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stop to consider In
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a world increasingly reliant on data,
0:36
we rarely stop to consider
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It all that information actually
0:40
resides. centers, It turns out
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But what if there was a more
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sustainable way, if a greener way, to store
1:01
our data a also reconnected us to
1:03
the natural world? reconnected us to the
1:05
natural is This is Ted a
1:07
podcast from from the Collective.
1:10
I'm your host, Cheryl Dorsey.
1:13
Today, we we have two
1:15
extraordinary individuals who are proposing
1:17
a radical solution to
1:19
the data storage crisis. storage crisis.
1:22
genome scientists Kayolu Fox
1:24
and Cliff Cliff Copano, a professional
1:26
surfer and scientist, are are
1:28
merging cutting -edge technology with
1:30
indigenous knowledge to create
1:32
an alternative route. route. They
1:34
envision a future where data
1:36
centers are no longer
1:38
a burden on our planet,
1:40
but a part of
1:42
the the ecosystem. But before
1:44
we dive in, a quick break
1:46
to hear from our sponsors. a quick break
1:49
to hear from
1:52
our sponsors. And
2:00
now, Kayolu Fox and Cliff Capano
2:02
take the TED stage. So people
2:05
are pretty surprised, and I tell
2:07
them I know the world's first
2:09
native Hawaiian genome scientists, not because
2:12
of all the text he sends
2:14
me about genome editing and DNA
2:16
research, but mostly because they're dominated
2:19
by cat memes. Oh, brother, you
2:21
know there's plenty of surfing in
2:24
there, too. That's true. Those take
2:26
of their own folder. There's
2:29
something you should know about Cliff and
2:32
I. We've known each other forever, and
2:34
we spend way too much time staring
2:36
at our phones, looking at surf videos.
2:38
He's one of those screen-time people, you
2:41
know, face-time only, won't answer the phone
2:43
unless he's giving us face-to-face. And if
2:45
he is texting me, he's asking me
2:47
to send him updates on what the
2:50
waves look like or how the waves
2:52
were. That's true. I love face-time, but
2:54
that's because Cliff here is unique. as
2:58
the only professional surfer to have
3:00
a PhD in analytical chemistry, no
3:02
less, he gets to spend his
3:04
time exploring and surfing some of
3:06
the most incredible waves on the
3:08
planet. And now that we have
3:11
the capacity to share that information
3:13
from anywhere in the world, why
3:15
wouldn't we? Probably because it's using
3:17
up all my monthly data sending
3:19
him images of what the waves
3:21
look like whenever I'm on a
3:24
surf trip. That brings up a
3:26
good point. We do share and
3:28
interact with terabytes of data almost
3:30
every day, some more than others.
3:32
Through text, emails, and now this
3:34
thing, I don't know if you
3:37
guys heard about AI, we're entering
3:39
a new phase of data production,
3:41
consumption, and probably one of the
3:43
most challenging issues of our generation,
3:45
data storage. But we think we
3:47
have a solution, and the answer
3:50
is an indigenous one. We believe
3:52
we can package text, images, and
3:54
even surf videos in the genomes
3:56
of living organisms and access them
3:58
at a later time. Because as
4:00
Kilda likes to remind me, what's
4:03
a genome if not a giant
4:05
hard drive? Our difference is we...
4:07
want to put this information into
4:09
local plants, sequestering atmospheric CO2 and
4:11
also reducing the energy required in
4:13
a rapidly changing climate. You see,
4:16
the climate crisis has a new
4:18
problem. Data centers are rapidly contributing
4:20
to this climate crisis. And data
4:22
forecasters estimate that by next year
4:24
there will be over 50 billion
4:26
IOT devices connected to one other,
4:29
generating over 80. billion terabytes of
4:31
information. And to put things into
4:33
context, that new iPhone in your
4:35
pocket, that can hold a total
4:37
of around one terabyte of information.
