MAVDRON

🚨 GTA 6 just made $1 BILLION…and it’s not even out yet. 10.31M pre-orders: the most for any game ever GTA 5 needed 3 days AFTER launch to hit $1B. GTA 6 did it a week BEFORE. Nov 19. Who’s taking the day off?

HOLY F*CK!!! Up to 12,500,000 Americans are projected to take a day or two off next week for GTA VI 🌴, as economists warn that billions of dollars in GDP could be lost.

WAIT… GTA 6 isn't just a bigger map. It's practically a whole new world Imagine spending 100+ hours playing and STILL discovering places you haven't explored Forget speedrunning the story. The real endgame is getting lost in Vice City🌴 Rockstar might have just redefined open-world gaming

I asked AI to build a GTA-style 80s night chase🌴 No 3D models. No textures. No game engine. No sound files. > A whole neon city by the ocean > Police cars that hunt you down > A helicopter with a working searchlight > A SWAT roadblock, a crash and a slow-mo explosion > An original synth-funk soundtrack, generated live It’s one HTML file, and you can take the wheel yourself: drift, dodge the cops, call in a roadblock. Feels like a classic GTA mission, but every frame is code

This is f*cking insane. After 33 years at NVIDIA, Jensen Huang is reportedly stepping down as CEO and leaving the board. And suddenly, this older interview feels more relevant than ever. "The fact that I can afford to pay $8 billion in taxes over five years is a privilege." "I'm not afraid of paying taxes. I'm just afraid of being poor." In just over three minutes, Jensen shares a perspective on wealth, success, opportunity, and what it means to give something back. Here's what stands out: 0:31 — Why paying taxes doesn't bother him 1:07 — "I am the ultimate American dream" 2:13 — His perspective on the $8 billion tax bill 2:53 — Why he believes employees should be paid more, not less His philosophy can be summed up in one powerful chain: Opportunity → Skills → Company → Success → Contribution Whatever happens next at NVIDIA, these words offer a glimpse into the mindset behind one of the most influential companies in modern technology. And there's a lesson here for everyone building with AI: If technology saves us time, creates value and makes us more productive, how do we make sure those benefits reach the people doing the work? Save this interview. It's worth watching. I also put together a Grok Bot guide showing how to turn repetitive, time-consuming tasks into reusable AI workflows. Start here ↓

🚨 What if the AI boom is bigger than reality - but smaller than what’s coming? Sam Altman reportedly warned Samsung executives that AI demand is being double-counted. A supply shock may be closer than the market thinks. Is this an AI bubble warning … or just the calm before an even bigger explosion?

Two stick figures. One frozen lake. Only one of them walks away. I asked AI for a stickman fight. What came back has actual fight choreography → a head-on clash that turns into a shoving match of sparks → a four-hit exchange, every strike blocked → a low sweep, answered with a flip right over the opponent’s head, in slow motion → a kick that sends him sliding across the ice until it cracks → one final crossing strike, a white flash… and a blade that flickers out All of it is code. Every pose, every spark, the reflections in the ice, the aurora, the snow, even the sound: the hum of the blades, the clashes, the ice cracking. No animator. No keyframes drawn by hand. No stock footage. Built with Claude. Who wins the rematch: white or red?

I asked AI to build a humpback whale. No 3D models. No textures. No images. No audio files. Just pure code. The body, fins, 2,600 schooling fish, sunbeams, even the whale’s song is synthesized in real time. One HTML attached in the comments below 👇 Sound on.

Every cat you’ve ever seen is hiding knives A tiger keeps 18 claws tucked away until the exact moment it needs them. So I built one where you can watch them come out. Tigris T-9, a robot tiger made of 1,938 striped plates over a dark mechanism: → at 0:04 it stalks: head low, slow steps, an 11-segment tail swaying → at 0:10 the plates slide off one side: 16 vertebrae, a 24-cell battery, drive gears and a motor inside → at 0:14 it crouches, wiggles its back end like a house cat… and pounces at ¼ speed while all 18 claws slide out → at 0:18 it comes apart: 1,938 plates and 18 gears hanging in the air → at 0:24 it snaps back together and roars Same method as the article: one model drives every part, every number on screen is live. No Blender. No 3D artist. How it’s built, with all 7 prompts, is in the article 👇

To grow, this crab has to climb out of its own skeleton. And it chews its food with teeth inside its stomach. This one didn’t make the article, so here it is as a bonus: a shore crab as a 3D study model you can take apart. What happens in the video: - it scuttles sideways on a live gait, 8 walking legs stepping one by one - at ¼ speed you can see why: the leg joints bend outward, so sideways is the easy way - a glass rod goes in, the claw snaps shut. Only the top finger moves - Cutaway: the shell turns clear, showing the heart on top, gills in side chambers, the digestive gland, and the gastric mill grinding away - Molt: it backs out of its old shell, swells with water, and leaves an empty copy behind, legs and all - then the whole crab comes apart, piece by piece Same method as every build in the article: one model, every number computed live, built with Claude. The 7 prompts are in the article 👇

A plant with no brain just out-thought a fly I built a Venus flytrap you can watch think. Here’s what happens in the video: a fly lands and brushes one trigger hair. An electrical signal fires… and nothing happens. One touch could just be rain. a second touch within a short window, and the trap snaps shut in about a tenth of a second, shown here at 1/10 speed the fly keeps struggling, and every touch is counted at 5, the trap commits: digestion starts and 37,000 glands switch on That counting was shown in a 2016 study in Current Biology: 2 touches close the trap, 5 start digestion. How it snaps without muscles: it builds up tension in its leaves, then flips them from convex to concave, like a snap bracelet. Every number on screen comes from one model: the touch counter, the electrical spikes, the snap timing. Built with Claude. No 3D artist, no Blender. Name a plant or animal you think is secretly smarter than it looks?

NVIDIA: Making the world look better, one frame at a time

The article covers 6 builds. This one didn’t make the cut. Ingenuity, the Mars helicopter, as a 3D simulator you can take apart NASA planned 5 flights. It flew 72. The air on Mars is less than 1% as dense as ours. So the 1.8 kg helicopter spins two 1.2 m rotors in opposite directions at ~2,500 rpm. In the video they’re slowed 100×, so you can watch the blades pass each other. Then it climbs to its 24 m record, comes apart into 7 parts, and the flight log ticks up to 72. Same method as the 6 in the article: one model, every number computed live, built with Claude. The 7 prompts are in the article 👇