Max Hawkins: I let algorithms randomize my life for two years | TED

241,100 views ・ 2021-03-13

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Transcriber:
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譯者: Jing-Ai Huang 審譯者: 麗玲 辛
我以前喜歡在 7 點鐘準時起床。
那時候我住在舊金山,
我會在早上七點醒來,
00:12
I used to love waking up at exactly 7:00am.
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馬上去我最喜歡的咖啡店。
它是我最喜歡的咖啡店, 因為那時候它是最好的咖啡店。
00:17
When I lived in San Francisco,
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00:18
I would wake up right at 7:00am
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我做了研究,它有五顆星,很棒。
00:20
and immediately go to my favorite coffee shop.
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我會喝咖啡,
00:23
It was my favorite coffee shop, because it was the best coffee shop.
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然後騎腳踏車去上班。
我儘量讓我的行程顯得完美。
00:27
I had done the research, it was five stars, it was great.
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00:30
And I would drink my coffee
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例如,我會省一兩秒的時間,
00:32
and get onto my bicycle and ride into work.
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讓行程快一點,
00:35
And I had optimized my schedule to be perfect.
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我才能趕快開始工作。
00:39
I was constantly, like, shaving off one or two seconds
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我那時在 Google 是個軟體工程師,
在很多方面,
00:42
making it slightly faster
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這是我夢寐以求的工作,
00:44
so I could get into work faster.
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我覺得
這就是我人生最終的目標。
00:47
I was working as a software engineer at Google,
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00:50
and in a lot of ways,
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我一直想從事軟體的工作,
00:51
this was my dream job.
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而我終於做到了。
00:53
It felt like this was the thing
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我住在舊金山,
它是我非常喜歡的一座城市,
00:56
that the rest of my life was leading up towards.
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周圍都是像我一樣的人,
00:58
I'd always wanted to work in software
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01:00
and I was finally doing it.
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生活的每一部分都完全符合
01:02
And I was living in San Francisco,
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我的興趣和我想做的事情。
01:04
which is a city that I love,
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01:05
surrounded by people who were like me.
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我非常喜歡。
01:08
And every part of my life was perfectly tailored to my interests,
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有一個工作天,我讀了一份論文,
01:12
the things that I wanted to do.
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一篇關於預測分析的資工論文,
01:15
And I loved it.
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論文的要旨是
01:17
So one day I was at work and I started to read this paper,
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如果你追蹤某人的位置,
01:21
a computer science research paper about predictive analytics.
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像是他在上個月去過的所有地方,
01:24
And the gist of the paper was
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01:28
that if you take someone's GPS trace,
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把這些資訊輸入到機器學習演算法,
01:30
like the listing of all the places that they've been in the past month or so,
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你就能以極高的準確度
預測到他隔天會去的地方。
01:36
and you feed it into a machine-learning algorithm,
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我覺得這蠻酷的。
我當時就想,
如果把我的定位系統軌跡 放在演算法裡,那會怎樣?
01:40
you can predict with fairly high accuracy
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01:42
where they're going to be on the following day.
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會有什麼結果出現?
01:45
And I thought this was kind of cool.
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01:46
And I was thinking, like,
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那時候,我正在跟我的朋友凱利說話,
01:48
what would happen if you put my GPS trace into the algorithm?
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規畫著下班後的行程,
01:52
What would come out the other end?
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我用 Yelp 找到了一個 很好的酒吧,才剛開幕不久,
01:54
So I was talking with my friend Kelly,
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01:56
and we were planning something to do after work that day.
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我正要建議我們去這家酒吧的時候,
我停住了。
02:00
And I got onto Yelp and found this really great bar
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我想起了那個演算法,
02:03
that had just opened up.
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02:05
And I was about to suggest that we go to this bar
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我想,等等!
02:07
when I stopped.
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該不會這酒吧就是演算法猜想 我今晚會去的地方?
02:10
And I started thinking about that algorithm again.
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02:13
And I started thinking, wait a second,
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越想越奇怪,
02:16
isn't this bar exactly where that algorithm would guess
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因為我覺得
這真的是我的決定嗎?
02:19
that I was going to go this evening?
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02:22
And that was kind of weird.
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我知道我是那個做決定的人,是吧?
02:24
Because I thought that I ...
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但是電腦怎麼會知道?
02:27
where was I in that?
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這讓我有點不安。
02:30
I know that I was the one making the choice, right?
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因為我是工程師,
當我面臨到這種問題, 我的直覺是去修復它,
02:33
But how did the computer know about that?
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02:36
So that was a little disturbing.
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讓它解決問題。
02:38
And since I'm an engineer, whenever I have a problem like this,
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所以我決定建立一個程式,
02:43
my instinct is to fix it,
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讓程式決定我當天晚上要去的地方。
02:46
to make something that solves the problem.
