Kairo

@georgesttock Üretmek ucuzladıkça dağıtım daha değerli hale geliyor

If you're not doing this yet, you're leaving money on the table. Animation-style ads are scaling fast — and with our new feature, making them is stupidly easy. - Reference video - Claude prompt - Product image - All for $1 Clones backgrounds, typography, zooms, cut rhythm, and pacing, then swaps in your product, your face, your voice. I made a step-by-step guide on how to build these. Comment "EDIT" and I'll DM it

@arc_courier Gerçeklik değil. İkna gücü değer kazanıyor

250,000 followers. $10,000 in six weeks. Hundreds of men trying to meet her. She was never real. No photoshoot. No model. No beach. Every video was generated by AI. The face stayed consistent. The hair moved with the wind. Sunlight danced on the water. Two years ago, you would’ve spotted the fake. Today, the fake gets paid — and the real person is optional. Soon, “I saw it with my own eyes” won’t mean anything. Build the machine that captures it ↓

@0xTria Teknoloji ucuzluyor. Duygu hâlâ rekabet avantajı

🚨 an anime studio spends $180,000 on a single episode just to make a girl on screen feel "alive" a student did this with a free AI app and a curved monitor no studio floor no mocap suit no 80-person pipeline > prompt the character: 2 minutes > generate the reach-out shot: 8 minutes > composite hand through glass: 5 minutes > post: 0 minutes studio needs voice actors, lighting, render farms, and a year of preproduction for one emotional beat he needs a keyboard and the courage to grab her hand

@0xbobaaa İnsanlar fikre değil. Kanıta inanıyor

half of you will look at this and see a genius the other half will see an unemployed cs major waving his hands at a laptop you're both right, and that's exactly why he's going to win he wrote a python script that turns his webcam into a dj deck. left hand pinch = speed. right hand = pitch. hands apart = volume. no midi controller, no app, no hardware. just hand tracking and 200 lines of code everyone laughing at "pov: cs major and unemployed" is missing the part where he can now build any physical interface out of thin air. air guitar that actually plays. gesture control for anything. a $0 version of hardware that costs hundreds the gap between "this is a joke" and "this is a skill" is one working demo so which one are you looking at comment if you'd actually use this

@kardinall Tartışma dikkat getirir. Güven ise kalıcılık

A 28-year-old guy from Valencia came up with a nonexistent girl, made her an auto mechanic who works on JDM cars, and within eleven days his income exceeded $7,777. Days to the first $7,777 Current expenses: $120 a month Followers on the account he cloned: 8,754 Instead of chasing looks, he picked an interesting profession that attracts men. In the video above, the girl personally pulls the steering rack out of a Miata, and 5,996 people liked it, with 692 sharing the post. Instead of hoping for reach, he buys into men arguing about whether the teardown was done correctly. Anger is watch time, and the algorithm can't tell the difference between the two. He matches the face to the interesting work. Two real faces from Pinterest, merged into a third an auto mechanic girl who never existed. He gave her attractive clothes, a nice garage, so she'd come across as a specific real person. The key is a popular job paired with popular vehicles. Anyone can find their model a job. From there, it's up to you to decide exactly what your model does.

@RegalosDigitals Rekabetin az olduğu yerlerde mükemmel olmak gerekmez

Un chico de 21 años de Brasil creó una chica trabajadora de la construcción con IA, y 764 hombres compraron una suscripción de pago para verla. Precio de la suscripción: $9.99 Ingresos totales: $7,632 Inversión: $200 gastados en Claude para la generación Eligió un nicho que no estaba saturado y tomó la decisión correcta: la personalidad de "chica de la construcción" realmente captó la atención de los hombres. Al principio, publicó videos de ella en TikTok, y una vez que construyó una audiencia, empezó a promocionar su página de Fanvue, donde se alojaba la suscripción de pago (y algo de contenido ligeramente diferente, si sabes a qué me refiero). Le tomó 37 días configurarlo todo. Recuperó fácilmente su inversión y alcanzó un beneficio sólido. La IA es una herramienta útil, pero ante todo, necesitas tener una buena imaginación.

