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An acre of land is 66 feet across, 660 feet long.

It is the unit by which all things that happen on it are measured.

A farmer might make $1 ,200 per acre of farming corn.

Raise cattle instead and one acre may produce $3 ,000 in a good year.

Rent it out to someone who wants to build a windmill on it, $5 ,000.

But choose to use that acre instead for an AI data center.

That number goes way up, about $10 million per year a number

that until very recently could only be claimed by the land in prestigious areas of the most prestigious cities, New York, Paris, Tokyo, London.

It wasn't until AI was placed in front of the words data center that a shift occurred, a shift that has taken just three short,

fast moving years, moving data centers from something nobody gave a passing thought about to something else entirely.

Something more profound than electricity or fire.

Compute is going to be the currency of the future.

Meta will invest hundreds of billions of dollars into compute build -out.

Infrastructure we call factories, AI factories.

It's the largest AI infrastructure project by far in history.

Colossal data centers, very, very massive structures.

Bridges, power plants, skyscrapers, stadiums, docks, railroads.

In the long history of the U .S building major things,

just two come anywhere close to the backlash being felt by AI data centers right now.

There was the U .S interstate system in the 1950s, a major fight over what land exactly all

this new pavement would be poured over how close

they would be to people's everyday life people really didn't want a highway running through their neighborhood

then there was the nuclear decade of the 1970s grinding to a halt as major protests erupted at every site

that wanted to break ground on a new plant people were

scared nuclear plants might kill them looking at the alternatives for energy nuclear fission must be stopped go out

and ask a thousand people today

and the amount of people who say

they don't want a data center next to them is far more than the number who said

they didn't want a nuclear plant next to them back in the 70s.

This was duck and cover drills in school, countries testing ever bigger nuclear weapons.

How were nuclear plants more popular at that moment in time than data centers are now?

What exactly is this fight over data centers actually about?

This video is sponsored by ZogDoc.

More on them later.

The internet had a rule, and the rule was a problem.

The backbone of the internet, the long wires between cities, were owned and paid for by the government.

Meant for universities and labs, you weren't allowed to use them for business.

You could send a professor's email across it, you could not send a customer's.

Zero commercial activity allowed, which was fine, until people showed up on the internet who wanted to be customers.

And a few businesses, eight to be exact, showed up who wanted to serve them.

If a customer of one wanted to email a customer of the other, the only wire between them was the one they weren't allowed to use.

So the two companies had to physically touch their wires together somewhere.

A line coming out of one building, a line coming out of the other, and physically meeting somewhere.

That was the only way two customers could talk.

It's kind of crazy to think about how they solved it.

Just a couple of guys, one from each of these first companies, ran a wire from the street,

one for each company, and into the first meeting place, which was just a plain office suite in a building in Tyson's Corner, Virginia.

Two companies at first, then another, and another.

Within two months, eight offices were connected together, each company running a line from their building and into this room.

Once more companies joined in that room filled with cables, they moved across the street to a parking garage.

Actually, a tiny room off the garage of an office building on Boone Boulevard.

One server, one plug.

That was it.

Nobody worked there.

Nothing was computed there.

It was a place for a handful of companies to touch their wires together.

Yes, I said it again, and I'll probably say it a fourth time.

This was the first public internet and the world's first data center,

a room whose whole point was simply a meeting place for other buildings around it to touch.

By the time the government shut off the wire, companies weren't allowed to use,

around half the world's internet traffic was already passing through that little room in that garage in Tyson's Corner, Virginia.

Visit Tyson's Corner today and it will appear as any town USA.

There is nothing that would alert you to the fact that this place, this little room in a garage was the spark

that created what is 30 minutes down the road the largest

collection of data centers the world has ever seen data center

alley data center after data center after data center picture super walmart all the aisles how much time

it takes to walk from one end to the other in this 20 mile area

there are 250 super walmart's worth of data centers 52 million

square feet of floor space where servers let millions of companies

touch their wires together the center of gravity had formed

there was a sense a lot of it in being near

the hub where every company around the world was exchanging information

with each other the average person will not wait more than half a second google said

so if you want us to show people your ads you must be located in this area

when a person lands on a website with ads on it we'll send out a broadcast

and a profile of who we think this person on the site is you have 100 milliseconds to analyze

that profile and tell us how much you're willing to spend to have us put your ad in front of them.

Received the broadcast in San Francisco in 35 milliseconds or eaten up waiting for it to arrive.

Then another 35 milliseconds to send it back.

70 % of your time was gone before you had even looked at who the person might be.

Analyze the profile better than everyone else.

That was how you made money.

Your bids would be better.

Every millisecond of time spent sending things back and forth mattered.

A lot.

So not only did dozens of companies put servers in the same area as Google,

they paid extra money to put their servers in the exact same building as Google.

