高級 美國腔 646 分類 收藏
開始影片後,點擊或框選字幕可以立即查詢單字
字庫載入中…
回報字幕錯誤
After 13.8 billion years of cosmic history,
our universe has woken up
and become aware of itself.
From a small blue planet,
tiny, conscious parts of our universe have begun gazing out into the cosmos
with telescopes,
discovering something humbling.
We've discovered that our universe is vastly grander
than our ancestors imagined
and that life seems to be an almost imperceptibly small perturbation
on an otherwise dead universe.
But we've also discovered something inspiring,
which is that the technology we're developing has the potential
to help life flourish like never before,
not just for centuries but for billions of years,
and not just on earth but throughout much of this amazing cosmos.
I think of the earliest life as "Life 1.0"
because it was really dumb,
like bacteria, unable to learn anything during its lifetime.
I think of us humans as "Life 2.0" because we can learn,
which we in nerdy, geek speak,
might think of as installing new software into our brains,
like languages and job skills.
"Life 3.0," which can design not only its software but also its hardware
of course doesn't exist yet.
But perhaps our technology has already made us "Life 2.1,"
with our artificial knees, pacemakers and cochlear implants.
So let's take a closer look at our relationship with technology, OK?
As an example,
the Apollo 11 moon mission was both successful and inspiring,
showing that when we humans use technology wisely,
we can accomplish things that our ancestors could only dream of.
But there's an even more inspiring journey
propelled by something more powerful than rocket engines,
where the passengers aren't just three astronauts
but all of humanity.
Let's talk about our collective journey into the future
with artificial intelligence.
My friend Jaan Tallinn likes to point out that just as with rocketry,
it's not enough to make our technology powerful.
We also have to figure out, if we're going to be really ambitious,
how to steer it
and where we want to go with it.
So let's talk about all three for artificial intelligence:
the power, the steering and the destination.
Let's start with the power.
I define intelligence very inclusively --
simply as our ability to accomplish complex goals,
because I want to include both biological and artificial intelligence.
And I want to avoid the silly carbon-chauvinism idea
that you can only be smart if you're made of meat.
It's really amazing how the power of AI has grown recently.
Just think about it.
Not long ago, robots couldn't walk.
Now, they can do backflips.
Not long ago,
we didn't have self-driving cars.
Now, we have self-flying rockets.
Not long ago,
AI couldn't do face recognition.
Now, AI can generate fake faces
and simulate your face saying stuff that you never said.
Not long ago,
AI couldn't beat us at the game of Go.
Then, Google DeepMind's AlphaZero AI took 3,000 years of human Go games
and Go wisdom,
ignored it all and became the world's best player by just playing against itself.
And the most impressive feat here wasn't that it crushed human gamers,
but that it crushed human AI researchers
who had spent decades handcrafting game-playing software.
And AlphaZero crushed human AI researchers not just in Go but even at chess,
which we have been working on since 1950.
So all this amazing recent progress in AI really begs the question:
How far will it go?
I like to think about this question
in terms of this abstract landscape of tasks,
where the elevation represents how hard it is for AI to do each task
at human level,
and the sea level represents what AI can do today.
The sea level is rising as AI improves,
so there's a kind of global warming going on here in the task landscape.
And the obvious takeaway is to avoid careers at the waterfront --
(Laughter)
which will soon be automated and disrupted.
But there's a much bigger question as well.
How high will the water end up rising?
Will it eventually rise to flood everything,
matching human intelligence at all tasks.
This is the definition of artificial general intelligence --
AGI,
which has been the holy grail of AI research since its inception.
By this definition, people who say,
"Ah, there will always be jobs that humans can do better than machines,"
are simply saying that we'll never get AGI.
Sure, we might still choose to have some human jobs
or to give humans income and purpose with our jobs,
but AGI will in any case transform life as we know it
with humans no longer being the most intelligent.
Now, if the water level does reach AGI,
then further AI progress will be driven mainly not by humans but by AI,
which means that there's a possibility
that further AI progress could be way faster
than the typical human research and development timescale of years,
raising the controversial possibility of an intelligence explosion
where recursively self-improving AI
rapidly leaves human intelligence far behind,
creating what's known as superintelligence.
Alright, reality check:
Are we going to get AGI any time soon?
Some famous AI researchers, like Rodney Brooks,
think it won't happen for hundreds of years.
But others, like Google DeepMind founder Demis Hassabis,
are more optimistic
and are working to try to make it happen much sooner.
And recent surveys have shown that most AI researchers
actually share Demis's optimism,
expecting that we will get AGI within decades,
