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Some of my highlights: - The big move to on-device ML for things like speech recognition. This was especially demonstrated with an accessibility angle, showing
by yRetsyM 7y ago
Some 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 provide ready-access to privacy features.
- Large focus on security, including calling out Gartner reports many times, having the most secure operating system in a number of tests, and most secure device (Pixel).
- Google Home products rebranded as Google Nest. Launch of Google Nest Hub Max ($229), with Camera allowing for Duo calling, and a nice hand gesture to silence the device when loud/noisy (no more shouting)
- Pixel 3a (XL) devices launched, at a lower price point of $399 ($479) with a decent set of features. No longer Verizon exclusive.
- Google wants to be "Helpful"
- ilovecaching 7y agoSounds 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.
- SquareWheel 7y agoThen why are they releasing on-device voice recognition to replace their cloud-based voice recognition?
- blub 7y agoMaybe those large (yet still too small) fines and constant criticism finally got through.
- ben_jones 7y agoBecause they calculated that taking a small L here would turn into a bigger W later. Comparatively, Apple is just trying to sell more units, not prop up its Ads business down the road with higher user counts giving more impressions.
- ilovecaching 7y agoWell Apple is exerting market pressure, there's been a lot of privacy backlash lately, and they can make customers feel safe while still exfiltrating their data via other services that you'll be encouraged to use by the "secure platform".
- cle 7y agoBecause 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.
- monocasa 7y agoAnd 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.
- jayd16 7y agoYou 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.
- jvagner 7y agoI 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.
- oflannabhra 7y agoThey 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 the long term business plan is behind “Helpful”
- cuu508 7y ago> 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.