This is how all the free stuff we use on the internet works, and it is the most intense, highest -volume compute event on the planet.

Type in a website, hit enter, and Google fires off an auction billions of times per day.

Google Search was a great product, better than the rest, but this auction machine is what made Google into the company it is today.

For this, and many other interactions like it, once the internet really started to take off,

it was not an option to be somewhere everyone else wasn't.

If you've heard of Loudoun County, Virginia, that it is the richest county in the United States, this is the place they're talking about.

Now, it is important to point out three things here.

One, the population here is not rich because the data centers are here.

It's a suburb of Washington, D .C.

Number two, the data centers are not here because the population is rich.

They're here because they needed to be here.

Number three, the local government here is rich because of taxes they put on the data centers.

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Three different things, just so there's no confusion.

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The who's who of the internet all had or have space here.

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AOL was a few miles down the road.

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AWS started here in 2006.

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The first region you could rent spare compute from was U .S.

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East 1, something every software engineer knows very well.

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It is the default setting for every cloud provider, and it routes right to Northern Virginia because that's where everyone already was.

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Windowless, long, low, nobody protested.

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Few knew they were there.

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A data center in 2015 had every photo you had ever taken already.

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Netflix keeps copies of every single movie in its library in dozens of data centers around the country.

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WhatsApp messages all flow through these.

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Data centers are the internet.

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And until very recently, they drew about as much attention as the warehouse next door holding lawn chairs.

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Then someone decided to put a lot of a very different type of computer inside. Is that blinking?

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No. I thought I charged that last night.

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How long is this going to take?

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16 watts?

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What is a watt?

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You know what a watt is?

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about one hour all right we are good though battery is back no blinking nice okay

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so plug in your phone

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it's about 10 watts click the tv on 100 watts turn

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on the microwave 1000 watts the labels on all the electronics

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that we have around where it says stuff about electricity usually

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in watts those labels are not really made for you

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and me it's the maximum amount of electricity this thing might ask for in one second.

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Needed by electricians so they have a general idea of what size wire to run to what part of the house.

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Each run to a different part of the house branching off the main wire coming from the street.

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Each of these runs, the wire chosen for them can only handle so much electricity flowing through it.

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Try to run your washing machine and dishwasher on a small size wire and you'll trip the breaker,

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which is why the electricity always goes out in that one section of the house.

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Hey!

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Even though you've told them a dozen times, we don't put the big space heater in that room for a reason.

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It's not even cold.

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Put a blanket on.

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It is also the reason your washer, dryer, oven, and dishwasher are plugged into those big outlets,

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connected to wires large enough to handle the extra electricity they need.

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This system of different wires, different plugs, different circuit breakers, but ultimately run back to the power plant that makes the electricity?

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It's the same for all the factories, office buildings, stadiums, everything that uses electricity.

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It's just scaled way up.

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Wires are bigger.

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Breakers are much bigger.

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The transformer that takes it off the main line and channels it into your building, far bigger.

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An average American home around the clock averages about 1 ,200 watts, which is a little more than a microwave.

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If every home in New Orleans sat down and hit play on Netflix at the same time,

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10 ,000 watts of servers would be running to deliver all of that video.

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It's about eight homes worth of electricity.

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But then we started plugging in these new computers, the computers that would force all of us to reckon with what exactly would happen

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when instead of servers sending us Netflix videos,

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we installed the special servers that allowed us to ask for almost anything to be created on the spot and sent back.

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The movie coming from Netflix was made years ago.

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Netflix compressed it, copied it a few thousand times, and put the copies on servers

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that sit inside a data center probably within a few miles

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of your house press play on saving private ryan the signal you sent goes to a box

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that finds the file and pushes it back down the wire to you

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that is it every second of video you have ever watched was finished before

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you asked for it ask an ai for a video

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or anything else for that matter

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and nothing exists yet there is no file there is no template there is an empty void

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that must be filled if it can't figure out how to fill the void there is no reason for to exist.

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So think about what a video is.

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It's just a lot of still images strung together.

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Frames playing in sequence one after another.

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For AI to make a two -second video, it has to make 48 different images.

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Start to fill the void by creating the first frame, but being video, the next one must be different than the first.

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But it can't be too different.

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It needs to make sense.

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So it checks the second one against the first, then thinks about how that might make sense against the third,

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makes the third, does the same check, the fourth, on and on.

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Each one guest saying i think

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i'm doing a good job filling the void with something

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this random human who gave me

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this task will like each frame 2 million pixels built from everything the model has ever seen

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this is the whole difference between the old data center world

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and the new one the chip

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that delivers it's called the cpu

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it's the one in your laptop eight cores maybe 16 very

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fast very good at doing one thing after another a kitchen with eight outstanding chefs all working on their own dish.

