Building fire in Tama: Was it an Amazon data centre? (July 30, 2018)

 

 

 

Building fire in Tama: Was it an Amazon data centre? (July 30, 2018)

 

 

//Summary - Level-C1//

A July 2018 fire at a construction site in Tama City severely damaged a building widely believed—based on industry sources—to be a new AWS data centre. The “Tama Technology Building,” developed by Mitsui Fudosan and built by Ando Hazama, was officially described as an administrative centre but effectively intended for data‑centre use. The blaze, which began in the basement during steel‑cutting work, caused multiple casualties and extensive damage. Mitsui Fudosan declined to identify the tenant, and AWS did not respond to inquiries. 

 

 

 


1)
On 27 July 2018, Nikkei Computer learned through its own reporting that the building under construction at the site of a fire in Tama City, Tokyo, is highly likely to be a data centre for Amazon Web Services (AWS), the cloud service provided by the US-based company Amazon. Several industry sources revealed this.

2)
The fire broke out at around 1.45 pm on 26 July at a building construction site in Karakida 1, Tama City, Tokyo. The building under construction is the ‘Tama Technology Building’ (tentative name), an office block. Its gross floor area is reported to be 17,666.89 square metres. 

Ando Hazama was contracted by Minami-Tama Special Purpose Company, a wholly owned subsidiary of Mitsui Fudosan, to carry out the construction work, and construction was proceeding, with completion scheduled for October 2018. According to documents from Mitsui Fudosan, the building’s intended use is an ‘administrative centre’.

3)
In response to an enquiry from Nikkei Computer, a spokesperson for Mitsui Fudosan stated: “We cannot disclose the identity of the tenant due to confidentiality obligations.” Regarding the building’s intended use, the spokesperson added: “We refer to it as an ‘administrative centre’; whilst there is a section comprising offices for the tenant, it is effectively intended for use as a data centre.”

4)
Amazon Web Services opened its Tokyo Region in 2011 as its first data centre in Japan, and established the Osaka Local Region in February 2018. We contacted Amazon Web Services Japan regarding the facts of the matter, but had not received a response as of 9.30 pm on 27 July.

 

 

 

 

 

 

Building fire in Tama: Was it an Amazon data centre? (July 30, 2018)
https://www.nikkei.com/article/DGXMZO33556550Q8A730C1000000/

 

 

The true nature of the data centres draining Japan! What is the reality behind power and water depletion and shocking tax avoidance? — Ms Toshie Ikeda
https://www.youtube.com/watch?v=w9k6VsaH4gM&t=857s


What happens to electricity costs and water supplies? A city councillor discusses the blind spots of the "massive data centre project" — Conversation between Ms Toshie Ikeda and Dr Toshiaki Yoshino
https://www.youtube.com/watch?v=sv-WyWwv_vE

 

 

 

 

Where Do Your Tax Dollars and Personal Data Go? The Reality of Massive Data Centres
https://www.youtube.com/watch?v=r8Ep1ob5cp8

 

 

 

"People suffering from cancer...": AOC criticises Musk and Thiel, alleging local pollution caused by AI data centres.

 

 

"People suffering from cancer...": AOC criticises Musk and Thiel, alleging that local pollution is caused by AI data centres.

 

//Summary - Level-C1//
AOC argues that AI data centres built by Silicon Valley billionaires are harming vulnerable communities through pollution, contaminated water and unsafe industrial facilities. She says residents near these sites face cancer risks, damaged homes and long‑term water degradation, comparing the situation to Flint. She criticises tech leaders like Musk and Thiel for imposing centres they would not accept in their own neighbourhoods. Other lawmakers note that towns are independently rejecting data centres due to environmental and cost concerns. Some propose alternative sites, such as former coal plants, while stressing that AI infrastructure is strategically important and must be developed responsibly.

 

 

1)
Silicon Valley billionaires are constructing and pushing and imposing these data centres all within one block—methane turbines, coal ash, wastewater facilities—and everyone in that area is getting poisoned. These data centres come in, they say it's not going to be a problem, and then you all saw we brought the well water right here. Ask Peter Thiel, ask Elon Musk, ask Mark Zuckerberg if they want one of these data centres in their own backyard. This conversation is not just about technology. It's about people's ability to live without getting cancer.

2)
As an alternative point of consideration regarding New York State's recent moratorium, the thought that if you don't want to build in your backyard, then maybe you shouldn't have access to compute—we could say the same thing about Silicon Valley. We could say the same thing about Silicon Valley billionaires who are constructing and pushing and imposing these data centres on communities that are overwhelmingly rural, disenfranchised, poor, and whose own elected officials are not being transparent about how the land use is happening in their own backyard.

