As models start fitting on devices, what keeps it a competitive advantage? Are specific models patentable? Copyrightable?
What's stopping Apple or a foreign company from shipping these models themselves?
Google I/O Developer Keynote [video]
11–20 of 23 posts
Re: Google I/O Developer Keynote [video]
#12[deleted]
Re: Google I/O Developer Keynote [video]
#13Earlier quoted context omitted.
Then why are they releasing on-device voice recognition to replace their cloud-based voice recognition?
Because it's faster and works with spotty/no reception? (I'm just guessing because I can't find details on this stuff by wading through the feed.) Also, just because it's doing local inference doesn't mean it won't be uploading data back to Google periodically. As GP said, they have a strong incentive to do this, so it's reasonable to just assume they will do this until they can prove otherwise.
And doing the inference locally, and just uploading transcripts for the most part is way more cost effective. They don't have to pay for the power on these endpoints.
Re: Google I/O Developer Keynote [video]
#14Some of my highlights: - The big move to on-device ML for things like speech recognition. This was especially demonstrated with an accessibility angle, showing global subtitles available for any application. And an assistant that allowed you to answer and reply to phone calls using TTS and back. - Android Q big focus on privacy, promoting privacy to a top level menu item in settings, as well as adjustments in apps to…
Sounds like exactly what Apple said when they launched the X. All on board AI, secure enclave, no shipping your data off to the cloud for security. The issue with Google is that they're an advertising company, so they're always going to have an incentive that pushes them to market your data unlike Apple.
You just can't please some people...
Anyway, it's not all on device. There's still data collection. It's collecting some kind of post inception Delta instead of raw data.
Re: Google I/O Developer Keynote [video]
#15As models start fitting on devices, what keeps it a competitive advantage? Are specific models patentable? Copyrightable? What's stopping Apple or a foreign company from shipping these models themselves?
I for one would definitely like to pirate such a model for use on desktop applications. This seems better than many existing local systems...
Re: Google I/O Developer Keynote [video]
#16As models start fitting on devices, what keeps it a competitive advantage? Are specific models patentable? Copyrightable? What's stopping Apple or a foreign company from shipping these models themselves?
I think they still have the advantage of improving the base models ahead of anyone else. The fitting part I assume is tailoring an existing model to a specific user on device. They can improve the base model and have the competitive advantage by being first to market with ever improved model.
Re: Google I/O Developer Keynote [video]
#17As models start fitting on devices, what keeps it a competitive advantage? Are specific models patentable? Copyrightable? What's stopping Apple or a foreign company from shipping these models themselves?
Creating & improving that model is the competitive advantage. It's like saying what is the competitive advantage of compiled executables that run on customer devices. I estimate it's copywriteable.
Re: Google I/O Developer Keynote [video]
#18Some of my highlights: - The big move to on-device ML for things like speech recognition. This was especially demonstrated with an accessibility angle, showing global subtitles available for any application. And an assistant that allowed you to answer and reply to phone calls using TTS and back. - Android Q big focus on privacy, promoting privacy to a top level menu item in settings, as well as adjustments in apps to…
Sounds like exactly what Apple said when they launched the X. All on board AI, secure enclave, no shipping your data off to the cloud for security. The issue with Google is that they're an advertising company, so they're always going to have an incentive that pushes them to market your data unlike Apple.
I tend to favor Apple over Google, and am more inclined to use Apple hardware than any Google/Pixel hardware, and I have no devices that have always-on mics (aside from my iPhone), but...
Apple News is already less usable and readable because of Apple's included ad layers.
Apple's ad business isn't a sizable fraction of Google's, but Apple's direction is plenty ad-oriented, so this old canard will probably need to drop by the wayside at some point. It's not entirely meaningful.
Re: Google I/O Developer Keynote [video]
#19As models start fitting on devices, what keeps it a competitive advantage? Are specific models patentable? Copyrightable? What's stopping Apple or a foreign company from shipping these models themselves?
Creating & improving that model is the competitive advantage. It's like saying what is the competitive advantage of compiled executables that run on customer devices. I estimate it's copywriteable.
copyrightable?
Re: Google I/O Developer Keynote [video]
#20Some of my highlights: - The big move to on-device ML for things like speech recognition. This was especially demonstrated with an accessibility angle, showing global subtitles available for any application. And an assistant that allowed you to answer and reply to phone calls using TTS and back. - Android Q big focus on privacy, promoting privacy to a top level menu item in settings, as well as adjustments in apps to…
They showed a ton of advanced ML-based features in the demo. I can barely remember all the names. Obviously Google is throwing a ton of effort into these features, but I am really curious what the productization plan is behind them. It doesn’t look like they are differentiating their hardware on those features (or maybe I missed it), and it doesn’t look like those features are products on their own. I’m curious what…
> I’m curious what the long term business plan is behind “Helpful”
Product stickiness? For the competitors, these features are nontrivial to copy. If they work well, people get "addicted" to them.