4:39
But we're not just storing information
4:42
on our phones anymore. We're uploading
4:44
them onto that cloud wherever it
4:46
is. And heat is a byproduct
4:48
of cloud storage. It's estimated between
4:50
three to seven kilowatt hours of
4:52
energy are needed for every gigabyte
4:55
of information transferred and stored. To
4:57
put that into context, watching about
4:59
two minutes of 4K video is
5:01
the same amount of energy that's
5:03
required to power your phone for
5:05
one year. And if
5:08
we are continually to ask
5:10
to back up this information,
5:12
as we are encouraged to
5:14
do, the heat expenditure could
5:17
increase exponentially moving into the
5:19
future. Now, data centers combat
5:21
these thermodynamic challenges by relying
5:23
on cooling mechanisms, kind of
5:26
like air conditioners. But they
5:28
take up around 40 percent
5:30
of their energy demands. And
5:32
because of this, their energy
5:35
footprint, is greater than the
5:37
airline industries as a whole.
5:39
Imagine how much energy was
5:41
required by the entire US
5:44
alone. Funny you should ask,
5:46
Clifford. The data industry requires
5:48
approximately 200 terawatt hours annually,
5:50
and with the combination of
5:52
smart devices like phones, watches,
5:55
and personal computers, it accounts
5:57
for 2 percent of global
5:59
energy. CO2 emissions. But
6:02
here's the kicker. With the
6:04
introduction of GPUs and large
6:07
language models and deep learning,
6:09
keyed emissions from data centers
6:12
are poised to surpass the
6:14
fossil fuel industry as the
6:17
number one contributor to the
6:19
climate crisis in our lifetimes.
6:22
but there's a better way.
6:25
DNA. After all, life has
6:27
been storing information in the
6:29
organisms, genomes, for billions of
6:31
years. And storing text, images
6:33
and videos is nothing new.
6:35
Working off the research by
6:37
Daniel Gibson, a monumental study
6:39
in 2017 led by Seth
6:41
Shipman and Joe Davis, showed
6:43
the world that we can
6:45
put a video into the
6:47
genome of a bacteria. They
6:49
showed us that every image
6:51
pixel can be represented by
6:53
a unique RGB color code.
6:55
And that color code can
6:57
be ciphered into the genetic
6:59
code, and those sequences can
7:01
be inserted into the noncoding
7:04
portion of an organism's genome
7:06
using genome editing techniques that
7:08
many of you are familiar
7:10
with. And all
7:12
we need to do to
7:14
access this information at a
7:16
later time is to sequence
7:18
the genes that hold that
7:20
information and cipher it back
7:22
into the pixel image. And
7:24
we see the potential of
7:26
this research, and we want
7:28
to expand beyond just single
7:30
cellular organisms like bacteria and
7:32
move into multicellular organisms like
7:34
sugar cane. What once was
7:36
a symbol of colonialism across
7:38
our islands can now be
7:40
viewed as a symbol for
7:42
a more sustainable future. If
7:44
you're not catching the colonial
7:46
reference there, let us remind
7:48
you of some of the
7:50
history. In 1893, a group
7:52
of American sugarcane plantation owners
7:54
illegally overthrew the Hawaiian kingdom
7:56
in part to avoid tax
7:58
import on sugar production, leaving
8:00
behind 113. years of illegal
8:02
occupation and systemic oppression across
8:04
our islands. And for many
8:06
of us, science, sugar has
8:08
left a bitter taste in
8:10
our mouths. But we want
8:12
to reshape this narrative and
8:14
take back agency by putting
8:16
data into the very thing
8:18
that nearly wiped out our
8:20
people. Additionally, we see sugar
8:22
as something that is beyond
8:24
just a way to decolonize
8:26
the data industry, but also
8:28
a way to show something
8:31
practical. Its genome is enormous
8:33
and has multiple genes within
8:35
it. Which theoretically is great
8:37
for data storage, duplication and
8:39
integrity. Imagine storing over 200,000
8:41
terabytes of information in a
8:43
single gram of DNA. And
8:45
you would think with this
8:47
sort of technology, we'd be
8:49
out there planting acres and
8:51
acres of these sugar drives
8:53
like those greedy fuckers of
8:55
the past. But
8:58
we think we have something
9:00
different. We want to do
9:02
it differently. We believe that
9:05
sugar drives are just a
9:07
small part of the solution.