3)
Ask Peter Thiel, ask Elon Musk, ask Mark Zuckerberg if they want one of these data centres in their own backyard. Ask any one of us here on this committee if anyone wants to live right next to one of these data centres. I've been going to—I visited Georgia; I was just in Memphis on Friday. There was an XAI graywater treatment plant on one street corner across the street from methane turbines, all within one block—methane turbines, coal ash, wastewater facilities—and everyone in that area is getting poisoned.

4)
This conversation is not just about technology. It's about people's ability to live without getting cancer. People's ability to have a home that doesn't get cracked in their foundations because this construction is going on that their city council is not informing them of, that their county commissioners are not being transparent about, and that people aren't voting on. And the idea that that's all just a foreign operation—if you actually talk to these people in these communities, they would disagree.

5)
In New York, it's not just the electricity bills; it's the water. We have one of the most precious and sacred water supplies in the United States. Once you compromise that, it's done. Ask people in Flint, ask people across the country—when their critical water supplies are compromised, it takes years, if not decades, to clean up again.

6)
People are asking for basic protections. They want to make sure their water won't be contaminated. These data centres come in, they say it's not going to be a problem, and then you all saw we brought the well water right here. We need protections in place for people. And when we talk about increased worker productivity, that's because millions of people stand to lose their jobs. Companies are talking about how many people you can lay off with this technology. What is the plan? It's not unreasonable for the working‑class people we are elected to respond to to ask questions and to deserve and feel entitled to a response from their elected officials. That's all. I yield back.

7)
Let me associate myself with the remarks you made. When I heard the gentleman from the other side talk about China, Beijing, foreign conspiracies—I assure you, the towns in my district: one of them decided not to approve a data centre, another banned data centres, and several have moratoriums. Neither China nor Russia is influencing them. They're looking at what's happening in their towns and making rational decisions because they are concerned about the local impact and rising rates. When we talk about safeguards and the types of measures my colleague from Florida is proposing, they come from the people themselves. Their concerns over rates, over the environment. This is not Beijing. I yield back.

8)
There are options for building data centres that don't require locating them near neighbourhoods. There are 17 coal‑fired power plants shut down in New York State; some have been repurposed, others are available for the construction of a data centre. Many of my Democratic colleagues and I are working on small modular nuclear as an option, so you can build these facilities behind the meter, where they don't impact the grid. The transmission lines remain intact and usable. You could put a data centre on a formerly coal‑fired plant site, power it without connecting to the grid, and add additional power generation to increase base‑load power for communities, lowering utility costs.

 

 

 

 

9)
We don't want to build them next to a subdivision or heavily populated area. We don't have to. There are many options, including brownfield sites. We need agreement on the importance of data centres in the context of the arms race with China for dominance in artificial intelligence. Whoever wins it will not be a superpower—they will be the superpower.

10)
We're forgetting the value proposition of AI and data centres. AI‑generated medical research could run millions of iterations on complex proteins, DNA, and pharmaceuticals in minutes, moving from treatment to cure. We lose sight of this because of partisanship and misinformation. We need to work together to build these facilities so we do not fall behind in the arms race with China. I yield back.

 

 

 

"People suffering from cancer...": AOC criticises Musk and Thiel, alleging local pollution caused by AI data centres.

https://www.youtube.com/watch?v=DdQX_eNA-s4

 

 

 

 


AOC challenges Musk, Zuckerberg, and Thiel on AI data centres.
https://www.youtube.com/watch?v=aV4Mk9iIgdY


The True Nature of Data Centres Plaguing Japan! The Reality of Power and Water Depletion and Shocking Tax Avoidance – Ms Toshie Ikeda
https://www.youtube.com/watch?v=w9k6VsaH4gM


What Happens to Electricity Costs and Water Supplies? A City Councillor Reveals the Blind Spots of the "Massive Data Centre Project" – Conversation between Ms Toshie Ikeda and Mr Toshiaki Yoshino
https://www.youtube.com/watch?v=sv-WyWwv_vE

 

Xi Jinping's Ominous Power (Kan Ito)
https://www.youtube.com/watch?v=DRmeeQg9uv0&t=3467s

 

 

 

 


Data Centres Popping Up Right Outside Homes! First-Ever Inside Look in the U.S. – Tracking Coexistence [Spotlight] Investigative Reporting Project
https://www.youtube.com/watch?v=JWuJMxq_Cjo

