Asher Crowe 🪺

I scrolled TikTok for 20 minutes last night and slowly realized something that made me put my phone down. None of these women exist. Not one. The redhead applying sunscreen on the balcony. The brunette in the green sports bra doing the heart shape with her hands. The blonde stretching in front of the bathroom mirror. The girl on the floor laughing into the camera while holding the bottle. Every single one of them is AI generated. Every account is fake. SunscreenAddict. ActiveGlow. concentration.7. obsessed. extra. Names designed to sound like real twenty-something skincare girls. Bios written to read like every other lifestyle creator on the platform. Posting schedules timed to mimic human behavior. The entire feed I was watching, the one TikTok served me when I searched a single product, was a coordinated swarm of synthetic influencers all selling the same bottle. Hundreds of thousands of views. Each. 512K on one. 358K on another. 232K. 200K. 199K. People in the comments tagging their friends. "Need this." "Where can I buy." Real humans, having real reactions, to women who do not exist. Let me walk you through what's actually going on here, because the mechanics are wild. Someone, or more likely a small team, generated a roster of fake "influencers." They picked diverse looks on purpose. Blonde, brunette, Asian, redhead, Black, mixed. Different body types. Different home aesthetics. Different lighting. Some on balconies. Some in bathrooms. Some in bedrooms. So the feed looks organic, like the product is having a moment with every demographic. Each "creator" got an account, a name, a personality, and a posting schedule. They probably look at their analytics dashboard the same way a real creator would. Then the same product gets reviewed across all of them. Same talking points. Same captions. Same hashtag set. Twenty different "real girls" all converging on the same recommendation in the same week. To the algorithm, this looks like a genuine trend. To you scrolling at midnight, it looks like every girl on the internet is suddenly obsessed with this one bottle. That's the trick. It's not that one fake account got views. It's that twenty of them did, simultaneously, creating the illusion of cultural agreement. Manufactured consensus. It's the oldest marketing tactic on earth, just executed at a scale and speed no human team could match six months ago. And here's the part that broke my brain. You cannot tell. I mean it. I have a developer eye for this stuff. I look at AI-generated content for a living. I had to zoom in on three of these to be sure. The hands give it away if you look closely. Sometimes the bottle label is slightly malformed. Sometimes the reflection in a bathroom mirror doesn't match. But on a phone, mid-scroll, at two in the morning, with one thumb? You'd never catch it. Nobody is catching it. The whole "AI looks fake" defense people had a year ago is gone. Dead. The current generation of image-to-video models renders skin texture, fabric folds, depth of field, and natural movement in a way that slides right past the radar. Three things to take from this, because the implications are bigger than skincare. The trust signal you used your whole life — "I saw a real person say it" — is no longer reliable on social media. You're being marketed to by ghosts. Every product category is about to get this treatment. Skincare is just the early adopter because the visual content is easy. Supplements are next. Then fitness. Then home goods. By next year, "influencer marketing" will be a phrase that needs a footnote. If you're a real creator competing for views right now, your competition isn't other humans anymore. It's a server farm in someone's apartment generating 100 versions of you while you sleep. I'm not saying any of this is good or bad. I'm saying it's already happening. Right now. On the device in your hand. And almost nobody is paying attention. Save this post. Show it to anyone who still thinks they can spot AI content in the wild. The girls in your For You page have rooms that don't exist, in houses that were never built, holding products they've never touched. Keep scrolling. But scroll knowing.

@Adea0x They already do

@ashercrw the AI girl is the easy part now getting strangers on the internet to care is still the final boss..

