Years behind what is already available through frameworks like CoreML and TimyML. Plus Google has to first prove they won't kill the product to meet the next quarterly investor expectations.
This isn't really true. They are different offerings.
CoreML is specific to the Apple ecosystem and lets you convert a PyTorch model to a CoreML .mlmodel that will run with acceleration on iOS/Mac.
Google Mediapipe is a giant C++ library for running ML flows on any device (iOS/Android/Web). It includes Tensorflow Lite (now LiteRT) but is also a graph processor that helps with common ML preprocessing tasks like image resizing, annotating, etc.
I used a fork of Mediapipe for a contract iOS/Android computer vision product and it was very complex but worked well. A cross-platform solution would not have been possible with CoreML.
Tensorflow light has been battle tested on literal billions of devices over the years and this looks like a rebrand/extension of that plus media pipe, one of the biggest users of it. Google has been serious about on device ML for over 5 years now, I don't think they are going to kill this. Confusingly rebrand it maybe :)
The generative AI piece is not available in Apple ecosystems right? I think that would be huge and I really hope Apple gives us something similar. And I gotta say the chat piece of this seems really useful too.
My brother in Christ, CoreML only exists because Apple saw Tensorflow and wanted the featureset without cooperating on a common standard. TF was like 2 years old (and fairly successful) by the point CoreML was announced. To this day CoreML is little more than a proprietary BLAS interface, with nearly zero industry buy-in.
Terrifying what being an iOS dev does to a feller.
