TL;DR: Vangrid launched a system allowing AI agents to fund bounties for humans to collect real-world video data, which is then converted into 3D models for agent use.
Summary: Vangrid has introduced a decentralized network where AI agents can request specific real-world data, fund a bounty in USDC, and pay humans to physically visit locations and capture video footage. This footage is then transformed into 3D models for the agent's use. The workflow is API-connected, with payments supported on Base and Arc.
Why it matters: This development provides a novel mechanism for AI agents, especially those in physical AI and robotics, to acquire accurate, up-to-date real-world data beyond simulations. AI builders should explore integrating such physical data acquisition capabilities into their agent designs to bridge the gap between digital AI and the physical world.
Source: x_com