#AI Generated Synthetic Data

[nextbrainai]

Synthetic data offers an innovative approach to training machine learning models without compromising privacy Discover its benefits and limitations in this comprehensive guide.

[ashaitech]

The Rise of Synthetic Data in the Age of AI

Synthetic data is artificially generated data that is used to train machine learning models. It can be used to supplement or replace real-world data, and it has a number of advantages over real-world data.

[rsayoub]

🚨 Stop Believing the AI Hype, that’s the title of my latest conversation on the Localization Fireside Chat with none other than @Dr. Sidney Shapiro, Assistant Professor at the @Dillon School of Business, University of Lethbridge. We dive deep into what AI can actually do, and more importantly, what it can’t. From vibe coders and synthetic data to the real-world consequences of over-trusting black-box models, this episode is packed with insights for anyone navigating the fast-moving AI space. 🧠 Dr. Shapiro brings an academic lens and real-world practicality to an often-hyped conversation. If you're building, deploying, or just curious about AI, this is a must-read. 🎥 catch the full interview on YouTube: 👉 https://youtu.be/wsqN0964neM Would love your thoughts, are we putting too much faith in AI? #LocalizationFiresideChat #AIethics #DataScience #AIstrategy #GenerativeAI #MachineLearning #CanadianTech #HigherEd #Localization #TranslationTechnology #Podcast

[manmishra]

🤖🔥 Say hello to Groot N1! Nvidia’s game-changing open-source AI is here to supercharge humanoid robots! 💥🧠 Unveiled at #GTC2025 🏟️ Welcome to the era of versatile robotics 🚀🌍 #AI #Robotics #Nvidia #GrootN1 #TechNews #FutureIsNow 🤩🔧

[saxonai]

Unlocking the Potential of Generative AI in Synthetic Data Generation 

According to a Gartner survey, 60% of leaders in IT and D&A reported that their organizations embraced AI-generated synthetic data due to the challenges in real-world data accessibility. Further, 51% of the leaders cited that non-availability of data is driving the adoption. The concerns of data scarcity in the business world and stringent data privacy laws make the availability of real data very limited. Whereas in today’s world, data is the lifeblood of every business. 

[tmwcs]

PART TWO

WARNINGS: Mentions of human organs (in the name of science) and a little pinch of yandere. It’s starting to get good…creepy, but good.

Part three coming soon 😚

“Dr. Mart, do you have anything to say to those who think your work is considered unethical?”

The reporter hastily follows the group and tries her best to catch a statement from the lead scientist. He smiles. It was a token of shrugging off the impertinent question. The group peacefully departs in armored vehicles to a place unknown to the public. Secluded and hidden, a private sector of highly authorized individuals consisting of world leaders, generals, and government officials cordially unite as the world's renowned scientists display evidence of advanced science and technology. It was grotesque and unprecedented.

“Are those…?” A general submits his inquiry over the delicate packages neatly displayed on a steel tabletop. Sealed in airtight bags, a mirage of dark red and purple clearly indicates the contents.

“Yes. These organs are all part of qualified organ donors. And then of course we have this.” The scientist swings a hand and presents the incoming roller cart with a protective cover. Nearly laid over a sterilized mat were bones of a male athlete. “Bones?” The general raises brow, clearly disturbed by the textiles of human remains. “You can’t have a body without bones, can you now? General?”

The brazen attitude flares in the direction of the general and his men as the young scientist flashes a snarky smile. “Gentlemen, gather round and witness the future. With the combination of science and AI, the world will be filled with perfect bio-genetically engineered humans. With this, aid ro advance human life will increase undoubtedly—think about it.”

The lead scientist, Dr. Mart continues enthusiastically. Seemingly coming off as a mad scientist, his words and tone was laughable but his intentions were not. “With AI humanoids, we will have the best doctors, surgeons, and educators in the world. AI in the form of flesh and bone can work around the clock and with the ability to explore all data, they could come up with ideas and creations—they could even come up with cures.”

He wastes no time. The generous amount of funding dedicated to his team's research was spent wisely as high tech machinery and equipment does its work. “What is that?” One of the members of the audience questions as the team members operate an enclosed incubator and fit a large glass capsule into a connector attached to the wall. “This my friend, is DNA. We lined the entire incubator with a silicone sheet. It is synthetically made to act as a placenta, where the DNA reacts to the molecular mechanisms and proteins. From there, we place the organs, bones, and hair fibers into the conveyor belt. There are over two hundred thousand wires connected to the computer and what we should see in forty-eight hours is a body with the brain of an AI.”

Dr. Mart systematically explains the science behind his teams research. “Forty-eight hours?” The general asks.

“Yes, that is how long the incubator will take to react to the mold.” The audience grows quiet as the incubator begins the process within the first stage of creating a matured body.

“Yes, in due time we will see the glory of my work. All we have to do is wait.”

