Autocomplete should be following the user's own behaviour. If a user thinks that "trans women are men", then it will be not a universal experience, it is just this separated user's own statistics.
I can imagine that autocompleting following users' behavior could bite people who do a lot of sexting or could reveal other secrets, ex. `the door code is`
This is a good solution but you still have to deal with the cold start problem for the ML
Then you just don't suggest anything if there isn't enough data yet. Regardless, auto-complete suggestions is different from what TFA is about.
Yes, please allow me to have corps not only know everything about me but have a hyper accurate way to know what I’m thinking as well.
Or we could just type the whole sentence we need.
Futo keyboard on Android has a transformer LM option that uses local ML for text prediction, I've found it to work very well. As far as I'm aware it's completely on device.
“Generated entirely on device” seems like an omission that doesn’t cover diagnostic, telemetry, “product improvement” logs.
A friend made a keyboard for iOS because he didn't like any of the existing ones, and it doesn't send any data anywhere: https://typeneuma.com
It can be the same way as it works now, hash table with hits stats.
That's asking a lot given the current state of the iOS keyboard.
It already does this. I've found it'll suggest my kids' names frequently, after just 1-2 letters. It didn't do this before they were born. I assume it's training on my previous messages.
I never understood the memes about autocorrect until I got an iPhone. The keyboard is so much worse than GBoard it’s incredible.