San Francisco’s latest tech experiment is here, and it’s as wild as you’d expect from a city that turns everything into a data project. A local tech bro named Riley Walz has created “LooksMapping,” an AI-powered website that ranks restaurant patrons’ hotness based on their Google Maps review profile pictures. 🤖💁‍♀️

The Thirst Trap of Tech

Walz scraped millions of restaurant reviews and ran profile pictures through an AI model that rates attractiveness on a 1-10 scale. The result? A color-coded map where red means “hot” and blue means “not”. Because apparently, we needed another way to judge people in San Francisco.

Wait, What Did We Just Discover?

Some unexpected restaurants topped the “hot” list. Chinatown’s Hot Pot Champ and Fondue Chinoise scored surprisingly high, while the iconic Zuni Cafe got a measly 4.4 rating. Son & Garden at Hotel EPIK? A sizzling 8.8. Bansang in the Fillmore? A solid 9.1.

The Problematic Tech We Didn’t Ask For

Even Walz admits the model is “certainly biased” and “flawed”. Yet, here we are, turning human appearance into a data point faster than you can say “tech bros”. Is this innovation or just another example of Silicon Valley’s weird obsession with reducing everything to an algorithm?

Remember, folks: Just because you can create something doesn’t mean you should. But hey, welcome to San Francisco, where the tech is wild and the judgment is wilder! 🌉✨