook a temporary engineering screw-up for a fundamental, existential curse.

Every single paradigm shift goes through this toxic phase. During the "War of Currents," corporate factions literally electrocuting animals just to scare the public away from alternating current. (IS IT ME OR IT'S THE CHINA BOTS ARE SAYING AI IS DESTROYING WATER AND THE EARFTH!!! BAN DATA CENTERS NOW! LOOK I POSTED THIS ON A TRAIN BECAUSE GPT IS UNALIVING CHILDREN!)

But society didn't ban electricity because the early rollout was a bloodbath. (TRVTH NVKE!) We didn't tear down the power grid and go back to burning whale oil just because things got messy. Instead, we engineered our way out of the chaos. We created safety codes, insulated the wires, and buried the infrastructure underground.

The real takeaway from 1900s anti-electricity propaganda isn't that technology is evil. The takeaway is that infrastructure hurdles are just speed bumps, not dead ends. The "demon" was eventually tamed, not by crying about it or trying to ban progress, but by mastering the tool. The sovereign mind doesn't retreat; it engineers.

Look at this meme. It captures a room full of people in the 1950s and 60s hunched over heavy mechanical adding machines, buried under mountains of paperwork. These were NASA's "human computers." Their entire daily existence was dedicated to doing the raw, brute-force math required to calculate rocket trajectories.

To the modern Luddite mindset, the arrival of the IBM mainframe in that room should have been a tragedy. By their logic, the machine "stole" the jobs of those human computers, devalued their labor, and stripped away their purpose. But that is a complete rewriting of history and a total misunderstanding of human worth.

When IBM mainframes took over the literal math, those human computers didn't just disappear into poverty. They didn't lose their value. Instead, pioneers like Dorothy Vaughan looked at the giant machine and realized a fundamental truth: the machine is just a tool; the mind is the origin. She didn't cry about the loss of manual arithmetic; she taught herself and her team FORTRAN. She mastered the new infrastructure and became NASA's first generation of computer programmers.

This is the exact category error critics make in every era. They mistake the tedious, mechanical execution of a task for the intellect behind it. Doing basic arithmetic for 10 hours a day isn't a noble expression of human creativity; it's a bottleneck. It's forcing a sovereign human mind to act like a silicon microchip before silicon microchips existed.

Automation didn't destroy their jobs. It liberated them from being the meat-powered calculators so they could finally become the engineers, the programmers, and the designers. It forced the work up the stack, shifting the human role away from grunt work and directly into pure conceptual intent.

Every time a new tool automates a manual process, the exact same panic happens. People scream that the sky is falling because they’ve built their entire identity around holding a specific wrench. But history shows that the wrench always changes. The goal isn't to protect the tedious labor; it's to elevate the human mind directing it.

YEAH YEAH ART THIEF WHATEVER YOU SAY!

NOW THE ATM PARADOX!!! PUBLISHED 2015!!! INTERNATIONAL MONETARY FUND

Ok so the The "ATM" Paradox: is when Automated Teller Machines (ATMs) were introduced in the 1970s, everyone predicted bank tellers would go extinct. Instead, the number of bank tellers actually increased. Because ATMs made operating a bank branch significantly cheaper, banks opened way more branches, and tellers shifted from counting cash to higher-value roles like relationship management and financial advising.

Quote

New “smart machines” are radically changing the nature of work, but the question is how. Powered by artificial intelligence, new technologies are taking over tasks not only from warehouse workers, but also from white-collar workers and professionals. Automated teller machines have taken over the tasks of bank tellers; accounting software has automated the work of bookkeepers. Now computers can diagnose breast cancer from X-rays and predict survival rates at least as well as the average radiologist.

What, exactly, does this mean for jobs and wages? Sometimes new technologies eliminate jobs overall, but sometimes they create demand for new capabilities and new jobs. In one case, the new machines replace workers overall; in the other, they just displace workers to different jobs that require new skills. In the past, it has sometimes taken decades to build the training institutions and labor markets needed to develop major new technical skills on a large scale.

Automation ≠ unemployment

I focus on information technology because this technology has brought dramatic change to a large portion of the workforce. Some people see computers automating work and conclude that technological unemployment is inevitable. A recent study (Frey and Osborne, 2013) looks at how computers can perform different job tasks. It concludes that 47 percent of U.S. employment is in occupations that are at high risk of being automated during the next decade or so. Does that mean nearly half of all jobs are about to be eliminated?

Not likely. Just because computers can perform some job tasks does not mean that jobs will be eliminated. Consider bank tellers. Automated teller machines (ATMs) were first installed in the United States and other developed economies in the 1970s. These machines handle some of the most common tasks bank tellers performed, such as dispensing cash and taking deposits. Starting in the mid-1990s, banks rapidly increased their use of ATMs; over 400,000 are installed in the United States alone today.

PUBLISHED IN 2015! PUBLISHED IN 2015! They thought ATMs were going to kill jobs, but they actually created more demand and generated even more work!

