magicmind | GYNDORE DAY ONE ✓

[image] Most people think the best robotics data comes from a perfect demonstration. It doesn't. It comes from the moment right before failure. Here's why: when a policy runs a task on its own and it's about to mess up, that's the exact moment you step in and correct it. Not the whole

[video] With these tips and tricks you can complete most @axisrobotics tasks in under 30 seconds 🟢 Complete guide for beginners 1️⃣ Always check Goal Guidance first 🟡 Target Area → where you need to place the object 🔵 Task Object → the object you need to pick up or move 2️⃣ MOVE

[image] The missing ingredient in Physical AI might not be a better model. It might be human experience. We pick up a glass without thinking about how much force to use. We notice the second something feels off. We adjust mid motion without even realizing it. None of that is coded

[image] A quick recap of why I keep coming back to this thesis. Compute is solved. Algorithms are solved. Hardware is solved. The one thing every robotics team is quietly stuck on is data, real, diverse, verifiable data. Language models didn't get good from a smarter architecture. They

[video] The hype to launch gap kills more communities than bad tokenomics ever will. 📉 Months of building energy, zero revenue, then launch day arrives and half the excitement is already gone. @fermah_xyz 's been solving exactly this for 2 years, and they're onboarding a limited set

[image] Before ChatGPT, the transformer architecture had existed for years. The breakthrough wasn't a new algorithm. It was scale, massive amounts of text data that let the same architecture suddenly generalize. Robotics is sitting in that exact same moment right now. The algorithms