I know it's ironic given the topic we're in, but the technology is actually really impressive! The coprocessors are really just ASICs designed to run neural ne

I know it's ironic given the topic we're in, but the technology is actually really impressive! The coprocessors are really just ASICs designed to run neural networks efficiently. The real cool shit is in the compression and simplification of the networks that allow constant recognition from a small power-sipping chip. They're also doing a bunch of work with federated machine learning processes. So all of the training data can be kept on the device itself, but they can (i'm grossly oversimplifying this) basically "merge" a full neural net from somewhere else with data learned on-device. It's that last part that I'm extremely interested in, as it means we can have all the benefits of machine learning systems, but also keep all of our privacy in that all the processing happens locally, our training data doesn't need to leave the device at all, and the algorithms can still adapt and improve for each person individually. It apparently also has side effects that the neural network on your device can adapt to your usage individually much faster and more accurately than a "master" neural network ever could.