Luyện nói tiếng Anh bằng Shadowing qua video: What They're Not Telling You About Data Centers
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1
An acre of land is 66 feet across, 660 feet long.
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It is the unit by which all things that happen on it are measured.
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A farmer might make $1 ,200 per acre of farming corn.
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Raise cattle instead and one acre may produce $3 ,000 in a good year.
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Rent it out to someone who wants to build a windmill on it, $5 ,000.
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But choose to use that acre instead for an AI data center.
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That number goes way up, about $10 million per year a number
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that until very recently could only be claimed by the land in prestigious areas of the most prestigious cities, New York, Paris, Tokyo, London.
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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,
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fast moving years, moving data centers from something nobody gave a passing thought about to something else entirely.
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Something more profound than electricity or fire.
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Compute is going to be the currency of the future.
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Meta will invest hundreds of billions of dollars into compute build -out.
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Infrastructure we call factories, AI factories.
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It's the largest AI infrastructure project by far in history.
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Colossal data centers, very, very massive structures.
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Bridges, power plants, skyscrapers, stadiums, docks, railroads.
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In the long history of the U .S building major things,
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just two come anywhere close to the backlash being felt by AI data centers right now.
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There was the U .S interstate system in the 1950s, a major fight over what land exactly all
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this new pavement would be poured over how close
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they would be to people's everyday life people really didn't want a highway running through their neighborhood
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then there was the nuclear decade of the 1970s grinding to a halt as major protests erupted at every site
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that wanted to break ground on a new plant people were
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scared nuclear plants might kill them looking at the alternatives for energy nuclear fission must be stopped go out
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and ask a thousand people today
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and the amount of people who say
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they don't want a data center next to them is far more than the number who said
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they didn't want a nuclear plant next to them back in the 70s.
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This was duck and cover drills in school, countries testing ever bigger nuclear weapons.
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How were nuclear plants more popular at that moment in time than data centers are now?
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What exactly is this fight over data centers actually about?
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This video is sponsored by ZogDoc.
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More on them later.
35
The internet had a rule, and the rule was a problem.
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The backbone of the internet, the long wires between cities, were owned and paid for by the government.
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Meant for universities and labs, you weren't allowed to use them for business.
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You could send a professor's email across it, you could not send a customer's.
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Zero commercial activity allowed, which was fine, until people showed up on the internet who wanted to be customers.
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And a few businesses, eight to be exact, showed up who wanted to serve them.
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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.
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So the two companies had to physically touch their wires together somewhere.
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A line coming out of one building, a line coming out of the other, and physically meeting somewhere.
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That was the only way two customers could talk.
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It's kind of crazy to think about how they solved it.
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Just a couple of guys, one from each of these first companies, ran a wire from the street,
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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.
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Two companies at first, then another, and another.
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Within two months, eight offices were connected together, each company running a line from their building and into this room.
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Once more companies joined in that room filled with cables, they moved across the street to a parking garage.
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Actually, a tiny room off the garage of an office building on Boone Boulevard.
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One server, one plug.
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That was it.
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Nobody worked there.
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Nothing was computed there.
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It was a place for a handful of companies to touch their wires together.
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Yes, I said it again, and I'll probably say it a fourth time.
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This was the first public internet and the world's first data center,
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a room whose whole point was simply a meeting place for other buildings around it to touch.
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By the time the government shut off the wire, companies weren't allowed to use,
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around half the world's internet traffic was already passing through that little room in that garage in Tyson's Corner, Virginia.
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Visit Tyson's Corner today and it will appear as any town USA.
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There is nothing that would alert you to the fact that this place, this little room in a garage was the spark
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that created what is 30 minutes down the road the largest
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collection of data centers the world has ever seen data center
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alley data center after data center after data center picture super walmart all the aisles how much time
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it takes to walk from one end to the other in this 20 mile area
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there are 250 super walmart's worth of data centers 52 million
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square feet of floor space where servers let millions of companies
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touch their wires together the center of gravity had formed
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there was a sense a lot of it in being near
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the hub where every company around the world was exchanging information
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with each other the average person will not wait more than half a second google said
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so if you want us to show people your ads you must be located in this area
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when a person lands on a website with ads on it we'll send out a broadcast
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and a profile of who we think this person on the site is you have 100 milliseconds to analyze
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that profile and tell us how much you're willing to spend to have us put your ad in front of them.
