I FOUND THE EASIEST AI FACELESS NICHE TO START WITH. VIRAL BACKYARD VIDEO CREATION, 5 MINS INSTALLATION Those viral restoration timelapses dominating your feed are entirely AI-generated, and here's how to have the same ones: - Firstly, reverse-engineer a reference take a screenshot of an aesthetic yard design and feed it into ChatGPT to extract the exact prompt architecture. - Secondly, run that data through the "Restoration Timelapse" custom GPT. This tool instantly builds out the step-by-step construction sequence. - Finally, plug those prompts into an image generator to create the stages of the build, and use an AI video generator to animate the transition from dirt to the finished design. This format requires zero 3D modeling or complex editing skills. Bookmark this to build your automated content engine

BREAKING: Anthropic just turned off Fable 5 for everyone… US authorities forced the company to cut one of their most powerful models off from the open world The rule was clear. No foreign users allowed on something this capable. To comply they had to disable it completely Even paid users and API access are gone right now The real story is not about one model going dark Governments are starting to treat frontier AI as restricted technology Companies are being pushed to lock down their strongest systems just to meet national rules Powerful models are becoming something only certain people in certain countries can actually use This is the direction things are heading

The furniture industry is about to have its ChatGPT moment This chair wasn't manufactured. It wasn't assembled It wasn't even built in the traditional sense It was printed What's wild is that we're still treating 3D printing like a hobby when companies are already printing real furniture, architectural components, custom products, and entire homes The same pattern keeps repeating First it's a toy Then it's a niche Then it quietly becomes an industry Most people see a chair I see a future where products are downloaded instead of shipped

Claude Fable 5 was tested against Opus 4.8 on physics simulation tasks Both models received the same prompts and were tasked with generating standalone HTML5 simulations without using third-party libraries: → Chaotic double pendulum → Galton board → Water in a rotating drum (WCSPH) Generation costs: • Fable 5 - $3.35, 68.7k tokens, 14 min 47 sec • Opus 4.8 - $0.93, 38.9k tokens, 8 min 10 sec Fable demonstrated its most notable advantage in the water simulation. The model created a more cohesive and stable fluid volume Opus exhibited large gaps near the walls, with individual particles scattering across the scene, and the fluid itself was less stable

SpaceX just hit the Nasdaq June 12, 2026 - biggest IPO in history ~$1.75T valuation. Up to $75B raised While everyone’s watching the opening price, the real story is bigger: > Space isn’t an expensive government experiment anymore It’s Starlink with 10M users Starship about to make heavy launches cheap and frequent Now it’s a public company The multiplanetary future just became a tradable asset

THE GUY WHO WROTE THE MATH BEHIND PROFESSIONAL MARKET MAKING GAVE A PUBLIC TALK AND ALMOST NOBODY IN CRYPTO HAS SEEN IT His name is Sasha Stoikov In 2008, he co-authored a paper that every serious market making desk on the planet still uses Jane Street. Citadel. Virtu. All of them price limit orders using some version of what he derived The paper is called Avellaneda-Stoikov This is him at an IAQF seminar explaining how market making actually works at the microstructure level Not the textbook version. The version where queue position kills you and static spreads get you picked off If you're providing liquidity on Polymarket manually, you're approximating what this model describes If you're doing it with a bot, your bot is running a version of this The source is worth understanding Watch it

POV: When you realize claude opus 4.8 is actually free to use no subscription just your terminal one key full method below 👇

You’ve been using Claude Pro for 8 months. You pay $20 a month. 75% of your tokens go to waste Claude explains every action. Claude summarises every response. Claude asks if you need help You’re paying for Claude to talk to itself Then you discover that the ‘caveman skill’ exists. 87% token savings You learn about window anchoring. About how ‘edit’ replaces context rather than accumulating it. About how ‘Projects’ loads files just once $500 a month is saved And you’ll never use Claude the same way again

$50K OpenAI API Credits Drop. Free Use every ChatGPT model for free every single day The tradeoff for this god tier freebie? Your API data gets used to train models (nothing personal to the devs tho) Daily limits: • 250k tokens/day on GPT-5.5 • 2.5m tokens/day on mini models • Up to 10m tokens/day on GPT-3 tier 5 Dead simple: OpenAI Platform → Data Controls → Sharing Grab the free API credits here👇🏻

10 MILLION VIEWS IN 30 DAYS 13 POSTS A DAY ACROSS 5 PLATFORMS AT THE SAME TIME 2 CLICKS A DAY FROM HIM PERSONALLY here's the full stack: openrouter - generates all the copy and scriptskai ai - creates images and videos for the postsrailway - hosts the whole system for $5 a monthcam - his own app that glues everything together he process looks like this hit generate → review it → hit approve the system does everything else on its own youtube instagram tiktok all at the same time every day in april it did 7 million views in may it was already at 10 million not because he got better at writing but because the system ran longer this isnt about content its about infrastructure most people have ideas but no system he has a system - and the ideas arent as important anymore you still posting manually?