so within the lifetime of many of us,
which begs the question -- and then what?
What do we want the role of humans to be
if machines can do everything better and cheaper than us?
The way I see it, we face a choice.
One option is to be complacent.
We can say, "Oh, let's just build machines that can do everything we can do
and not worry about the consequences.
Come on, if we build technology that makes all humans obsolete,
what could possibly go wrong?"
(Laughter)
But I think that would be embarrassingly lame.
I think we should be more ambitious -- in the spirit of TED.
Let's envision a truly inspiring high-tech future
and try to steer towards it.
This brings us to the second part of our rocket metaphor: the steering.
We're making AI more powerful,
but how can we steer towards a future
where AI helps humanity flourish rather than flounder?
To help with this,
I cofounded the Future of Life Institute.
It's a small nonprofit promoting beneficial technology use,
and our goal is simply for the future of life to exist
and to be as inspiring as possible.
You know, I love technology.
Technology is why today is better than the Stone Age.
And I'm optimistic that we can create a really inspiring high-tech future ...
if -- and this is a big if --
if we win the wisdom race --
the race between the growing power of our technology
and the growing wisdom with which we manage it.
But this is going to require a change of strategy
because our old strategy has been learning from mistakes.
We invented fire,
screwed up a bunch of times --
invented the fire extinguisher.
(Laughter)
We invented the car, screwed up a bunch of times --
invented the traffic light, the seat belt and the airbag,
but with more powerful technology like nuclear weapons and AGI,
learning from mistakes is a lousy strategy,
don't you think?
(Laughter)
It's much better to be proactive rather than reactive;
plan ahead and get things right the first time
because that might be the only time we'll get.
But it is funny because sometimes people tell me,
"Max, shhh, don't talk like that.
That's Luddite scaremongering."
But it's not scaremongering.
It's what we at MIT call safety engineering.
Think about it:
before NASA launched the Apollo 11 mission,
they systematically thought through everything that could go wrong
when you put people on top of explosive fuel tanks
and launch them somewhere where no one could help them.
And there was a lot that could go wrong.
Was that scaremongering?
No.
That's was precisely the safety engineering
that ensured the success of the mission,
and that is precisely the strategy I think we should take with AGI.
Think through what can go wrong to make sure it goes right.
So in this spirit, we've organized conferences,
bringing together leading AI researchers and other thinkers
to discuss how to grow this wisdom we need to keep AI beneficial.
Our last conference was in Asilomar, California last year
and produced this list of 23 principles
which have since been signed by over 1,000 AI researchers
and key industry leaders,
and I want to tell you about three of these principles.
One is that we should avoid an arms race and lethal autonomous weapons.
The idea here is that any science can be used for new ways of helping people
or new ways of harming people.
For example, biology and chemistry are much more likely to be used
for new medicines or new cures than for new ways of killing people,
because biologists and chemists pushed hard --
and successfully --
for bans on biological and chemical weapons.
And in the same spirit,
most AI researchers want to stigmatize and ban lethal autonomous weapons.
Another Asilomar AI principle
is that we should mitigate AI-fueled income inequality.
I think that if we can grow the economic pie dramatically with AI
and we still can't figure out how to divide this pie
so that everyone is better off,
then shame on us.
(Applause)
Alright, now raise your hand if your computer has ever crashed.
(Laughter)
Wow, that's a lot of hands.
Well, then you'll appreciate this principle
that we should invest much more in AI safety research,
because as we put AI in charge of even more decisions and infrastructure,
we need to figure out how to transform today's buggy and hackable computers
into robust AI systems that we can really trust,
because otherwise,
all this awesome new technology can malfunction and harm us,
or get hacked and be turned against us.
And this AI safety work has to include work on AI value alignment,
because the real threat from AGI isn't malice,
like in silly Hollywood movies,
but competence --
AGI accomplishing goals that just aren't aligned with ours.
For example, when we humans drove the West African black rhino extinct,
we didn't do it because we were a bunch of evil rhinoceros haters, did we?
We did it because we were smarter than them
and our goals weren't aligned with theirs.
But AGI is by definition smarter than us,
so to make sure that we don't put ourselves in the position of those rhinos
if we create AGI,
we need to figure out how to make machines understand our goals,
adopt our goals and retain our goals.
And whose goals should these be, anyway?
Which goals should they be?
This brings us to the third part of our rocket metaphor: the destination.
We're making AI more powerful,
trying to figure out how to steer it,
but where do we want to go with it?