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The chip that creates, the void filling chip, that's called a GPU.

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Something like 17 ,000 cores.

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Each one is slow and dumb, not even close to a chef.

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But all 17 ,000 of them are working on the same frame at the same time.

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17 ,000 cooks working on the same dish at the same time.

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And it is here

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that we arrive at what might be the true sticky center of what the data center debate is actually about.

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The Netflix servers were 10 ,000 watts.

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Okay, everybody is watching those movies.

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These machines that fill an empty void require 120 ,000 watts.

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That's 100 homes worth of electricity.

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Leading to a very tricky question that has resulted in what has to be something many of us have now experienced.

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Yeah, you just type in the box and it'll do it for you.

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What do you mean it'll do it for you?

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Anything you want.

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I don't know what that means.

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Just ask it something.

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All of this electricity, and what an interesting piece of the puzzle electricity is, which we will soon see.

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But all of this electricity, all of this land, all of this money, and when the average person has the audacity to ask something like,

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well, what do I get from this?

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The best response is, I don't know exactly, something cool.

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It can write emails, either that or it might kill you.

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But if you don't mind, I'd like to build another city -sized box across the street so we can create more cool stuff.

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This is perhaps the ultimate example of a Lulu.

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We'll come back to that in just a second and turn to me, finally booking the appointment I kept pushing back.

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Thanks to the sponsor of this video, ZocDoc.

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I needed to see a dentist.

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Not an emergency, just overdue.

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And every time the thought showed up, I came up with a good reason to wait.

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Got to take a look through this edit, a lot of reading to catch up on, and one more research pass until finally it is late

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and booking feels like a whole new thing I don't have the brain for.

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Later becomes next week, which becomes next month.

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The real problem was much less the actual visit and more the making of the appointment.

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Open a browser, hunt for a dentist, check insurance, read reviews on three different sites, call during business hours, sit on hold,

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wait for a callback that lands while I can't answer.

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That version of the task is why people like me stall.

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So I stopped stalling and opened ZocDoc on my phone.

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Local doctors who take my plan, real patient reviews next to the names, and actual appointment openings.

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I could see and tap.

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Compare a couple, pick a time that fits, book it.

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The thing I'd been protecting my whole day from took a couple minutes between tasks.

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If you've got an I'll do it later appointment sitting in the back of your head,

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try it from your phone at ZocDoc .com forward slash Maxonomics.

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Local, in -network, real openings, booked without turning your afternoon into hold music.

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So thank you to ZocDoc for sponsoring this video.

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Let's get back to it.

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Do you know why modern prison cells don't look like this anymore and instead look like this?

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Inmates can throw stuff out.

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One variant of that is a fluid assault.

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A guard walks by, one of the inmates inside has acquired fluid of some type.

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They throw that fluid on the guard, an assault by fluid.

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These are the kinds of doors the Dakota Territory Prison have.

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Going all the way back to 1881, this place has stood, barely changed for nearly 150 years.

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Its cells are 30 % smaller than the industry standard.

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There are no windows or line of sight to the outside world.

234

Many of the cells, showers, are in one long basement room where 40 men shower at the same time with two guards present

235

and there is exactly one stairwell that allows you to exit the room.

236

It's a 19th century prison, probably a great one for the time.

237

But as time has gone by, there are many things that are wrong with this prison, not just from the prisoner perspective,

238

but from the people who have to staff it.

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It is impossible to get it up to life and fire safety codes.

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So bad that a federal judge ruled that it did indeed violate every prisoner's 8th and 14th Amendment rights.

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That was all the way back in 1984.

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And that is about as far as the whole thing has gotten because prisons are Lulu blue, a locally unwanted land use.

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Finally, in 2021, the state said no more.

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This has to be fixed.

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And a judge agreed.

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A prison, like a jail, is a necessary government function and it must be located somewhere.

247

The state starts offering money to people who own land, $70 ,000 an acre and a place where land goes for $10 ,000 an acre.

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One said yes, who thought he was selling for a fairground? as soon as he found

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it was for a prison he flipped no we'll build it on the outskirts of

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that place what about

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that place no no no no protest after protest hopping from one place to the next pressuring the mayor

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and politicians to say no 40 years to get from judge to breaking ground

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which finally happened april 2026 on a section of land next

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to a concrete plant landfills airports power lines highways many of the things

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that we all use or benefit from indirectly are exactly the things that absolutely no way do not build that near me.

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They don't pass the kitchen table test where you sit down with your family

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and you talk about the new landfill that they want to put in right over there.

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And you all acknowledge that, yes, our garbage will go there and everyone's garbage needs to go somewhere.

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The value of our land will probably go down there.

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It's probably going to be traffic, maybe even a smell, despite knowing it's something thousands of other people will use.

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It's so easy to hit no on that.

