Kevin Kelly on the next 5,000 days of...

Kevin Kelly
on the next 5,000 days of the web (2007)

Transcript:

 

The Internet, the web as we
know it, the kind of web -- the things we're all talking about -- is already
less than 5,000 days old. So all of the things that we've seen come about,
starting, say, with satellite images of the whole earth, which we couldn't even
imagine happening before -- all these things rolling into our lives, just this
abundance of things that are right before us, sitting in front of our laptop,
or our desktop. This kind of cornucopia of stuff just coming and never ending
is amazing, and we're not amazed. It's really amazing that all this stuff is
here. (Laughter) It's in 5,000 days, all this stuff has come. And I know that
10 years ago, if I had told you that this was all coming, you would have said
that that's impossible. There's simply no economic model that that would be
possible. And if I told you it was all coming for free, you would say, this is
simply -- you're dreaming. You're a Californian utopian. You're a wild-eyed
optimist. And yet it's here.

 

The other thing that we know
about it was that ten years ago, as I looked at what even Wired was talking
about, we thought it was going to be TV, but better. That was the model; that
was what everybody was suggesting was going to be coming. And it turns out that
that's not what it was. First of all, it was impossible, and it's not what it
was. And so one of the things that I think we're learning -- if you think
about, like, Wikipedia, it's something that was simply impossible. It's
impossible in theory, but possible in practice. And if you take all these
things that are impossible, I think one of the things that we're learning from
this era, from this last decade, is that we have to get good at believing in
the impossible, because we're unprepared for it.

 

So I'm curious about what's
going to happen in the next 5,000 days. But if that's happened in the last
5,000 days, what's going to happen in the next 5,000 days? So, I have a kind of
a simple story, and it suggests that what we want to think about is this thing
that we're making, this thing that has happened in 5,000 days. That's all these
computers, all these handhelds, all these cell phones, all these laptops, all
the servers -- basically what we're getting out of all these connections is
we're getting one machine. If there is only one machine -- and our little
handhelds and devices are actually just little windows into those machines, but
that we're basically constructing a single, global machine.

 

And so I began to think about
that. And it turned out that this machine happens to be the most reliable
machine that we've ever made. It has not crashed, it's running uninterrupted.
And there's almost no other machine that we've ever made that runs the number
of hours, the number of days. 5,000 days without interruption -- that's just
unbelievable. And of course, the Internet is longer than just 5,000 days -- the
web is only 5,000 days. So I was trying to basically make measurements. What
are the dimensions of this machine? And I started off by calculating how many
billions of clicks there are all around the globe on all the computers. And
there is a 100 billion clicks per day. And there's 55 trillion links between
all the web pages of the world.

 

And so I began thinking more
about other kinds of dimensions, and I made a quick list -- and was it Chris
Jordan, the photographer, talking about numbers being so large that they're
meaningless? Well, here's a list of them. They're hard to tell, but there's one
billion PC chips on the Internet, if you count all the chips in all the
computers on the Internet. There's two million emails per second. So it's a
very big number. It's just a huge machine, and it uses 5 percent of the global
electricity on the planet. So here's the specifications, just as if you were to
make up a spec sheet for it: 170 quadrillion transistors, 55 trillion links,
emails running at two megahertz itself, 31 kilohertz text messaging, 246
hexabyte storage. That's a big disk. That's a lot of storage, memory -- nine
hexabyte RAM. And the total traffic on this is running at seven terabytes per
second. Brewster was saying the Library of Congress is about twenty terabytes.
So every second, half of the Library of Congress is swooshing around in this
machine. It's a big machine.

 

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. A quadrillion transistors is almost
the same as the number of neurons in your brain. So to a first approximation,
we have these things -- twenty-petahertz synapse firings. 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. Because in fact, that's
how your brain works -- in kind of the same way that the web works. However,
your brain isn't doubling every two years. So if we say this machine right now
that we've made is about one HB, one human brain, if we look at the rate that
this is increasing, in thirty years from now, there'll be six billion HBs. So
by the year 2040, the total processing of this machine will exceed a total
processing power of humanity,

 

in raw bits and stuff. And this
is, I think, where Ray Kurzweil and others get this little chart saying that
we're going to cross. 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. First, that basically what this machine is doing is embodying -- we're
giving it a body. And that's what we're going to do in the next 5,000 days --
we're going to give this machine a body. And the second thing is, we're going
to restructure its architecture. And thirdly, we're going to become completely
co-dependent upon it.

 

So let me go through those
three things. First of all, we have all these things in our hands. We think
they're all separate devices, but in fact, every screen in the world is looking
into the one machine. These are all basically portals into that one machine.
The second thing is that -- some people call this the cloud, and you're kind of
touching the cloud with this. And so in some ways, all you really need is a
cloudbook. And the cloudbook doesn't have any storage. It's wireless. It's
always connected. There's many things about it. It becomes very simple, and
basically what you're doing is you're just touching the machine, you're
touching the cloud and you're going to compute that way. So the machine is
computing.

