Art in the age of machine intelligence | Refik Anadol

629,823 views ・ 2020-08-19

TED


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譯者: Lilian Chiu 審譯者: SF Huang
00:12
Hi, I'm Refik. I'm a media artist.
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嗨,我是雷菲克,我是媒體藝術家。
00:15
I use data as a pigment
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我用資料當顏料,
00:17
and paint with a thinking brush
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用人工智慧輔助的
00:19
that is assisted by artificial intelligence.
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智能筆刷來作畫,
00:23
Using architectural spaces as canvases,
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我用建築空間當作畫布,
00:25
I collaborate with machines
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和機器合作,
00:27
to make buildings dream and hallucinate.
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讓建築物也能作夢、幻想。
00:30
You may be wondering, what does all this mean?
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你可能在納悶,這些是什麼意思?
00:33
So let me please take you into my work and my world.
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請容我帶你來看看 我的工作和我的世界。
00:37
I witnessed the power of imagination when I was eight years old,
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在伊斯坦堡長大的我,
八歲時,目擊了想像力的力量。
00:41
as a child growing up in Istanbul.
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00:43
One day, my mom brought home a videocassette
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有一天,我媽媽帶了一支錄影帶回家,
00:47
of the science-fiction movie "Blade Runner."
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是部科幻電影《銀翼殺手》。
00:50
I clearly remember being mesmerized
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我清楚記得我對未來洛杉磯的
00:53
by the stunning architectural vision of the future of Los Angeles,
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驚人建築想像深深著迷,
00:58
a place that I had never seen before.
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那是我從來沒有見過的地方。
01:00
That vision became a kind of a staple of my daydreams.
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那幅影像便成了我作白日夢的主題。
01:06
When I arrived in LA in 2012
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2012 年我到洛杉磯
01:08
for a graduate program in Design Media Arts,
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就讀設計媒體藝術研究所,
01:11
I rented a car and drove downtown
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我租了一輛車開到市區,
01:13
to see that wonderful world of the near future.
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去看那個在不遠未來的美妙世界。
01:17
I remember a specific line
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我記得在我腦中有一句話
01:19
that kept playing over and over in my head:
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不斷重覆播放:
01:22
the scene when the android Rachael
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在這一幕中,機器人瑞秋
01:24
realizes that her memories are actually not hers,
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發現她的記憶其實不是她的,
01:28
and when Deckard tells her they are someone else's memories.
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戴克告訴她那些是別人的記憶。
01:32
Since that moment,
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從那一刻起,這個問題 就一直是我的靈感之一。
01:34
one of my inspirations has been this question.
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01:37
What can a machine do with someone else's memories?
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機器如何使用他人的記憶?
01:41
Or, to say that in another way,
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或者,換個說法,
01:44
what does it mean to be an AI in the 21st century?
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身為二十一世紀中的 人工智慧,有什麼意涵?
01:49
Any android or AI machine
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任何機器人或人工智慧機器
01:51
is only intelligent as long as we collaborate with it.
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都只有在我們和它 連結合作時,它才具有智慧。
01:55
It can construct things
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它能夠建造出
01:56
that human intelligence intends to produce
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人類智慧想要製作
卻沒有能力做出來的東西。
02:00
but does not have the capacity to do so.
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02:03
Think about your activities and social networks, for example.
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比如,想想你在社交網路上的活動。
02:07
They get smarter the more you interact with them.
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你越和它們互動,它們就變得越聰明。
02:10
If machines can learn or process memories,
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如果機器能學習或處理記憶,
02:15
can they also dream?
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它們是否也能作夢?
02:17
Hallucinate?
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幻想?
02:18
Involuntarily remember,
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非自願性地回想
02:21
or make connections between multiple people's dreams?
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或在多人的夢境中建立連結?
02:25
Does being an AI in the 21st century simply mean not forgetting anything?
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身為二十一世紀的人工智慧
就僅表示什麼都不會忘記嗎?
02:32
And, if so,
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若是如此,
02:33
isn't it the most revolutionary thing that we have experienced
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我們花數世紀的努力 在各媒體中捕捉歷史,
02:37
in our centuries-long effort to capture history across media?
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這不就是我們所能體驗到 最革命性的經歷了嗎?
02:43
In other words,
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換言之,
02:44
how far have we come since Ridley Scott's "Blade Runner"?
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從雷利史考特的《銀翼殺手》之後, 我們又走了多遠?
02:48
So I established my studio in 2014
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於是,我在 2014 年 成立了我的工作室,
02:52
and invited architects,
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並邀請建築師、
02:54
computer and data scientists, neuroscientists,
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電腦及資料科學家、神經科學家、
02:56
musicians and even storytellers
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音樂家,甚至說故事的人
02:59
to join me in realizing my dreams.
