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Samsung running a TensorFlow lite model on 960x540 image to track you

A user inspection found Samsung devices running a TensorFlow Lite model named "alex.tflite" on 960x540 images with INT8 quantization every couple of seconds to identify which game the user is playing. The model appears to be AlexNet, following torchvision.models.alexnet, and performs nearest-neighbor feature comparisons against a database that reportedly fail 99% of the time, with results discarded before a consent gate is reached. The finding matters because the classification runs continuously and consumes CPU resources before any user consent is obtained.

read1 min views1 publishedOct 25, 2026
Samsung running a TensorFlow lite model on 960x540 image to track you
Image: source

Ok, I just checked this, and its literally running a freaking TensorFlow Lite model on 960×540 images with INT8 quantization every couple of seconds in an attempt to figure out what game you are playing. It's literally called "alex.tflite" and its literally AlexNet and seems to follow torchvision.models.alexnet. As far as I can tell this does some strange nearest neighbor feature comparisons against a DB and literally doesn't work 99% of the time, you love to see your CPU get wasted every other second by this thing though. It also just seems to dump its results into the void because the consent gate comes later. Anyways, here's the tf model graph and some dumped captures.

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