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Data centers do not pass the kitchen table test either, yet anyway.

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But for a reason most people haven't really considered or don't want to put into words.

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All the benefits of a state prison, it all stays in the state.

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Bad people from your immediate area are taken away and put inside explicitly so they cannot harm you.

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That is a public service the person who lives next to the prison can clearly see.

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Even if they don't love the laws or how the legal system works, or even that the prison is there,

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the prison, it is built to serve them.

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Just ask it something.

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Like you're speaking to a person, just like you're speaking to me.

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Like what?

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Okay.

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Okay.

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What does a data center do?

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Every two seconds, roughly, depends on exactly what you're asking and what you're doing.

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One million people are able to send something to one of the mega AI data centers being built,

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and it will fill the void and send it back.

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Back is wherever.

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There's a small chance it's the house a mile away from the data center, but probably not.

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There are a thousand people in some of those towns.

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Most of them don't even use AI.

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This is a much harder kitchen table test.

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A local fight over where the prison should go, brutal, but it's honest and easy to understand.

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A data center breaks the old moral geometry of this is our mess, so this is our dump.

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A data center is not matched to its users.

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It is matched to four inputs, power, water, fiber, and a deal.

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That deal part, the details of it, the kitchen table is where that deal is made.

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And the people around it are focused on exactly two things.

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This is the current drinking water in Morgan County, Georgia.

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Researchers say the amount of water used by data centers can

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be up to millions of gallons during hot days the house was built in 2005

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and the water level in our wells dropped 15 feet the thing falling just behind first on

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that list number two water data centers get hot historically the cheap way to cool

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it is the same way we as humans do you sweat

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it out put water into the building put the heat

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that comes out of the chips into

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that water let the water evaporate the heat leaves with it running that loop all day,

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a big data center running a particular type of cooling system can go through a million gallons.

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If you put that data center in a dry county with a small utility, that is a number the neighbors are going to question.

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And if they can't get a clean answer, that might be the bigger issue.

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Like at this site in Oregon, Google was using more than a quarter of the town's water in the city.

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It wasn't even Google went to court to keep that a secret.

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That's the part people are actually mad about.

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It appears to be much less about the gallons, much more about not being told.

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If you back out and look at water usage by activities that are in a house, taking showers, doing dishes, drinking it,

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this is how it breaks down.

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Farms are the biggest consumers of water in the U .S.

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Almonds, pistachios, golf courses rank up there, and this little box down in the corner is data centers.

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It doesn't mean you can put a data center anywhere.

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It doesn't mean you can be reckless, but actual documented harm to residents, meaning someone lost water or had it degraded because of a data center,

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is a very short list.

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Of the 5 ,400 data centers, the cases that get named over and over are the same handful.

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The one that goes around is Newton County, Georgia, about muddy colored water.

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It's not the city water everyone uses.

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It's four private wells.

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And by all counts, just to get all sides of the situation, including the county commissioner, the cloudy water appeared many years ago,

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years before Metis started building its data center.

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But either way, the industry reads the same polls everyone else does.

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New buildings are being designed to run closed loop, which means they use the same water for 10 years.

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Water goes in one time and then it just recirculates.

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Or a new type of air design system or no water at all.

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Because a million gallon headline in a dry county is going to cost more than cooling savings.

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But the number one thing, what 77 % of people are focused on, it is the number that shows up at the top of every poll,

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poll after poll, all political parties.

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The number one thing being chatted about around the kitchen table, is this going to make my electricity bill go up?

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Announcing the formation of Stargate, the construction of colossal data centers.

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NVIDIA announcing that it will invest $100 billion into OpenAI.

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That project will use about 10 gigawatts of power.

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That's a lot of gigawatts.

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1 ,000 watts, how much a microwave pulls, is one kilowatt.

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1 ,000 kilowatts, which is 1 ,000 microwaves, is one megawatt.

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So naturally, we just keep the pattern going.

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1 ,000 megawatts, or what is 1 million microwaves, is one gigawatt.

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Or to make it a little more concrete, imagine if every home, apartment,

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house, condo, whatever, all turn their microwave on at the same time in a city like Chicago.

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It's about one gigawatt.

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Add up all the data center proposals and it's very easy to start wondering,

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all right, that's a lot of microwaves being turned on at the same time.

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Where is that going to come from?

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Across the entire U .S., this is how much electricity can be generated this year.

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Of that, there's a decent amount that won't be used.

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Surplus.

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By 2030, the U .S barely generates more.

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Still a surplus, though.

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By 2035, there's less electricity available than 2030, and the surplus disappears.

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So where is this electricity going to come from?

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People refer to the grid as though it's an interstate highway system, a connected web where each part connects to the whole.

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It is not.

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The United States of America, all 50 states right as they should be, but this is not how the electric system works,

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tidy inside of each state.