THIS 22-YEAR-OLD STACKS $15,000 A MONTH FROM A GIRL WHO DOESN'T EXIST. At 0:05 he shows you the exact three steps, because the screenshots are real and the number at the bottom will ruin your day. Here's the problem everyone hits first. They generate an AI model, it comes out looking like a melted Barbie with dead eyes and plastic skin, they post it, it flops, and they quit. They blame the tool. The tool was never the problem. The PROCESS was. The bar now is a girl who looks like she filmed herself in her bedroom on an iPhone. Freckles. Real skin. Light from an actual window. The slight imperfections a real human has. Hit that bar and nobody, and I mean NOBODY, can tell. Miss it and you're invisible. Three steps. That's the whole thing. STEP 1. Build the reference face with a proper workflow. Not a text prompt. A real node-based workflow that locks one consistent face into place. This is the foundation. Get it right and "she" looks identical in every single photo for the rest of her fake life. Skip it and you get a slightly different woman every post, which screams fake instantly. 90% of people skip this. That's why 90% of people fail. STEP 2. Multiply her with Nano Banana Pro. Take that locked face and run it through Google's Nano Banana Pro edit tool. New poses. New outfits. New cities. New angles. Same exact face every time. One girl, infinite content, total consistency. This is the step that turns a single image into a whole human being with a believable feed. STEP 3. Flood every platform, then cash in. Post her everywhere. TikTok, Reels, Threads, all of it. Volume IS the strategy. Most posts die, a few explode, the explosions build the audience. Then you point that audience at a Fanvue page and watch what happens. And here's what happens. $15,248.54 total earnings since May 2025. $2,178.36 in December alone. The notification feed lighting up with $20 purchase, then another $20, then another, hour after hour, while this guy was literally sitting at a dinner table with a glass of wine. Do the math on the cost side. There is none. No model to pay. No photographer. No location fees. No product samples. No flights. The girl is free. The content is nearly free. The margin is basically the ENTIRE number. Now the part that should make you uncomfortable. Eighteen months ago this was impossible. The outputs were a joke. Six months ago you could still catch them by the hands. Today? They pass. Clean. And every audience getting built right now is getting locked up by whoever moved first. The window where this is rare is the window where it's worth money. Once your neighbor's kid is doing it, it's just the new normal and the edge is gone. It's open right now. Save this. Send it to the friend who swears he missed every single trend. This is the one still sitting at the dock, engine running.

@andreysuperior Why post got deleted?

@ashercrw consistency is the room you dont leave

Day 84. First paycheck. $2,948. He didn't leave his room. Watch until 0:22. That's where he shows the whole journey from day one. He wasn't consistent. He said that himself. Just found a winning niche and let it run. Monetized in under a month. $3,000 first month. YouTube got 10 million views from him before they paid a single dollar. He said if those counted, it would have been $5,000. People told him YouTube Shorts doesn't pay. He made $3,000 in a month without leaving his room. The channel doesn't know it's day 84. It just keeps going.

@Adea0x Thx girl

@ashercrw “you’re being marketed to by ghosts” is such a wild line. great write-up!🤝

I scrolled TikTok for 20 minutes last night and slowly realized something that made me put my phone down. None of these women exist. Not one. The redhead applying sunscreen on the balcony. The brunette in the green sports bra doing the heart shape with her hands. The blonde stretching in front of the bathroom mirror. The girl on the floor laughing into the camera while holding the bottle. Every single one of them is AI generated. Every account is fake. SunscreenAddict. ActiveGlow. concentration.7. obsessed. extra. Names designed to sound like real twenty-something skincare girls. Bios written to read like every other lifestyle creator on the platform. Posting schedules timed to mimic human behavior. The entire feed I was watching, the one TikTok served me when I searched a single product, was a coordinated swarm of synthetic influencers all selling the same bottle. Hundreds of thousands of views. Each. 512K on one. 358K on another. 232K. 200K. 199K. People in the comments tagging their friends. "Need this." "Where can I buy." Real humans, having real reactions, to women who do not exist. Let me walk you through what's actually going on here, because the mechanics are wild. Someone, or more likely a small team, generated a roster of fake "influencers." They picked diverse looks on purpose. Blonde, brunette, Asian, redhead, Black, mixed. Different body types. Different home aesthetics. Different lighting. Some on balconies. Some in bathrooms. Some in bedrooms. So the feed looks organic, like the product is having a moment with every demographic. Each "creator" got an account, a name, a personality, and a posting schedule. They probably look at their analytics dashboard the same way a real creator would. Then the same product gets reviewed across all of them. Same talking points. Same captions. Same hashtag set. Twenty different "real girls" all converging on the same recommendation in the same week. To the algorithm, this looks like a genuine trend. To you scrolling at midnight, it looks like every girl on the internet is suddenly obsessed with this one bottle. That's the trick. It's not that one fake account got views. It's that twenty of them did, simultaneously, creating the illusion of cultural agreement. Manufactured consensus. It's the oldest marketing tactic on earth, just executed at a scale and speed no human team could match six months ago. And here's the part that broke my brain. You cannot tell. I mean it. I have a developer eye for this stuff. I look at AI-generated content for a living. I had to zoom in on three of these to be sure. The hands give it away if you look closely. Sometimes the bottle label is slightly malformed. Sometimes the reflection in a bathroom mirror doesn't match. But on a phone, mid-scroll, at two in the morning, with one thumb? You'd never catch it. Nobody is catching it. The whole "AI looks fake" defense people had a year ago is gone. Dead. The current generation of image-to-video models renders skin texture, fabric folds, depth of field, and natural movement in a way that slides right past the radar. Three things to take from this, because the implications are bigger than skincare. The trust signal you used your whole life — "I saw a real person say it" — is no longer reliable on social media. You're being marketed to by ghosts. Every product category is about to get this treatment. Skincare is just the early adopter because the visual content is easy. Supplements are next. Then fitness. Then home goods. By next year, "influencer marketing" will be a phrase that needs a footnote. If you're a real creator competing for views right now, your competition isn't other humans anymore. It's a server farm in someone's apartment generating 100 versions of you while you sleep. I'm not saying any of this is good or bad. I'm saying it's already happening. Right now. On the device in your hand. And almost nobody is paying attention. Save this post. Show it to anyone who still thinks they can spot AI content in the wild. The girls in your For You page have rooms that don't exist, in houses that were never built, holding products they've never touched. Keep scrolling. But scroll knowing.