 

And in some ways, it's sort of
back to the kind of old idea of centralized computing. But everything, all the
cameras, and the microphones, and the sensors in cars and everything is
connected to this machine. And everything will go through the web. And we're
seeing that already with, say, phones. Right now, phones don't go through the
web, but they are beginning to, and they will. And if you imagine what, say,
just as an example, what Google Labs has in terms of experiments with Google
docs, Google spreadsheets, blah, blah, blah -- all these things are going to
become web based. They're going through the machine. And I am suggesting that
every bit will be owned by the web. Right now, it's not -- if you do
spreadsheets and things at work, a Word document, they aren't on the web, but
they are going to be. They're going to be part of this machine. They're going
to speak the web language. They're going to talk to the machine. The web, in
some sense, is kind of like a black hole, that's sucking up everything into it.
And so every thing will be part of the web. So every item, every artifact that
we make, will have embedded in it some little sliver of web-ness and
connection, and it will be part of this machine, so that our environment -- kind
of in that ubiquitous-computing sense -- our environment becomes the web.
Everything is connected.

 

Now, with RFIDs and other
things -- whatever technology it is, it doesn't really matter, the point is
that everything will have embedded in it some sense of connecting it to the
machine, and so we have, basically, an Internet of things. So you begin to think
of a shoe as a chip with heels, and a car as a chip with wheels. Because
basically most of the cost of manufacturing cars is the embedded intelligence
and electronics in it, and not the materials. A lot of people think about the
new economy as something that was going to be a disembodied, alternative
virtual existence, and that we would have the old economy of atoms. But in
fact, what the new economy really is is the marriage of those two, where we
embed the information, and the digital nature of things into the material
world. That's what we're looking forward to. That is where we're going -- this
union, this convergence of the atomic and the digital.

 

And so one of the consequences
of that, I believe, is that where we have this sort of spectrum of media right
now -- TV, film, video -- that basically becomes one media platform. And while
there's many differences in some senses, they will share more and more in
common with each other. So that the laws of media, such as: the fact that
copies have no value. The value's in the uncopiable things. The immediacy, the
authentication, the personalization -- the media wants to be liquid; the reason
why things are free is so that you can manipulate them, not so that they are
"free" as in "beer," but "free" as in "freedom."
And the network effects rule -- meaning that the more you have, the more you
get. The first fax machine -- the person who bought the first fax machine was
an idiot, because there was nobody to fax to. But here she became an
evangelist, recruiting others to get the fax machines because it made their
purchase more valuable. Those are the effects that we're going to see.
Attention is the currency.

 

So those laws are going to kind
of spread throughout all media. And the other thing about this embodiment is
that there's kind of what I call the McLuhan reversal. McLuhan was saying,
"Machines are the extensions of the human senses." And I'm saying,
"Humans are now going to be the extended senses of the machine," in a
certain sense. So we have a trillion eyes, and ears, and touches, through all
our digital photographs and cameras. And we see that in things like Flickr, or
Photosynth, this program from Microsoft that will allow you to assemble a view
of a touristy place from the thousands of tourist snapshots of it. In a certain
sense, the machine is seeing through the pixels of individual cameras.

 

Now, the second thing that I
want to talk about was this idea of restructuring -- that what the web is doing
is restructuring. And I have to warn you, that what we'll talk about is-- I'm
going to give my explanation of a term you're hearing, which is a
"semantic web."

 

So first of all, the first
stage that we've seen of the Internet was that it was going to link computers.
And that's what we called the Net -- that was the Internet of nets. And we saw
that where you have all the computers of the world -- and if you remember, it
was a kind of green screen with cursors, and there was really not much to do,
and if you wanted to connect it, you connected it from one computer to another
computer. And what you had to do was, if you wanted to participate in this, you
had to share packets of information. So you were forwarding on. You didn't have
control. It wasn't like a telephone system where you had control of a line --
you had to share packets.

 

The second stage that we're in
now is the idea of linking pages. So in the old one, if I wanted to go on to an
airline web page, I went from my computer, to an FTP site, to another airline
computer. Now we have pages -- that the unit has been resolved into pages, so
one page links to another page. And if I want to go in to book a flight, I go
into the airline's flight page, the website of the airline, and I'm linking to
that page. And what we're sharing were links, so you had to be kind of open
with links. You couldn't deny -- if someone wanted to link to you, you couldn't
stop them; you had to participate in this idea of opening up your pages to be
linked by anybody. So that's what we were doing.