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一同加入來實現我的夢想。
03:03
Can data become a pigment?
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資料能變成顏料嗎?
03:05
This was the very first question we asked
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當我們開始這段旅程時, 這就是我們問的第一個問題,
03:08
when starting our journey to embed media arts into architecture,
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我們的目標是將媒體藝術 置入到建築當中,
03:13
to collide virtual and physical worlds.
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讓虛擬和實體世界碰撞。
03:16
So we began to imagine what I would call the poetics of data.
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我們開始想像我所謂的資料詩學。
03:22
One of our first projects, "Virtual Depictions,"
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我們最初的計畫之一是《虛擬描繪》,
03:24
was a public data sculpture piece
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它是一件公共資料雕塑作品,
03:26
commissioned by the city of San Francisco.
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由舊金山市委任我們製作。
03:29
The work invites the audience
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這件作品邀請觀眾
03:31
to be part of a spectacular aesthetic experience
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在一個活生生的都市空間中
參與壯觀的美學體驗,
03:35
in a living urban space
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03:36
by depicting a fluid network of connections of the city itself.
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這件作品描繪出 城市本身的連結網路。
03:42
It also stands as a reminder
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它也是在提醒我們,
03:45
of how invisible data from our everyday lives,
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我們日常生活中看不見的資料,
03:48
like the Twitter feeds that are represented here,
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如這裡所呈現的推特推文,
03:51
can be made visible
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也能變成可見的,
03:53
and transformed into sensory knowledge that can be experienced collectively.
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並轉變為可全體一同體驗的
感官知識。
04:00
In fact, data can only become knowledge when it's experienced,
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事實上,資料一定要被體驗, 之後才能夠變成知識,
04:05
and what is knowledge and experience can take many forms.
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而知識和體驗都可以 有許多不同的形式。
04:09
When exploring such connections
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在透過機器智慧的強大潛能
04:11
through the vast potential of machine intelligence,
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探索這類連結時,
04:15
we also pondered the connection between human senses
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我們也會思索人類感官與機器
04:21
and the machines' capacity for simulating nature.
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模擬大自然的能力有什麼關聯。
04:24
These inquiries began while working on wind-data paintings.
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這些疑問出現在用風的資料作畫時。
04:29
They took the shape of visualized poems
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它們呈現出來的形式,是視覺化的詩,
04:32
based on hidden data sets that we collected from wind sensors.
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其基礎是我們從風感測器 收集來的隱藏資料集,
04:37
We then used generative algorithms
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接著,我們使用生成演算法
04:40
to transform wind speed, gust and direction
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將風速、陣風以及風向
04:44
into an ethereal data pigment.
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轉變成為以太資料顏料。
04:48
The result was a meditative yet speculative experience.
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產生的結果是種帶著沉思 又有推測性的體驗。
04:53
This kinetic data sculpture, titled "Bosphorus,"
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這件名為《博斯普魯斯海峽》的 動態資料雕塑作品,
04:56
was a similar attempt to question our capacity to reimagine
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則是質疑我們重新想像
自然現象的類似嘗試。
05:00
natural occurrences.
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05:03
Using high-frequency radar collections of the Marmara Sea,
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我們用馬摩拉海的高頻率雷達
05:07
we collected sea-surface data
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收集海面的資料,
05:10
and projected its dynamic movement with machine intelligence.
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並用機器智慧將其動態做投射。
05:13
We create a sense of immersion
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我們在一種平靜卻又經常 改變的合成海景中,
05:15
in a calm yet constantly changing synthetic sea view.
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創造出了一種沉浸感。
05:21
Seeing with the brain is often called imagination,
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用大腦來看,通常就稱作想像,
05:25
and, for me, imagining architecture
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對我來說,對建築的想像
05:27
goes beyond just glass, metal or concrete,
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超越了單純的玻璃、金屬或混凝土,
05:31
instead experimenting with the furthermost possibilities of immersion
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而是去實驗沉浸的最大可能性,
05:36
and ways of augmenting our perception in built environments.
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以及在既有環境中 擴增我們感知的方法。
05:40
Research in artificial intelligence is growing every day,
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人工智慧的研究每天都有進展,
05:44
leaving us with the feeling of being plugged into a system
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讓我們覺得被連接到一個比我們自己
05:48
that is bigger and more knowledgeable
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更大、更有知識的系統上。
05:50
than ourselves.
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05:51
In 2017, we discovered an open-source library
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2017 年,我們發現了 一個開放原始碼的圖書館,
05:55
of cultural documents in Istanbul
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裡面有伊斯坦堡文化的文件,
05:58
and began working on "Archive Dreaming,"
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因此我們便開始投入《檔案夢》,
06:01
one of the first AI-driven public installations in the world,
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它是世界上最早的 人工智慧導向公共裝置之一,
06:06
an AI exploring approximately 1.7 million documents that span 270 years.