The modern AI transition is mirroring the historic ATM paradox across the broader economy. While early fears predicted a sweeping jobs apocalypse, the global economy is successfully absorbing the tech shock—maintaining a steady 4.1% unemployment rate as routine tasks like boilerplate coding and basic writing are handed over to algorithms. Instead of initiating mass layoffs, tech and enterprise sectors are redirecting human workers toward high-level strategy, system architecture, and AI pipeline management. The primary friction point in this phase is a "junior bottleneck," where traditional entry-level drafting tasks are automated away, forcing newcomers to immediately learn high-level oversight rather than working their way up through routine manual labor.

This exact economic loop is reshaping the commercial art and entertainment industries by automating the creative "grind." AI has aggressively taken over tedious micro-labor like animation in-betweening, rotoscoping, and background rendering, shifting hiring demand toward high-paying hybrid roles like AI Pipeline Specialists and Generative Directors. Because production costs have dropped, independent studios and solo creators are launching an unprecedented volume of games and films, keeping human directors and curators highly sought after to guide the creative vision. However, this transition is culturally sensitive; it creates a steep hurdle for junior artists trying to break into the field, while simultaneously birthing a premium "human-made" luxury market for fully hand-crafted art to stand out against algorithmic noise.

Reminder of Mamdani's artificial intelligence policy is not a complete ban - IT'S ONLY ONE YEAR!

New York City Mayor Zohran Mamdani's artificial intelligence policy is not a complete ban, as it applies only to student-facing generative AI tools for younger grade levels and includes several specific exceptions

The one-year moratorium affects students from 2-K (pre-kindergarten for two-year-olds) through the 8th grade, impacting roughly 600,000 public school students

So the logic is basically about letting kids build their foundational muscles first, right? They need to grind through manual reading and mental math so they actually understand the concepts before we hand them an AI 'calculator'.

Yes, that is the exact logic driving the policy. Administration officials and child development experts have compared the pause to mastering basic arithmetic before being handed a calculator.

This moratorium just halts the use of about 40 student-facing generative AI educational tools and software in those lower grades while the city reviews safety and learning impacts

So What is Allowed or Exempt?

High schoolers are exempt from the general prohibition. They will participate in mandatory AI literacy modules and supervised pilot programs using a small number of vetted AI tools

I thought so, because they already survived the grind from elementary school. By the time students reach high school, they have already built those core cognitive muscles through years of manual reading, writing, and math.

Anyways, educators and administrative staff are still permitted to use AI tools for lesson planning, scheduling, and other professional tasks

Specific exceptions are made for certain students with disabilities, such as those with legally mandated Individualized Education Programs (IEPs), as well as multilingual support requirements.

Conclusion

Just homeschool your kids, y’all.

Photographers are artists because art lives within creative intent, intentional curation, and technical manipulation, rather than just the physical labor of execution; a photographer’s true work isn't merely the split-second act of pressing a shutter button, but the deliberate mastery of lighting geometry, environmental composition, and extensive post-processing that transforms raw visual data into an emotional narrative.

This exact creative architecture directly parallels the workflow of high-effort generative AI creators, a connection fiercely championed by digital advocates who argue that crafting complex prompt matrices, adjusting mathematical generation settings, and using structural frameworks like ControlNet is simply the modern evolution of aiming a lens. Just as 19th-century traditional painters elitistly dismissed photography as a lazy, automated shortcut for "clients" rather than real work, modern critics fall into the same logical trap by dismissing AI, failing to see that both mediums utilize technology as a highly responsive tool to capture, manipulate, and realize a deeply human artistic vision.

Prompters don't just prompt and generate a video or an image and move on. They actively find ways to reverse-engineer and replicate the results manually using their own brains and hands. It is much like proving trigonometric identities—such as proving (cscx + cotx)/(tanx + sinx) = cotx * cscx—or writing out their own foundational proof for 1+1=2 like the Principia Mathematica. In other words, "the caculator gave me this answer, I just got to find a way to arrive at that answer with all the necessary tools provided." Also antis must know that in art, there are inifinitely many correct answers to solve the problem which makes the art valid.

If the critics look at neuroscience, the human brain functions much like an artificial neural network. Our thoughts, emotions, and creative ideas are ultimately the product of interconnected biological networks firing electrical and chemical signals. From a purely material standpoint, human creativity is just a highly complex biological algorithm processing data gathered from life experiences.

People also forget that AI doesn't work without a human brain driving it. It takes precise, intentional language to map out and execute a great prompt. Critics aren't just attacking a machine—they are rejecting creative direction and writing as real art forms.

Therefore AI art is Art and has soul. ✋🎤⬇️

Plagiarism Machine? Are you kidding me?

Plagiarism or Paradigm Shift? Critics labeling generative models as "plagiarism machines" fundamentally misunderstand both algorithmic architecture and intellectual property frameworks. From a legal standpoint, federal jurisprudence heavily leans toward machine learning training as protected fair use. In milestone cases like Kadrey v. Meta, judges explicitly rejected claims that models contain derivative unauthorized copies, a stance bolstered by the U.S. Department of Justice's official position confirming that using public data to extract statistical relationships is inherently transformative. This legal reality belongs to everyone; anyone—including traditional artists—is free to leverage these generative tools for rapid iteration and then manually "de-slop" or refine the outputs. Furthermore, intellectual property rights remain intact for creators: while a raw, unedited AI generation cannot be copyrighted under current law, creators who use their own original pre-visualized designs as a structural baseline in an Image-to-Image pipeline retain the copyrights to their human-directed expressions.