 

We're now entering to the third
stage, which is what I'm talking about, and that is where we link the data. So,
I don't know what the name of this thing is. I'm calling it the "one
machine." But we're linking data. So we're going from machine to machine,
from page to page, and now data to data. So the difference is, is that rather
than linking from page to page, we're actually going to link from one idea on a
page to another idea, rather than to the other page. So every idea is basically
being supported -- or every item, or every noun -- is being supported by the
entire web. It's being resolved at the level of items, or ideas, or words, if
you want. So besides physically coming out again into this idea that it's not
just virtual, it's actually going out to things. So something will resolve down
to the information about a particular person, so every person will have a
unique ID. Every person, every item, will have a something that will be very
specific, and will link to a specific representation of that idea or item. So
now in this new one, when I link to it, I would link to my particular flight,
my particular seat. And so -- giving an example of this thing -- I live in
Pacifica, rather than -- right now Pacifica is just sort of a name on the web
somewhere. The web doesn't know that that is actually a town, and that it's a
specific town that I live in, but that's what we're going to be talking about.
It's going to link directly to -- the web will be able to read itself and know
that that actually is a place, and that whenever it sees that word,
"Pacifica," it knows that it actually has a place, latitude,
longitude, a certain population.

 

So here are some of the
technical terms, all three-letter things, that you'll see a lot more of. All
these things are about enabling this idea of linking to the data. So I'll give
you one kind of an example. There's like a billion social sites on the web.
Each time you go into there, you have to tell it again who you are, and all
your friends are. Why should you be doing that? You should just do that once,
and it should know who all your friends are. So that's what you want, is all
your friends are identified, and you should just carry these relationships
around. All this data about you should just be conveyed, and you should do it
once and that's all that should happen. And you should have all the networks of
all the relationships between those pieces of data. That's what we're moving
into -- where it sort of knows these things down to that level. A semantic web,
Web 3.0, giant global graph -- we're kind of trying out what we want to call
this thing. But what's it's doing is sharing data. So you have to be open to
having your data shared, which is a much bigger step than just sharing your web
page, or your computer. And all these things that are going to be on this are
not just pages, they are things. Everything we've described, every artifact or
place, will be a specific representation, will have a specific character that
can be linked to directly. So we have this database of things. And so there's
actually a fourth thing that we have not get to, that we won't see in the next
ten years, or 5,000 days, but I think that's where we're going to. And as the
Internet of things -- where I'm linking directly to the particular things of my
seat on the plane -- that that physical thing becomes part of the web. And so
we are in the middle of this thing that's completely linked, down to every
object in the little sliver of a connection that it has.

 

So, the last thing I want to
talk about is this idea that we're going to be co-dependent. It's always going
to be there, and the closer it is, the better. If you allow Google to, it will
tell you your search history. And I found out by looking at it that I search
most at 11 o'clock in the morning. So I am open, and being transparent to that.
And I think total personalization in this new world will require total
transparency. That is going to be the price. If you want to have total
personalization, you have to be totally transparent. Google. I can't remember
my phone number, I'll just ask Google. We're so dependent on this that I have
now gotten to the point where I don't even try to remember things -- I'll just
google it. It's easier to do that. And we kind of object at first, saying,
"Oh, that's awful." But if we think about the dependency that we have
on this other technology, called the alphabet, and writing -- we're totally
dependent on it, and it's transformed culture. We cannot imagine ourselves
without the alphabet and writing. And so in the same way, we're going to not
imagine ourselves without this other machine being there. And what is happening
with this is some kind of AI, but it's not the AI in conscious AI, as -- being
an expert, Larry Page told me that that's what they're trying to do, and that's
what they're trying to do. But when six billion humans are googling, who's
searching who? It goes both ways. So we are the web, that's what this thing is.
We are going to be the machine. So the next 5,000 days -- it's not going to be
the web, and only better. Just like it wasn't TV, and only better. The next
5,000 days -- it's not just going to be the web, but only better; it's going to
be something different. And I think it's going to be smarter. It'll have an
intelligence in there, that's not, again, conscious. But it'll anticipate what
we're doing, in a good sense. Secondly, it's become much more personalized. It
will know us, and that's good. Again, the price of that will be transparency.
And thirdly, it's going to become more ubiquitous in terms of filling your
entire environment, and we will be in the middle of it. And all these devices
will be portals into that.

 

So the single idea that I
wanted to leave with you is that we have to begin to think about this as not
just "the web, only better," but a new kind of stage in this
development. It looks more global -- if you take this whole thing, it is a very
big machine, very reliable machine, more reliable than its parts. But we can
also think about it as kind of a large organism. So we might respond to it more
as if this was a whole system, more as if this wasn't a large organism that we
are going to be interacting with. It's a "One." And I don't know what
else to call it, than the "One." We'll have a better word for it. But
there's a unity of some sort that's starting to emerge. And again, I don't want
to talk about consciousness, I want to talk about it just as if it was a little
bacteria, or a volvox, which is what that organism is.

 

So, to-do, action, take-away.
So, here's what I would say: there's only one machine, and the web is its OS.
All screens look into the One. No bits will live outside the web. To share is
to gain. Let the One read it. It's going to be machine readable; you want to
make something that the machine can read. And the One is us -- we are in the One.
I appreciate your time. (Applause)