How to find a wonderful idea OK Go

(Dominoes fall)

(Toy car)

(Ball rolls)

(Music: “This Too Shall Pass”)

(Singing)

You know you can’t keep
letting it get you down,

and you can’t keep dragging
that dead weight around.

If there ain’t all that much to lug around

better run like hell
when you hit the ground

When the morning comes

When the morning comes

You can’t stop these kids from dancing,

but why would you want to,

especially when you’re
already getting yours?

(Xylophone)

(Singing) ‘Cause if your mind
don’t move and your knees don’t bend,

well don’t go blaming the kids again.

(Xylophone)

(Singing) When the morning comes

When the morning comes

When the morning comes

When the morning comes

When the morning comes

When the morning comes

(Xylophone)

(Singing) Let it go,

this too shall pass

Let it go,

this too shall pass

You know you can’t keep
letting it get you down,

you can’t keep letting it get you down –

this too shall pass

If there ain’t
all that much to lug around,

you can’t keep letting it get you down –

this too shall pass

When the morning comes –

you can’t keep letting it get you down,

no you can’t keep letting it

When the morning comes –

you can’t keep letting it get you down,

no you can’t keep letting it

When the morning comes –

you can’t keep letting it get you down,

no you can’t keep letting it

When the morning comes –

you can’t keep letting it get you down,

no you can’t keep letting it

When the morning comes

(Paint guns fire)

(Applause)

Damian Kulash:
Thank you, thanks very much.

We are OK Go,

and we’ve been together
as a band since 1998.

But in the last decade,

we’ve become known as much
for the elaborate music videos,

like the one we just saw,

as for the songs they accompany.

So we will play along with another
one of those in a few minutes,

but in the meantime,

we want to address this question
that we get asked all the time

but we’ve really never come up
with an adequate answer for it,

and that is, how do we
think of those ideas?

The videos are not all
Rube Goldberg machines, by the way.

Last year we did a dance in zero gravity,

and once we set up an obstacle course

out of thousands of musical
instruments in the desert,

and then played them
by stunt driving a car through them.

(Laughter)

For one of the videos,

we choreographed
hundreds of people with umbrellas

in an abandoned parking lot outside Tokyo,

and then filmed them from a drone
a half a mile in the air.

So it’s all of these ideas
that people are curious about,

and the reason we’ve had so much trouble
describing how we think of these ideas

is that it doesn’t really feel
like we think of them at all.

It feels like we find them.

And by way of explanation –

well, I have a compulsive habit.

I play parallax and perspective games
with my eyes pretty much all the time,

and it’s something I’ve been doing
since I was a teenager.

And I think the big contributing
factor may have been

that this is how I decorated
my high school bedroom.

(Laughter)

And being a teenager,

what I did in there, of course,
was just talk on the phone

for staggering amounts of time.

So I was in this visual maelstrom

just pretty much
usually sitting in one place,

and I guess just
the overload in general –

my brain kind of tried
to make sense of it, and I would –

If I could move my head off
to one side a little bit,

the edge of the desk
would line up just perfectly

with that poster on the opposite wall;

or if I put my thumb out,

I could close first my left eye
and then my right,

and my thumb would bounce back and forth

between Jimi Hendrix’s
left eye and his right.

(Laughter)

It was not a conscious thing, of course,

this is just kind of the equivalent
of doodling while you’re talking,

and it’s still something
I do all the time.

This is my wife, Kristin –

(Applause)

Yeah!

Woo!

And it’s not uncommon
that we are out at dinner,

and in the middle of a great conversation
she’ll just stop mid-sentence,

and when she stops is when I realize
that I’m the one who’s acting weird

because I’m like bobbing and weaving.

And what I’m trying to do
is get that ficus back there

to stick out of her head like a ponytail.

(Laughter)

The point of telling you
all this is that –

for me this is what it feels like
to have an idea.