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Received the broadcast in San Francisco in 35 milliseconds or eaten up waiting for it to arrive.
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Then another 35 milliseconds to send it back.
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70 % of your time was gone before you had even looked at who the person might be.
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Analyze the profile better than everyone else.
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That was how you made money.
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Your bids would be better.
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Every millisecond of time spent sending things back and forth mattered.
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A lot.
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So not only did dozens of companies put servers in the same area as Google,
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they paid extra money to put their servers in the exact same building as Google.
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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.
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Type in a website, hit enter, and Google fires off an auction billions of times per day.
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Google Search was a great product, better than the rest, but this auction machine is what made Google into the company it is today.
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For this, and many other interactions like it, once the internet really started to take off,
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it was not an option to be somewhere everyone else wasn't.
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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.
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Now, it is important to point out three things here.
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One, the population here is not rich because the data centers are here.
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It's a suburb of Washington, D .C.
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Number two, the data centers are not here because the population is rich.
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They're here because they needed to be here.
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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.
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Many of the cells, showers, are in one long basement room where 40 men shower at the same time with two guards present
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and there is exactly one stairwell that allows you to exit the room.
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It's a 19th century prison, probably a great one for the time.
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But as time has gone by, there are many things that are wrong with this prison, not just from the prisoner perspective,
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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.
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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
292
and the water level in our wells dropped 15 feet the thing falling just behind first on
293
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
297
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.
315
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.
321
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?
326
Announcing the formation of Stargate, the construction of colossal data centers.
327
NVIDIA announcing that it will invest $100 billion into OpenAI.
328
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,
335
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,
338
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?
340
Across the entire U .S., this is how much electricity can be generated this year.
341
Of that, there's a decent amount that won't be used.
342
Surplus.
343
By 2030, the U .S barely generates more.
344
Still a surplus, though.
345
By 2035, there's less electricity available than 2030, and the surplus disappears.
346
So where is this electricity going to come from?
347
People refer to the grid as though it's an interstate highway system, a connected web where each part connects to the whole.
348
It is not.
349
The United States of America, all 50 states right as they should be, but this is not how the electric system works,
350
tidy inside of each state.
351
This is.
352
This is the electric states of America.
353
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.
354
It might, or it might come from any of the other power plants inside the bounds of the electric state in
355
which a person lives.
356
A plant that is fired up at that moment and making electricity when you hit start.
357
Flowing out of any of the hundreds of plants in each zone, through transmission lines, into local lines,
358
into your house, just as movie night is about to start.
359
As electricity took off in the 1800s, power plants were small and local.
360
They connected their own lines to their own customers.
361
Power plants, though, started to be made bigger, and they were made more powerful.
362
It started making a lot of sense to have a few hundred big ones instead of thousands of smaller ones.
363
So they naturally started connecting one set of wires to another, small utilities and power plants combining to make a bigger one.
364
It was more reliable.
365
The electricity could be made cheaper, just like it wouldn't make sense to have one company that made gasoline in each town.
366
Instead, a few giant refineries make gasoline for the whole region.
367
Gasoline and diesel are exactly like this, actually.
368
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.
371
And this is where things get interesting because just like the 50 individual states of the U .S., each one its own little experiment,
372
the electric states of America are also experiments.
373
They do not all do things the same way.
374
How decisions to build more power plants are made, what kinds of plants to have,
375
all the way to what to put on our bills that we discuss around the kitchen table.
376
Most of the U .S population is in a region just like the one that hosts the world's most data centers.
377
No one company owns every part of the system.
378
One company owns the power plant, another the big transmission lines, another one owns the lines in your neighborhood and sends you your bill.
379
And yet another organization is responsible for getting all of those companies to cooperate
380
and to run hundreds of auctions that decide the price you pay for your electricity.
381
Those auctions work like this.
382
Auction number one.
383
Every hour, every plant joins an auction, saying the minimum amount of money they'll sell their power for.
384
Bids roll in.
