this post was submitted on 28 Aug 2023
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Privacy
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But it's quite bad, given their care for privacy there's no way they can compete with google who has all the data.
I know a bit of machine learning and I'm pretty confident I could hack something together that's better than what florisboard has right now, but I'd have no idea where to even start integrating it.
Agreed there isn't any beating google, but everyone operates on different threat models. A bit of inconvenience for a bit of privacy may be worth it for some and not for others. From what little i used of it when i was trying it that yes it had much room for improvement but it was still useable. Once they get predictive text enabled i think the a swipe feature will really shine. But then again that's just my humble opinion
Google's swipe typing is pretty damn good, but it isn't magic. It gets a lot better after using it for a while so I'm sure they use reinforcement learning in addition to the dictionary.
They've had it for quite a while and it's good, so I doubt they are putting much work into improving it. And since we have phones with TPUs and multimodal LLMs now, I think it's possible to beat google.
The LLM would only need 3-10 words of context and the swipe data as input to generate a single word, so it can be very small. I don't know much about the power of cellphone TPUs, but I think training an LLM with about 10M parameters on the fly should be possible. If that's the case, we could beat google while doing everything locally on the phone, so no privacy compromises.
Now that I think about it, it sounds doable. But then again I never did anything like this so I'm probably underestimating it by an order of magnitude or two.
Beating google while being local would be the dream, wouldn't it? What you say tracks but i'm like you, i've not done anything remotely like it so it's very possible we're underestimate indeed.
I agree Florisboard is unusable as a daily driver