Google Maps immersive view uses AI to preview city routes

Google Maps’ Immersive View isn’t new, but its gradual expansion to dozens of cities illustrates how quietly powerful AI‑generated environments are becoming part of everyday life. Under the hood, Google is stitching together imagery, 3D geometry and learned priors into dynamic fly‑throughs that let you ‘experience’ a route before you travel. That’s a concrete example of models learning to construct coherent, navigable world‑representations at scale for consumer use. ([notimerica.com](https://www.notimerica.com/ciencia-tecnologia/noticia-portaltic-asi-vista-inmersiva-google-maps-funcion-permite-explorar-ciudades-inteligencia-artificial-20260207110111.html))

For the AGI conversation, this matters less as a standalone feature and more as a proof of concept: large‑scale, high‑fidelity generative maps can double as training grounds for navigation agents, AR assistants and even real‑world robots. If you can accurately simulate traffic patterns, lighting and human flows, you can test embodied policies in silico before deploying them.

It also highlights the importance of geographic reach. By rolling Immersive View into Latin American and Asian cities—not just the usual rich‑world metros—Google is gathering usage data and tuning models against a more diverse set of urban forms. That diversity may prove valuable when building agents meant to work globally rather than in a handful of benchmark environments.