How AI Art Could Enhance Humanity’s Collective Memory | Refik Anadol | TED

81,950 views ・ 2023-08-25

TED


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翻译人员: Yip Yan Yeung 校对人员: Sue Lu
00:04
Let me begin by saying
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that what you are looking at is not real.
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00:09
These are artificial corals created by a generative AI algorithm,
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首先,我想说的是,
00:13
trained with more than 100 million coral images.
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你眼前的并不是真的,
00:17
Across the globe,
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00:18
sea water is becoming less habitable due to the climate change
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而是由人工智能算法创作的人工珊瑚,
00:22
and the coral reefs are dying rapidly.
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算法由超过一亿张珊瑚图片训练而成。
00:25
One day we might be only left with the simulations of corals
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纵观全球,
由于气候变化海水变得不宜居住,
00:29
in a virtual world.
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珊瑚礁正在快速消亡。
00:31
With this project, “Coral Dreams,”
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00:33
our aim is to use AI
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有朝一日会只剩下虚拟世界的仿真珊瑚。
00:37
and try to create artificial realities while preserving disappearing nature.
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这个项目“珊瑚梦”,
我们的目标是利用人工智能
00:44
I'm a media artist and director.
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00:46
My team and I have been using generative AI as a collaborator
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打造人工现实且保护逐渐消亡的大自然。
00:49
for seven years,
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00:50
although it feels like 70.
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00:53
We train machine-learning algorithms by harnessing large,
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我是一名媒体艺术家和导演。
我和我的团队已经和人工智能
00:57
focused and publicly available data sets
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合作了七年,
虽然感觉像是 70 年了。
01:00
and visualizing what I call humanity's collective memories,
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我们训练了机器学习算法,基于大型、
01:04
such as nature, urban and culture.
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专业、公开的数据集,
01:09
Since [the] pandemic,
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将我称之为“人类共同记忆”的东西
01:11
my focus has been to compile the largest data sets
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形象化,如大自然、城市和文化。
01:14
and artificially preserve nature.
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01:17
I am optimistic about generative AI
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自新冠疫情以来,
01:19
because of its potential for enhancing our memories.
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我着重在整合最大的数据集,
01:23
We as artists can utilize this potential not only to represent nature,
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人为地保护大自然。
我对人工智能持乐观态度,
因为它有巩固我们记忆的潜力。
01:29
but also to remember how it feels to be immersed in it in a digital age.
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艺术家不仅可利用该潜力展现大自然,
01:34
Generative AI creates possibilities to train algorithms with any image, sound,
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还可记录在数字时代沉浸自然中的感觉。
01:40
text and even scent data.
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01:43
For example, this is “Floral Dreams,”
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人工智能创造了利用任意图像、声音、
01:45
an algorithm trained with more than 75 million floral images
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文本甚至气味数据来训练算法的可能。
01:49
of 16,000 species.
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01:51
By using more than half a million scent molecules,
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比如,这是“花梦”,
由超过 7500 万张 包括 16000 个品种的花卉图片
01:55
we were able to create the scent of these dreams.
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训练而成的算法。
01:59
Now let's please imagine a living archive
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我们使用超过 50 万个气味分子
02:03
that we can walk into.
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做出了这些梦的气味。
02:05
A universe that is constantly reimagined, [reconstructing] its forms, patterns,
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现在让我们想象一间活的档案室,
02:10
colors and scents.
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存档的这个宇宙不断变幻,重构形态、
02:14
Our life is becoming increasingly rooted in digital worlds,
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02:18
and the boundaries between physical and virtual,
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颜色和气味。
02:21
technology and nature, are blurring.
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我们的生活越来越扎根于数字世界,
02:24
Generative AI helps us to create new realities
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真实和虚拟世界的边界、
02:28
and also project onto reality through possibility space.
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科技和自然的边界越来越模糊。
人工智能帮助我们打造了新的现实,
02:34
Can we go to that space?
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02:35
Can we fill it with our feelings, our senses?
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也将可能性空间投射进了我们的现实。
02:40
Large language models are just the beginning
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我们可以走进这个空间吗?
02:43
of a long journey of innovations [which] will bring more possibilities.
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并注入我们的感受和感官?
02:47
Soon, I believe we will be exploring hyper models,
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大型语言模型只是带来更多可能性的
创新长路的开端。
02:52
text to image, to sound,
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02:54
to scent, to life.
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相信不久我们就能探索超级模型,
02:58
And a big challenge using generative AI in art
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文本转图片,转声音,
03:03
is how to provide models with original data.
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转气味,转生命。
在艺术上使用人工智能的一大挑战
03:08
For this project, “Glacier Dreams,”
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03:09
we decided not to use existing models.
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03:12
Instead, we decided to collect our own image,
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是如何给模型提供原始数据。
03:15
sound, scent and climate data.
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在“冰川梦”这个项目中,
我们决定不使用现有模型,
03:19
By traveling to our first destination, Iceland,
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而是自己收集照片、
03:22
we were able to capture the beginning of our own narratives of glaciers.
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声音、气味和气候数据。
我们前往了第一个目的地冰岛,
03:29
I also believe that AI's capacity can be mapped
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捕捉了我们自己的冰川故事的开头。
03:32
onto the complex history of human wisdom and consciousness in nature.
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03:37
Could we use AI to preserve and learn about ancient knowledge in nature?
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我也相信人工智能的能力可以映射到
人类智慧和意识在自然界的复杂历史中。
03:44
This was one of the first questions in my mind
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可以用人工智能保护、 学习自然界的古老知识吗?
03:47
when I met with the wonderful leaders
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03:49
of Yawanawa tribe in Brazil, Acre, Amazonia, in the rainforest.
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我和巴西阿克里州亚马逊雨林的 亚瓦纳瓦部落的优秀领导人见面时,
03:55
My mentors and heroes, Chief Nixiwaka and his creative force Putanny,
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马上就想到了这个问题。
04:00
who oversee their cultural preservation and ecological sanctuary.
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我的导师和英雄, 尼西瓦卡(Nixiwaka)酋长
04:04
I became deeply inspired by their ways of learning
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和他的创作伙伴普塔妮(Putanny)
04:08
and remembering already existing knowledge in nature.
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一起监督着他们的 文化保护和生态保护区。
04:13
Together we started a new project,
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我因他们学习、铭记大自然中 现有知识的方式深受启发。
04:16
a respectful co-creation and open-source AI rainforest model.
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我们一起做了一个新项目,
04:22
With this model,
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04:24
generative AI can even reconstruct extinct flora and fauna
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一个相互尊重的 合作开源人工智能雨林模型。
04:29
based on the tribe's deep and collective knowledge.
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有了这个模型,
人工智能甚至可重现已灭绝动植物,
04:33
This project will help us, hopefully,
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04:35
to bring ancient wisdom to our society respectfully.
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基于部落渊博的集体知识。
04:41
My hope is that one day
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希望这个项目
04:44
AI becomes a mirror that can reflect collective memories of all humanity.
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可以将古老的智慧带进我们的社会。
我希望有朝一日人工智能
04:51
And I do believe that we can use it to bring people of any age and culture,
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会成为一面反映人类共同记忆的镜子。
04:57
inspiration, joy and hope.
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我相信我们能借此为任何年龄和文化的人
05:01
Thank you.
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05:02
(Applause)
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带来启发、快乐和希望。
谢谢。
(掌声)
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