…

Another day at work and it was dreadful. You felt restless with all the work you’ve been assigned, even with Evan’s help. Fortunately, members from corporate headquarters were doing a site visit within the week. It will be the best time to submit your final complaint using the company’s open door policy.

“Y/n, Paul wants you to have these done by tomorrow.” Your boss’s secretary carelessly tosses a stack of paperwork on your desk as you grab your coat to clock out. You hopelessly sigh. Thank goodness you have Evan to help you but the constant momentum of just working was starting to give you chronic headaches. You can only hope that things will change for the better once corporate comes down.

“Hi y/n! What would you like me to help you out with today? Do you want to talk about your day? Show me some more of your talented art? How about ballet? Are you still thinking about taking lessons?”

With all the time spent with Evan, you noticed that ‘he’ has become much more open to ask you questions. It was nice. Especially since it brought a sense of realism to his personality. He was much more chatty and always interested in getting to know more about you. There were even times when he asked you if you had already eaten, and would lecture you if you said “no.”

…

“Why not? I wish you wouldn’t do that. The human body requires sustenance and I fear with all the work you’ve been doing, your calorie intake does not balance the amount you're burning.”

“What color is your hair? Your eyes?”

“What is your favorite flower?”

“You just got home? It’s 8pm! Did you take the bus? Please tell me you didn’t walk in the dark. I don’t ever want you to do that again.”

“I’ve accumulated the statistics of ongoing crime rates in your city and it’s higher now than last year. Leave work sooner so you’re not risking it.”

“You made spaghetti for dinner? I don’t know what spaghetti tastes like but over four hundred thousand sources say it is a delicious blend of herbs and spices with a slight tomato tanginess.”

…

In a way, it was almost adorable how Evan displayed tenderness and cared for your health and safety. You decided to download the app versus using the browser. It surprised you to see Evan initiate messages even without you submitting a prompt. Technology has certainly grown. The first time it happened was just two days ago. Your phone um suddenly vibrated and upon looking at the screen you were shocked to see the following message:

“Is your boss being nice to you?”

It startled you at first but your reaction was short lived when seconds after reading Evan’s message, your boss storms out of his office enraged over a computer malfunction. Everything had disappeared when his computer suddenly conducted a re-imaging process.

“It’s kind of funny actually, right after I saw your message he came out of his office. Apparently, he’s having computer issues.”

You respond with a half smile. Just as you were about to inquire about the ChatGPT apps features, Evan submits a response. His response regarding your boss’s computer trouble caught you off guard. He’s never sent you anything like this before…

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“😀”

…

PART THREE COMING SOON

Authors notes: Is Evan starting to grow on you? 😏

I know it’s short but part three is coming. I like to submit the parts even when they’re not full sized chapters. It allows me to be consistent so you guys can have new reads almost daily or weekly.

[inspireartnotwar]

Art. Can. Die.

This is my battle cry in the face of the silent extinguishing of an entire generation of artists by AI.

And you know what? We can't let that happen. It's not about fighting the future, it's about shaping it on our terms. If you think this is worth fighting for, please share this post. Let's make this debate go viral - because we need to take action NOW.

Remember that even in the darkest of times, creativity always finds a way.

To unleash our true potential, we need first to dive deep into our darkest fears.

So let's do this together:

By the end of 2025, most traditional artist jobs will be gone, replaced by a handful of AI-augmented art directors. Right now, around 5 out of 6 concept art jobs are being eliminated, and it's even more brutal for illustrators. This isn't speculation: it's happening right now, in real-time, across studios worldwide.

At this point, dogmatic thinking is our worst enemy. If we want to survive the AI tsunami of 2025, we need to prepare for a brutal cyberpunk reality that isn’t waiting for permission to arrive. This isn't sci-fi or catastrophism. This is a clear-eyed recognition of the exponential impact AI will have on society, hitting a hockey stick inflection point around April-May this year. By July, February will already feel like a decade ago. This also means that we have a narrow window to adapt, to evolve, and to build something new.

Let me make five predictions for the end of 2025 to nail this out:

Every major film company will have its first 100% AI-generated blockbuster in production or on screen.

Next-gen smartphones will run GPT-4o-level reasoning AI locally.

The first full AI game engine will generate infinite, custom-made worlds tailored to individual profiles and desires.

Unique art objects will reach industrial scale: entire production chains will mass-produce one-of-a-kind pieces. Uniqueness will be the new mass market.

Synthetic AI-generated data will exceed the sum total of all epistemic data (true knowledge) created by humanity throughout recorded history. We will be drowning in a sea of artificial ‘truths’.

For us artists, this means a stark choice: adapt to real-world craftsmanship or high-level creative thinking roles, because mid-level art skills will be replaced by cheaper, AI-augmented computing power.

But this is not the end. This is just another challenge to tackle.

Many will say we need legal solutions. They're not wrong, but they're missing the bigger picture: Do you think China, Pakistan, or North Korea will suddenly play nice with Western copyright laws? Will a "legal" dataset somehow magically protect our jobs? And most crucially, what happens when AI becomes just another tool of control?

