Ritik Madan

India is quietly becoming a training floor for humanoid robots, with workers filming thousands of first-person hand tasks so AI systems can learn grasping, folding, sorting, and tool use. This story is really about how the humanoid robot boom still depends on cheap, repetitive human labor to teach machines basic physical skill. The problem is that robots do not fail on big plans first; they fail on tiny physical details like grip angle, finger timing, slip correction, and object contact. That kind of knowledge is hard to code and expensive to collect. These labs capture that missing layer by putting cameras or sensors on people and recording ordinary actions as machine-readable motion examples. The useful part is not the towel or box itself but the sequence: where the hand starts, how force changes, when fingers adjust, and how the body recovers from small mistakes. That gives robotics teams supervised data for models that map visual input to physical actions, which is much easier than hand-coding every movement rule. This is a story about how physical intelligence gets extracted before it gets automated. --- quasa. io/media/the-hidden-hand-farms-of-india-fueling-the-ai-robot-revolution-with-human-motion

French gov moving faster than most companies we now have a skill to do taxes, what a time to be alive

Poured everything into making this one. ❤️ Behrupiya is out now. Some games of pretend, never end. Here's Episode 1:

Introducing Cowork: Claude Code for the rest of your work. Cowork lets you complete non-technical tasks much like how developers use Claude Code.

You can now design directly in your codebase. Select elements, modify them visually, and Cursor writes the code.