It’s like they’re made
of these disparate parts,

these disparate chunks
sort of floating out there.

And if you’re receptive
and you’re observant,

and crucially, if you’re
in exactly the right place,

you can get them to just line up.

So if you get used to –

if it’s your job
to think of ideas this way,

they’ll start beckoning to you

the way that Jimi’s eyes
beckoned from that poster,

or the ficus beckons
from behind Kristin’s head.

Writing music feels like that process
just over and over again,

like you’ve got a bunch of sounds
or a groove or a chord progression

and you’re just looking
for that thing on the other side,

that little chunk over there,
that puzzle piece that clicks right in.

And when it does click,

it doesn’t feel like you
thought up that puzzle piece,

it feels like you found it –

like it was a set of relationships
that you unlocked.

But with the videos in particular,

we’re usually looking
for this specific feeling

which is wonder.

And there’s always a component
of surprise to wonder,

so we’re not just looking for good ideas,

we’re looking for good ideas
that surprise us in some way.

And this causes something of a problem,

because …

the process that we all use to make stuff,

it actually has a very strong bias
against surprising ideas.

The process I’m talking about
is the one you all know –

we all do it all the time.

You think of an idea.

You just sit and think
of your brilliant idea

and then you come up with a plan

for how you’re going to make
that idea happen.

And then with that plan in mind,

you go back and double-check
your original idea

and maybe revise it,

and then bouncing back and forth
between the idea and the plan,

the plan and the idea,

eventually you come up
with a truly great plan.

And then once you have that,
and only then,

do you go out and you execute.

And this is like –

this is sort of a flawless system

in terms of maximizing your resources,

because this – super cheap.

Thinking usually costs very little,

but this is really expensive
most of the time,

so by the time you get there,

you want to make sure
you’re super prepared

and you can squeeze every last drop
out of what you’ve got.

But there are problems with this,

and math will help us
reveal the biggest one.

Go back to that video
that we just showed you.

That Rube Goldberg machine,

it had about 130 interactions in it.

That was 130 things

that we had to have go
according to our plan.

So let’s assume that we want
to make a new video now,

similarly complex – 130 moving parts.

If we’re really good planners
in that system,

it seems like maybe
we could be good enough

to get every part of that system
to be 90 percent reliable.

90 percent sounds good, right?

Well, it’s not.

It’s terrible actually.
The numbers say so.

The chance of getting all 130 things
to not fail at the same time

is .9 for 90 percent to the 130th power.

So calculate that out and you get …

(Ding)

.000001,

which is one ten-thousandth
of one percent,

so your chance for success
is literally one in a million.

(Whistle)

(Laughter)

I mean that’s not a gamble I want to take,

so let’s ratchet up
that reliability to 99 percent.

.99 to the 130th power is …

(Ding)

.27 – 27 percent.

Significantly less daunting –

like this might even be usable.

But really think about that.

How many parts of your lives
are 99 percent reliable?

And could you really get 130 of them
all in one place at once?

And if you really could,

doesn’t it seem
like you deserve to succeed?

Like that is –

that thing is going to work, right?

But no, it actually fails three times
more often than it succeeds.

So the upshot of all this

is that if your project
is pretty complex –

like, you know,
every ambitious project is –

if you’ve got a lot of moving parts,

you’re basically constrained
to just reshuffling ideas

that have already demonstrably
proven that they’re 100 percent reliable.

So now go back to me sitting
with my thumb in the air

trying to line up something surprising.

If the only things I’m allowed
to consider in the first place

are ideas that have already been done
over and over and over again,

I am screwed.

However, there are ways around this,

because we all know that there are
tons of untried ideas still out there,

and plenty of them will turn out
to be every bit as reliable as we need,

it’s just that we don’t yet know
they are reliable

when we are at this planning phase.

So what we do is we try
to identify some place

where there might just be
a ton of those untried ideas.