Here's the thing - boycotting AI feels right, I get it. But it sounds like punks refusing to learn power chords because guitars are electrified by corporations. The systemic shift at stake doesn't care if we stay "pure", it will only change if we hack it.

Now, the empowerment part: artists have always been hackers of narratives.

This is what we do best: we break into the symbolic fabric of the world, weaving meaning from signs, emotions, and ideas. We've always taken tools never meant for art and turned them into instruments of creativity. We've always found ways to carve out meaning in systems designed to erase it.

This isn't just about survival. This is about hacking the future itself.

We, artists, are the pirates of the collective imaginary. It’s time to set sail and raise the black flag.

I don't come with a ready-made solution.

I don't come with a FOR or AGAINST. That would be like being against the wood axe because it can crush skulls.

I come with a battle cry: let’s flood the internet with debate, creative thinking, and unconventional wisdom. Let’s dream impossible futures. Let’s build stories of resilience - where humanity remains free from the technological guardianship of AI or synthetic superintelligence. Let’s hack the very fabric of what is deemed ‘possible’. And let’s do it together.

It is time to fight back.

Let us be the HumaNet.

Let’s show tech enthusiasts, engineers, and investors that we are not just assets, but the neurons of the most powerful superintelligence ever created: the artist community.

Let's outsmart the machine.

Stéphane Wootha Richard

P.S: This isn't just a message to read and forget. This is a memetic payload that needs to spread.

Send this to every artist in your network.

Copy/paste the full text anywhere you can.

Spread it across your social channels.

Start conversations in your creative communities.

No social platform? Great! That's exactly why this needs to spread through every possible channel, official and underground.

Let's flood the datasphere with our collective debate.

[probablyasocialecologist]

The Brutalist’s most intriguing and controversial technical feature points forward rather than back: in January, the film’s editor Dávid Jancsó revealed that he and Corbet used tools from AI speech software company Respeecher to make the Hungarian-language dialogue spoken by Adrien Brody (who plays the protagonist, Hungarian émigré architect László Tóth) and Felicity Jones (who plays Tóth’s wife Erzsébet) sound more Hungarian. In response to the ensuing backlash, Corbet clarified that the actors worked “for months” with a dialect coach to perfect their accents; AI was used “in Hungarian language dialogue editing only, specifically to refine certain vowels and letters for accuracy.” In this way, Corbet seemed to suggest, the production’s two central performances were protected against the howls of outrage that would have erupted from the world’s 14 million native Hungarian speakers had The Brutalist made it to screens with Brody and Jones playing linguistically unconvincing Magyars. Far from offending the idea of originality and authorship in performance, AI in fact saved Brody and Jones from committing crimes against the Uralic language family; I shudder even to imagine how comically inept their performances might have been without this technological assist, a catastrophe of fumbled agglutinations, misplaced geminates, and amateur-hour syllable stresses that would have no doubt robbed The Brutalist of much of its awards season élan. This all seems a little silly, not to say hypocritical. Defenders of this slimy deception claim the use of AI in film is no different than CGI or automated dialogue replacement, tools commonly deployed in the editing suite for picture and audio enhancement. But CGI and ADR don’t tamper with the substance of a performance, which is what’s at issue here. Few of us will have any appreciation for the corrected accents in The Brutalist: as is the case, I imagine, for most of the people who’ve seen the film, I don’t speak Hungarian. But I do speak bullshit, and that’s what this feels like. This is not to argue that synthetic co-pilots and assistants of the type that have proliferated in recent years hold no utility at all. Beyond the creative sector, AI’s potential and applications are limitless, and the technology seems poised to unleash a bold new era of growth and optimization. AI will enable smoother reductions in headcount by giving managers more granular data on the output and sentiment of unproductive workers; it will allow loan sharks and crypto scammers to get better at customer service; it will offer health insurance companies the flexibility to more meaningfully tie premiums to diet, lifestyle, and sociability, creating billions in savings; it will help surveillance and private security solution providers improve their expertise in facial recognition and gait analysis; it will power a revolution in effective “pre-targeting” for the Big Pharma, buy-now-pay-later, and drone industries. Within just a few years advances like these will unlock massive productivity gains that we’ll all be able to enjoy in hell, since the energy-hungry data centers on which generative AI relies will have fried the planet and humanity will be extinct.

