Name: Ray Kurzweil: Your Robot Assistant of the Future
Uploaded: 2016-07-13T06:52:07.000Z
Duration: 3 min 33 s
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To-infinitive

If you really want to understand what's on a written page right now we need a human to

Future simple

read it. That's very slow. We will get, I believe technology very soon that

Modal verbs - A2

can actually do a pretty good job of reading natural language documents. Watson shows that

that's feasible. If you consider Watson was actually able to read Wikipedia and understand

it well enough to play a game of this Jeopardy, which is a complex, subtle, ambiguous game

of language and got a higher score than the best human players put together.

And its knowledge was not programmed fact by fact in Lisp or some computer language.

It just read Wikipedia and other encyclopedias, 200 million pages of natural language documents

and didn't do a perfect job of understanding it and didn't do a perfect job of answering

the questions but was better than the best human players put together from having read

natural language documents. That's very impressive.

That's coming to a search engine near you. There's major search engines like Google are

not just going to be using keywords with synonyms, they're going to actually read for understanding

the concepts 'cause if you think about searching there's a lot of information now that's ignored,

which is the meaning of all these documents which is why they were created.

So if you can have a computer even do a job that's very mediocre compared to human but

then can apply the scale of computation. I mean, Watson -- if it read one page, it's

not as good as you are, but it didn't read one page -- it read 200 million pages. You

and I can't begin to do that. Watson's out reading all medical literature, every medical

journal article, every medical book, major medical blogs and will be an expert

diagnostician and medical consultant that has read everything. No human can do that.

So that's where we're headed. Our search engines will actually also know us very well. We will

let them listen in on conversations; verbal, written. They'll watch everything we're reading

and writing and saying and hearing, and then they'll be like an assistant. It'll say, "Oh,

you know, you were talking about how you can get the supplement phosphatidylcholine into

the cells yesterday in that conversation with Joe. You know, there's research that came

It'll be an assistant that helps you through the day, will answer your questions before

you ask them or even before you realize you have a question, and you'll just get used

to this information popping up that you wanted and you'll be frustrated if you're thinking

about something and it doesn't immediately pop up without you even having to ask for

it. I'm not actually predicting that until 2029 that we will match human intelligence,

but we can nonetheless do things that humans can't do. I mean, Watson, if it read one page,

as I said, wouldn't be as strong as you or I, but it was able to read hundreds of millions

of pages and it's ability to read each page is going to increase. So that's where we're

headed. But then a comment on that is it's not an alien invasion of these intelligent

machines to displace us. We will use them to make ourselves smarter, which is what we