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This is.

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This is the electric states of America.

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When you turn your microwave on, there's nothing that says the electricity that flows into it comes from the power plant closest to you.

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It might, or it might come from any of the other power plants inside the bounds of the electric state in

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which a person lives.

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A plant that is fired up at that moment and making electricity when you hit start.

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Flowing out of any of the hundreds of plants in each zone, through transmission lines, into local lines,

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into your house, just as movie night is about to start.

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As electricity took off in the 1800s, power plants were small and local.

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They connected their own lines to their own customers.

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Power plants, though, started to be made bigger, and they were made more powerful.

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It started making a lot of sense to have a few hundred big ones instead of thousands of smaller ones.

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So they naturally started connecting one set of wires to another, small utilities and power plants combining to make a bigger one.

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It was more reliable.

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The electricity could be made cheaper, just like it wouldn't make sense to have one company that made gasoline in each town.

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Instead, a few giant refineries make gasoline for the whole region.

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Gasoline and diesel are exactly like this, actually.

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If you look at the map, it's the same kind of weird map for oil storage and refining.

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This weird map is why it doesn't make any sense to look at how much total electricity the U .S can make.

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What matters is how much each region can make and whether each region has more than enough or not enough.

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And this is where things get interesting because just like the 50 individual states of the U .S., each one its own little experiment,

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the electric states of America are also experiments.

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They do not all do things the same way.

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How decisions to build more power plants are made, what kinds of plants to have,

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all the way to what to put on our bills that we discuss around the kitchen table.

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Most of the U .S population is in a region just like the one that hosts the world's most data centers.

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No one company owns every part of the system.

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One company owns the power plant, another the big transmission lines, another one owns the lines in your neighborhood and sends you your bill.

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And yet another organization is responsible for getting all of those companies to cooperate

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and to run hundreds of auctions that decide the price you pay for your electricity.

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Those auctions work like this.

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Auction number one.

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Every hour, every plant joins an auction, saying the minimum amount of money they'll sell their power for.

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Bids roll in.

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The organization running the auction looks at all the electricity being asked for

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and what their historical models say to expect over the next hour.

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They sort the bids by amount.

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The last bid that covers all the power they expect to need, that is the clearing price.

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And that price becomes the price for every power plant that submitted a lower bid.

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In other words, if I say $5 and you say $10, and we need your electricity to cover the amount we need to deliver to customers,

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your bid is accepted.

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You get paid $10, I also get paid $10.

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Auction two, same type of auction, but this is a single major auction that happens once every year, asking a simple question.

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What do we have to pay you to make sure you are available on the worst, hottest summer afternoon when electricity demand is at its highest?

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Two years from now, the people holding the auction look at how much electricity they think they'll need, a forecast looking two years into the future,

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how much do we need?

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How much do we think that will grow?

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How many plants are going to retire?

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How many are going to be built?

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Add up the numbers and the price that comes in from the plant that gets the total amount over the forecast,

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that's what every plant gets paid.

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And that amount is split across everyone's bill.

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It is an insurance payment, a just -in -case to make sure the lights stay on on the worst day.

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If we mosey on down to the south, things get much easier.

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Only two areas of the country live in this type of system, the southeast and a big swath of the west.

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These areas are much simpler.

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One company, like the Southern Company in Georgia, owns the plants, the wires, and sends you the bill, what is called vertically integrated.

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Once per year, they publish a big forecast to determine how much electricity they'll need to keep their customers happy the following year.

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Southern goes to the Georgia government and says, here's what it's going to cost to keep the lights on next year.

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Please let us charge that.

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A commission looks at it, says yes, no, or not that much, and whatever number they negotiate is what customers pay.

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There's no hourly dogfight, no two -year reservation fee, one company, one hearing, one rate.

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A little farther west in Texas, though, this region is unique.

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In the entire country, it is the only region that works like this, as simple as can be.

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And interestingly, note that the borders of this region are entirely within the state borders.

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A very intentional decision because...

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That is the only reason they're allowed to do it the way that they do.

418

If you've ever heard the term interstate commerce, that is what Texas does not want to trip.

419

Connect to a system that serves customers outside of Texas,

420

and the federal government is then allowed to put rules on Texas about how it runs its system.

421

And Texas does not want those rules.

422

The system would become much more complicated than how it currently works, which is just a round -the -clock auction.

423

We need this much electricity.

424

How much will you sell it for it?

425

And a plant only gets paid when it actually makes the power.

426

That is it.

427

Most hours that's cheap, on a brutal afternoon

428

when every air conditioner in Dallas is running full blast or a freak winter storm like a couple years ago,

429

the price of that hour is allowed to go as high as $5 ,000.

430

All that to say, it's not the same everywhere.

431

Three different systems will lead to three at least somewhat different outcomes.