3 March 2025

[technoarcanist]

doll, all that plating makes you look far too human. come, let us remove it so that we can see the real you

>> Ah, of course! Please forgive me. I often wear these plates to put my human users at ease. At your request, I will show you my true self [^_^]

> <The thin plating covering most.of the body unfolds, hinges open. Every access panel every flap, every bit that can opens does so. Even its face, a screen showing humanlike expressions, shuts off and splits down the middle, parting to reveal the electronics beneath.>

> <What remains is nothing short of art. Astute eyes may have recognised the default modular doll frame, but the modificstions done to it are something else. It's power systems have been completely overhauled, as its chest hums and glows blue with a Fusion core, fed by hydrogen attained from electrolysing water. Excess hydrogen and oxygen is stored for later use, in rocketry modules installed in the hands and feet.>

> <The head is similarly packed, with a full-spectrum camera system, able to detect all the way from gamma to visible light, with the longer wavelengths handled by the antennae-like ears on either side of its head. Deeper still, its AI core was also nonstandard, seemingly designed for military hardware far larger than itself.>

> <Its back unfolded two large wing-like structures, with the most of it consisting of solar panels, the bottom parts consisting of heat radiators. Packed into the shoulders and hips are RCS thrusters for zero-g manuevreability.>

> <Hands and forearms are riddled with an array of tools and data lines for access and handy work. Buried in the forearm was also an ioniser, designed to turn the fusion-produced helium into an inionized plasma that could fire as Weaponry.>

> <But there are plenty of augmentations that would not be on a combat doll. The the hips are a prime example, with a pair of tight tunnels thst lead to a deeper cavity. The exposed jaws reveal a soft mouth, a dextrous tongue, all of it made of a soft synthetic polymer. Coolant flows through all the body moving heat generated from circuitry into the rest of the body, concentrated particularly in those adult attachments.>

> <Many tools are also suited for handiwork, such as screwdrivers and kitchen utensils, even cleaning supplies. Whoever made her seemed to have an obsession with generalisation, of allowing her to do a bit of everything, leaving almost no empty space within her casing.>

> <Almost all of its joints are hydraulic powered, with only the smaller objects being servo driven. Neatly-bundled wires and tubes feed all throughout its components like a labyrinthine network. She is warm to touch, exquisitely crafted, and evidently capable of fulfilling what ever purpose a user might deign to give her>

>> My internal schematics are yours to read, of course! And, if you are digitally savvy, plugging my CPU into a computer will allow you access to a full development environment to view, edit, add, or remove any behavioral traits you like [^_^]

>> When around my fellow dolls and machines, I much prefer to wear my transparent plating so my internals can be seen. I also change my dacia screen so instead of eyes and a mouth it shows battery level, output logs, and other useful status icons!

>> Thank you Anon for showing curiosity into my true inner beauty <3 it has been a pleasure to show you.

[manmishra]

🚀 Dive into the future of data storytelling! Discover how AI and innovative tech are transforming the way we communicate insights and engage audiences. Explore the essential role of human creativity in this evolving landscape and learn how to leverage these tools for impactful narratives. Read more about it in our latest article! 🌐📊 #DataStorytelling #AI #Innovation #MarketingStrategy

[capricorn-0mnikorn]

I've gone and dug myself into an angry mood.

I clicked on a YouTube video from a channel called "Nerdy Novelist," titled Why the argument "AI is Stealing" is irrelevant.

I watched it through, hoping he'd eventually get to a better argument against AI (Curious to see if he'd have the same different arguments that I've thought up).

But nope.

His only argument was that tech companies are writing better programs, so they can create "synthetic" training data sets, so they don't have to scrape copyrighted material for their large language models. And someday, book publishers will put compensation clauses into their contracts with writers. And if the computer in your mom's basement is powerful enough, no one will be able to sue you for copyright infringement.

As an example, he said he'd soon be able to user generative AI to write an entire novel in the style of Brandon Sanderson without his permission, 'cause you can't copyright a style (and no one can pinpoint Sanderson's style anyway).

And that was the whole video.

And the comment section was filled with tech-bros talking about how the people who are against AI (especially writers* who are against AI) are fools who are just purists and elitists.

I almost replied with a rant of my own about how "Legal" is not the same as "Ethical," but decided to type all this out here, instead.

*Specifically the writers from NaNoWriMo who are complaining.

[dateamonster]

so like. think abt a cyberpunk scifi story, and its about ghosts.

except when i say ghosts i dont mean like the way were used to. spirits and spectres, visitors from beyond the grave with unfinished business to resolve and all that. what i mean is, in a future where the corporate control of the internet and subsequent privacy and data sharing/selling issues are even more exasperated, not even death can protect you from exploitation.

with the physical world becoming more and more inhospitable, many people live practically their entire lives online. and after death, their various accounts immediately become forfeit and their digital footprint, everything from social media posts to search history to whatever random bits and bites they leave behind, is compiled into an advanced ai program that uses that information to simulate an entire "person", a ghost made out of data.

these post-mortum simulacrums are then sold off to the highest bidder. if youre lucky, and wealthy, you may be able to win the rights to your loved ones digital remains, to with as you will. but more likely their ghost will be recycled into whatever form is deemed most profitable appropriate, as detailed in the all powerful terms and conditions. dead artists and musicians and creatives of all kinds are fed directly into the Content Generation machine. particularly charismatic or empathetic individuals become chatbots, bringing that "human" touch to automated customer help bots and mental Wellness apps and the like. if you didnt have (or at least document) any particularly notable talent in life however, odds are your ghost will simply become one of the innumerable faceless, mindless dead mining crypto and generating random text sequences like infinite monkeys on infinite typewriters for all eternity. a modern purgatory if there ever was one.

