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The Kind of AI We Actually Need | Van Jones | TED - Video học tiếng Anh
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The Kind of AI We Actually Need | Van Jones | TED
The Kind of AI We Actually Need | Van Jones | TED
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0:04
I am overwhelmed by all the conversations that we’ve been having --
0:10
especially about AI.
0:12
I worry about what we're doing.
0:17
I worry about where we're going.
0:20
I worry that we're in danger of building this brave new world
0:26
with all this data and no wisdom.
0:31
All this data --
0:32
(Applause)
0:33
but no wisdom.
0:35
Is there room for wisdom?
0:38
Where is the wisdom going to come from in this brave new world?
0:42
And so I want to talk about a different kind of AI.
0:45
I want to talk about the AI that's absolutely necessary for us
0:50
to give our children the future they deserve.
0:53
I want to talk about Ancient Intelligence AI.
0:58
I want to talk about Ancestral Intelligence AI.
1:02
Do our ancestors have anything to teach us about entering new eras
1:09
and creating new worlds?
1:11
Or should we just push all the old folks on one side?
1:15
I'm a ninth-generation American,
1:18
but I'm the first one in my family
1:20
that was born with all my rights recognized by this government.
1:23
Why? Why?
1:25
Because my mother and my father did everything they could
1:29
to make sure that I grew up in a better world.
1:31
And I want to do that for my children.
1:34
But I'm afraid ...
1:36
I don't know how to do that.
1:38
I'm worried ...
1:40
because a new human civilization is being born,
1:45
and my children are going to grow up in it.
1:48
And it is very different than the one I was born into.
1:52
I have four children.
1:54
Two of them are still sleeping in diapers.
1:57
Here's reality for them.
1:59
Just as a parent.
2:01
Their first crushes
2:04
probably are not going to be a rock star or an athlete.
2:07
Their first crushes may well be an AI,
2:11
may well be an AI.
2:13
That's a different human civilization than the one I grew up in.
2:16
As they get older, when they decide to start families,
2:19
they might open up a laptop or a holographic interface
2:24
and use biotech tools to design my grandchildren.
2:29
That's a different human civilization.
2:32
With longevity tech, and all these health breakthroughs,
2:36
they might be running marathons at the age of 90 or 120.
2:40
When, heaven forbid, it's time for them to be buried,
2:45
my children, who I'm looking at right now,
2:48
might be buried on the Moon or on Mars,
2:53
because within a hundred years,
2:55
we're going to be a fully spacefaring civilization.
2:57
That's a different human civilization.
3:00
But I have a question about it.
3:01
Will it be human?
3:04
And will it be civilized?
3:06
The world that we are building, will it be human,
3:10
and will it be civilized?
3:12
Will it be a world of human flourishing,
3:14
where all these technologies are helping people do great things?
3:17
Or will be a world where robots with no hearts
3:22
dominate human beings with no agency?
3:26
That's my question.
3:28
Humanity now has a math problem
3:31
that we're going to have to come together to solve,
3:33
just what I would call the adaptation gap.
3:38
Technology is now proceeding on an exponential curve.
3:43
Robotics, biotech, AI, quantum computing, space exploration,
3:49
these technologies are now growing their capability on an exponential curve.
3:54
Some of the breakthroughs
3:57
that would have been the breakthrough of a decade just a few years ago
4:01
are not even the breakthrough of the day.
4:03
Today, you can't even win a Twitter cycle,
4:05
because by noon, something else has come out.
4:07
But humans don't develop that quickly.
4:10
Humans evolve on more of a linear slope.
4:14
Humans are not that much smarter,
4:16
that much that much faster than we were 5,000 years ago,
4:20
let alone five weeks ago.
4:23
And this gap is a gap that terrifies me.
4:26
This is the gap that, if we don't handle it properly,
4:31
can lead to social unrest,
4:34
where people don't have what they need,
4:36
and they're left behind,
4:38
and they feel that the future doesn't need them at all.
4:42
Now what I see a lot of people trying to do
4:45
is to figure out some way to decelerate technology,
4:51
is to figure out some way to use legislation and laws
4:54
to decelerate the technology so we don't get left behind.
4:58
But I have bad news for you.
5:01
I spent a lot of time in Washington, D.C.
5:07
If you think that Congress can catch a train moving that fast
5:12
and do something about it,
5:13
you have never met a US senator, OK?
