These images were created with the exact same prompt. Can you guess which song inspired them? If you said "A day in the life" by the Beatles - give yourself a medal. Song Dive is a non-graphical graphical effect in my PCS Fx app. It doesn't just generate images, you give it a name of a song and an optional artist and it'll use AI to look up the lyrics for that song and then based on these lyrics create an image, which is what you're seeing here. This is 3 iterations from the same song, but as you can see they look pretty different. John wound up in the first one, the second one is similar visually but with another man, but you can see part of the lyrics in his newspaper and of course the last image is the famous "he blew his mind out..." visualized. Why did it make the smoke be in these beautiful colors? I have no idea, but I like that it did. If you'd like to see a visualization using Song Dive, just drop the name of the song/artist in a comment and I'll post what AI comes up with in reply.

📝 TL;DR Years of Pokémon Go and Ingress players scanning streets, parks, and landmarks have quietly helped build a huge 3D map of the world that is now being used to guide delivery robots. The same tech that helped you find a PokéStop is now helping robots find the right curb, building entrance, and pizza drop-off spot. 🧠 Overview This is one of those stories that sounds like a joke until you realize it makes perfect sense. Niantic’s games got millions of people to point their phones at the real world, capturing billions of ground-level images and location signals that no satellite map could easily collect. Now that spatial data is being repurposed for robotics. Niantic Spatial is using it to help Coco Robotics improve navigation for delivery bots, especially in dense city areas where GPS alone is too sloppy for precise drop-offs. 📜 The Announcement The big reveal is that the crowdsourced mapping behind Niantic’s AR games has become a practical infrastructure layer for the real world. Niantic Spatial says its visual positioning system has been trained on more than 30 billion ground-level images and scans collected over the years through products like Pokémon Go and Ingress. That system is now being used in partnership with Coco Robotics, a delivery robot company, to help its robots navigate urban routes with much finer accuracy. Instead of just knowing the general block, the robots can get much closer to understanding the exact curb, storefront, or entrance they need. ⚙️ How It Works • Ground level world map - Players scanning PokéStops and landmarks created a rich street-level dataset that captures buildings, signs, benches, paths, and other real-world details. • Visual positioning system - Instead of relying only on GPS, robots compare what their cameras see to this mapped world so they can localize themselves much more precisely. • Better last meter navigation - The hardest part of delivery is often not the route, it is the final approach, finding the correct side of the street, entrance, or drop-off location.