B2 Upper Intermediate English 9:18 1,537 لغت Science & Tech

Can clean energy handle the AI boom?

Vox · 315,751 بازدید · Added 1 ساعت پیش

Learning Stats

B2

سطح CEFR

1,537

Total Words

584

Unique Words

6/10

Difficulty

Vocabulary Diversity 38%

زیرنویس‌ها (200 segments)

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00:00

I spent some time recently reading

00:01

through a big spreadsheet of questions

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submitted by vox's audience members and

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one of them caught my eye it was from

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Cathy a retired school teacher in New

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York City what is the question that you

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wanted us to answer so the question is

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can green energy even begin to handle

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the increased demands that Ai and crypto

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and cloud storage are going to put on

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our Energy System it's a good question

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I've done some reporting on AI but I've

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never thought much of the climate impact

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of all the AI products we're

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increasingly using and all of our

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digital belongings like photos and

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documents and emails getting stockpiled

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in servers around the world they need a

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lot of electricity and the electricity

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has to come from somewhere this is all

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happening while the climate crisis

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demands we use less energy not invent

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new ways to use more of it I think our

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climate goals already feel pretty

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impossible to me but now it's almost

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like we haven't changed the goal poost

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we've changed the entire game so let's

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get to the bottom of

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[Music]

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this within Cathy's big question is a

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more basic one about how much

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electricity our digital lives require at

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first I was thrown off that Kathy

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mentioned things like cloud storage and

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Ai and cryptocurrency in one category

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but then I realized that their

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electricity demands happen at the same

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place data centers ultimately you're

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talking about machines loaded up in

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large facilities who generate

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computations and they need power a lot

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of it they need water uh they need space

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I spoke to Alex D he runs a research

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site called dig Economist where he's dug

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into this exact topic data centers are

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massive often windowless warehouses that

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house thousands of servers that run

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virtually non-stop some of the bigger

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data centers are as big as four football

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fields and use as much electricity at

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any given time as 880,000

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households there are more than 8,000

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data centers around the world and the US

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has more than any other country in 2022

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data centers artificial intelligence and

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cryptocurrencies made up about 2% of

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total Global electricity demand but by

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2026 that number is expected to double

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which is like adding the amount of

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electricity used by the entire country

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of Sweden I'll explain why in a

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minute all right support for this video

02:28

comes from clavo clavo works with

02:30

businesses to turn their data into

02:32

meaningful connections with their

02:34

customers through AI powered email text

02:36

messages and more according to clavio

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over 150,000 Brands trust their data and

02:42

marketing platform to build smarter

02:44

digital relationships with their

02:46

customers during the holiday season and

02:48

Beyond clavio has no editorial influence

02:51

over our work but they make videos like

02:53

this possible learn more at the link

02:56

below that big jump from 2022 to 2026

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six is thanks to Rising cloud storage

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and cryptocurrency electricity demands

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but it's also because of the AI boom We

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Know AI requires a ton of computational

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power but it turns out that the amount

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of electricity it uses is a really

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difficult question to answer AI is a

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huge umbrella term that includes

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everything from basic statistical models

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that detect patterns and data to

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generative AI that creates text and

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images and videos that's the most

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computationally intensive kind the thing

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is the handful of private tech companies

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that dominate the AI field don't really

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disclose how much of their energy use is

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dedicated to AI specifically if you look

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at Google's latest environmental report

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it clearly states they absolutely don't

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want to make a distinction between

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regular workloads and AI specific

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workloads and these company's AI models

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are mostly closed Source meaning no one

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knows exactly how they are built this

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has left some researchers to try to

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piece it together on their own

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researchers looked at an open source

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large language model called Bloom that

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has roughly the same amount of

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parameters as

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gpt3 and found that training something

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like gpt3 required almost 1300 megawatt

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hours of electricity about as much power

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as consumed by 130 homes in the US for 1

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year today large language models like

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GPT 4 have hundreds of billions of

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parameters if not a trillion and

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researchers say that the computational

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power required to train these models is

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expected to double every 9 months so far

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it has mostly been large language models

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driving the AI energy boom of course

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that could change going forward now we

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see AI on the rise for image generation

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and also specifically video generation

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so far we talked about training a large

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language model researchers also looked

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at energy use from people actually using

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it it's been estimated by myself and

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others that a single jet GPT interaction