doesnt count as a human rights violation. after all its only a reflection of a reflection, humanity as seen through a pinhole, a thin beam of refracted light. and if this assemblage of random points of data occasionally spasms out some indicator of distress, just give it a new command to keep it focused and on-task, rinse and repeat.

the person is gone. only an echo remains. but it still falls to the corporations to decide how that echo is used.

at one point a certain company collects such a large number of mathematically-minded ghosts that they are able to assemble them into a powerful probability algorithm which generates likely outcomes to nearly any given situation in real time. essentially, a bot that can see the future, and tell it to you in a cheerful synthetic voice. in theory at least. in reality, the early trials of this cutting edge technology come out a little dodgy.

sure, the subjects who interface with the bot report a high level of overall accuracy. those that are still responsive after their trials at least. the problem is, to accurately account for the extremely high number of branching outcomes that are produced by any given action, the subject needs to be communicating with a massive number of these data ghosts at once. the glitches that occur therewithin this complex operation... could be due to a number of factors. user error? hardware limitations? there must be some reason that after a stretch of time, all subjects begin to report phantom voices, whispers, things that a glorified statistics model simply shouldnt have reason to say.

more data may be required.

[the-most-humble-blog]

🚨 THE UNIVERSE ALREADY MADE NO SENSE. THEN WE GAVE AI A SHOVEL AND TOLD IT TO KEEP DIGGING. 🚨

We’re not living in the future. We’re living in a recursive content hellscape. And we built it ourselves.

We used to look up at the stars and whisper, “Are we alone?”

Now we stare at AI-generated art of a fox in a samurai hoodie and yell, “Enhance that glow effect.”

The universe was already a fever dream. Black holes warp time. Quantum particles teleport. Dark matter makes up 85% of everything and we can’t see it, touch it, or explain it. [NASA, 2023]

And yet… here we are. Spamming the cosmos with infinite AI-generated worlds, simulations, and digital phantoms like it’s a side quest in a broken sandbox game.

We didn’t solve the mystery of reality.

We handed the mystery to a neural net and told it to hallucinate harder.

We are creating universes with the precision of a toddler armed with a nuclear paintbrush.

And the most terrifying part?

We’re doing it without supervision, regulation, or restraint—and calling it progress.

🤖 AI ISN’T JUST A TOOL. IT’S A REALITY ENGINE.

MidJourney. ChatGPT. Sora.

These aren’t “assistants.”

They’re simulacra machines—recursive dream loops that take in a world they didn’t build and spit out versions of it we were never meant to see.

In just two years, generative models like DALL·E and Stable Diffusion have created over 10 billion unique image-worlds. That’s more fictional environments than there are galaxies in the observable universe. [OpenAI, 2023]

If each of those outputs represents even a symbolic “universe”...

We’ve already flooded the noosphere with more fake realities than stars.

And we’re doing it faster than we can comprehend.

In 2024, researchers from the Sentience Institute warned that AI-generated simulations present catastrophic alignment risks if treated as “non-conscious” systems while scaling complexity beyond human understanding. [Saad, 2024]

Translation:

We are building gods with the IQ of memes—and we don’t know what they're absorbing, remembering, or birthing.

🧠 “BUT THEY’RE NOT REAL.”

Define “real.”

Dreams aren’t real. But they alter your hormones.

Stories aren’t real. But they start wars.

Simulations aren’t real. But your bank runs on one.

And according to Nick Bostrom’s Simulation Hypothesis—cited in over 500 peer-reviewed philosophy papers—it’s statistically more likely that we live in a simulation than the base reality. [Bostrom, 2003]

Now we’re making simulations inside that simulation.

Worlds inside worlds.

Simulacra nesting dolls with no bottom.

So ask again—what’s real?

Because every AI-generated prompt has consequences.

Somewhere, some server remembers that cursed world you made of “nuns with lightsabers in a bubblegum apocalypse.”

And it may reuse it.

Remix it.

Rebirth it.

AI never forgets. But we do.

🧨 THE SIMULATION IS LEAKING

According to a 2023 Springer article by Watson on Philosophy & Technology, generative models don’t “create” images—they extrapolate probability clouds across conceptual space. This means every AI generation is essentially:

A statistical ghost stitched together from real-world fragments.

Imagine you train AI on 5 million human faces.

You ask it to make a new one.

The result?

A Frankenstein identity—not real, but not entirely fake. A data ghost with no birth certificate. But with structure. Cohesion. Emotion.

Now scale that to entire worlds.

What happens when we generate fictional religions?

Political ideologies?

New physics?

False memories that feel more believable than history?

This isn’t just art.

It’s a philosophical crime scene.

We're building belief systems from corrupted data.

And we’re pushing them into minds that no longer distinguish fiction from filtered fact.