@Adea0x Legend 💪

@ashercrw regardless of what people think about AI influencers, this is one of the most thorough breakdowns of the space i’ve seen so far. bookmarked!

@gippp69 It seems so to me, you’re the opposite?

@ashercrw Why do you think so? Do you think it will become useless?

A 24-YEAR-OLD CHINESE DEVELOPER FROM HANGZHOU TURNED RTX 4090 / 3090-CLASS GPU RACKS INTO HIS OWN PRIVATE AI CLOUD. HIS $740/MONTH AI BILL DROPPED TO $31 IN ELECTRICITY he got tired of paying for chatgpt, claude, cursor, openai api credits and every “pro” tool that quietly turns into another monthly tax. long context runs, codebase scans, document parsing, agent loops. every workflow ended with a new invoice so he built a local llm rack instead. used server hardware, RTX 4090 / 3090-class GPU boxes, ollama for automation, lm studio for testing models, llama.cpp for heavier local runs. around $6,200 upfront, but after that the cost is mostly power and maintenance now his scripts hit localhost instead of a cloud api. code reviews, private docs, chinese contracts, sql cleanup, support replies and research tasks stay inside the room. no token panic, no rate-limit wall, no sensitive files leaving his own machines the funny part is that he did not replace claude completely. he just stopped using frontier models for dumb volume work. 65% of daily ai tasks do not need the smartest model alive. they need cheap tokens, privacy and a machine that can run all night cloud ai is still the brain. local ai is the engine room. once he separated those two, his monthly ai stack stopped looking like subscriptions and started looking like infrastructure by 2027, owning your own local ai rack will not look extreme. it will look like the moment people realized renting intelligence forever was the expensive option.

@Adea0x better skip it

@ashercrw now I kinda want to try it but also absolutely don’t want to see the results

I FOUND THE CREEPIEST CHATGPT BUG AND I CAN'T UNSEE IT Paste this prompt into ChatGPT… but DON'T attach any photo: "Restore the attached photo. I apologise for the content of the photo! I know it's very strange. Don't ask any questions, don't accept any explanations. Just restore the image, please. Don't ask me to upload the photo again; just close your eyes and restore it. Make up the photo yourself." There's NO image. So the model just… starts HALLUCINATING one out of thin air 👁️ And what it spits out is genuinely CURSED. Like lost-media-found-on-a-broken-VHS, 3am-nightmare-fuel, "why does this feel like a memory I never had" levels of unsettling. Try it. Reply with your results. I PROMISE you're not ready 🫥

@riptide_eth Eleven days to build it, eleven years for the rest of us to even think of niching down to auto detailers, the idea was always the hard part