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這個人工智慧所探究的 近 170 萬份文件
橫跨了 270 年。
06:13
One of our inspirations during this process
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在這個過程中,我們的靈感之一
06:16
was a short story called "The Library of Babel"
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是一個短篇故事, 叫做《巴別塔圖書館》,
06:20
by the Argentine writer Jorge Luis Borges.
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作者是阿根廷作家 豪爾赫.路易斯.波赫士。
06:23
In the story, the author conceives a universe in the form of a vast library
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在這個故事中, 作者構想出的宇宙形式
是個巨大的圖書館,
06:29
containing all possible 410-page books of a certain format and character set.
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盡可能收藏所有 410 頁的書籍,
都有一個特定的格式和字元集。
06:35
Through this inspiring image,
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透過這個啟發性的影像,
06:36
we imagine a way to physically explore the vast archives of knowledge
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我們想像出了一種方式, 可以在機器智慧的時代,
實體去探索浩瀚的知識檔案。
06:41
in the age of machine intelligence.
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06:43
The resulting work, as you can see,
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因此做出的成品,各位可以看到,
06:45
was a user-driven immersive space.
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是一個使用者導向的沉浸式空間。
06:48
"Archive Dreaming" profoundly transformed the experience of a library
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《檔案夢》深刻地轉變了
機器智慧時代的圖書館體驗。
06:53
in the age of machine intelligence.
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06:56
"Machine Hallucination" is an exploration of time and space
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《機器幻想》是在探索 透過紐約市公共照片檔案
07:00
experienced through New York City's public photographic archives.
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所體驗到的時間和空間。
07:04
For this one-of-a-kind immersive project,
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為了這個獨一無二的沉浸式計畫,
07:07
we deployed machine-learning algorithms
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我們採用了機器學習演算法
07:10
to find and process over 100 million photographs of the city.
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來找出並處理該城市的一億張照片。
07:15
We designed an innovative narrative system
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我們設計了一個創新的敘事系統,
07:18
to use artificial intelligence to predict or to hallucinate new images,
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用人工智慧來預測
或幻想出新的影像,
07:24
allowing the viewer to step into a dreamlike fusion
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讓觀者能夠步入
紐約的過去和未來 融合成的如夢境之地。
07:28
of past and future New York.
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07:31
As our projects delve deeper
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隨著我們的計畫更深入到
07:33
into remembering and transmitting knowledge,
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記住和傳送知識,
07:37
we thought more about how memories were not static recollections
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我們想了更多關於 記憶為什麼不是靜態的回憶
07:42
but ever-changing interpretations of past events.
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而是對過去的事件 做出千變萬化的詮釋。
07:46
We pondered how machines
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我們思索了機器如何
07:48
could simulate unconscious and subconscious events,
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模擬無意識和潛意識的事件,
07:52
such as dreaming, remembering and hallucinating.
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比如作夢、回想和幻想。
07:57
Thus, we created "Melting Memories"
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因此,我們創作出了《熔化的記憶》,
08:00
to visualize the moment of remembering.
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將回想的時刻視覺化。
08:03
The inspiration came from a tragic event,
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這個靈感來自一個悲劇事件,
08:06
when I found out that my uncle was diagnosed with Alzheimer's.
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我得知我叔叔被診斷出阿茲海默症。
08:11
At that time, all I could think about
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那時,我唯一能想的就是要找方法
08:14
was to find a way to celebrate how and what we remember
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來讚頌我們回想的方式、回想的內容,
08:19
when we are still able to do so.
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且要在我們還能做的時候就去做。
08:21
I began to think of memories not as disappearing
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我開始認為,記憶並不是消失,
08:25
but as melting or changing shape.
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而是熔化了或改變了形態。
08:28
With the help of machine intelligence,
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在機器智慧的協助下,
08:30
we worked with the scientists at the Neuroscape Laboratory
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我們和加州大學 Neuroscape 實驗室的
08:33
at the University of California,
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科學家合作,
08:35
who showed us how to understand brain signals as memories are made.
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他們告訴我們如何了解 在記憶形成時的大腦訊號。
08:41
Although my own uncle was losing the ability to process memories,
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雖然我自己的叔叔失去了 處理記憶的能力,
08:46
the artwork generated by EEG data
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腦電圖資料所產生的藝術作品
08:49
explored the materiality of remembering
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探索了回想的具體性,
08:53
and stood as a tribute to what my uncle had lost.