385
The organization running the auction looks at all the electricity being asked for
386
and what their historical models say to expect over the next hour.
387
They sort the bids by amount.
388
The last bid that covers all the power they expect to need, that is the clearing price.
389
And that price becomes the price for every power plant that submitted a lower bid.
390
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,
391
your bid is accepted.
392
You get paid $10, I also get paid $10.
393
Auction two, same type of auction, but this is a single major auction that happens once every year, asking a simple question.
394
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?
395
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,
396
how much do we need?
397
How much do we think that will grow?
398
How many plants are going to retire?
399
How many are going to be built?
400
Add up the numbers and the price that comes in from the plant that gets the total amount over the forecast,
401
that's what every plant gets paid.
402
And that amount is split across everyone's bill.
403
It is an insurance payment, a just -in -case to make sure the lights stay on on the worst day.
404
If we mosey on down to the south, things get much easier.
405
Only two areas of the country live in this type of system, the southeast and a big swath of the west.
406
These areas are much simpler.
407
One company, like the Southern Company in Georgia, owns the plants, the wires, and sends you the bill, what is called vertically integrated.
408
Once per year, they publish a big forecast to determine how much electricity they'll need to keep their customers happy the following year.
409
Southern goes to the Georgia government and says, here's what it's going to cost to keep the lights on next year.
410
Please let us charge that.
411
A commission looks at it, says yes, no, or not that much, and whatever number they negotiate is what customers pay.
412
There's no hourly dogfight, no two -year reservation fee, one company, one hearing, one rate.
413
A little farther west in Texas, though, this region is unique.
414
In the entire country, it is the only region that works like this, as simple as can be.
415
And interestingly, note that the borders of this region are entirely within the state borders.
416
A very intentional decision because...
417
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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Từ vựng và ghi chú luyện nói cho bài học này
Bài luyện nói này dựa trên video “What They're Not Telling You About Data Centers”. Những từ được nhắc lại nhiều nhất trong bài: center, electricity, plant. Video này có 577 câu và 7149 từ để luyện shadowing. Phần lời nói dài 34:26. Người nói nói nhanh, khoảng 208 từ mỗi phút, nên sẽ có nhiều chỗ nối âm và nuốt âm. 85% số từ nằm trong 3.000 từ tiếng Anh thông dụng nhất; phần còn lại nên xem trước khi luyện.
Từ vựng quan trọng trong video
15 từ đáng học trong video, kèm phiên âm và nghĩa:
| Từ | Phiên âm | Nghĩa |
|---|---|---|
| wire danh từ | /ˈwaɪɚ/ | dây, dây thép |
| watt danh từ | /wɑt/ | watt, oát |
| auction danh từ | /ˈɔkʃən/ | bán đấu giá, đấu giá |
| server danh từ | /ˈsɝvɚ/ | trình chủ, máy chủ |
| microwave danh từ | /ˈmaɪkɹoʊˌweɪv/ | vi ba, vi sóng |
| enormous tính từ | /ɪˈnɔː.məs/ | khổng lồ |
| acre danh từ | /ˈeɪ.kɚ/ | mẫu Anh, mẫu tây |
| infrastructure danh từ | /ˈɪnfɹəˌstɹʌkt͡ʃə/ | cơ sở hạ tầng |
| protest danh từ | /ˈpɹoʊ.tɛst/ | (sự) phản đối, (sự) kháng nghị |
| chip danh từ | /t͡ʃɪp/ | phỉnh |
| garage danh từ | /ɡəˈɹɑʒ/ | nhà để xe hơi, nhà để xe |
| fluid danh từ | /ˈflu.ɪd/ | chất lưu |
| experiment danh từ | /ɪkˈspɛɹ.ə.mənt/ | thí nghiệm |
| poll danh từ | /poʊl/ | cuộc thăm dò ý kiến |
| default danh từ | /dɪˈfɔlt/ | mặc định |
Cụm động từ bạn sẽ nghe
| Từ | Nghĩa |
|---|---|
| go up động từ | lên |
| break down động từ | hỏng, hỏng hóc |
| go out động từ | ra, chết |
| run out động từ | hết |
| sit down động từ | ngồi xuống, ngồi |
Những câu đáng luyện lại
Các câu ngắn, trọn ý trong video mà bạn có thể dùng lại khi giao tiếp hằng ngày:
- 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?
