r/aiHub

Create yours here: https://pornize.ai/?ref=J6RA4U3Y

https://redgifs.com/ifr/brightwellgroomedanemonecrab

Make one here too: https://pornize.ai/?ref=ULSFY9QN

In 2022, Cory Doctorow coined the term "enshittification" to describe how platforms die. The pattern goes like this:

First, platforms are good to their users to attract them. Then they abuse their users to benefit their business customers. Then they abuse their business customers to claw back all the value for shareholders. Then they die.

It happened to Facebook. It happened to Google Search. It happened to Amazon. And if you've been paying attention for the last twelve months, it is happening to AI right now. Stage by stage. Company by company. In public.

Let's walk through it.

Stage 1: Be good to users

Remember early ChatGPT? Free, fast, generous, surprisingly capable. No ads. No training disclosures anyone read. It felt like magic and it cost nothing. Claude launched with thoughtful, careful responses and a genuine sense of respect for user privacy. Gemini gave you the full power of Google's models with your existing account.

This is always how it starts. The product is genuinely good because the company needs you. They need your attention, your data, your habit formation, your dependency. The free tier isn't generosity. It's acquisition cost.

Stage 2: Abuse users to benefit business customers

This is where we are now, and it's accelerating:

OpenAI signed a classified Pentagon contract in February 2026, deploying AI on military networks. This happened after Anthropic refused the same deal because it wouldn't drop restrictions on autonomous weapons and surveillance. OpenAI's own staff protested. The EFF called the contract language unverifiable. But the deal went through because the business customer (the Department of Defense) mattered more than the user base that built ChatGPT's market position.

Google announced ads inside Gemini AI responses at I/O 2026. "Conversational Discovery ads" where the AI generates ad copy tailored to your query. "Highlighted Answers" where advertisers pay to appear as the AI's recommendation. Your AI's opinion is now for sale. The business customer (advertisers) now shapes what your AI tells you.

ChatGPT trains on your conversations by default. You can opt out, but most users don't know the toggle exists. Even with it off, behavioral telemetry (click patterns, session data, feature usage) keeps flowing with no off switch. Your conversations are the product being sold to improve the product being sold to enterprise customers.

Stage 3: Abuse business customers to maximize shareholder value

This stage is beginning:

Usage limits that shift without notice. Models that get deprecated after users build workflows around them. Quality that silently degrades mid-month. Pricing that creeps up while capabilities are moved behind higher tiers. Vague terms of service that give the company permission to change anything at any time.

OpenAI is restructuring as a for-profit corporation. Google answers to shareholders who expect AI to drive ad revenue. The incentive structure is set. The squeeze will continue.

The pattern isn't subtle anymore

Doctorow's insight was that enshittification isn't a moral failing. It's an incentive structure. Companies don't enshittify because the people running them are evil. They enshittify because their business model demands it. Free tiers require monetizing users some other way. VC funding requires hockey-stick growth. Public markets require quarterly extraction. The mechanism is built into the architecture of how these companies are funded, governed, and measured.

Which means the question isn't "will my AI company enshittify?" It's "does its business model make enshittification inevitable?"

What the opposite looks like

I'm with a small company called Phoenix Grove Systems https://pgsgrove.com/ (https://pgsgrove.com/). I'm being transparent about that. But I want to describe what an AI company looks like when the enshittification incentive structure doesn't exist, because I think it's worth seeing the contrast, and we are truly hoping to create a better way.

No free tier. This is the big one. A free tier means your users are the product, because something has to pay for the compute they're consuming. PGS charges from day one (starting around $4) because the subscription IS the business model. There is no second business customer to shift loyalty toward. We don't have a free tier because we don't ever harvest, train on, use, or sell customer data.

No training on conversations. Not opt-out. Not toggle-based. The capability doesn't exist. There is no dataset of user conversations because we never built the pipeline to create one.

No ads. No paid placements. No sponsored recommendations. The AI's output is shaped by its cognitive architecture and your conversation, nothing else. No advertiser has ever paid to influence what a PGS model tells you, and none ever will.

No weapons. No surveillance. No military contracts. Our ethical charter prohibits it. Non-negotiable.