@crimson_moti Gerçekçilik detaylarda değil. Tutarlılıkta oluşuyor

A GIRL IS DANCING IN HER LIVING ROOM NEXT TO A TEDDY BEAR AND YOUR TIKTOK CREATOR JUST BECAME OPTIONAL. She does a peace sign. Smiles at the camera. Green shirt. Sputnik chandelier above her. Teal couch behind her with a teddy bear and a yellow cushion. It looks like every apartment dance video you've ever scrolled past. Then the outfit changes. Plaid shirt. Denim shorts. Boots. Hair in a bun. Same room. Same chandelier. Same teddy bear on the same couch. She keeps dancing. Then it changes again. Green crop top. Grey cargos. Hair down. Again. Pink top. White jeans. Long ponytail. Four outfits in nine seconds. The teddy bear didn't move once. That teddy bear is the whole point. The chandelier stays. The cushion stays. The dining table in the background stays. Every single detail in that room holds while the girl swaps outfits four times. A year ago AI couldn't keep a face consistent across two clips. This one kept an entire apartment consistent across four wardrobe changes while the character danced through all of them. HERE'S WHY THIS LIVING ROOM MATTERS MORE THAN EVERY STUDIO SHOOT ON YOUR TIMELINE. The highest-performing content on TikTok is not studio content. It's bedroom content. Living room content. "I just got home and tried on four outfits" content. Brands pay UGC creators $200 to $500 per video to film exactly this format in their own apartments because it feels real. This clip is that format with zero creator, zero apartment, and zero day rate. Pause at 0:03. The plaid shirt. Look at the boots. Look at how the bun sits differently than the ponytail three seconds later. A UGC creator takes twenty minutes between outfit changes. This persona did four in nine seconds. The brands paying $500 per UGC video are paying for the apartment, the chandelier, and the teddy bear. The feeling of a real girl in a real room doing a real trend. This clip delivers all of it and the girl never existed and the room never existed and the teddy bear never sat on that couch. Watch it again. Look at the teddy bear. It doesn't move. That's how you know the room is locked and the creator is optional.

@ashercrw AGI'nin değeri tek başına çalışması değil. Ne zaman insana ihtiyaç duyduğunu bilmesi

@x0Kairo That’s the whole point of AGI

GURUS SWEAR YOU NEED TO BURN $300-400 A MONTH ON GENERATION SOFTWARE AND SERVERS TO RUN AN AI MODEL. ONE OPERATOR CUT THAT TO $120 A MONTH AND ACTUALLY PRODUCED MORE CONTENT, 60+ VIDEOS IN A SINGLE CHEAP SITTING. The savings weren't from a cheaper tool. They were from a smarter workflow. Here's the exact method. Generation cost is where beginners hemorrhage money for no reason. The expensive setup the gurus push is wildly inefficient if you know how to batch. Here's how to slash it. Why the expensive setup is a trap: > Gurus claim you need $300-400+ a month on premium generation software and servers. That number assumes you're generating inefficiently, from scratch, every single day. > Daily from-scratch generation is the most expensive, slowest way to produce content. You're paying for compute you don't need and burning hours you don't have. > Optimized, a RunPod server should cost you $100-150 a month maximum. Anything above that means your workflow is the problem, not the tooling. The batch method that cuts cost: > Stop generating from scratch every day. That's the single most expensive habit in the pipeline. > Rent a RunPod server for one hour. Take a real video of yourself or a friend, face-swap your AI model onto it, and generate a whole month of content in that one sitting. > One cheap hour produces 60+ videos. Real human motion as the base means better realism than from-scratch generation, and you're only paying for an hour of compute instead of daily runs. Why this beats daily generation on every axis: > Cost: one hour of server time a month versus continuous daily runs. That's the $120 versus $400 difference right there. > Realism: face-swapping onto real footage gives you authentic human movement that pure generation struggles to match. Better output, lower cost. > Time: batch a month in one sitting and you're free to spend the rest of your time on distribution and monetization, where the money actually is. The core principle is that you don't need expensive software, you need a batch workflow. Rent a server for one hour, face-swap your model onto real video, and produce 60+ videos for $100-150 a month total. The gurus selling $400 setups are selling inefficiency. Batch once, generate a month, and put the saved $250 toward more accounts or a chatter. What's your current monthly generation spend, and are you batching a month at a time or still paying to generate from scratch every day?