5:16
(Laughter)
5:17
They're not exactly lickety-split type people.
5:20
So --
5:23
I think the better move is to accelerate humanity.
5:27
I think the better move
5:29
is to accelerate humanity.
5:31
And there's a way to do that,
5:33
but it requires both sides of the tech divide to come back
5:39
to Ancient Intelligence,
5:42
Ancestral Intelligence.
5:44
On the tech side, let me talk to my sisters and brothers
5:46
in the technology community,
5:48
and offer a prayer and an invitation.
5:51
We are going to have to have a new deal between Big Tech and humanity.
5:57
The original New Deal was between government and the people.
6:02
That's where the power was, the power was in government.
6:05
The future used to be written in laws in Washington, D.C.
6:08
Now the future is written in code, in Silicon Valley.
6:12
And so there has to be a new deal, a new agreement,
6:14
a new social contract between Big Tech and human beings.
6:20
But right now, we're not on path to doing that.
6:24
Number one, our tech companies keep telling us things
6:28
that we just don't believe.
6:31
They keep saying, "Well, all this abundance,
6:34
these robots are going to work over overtime,
6:36
everything's going to be fine.
6:38
It's going to be so much abundance. Everything's going to be fine."
6:41
Nobody believes you.
6:42
(Laughter)
6:44
Literally nobody believes you.
6:45
(Applause)
6:47
You can just stop saying that.
6:49
(Applause)
6:50
Abundance by itself doesn't solve your problems.
6:53
By the way, the opposite.
6:55
Just wheeling out a wheelbarrow into this room
6:59
called AI, full of diamonds and gold,
7:02
technically makes the room richer,
7:06
but if I dump it out on this side of the room only ...
7:09
you're not richer.
7:10
You're miserable.
7:13
Abundance without participation,
7:17
abundance without inclusion, feels like scarcity.
7:22
It feels like scarcity.
7:24
You think you're scaling abundance,
7:27
but we experience it as you scaling scarcity.
7:31
If you dump out all the good on one side of the room
7:35
the people on the other side of the room, they're not just miserable.
7:40
At some point, their baby asks them a question.
7:42
"Mommy, Daddy, how come we don't have what they have?"
7:47
And now you're not just unhappy, you're ashamed.
7:51
You're humiliated.
7:52
I've worked in some of the toughest prisons in this world.
7:56
The one thing you don't want to do is take somebody who already has nothing
8:00
and then humiliate them.
8:02
They become the most dangerous person in that prison.
8:05
Even if they only weigh 100 pounds.
8:07
We're not just risking mass unemployment,
8:10
we're risking mass humiliation.
8:13
And that has to be avoided.
8:14
There's another reason that coming back to the people
8:18
who embody Ancestral Intelligence at the grassroots level
8:23
will be helpful:
8:25
because it’d be helpful for you.
8:28
You are in a very difficult situation, if you're in the tech world.
8:33
You have tremendous power.
8:35
You have tremendous responsibilities.
8:38
You're not just cofounding companies and cofounding firms.
8:42
You're cofounding a new human civilization.
8:46
And there's a lot of temptation --
8:49
money, fame, power, sex.
8:54
These things can ruin a person.
8:58
These things can ruin a nation.
9:02
And it's the old ways, Ancient Intelligence.
9:08
Don't underestimate those mosques
9:11
and temples and synagogues and churches
9:15
and Native American ceremonies and prayer circles
9:19
for you to come home and get your head on straight.
9:23
Because you being in a greed and speed trap,
9:25
where you feel the only values that matter are greed and speed.
9:31
It is not good for you.
9:33
It’s not good for your decision-making.
9:35
It’s not good for your heart.
9:36
Don't underestimate these little Black churches
9:41
that had nothing but praying hands and marching feet,
9:45
and changed a whole nation.
9:47
Don't underestimate your grandma.
9:50
Don't underestimate ancestral wisdom.
9:52
We need you to come back, and you need us too.
9:56
You need us too.
9:57
There is a way forward together.
10:01
And now on the other side.
10:04
I do want to say something to my friends on the grassroots side.
10:08
Yes, we want our tech folks to come back to Ancestral Intelligence --
10:13
Ancient Intelligence, grassroots intelligence.
10:17
But we've gotten a little bit away from that stuff, too.
10:22
Those of us who work at the grassroots,
10:26
whose hearts are with people who don't have very much,
10:29
whose hearts are with people who have to choose
10:32
between fewer pills or fewer meals this week.