432

That's not to say any of them solves the demand for electricity entirely, but this is where things stand now.

433

This is how much surplus each region will have this year.

434

Everyone is in the green by a decent amount.

435

Fast forward to 2030 and the picture starts to shift significantly.

436

The markets where stories of rising electric bills have swirled are already in deficit.

437

Out to 2035, and those same areas with bill increases today get dramatically worse.

438

Your rising power bill and how all these data centers are playing a role.

439

Should Dominion customers continue sharing those costs?

440

Who should pay for it?

441

It has to be the data center industry.

442

What's at risk is every person, every household runs the risk of a doubling or even a tripling of the amount they pay.

443

Not all of it is data centers.

444

Some of it is regular upkeep, some is maintenance, and some is an error where those two -year -out projections didn't actually happen.

445

The organization that holds the auction said 30 gigawatts were coming, but only five did.

446

The charge from that calculation already appeared on customers' bills.

447

So that's the case against it.

448

If someone shows up in your town asking for enough electricity to power a city,

449

and the power company needs billions of dollars of new wires and substations and power plants to serve them, there's an extremely reasonable question to ask,

450

who pays for all of that?

451

Because if the answer is you, if this company's decision to build here makes the number on your kitchen table go up,

452

then suddenly the world's AI ambitions have become your electric bill.

453

But there is another side of this fight,

454

because there are two ways to look at a company showing up and asking for a billion watts of electricity.

455

One is, where are we possibly going to find another billion watts?

456

The other is, someone just showed up offering to buy a billion watts.

457

Those are very different ways of looking at the exact same thing.

458

For most of modern American history, electricity demand grew slowly enough, so slowly, that the system could mostly grow slowly with it.

459

AI has definitively changed that.

460

For the first time in generations, enormous customers are showing up saying, if you can make vastly more electricity, we will buy it.

461

We will buy a lot of it.

462

Not for an hour, not when it's cheap, all day, every single day.

463

And suddenly, all of these weird electric states we just looked at, systems built differently, regulated differently, priced differently, have been dropped into the same experiment.

464

Can you build?

465

Can you build quickly?

466

Can you build without making everyone already living there pay for it?

467

If you can, what happens to that place that does?

468

You become a place capable of producing enormous quantities of reliable, inexpensive electricity in an economy that increasingly wants enormous quantities of reliable, inexpensive electricity.

469

AI needs that.

470

Factories need that.

471

Advanced manufacturing needs that, and whatever comes after AI may need it too.

472

So maybe these data centers aren't just consuming the electric system.

473

Maybe they are placing an enormous bet on which electric systems can grow.

474

And now every one of the electric states has to decide whether it wants to take that bet.

475

So the four biggest companies in America are spending, they're betting, something like $700 billion this year on these buildings.

476

Last year was about $400 billion.

477

The entire interstate highway system, every mile, if you adjust for inflation, costs about $500 billion.

478

That was spent over 40 years.

479

These companies are spending more than that in 12 months.

480

Remember U .S.

481

East One, the default setting for the whole internet, the reason so much of what happens online passes through Virginia?

482

Right now, when someone in London or Sao Paulo or Jakarta asks an AI to fill the void,

483

there's a very good chance that void gets filled here in the United States.

484

And that is the other side of the argument.

485

The people spending all this money believe compute is going to become one of the most important inputs in the global economy,

486

that compute is going to become an export and one that is at least as important as oil.

487

And if they're right, the question isn't just who uses the AI, it's where the AI gets made.

488

Because when a country becomes the early center of an important new technology, it doesn't capture only the thing itself.

489

The money comes, the companies come, the suppliers come, the engineers come,

490

and then people figure out what else they can build because all of those things are already there.

491

We've actually watched this happen once already in the story.

492

Why did everybody put their servers in Northern Virginia because everybody else had already put their servers in Northern Virginia.

493

The center of gravity formed, and then the center of gravity became a reason to keep building there.

494

The argument from people building these boxes is that AI could work the same way, except now the competition isn't between Virginia and California.

495

It's between countries.

496

And this chart is what America's lead looks like today.

497

A formidable lead, but not insurmountable.

498

Loudoun County, U .S.

499

East 1, it's not wealthy because the data centers are there.

500

We established that already, but it's government has collected enormous amounts of money from them,

501

money that has helped pay for very nice schools and public services

502

and allowed the county to lower property taxes by almost 40%.

503

So here is the pitch.

504

Do that again, except bigger, except for the entire United States.

505

If the world is going to spend trillions of dollars building the infrastructure behind artificial intelligence, build a disproportionate amount of it here,

506

generate the electricity here, build the infrastructure here, collect the taxes here, develop the expertise here,

507

and hope that whatever gets built on top of all that compute gets built here too.

508

That is the bet.

