⚡YASH PREET⚡ is living in its own 🔥DREAMVERSE.

MIT students gave AI a body. the camera sees what’s in front of you. you say what you want. the device moves your fingers with small electric pulses. it plays piano without training. it draws what you describe. it mixes a drink while you watch your own arm do it. the brain is Claude. six people built this in 48 hours. and this is just the hand.

Atlas hauling a 50 lb mini-fridge - Practiced the maneuver for millions of hours in a virtual environment. - Focused the training policy on full-body engagement rather than just hand-grasping, allowing the robot to leverage its entire frame for the lift.

Everyone asks if Atlas can bring them a drink, but this robot can bring you the whole fridge. Using AI-driven behaviors, Atlas is doing hard work and coordinating its whole body to manage heavy objects, balancing complex contact points with accuracy and reliability.

Day 2 is Live: Watch humanoid robots Bob, Frank, and Gary running 24/7. This is fully autonomous running Helix-02 x.com/i/broadcasts/1…

Watch a team of humanoid robots running a full 8-hr shift at human performance levels. This is fully autonomous running Helix-02 x.com/i/broadcasts/1…

It’s happening…

Balancing commercial goals and robotics research can be tricky, but with Atlas we're making it work.

This is wild. Qwen 3.5 running fully local on an iPhone 17 in AIRPLANE mode... 🤯 No subscription. Nothing leaves your device. AI subscriptions just became optional.

Someone really built this. A VS Code extension that turns your AI agents into pixel art characters working inside a virtual office.

Every idea feels taken. Every API already exists. Every SaaS has 12 competitors. So what do we even build now?

One of the amazing things about Ai is the possibility of just exploring a world you imagine for no other reason than your own play and joy. Made with @LumaLabsAI Ray3 Modify. @DreamLabLA

Wrote the first line of code 72 hours ago. Today: 5.1M views. 5 pilots. 650+ GitHub stars Everyone's burning cash on Vision Models. We parsed the Android accessibility tree instead. It's 95% cheaper and faster. The agent future isn't pixels, it's structure. I'm in SF. @johncoogan @jordihays let's break down the thesis live on @TBPN. I'm free Tuesday or Wednesday

@harsh2august Ai hai Ai😂

This is from where I’m building 🚀✌🏻 #coding #buildinpublic #Tech

This run is ~2.9 m/s = 6.5 mph = 9m15s pace

Holy s…it's game over. Which humanoid robot could beat the EngineAI T800? （Real footage, no CG, no AI, no speed-up.）

Andrej Karpathy says you should learn AI depthwise, not breadthwise. Most education is breadthwise: watch lectures, memorize formulas, and trust you'll need it later. Karpathy flips this by learning "depthwise, on demand." What this means: Pick a project, start building, and learn exactly when you hit a wall. When he created a tutorial on transformers (the architecture behind ChatGPT), he didn't start by explaining attention mechanisms or complex architectures. Instead, he started with the simplest possible thing: a lookup table that predicts the next word. You build that first. Then you try to make it handle more complex patterns. And it breaks. Only then, when you've felt the limitation, does he introduce the next concept. Each piece solves a problem you've actually encountered. As he puts it: "It's a dick move to present the solution before I give you a shot to try it yourself." When you attempt the problem first, the solution actually makes sense. Teaching forces you to learn. "If I don't really understand something, I can't explain it." When you try to explain and stumble, you've found the gaps in your understanding. ... Build a project that gives you a reward. Hit a wall. Learn just enough to solve it. Then explain it to someone else. Don't consume content. Build the code. That's how you actually learn.

China's largest humanoid robot data training center. Building by the Beijing Shijingshan District government and Leju Robotics Spanning over 10,000m² cover 100 high-frequency scenarios, including industrial manufacturing, commercial services, and home applications. 6 million high-quality data points annually.

@ironwagh Keep it up bro 🔥