Gm Creators Vangrid: Turning Missing Real-World Data Into a Rewarded Network Maps show us places that have already been recorded. But what about places that are missing or outdated? That is the problem @vangrid_io is trying to solve. AI models can learn from websites, books, and videos. But robots need information about the physical world. For example, a robot may need to know: What a warehouse aisle looks like Where a loading dock is What a pedestrian crossing looks like How wide a road is What is around a building Whether a location has changed Traditional mapping systems cannot capture everything. @vangrid_io uses a simpler idea: Create a task → someone goes there → they capture the location → the data is checked → they get paid. Instead of sending expensive mapping vehicles everywhere, Vangrid can use people with smartphones to collect specific data where it is needed. For example, someone might request: “We need fresh footage of this warehouse entrance.” A contributor goes there, records it, and submits the data. If the submission is accepted, they receive a reward. The important part is verification and provenance. The system can record information such as when and where the data was captured, helping buyers know that the data is genuine and useful. So the bigger idea is simple: AI models may already be powerful, but they still need fresh information about the real world. Vangrid is building a system where people can help collect that missing information and get rewarded for it. The model may be ready. The real world still needs to be captured.