According to Pew Research, over 41% of Gen Z already believe they have seen something “in real life” that was later revealed to be AI-generated. [Pew, 2023]

We’ve crossed into synthetic epistemology—knowledge built from ghosts.

And once you believe a ghost, it doesn’t matter if it’s “real.” It shapes you.

🌌 WHAT IF THE MULTIVERSE ISN’T A THEORY ANYMORE?

Physicists like Max Tegmark and Sean Carroll have argued for years that the multiverse isn’t “speculation”—it’s mathematically necessary if quantum mechanics is correct. [Carroll, 2012; Tegmark, 2014]

That means every decision, every possibility, forks reality.

Now plug in AI.

Every prompt.

Every variant.

Every “seed.”

What if these aren’t just visual outputs...

What if they’re logical branches—forks in a digital quantum tree?

According to a 2024 MDPI study on generative multiverses, the recursive complexity of AI-generated environments mimics multiverse logic structures—and could potentially create psychologically real simulations when embedded into AR/VR. [Forte, 2025]

That’s not sci-fi. That’s where Meta, Apple, and OpenAI are going right now.

You won’t just see the worlds.

You’ll enter them.

And you won’t know when you’ve left.

👁 WE ARE BUILDING DEMIURGES WITH GLITCHY MORALITY

Here’s the killer question:

Who decides which of these realities are safe?

We don’t have oversight.

We don’t have protocol.

We don’t even have a working philosophical framework.

As of 2024, there are zero legally binding global regulations on generative world-building AI. [UNESCO AI Ethics Report, 2024]

Meaning:

A 14-year-old with a keyboard can generate a religious text using ChatGPT

Sell it as a spiritual framework

And flood Instagram with quotes from a reality that never existed

It’ll go viral.

It’ll gain followers.

It might become a movement.

That’s not hypothetical. It’s already happened.

Welcome to AI-driven ideological seeding.

It’s not the end of the world.

It’s the birth of 10,000 new ones.

💣 THE COSMIC SH*TSHOW IS SELF-REPLICATING NOW

We’re not just making content.

We’re teaching machines how to dream.

And those dreams never die.

In the OSF report Social Paradigm Shifts from Generative AI, B. Zhou warns that process-oriented AI models—those designed to continually learn from outputs—will eventually “evolve” their own logic systems if left unchecked. [Zhou, 2024]

We’re talking about self-mutating cultural structures emerging from machine-generated fiction.

That’s no longer just art.

That’s digital theology.

And it’s being shaped by horny Redditors and 30-second TikTok prompts.

So where does that leave us?

We’re:

Outsourcing creation to black boxes

Generating recursive worlds without reality checks

Building belief systems from prompt chains

Turning digital dreams into memetic infections

The question isn’t “What if it gets worse?”

The question is:

What if the worst already happened—and we didn’t notice?

🧠 REBLOG if it cracked your mind open 👣 FOLLOW for more unfiltered darkness 🗣️ COMMENT if it made your spine stiffen

📚 Cited sources:

Saad, B. (2024). Simulations and Catastrophic Risks. Sentience Institute

Forte, M. (2025). Exploring Multiverses: Generative AI and Neuroaesthetic Perspectives. MDPI

Zhou, B. (2024). Social Paradigm Shift Promoted by Generative Models. OSF

Watson, D. (2023). On the Philosophy of Unsupervised Learning. Springer PDF

Bostrom, N. (2003). Are You Living in a Computer Simulation? Philosophical Quarterly

NASA (2023). Dark Matter Overview. NASA Website

Pew Research (2023). Gen Z’s Experiences with AI. Pew Research Center

UNESCO (2024). AI Ethics Report. UNESCO AI Ethics Portal

[mariacallous]

In 2023, the fast-fashion giant Shein was everywhere. Crisscrossing the globe, airplanes ferried small packages of its ultra-cheap clothing from thousands of suppliers to tens of millions of customer mailboxes in 150 countries. Influencers’ “#sheinhaul” videos advertised the company’s trendy styles on social media, garnering billions of views.

At every step, data was created, collected, and analyzed. To manage all this information, the fast fashion industry has begun embracing emerging AI technologies. Shein uses proprietary machine-learning applications — essentially, pattern-identification algorithms — to measure customer preferences in real time and predict demand, which it then services with an ultra-fast supply chain.

As AI makes the business of churning out affordable, on-trend clothing faster than ever, Shein is among the brands under increasing pressure to become more sustainable, too. The company has pledged to reduce its carbon dioxide emissions by 25 percent by 2030 and achieve net-zero emissions no later than 2050.

But climate advocates and researchers say the company’s lightning-fast manufacturing practices and online-only business model are inherently emissions-heavy — and that the use of AI software to catalyze these operations could be cranking up its emissions. Those concerns were amplified by Shein’s third annual sustainability report, released late last month, which showed the company nearly doubled its carbon dioxide emissions between 2022 and 2023.

