The main idea behind it is to improve the creation of tab groups for the user. The process is automated when the feature is used, which means that you do not have to create tab groups manually anymore and put tabs into them.
Edge sends information about all open websites to a Microsoft server when the option is selected. The AI processes the request then on the server and returns its suggestions after a moment.
While the automatic tab group creation features of Edge and Chrome look useful, privacy conscious users may want to skip those and create tab groups manually instead.
Having your entire list of open websites submitted to a company server without really knowing what is done with it and how it is stored outweighs the convenience of the feature.
Outstanding! I always wanted my browser to group my tabs based on my porn tastes! Doggy in one group, missionary in another, and GILFs too! Now I’ll never get confused when hunting through my open tabs!!
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Why are we making such huge steps backwards. Didn’t we get federated learned to reduce data collection like a decade ago?
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I meant more on the tools side of things like https://www.tensorflow.org/federated/tutorials/federated_learning_with_differential_privacy
With Gboard being user of federated learning to reduce data leakage.
Sounds like really useful technology. Can we get it without exhibitionism now?
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