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02:49
And so I decided to make an app
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這個程式的流程是
它會搜索所有在 Google 地圖上舊金山的地點,
02:52
that would help me choose where to go on this evening.
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隨機選一個地點,
02:57
And so the way that it works
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它自己會叫優步計程車,
02:59
is that the app looks at all the places
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車子就會到你所在的位置,
03:02
that are on Google maps in the city of San Francisco,
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03:05
and then chooses one at random.
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帶你到某個隨機的地點。
03:07
And then it calls an Uber.
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程式直接告訴司機目的地,
03:09
And that car shows up at your location
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但是不告訴你,
所以你到達目的地的時候 就會是個驚喜。
03:14
and takes you to that random place.
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(笑聲)
03:16
It tells the Uber driver where the random place is,
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我傳簡訊給凱利說, 我們應該用這個程式。
03:19
but tells you nothing.
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03:20
And so it's a big surprise when you arrive.
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我們踫面,按下了按鈕,
03:23
(Laughter)
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突然,奇蹟似的,
03:25
And so I texted Kelly and I said, "We should do this."
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優步司機就在我家的門口。
03:28
We met up and pressed the button.
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我們上了車,
很快地前往某個 我們都不知情的舊金山景點,
03:31
And suddenly, miraculously,
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03:34
there was an Uber driver at my apartment door.
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一個我們以前從未去過的城鎮。
03:37
So we got in
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03:38
and very quickly started heading to a part of San Francisco
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當司機先生說我們抵達了目的地,
03:43
that neither of us really knew.
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我們以為這只是個玩笑。
03:45
It was a part of town that we just had never been in before.
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我們出現在這座樸素的磚砌建築前,
03:49
And when the driver told us we had reached our destination,
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前面有一道鍛鐵圍欄,
03:52
we thought it must have been a joke.
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和一個標誌,寫著 舊金山總醫院精神科急診中心。
03:55
We showed up in front of this austere brick building
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03:58
with a wrought iron fence in front of it,
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(笑聲)
04:01
and a sign that said the words
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也許這很合適,
04:03
San Francisco General Hospital, Psychiatric Emergency Center.
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也許吧。
(笑聲)
我們覺得這個很好笑,
04:07
(Laughter)
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也很令人振奮,
04:10
Which, maybe that's pretty appropriate,
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因為我們去了一個 我們本來不會去的地方,
04:12
I don't know.
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04:13
(Laughter)
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04:15
But we thought it was funny.
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在星期五晚上做一些不同的事情。
04:17
But it was also exhilarating
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04:19
because here we were,
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(笑聲)
我迷上了這件事,
04:21
in this place that we never would have gone to otherwise,
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我開始使用這個程式,
04:24
doing something really different on a Friday night.
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走遍整個舊金山,
04:27
(Laughter)
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我隨機地去了博物館、
04:29
And I was hooked,
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超市、酒吧、保齡球場和花店。
04:30
I started using this app
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04:34
to go to all different places in San Francisco.
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我開始發現
04:36
I went to museums randomly,
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有好大一部份的舊金山
04:38
random grocery stores, random bars, random bowling alleys,
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因為我自己的偏好被忽略了。
04:41
random florists.
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04:43
And I started discovering
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04:44
that there was an entire side to San Francisco
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我就開始想,
04:46
that I had been ignoring because of my preference.
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我如何把這個發現融入我的生活裡?
所以我開始建立 其他涉及隨機性的實驗。
04:52
And then I started thinking,
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我做了一個隨機 YouTube 影片生成器、
04:54
how else can I apply this concept to my life?
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一個隨機計畫生成器和
一個隨機飲食俱樂部,
04:58
And so I started building other experiments that involved randomness.
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它會每週從我的飲食中 隨機刪去某種食物。
05:01
I made a random YouTube video generator,
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(笑聲)
05:03
a random schedule generator,
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這是累加性的,所以到最後 你什麼都沒得吃。
05:05
a random diet club
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05:06
that would randomly eliminate a food from my diet each week.
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(笑聲)
隨機紋身生成器、
05:10
(Laughter)
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一個隨機的 Spotify 播放列表、
05:13
And it's cumulative, so eventually you just can't eat.
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隨機的 Podcast 和
一種印表機,可以印出 隨機建議要做的事情。
05:16
(Laughter)
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05:18
Random tattoo generator,
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(笑聲)
05:20
a random Spotify playlist,
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一個隨機的臉書活動生成器。
05:22
random podcast,
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運作的方式是這樣的,
05:24
a printer that prints out random suggestions of things to do.