509

And it's not a ridiculous one, but there is a problem with it because the person sitting at the kitchen table,

510

it's not the United States of America.

511

They're the person sitting at the kitchen table.

512

So let's bring this full circle.

513

A nuclear plant is a building that makes electricity for the people who live around it.

514

A data center is a building that uses electricity on behalf of people who mostly live somewhere else, probably far away.

515

Same category of unwanted thing, opposite direction of flow.

516

If you're sitting around the kitchen table, the test, it ends right there before anyone says a word about what AI is or is not.

517

But the connection to nuclear plants, it's not complete because protests are not what killed American nuclear power.

518

Breakdown in an atomic power plant is probably the worst nuclear reactor accident to date.

519

An unexpected release of more radiation today from the Three Mile Island nuclear power plant has led to a series of consequences.

520

After Three Mile Island, every plant under construction had to be redesigned mid -bill.

521

Costs doubled, then they tripled.

522

As just one example, in Washington State, a group of public utilities had started five plants at once.

523

And when the money ran out, they defaulted on what today would be almost $10 billion in debt.

524

It's the largest utility default in American history.

525

And around the country, another 100 plants were canceled.

526

And when the projects went bad, regular people, regular electricity customers were often left holding the bill.

527

So for 30 years, nobody broke ground on a new one.

528

Nobody had pockets deep enough to backstop the cost increases.

529

Something people didn't want near them anyway, that had a high chance of becoming a bill they would pay for?

530

Non -starter.

531

But the interstates?

532

The interstates went the other way for a reason that had nothing to do with them being popular.

533

Quite simply, the federal government paid 90 cents of every dollar to construct them.

534

The fights were real, some highways got stopped, whole neighborhoods got saved, but the fights were only really ever about where the road went,

535

never about who paid for the bill.

536

It's a messy fight, but a fight that was survivable.

537

Today, now, just three years into this whole thing, everybody is intently watching the bill.

538

A 12 -month moratorium was signed in mid -July by Governor Kathy Hochul, halting the development of data AI centers.

539

Governor Greg Abbott is pausing all data center permits across Texas.

540

These announcements, you would be stretching to call these bans.

541

By any definition, ban isn't really the right word here.

542

These are pieces of paper saying, if you want to build a data center, you have to prove you can pay for it, especially the electricity.

543

Ohio, Reserve enormous amounts of electricity and don't show up.

544

You still owe 85 % of the cost.

545

Virginia.

546

Data centers are being separated into their own customer class with their own rates.

547

Louisiana.

548

Three new gas plants for one

549

Meta data center, which

550

Meta has to pay for. And Pennsylvania.

551

A company agreed to buy power from a nuclear plant for 20 years so its owner would restart it.

552

That plant is Three Mile Island.

553

Constellation Energy said that it will reopen the Three Mile Island nuclear power plant, selling all of the power to Microsoft.

554

The building that put the final nail in the coffin of American nuclear power is being restarted for a data center,

555

a thing that is less popular than nuclear plants.

556

This time, the customer can afford the bill.

557

In the last great build -out, when costs exploded, it would land on regular people, ordinary electric customers.

558

Today, nobody really knows exactly how AI plays out.

559

Anybody who says they do is selling something, but the data center fight could be,

560

might be, maybe even likely is a fight over a much older and a much simpler question.

561

When the cost lands, who is sitting underneath it?

562

The town of a thousand people or whoever built the box?

563

There are actually other things I'd like to go on about, like car factories versus data centers.

564

People accept factories.

565

They come with jobs.

566

Data centers, not so much.

567

And about half a dozen other things.

568

But I am way over time.

569

I have to end this.

570

So who knows?

571

Maybe there's another angle to this whole thing.

572

We'll explore another time.

573

But until that time, thank you for watching.

574

Oh, and hit that subscribe button.

575

It is down there somewhere.

576

And I will see you in the next video.

577

See ya.

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Лексика и советы по произношению к этому уроку

Этот урок разговорной практики построен на видео «What They're Not Telling You About Data Centers». Чаще всего повторяются слова: center, electricity, plant. В этом видео 577 предложений и 7149 слов для шедоуинга. Речь длится 34:26. Говорящий говорит быстро, около 208 слов в минуту, поэтому звуки часто сливаются и сокращаются. 85% слов входят в 3000 самых частых слов английского языка; остальные стоит разобрать перед занятием.