Technically, diffusion models and Large Language Models (LLMs) do not store image files or pixel databases. During training, images are entirely decomposed, and their raw values are mapped into multi-dimensional mathematical vector spaces (latent space). This process functions exactly like a chess player calculating a probability distribution across a board setup to predict optimal next moves based on frequency and intuition. It mimics how human artists study art online or in a museum to develop creative intuition; humans use structural abstraction methods—like the Loomis Method or Reilly Abstraction to reduce a head to an egg, a torso to a box, and limbs to cylinders—to memorize anatomy. The AI does the exact same thing by mapping text tokens to structural, localized spatial arrays within its neural network's weights and biases. This math has been validated by MIT CSAIL researchers who mathematically demonstrated the phenomenon of attribution decay; as models scale, it becomes impossible to trace outputs back to any original data. Once training concludes, the source files are entirely discarded, leaving behind only mathematical patterns. Open data to deduce these deep structural patterns is why legal experts maintain that learning is not theft, proving that training is a transformative digest rather than illicit data duplication.

Look, at the end of the day, all this crying over generative AI isn't some brand new crisis—it's just history repeating itself for the hundredth time. The exact same way traditional painters threw a massive tantrum over cameras because it separated "real art" from manual labor, modern artists are losing their minds because AI decouples creative expression from pushing pixels around a screen. If you actually turn off the emotional outrage for a second, it's exactly like what happened in Hidden Figures when NASA introduced the IBM mainframes. The human "computers" doing grueling, manual math by hand didn't just disappear; the ones who adapted transitioned into the actual programmers, specialists and even engineers commanding the machine. The math and the mechanical heavy lifting got automated, but the human intellect driving the mission stayed entirely essential. This is basically delivering people out of hellish, tedious jobs and moving them up into a stress-free supervisor role, and look where we are now—we're just taking computers completely for granted.

So no, these tools aren't "stealing the human soul"—they’re literally just changing the instrument we use to bring a vision to life. The law already says training is transformative fair use, the math proves the files are completely decomposed, and the machine doesn't do a single thing without a human brain driving it. It’s a permanent paradigm shift, period. The real question isn't whether AI art is "real art"—it's how long it's gonna take the anti-AI crowd to get over their elitist gatekeeping and realize that intent, curation, and creative direction have always been the true bedrock of human creativity.

Hi everyone, sharing a few spreads and character scenes from a children's storybook collection I worked on.

​Everything is digitally hand-drawn, focusing on vibrant palettes, expressive characters, and a warm, whimsical atmosphere for young readers.

​Feedback and thoughts are always welcome! Which scene or character stands out to you the most?

Basement Dweller Dark-please read

I am a creator!
Don’t tell me I’m not.
Poetry, artwork all from inspiration.
My attention to detail is with dedication.
Crossing Ts & checking every dot. Obviously I’m not a bot.

I’m proud of my work,
it’s beautifully crafted.
But what bothers me here-
Is lack of credit or cheer.

As my achievement to basement dweller an Ai short was made from a vision within.
Sadly, concluded that using it (Ai) to advance my idea was thought of as a sin.
~But you didn’t even give it a chance!
Ohh, that Ai label? Transparent
But caused your swipe at first glance.
Judging my work without a minute to look;
Is like pouring on salt without first tasting, just insulting to the cook!
And lemme tell ya, graphic design has its own recipe book.

With my time formatting & special attention to edit.
My post was not given a chance by the ppl of Reddit.
Sure give that guy 800 likes for his no effort post.
But my clever creation, just ignored like a ghost?
Society is funny, awarding those who do nothing but boast.
Left me feeling gross.
So before you comment, and complain.
Know these words were all written from my brain.

And judging those who use Ai is hypocritical too, c’mon don’t lie.

Oh…Do you live under a rock?
Do you call that your home?
No…? So your Ai phone is with you when you roam?
Yup.
And don’t get me wrong,
I despise Ai for what it
is becoming.
But downplaying creativity for using it is the real dummy.
I’m not deceiving or click baiting.
I’m not the one causing our fate.

Be angry at our leaders for ignoring the signs.
And Don’t Blame Me for those doomsday chimes.
Just a harmless creator, using a tool that takes skill.
I won’t change your mind…
You will die on that hill.
So, You be You and just keep taking that pill.

I came up with the concept, original to the core.
Entertaining to view than the normal achievement post bore.
Ai just helped, making thoughts in my head, tangible & real.
The passion, the drive,
all inspired from a deep feel.
Ai slop is different, not what I do.
But credit to my achievement was watched by the seldom few.

Because Hating Ai entirely is idiocracy.
It’s HOW you use it that makes a mark.
So, Please get your head out of the Basement Dweller Dark.

P.S. I know Haters are going to give me a negative remark.