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would take like 3 Watt hours which is

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comparable to running a low Loom and LED

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bulb for one hour so on itself it

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doesn't sound like a whole lot but of

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course hey it's the volume that matters

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this is 10 times more than a standard

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Google search and of course if you're

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talking about millions or billions of

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interactions the numbers start to stack

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up quickly Alex took another research

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approach by looking at the hardware used

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for AI training and use over 95% of the

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AI industry uses servers made by the

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company NVIDIA they could sell one 1.5

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million of their servers by 2027 he

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multiplied that by the information

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Nvidia publicizes about each of their

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servers energy demand he found that data

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centers devoted to AI alone could

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consume around 100 terawatt hours of

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electricity per year or about the same

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as his home country of the

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Netherlands there's a big part of

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Kathy's question I haven't gotten to yet

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can renewable energy meet the surging

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demand from the world's data centers

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the good news is that using green energy

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is the stated goal of a lot of these

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companies both Google and Microsoft have

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made pledges to be Net Zero by 2030 but

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there are signs that AI is disrupting

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those plants that's because solar and

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wind energy can't produce electricity

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all of the time and these data centers

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need to be running all of the time in

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most cases they will just have a backup

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connection to the power grid which will

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uh have fossil fuels on it it's not just

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that data centers are being built at a r

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that renewable energy infrastructure

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can't keep up with it can take a year to

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build a data center but many more years

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to get a solar or wind farm on an

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electrical grid Google's 2024

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sustainability report showed that the

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company's emissions Rose by 48% from

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2019 to 2023 in large part due to its

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data center energy consumption

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suggesting that integrating AI into

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their products can make reducing their

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emissions challenging there's already

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evidence in the US that coal plants that

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were meant to close are staying open

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because of data centers electricity

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demands and that state utilities are

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building new natural gas plants for the

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same reason but even if these tech

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companies can look good on their

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sustainability reports and get to Net

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Zero they's still a problem the thing is

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that our renewable energy Supply

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globally is limited so if we attributing

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an increasing part of that to the data

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center industry the consequences that

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there's less Renewables available for

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everything else that probably will mean

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that on the whole we will end up using

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more fossil fuels anyway with all this

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context the answer to Cathy's question

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is that for right now we aren't prepared

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for renewable energy to meet the

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increasing demand of the world's data

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centers so what do we do about this as

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users it would be extremely difficult to

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opt out of backing up our data on the

Key Vocabulary (50)

to A1 preposition

toward

"Go to school."

of A1 preposition

belonging

"Cup of tea."

and A1 conjunction

also

"You and me."

in A1 preposition

inside

"In the house."

that A1 determiner

specific

"That book."

it A1 pronoun

A third-person singular pronoun used to refer to an object, animal, or situation that has already been mentioned or is clear from context. It is also frequently used as a dummy subject to talk about time, weather, or distance.

for A1 preposition

Used to show who is intended to have or use something, or to explain the purpose or reason for an action. It is also frequently used to indicate a specific duration of time.

not A1 adverb

A function word used to express negation or denial. It is primarily used to make a sentence or phrase negative, often following an auxiliary verb or the verb 'to be'.

on A1 preposition

A preposition used to indicate that something is in a position above and supported by a surface. It is also used to indicate a specific day or date, or to show that a device is functioning.

with A1 preposition

A preposition used to indicate that people or things are together, in the same place, or performing an action together. It can also describe the instrument used to perform an action or a characteristic that someone or something has.

as A1 conjunction

A conjunction used to compare two things that are equal in some way. It is most commonly used in the pattern 'as + adjective/adverb + as' to show similarity.

you A1 pronoun

Used to refer to the person or people that the speaker is addressing. It is the second-person pronoun used for both singular and plural subjects and objects.

at A1 preposition

A preposition used to indicate a specific point, location, or position in space. It is also used to specify a particular point in time or a certain state or activity.

this A1 pronoun

Used to identify a specific person, thing, or idea that is physically close to the speaker or has just been mentioned. It can also refer to the present time or a situation that is currently happening.

but A1 conjunction

A coordinating conjunction used to connect two statements that contrast with each other. It is used to introduce an added statement that is different from what has already been mentioned.

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Description

How our digital lives are impacting our climate goals. This video is presented by Klaviyo. Klaviyo has no editorial influence on our work, but their support makes videos like these possible....

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