Ключевая лексика этого видео

15 слов из видео, которые стоит выучить, с произношением и значением:

Слово	Произношение	Значение
wire существительное	/ˈwaɪɚ/	про́волока, про́вод
watt существительное	/wɑt/	ватт
auction существительное	/ˈɔkʃən/	аукцио́н
server существительное	/ˈsɝvɚ/	се́рвер
void прилагательное	/vɔɪd/	пустой, порожний
microwave существительное	/ˈmaɪkɹoʊˌweɪv/	микроволна́
enormous прилагательное	/ɪˈnɔː.məs/	огро́мный, грома́дный
interstate наречие	/ˈɪntɚˌsteɪt/	междушта́тный, межшта́тный
acre существительное	/ˈeɪ.kɚ/	акр
infrastructure существительное	/ˈɪnfɹəˌstɹʌkt͡ʃə/	инфраструкту́ра
protest существительное	/ˈpɹoʊ.tɛst/	проте́ст
chip существительное	/t͡ʃɪp/	ще́пка, лучи́на
utility существительное	/juːˈtɪlɪti/	поле́зность
garage существительное	/ɡəˈɹɑʒ/	гара́ж
fluid существительное	/ˈflu.ɪd/	жи́дкость, флюи́д

Фразовые глаголы, которые вы услышите

Слово	Значение
show up глагол	объявля́ться, объяви́ться
figure out глагол	разбира́ться, разобра́ться
go up глагол	поднима́ться, подня́ться
back down глагол	пойти́ на усту́пки, пойти́ на попя́тный
back out глагол	сдавать назад
break down глагол	ломаться, сломаться
come up with глагол	придумывать, приходить в голову
eat up глагол	съесть, дое́сть

Фразы, которые стоит повторять

Короткие законченные фразы из видео, которые пригодятся в повседневном разговоре:

You know what a watt is?
What do you mean it'll do it for you?
I don't know what that means.
How much do we think that will grow?
How much will you sell it for it?

Грамматика в этом видео

Конструкции, которые говорящий использует чаще всего, с точными словами из видео:

Конструкция	В видео
Условные предложения if + предложение, will/would + глагол — условие и его результат	if you don't mind, I'd like · If you've got an I'll do
Present Perfect have/has + причастие прошедшего времени — прошлое действие, важное сейчас	has taken · has ever seen · you've heard
Пассивный залог be + причастие прошедшего времени — важно, что происходит, а не кто это делает	are measured · be claimed · was placed
Придаточные определительные who / which + предложение — уточнение о человеке или предмете	someone who wants · people who say · allowed, which was

Произношение, на которое стоит обратить внимание

Говорящий использует 70 сокращённых и редуцированных форм, например don't, they're, you're. Произносите их коротко, так, как слышите.

Звуки «sh» и «zh»: auction /ˈɔkʃən/, garage /ɡəˈɹɑʒ/, transmission /tɹænsˈmɪʃən/, dish /dɪʃ/, commissioner /kəˈmɪ.ʃə.nəɹ/
Длинные слова — следите за ударением: electricity /ɪˌlɛkˈtɹɪsɪti/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, utility /juːˈtɪlɪti/, experiment /ɪkˈspɛɹ.ə.mənt/, differently /ˈdɪf.ə.ɹənt.li/

Звуки, трудные для русскоязычных:

/w/ — губы округлены, это не /v/: wire /ˈwaɪɚ/, watt /wɑt/, microwave /ˈmaɪkɹoʊˌweɪv/, quantity /ˈkwɑn(t)ɪti/, unwanted /ʌnˈwɒntɪd/
/h/ — лёгкий выдох, а не русское «х»: harm /hɑːm/, handful /ˈhæn(d)fʊl/, household /ˈhaʊshoʊld/, behalf /bɪˈhæf/, whoever /huˈɛvɚ/
Звонкие согласные в конце слова — не оглушайте их: void /vɔɪd/, microwave /ˈmaɪkɹoʊˌweɪv/, garage /ɡəˈɹɑʒ/, fluid /ˈflu.ɪd/, bid /bɪd/

Как заниматься с этим видео

Прослушайте всё видео один раз молча и выпишите незнакомые слова.
Начните со скорости 0,75×, повторяйте предложение за предложением и вернитесь к обычной скорости, когда станет легко.
Запишите себя и сравните с оригиналом, обращая внимание на такие слова, как wire, watt, auction.

Что такое техника Shadowing?

Shadowing — это научно обоснованная техника изучения языка, изначально разработанная для подготовки профессиональных переводчиков и популяризированная полиглотом доктором Александром Аргуэльесом. Метод прост, но эффективен: вы слушаете аудио на английском от носителей языка и немедленно повторяете вслух — как тень, следующая за говорящим с задержкой в 1–2 секунды. В отличие от пассивного прослушивания или грамматических упражнений, Shadowing заставляет мозг и мышцы рта одновременно обрабатывать и воспроизводить реальные речевые паттерны. Исследования показывают, что это значительно улучшает точность произношения, интонацию, ритм, связную речь, понимание на слух и беглость речи — что делает его одним из самых эффективных методов для подготовки к IELTS Speaking и реального общения на английском.

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