| > That’ll costs gobs of processing power and thus time and battery The exact same thing was said about the functionality we're describing yet there it is. Imagine describing that to someone in 2010 who's already complaining about iPhone battery life. The response would be carbon-copy to yours. In five years from the iPhone 8 to the iPhone 14 TOPS on the neural engine went from 0.6 to 17[0]. The iPhone 15 more than doubled that and stands at 35 TOPS[1]. Battery life is better than ever and that's a 58x gain just in neural, not even GPU, CPU, performance cores, etc. Over that same period of time Nvidia GPUs only increased about 9x[2] - they're pushing the fundamentals much harder as a law of large numbers-ish issue. So yeah, I won't have to wait long for zoom out of a photo 50%, completely change the angle, or who knows what else to be done locally. In fact, for these use cases increasingly advanced optics, processing, outside visual range sensors, etc, etc makes my point even more - even more data going to the cloud when the device is best suited to be doing it anyway. Look at it this way - Apple sold over 97 million iPhones in 2023. Assuming the lower averages that's 1,649,000,000 combined TOPS out there. Cloud providers benefit from optimization and inherent oversubscription but by comparison Nvidia sold somewhere around 500,000,000 TFLOPS worth of H100s last year. Mainframe and serial terminal to desktop to thin client and terminal server - around and around we go. [0] - https://appleinsider.com/articles/22/09/26/how-iphone-speeds... [1] - https://www.counterpointresearch.com/insights/iphone-15-usb-... [2] - https://en.wikipedia.org/wiki/List_of_Nvidia_graphics_proces... |