"I write a newsletter called Optimizer. It's a given that I've dabbled with counting macros - the practice of tracking how much protein, fat, and carbs you eat - to see if it helps my training. Of course, I spent five training blocks figuring out that this breakfast gives my body the roughly 355 calories, 16g of protein, 28g of carbs, and 17g of fat it needs to feel good during a morning run and not fall asleep at my desk after."
"AI, I'm told, will change that. Recently, Ladder, my strength training app of choice, introduced AI-powered nutrition features that promised to make counting macros easy. All I had to do was take a picture, and AI would handle the rest. So imagine how it felt when the Ladder AI told me my carefully crafted breakfast was 780 calories, 20g of protein, 92g of carbs, and 39g of fat."
A preworkout breakfast of two dark chocolate Kodiak protein waffles, a tablespoon of peanut butter, a drizzle of honey, and iced coffee with a splash of soy milk provides roughly 355 calories, 16g of protein, 28g of carbs, and 17g of fat. Reentering the same food information into training or food-logging apps is tedious, so an AI-powered nutrition feature that estimates macros from a single photo promised to simplify tracking. The AI feature in a strength-training app instead returned a much higher estimate—780 calories, 20g protein, 92g carbs, and 39g fat—and produced inconsistent results even after editing exact brands and amounts. These errors show that current AI nutrition tools can fail to deliver reliable, accurate calorie and macronutrient analysis for users tracking intake.
Read at The Verge
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