Sebastian Thrun and Chris Anderson: What AI is -- and isn't
Sebastian Thrun - Engineer
Sebastian Thrun is the director of the Stanford Artificial Intelligence Lab and is working, through robotics, to change the way we understand the world. Full bio
Chris Anderson - TED Curator
After a long career in journalism and publishing, Chris Anderson became the curator of the TED Conference in 2002 and has developed it as a platform for identifying and disseminating ideas worth spreading. Full bio
what machine learning is,
and also of the concern
intelligence and machine learning
in its past until recently.
of computing and datasets
say, your phone,
very long kitchen recipe,
turn down the temperature.
has 12 million lines of code.
can cause your computer to crash.
makes so much money.
can find their own rules.
deciphering, step by step,
the computer examples
which recently was won by Google.
you would really write down all the rules,
residing Go champion.
the software engineer
where this has become really possible --
was about machine learning.
insignificant, don't read it,
were as big as a cockroach brain.
to really emulate
take advantage of the fact
much more data than people can.
more than a million games.
study a million games.
a hundred billion web pages.
a hundred billion web pages.
the computer can find rules
to, "If he does that, I will do that,"
looks like a winning pattern,
a winning pattern."
how you raise children.
giving kids a rule for every contingency
and they have this big program.
they get slapped or spanked,
a good grade in school,
so much easier all of a sudden.
We just give them lots of data.
to the spectacular improvement
into a spin-off called Voyage.
called deep learning
from Mountain View, California,
and 133 traffic lights.
the Google self-driving car team.
the world's best software engineers
into the computer brain,
that often surpasses human agility.
about 33 miles, an hour and a half.
of this program on the left,
the computer sees as trucks and cars
image, which is the main input here,
other cars, traffic lights.
to do distance estimation.
in these kind of systems.
and so on depicted by the laser.
is centering on the camera image now.
sensors like radars and lasers
on the left thing, what is that?
for your adaptive cruise control,
how to regulate velocity
the cars in front of you are.
got an example, I think,
learning part takes place.
a challenge to Udacity students
a self-driving car Nanodegree.
how to steer this car?"
to get the steering right.
"It's a deep learning competition,
like Google or Facebook,
at least six months of work.
100 submissions from students,
drive on this imagery,
to a computer now,
to comprehend the data,
of powerful applications
the other day about cancer.
CA: This is cool.
into what's happening
400,000 dollars a year,
to be a good dermatologist.
the machine learning version of it.
for these machine learning algorithms.
by a Facebook Fellow called Yann LeCun,
as the human brain.
but it emulates the same thing.
the visual input and extracts edges
more complicated edges
really complicated concepts.
cat faces and dog faces
at Stanford has shown is that
of skin conditions,
that this is the case,
that we presented to our network
the performance classification accuracy
That's a moving piece.
in "Nature" earlier this year
we had the correct classification.
by one of our collaborators.
one of the three best, apparently,
"This is not skin cancer."
a second moment, where he said,
and ran our piece of software,
the iPhone a little bit more than myself,"
to get it biopsied.
that we actually found,
would have gone unclassified,
for an app like this right now,
making an app that allows self-checking?
about cancer apps,
10, 15, 20 melanomas removed,
might be overlooked, like this one,
these days, I guess.
and impress a TED audience.
something out that's ethical.
the assistance of a doctor
and our data holds up,
to take this kind of technology
doctors never, ever set foot.
with this army of Udacity students,
a different form of machine learning
with a form of crowd wisdom.
that could actually outperform
even a vast company?
instances that blow my mind,
is these competitions that we run.
a self-driving car
to San Francisco on surface streets.
after seven years of Google work,
and three months to do this.
an army of students
who use crowdsourcing.
where people do bug-finding crowdsourcing
this car in three months,
who are never hired,
and I don't even know.
maybe 9,000 answers.
which is maybe not the best thing to do.
of their education, too, which is nice.
to produce amazing deep learning results.
and great machine learning is amazing.
the first day [of TED2017]
turned out to be two amateur chess players
mediocre-to-good, computer programs,
with one great chess player,
you're talking about a much richer version
the fantastic panels yesterday morning,
that we sometimes confuse
with this kind of overlord threat,
is for my AI to have consciousness.
with the dishwasher
and I don't want them.
an augmentation of people.
of human smarts and machine smarts
is as old as machines are.
place because it made steam engines
that couldn't farm by itself,
it made us stronger.
will make us much, much stronger
of this for some people,
scary for people is when you have
rewrite its own code,
multiple copies of itself,
if a goal is achieved and improved.
on an intelligence test.
that's moderately good at that,
some sort of runaway effect
on Thursday evening,
on Friday morning,
of computers and so forth,
what I heard you say.
we had exactly this thing:
the game against itself
is a rewriting of the rules.
absolutely no concern
these are all very single-domain things.
that seemed nearly capable
and understand in the sense that we can,
patterns of meaning.
as this broadens out,
kind of runaway effect?
I draw the line, honestly.
I don't want to downplay it --
the thing that's on my mind these days,
is something else.
to the present date
is because of massive numbers of Go plays,
or fly a plane.
or the Udacity self-driving car
and it can't do anything else.
on this thing called "general AI,"
"Hey, invent for me special relativity
and I want to acknowledge them.