24 yaşında bir yayıncı 7 günde 8.400 dolar kazandı. Canlı yayında kendi yüzünü değiştirdikten sonra. Ve sohbetin yarısı hâlâ onun gerçek bir kız olduğunu savunuyordu. Guangdong'lu bu genç, kısa videonun en kötü ürününe sıkışmıştı: kendi gerçek yüzü. Aynı oda, aynı telefon, aynı 4 saatlik yayınlar. Ortalama gecelik hediye geliri: 30 ila 80 dolar. Sonra bir yorum düştü. Bir kızın fotoğrafı ve tek bir satır: "变成我好吗" yani "benim gibi ol". Bir yüz ve vücut değiştirme uyguladı. Kendi zamanlamasını ve jestlerini korudu. Tek bir kadın kimliğini sabitledi, böylece hesap bir filtre demosu değil, gerçek bir insan gibi hissettirdi. Karakterle geçirdiği ilk tam gece yaklaşık 1.100 dolar hediye getirdi. Üçüncü güne kadar sabit bir görünümü, 9 saniyelik bir giriş döngüsü ve katı bir kuralı vardı: ana hesapta karakteri asla bozma. İlk haftanın sonunda, canlı hediyeler artı aynı yüzün 9,99 dolarlık bir Fanvue kopyasıyla kabaca 8.400 dolardaydı. Araç maliyeti 40 doların altında kaldı. Duvara dayalı yatak yerinden kımıldamadı. Sadece ekrandaki ürün değişti. Değişen şey "AI sihri" değildi. Birim ekonomisiydi. Rastgele bir erkek yüzü, düşük gelirli bir eğlencedir. Tutarlı ve güzel bir kimlik ise, platformların insanları bahşiş vermeye çoktan alıştırdığı bir parasosyal bankamatiktir. Eskiden oyuncu seçimi, makyaj ve ikinci bir kameraman kapıydı. Bu klip, o kapının gerçek zamanlı açılışı: yorum, morph, dans, para. O, sanat satmıyor. Asla iptal etmeyen, algoritmada asla yaşlanmayan ve bir gecede baştan stillenebilen bir insan satıyor. Çinli uygulamalarda operatörler bunu aylardır sessizce yapıyor. Batı akışları ise hâlâ çoğunlukla morph'a gülüyor. Retainer'ları, hediye döngülerini ve özel aboneliği fiyatlamak yerine. Kaydet, kaybetme. Sen bu kimliği ilk hangi nişte kurardın?

@kocer_eth Güç arttıkça izolasyon lüks değil. Gereklilik oluyor

A MAC MINI TURNED ONE AI AGENT INTO A SEPARATE BLAST RADIUS BEFORE IT EVER TOUCHED HER MAIN LAPTOP She opens the box in the same clip where OpenClaw vulnerability headlines are on screen. That is the local AI PC story here. Not a magic “will this make me a millionaire” machine. A small quarantine computer for an agent that needs accounts, API keys, terminal access, and enough permission to be useful. The setup is boring in the right way: fresh Mac Mini fresh Gmail fresh SIM fresh Claude API key OpenClaw onboarding in Terminal Theo as a standard user admin kept separate Location Services off Apple Intelligence and Siri off Firewall and Stealth Mode on That is the concrete stake: if the agent gets weird, hijacked, over-permissioned, or just messy, it is not sitting inside the laptop with your iCloud, browser sessions, downloads, SSH keys, client files, and real identity. Cloud still wins for giant models, long context, heavy coding runs, and parallel workers. A Mac Mini hits memory and thermals fast. But for personal, repetitive, credential-heavy agent work, ownership has a different advantage. One box. One agent identity. One narrow account boundary. One machine you can wipe without nuking your actual life.