10:36
That's where our hearts are.
10:39
Our hearts are with people
10:40
whose main enemy isn't another rival tech firm,
10:44
it's the check engine light.
10:48
The check engine light.
10:51
When that light comes on,
10:53
and you don't have enough money to go and get your car looked at,
10:56
that's the enemy of the people that we care about.
10:59
And I get it, I get it,
11:01
but I want to say something to my grassroots sisters and brothers.
11:05
We've been a bit much.
11:07
(Laughter)
11:10
We’ve been a bit much this last 10 years.
11:14
We've been kind of hard to be around.
11:18
Been a little bit loose with the name-calling.
11:21
Everybody's a racist and a sexist and a homophobe and a transphobe.
11:27
Everybody's some kind of phobe,
11:29
to the point that now people are phobic about us,
11:31
and don't want to be around us, because we're calling people out,
11:37
and forget, sometimes, to call them in and to call them up.
11:41
We forget, on the grassroots side --
11:44
(Applause)
11:45
We --
11:46
(Applause)
11:47
You know, we say we're holding people accountable,
11:51
but are we holding people?
11:54
Are we holding people?
11:56
I think we replaced "I have a dream"
12:01
with "I have a complaint."
12:03
(Laughter)
12:07
That wasn't a speech.
12:09
That wasn't a speech.
12:11
We forget that Dr King was a futurist.
12:16
He wasn't talking about history.
12:18
Dr King was trying to make tomorrow better.
12:21
Don't get temporal dissociation.
12:23
Dr King was a futurist trying to make tomorrow better.
12:27
That's why we love him.
12:28
And he said he has "a dream."
12:31
A dream is about tomorrow.
12:33
And the thing about it, Ancestral Intelligence
12:36
... is when you have a dream,
12:38
and you’re trying to make something very hard happen,
12:41
you don’t want to multiply enemies.
12:45
You don't want to cancel anybody.
12:47
You don't want to call anybody out.
12:49
When you have a dream for your children and a dream for all children,
12:54
and a dream for the children of all species,
12:57
you want to multiply friends.
13:01
You want to multiply friends.
13:03
And so any politics
13:04
that has us calling people out and multiplying enemies
13:09
is not consistent with Ancestral Intelligence.
13:13
And so both sides have to come back to the table
13:17
and create a new world,
13:19
a new human civilization that is human and is civilized.
13:23
What would it look like?
13:24
It would look like more incubators and accelerators
13:29
and venture studios and funds
13:31
directed to pairing up grassroots folks and engineers,
13:38
people with knowledge of technology,
13:41
but also knowledge of what's happening at the grassroots level.
13:44
It would look like Andre Peart, who was formerly incarcerated,
13:48
paired up with engineers, built something called Untapped Solutions.
13:52
They built a LinkedIn for formerly incarcerated people,
13:55
getting people off the street and employed.
13:57
Now they're deploying AI agents to help social workers.
14:01
Noella Sudbury, a lawyer, teamed up with engineers,
14:05
using AI to expunge people's prison records.
14:09
It would look like Phaedra Ellis-Lamkins and Diana Frappier at Promise.
14:14
They have built a billion-dollar company to help government not be more lethal,
14:20
but more frugal and more helpful.
14:22
It would look like Tadzio Smith, my buddy at Rapport,
14:27
a company backed by Reid Hoffman that I'm supporting,
14:31
that's using AI to increase EQ, and not just IQ, inside of firms.
14:37
It would look like John Hope Bryant,
14:39
who just launched HOPE AI to get thousands of grassroots people AI-literate.
14:45
He's going to get a billion people literate in AI in the next ten years,
14:50
so we can create even more companies.
14:52
It would look like hope.
14:54
It would look like hope.
14:56
And so what I want to say to you, in closing, is this.
15:02
On the tech side,
15:05
a little less greed and speed.
15:08
A little bit more sharing and caring on the grassroots side,
15:14
a little bit less shame and blame, a little bit more space and grace.
15:21
If we put those two things together,
15:24
what we'll have is a movement that has so much magic and so much genius,
15:31
and so much hope and so much love,
15:34
and so much power
15:36
that what we create out of that will, believe it or not,
15:41
someday be the Ancestral Intelligence
15:46
for our children.
15:49
Thank you very much.
15:50
(Cheers and applause)