We try to find a sandbox

and then we gamble
a whole bunch of our resources

on getting in that sandbox and playing.

(Laughter)

Because we have to trust
that it’s the process in the sandbox

that will reveal to us
which ideas are not only surprising,

but surprisingly reliable.

So some of the sandboxes
that we’ve started videos with.

Let’s play with optical illusions.

Let’s try to dance on moving surfaces.

Let’s try to make toast
with a laser cutter.

Or let’s do something in one
of those zero-gravity airplanes.

But then instead
of actually trying to sit there

and think out what that something is,

we spent a full third of our budget
getting in an actual Vomit Comet

and bouncing off the walls for a week.

So this may seem to you like testing,

but it really isn’t,

because at this point
we don’t yet know what our idea is,

we don’t have a plan to be testing.

So we’re just –

we’re just playing,

we’re just trying everything
we can think of,

because we need to get this idea space
filled up with a chaos

like the one in my high school bedroom.

Because then, if we can
do the bob and weave thing,

if we can put our thumbs up
and get just a few things to line up –

(Ding)

chances are no one else has ever made
those same things line up before.

And when we’re done with that project,

people will ask us again
how we thought of that idea,

and we’ll be stumped,
because from our perspective,

it doesn’t feel like
we thought of it at all,

it just feels like we found it.

So we’ll play another video for you now
and the song along with it.

This is for the song “The One Moment,”

and for this one,
the sandbox was ballistics and math.

So I spent a full month putting together
a giant spreadsheet for this.

It was like my playspace
was 400 lines long

and 25 columns wide –

which I presume that if anybody is going
to understand that, it’s this crowd.

(Laughter)

Nothing is better
than a giant spreadsheet, right?

(Laughter)

Well, thank you everyone, very much.

We are OK Go,

and this is called “The One Moment.”

(Applause)

[The One Moment]

(Explosions)

[What you just saw was real

and it took 4.2 seconds]

(Video) Let me know when it’s safe.

(Percussion)

[Here’s the same moment …

slowed down.]

(Music)

(Guitar)

(Singing) You’re right,

there’s nothing more lovely,

there’s nothing more profound

than the certainty,

than the certainty
that all of this will end

That all of this will end

So open your arms to me,

open your arms to me

And this will be
the one moment that matters,

and this will be
the one thing we remember,

and this will be
the reason to have been here,

and this will be
the one moment that matters –

Oh …

(Guitar)

(Singing) So while the mud
reclaims our footprints,

and while our bones keep looking back

at the overgrowth
that’s swallowing the path –

but for the grace of God go we,

but for the grace of God go we

But for the grace of time and chance
and entropy’s cruel hands –

So open your arms to me,

open your arms to me

And this will be
the one moment that matters,

and this will be
the one thing we remember,

and this will be
the reason to have been here,

and this will be
the one moment that matters

Oh …

So won’t you stay here with me

and we’ll build
‘til we’ve blistered our hands

So won’t you stay here with me
and we’ll build us some temples,

build us some castles,

build us some monuments

and burn them all right down

(Music)

(Singing) So open your arms to me

And this will be
the one moment that matters,

and this will be
the reason to have been here,

and this will be
the one thing we remember,

and this will be
the one moment that matters

So won’t you stay here with me,

we’ll build ‘til we blister our hands

And this will be
the one moment that matters –

So won’t you stay here with me
and build us some temples –

This will be the one
moment that matters –

Build us some temples –

The one moment that matters –

Build us some monuments –

The one moment that matters

Build us some temples –

The one moment that matters.

Build us some monuments –

The one moment that matters, oh

(Guitar)

(Applause)

(多米诺骨牌倒下)

(玩具车)

(滚球)

(音乐:“This Too Shall Pass”)

(唱歌)

你知道你不能一直
让它让你失望

,你不能一直拖着
那个自重。

如果没有那么多东西可以拖着,

最好
当你撞到地上

时像地狱一样奔跑当早晨来临时

当早晨来临时

你无法阻止这些孩子跳舞,

但你为什么要这样做,

尤其是当你
已经得到你的了?

