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So I did something else. I figured out 100 billion clicks per day, 55 trillion links is almost the same as the number of synapses in your brain.
我還發(fā)現(xiàn)，1天1千億次鼠標(biāo)點擊和五萬五千億個連接，幾乎就是大腦突觸的數(shù)量。
A quadrillion transistors is almost the same as the number of neurons in your brain.
1千兆顆電晶體，幾乎等同于大腦的神經(jīng)數(shù)量。
So to a first approximation, we have these things -- twenty petahertz synapse firings.
這部機(jī)器每秒產(chǎn)生20千兆赫茲突觸激發(fā)。
Of course, the memory is really huge. But to a first approximation, the size of this machine is the size -- and its complexity, kind of -- to your brain.
想當(dāng)然的，記憶空間相當(dāng)龐大。從剛剛的數(shù)據(jù)看來，這部機(jī)器的規(guī)格與復(fù)雜度可以說是等同于人腦。
Because in fact, that's how your brain works -- in kind of the same way that the Web works.
因為人類大腦的運(yùn)作方式和網(wǎng)絡(luò)的運(yùn)作方式差不多，
However, your brain isn't doubling every two years.
只不過，人腦不會每2年成倍增長。
So if we say this machine right now that we've made is about one HB, one human brain,
假設(shè)我們制造的這部機(jī)器現(xiàn)在等于1個人腦。
if we look at the rate that this is increasing, 30 years from now, there'll be six billion HBs.
以它的成長速率，在30年后，它會等于60億個人腦。
So by the year 2040, the total processing of this machine will exceed a total processing power of humanity, in raw bits and stuff.
也就是說，到了2040年，這部機(jī)器，處理原始資料的能力將超過人類。
And this is, I think, where Ray Kurzweil and others get this little chart saying that we're going to cross.
我想這就是，Ray kurzweil和其他一些人想用上圖表來表達(dá)的。
So, what about that? Well, here's a couple of things. I have three kind of general things I would like to say, three consequences of this.
那這又說明什么呢？這里我想談幾點。我覺得總得來說是3點，我想說是3項推論。
First, that basically what this machine is doing is embodying. We're giving it a body.
第一，這部機(jī)器正在實體化。
And that's what we're going to do in the next 5,000 days -- we're going to give this machine a body.
在下一個5000天，我們將會賦予這部機(jī)器一個實體。
And the second thing is, we're going to restructure its architecture. And thirdly, we're going to become completely codependent upon it.
第二，我們將重組它的構(gòu)造。第三，我們將要完全地與之共存。