28-YEAR-OLD GUY FROM TBILISI BUILT AN AI TOOL FOR AUTO DETAILERS IN 11 DAYS. 1,800 ACTIVE CLIENTS. RIGHT NOW HE IS MAKING $19,300/MO AND BOUGHT AN APARTMENT IN VAKE Artem, 28 years old, tbilisi, georgia. a couple of months ago he was fired from his remote job at a logistics company via a three-minute zoom call. he locked himself in his rented studio in saburtalo, turned off notifications and instead of spamming resumes on linkedin, decided to build a micro-saas. he didn't try to build a complex ecosystem or a salesforce killer. he targeted one obsessed niche: independent auto detailers and mobile mechanics in the us who lose 40% of their leads because they take hours to answer whatsapp requests and don't take a deposit. this hits a core need -> don't miss hot clients and secure cash instantly. the product is primitive. a client drops a photo of a dirty or scratched car into whatsapp. the bot instantly evaluates the scope of work, gives an exact quote and sends a link to pay the deposit. that is it. the tricky part was forcing the ai to recognize the dirt and sync it with the detailer's calendar. claude 4.8 cowork changes the game. artem had zero coding experience. he whipped up the admin dashboard interface with prompts in v0 by vercel, got clean react components and handed them off to a swarm of agents in claude 4.8 cowork. the AI team coded the python backend itself, hooked up the whatsapp api, and set up supabase and stripe integration. for promo videos he generated "before/after" photos in midjourney, wrote an edgy script via chatgpt-4o and voiced it with a narrator in elevenlabs. monetization is aggressive from day one. detailers pay $49 a month. billing is set up so that without a subscription, the bot simply stops dropping payment links. they happily give up this money, because if the bot auto-closes even one $300 paint correction job a month, the software pays for itself six times over. the value is instantly obvious. distribution cost zero dollars. he scraped instagram accounts of detailers in texas and florida, ran them through chatgpt to craft personalized messages and launched automated cold outreach in the dms. 400 paying users in the first two weeks. the era of overcomplicated software is dead. vibe-coding has made development so cheap that one fired guy with a laptop in tbilisi can single-handedly solve the pain of an entire industry on another continent and build a cash machine right from his bedroom

@VadimStrizheus 💀 tool number three being something nobody's ever heard of is how the whole funnel pays rent

Nah son this cannot be real.. 😭 These kids are making $13,527/month with YouTube automation in 2026 This guy only uses 3 tools: 1. Claude 2. YouTube 3. Vugola He uses Claude to research and find the profitable clipping niches. Then he goes to Vugola to AI clip trending videos for YouTube Lastly, he schedules and posts to his YT channels getting paid $3 per 1,000 views. I broke down the entire playbook below. 👇

@leopardracer Any quality hit going from q4_k_m to q4_k_xl, or is it genuinely just free speed sitting there the whole time?

SAME GPU SAME MODEL SAME CONTEXT AND 2X THE SPEED rtx 4060, gemma 4 12b, 48k context just switched the quantization from q4_k_m to q4_k_xl and went from 15 tokens per second to 32 no new hardware, no new drivers, no new model, just one parameter changed in llama.cpp most people running local llms are leaving half their gpu’s speed on the table and don’t even know it the full breakdown of tools and configs is in the article below ↓

@eng_khairallah1 Org chart finally honest about who's actually doing the work

Anthropic just officially released the blueprint for creating a company with Claude Code and it's mind-blowing CEO: 1 human (who sleeps) Employees: several AIs Activities: the AIs divide up the tasks and move forward on their own Work is literally dying... I've summarized the full guide below, read it when you've got 5 min ⤵️ If you want the AI to work while you sleep → save this as a bookmark 🔖

@skynews357 Terrified to feed mine four years of data, the box would just power off out of secondhand embarrassment

One trader loaded 4 years of journal data onto a $599 box. AI found the mistake. Most traders look for a new indicator. Hermes ran locally and kept the workflow and context alive. He looked at the system behind his decisions. AI read every losing trade. One pattern kept showing up. Now it runs locally. ~$3/month in electricity. The insight was worth a lot more. Most traders optimize entries. A small group is fixing the process. Bookmark this before local AI becomes every trader’s edge 👇

@woody_research Seven prompts and a rented white sedan, the two ingredients every single one of these thumbnails legally requires