(木琴)

(唱歌) 因为如果你的头脑
不动,你的膝盖不弯曲

,那就不要再去责怪孩子了。

(木琴)

(唱)

天亮了

天亮了

天亮了

天亮了

天亮了

天亮了 会过去的

你知道你不能一直
让它让你失望,

你不能一直让它让你失望——

这也会过去

如果没有
那么多东西可以拖着,

你不能一直让它 让你失望——

这也会过去

当早晨来临时——

你不能一直让它让你失望,

不,你不能一直让它让你失望

当早晨来临时——

你不能一直让它让你失望 ,

不,你不能一直让它

当早晨来临时——

你不能一直让它让你失望,

不,你不能让它一直让它

当早晨来临时——

你不能一直让它让你失望 ,

不,你不能一直让它

当早晨来临时

(油漆枪开火)

(掌声)

Damian Kulash:
谢谢,非常感谢。

我们是 OK Go,

自 1998 年以来我们一直作为一个乐队在一起。

但在过去的十年里,

我们
以精心制作的音乐视频而闻名,

就像我们刚刚看到的

那样,以及它们所伴随的歌曲。

所以我们将
在几分钟内与另一个人一起玩,

但与此同时,

我们想解决这个问题
,我们一直被问到,

但我们真的从来没有
想出一个足够的答案,

而且 是,我们如何
看待这些想法?

顺便说一句,这些视频并不都是 Rube Goldberg 机器。

去年我们做了一个零重力的舞蹈,

有一次我们在沙漠中用成千上万的乐器搭建了一个障碍赛场

然后
通过特技驾驶汽车来演奏它们。

(笑声)

对于其中一个视频,

我们

在东京郊外的一个废弃停车场为数百名撑着雨伞的人编排,

然后在半英里外的一架无人机上拍摄了他们

所以人们对所有这些想法
感到好奇,

而我们在
描述我们如何看待这些想法时遇到这么多麻烦的原因

是,我们根本感觉不到
它们。

感觉就像我们找到了他们。

顺便解释一下——

嗯,我有一个强迫症的习惯。

我几乎一直用眼睛玩视差和透视游戏

,这是我从十几岁开始就一直在做的事情

而且我认为最大的贡献
因素可能是

这就是我装饰
高中卧室的方式。

(笑声

) 作为一个十几岁的孩子,

我在那里所做的,当然,
只是在电话

上交谈了很多时间。

所以我在这个视觉漩涡中

只是
通常坐在一个地方

,我猜只是
一般的超载——

我的大脑
试图理解它,我会——

如果我能把头
移到 一边一点点,

桌子的边缘

与对面墙上的海报完美对齐;

或者,如果我伸出拇指,

我可以先合上左眼
,然后再合上右眼

,我的拇指就会

在 Jimi Hendrix 的
左眼和右眼之间来回弹跳。

(笑声)

当然,这不是有意识的事情,

这相当于
在你说话的时候涂鸦

,这仍然是
我一直在做的事情。

这是我的妻子,克里斯汀——

(掌声)

是啊!

哇!