This is the elephant in the room that almost nobody talks about --
not even here at TED --
because we're so fixated on short-term AI challenges.
Look, our species is trying to build AGI,
motivated by curiosity and economics,
but what sort of future society are we hoping for if we succeed?
We did an opinion poll on this recently,
and I was struck to see
that most people actually want us to build superintelligence:
AI that's vastly smarter than us in all ways.
What there was the greatest agreement on was that we should be ambitious
and help life spread into the cosmos,
but there was much less agreement about who or what should be in charge.
And I was actually quite amused
to see that there's some some people who want it to be just machines.
(Laughter)
And there was total disagreement about what the role of humans should be,
even at the most basic level,
so let's take a closer look at possible futures
that we might choose to steer toward, alright?
So don't get be wrong here.
I'm not talking about space travel,
merely about humanity's metaphorical journey into the future.
So one option that some of my AI colleagues like
is to build superintelligence and keep it under human control,
like an enslaved god,
disconnected from the internet
and used to create unimaginable technology and wealth
for whoever controls it.
But Lord Acton warned us
that power corrupts, and absolute power corrupts absolutely,
so you might worry that maybe we humans just aren't smart enough,
or wise enough rather,
to handle this much power.
Also, aside from any moral qualms you might have
about enslaving superior minds,
you might worry that maybe the superintelligence could outsmart us,
break out and take over.
But I also have colleagues who are fine with AI taking over
and even causing human extinction,
as long as we feel the the AIs are our worthy descendants,
like our children.
But how would we know that the AIs have adopted our best values
and aren't just unconscious zombies tricking us into anthropomorphizing them?
Also, shouldn't those people who don't want human extinction
have a say in the matter, too?
Now, if you didn't like either of those two high-tech options,
it's important to remember that low-tech is suicide
from a cosmic perspective,
because if we don't go far beyond today's technology,
the question isn't whether humanity is going to go extinct,
merely whether we're going to get taken out
by the next killer asteroid, supervolcano
or some other problem that better technology could have solved.
So, how about having our cake and eating it ...
with AGI that's not enslaved
but treats us well because its values are aligned with ours?
This is the gist of what Eliezer Yudkowsky has called "friendly AI,"
and if we can do this, it could be awesome.
It could not only eliminate negative experiences like disease, poverty,
crime and other suffering,
but it could also give us the freedom to choose
from a fantastic new diversity of positive experiences --
basically making us the masters of our own destiny.
So in summary,
our situation with technology is complicated,
but the big picture is rather simple.
Most AI researchers expect AGI within decades,
and if we just bumble into this unprepared,
it will probably be the biggest mistake in human history --
let's face it.
It could enable brutal, global dictatorship
with unprecedented inequality, surveillance and suffering,
and maybe even human extinction.
But if we steer carefully,
we could end up in a fantastic future where everybody's better off:
the poor are richer, the rich are richer,
everybody is healthy and free to live out their dreams.
Now, hang on.
Do you folks want the future that's politically right or left?
Do you want the pious society with strict moral rules,
or do you an hedonistic free-for-all,
more like Burning Man 24/7?
Do you want beautiful beaches, forests and lakes,
or would you prefer to rearrange some of those atoms with the computers,
enabling virtual experiences?
With friendly AI, we could simply build all of these societies
and give people the freedom to choose which one they want to live in
because we would no longer be limited by our intelligence,
merely by the laws of physics.
So the resources and space for this would be astronomical --
literally.
So here's our choice.
We can either be complacent about our future,
taking as an article of blind faith
that any new technology is guaranteed to be beneficial,
and just repeat that to ourselves as a mantra over and over and over again
as we drift like a rudderless ship towards our own obsolescence.
Or we can be ambitious --
thinking hard about how to steer our technology
and where we want to go with it
to create the age of amazement.
We're all here to celebrate the age of amazement,
and I feel that its essence should lie in becoming not overpowered
but empowered by our technology.
Thank you.
(Applause)
提示:點選文章或是影片下面的字幕單字,可以直接快速翻譯喔!

載入中…

【TED】麥克斯·泰格馬克: 如何讓人工智慧賦予我們力量,而非受控於它 (How to get empowered, not overpowered, by AI | Max Tegmark)

646 分類 收藏
林宜悉 發佈於 2018 年 7 月 6 日
看更多推薦影片
  1. 1. 單字查詢

    在字幕上選取單字即可即時查詢單字喔!

  2. 2. 單句重複播放

    可重複聽取一句單句,加強聽力!

  3. 3. 使用快速鍵

    使用影片快速鍵,讓學習更有效率!

  4. 4. 關閉語言字幕

    進階版練習可關閉字幕純聽英文哦!

  5. 5. 內嵌播放器

    可以將英文字幕學習播放器內嵌到部落格等地方喔

  6. 6. 展開播放器

    可隱藏右方全文及字典欄位,觀看影片更舒適!

  1. 英文聽力測驗

    挑戰字幕英文聽力測驗!

  1. 點擊展開筆記本讓你看的更舒服

  1. UrbanDictionary 俚語字典整合查詢。一般字典查詢不到你滿意的解譯,不妨使用「俚語字典」,或許會讓你有滿意的答案喔