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Comment by tegeek | Hacker News Reader

This November is pretty heavy for geeks & Singularity lovers (I'm one of them).

First we saw a man-made machine landing/crash-landing 500 millions KM from Earth.

Then HN discussed this [1] which is IMO one of the biggest machine-learning demo I've ever seen (other than Self-driving cars).

And now this futuristic tech which is aiming to eliminate the screens altogether. (As some of its use cases)

If Magic Leap delivers her promise within next 2-3 years, then we are already ahead than Singularity timeline [2].

1. http://cs.stanford.edu/people/karpathy/deepimagesent/ 2. http://en.wikipedia.org/wiki/Predictions_made_by_Ray_Kurzwei...

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How can we be "ahead of schedule" when we still don't have the first couple tasks from a decade ago? Dictation, for example, is pretty good but it's not a solved problem.

* Translating telephones allow people to speak to each other in different languages.

* Machines designed to transcribe speech into computer text allow deaf people to understand spoken words

http://en.m.wikipedia.org/wiki/Predictions_made_by_Ray_Kurzw...

>> Translating telephones allow people to speak to each other in different languages.

The technology is there to build this kind of device, I agree not 100% accurate but still practical enough to be used in real life. http://en.wikipedia.org/wiki/IraqComm

>> Machines designed to transcribe speech into computer text allow deaf people to understand spoken words

This too, the technology is there to build a device. I would say we've much more powerful devices in form of smart phones than just doing 1 or 2 things. The talko app on iPhone is actually much more than just speech to text converter. http://www.talko.com/

I would also like to say that Singularity predictions doesn't employ that the technology will be so mainstream that every person will be using that. But even if we can build a technology in some lab, it still becomes an event on Singularity timetable. I've yet to see any off the mark prediction from Singularity timeline.

The funny thing to me is that this is quite possibly already solved, and it's just being fed into a big data center in Utah.

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