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在像維也納這樣的城市裏, 每天會有上百個臉書活動,
05:27
(Laughter)
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05:29
A random Facebook event generator.
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正在公開進行。
05:31
And the way that this one works
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程式會隨機選擇一個活動,
這就是你今晚的活動。
05:33
is that in a city like Vienna on a given day,
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所以我去了--
05:36
there are hundreds of Facebook events --
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(笑聲)
05:38
public Facebook events -- that are going on.
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05:40
So it would choose one at random and say,
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05:42
this is your plan for tonight.
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所以我去參加了喬的生日、
05:43
And so I ended up showing --
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05:45
(Laughter)
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八年級樂隊演奏會、 國際象棋俱樂部、卡車司機學校。
05:51
And so I'd show up at events like Joe's birthday,
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這非常的有趣,
因為這些是我一無所知的團體
05:54
the eighth grade band recital, chess club, truck drivers school.
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正在舉辦令人驚奇的活動,
談論著他們關心的事情。
05:59
And it was really interesting
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我就在那裡。
06:01
because these were communities that I knew nothing about
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06:04
but were having amazing events
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過了一陣子,
我有機會將我的工作轉成自由業者,
06:06
to talk about things that they cared about.
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06:08
And there I was.
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因此我的居住地有了更大的彈性。
06:12
After a while,
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於是我決定,
06:14
I had the opportunity to transition my work into freelance,
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也許可以讓電腦選定
06:16
which gave me a lot more flexibility about where I lived.
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我要住的地方?
因此,我寫了一個程式,
06:21
And so I decided,
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讓它找出所有我可以居住的城市,
06:22
you know, what if I could let the computer decide
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在我的預算範圍內
06:25
what part of the world I lived in?
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隨機地選一個地方來住。
06:27
And so I wrote a program that figured out
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我開始了這樣的生活,
這個程式把我送到世界各地。
06:30
every city that it was possible for me to live in,
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台灣的台北、
06:32
given my budget,
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06:33
and then chose one at random.
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印度的孟買、杜拜,
06:35
And I started living this way
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一些甚至對於美國人來說 也算很偏僻的地方,
06:37
and it sent me all over the world.
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像是德國的埃森和 斯洛文尼亞的戈爾蒂納。
06:40
Taipei, Taiwan,
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06:41
Mumbai, India, Dubai.
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06:44
Even places that for an American are really off the beaten path,
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每次我去到一個新的城市,
我會跟我在舊金山 做一樣的事情,
06:47
like Essen, Germany and Gortina, Slovenia.
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隨機地去參加活動、認識人們。
我會在那裡住兩到三個月,
06:53
And every time I would go to a new city,
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然後再次請電腦選擇下一個地點,
06:55
I would do the same sort of stuff I was doing in San Francisco,
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我持續了兩年。
06:58
go to random events, meet random people.
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07:00
And I'd live there for two to three months
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矛盾的是,把控制權交給機器,
07:02
and then ask the computer again for the next location.
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07:05
I did this for two years.
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比我自己做決定時,覺得更自由。
07:09
Paradoxically, giving up control to this machine
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因為我發覺
我的偏好會讓我對這世界的複雜性 和豐富性視而不見。
07:15
actually made me feel more free than when I was making choices,
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07:19
because I discovered that ...
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跟隨著電腦的腳步,
我更勇於跳脫舒適圈,
07:22
My preference had blinded me from the complexity
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去探索一些我之前忽略的經驗,
07:25
and the richness of the world.
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只因為我覺得 那些事太奇怪或不適合我。
07:28
And following the computer gave me the courage
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07:30
to live outside of my comfort zone,
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07:32
to discover parts of the human experience that I ignored
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我後來在印度的孟買住了一陣子,
07:35
because they were too different
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07:37
or not for me.
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參加了很多臉書上的活動。
07:42
I ended up in Mumbai, India for a while,
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有一天,電腦安排我去上瑜珈課,
07:45
and I was going to a lot of Facebook events when I was there.
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我真的不擅長瑜伽,
但我還是去了。
07:51
And one day, the computer sent me to this yoga class
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當我彎下身做下犬式時,
07:54
and I'm really bad at yoga,
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我突然有個體悟。
07:57
but I went anyway.
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我在想
08:00
I found myself descending into a downward dog
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這個隨機選擇令我感到自由,
08:04
when I had a revelation.
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讓我跳脫我的舒適圈。
08:08
Because I was thinking about, you know,
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但它真的有多隨機?
08:10
this random stuff is really freeing,
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因為這並不是我在孟買的 第一次瑜珈活動,
08:13
it's sort of putting me outside of my bubble, my comfort zone.
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已經是一週中第三次了。
08:17
But really how random is it?