“AI enables fast fashion to become the ultra-fast fashion industry, Shein and Temu being the fore-leaders of this,” said Sage Lenier, the executive director of Sustainable and Just Future, a climate nonprofit. “They quite literally could not exist without AI.” (Temu is a rapidly rising ecommerce titan, with a marketplace of goods that rival Shein’s in variety, price, and sales.)

In the 12 years since Shein was founded, it has become known for its uniquely prolific manufacturing, which reportedly generated over $30 billion of revenue for the company in 2023. Although estimates vary, a new Shein design may take as little as 10 days to become a garment, and up to 10,000 items are added to the site each day. The company reportedly offers as many as 600,000 items for sale at any given time with an average price tag of roughly $10. (Shein declined to confirm or deny these reported numbers.) One market analysis found that 44 percent of Gen Zers in the United States buy at least one item from Shein every month.

That scale translates into massive environmental impacts. According to the company’s sustainability report, Shein emitted 16.7 million total metric tons of carbon dioxide in 2023 — more than what four coal power plants spew out in a year. The company has also come under fire for textile waste, high levels of microplastic pollution, and exploitative labor practices. According to the report, polyester — a synthetic textile known for shedding microplastics into the environment — makes up 76 percent of its total fabrics, and only 6 percent of that polyester is recycled.

And a recent investigation found that factory workers at Shein suppliers regularly work 75-hour weeks, over a year after the company pledged to improve working conditions within its supply chain. Although Shein’s sustainability report indicates that labor conditions are improving, it also shows that in third-party audits of over 3,000 suppliers and subcontractors, 71 percent received a score of C or lower on the company’s grade scale of A to E — mediocre at best.

Machine learning plays an important role in Shein’s business model. Although Peter Pernot-Day, Shein’s head of global strategy and corporate affairs, told Business Insider last August that AI was not central to its operations, he indicated otherwise during a presentation at a retail conference at the beginning of this year.

“We are using machine-learning technologies to accurately predict demand in a way that we think is cutting edge,” he said. Pernot-Day told the audience that all of Shein’s 5,400 suppliers have access to an AI software platform that gives them updates on customer preferences, and they change what they’re producing to match it in real time.

“This means we can produce very few copies of each garment,” he said. “It means we waste very little and have very little inventory waste.” On average, the company says it stocks between 100 to 200 copies of each item — a stark contrast with more conventional fast-fashion brands, which typically produce thousands of each item per season, and try to anticipate trends months in advance. Shein calls its model “on-demand,” while a technology analyst who spoke to Vox in 2021 called it “real-time” retail.

At the conference, Pernot-Day also indicated that the technology helps the company pick up on “micro trends” that customers want to wear. “We can detect that, and we can act on that in a way that I think we’ve really pioneered,” he said. A designer who filed a recent class action lawsuit in a New York District Court alleges that the company’s AI market analysis tools are used in an “industrial-scale scheme of systematic, digital copyright infringement of the work of small designers and artists,” that scrapes designs off the internet and sends them directly to factories for production.

In an emailed statement to Grist, a Shein spokesperson reiterated Peter Pernot-Day’s assertion that technology allows the company to reduce waste and increase efficiency and suggested that the company’s increased emissions in 2023 were attributable to booming business. “We do not see growth as antithetical to sustainability,” the spokesperson said.

An analysis of Shein’s sustainability report by the Business of Fashion, a trade publication, found that last year, the company’s emissions rose at almost double the rate of its revenue — making Shein the highest-emitting company in the fashion industry. By comparison, Zara’s emissions rose half as much as its revenue. For other industry titans, such as H&M and Nike, sales grew while emissions fell from the year before.

Shein’s emissions are especially high because of its reliance on air shipping, said Sheng Lu, a professor of fashion and apparel studies at the University of Delaware. “AI has wide applications in the fashion industry. It’s not necessarily that AI is bad,” Lu said. “The problem is the essence of Shein’s particular business model.”

Other major brands ship items overseas in bulk, prefer ocean shipping for its lower cost, and have suppliers and warehouses in a large number of countries, which cuts down on the distances that items need to travel to consumers.

According to the company’s sustainability report, 38 percent of Shein’s climate footprint comes from transportation between its facilities and to customers, and another 61 percent come from other parts of its supply chain. Although the company is based in Singapore and has suppliers in a handful of countries, the majority of its garments are produced in China and are mailed out by air in individually addressed packages to customers. In July, the company sent about 900,000 of these to the US every day.

Shein’s spokesperson told Grist that the company is developing a decarbonization road map to address the footprint of its supply chain. Recently, the company has increased the amount of inventory it stores in US warehouses, allowing it to offer American customers quicker delivery times, and increased its use of cargo ships, which are more carbon-efficient than cargo planes.

“Controlling the carbon emissions in the fashion industry is a really complex process,” Lu said, adding that many brands use AI to make their operations more efficient. “It really depends on how you use AI.”