@0x_Anni Üretim ucuzladı. Hayal gücü daha değerli oldu

F1 spends millions broadcasting a race. a fan just rendered a better shot than their whole highlight reel: a witch on a broom taking the inside line on a Formula 1 car. no track, no camera, no permission. clips like this print watch time, and watch time is the salary. the full build is in the article 👇

@gippp69 Asıl yükseltme donanım değil. Süreklilik

HE CLIPPED A $35 BATTERY TO A $599 MAC MINI AND TURNED A DESK COMPUTER INTO A 4 HOUR PORTABLE AI WORKSTATION THAT CAN RUN CLAUDE ALMOST ANYWHERE 00:03 the battery slides onto the side of the mac mini, powers it through one adapter, and removes the only thing keeping the entire setup tied to a desk: the wall outlet. now the same silent box can travel in a backpack, hold local files, process audio, run scripts, and keep small AI jobs moving from a hotel room, car, or temporary workspace. connected to claude, it becomes more than portable hardware. one link can become a transcript, structured notes, useful quotes, key ideas, and connections across everything already stored inside obsidian. the math stays simple: $599 for the mac mini, roughly $35 for the 36Wh battery, around $634 total, and close to 4 hours of runtime from a machine that normally never leaves the desk. the bigger idea is giving claude a dedicated computer that stays ready, keeps your files close, and continues working without another cloud box or a fresh chat every time. bookmark this before portable second brains become normal and every quiet little desktop starts following its owner everywhere.

@0xbobaaa Her şey yapılabilir hale geliyor. Ne yapılmayacağını seçmek zorlaşıyor

man in a nyc apartment made a drone obey his bare hand no remote. no controller palm up -> it climbs. fist -> it freezes mid-air. hand gone -> it lands he built the whole thing in 2 hours. with claude here's what's actually happening: a webcam watches his hand. a vision model reads the pose ~30 times a second. every gesture maps to a throttle command streamed to the drone live open palm = up. fist = hover. no hand = safe land five years ago this was a robotics thesis a team, a lab, a whole semester > hardware: a ~$40 toy drone > code: written in one afternoon, mostly by the AI > his real job: describing what he wanted, in english that's the part people keep missing. the skill stopped being "can you write the control loop" it became "can you clearly say what you want built" he's not a robotics engineer. he just knew how to ask the gap between people who touch these tools and people who don't is about to get violent

Güney Kore'de 24 yaşında biri bir AI kız yarattı. Tek ayda 19,1 milyon izlenme. Adı Lin. Üç dilde şarkı söylüyor, üç platformda görünüyor. Ve bir üretim hattının dışında hiç var olmadı. Kişiliğini, görünüşünü ve içerik yönünü Claude tasarladı. Yaratıcısı her gün üç video yayınladı. Aynı karaktere TikTok, YouTube ve Instagram'da 90 deneme hakkı verdi. Sonuç: 30 günde 45.300 takipçi ve platform gelirinden 3.548 dolar. Çoğu kişi ödemeye odaklanacak. Asıl varlığı kaçırıyorlar. Artık tek bir kişi karakteri, içerik motorunu ve kitleyi kontrol ediyor. Lin yeni şarkılar çıkarabilir, ürün tanıtabilir, markalarla çalışabilir ya da başka bir platforma girebilir. Hem de sıfırdan yeniden kurulmadan. İlk ay 3.548 dolar ödedi. O karakter yıllarca ödemeye devam edebilir. Kaydet, kaybetme. Sen ilk hangi nişte bir karakter kurardın?