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(笑聲)
08:20
Because this was not my first yoga event in Mumbai.
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如果你仔細想想,
你能看出這模式,並不出奇
08:24
In fact, it was my third that week.
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08:26
(Laughter)
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因為我從中隨機選擇的列表 本來並非隨機。
08:30
And if you think about it,
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08:31
it's not surprising that you see patterns like this.
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一座城市裏進行的臉書活動
08:34
Because I was choosing randomly
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深深受到那座城市的影響。
08:37
from a list of things that was decidedly not random.
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仔細想想,每當你做一個決定,
08:41
The list of Facebook events that are happening in a city
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08:43
is very influenced by the things that are going on in a city like that.
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你並不是自己創出那個選項,
而是從一個列表,由他人設計好的 選項當中,做選擇。
08:47
And if you think about it, every time you make a choice,
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08:51
you're not just making it on your own.
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即使你做的決定是自由的,
08:53
You're selecting from a list,
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08:55
a menu of choices
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它難免會受到社會結構、 習俗和歷史的拘束,
08:57
that was designed by someone or something else.
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09:01
And whatever freedom that you have in that choice
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而對你的選擇會有所影響。
09:04
is necessarily constrained by social structures, customs and history
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當初我以為這是我跳脫舒適圈的方法,
09:10
that provide the context for that selection.
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超越我自己,超越我的偏好。
09:15
So initially, I thought of this as a way of getting outside of my bubble.
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但最終,我開始有不一樣的想法,
我開始把它當成一種拍照的方式。
09:19
As, you know, transcending myself, my preference.
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像是我在孟買的時候,
09:24
But eventually I started to think about it differently.
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我參加瑜珈活動的機率會比較大。
09:27
I started to think about it as a way of taking a photograph.
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但是如果我在維也納,
也許參加音樂活動的可能性就更大。
09:31
When I was in a place like Mumbai,
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09:33
it was more likely that I would show up at a yoga event.
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每次我在一個城市裡 隨機選事情來做時,
09:36
But if I was in Vienna,
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我就是在問﹔
09:38
maybe a music event would be more likely.
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09:41
Every time that I was choosing randomly in a city,
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「孟買,你的特色是什麼?」
答案就會告訴我那個城市的結構
09:45
what I was doing was making an inquiry, asking,
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和我與它的關係
09:49
"Mumbai, tell me what you're about."
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以及它與世界其他地方的關係。
09:53
And then the answer would tell me something about the structure of that city
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因此,我…
09:56
and my relationship to it
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我原本準備了一個非常簡潔的結尾,
09:57
and its relationship with the rest of the world.
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但是上台後,我決定 不用這個結尾,因為
10:02
And so I ...
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10:05
I had, like, a really tidy ending for this previously.
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我覺得 TED 演講常有個問題,
10:10
And as I was coming up here, I decided to scrap it, because ...
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演講結尾簡潔有力,
所以離開現場的時候,你不用再思考,
10:16
You know, I think that, like, a problem with TED Talks often
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10:20
is that they wrap up in a tidy bow
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最後,你就覺得一切都沒問題。
10:24
and then you can go away without really thinking about it.
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而我認為,
我們居住的世界還有很多真實難題。
10:29
You can sort of just --
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10:30
It feels like everything is OK at the end.
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10:33
And I think ...
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而我認為,我們被演算法控制的 這個問題是很重要的難題之一。
10:37
In the world that we're living in,
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10:39
there are a lot of real problems.
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例如,我們正在討論
10:43
And I think that these questions of algorithmic control
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臉書在美國大選的角色。
10:48
play a lot into them.
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很多問題都跟演算法 控制我們生活的方式有關。
10:51
We're talking right now about the role
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10:53
that Facebook had in the American election.
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因此,我不知道,
10:57
There are a lot of questions
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我不知道我在說什麼,
10:59
about the ways that these algorithms are controlling our lives.
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我也沒有一個很清楚的結尾。
11:04
And so, I don't know,
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但是我想要鼓勵你們
11:06
I don't know what I'm saying
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大膽一點地去跟這些演算法互動。
11:08
and I don't have, like, a very clear conclusion.
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11:13
But I would just encourage you to try to be experimental
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因為如果你只做同樣的事情,
11:17
when it comes to interacting with these algorithms.
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跟著你的喜好,
或是只會跟風,
11:21
Because if you just do the defaults,
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就真的很容易被限制 在你可以被控制的地方。
11:25
follow your preference,
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11:27
go in the direction that everything else is going,
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那就這樣吧。
謝謝
(掌聲)
11:32
it's really easy to get caught in a place where you can be controlled.
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11:36
And I think that's it.
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11:38
Thank you.
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11:40
(Applause)
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