Better Streets Wıth Artıfıcıal Intellıgence

Technology Redesigning America’s Roads

What would the busiest street in your hometown look like, with fewer cars, more people, bike lanes, and light rail? Alex Fitzpatrick says urban planning advocate Zach Katz can’t just tell you these things, they can be done using the artificial intelligence rendering platform DALL-E.

Born from the San Francisco lab of artificial intelligence company OpenAI, DALL-E produces photorealistic images based on text prompt with its second edition. You can also send a picture to DALL-E and ask the AI ​​to change a certain area as you wish.

Brooklyn-based artist Zach harnesses the power of DALL-E to reimagine highways to be friendlier for pedestrians and cyclists.

Zach Katz recreated it with an artificial intelligence system called DALL-E 2, the Google Street View image of the block where he lives in New York. He chose the pavement and parked cars as elements that needed to be removed, and then wrote down how he wanted them replaced. She Wants: “A fancy fountain, water fountain and kids playing.”

Katz, 28, shared images created by artificial intelligence, showing pedestrian streets in cities such as New York and Boston, where cars are dense.

amazed at the potential that AI has in helping people imagine better cities. “I said then, advocating these safe and livable streets could have serious transformative potential around the world.

,are powerful tools for imagining what’s possible in urban design, and Katz’s work is already being used by advocates across the country to make the changes they want.

Katz’s website shows some of the most striking points of his experiments. Major roads such as the Brooklyn-Queens Highway are rolling hills and meadows where residents rest on the grass as cyclists stroll along the bike paths. Katz’s demands are on Twitter.

The Twitter Account for Sharing AI-Generated Images @betterstreetsai