The first 197 lines.
Even if we can change human beings,
in what direction do we change them?
Do we want to change them this way or that way?
This is an example of the way in which
technological advance impinges on sociological necessity.
What we need to ask ourselves is,
"Where does my individual ability to control my life
or to influence the political process
lie in relation to these new forms of technology?"
Government and politicians
don't understand what's happening.
See, they don't even realized this change is happening.
It is very difficult, not impossible,
to predict what the precise effects will be,
and in--in many cases, like with other technologies,
we have to socket and see.
Who would have predicted the internet?
And I talk about this matter as humanity 2.0
'cause in a sense, this is kind of where we're heading,
to some kind of new--new normal, as it were,
of what it is to be a human being.
It's not a problem
that we should dismiss or underestimate.
It's staggering in its proportions.
Ignorance and disbelief at the same time.
People don't believe that change is happening this fast.
That's the problem.
This is a stone
formed naturally in the Earth's crust
over millions of years through pressure and heat.
It was discovered in the Olduvai Gorge in Tanzania.
Dated around 2.5 million years BC,
it is arguably one of the first examples of technology.
Stone tools were first adapted for the use of cutting,
scraping, or pounding materials by Homo habilis,
one of our earliest ancestors.
Over one million years later,
mankind made one of the most significant
of all technological discoveries...
Fire.
The ability to control fire
was a turning point for human evolution.
It kept us warm, allowed us to see in the dark,
and allowed us to cook food,
which many scientists believe was a huge contributor
to the ascent of mind.
Each age, each empire, has brought with it
the discovery and invention of numerous technologies
each in their own way redesigning human life...
...leading us to now...
...modern-day society.
We're now more advanced, connected, knowledgeable,
and resistant to disease than ever before,
and it is all due to our ability
to apply scientific knowledge for practical purposes
in a bid to maximize efficiency.
Just as the stone set us on a path of transformation,
the technologies of the future
may bring with them a paradigm shift,
changing two major features of the human experience.
Two things that have defined our lives
for as long as we can remember.
Two things that have always been involuntary constants:
trading our time for sustenance
and losing that time through senescence.
The Industrial Revolution effectively freed man
from being a beast of burden.
The computer revolution will similarly free him
from dull, repetitive routine.
The computer revolution is, however,
perhaps better compared with the Copernican
or the Darwinian Revolution,
both of which greatly changed man's idea of himself
and the world in which he lives.
In the space of 60 years, we have landed on the moon,
seen the rise of computing power,
mobile phones,
the explosion of the internet,
and we have sequenced the human genome.
We took man to the moon and back
with four kilobytes of memory.
The phone in your pocket is at least 250,000 times
more powerful than that.
We are ever-increasingly doing more with less.
One of the things that has been born
out of this technological revolution
is the ability to replace human workers
with more efficient machines.
This is largely due to the speed
at which we are advancing our technological capabilities.
Information technology grows in an exponential manner.
It's not linear.
And our intuition is linear.
When we walked through the savanna
a thousand years ago, we made linear predictions
where that animal would be and that worked fine.
It's hardwired in our brains,
but the pace of exponential growth
is really what describes information technologies,
and it's not just computation.
There's a big difference between linear
and exponential growth.
If I take 30 steps linearly,
one, two, three, four, five, I get to 30.
If I take 30 steps exponentially,
two, four, eight, sixteen, I get to a billion.
It makes a huge difference.
And that really describes information technology.
When I was a student at MIT,
we all shared one computer, it took up a whole building.
The computer in your cell phone today
is a million times cheaper, a million times smaller,
a thousand times more powerful.
That's a billionfold increase in capability per dollar
that we've actually experienced
since I was a student,
and we're gonna do it again in the next 25 years.
Currently, on an almost daily basis,
new algorithms, programs,
and feats in mechanical engineering
are getting closer and closer to being a reliable
and more cost-effective alternative to a human worker.
This process is known as automation.
This is not just about,
you know, automation where we expect it,
which is in factories
and among blue-collar workers and so forth.
It is coming quite aggressively
for people at much higher skill levels,
and that will only grow in the future
as we continue on this exponential arc.
This business that, you know, not having to work very hard
because machines are taking care of things for you,
I mean, you see this also in the 19th century
with the Industrial Revolution.
And, in fact, I think one of the problems
with the Industrial Revolution,
and this is where Marxism got so much traction,
was that machines actually did render
a lot of people unemployed, okay?
That already happened in the 19th and 20th centuries.
And it was only by labor organizing itself
that it was able to kind of deal
with the situation intelligently
because there was no automatic, you might say,
transition to something else.
It was just, you know, "We don't need you anymore.
We have these more efficient machines,
and so now we don't--you know,
now you just have to find work somewhere else."
Automation clearly has been happening for a long time,
and it has, you know, automated
a lot of very laborious work that we don't want to do,
and that's gonna continue to be the case in the future,
but I do think that this time is genuinely different.
If we look at what's happened historically,
what we've seen is that automation
has primarily been a mechanical phenomenon,
and the classic example of that
is, of course, agriculture.
I'm a farmer.
Here's what mechanical engineering has done
for all of us who work on the farms
and for you, too.
It used to be, in the United States
and in most advanced countries,
that most people worked on farms.
Now, almost no one works on a farm.
It's less than two percent.
And, of course, as a result of that, we're better off.
We have, you know, more comfortable jobs,
food is cheaper,
we have a much more advanced society.
The question is, "Can that continue indefinitely?"
And what we're seeing this time
is that things are really quite different.
If this keeps up,
it won't be long before machines will do everything.
Nobody will have work.
So as we move deeper into the automated future,
we will see different stages take form.
The first stage that we're entering
is the stage where automated robots are working
side by side with people in factories.
Some of those jobs are slowly going away,
but in the near future, within two to three years,
you're going to see a huge percentage
of those factory jobs be replaced
with automated systems and automated robots.
The next stage following that is we could see
up to a third of jobs in America
be replaced by 2025
by robots or automated systems.
That's a huge percentage of people
that could be unemployed
because of this automated tsunami
that's coming, basically.
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