@silvanrec Araç öğrenmek gelir getirmez. Problem çözmek getirir

Cancela tus planes de fin de semana. Aprende Claude Code. $25K/mes. $50K/mes. $60K/mes. La gente está construyendo sistemas de YouTube que funcionan en piloto automático usando Claude Code. Mientras tanto, tú sigues desplazándote por contenido que olvidarás mañana. Mientras ves un programa que no recordarás la próxima semana — alguien sin ninguna experiencia acaba de configurar un sistema que generó $62,000 el mes pasado. Mismas 24 horas. Decisiones diferentes. Tú decides. La estrategia filtrada está abajo.

@cyrilXBT Kod yazmak hâlâ önemli. Ama sistemi yönetmek daha değerli

Jensen Huang, CEO of Nvidia: "Every engineer is going to have and manage hundreds of agents." The most valuable engineering skill of 2026 is not taught in any university. No CS program teaches harness engineering. No bootcamp teaches agent memory architecture. No degree prepares you to build systems that survive production. One builder mapped the entire thing out — free, step by step, no degree required. This is the roadmap ↓ Bookmark this for the weekend.

17 yaşında bir kız haftada 10.400 dolar kazanıyor. Google Haritalar'dan. Hayatında hiç web sitesi yapmadı. Güldüm. Bana Stripe hesabını gösterdi. Tek yaptığı Google Haritalar'ı açmak. "tacos Philadelphia" yazıyor. 4,7 yıldızlı, sitesi 2013'ten kalma bir yer buluyor. Bilgilerini bir site kurucuya atıyor. O da her şeyi kendisi çıkarıyor. 20 dakika. 6 ay önce McDonald's'ta saati 9 dolara çalışıyordu. Üniforması hâlâ dolabında. Bitmiş siteyi gönderiyor. Uyumaya gidiyor. Üstünde onların adı çoktan yazıyor. O taco dükkânının sahibi linki açtı. Kızına gösterdi. "Mira, bu biz miyiz?" O gece 4.800 dolar ödedi. "selam bu gerçek mi? ne kadar" — bu onun sıradan bir salı günüydü. Bir web ajansı: 14.500 dolar. Dört kişi. Altı hafta. O: 0 dolar. Tek başına. 20 dakika. İlk ay: 800 dolar. İkinci ay: 4.100 dolar. Geçen hafta: 10.400 dolar. Babası hâlâ McDonald's'ta çalıştığını sanıyor. O bunu Google Haritalar'da buldu. Sen de bulabilirsin. Aynı mantıkla ayda 10.000 dolarlık bir B2B müşteri makinesi kuran sistemin tamamı aşağıda. Tam otomatik. Soğuk arama yok. Reklam yok. Kaydet. Aradığın şey bu. Sen ilk hangi şehirde başlardın?

@0xTria Karakter değişiyor. Dikkat mekanizması aynı kalıyor

🫰 Chinese guy snaps his fingers. One second: regular dude on camera. Next second: a full AI influencer girl. Same motion. Same lighting. New face. New character. Infinite content. This is the whole game now: > lock one girl identity > generate clips on demand > post like a real creator > monetize the attention

@88n77n Müşteri AI satın almıyor. Kontrol satın alıyor

five Mac minis stacked on a desk. no data center. no team. just five small computers pulling almost no power, running while he sleeps. not for gaming. not for show. they run private AI agents for small accounting firms: reading invoices. searching contracts. drafting reports. answering the routine client emails no one wants to write. the firms don't pay for speed. they pay because their documents never leave the machines on that desk. a cloud setup would bill them again every time a client ran one more workflow. this one was bought once. after that, it's electricity. five Mac minis aren't a data center. but for one guy with no investor and no runway, they're five employees that work overnight.