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Soli

atap.google.com

21–30 of 325 posts

Re: Soli

#21
post #9

Gonna require "the cloud" so they can collect free machine learning model training data and spy on us, I assume?

No, it’s doing all the heavy lifting on device, only sending the compressed output to the cloud for spying, err, offering you a better service.

Re: Soli

#22
Google finally ships a research project in a real product and people don’t seem to understand the usefulness.

Human nature for some reason often devolves to “what’s the point?”

Here’s the 2015 announcement. There’s a lot of potential. Maybe we’d all benefit from “imagine what’s now possible “

https://youtu.be/0QNiZfSsPc0

Re: Soli

#23
post #18

This is a beautiful piece of tech for any ad company looking to collect reaction information to ads (like google): * It works at low power. Turning on the front camera and processing the visual data generated needs large amounts of power. * It can't be blocked as easily as a front facing camera. * People are less aware that they are being surveilled, which makes them less motivated to block it. * Yes, it's not captur…

Did not think about it that way, but that does sound like a highly plausible direction a company that ditched their 'don't do evil' mantra would take it. In fact, thinking about it some more, the reasoning behind the tech would make more sense from a business perspective vs a huge want from the user's POV.

Re: Soli

#24
They should use this technology to charge Youtube video ad views depending on how many people are watching the ad on a phone. Multi-user presence will be interesting to see how it gets used as an API.

Re: Soli

#25
Good lord... this is a really cool piece of technology and half the comments here are just complaints that it will enable better ad tracking or erode privacy or that touch screens are good enough.

This is HN. This is cool technology. Can we just stop to appreciate what cool new interfaces or game concepts we might be able to build with this, rather than jumping on the knee-jerk Google hate train?

Re: Soli

#27
So, um, where is the technology that lets my phone float in free space as I execute these gestures, like in the video?

Re: Soli

#28

I honestly don't get why you'd need a motion sensor on a handheld device. Let alone the limited application of such an input, you'd literally need to keep the device stationary for the motion sensing to be effective. It's a usability nightmare. > https://www.youtube.com/watch?v=KnRbXWojW7c This ad not only fails to sell the feature but also makes using the touchscreen look easier.

For me personally, I'm going to wait a few years for the price on this phone to come down, buy a pile of them, and stick them on the wall of every room in my house. Low-power wall control panel with gestural input. Throw a bit of custom software on there, and (coupling that with Google Assistant voice recognition) it's the closest I'll get to Star Trek rooms in this decade.

Re: Soli

#29

Good lord... this is a really cool piece of technology and half the comments here are just complaints that it will enable better ad tracking or erode privacy or that touch screens are good enough. This is HN. This is cool technology . Can we just stop to appreciate what cool new interfaces or game concepts we might be able to build with this, rather than jumping on the knee-jerk Google hate train?

I agree. I completely understand privacy criticism but we don't need to fill the whole thread with unsubstantial sarcasm.

Re: Soli

#30
post #21
post #9

Gonna require "the cloud" so they can collect free machine learning model training data and spy on us, I assume?

No, it’s doing all the heavy lifting on device, only sending the compressed output to the cloud for spying, err, offering you a better service.

TBH, when this data is shipped up to the cloud, it may be used for customization that could be fed to the ad engine, but it's especially important for refining algorithm.

A lot of the leaps in high-fidelity human-computer interaction (voice, face, and likely this new gesture system) have been made with having enough data about real-world interactions to train the models. It's how a company finds out about the ten thousand things that happen in the real world that their lab-models missed, and gets their algorithm from 90% accuracy to 99.9% accuracy.

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