Ngữ pháp trong video
Những cấu trúc người nói dùng nhiều nhất, kèm đúng cụm từ trong video:
| Cấu trúc | Trong video |
|---|---|
| Câu điều kiện if + mệnh đề, will/would + động từ — điều kiện và kết quả | if you don't mind, I'd like · If you've got an I'll do |
| Thì hiện tại hoàn thành have/has + quá khứ phân từ — việc đã xảy ra nhưng còn liên quan đến hiện tại | has taken · has ever seen · you've heard |
| Câu bị động be + quá khứ phân từ — nhấn vào việc xảy ra, không phải người làm | are measured · be claimed · was placed |
| Mệnh đề quan hệ who / which + mệnh đề — thêm thông tin về người hoặc vật | someone who wants · people who say · allowed, which was |
Phát âm cần chú ý
Người nói dùng 70 dạng rút gọn, ví dụ don't, they're, you're. Hãy nói theo dạng ngắn đúng như bạn nghe.
- Âm “sh” và “zh”: auction /ˈɔkʃən/, garage /ɡəˈɹɑʒ/, transmission /tɹænsˈmɪʃən/, dish /dɪʃ/, commissioner /kəˈmɪ.ʃə.nəɹ/
- Từ dài — đặt trọng âm cho đúng: electricity /ɪˌlɛkˈtɹɪsɪti/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, utility /juːˈtɪlɪti/, experiment /ɪkˈspɛɹ.ə.mənt/, differently /ˈdɪf.ə.ɹənt.li/
Những âm người Việt thường gặp khó:
- Cụm phụ âm cuối — đọc đủ từng âm, đừng nuốt âm cuối: protest /ˈpɹoʊ.tɛst/, experiment /ɪkˈspɛɹ.ə.mənt/, default /dɪˈfɔlt/, forecast /ˈfɔːkɑːst/, assault /əˈsɔlt/
- Âm /tʃ/, /dʒ/ và /ʒ/ — tiếng Việt không có, đừng đọc thành “ch” hay “gi”: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, chip /t͡ʃɪp/, garage /ɡəˈɹɑʒ/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, generate /ˈd͡ʒɛn.ə.ɹeɪt/
- Âm /æ/ — mở miệng rộng hơn âm “e”: gravity /ˈɡɹævɪti/, gasoline /ˈɡæs.ə.liːn/, gallon /ˈɡælən/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, transmission /tɹænsˈmɪʃən/
Cách luyện với video này
- Nghe hết video một lần, chưa cần nói, và ghi lại những từ bạn chưa biết.
- Bắt đầu ở tốc độ 0,75×, nói đuổi từng câu, rồi quay lại tốc độ bình thường khi đã quen.
- Ghi âm giọng mình rồi so với bản gốc, chú ý các từ như wire, watt, auction.
Phương Pháp Shadowing Là Gì?
Shadowing là kỹ thuật học ngôn ngữ có cơ sở khoa học, ban đầu được phát triển cho chương trình đào tạo phiên dịch viên chuyên nghiệp và được phổ biến rộng rãi bởi nhà đa ngôn ngữ học Dr. Alexander Arguelles. Nguyên lý cốt lõi đơn giản nhưng cực kỳ hiệu quả: bạn nghe tiếng Anh của người bản xứ và lặp lại to ngay lập tức — như một "cái bóng" (shadow) đuổi theo người nói với độ trễ chỉ 1–2 giây. Khác với luyện ngữ pháp hay học từ vựng bị động, Shadowing buộc não bộ và cơ miệng phải đồng thời xử lý và tái tạo ngôn ngữ thực tế. Các nghiên cứu khoa học xác nhận phương pháp này cải thiện đáng kể phát âm, ngữ điệu, nhịp điệu, nối âm, kỹ năng nghe và độ lưu loát khi nói — đặc biệt hiệu quả cho người luyện IELTS Speaking và muốn giao tiếp tiếng Anh tự nhiên như người bản ngữ.