Lo and Behold, Reveries of the Connected World Page #3

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in the background,

but they're part of the

story of what's happening.

Each molecule has its own sound,

and these sounds are specifically designed

so that when the molecule is well-folded

they form harmonies.

And if something doesn't fit together

it will form a dissonance.

It's actually kind of

hard to make it do it.

These are real chemical results

of actual molecules that we,

players designed and we built them.

So we say, EteRNA

is played by humans but scored by nature.

In other words,

nature determines

who wins and who loses the game

and that's science.

The solutions of the video

gamers are not just fantasies.

They are verifiable

and can be synthesized in the lab.

Sebastian Thrun is also

reaching out into the world.

Originally he's become famous

with self-driving cars.

My dream is to go and

give every human being a chance

and the best way to do this is education.

So we built this little

company that we called Udacity

that offers education for free.

We have hundreds of thousands of students

staying with us at any given point in time.

We've been amazed how fast

our student base has grown.

There's a real thirst for education, like,

as the machines are becoming smarter

I think people want to become smarter.

People want to make a contribution

and it's harder and harder

to make a contribution today

and it'll be even harder in the future

so we've really got to go and do

something for ourselves

and the best thing we can

do I think is education.

In the very beginning of

my journey into education,

I had a chance to teach a class online

and teach a class at Stanford.

At Stanford you got 200 students.

I considered myself an

extremely great teacher

so I got a large class,

but online we got 160,000 students.

160 thousand.

And when we finally finished this class

we were able to stack

rank the Stanford students,

who are the most privileged

and most selected students,

with the students from the open world.

And the top 412 students,

they weren't at Stanford.

The best performing

Stanford student was number 413

out of a class of 200.

That kind of opened my eyes and I realized,

my god, for every great Stanford student

there is 412 amazingly great,

even better students in the world

that don't make it to Stanford.

Just before heading into

the mountain section

of the course, Stanley tracked down

and passed the crippled Highlander,

putting Stanford racing

team's Volkswagen Touareg

into the leader position and effectively

ending the Highlander's bid for glory.

As Stanley crosses the finish line,

the Stanford racing team

has made its way into the history books.

This was Sebastian Thrun's

moment of glory back in 2005.

Most of his competitors were a sorry sight.

History has already been made

as Highlander crosses the 8-mile mark,

further than any vehicle traveled

in the inaugural Grand Challenge.

20 more teams followed

the big three out of the gate,

all hoping to complete the

132-mile course in a winning time.

Team Dad, with its rotating cluster

of sensors, sped off the line,

making up ground and passing

team Axion in the process.

Team ENSCO's buggy style robot, Dexter,

also left the line with a full head of steam,

fiercely attacking the desert terrain.

Kat-5, the Ford Escape hybrid

from Louisiana's Gray team,

eased its way past the crowd,

and TerraMax, the 16-ton cargo hauler,

left the gate determined

to finish the course.

Autonomous cars are developing rapidly.

Today you don't see big radar installations

or tons of equipment.

So the primary objective

when we built this car

was to basically make it look very normal

on the outside and the inside.

The vehicle can send information

about what it is seeing

to the internet.

This can be useful to

other vehicles on the road.

It can also download information

about what is happening on the roads

before it reaches an accident area

or a traffic jam, for example.

So the internet will be decisive very soon?

The internet will play

a very important role in this, yes.

Can you open it?

It must be packed with electronics.

- Show us.

- Yes.

So just like we humans have

brains to basically process

the incoming signals,

we need to have computers,

basically, which process all the signals from

the lidars and the radars and the cameras.

I can't see anything.

It turns out there really

is nothing to see.

It's a completely useable

empty trunk space,

but hidden behind...

under the... trunk,

is a set of computers.

There are four computers,

each with four so called processing cores

which is really equivalent to

16-piece personal computing machines

which basically crunch all the data

coming in from the sensors.

These dots that you see are basically

reflections from laser beams

from the laser lidar sensors on the car.

They emit light beams, hit obstacles,

and they come back as reflections

and they show up as dots.

It really sees a virtual world.

It literally sees a virtual world.

The big question basically is that

does it understand the ethics of a human?

Does it understand the

values of human society?

For example, our vehicle,

what it would like to do

basically is not hit anybody

as the highest priority.

And then if it has to hit something

it would prefer to rather hit

some thing than somebody,

but what it really wants to do is basically

not hit anything at all or anybody at all.

But who is going to be liable

in case of an accident?

The on-board computer? Its designer?

The GPS system? The internet?

Or the driver who eats his breakfast?

When a car makes a mistake

and learns from it,

that experience is instantaneously

shared with all the other cars,

so all the other cars

learn from it as well.

It's actually something

that people can't do very well.

So, if I make a mistake,

which I've made many in driving,

then I can commiserate and I can improve,

but nobody else learns from it.

When a self-driving car makes a mistake

automatically all the other cars know

about it, including all future unborn cars,

will never make that same mistake again.

Which means the ability for cars to develop

an artificial intelligence

is so much greater

than the ability of people

to keep up with them.

Let me show you one of our robots.

This robot essentially has four wheels

and each of these wheels

have these tiny rollers on them

and what this allows this robot to do

is essentially it allows it to drive sideways

as well as forwards, as well as turn,

without having to do anything

like parallel parking maneuvers.

So that makes these robots

extremely versatile in their motion.

To kick the ball, what these

robots have is a main kicker,

which slides the length of the robot

and kicks the ball forward.

We also have a chip kicker,

which can kick the ball upward

and that makes the ball go up into the air.

These robots are autonomous.

Nobody steers them with a joystick.

Once a defender is in place,

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