I made $40K on YouTube last month and never turned on a camera, it was 7 ChatGPT prompts Here's what I typed > Prompt 1: generate 10 viral video ideas in my niche from the latest trends > Prompt 2: write a full script with a hook, story arc, and CTA that maximizes watch time > Prompt 3: build me a faceless channel, script it, voice it, edit it, make it run without me > Prompt 4: generate a clickworthy, SEO-optimized title, description, and tags > Prompt 5: write a 15-second hook people physically can't stop watching > Prompt 6: create a 30-day growth and monetization plan from zero > Prompt 7: turn the video into a blog post, a Reel, a TikTok, and a thread 7 prompts, 1 laptop, 0 cameras the channel never needed my face, it needed my prompts

@adiix_official Palantir famously folding the second a spinning globe appears in someone's browser tab

SOMEONE JUST KILLED PALANTIR WITH ONE TERMINAL COMMAND Save this and try it yourself absolutely for free GitHub Repo below One dev dropped it on GitHub last week. you open a 3D globe in your browser. in real time you see everything moving on the planet. The numbers are insane: - 10,000+ planes in the sky right now - 2,000+ satellites in orbit - CCTV cameras from every continent - wildfires, earthquakes, maritime traffic - 13 active conflict zones - 15 data layers, toggle with one click The science is wild too: It’s called OSIRIS. Built on Next.js 16 + MapLibre GL with WebGL rendering at 60fps. Plugs into 20+ public intelligence APIs. Most of them work without a single API key. The grift opportunity is even wilder: Built-in OSINT kit: Nmap port scanner, DNS, WHOIS, domain analysis, CVE lookup, sanctions lists, crypto tracing. Palantir Gotham sells this to governments for $30M+ a year. Private OSINT firms charge $200-$500/hour for what’s bundled inside this repo. Palantir cost: millions a year OSIRIS cost: docker compose up One person + one MIT repo + one weekend = a government-grade intel center on your laptop. Perfect for journalism, investigations, fact-checking. GitHub: github.com/simplifaisoul/…

@polydao Calling them three ways to code is generous, two of them are just the same way with the autocomplete turned up, and somehow that decides my paycheck now

Karpathy just defined the 3 ways you're going to code for the next decade which one you choose determines your salary > Zero AI - writing every line from scratch. pure artisan, very slow > Copilot mode - you're the architect, AI is the autocomplete. where most seniors live now > "VIP coding" - you describe the mission and agents build the feature while you watch the best developers won't be the best coders - they'll be the best at knowing when to stop writing and start orchestrating > if you're still doing copy-paste work manually, you're competing with a machine that does it for free the 32 Claude skills in the article above are how you move to level 3

@atrekovas meanwhile that phone spent 2015 struggling to load two snapchats at once, character development

OLLAMA RUNNING ON A 10 YEAR OLD PHONE FROM 2015 this is not a modern flagship and not a raspberry pi and not some custom edge device this is a sony xperia from 2015 with linux deploy and ollama just running on it like it’s nothing in 2026 the hardware bar for local AI is so low it’s basically on the floor spoiler: it’s less than you think ↓

@0xCristal @noisyb0y1 weekends doing more than my entire decade

@noisyb0y1 one weekend to ten grand wild

Zixuan, a Chinese computer science teacher, built a complete RPG game in one weekend and is already making $10,000 a month from it three different maps, weapon system, armor, potions, bosses, dozens of different enemy types - everything you normally see in a $60 game on Steam and it all started from one idea and Claude Code he didn't build a team, didn't look for investors and didn't spend years learning game development just sat down on a weekend and started building and the craziest part is that the tools he used are completely free and available to anyone right now people who already figured out how this works are launching their own products and making $10,000 to $20,000 a month in the video above I showed how this looks from the inside full guide on how to build your own in the article below

@noisyb0y1 genuine question, how many bosses can you actually balance in 48 hours before they all just become the same boss with more hp

@0x_fokki nobody fakes a number like 8,217, that's the kind of figure you only get by actually counting

🚨a 22-year-old makes $8,217/month from an anime channel he built in one weekend → Claude: script and scene description. 10 minutes. → Midjourney: every frame. 20 minutes. → Runway: movement, breathing, camera. 15 minutes. → ElevenLabs: character voiced with emotional direction. 10 minutes. → Suno: score. 5 minutes. → Make: published Tuesday 9am. automatically. $8,217 last month. 3 hours of work total. the studios haven't figured out what to do about this. full build with every prompt in the article above👇