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I gave a talk at the first TED in 1984 that was two hours long and it had five predictions
in it that more or less all came true. And people called them predictions but they really
weren’t predictions. They were extrapolations. The reason I talked for two hours is not because
I was Fidel Castro and I was giving a rally. It’s because I had 15 years of research
stored up and was about to open the media lab and it was real easy to talk about what
we were gonna do and some of it even seemed old hat even though in retrospect people thought,
oh, this is amazingly predictive. 30 years later, they say make a prediction as if I
had made predictions the first time which I hadn’t. So this year I actually did make
a prediction and it is in the prediction category in the sense that it’s not an extrapolation
of work I’ve been doing for 15 years. But it’s part of work that some of my colleagues
have started at the media lab which is really looking at the brain. Not just mapping the
brain but how do you interact with the brain pretty directly. And almost everybody who’s
done that has done it from the outside, you know, with sticking pins and needles or, you
know, EEG or MEG or other ways. And the key to my prediction is the best way to interact
with the brain is from the inside, from the bloodstream.
Because if you inject tiny robots into the bloodstream they can get very close to all
the cells and nerves and things in your brain, really close. So if you want to input information
or read information, you do it through the bloodstream. So by extension – and this
is, you know, why it’s a prediction because it’s by extension, you could in theory load
Shakespeare into your bloodstream and as the little robots get to the various parts of
the brain they deposit little pieces of Shakespeare or little pieces of French if you want to
learn how to speak French. So in theory you can ingest information and that was my prediction.
I won’t be around to see whether it’s true but, you know, like many of these predictions
it doesn’t have to be true as long as it gets people thinking. And there are people
thinking about this and looking at it quite seriously. And I think it’s an area in sort
of synthetic biology and sort of the interface between biology and silicon that is really
what the future’s about. The digital world today is like plastics were 25 years ago.
It’s an important field but kind of over. Digital world is like plastics and the biotech
world is the next phase.
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Nicholas Negroponte: Nanobots in Your Brain Could Be the Future of Learning

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稲葉白兎 2015 年 1 月 13 日 に公開

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