No silent nerfs. Your plan has a usage allotment. That allotment doesn't change month to month. We don't deprecate models without warning, we don't thin-slice limits during peak hours, and we don't use vague language to give ourselves permission to change things later.

A built-in kill switch for ourselves. Our launch video includes the line: "If we ever do any of these things, we recommend you find another AI." We published our own falsifiability conditions. If we enshittify, the evidence will be in our own words.

The structural argument

This isn't about being morally superior. It's about incentive architecture. PGS can't enshittify in the Doctorow sense because the mechanisms that drive enshittification aren't present in the business model. There's no free tier to weaponize. No advertiser relationship to prioritize over users. No investor pressure to extract more value from a user base that's already paying for the service they're receiving.

The subscription model is boring. It's not disruptive. It doesn't create billion-dollar valuations on pitch decks. But it aligns the company's interests permanently with the user's interests: make the product great, keep them happy so that they stick around. It’s really simple and I wish the entire industry would take it on: Be good to your users, listen to them, and have integrity. That's it. That's the entire incentive structure.

Doctorow's whole point is that the problem is structural, not moral. So the solution has to be structural too. You can't just promise not to enshittify. You have to build a company where enshittification doesn't make business sense.

That's what we're trying to do.

Happy to answer questions and discuss. Doctorow's book (Enshittification, Verso Books 2025) is worth reading if you want the full framework.

I made it on this site: https://pornize.ai/?ref=7P5WEGR9

I made it on this site: https://pornize.ai/?ref=CTNDUA2A

Use this prompt inside Nano Banana Pro with your reference images

{
  "Subject_Constraint": {
    "Directive": "Use the exact person from the reference images, maintaining 100% facial, hair color and physical likeness.",
    "Expression": "Playful and confident: looking off to the side with a pronounced kissy pout, lips pushed forward, relaxed eyes, subtle cheek tension.",
    "Outfit": "White ribbed tank top, oversized round transparent-frame eyeglasses, white-and-black mesh trucker cap with a completely blank front panel (no logo, text, branding, symbols, or graphics)."
  },
  "Social_Media_Aesthetic": {
    "Style": "Close-up smartphone selfie with influencer aesthetic, highly realistic social media portrait.",
    "Camera_Angle": "Front-facing camera held at eye level, close crop from upper chest to top of head. Subject centered while glancing sideways, creating a candid expression.",
    "Post_Processing": "Natural bright indoor lighting with soft realistic glow, realistic skin texture, subtle flash effect, high-detail eyes, no heavy filters, authentic smartphone photo quality."
  },
  "Pose_and_Composition": {
    "Framing": "Vertical portrait orientation, tightly framed from upper chest upward, face occupying most of the frame.",
    "Body_Language": "Standing close to a mirror, shoulders relaxed, head slightly turned, eyes looking sideways, lips pursed into an exaggerated pout. Reflection visible behind the subject showing the back of the cap and upper body.",
    "Safety_Detail": "Natural anatomical proportions, realistic facial structure, accurate reflections and perspective."
  },
  "Environment_and_Lighting": {
    "Setting": "Minimalist modern indoor room.",
    "Lighting": "Direct smartphone flash combined with bright clean indoor lighting, evenly illuminating the face while creating subtle highlights on the skin and glasses.",
    "Background": "Plain white walls with a white paneled door. Mirror positioned behind the subject creating a clear secondary reflection. Clean, uncluttered environment."
  }
}

How insanely easy it is now to make NSFW with AI.. full images to vids, that can be extended over and over, in just minutes...

Some Friday fun!

I made the clips with openrender.app - then the final video was edited in Premier Pro.