9:10
We're also exploring other indigenous
9:12
varieties of breadfruit, coconut and
9:15
other microbiota. We have an
9:17
ambitious dream of revitalizing indigenous
9:19
land systems that double as
9:22
biological data centers. And
9:24
we hope everyone remembers that indigenate
9:27
is just not about being native
9:29
peoples. It's about understanding the unique
9:31
roles that multiple species have within
9:33
our ecosystem. All of us come
9:35
from unique places with a tremendous
9:37
amount of native species. Collectively, all
9:39
of those species help those systems
9:41
to function better. All of us
9:43
indigenous beings have to reckon with
9:45
the fact that we all must
9:47
return to the earth, and the
9:49
mega land is a place where
9:51
we hope our data can go.
9:54
resting on the banks of our town's largest living
9:57
estuary. This two-acre of land a
9:59
beacon of hope for for
10:01
people around the world. around the
10:03
world. What was destined to
10:05
be another hotel, another or marina
10:08
is now becoming a thriving
10:10
a thriving indigenous land use center. Here
10:12
there exists a tremendous amount
10:14
of information that can be
10:16
digitized and stored locally, just
10:18
like our communities, oral histories,
10:20
hula, and and chants. Biodiversity
10:22
metrics can be taken alongside
10:24
environmental observations by the people
10:27
who depend on this area on
10:29
this put into organisms that
10:31
potentially hold the key to
10:33
environmental resilience. Data
10:35
no longer need taken away from
10:37
these places and stored in
10:39
hot, dark, noisy rooms miles away.
10:42
can it can remain connected to the land.
10:44
the like the stories of the the
10:46
indigenous peoples of today. today. We're
10:50
talking about doing something new
10:52
that we know to be
10:54
very, very old. old. And
10:56
this might This might not
10:58
solve the global data storage
11:00
crisis. but as But as
11:03
we move into a future
11:05
where there's digital species and
11:07
AI AI influencers. that We hope
11:09
that some of the solutions that
11:11
we so desperately seek aren't
11:13
only found in a deep algorithm
11:16
in some supercomputer, but
11:18
they might be in a community that's
11:20
standing in front of you today. in a Thank
11:23
you. front
11:25
of you today.
11:27
But probably the
11:30
biggest you guys
11:32
are for me at least,
11:34
of this whole experiment. Is the
11:36
one biggest hope,
11:38
for me at
11:40
least, of this
11:42
whole experiment. Ha Is
11:44
the one day be able to
11:46
It's to one day
11:49
be able to respond to
11:51
Kielu's annoying text? How are
11:53
the are the waves? We'll
11:55
take a hike at the Megaland, sequence some
11:57
some DNA, see it and see it
12:00
for you. Thank you. That
12:02
was Kayolu Fox
12:04
and Cliff Copano
12:06
at TED 2024.
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14:44
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14:46
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14:48
as far fetched as it
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might seem. In fact, there
14:52
are already initiatives underway exploring
14:54
the potential of sustainable data
14:56
centers. Even though companies like
14:58
Google and Metas investments in
15:00
renewable energy and innovative cooling
15:02
tech look a lot different
15:04
than Kaolu and Cliff's suggestions.
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There's a growing movement towards
15:08
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15:11
This involves distributing data storage
15:13
and processing closer to the
15:15
users, reducing the need for
15:17
large centralized data centers. This
15:19
approach not only reduces energy
15:21
consumption, but also improves data
15:23
security and privacy. A
15:26
silver lining to consider too
15:28
is that pivoting to a more
15:30
environmentally conscious approach also has
15:32
the potential to create jobs and
15:34
lead us into a highly
15:36
computational future. This is
15:38
a paradigm shift that can help
15:40
us consider our future and our planet's
15:42
future as one. And that is
15:44
an invaluable kind of idea. And
15:50
that's it for today. TED
15:52
Tech is part of the TED
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Audio Collective. This episode was
15:57
produced by Nina Bird Lawrence, edited
15:59
by Alejandra Salazar. In fact,
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Check by Julia Dickerson. Special thanks
16:03
to Maria Latias, Ferde Grange,
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Daniela Belarazzo, and Roxanne Highlash. I'm
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Cheryl Dorsey, thanks for listening.
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