"What if we can take anything repetitive
100 times as efficient?"
we all worked in agriculture
doing repetitive things,
of being able to take an AI,
as effective in these repetitive things.
a little terrifying to some people,
can do this repetitive thing
is the thing that's talked about
glorious aspects of what's possible.
and it's a big issue,
by several guest speakers.
back 300 years ago.
of continuous war,
or software engineer or TV anchor.
with a little steam engine in his pocket,
as strong, so you can do something else."
there was no real stage,
with the cows in the stable,
concerned about it,
and what if the machine does this for me?"
past progress and the benefit of it,
or electricity or medical supply.
which was impossible 300 years ago.
the same rules to the future.
of my work is repetitive,
on stupid, repetitive email.
that helps me get rid of this.
are insanely creative;
more than anybody else.
I think you can go to your hotel maid
you find a creative idea.
is to turn this creativity into action.
build Google in a day?
and invent the next Snapchat,
in my opinion.
great side effects.
and education and shelter
affordable to all of us,
that this time it's different
that we've used in the past
is that, not completely,
different from the kind of creativity
belief as an AI person --
any real progress on creativity
really important for people to realize,
intelligence" is so threatening,
tossing a movie in,
the computer is our overlord,
do repetitive things.
entirely on the repetitive end.
we've become superhuman.
the Atlantic in 11 hours.
shouting back to us.
We're breaking the rules of physics.
we're going to remember everything
in my early stages of Alzheimer's.
an IQ of 1,000 or more.
spelling classes for our kids,
is that we can be super creative.
it's going to be painful,
of more than those jobs.
to just a new level of empowerment
60-100,000 years old, give or take --
in terms of invention,
it's a little bit older.
manufacturing, penicillin --
has gone up, not gone down, in my opinion.
things have been invented yet. Right?
Hopefully, I'll change this.
people laughed about. (Laughs)
Working secretly on flying cars.
implant in our brain
once you have it, you'll love it.
we haven't invented yet
from one location to another.
that flight wouldn't exist,
than you could run,
that you can't beam a person
and your brilliance.
About the speakers:Sebastian Thrun - Engineer
Sebastian Thrun is the director of the Stanford Artificial Intelligence Lab and is working, through robotics, to change the way we understand the world.
Why you should listen
Sebastian Thrun is a professor of Computer Science and Electrical Engineering at Stanford University, where he also serves as the Director of the Stanford AI Lab. His research focuses on robotics and artificial intelligence. He led the development of the robotic vehicle Stanley which won the 2005 DARPA Grand Challenge, and which is exhibited in the Smithsonian.
Read the TED Blog's first-person story of a spin in the Google driverless car >>
Interesting: Will the Google Car make money?
Sebastian Thrun | Speaker | TED.com
Chris Anderson - TED Curator
After a long career in journalism and publishing, Chris Anderson became the curator of the TED Conference in 2002 and has developed it as a platform for identifying and disseminating ideas worth spreading.
Why you should listen
Chris Anderson is the Curator of TED, a nonprofit devoted to sharing valuable ideas, primarily through the medium of 'TED Talks' -- short talks that are offered free online to a global audience.
Chris was born in a remote village in Pakistan in 1957. He spent his early years in India, Pakistan and Afghanistan, where his parents worked as medical missionaries, and he attended an American school in the Himalayas for his early education. After boarding school in Bath, England, he went on to Oxford University, graduating in 1978 with a degree in philosophy, politics and economics.
Chris then trained as a journalist, working in newspapers and radio, including two years producing a world news service in the Seychelles Islands.
Back in the UK in 1984, Chris was captivated by the personal computer revolution and became an editor at one of the UK's early computer magazines. A year later he founded Future Publishing with a $25,000 bank loan. The new company initially focused on specialist computer publications but eventually expanded into other areas such as cycling, music, video games, technology and design, doubling in size every year for seven years. In 1994, Chris moved to the United States where he built Imagine Media, publisher of Business 2.0 magazine and creator of the popular video game users website IGN. Chris eventually merged Imagine and Future, taking the combined entity public in London in 1999, under the Future name. At its peak, it published 150 magazines and websites and employed 2,000 people.
This success allowed Chris to create a private nonprofit organization, the Sapling Foundation, with the hope of finding new ways to tackle tough global issues through media, technology, entrepreneurship and, most of all, ideas. In 2001, the foundation acquired the TED Conference, then an annual meeting of luminaries in the fields of Technology, Entertainment and Design held in Monterey, California, and Chris left Future to work full time on TED.
He expanded the conference's remit to cover all topics, including science, business and key global issues, while adding a Fellows program, which now has some 300 alumni, and the TED Prize, which grants its recipients "one wish to change the world." The TED stage has become a place for thinkers and doers from all fields to share their ideas and their work, capturing imaginations, sparking conversation and encouraging discovery along the way.
In 2006, TED experimented with posting some of its talks on the Internet. Their viral success encouraged Chris to begin positioning the organization as a global media initiative devoted to 'ideas worth spreading,' part of a new era of information dissemination using the power of online video. In June 2015, the organization posted its 2,000th talk online. The talks are free to view, and they have been translated into more than 100 languages with the help of volunteers from around the world. Viewership has grown to approximately one billion views per year.
Continuing a strategy of 'radical openness,' in 2009 Chris introduced the TEDx initiative, allowing free licenses to local organizers who wished to organize their own TED-like events. More than 8,000 such events have been held, generating an archive of 60,000 TEDx talks. And three years later, the TED-Ed program was launched, offering free educational videos and tools to students and teachers.
Chris Anderson | Speaker | TED.com