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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 extensionand 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.

I gave a talk at the first TED in 1984 that was two hours long and it had five predictions

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B1 中級

尼古拉斯-尼葛洛龐帝:大腦中的納米機器人可能是學習的未來。 (Nicholas Negroponte: Nanobots in Your Brain Could Be the Future of Learning)

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    稲葉白兎 發佈於 2021 年 01 月 14 日
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