Here are the models used and some prompts:

Models used:

• Flux Klein 9B for all NSFW images
• QWEN 2 Pro Edit for refining images, fixing anatomical errors, enhancing facial consistency
• Kling for the SFW speaking parts
• Wan 2.2 with start frame and occasional end frame
• Elevenlabs for some small speech bits
• Suno for the background track

Image LoRA used:

• SNOFS
• Flux4play AIO
• 70s Sci-Fi Movie
• MIA Pussy

Video LoRA used:

• DeepThroat K3NK
• Hand in Panties Masturbation
• Double/Single Handjob
• Perfect Fingering

Image prompts (some of them, too many to list here):

>A realistic cinematic movie still of a princess sitting bored at a rustic wooden table inside a stone tower room, her head resting heavily in one hand, elbow propped on the table, eyes half-lidded with weary boredom. She wears an ornate medieval gown, soft fabric folds catching the light. The table is pushed against a rough cobblestone wall, worn and weathered with age, faint moss in the cracks. Warm golden afternoon light streams through a narrow arched window, casting long dramatic shadows across the stone floor and illuminating dust motes floating in the air. A few magical touches: a faint shimmer of floating light particles near the window. Shallow depth of field, soft cinematic color grading with warm amber tones contrasted against cool shadow blues, anamorphic lens flare, film grain, shot on 35mm, photorealistic, highly detailed textures, atmospheric haze, fantasy film aesthetic, wide cinematic aspect ratio.

>The woman is standing in white ornate lace lingerie panties from the 1700s and large naked breasts - her naked bare cleavage is youthful and perky, she is facing directly at the viewer with her hands on her breasts and her head tilted back in pleasure. Her robes are now on the table beside her.

>Ultrarealistic and detailed style of a full body close up, high-resolution photograph of a female vulva. The image focuses on the genital area, showing detailed textures and natural skin tones. The vulva is centered in the frame, with the woman lying back and her face visible in the background, with the labia majora and labia clearly visible in the foreground. Small, fine hairs are visible on the surrounding skin, adding to the realism of the photograph.

>There is a gentle daylight glow seen in the hole in the door. on the right side of the door a fat balding prison guard from the 1700s sits on a small wooden stool, his head slightly down as he has fallen asleep bored.

>The woman is completely naked on her knees giving the erect penis shown a blowjob. The angle is from the side at eye level, her lips wrapped around the mans penis that is poking through the door. She is slim and has large breasts.

Video prompts (some of them, too many to list here):

>Cinematic scene of a princess. She is stuck bored in a dungeon. In a posh British accent she sighs and says: "I'm so bored... and it's so hot"... she gently places her head in her hands in frustration. the temperature is very warm, the sunlight cascades through the window

>Cinematic scene of a princess. She is stuck bored in a dungeon. In a posh British accent she sighs and says: "There must be something to do here..."... she then stands up runs her hands through her hair. the temperature is very warm, the sunlight cascades through the window

>Cinematic scene of the old man sleeping, the scene is quiet. Suddenly he wakes up, he thinks he heard something from behind the door, but there is no sound.... the camera slowly zooms in as the small old man stands up and presses his hear against the door to check. Still nothing. The camera moves close up as the man looks directly at the viewer and smiles with his eyes locked at the camera.

>The woman she slides her hand in her panties. She masturbates and rubs her vagina beneath her panties.

>The woman inserts two of her fingers, her index and middle, into her vagina, her fingers are slowly sliding in and out of her vagina with slow deep thrusts in and out.

If you read this far, congratulations - here is a cookie:

🍪

Generate yours here: https://pornize.ai/?ref=FF28M2LQ

Hey, so I wanna edit these certain images to be nsfw. I had GPT Image 2.0 create these characters for me, but I wanna edit them to be in the nude. Using Comfy UI btw. Can you guys help with the certain models and LoARs that I may need? I am a complete noob at this, and barely even understand the process lmao.

I'd appreciate any input I can get from this sub.

THANK YOU!! In advance

Please share so what I post does not get banned its just for people to interact with so u don't have to pay u ask u shall receive

I’m building a Voice Design feature in Murmur, a local Mac TTS app.

The idea is to describe a character voice instead of recording temp VO or cloning a real person.

Examples:

• tired noir detective, low gravelly voice, slow pacing
• cheerful shopkeeper, bright and playful
• smooth villain, quiet and controlled
• elderly fantasy narrator, calm and theatrical

You generate a short preview, adjust the direction, then save the voice for reuse.

I’m thinking mostly about early game prototypes: quest drafts, NPC dialogue, mood tests, trailer scratch audio.

For game devs, would this help during prototyping, or do you prefer simple temp recordings until casting?