🥤 AI Detects Guns, Drugs, and Bombs & AI Created Beer

Hey, it's Soda Road. The only 0-calorie way to get smarter about AI in 5 minutes.

Here’s today's 0-movement workout routine:

• Patented AI Snitch 🐀 - What happens when you bring AI to a gun fight

• AI Served on Tap 🍺 - IPAs designed by AI

• The Smelliest AI 👃 - Drug sniffing AI is the leading cause of unemployed dogs

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PATENTED AI SNITCH

Pennsylvania-based company ZeroEyes, patented AI gun detection for use in existing security cameras. By using the live video feed it can detect a gun in as little as 5 seconds and snitch to the cops 🚔

ZeroEyes is active in 30+ US States. Currently in school districts, commercial properties, places of worship, hospitals, and more.

Their 24/7 dispatch confirms automated alerts before the police show up and turn everything into swiss cheese.

Customers have low overhead since existing cameras can use the AI, but the camera quality may be shit.

AI SERVED ON TAP

Detroit-based Atwater Brewery used an AI (ChatGPT?) to create a recipe for a new IPA. It created a tropical and citrus recipe, producible at the scale of their large brew systems.

The IPA is still brewed by humans though. That is until Boston Dynamics releases their IPA-brewing robot.

If you're unfortunate enough to be in Detroit, you can grab a nice AI IPA at Atwater's riverfront location.

THE SMELLIEST AI

Some bored scientists amputated the antenna of a locust and sent electrical signals through it to an AI. The result? An unhappy locust and a sensor 10,000x more sensitive than current technology!

Scientists used different odors on the sensor and measured its electrical activity. With the data, they built an ML model that can detect odors like geranium, lemon, and even types of Scotch whiskey.

They believe that the hypersensitive sensor can smell explosives, drugs, diseases, and more!

AI is coming for drug-sniffing dog jobs too 😭

Did you know that a mosquito can detect a 0.01% difference in the level of carbon dioxide in the air? Explains why they bite so much- they're mad about climate change.

That's everything.

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