我们出去吃晚饭的情况并不少见

,在一场精彩的谈话中,
她会在句子中间停下来

,当她停下来的时候,我
意识到我是那个表现得很奇怪的人,

因为我喜欢 摆动和编织。

我想要做的
是让那棵

榕树像马尾辫一样从她头上伸出来。

(笑声

) 告诉你们
这一切的目的是——

对我来说,这就是
有想法的感觉。

就好像它们是
由这些不同的部分组成的,

这些不同的块
有点漂浮在那里。

如果你乐于接受
并且善于观察,

而且至关重要的是,如果你
在正确的地方,

你可以让他们排队。

所以如果你习惯了——

如果你的工作
是这样思考想法,

它们就会开始向你招手,

就像 Jimi 的眼睛
从那张海报招手,

或者榕树
从 Kristin 的脑后招手一样。

写音乐感觉
就像一遍又一遍的过程,

就像你有一堆声音
,一个律动或一个和弦进行

,你只是
在另一边寻找那个东西,

那个小块,
那个谜

当它发出咔嗒声时,

感觉不像是你
想出了那个拼图,

感觉就像你找到了它——

就像它是一
组你解锁的关系。

但尤其是视频,

我们通常会寻找

这种奇妙的特定感觉。

总有
令人惊奇的部分令人好奇,

所以我们不只是

在寻找好主意
,我们还在寻找以某种方式让我们感到惊讶的好主意。

这引起了一些问题,

因为……

我们都用来制作东西的过程,

它实际上
对令人惊讶的想法有非常强烈的偏见。

我所说的
过程是你们都知道的——

我们一直都在这样做。

你想到一个主意。

您只需坐下来
思考您的绝妙想法

,然后

就如何
实现该想法制定计划。

然后考虑到那个计划,

你回去仔细检查
你最初的想法

,也许会修改它,

然后
在想法和计划

、计划和想法之间来回切换,

最终你
想出一个真正伟大的 计划。

然后一旦你有了它
,只有到那时

,你才会出去执行。

这就像——

就最大化你的资源而言,这是一个完美的系统,

因为这——超级便宜。

思考通常花费很少,

但大多数时候这确实很昂贵

所以当你到达那里时,

你要确保
你已经做好了充分的准备

,你可以
挤出你所拥有的每一滴。

但这存在问题

,数学将帮助我们
揭示最大的问题。

回到
我们刚刚向您展示的那个视频。

那个 Rube Goldberg 机器,

里面有大约 130 次交互。 按照我们的计划

,这是我们必须完成的 130 件事

所以让我们假设我们现在
要制作一个新的视频,

同样复杂——130 个活动部件。

如果我们真的
是该系统中的优秀规划者,

那么似乎
我们可能

足以让该系统的每个部分都
达到 90% 的可靠性。

90% 听起来不错,对吧?

好吧,事实并非如此。

其实很可怕。
数字是这样说的。

让所有 130 件事情
同时不失败的机会

是 0.9,即 90% 的 130 次方。

所以计算出来,你会得到……

(丁)

.000001,

这是百分之一的十分
之一,

所以你成功的机会
实际上是百万分之一。

(口哨)

(笑声)

我的意思是这不是我想赌的,

所以让我们
把可靠性提高到 99%。

.99 的 130 次方是……

(丁)

.27 – 27%。

显着不那么令人生畏 -

这样甚至可能是可用的。

但真的要好好想想。

你生活中有多少部分
是 99% 可靠的?

你真的可以一次把 130 个
都放在一个地方吗?

如果你真的可以,

难道
你不应该成功吗?

就像那样——

那东西会起作用的,对吧?

但是不,它实际上失败的
频率是成功的三倍。

所以所有这一切的结果

是,如果你的项目
非常复杂——

比如,你知道,
每个雄心勃勃的项目——

如果你有很多活动的部分,


基本上只能重新调整

已经存在的想法。
已证明它们是 100% 可靠的。

所以现在回到我身边
,我的拇指悬在空中,

试图排列一些令人惊讶的东西。

如果一开始我唯一可以考虑的事情是

已经一遍又一遍地完成的想法,那

我就完蛋了。

但是,有一些方法可以解决这个问题,

因为我们都知道
还有大量未尝试过的想法,

其中很多
会变得像我们需要的一样可靠

,只是我们还不知道
它们

当我们处于这个计划阶段时是可靠的。

因此,我们所做的是
尝试找出

可能
存在大量未尝试过的想法的地方。

我们试图找到一个沙盒

,然后我们
将一大堆资源

用于进入该沙盒并进行游戏。

(笑声)

