AI apps that run directly on smartphones, such as Google’s new AI Edge Gallery, are said to unlock a range of use cases that include operating without an internet connection present. That has value for remote locations, while on airplanes or other locations where access is limited or non-existent.
The other set of values often is said to include greater privacy or security, processing speed or reliability. Processing on a smartphone is said to provide greater privacy since no data is sent away to a remote site. In principle, that means less risk of a theft of data in transit.
And some operations, such as those related to image processing on a local camera, are likely to work with less latency if the app is locally resident on the device.
That might also apply for any AI operations that only use locally-resident (on the device) data. My own personal use cases almost always require access to external data, so the locally-resident value is quite limited.
Each of us will decide how much value is provided by a locally-resident ability to generate email or message responses.
On the other hand, some might find useful the ability to generate images locally, such as creating images based on prompts when offline.
Photo analysis using the camera might be another value, assuming no external data is required.
But, most of the time, the value might come from processing that can be done without an internet connection. The other area where AI might have value is to optimize the performance of the device itself, to save battery life, for example.
For many use cases, though, it seems as though the value is greatest when all required data is available locally and devices operate in areas with no internet access.
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