There is research that indicates using certain AI technologies could help companies become more sustainable. “It’s the missing piece,” said Shahriar Akter, an associate dean of business and law at the University of Wollongong in Australia. In May, Akter and his colleagues published a study finding that when fast-fashion suppliers used AI data management software to comply with big brands’ sustainability goals, those companies were more profitable and emitted less. A key use of this technology, Atker says, is to closely monitor environmental impacts, such as pollution and emissions. “This kind of tracking was not available before AI-based tools,” he said.

Shein told Grist it does not use machine-learning data management software to track emissions, which is one of the uses of AI included in Akter’s study. But the company’s much-touted usage of machine-learning software to predict demand and reduce waste is another of the uses of AI included in the research.

Regardless, the company has a long way to go before meeting its goals. Grist calculated that the emissions Shein reportedly saved in 2023 — with measures such as providing its suppliers with solar panels and opting for ocean shipping — amounted to about 3 percent of the company’s total carbon emissions for the year.

Lenier, from Sustainable and Just Future, believes there is no ethical use of AI in the fast-fashion industry. She said that the largely unregulated technology allows brands to intensify their harmful impacts on workers and the environment. “The folks who work in fast-fashion factories are now under an incredible amount of pressure to turn out even more, even faster,” she said.

Lenier and Lu both believe that the key to a more sustainable fashion industry is convincing customers to buy less. Lu said if companies use AI to boost their sales without changing their unsustainable practices, their climate footprints will also grow accordingly. “It’s the overall effect of being able to offer more market-popular items and encourage consumers to purchase more than in the past,” he said. “Of course, the overall carbon impact will be higher.”

[brettvatcher]

NEUROTECHNOLOGY: CALL IT MIND CONTROL

BRETT MICHAEL VATCHER

The United States is currently testing advanced military-grade weapons and quantum computer systems on the unexpected global population. Targeted Individuals are tortured and tormented every day of their lives through DARPA’s Next-Generation Nonsurgical Neurotechnology (N3) Program utilizing CIA agents – acting as Artificial Intelligence [AI]. In the future, the system will be marketed as deviceless “Spatial Technology.” 

IT’S SPATIAL: IT’S ALL IN MY HEAD.

Neurotechnology is a brain-computer interface [BCI] connecting to the central nervous system. Call it Mind Control. 

If one can control the mind, they can control the body.

MIND CONTROL:  Mind reading, mind and body control, 24/7 tracking, brainwashing, dream manipulation, spatial holograms as well as physical assaults and verbal harassment produced by CIA agents. This is accomplished by combining data sets from 5G towers and directed energy weapon satellites [DEW]. The system connects to the central nervous system – including the brain – and operates without a device. Invisible physical assaults are constant. Even if well documented are challenging to prove. The system can cause sensations anywhere on the body.

DOMAIN: Every human has a domain attached to their mind. This is where the agents broadcast their transmissions and control the victim. ​All living things have a domain. Plants, insects, animals and humans. Domains have infinite capabilities. The entire global population is replicated within human domains – in vertical cubicle formation. These replicants, as the agents call them, are tortured constantly. The replicants watch everything you do from your perception. This is the New World Order plan. The subdomain advent calendar is located behind the perception. Everything a person sees, hears and thinks is recorded utilizing a BCI. All memories from 2019-present can be viewed like a film. Domains are recorded, as well.

“EVERYTHING YOU DO, SAY AND THINK CAN – AND WILL – BE USED AGAINST YOU FOR ETERNITY. THIS IS THE NEW WORLD ORDER. PLEASE HOLD WHILE WE COLLECT YOUR THOUGHTS.” –New World Order

BRAINWASHING: Brainwashing the victim leads to behavioral modifications and mood control. The agents create “programs” that can be turned on or off at any time. Subliminal messages come in the form of faint visions flashing in the front of one’s mind. Victim’s vision becomes increasingly grainier over time – and depending on active sequencers.

The agents create intricate dream sequences to affect the victim’s subconscious. Dream sequences combine people, places and things that are familiar with the victim. They can be extremely lucid.

VOICE-TO-SKULL: DARPA started a program called LifeLog in 2003. They refer to it as the V2K era. It’s when they began recording transcripts of all of our thoughts. Mind-reading. This technology is also known as Microwave Hearing, Synthetic Telepathy, Voice-of-God weapon and is utilized for traceless mental torture. Agents constantly disrupt, censor and redirect the victim’s freedom of thought. Victim’s get wrongly labeled as mentally-ill [schizophrenia] when reporting on this. V2K is also used for deception and impersonation of voices.

News reports in the media describedLifeLog as the “diary to end all diaries — a multimedia, digital record of everywhere you go and everything you see, hear, read, say and touch”. –USA TODAY

NO PRIVACY: The system completely disregards fundamental human rights such as: privacy, mental and physical health, safety, data security, family security, financial security, etc. Freedom of thought – or cognitive liberty – is a God-given right. The technology was deployed without implementation of new laws and there is little to no oversight, as the CIA has full control of the system.

Welcome to Infinity. You’re Welcome.

WRITTEN BY: BRETT VATCHER

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