因为我们必须
相信沙盒中的过程

会向我们揭示
哪些想法不仅令人惊讶,

而且令人惊讶地可靠。

因此
,我们开始使用一些沙盒来制作视频。

让我们玩视错觉。

让我们试着在移动的表面上跳舞。

让我们试着
用激光切割机做吐司。

或者让我们在其中
一架零重力飞机上做点什么。

但后来我们并没有
真正坐在

那里思考那是什么,

而是花了整整三分之一的预算购买
了一个真正的呕吐彗星,

并在墙上弹了一周。

所以在你看来,这可能像是测试,

但实际上并非如此,

因为此时
我们还不知道我们的想法是什么,

我们没有计划进行测试。

所以我们只是——

我们只是在玩,

我们只是在尝试
我们能想到的一切,

因为我们需要让这个想法空间
充满混乱,

就像我高中卧室里的那样。

因为那样的话,如果我们
能做鲍勃和编织的事情,

如果我们能竖起大拇指
,把一些东西排成一行——

(丁)

很有可能以前没有人做过
同样的事情。

当我们完成那个项目时,

人们会再次问我们是
如何想到这个想法的

,我们会被难住的,
因为从我们的角度来看,

我们根本没有
想到它,

只是感觉 就像我们找到它一样。

因此,我们现在将为您播放另一个视频
和歌曲。

这是为歌曲“The One Moment”准备的,

而对于这首歌曲
,沙盒是弹道学和数学。

所以我花了整整一个月的
时间为此整理了一个巨大的电子表格。

就像我的游戏空间
有 400 行长

和 25 列宽

——我想如果有人
要理解这一点,那就是这群人。

(笑声)

没有什么
比一个巨大的电子表格更好的了,对吧?

(笑声)

好的,非常感谢大家。

我们OK Go

,这就是所谓的“The One Moment”。

(掌声)

[那一刻]

(爆炸)

[你刚才看到的是真实

的,花了4.2秒]

(视频)让我知道什么时候安全。

(打击乐)

[在同一时刻……

放慢速度。]

(音乐)

(吉他)

(唱歌)你说得对,

没有什么比确定性更深奥了,

没有什么

比确定性更

深刻的了 结束

所有这一切都将结束

所以向我张开双臂,

向我张开双臂

这将是重要
的时刻,

这将是
我们记住的一件事

,这将是
来到这里的原因,

这将
是最重要的时刻——

哦……

(吉他)

(歌唱)所以当泥土重新
夺回我们的脚印

,当我们的骨头继续回望吞噬道路

的过度生长时
——

但为了恩典

上帝去吧,但为了上帝的恩典,我们去吧,

但为了时间、机会
和熵残酷之手的恩典——

所以向我

张开你的双臂,向我张开你的双臂

这将
是最重要的时刻,

而这 将是
我们记得的一件事

,这将是
来到这里的原因

,这将
是重要的时刻

哦……

所以wo 你不和我待在这里

,我们会
建造直到我们的手起泡

所以你不会和我待在这里
,我们会为我们建造一些寺庙,

建造一些城堡,

建造一些纪念碑

并烧毁我们 他们都没事了

(音乐)

(唱歌)所以向我张开双臂

这将是
重要的时刻

,这将是
来到这里的原因

,这将是
我们记住的一件事

,这将
成为最重要的时刻

所以你不会和我待在这里,

我们会建造直到我们的手起泡

这将
是最重要的时刻 -

所以你不会和我一起留下来为
我们建造一些 寺庙 –

这将是重要的
时刻 – 为

我们建造一些寺庙 –

重要的时刻 – 为

我们建造一些纪念碑 –

重要的时刻 为

我们建造一些寺庙 –

重要的时刻。

为我们建造一些纪念碑——

重要的那一刻,哦

(吉他)

(掌声)