3 ms·
Is it really so hard to believe that the technical details of Snap's implementation just may not have been made publicly available at the time they deployed it?
by kkielhofner 3y ago
Is it really so hard to believe that the technical details of Snap's implementation just may not have been made publicly available at the time they deployed it? It's not as though they're known for running a breaking engineering blog like some smaller companies... Speaking of which:
In my top comment I said "Snapchat, as one example". Feel free to search around to find others that were more transparent on implementation details, such as this random weight loss app from 2017:
https://loseitblog.com/2017/11/10/on-device-image-recognition/ https://loseitblog.com/2017/11/10/on-device-image-recognitio...
They actually include the following sentence: "While we are still awaiting the official launch of Tensorflow Lite, Apple released CoreML with iOS 11."
And another:
https://dl.acm.org/doi/abs/10.1145/3132787.3132815 https://dl.acm.org/doi/abs/10.1145/3132787.3132815
If you're genuinely curious there are plenty of references of apps using CoreML in 2017 (again, Google) but at this point I'm pretty confident you're just (lazily) trying to win an argument.
- deleted 3y ago[deleted]