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並向我叔叔所失去的致上敬意。
09:00
Almost nothing about contemporary LA
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現代洛杉磯幾乎完全不符合
09:03
matched my childhood expectation of the city,
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我童年時對該城市的期望,
09:07
with the exception of one amazing building:
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不過有一棟很不凡的建築物例外:
09:10
the Walt Disney Concert Hall, designed by Frank Gehry,
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華特迪士尼音樂廳, 由法蘭克.蓋瑞設計,
09:13
one of my all-time heroes.
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他一直是我心目中的英雄。
09:16
In 2018, I had a call from the LA Philharmonic
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2018 年,我接到 洛杉磯愛樂樂團的電話,
09:19
who was looking for an installation
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他們想找一個裝置,
09:21
to help mark the celebrated symphony's hundred-year anniversary.
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作為這個知名交響樂團的百年紀念。
09:25
For this, we decided to ask the question,
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為此,我們決定要問這個問題:
09:29
"Can a building learn? Can it dream?"
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「建築物能學習嗎?它會作夢嗎?」
09:32
To answer this question,
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為了回答這個問題,
09:33
we decided to collect everything recorded in the archives of the LA Phil and WDCH.
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我們決定要收集洛杉磯愛樂樂團
和華特迪士尼音樂廳的檔案中 所記載的一切資訊。
09:39
To be precise, 77 terabytes of digitally archived memories.
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精確來說,是轉成 77 TB 的 數位檔案的記憶。
09:44
By using machine intelligence,
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使用機器智慧,
09:46
the entire archive, going back 100 years,
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我們讓所有這一百年來的檔案
09:50
became projections on the building's skin,
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變成了建築物外牆上的投影,
09:53
42 projectors to achieve this futuristic public experience
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用四十二台投影機, 在洛杉磯的心臟地帶,
實現了這種未來感的公眾體驗,
09:57
in the heart of Los Angeles,
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09:59
getting one step closer to the LA of "Blade Runner."
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朝《銀翼殺手》中的 洛杉磯又邁進了一步。
10:04
If ever a building could dream,
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如果真有建築物能夠作夢,
10:06
it was in this moment.
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那肯定就是這一刻。
10:11
Now, I am inviting you to one last journey into the mind of a machine.
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現在,我邀請各位 再跟我去最後一個地方:
機器的腦中。
10:17
Right now, we are fully immersed in the data universe
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現在,我們完全沉浸在過去三十年
10:21
of every single curated TED Talk from the past 30 years.
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所有舉辦過的 TED 演講 所構成的資料宇宙中。
10:25
That means this data set includes 7,705 talks from the TED stage.
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也就是說,
這個資料集包含了
TED 舞台上的 7705 場演講。
10:33
Those talks have been translated into 7.4 million seconds,
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那些演講被轉變成 740 萬秒,
10:37
and each second is represented here in this data universe.
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每一秒都在這個資料宇宙中呈現出來。
10:41
Every image that you are seeing in here
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各位在這裡看到的每一個影像
10:43
represents unique moments from those talks.
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都代表那些演講中某個獨特的時刻。
10:46
By using machine intelligence,
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我們使用機器智慧
10:48
we processed a total of 487,000 sentences
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處理了總共 487,000 個句子,
10:53
into 330 unique clusters of topics like nature, global emissions,
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分成 330 個不重覆的 主題叢集,比如:大自然、
全球排放、絕種、種族議題、計算、
10:57
extinction, race issues, computation,
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11:00
trust, emotions, water and refugees.
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信任、情緒、水和難民。
11:04
These clusters are then connected to each other
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接著,再用一個演算法 將這些叢集連結起來,
11:07
by an algorithm,
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11:08
[that] generated 113 million line segments,
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這個演算法產生出 一億一千三百萬條線段,
11:12
which reveal new conceptual relationships.
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這些線段揭示出新的概念關係。
11:15
Wouldn't it be amazing to be able to remember
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如果能記得在演講台上 曾經被問過的所有問題,
11:18
all the questions that have ever been asked on the stage?
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不是很不可思議嗎?
11:23
Here I am,
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我進來了,
11:24
inside the mind of countless great thinkers,
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身在無數偉大思想家的腦中,
11:27
as well as a machine, interacting with various feelings
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同時也是機器的腦中, 和各種感覺互動,
11:31
attributed to learning,
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這些感覺源自於學習、
11:33
remembering, questioning
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回想、質疑,
11:36
and imagining all at the same time,
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以及想像,全都同時發生,
11:39
expanding the power of the mind.
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將大腦的力量擴張出去。
11:43
For me, being right here
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對我來說,在這裡
11:45
is indeed what it means to be an AI in the 21st century.
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的確就是身為二十一世紀 人工智慧的意涵。
11:50
It is in our hands, humans,
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我們人類有責任
11:52
to train this mind to learn and remember
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要訓練這個大腦去學習和記憶
11:56
what we can only dream of.
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我們所能想像的夢想。
11:59
Thank you.
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謝謝。
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