[Surge in Data Centres! Will We Run Out of Power?] Shifts in Electricity Demand Forecasts / "Data Centre Row" in Chiba / "INZAI" Goes Global / How Is TEPCO Responding? / International Trends [News Analysis]
https://www.youtube.com/watch?v=xuEIENqXwgE


Why Are Local Communities Resisting Data Centres?
https://www.youtube.com/watch?v=fkB8mt1DEVw

 

 

 

Construction Halted on 50% of AI Data Centres
https://www.youtube.com/watch?v=yJcdwX23Scs

 

Exposing The Dark Side of America's AI Data Centre Explosion | View From Above | Business Insider
https://www.youtube.com/watch?v=t-8TDOFqkQA


Erin Brockovich Takes On a New Challenge: AI Data Centres | Amanpour and Company
https://www.youtube.com/watch?v=dWNNgltZSlA

 

Residents complain of distress caused by round-the-clock noise from a Michigan data centre
https://www.youtube.com/watch?v=9wDr2dec474

 

Woman arrested after posting concerns about tap water on Facebook
https://www.youtube.com/watch?v=cEQy2TiyUDs

 

US lawmaker challenges data centre issues, holding up a jar of murky brown water; residents voice concerns over water quality.

 

 

US lawmaker challenges data centre issues, holding up a jar of murky brown water; residents voice concerns over water quality.

 

 

//Summary - Level-C1//
AI-driven data centre expansion in the US has triggered serious environmental and public‑health concerns, especially around water depletion and contamination. Representative Alexandria Ocasio‑Cortez has confronted EPA officials after residents near Meta’s Georgia facility reported brown tap water, falling pressure, and failing appliances. Local wells may have been affected by heavy construction, though Meta denies responsibility. The Trump administration has relaxed regulations and accelerated approvals, prompting Ocasio‑Cortez and Senator Sanders to propose a temporary halt on new projects. Similar problems have appeared in Texas and Arizona, intensifying calls for stronger oversight. 

 

 

 

 


1)
Against a backdrop of growing demand for AI, data centres are being built across the United States. Concerns have been raised by residents regarding the impact on water resources and the environment, prompting Congresswoman Alexandria Ocasio-Cortez to call on officials from the Trump administration—which had been relaxing regulations—to address these concerns.

2)
As the race to develop AI accelerates and data centres are built around the world, concerns are mounting regarding the impact on water resources, the environment and public health in neighbouring areas.

During a hearing of the House Oversight and Investigations Subcommittee on 21 May, US Democratic Representative Alexandria Ocasio-Cortez held up two bottles containing brown, murky water and grilled officials from the Environmental Protection Agency (EPA) on issues surrounding data centres.

3)
During her questioning of EPA Director Jessica Kramer, she raised issues concerning the Meta data centre built in Georgia.

Representative Ocasio-Cortez stated, ‘This is the current drinking water in Morgan County, Georgia. The water turned like this immediately after the Meta data centre was built,’ and argued, ‘The only difference between clean water and this water is the data centre.’

4)
She continued, “This is not just a problem for one well or one family,” and made the following appeal:

“This is what the water currently used for drinking looks like right next to that data centre. They live in a rural area, but now they have to have water delivered to their homes for cooking and bathing.”

5)
Representative Ocasio-Cortez asked, “Does the EPA have any plans to investigate the impact that data centres are having on local water resources?”

Administrator Kramer replied, “As soon as I return to the office, I intend to look into exactly what you have described. Our priority is to ensure that EPA water quality standards are upheld, regardless of the type of construction.”

6)
Representative Ocasio-Cortez visited Morgan County, which neighbours Newton County where Meta’s data centre is located, two weeks before this subcommittee hearing.

In a press release, she explained: “Ten per cent of the water used daily in this region is consumed by Meta’s data centre. This area is projected to face severe water shortages by 2030.”

The non-profit media organisation More Perfect Union reported in 2025 that, in the vicinity of this Georgia data centre, water pressure had dropped and brown sediment had begun to appear in the tap water.

7)
The New York Times also reported that a few months after construction of Meta’s data centre began in 2018, there were cases in which washing machines and toilets in neighbouring residents’ homes stopped working properly, and water stopped flowing from the taps. Residents claim that sediment may have entered the groundwater as a result of the data centre construction, affecting their wells.

Similar water issues have arisen in other regions, such as Texas and Arizona.

However, a Meta spokesperson told *The New York Times* that, “Although we investigated the wells on the properties of the Georgia residents raising these concerns, it is unlikely that the company’s data centre has affected the groundwater.”

As tech companies across the United States rush to build data centres, there have been instances of opposition from residents.

8)
However, the Trump administration did not impose strict regulations on tech companies.

In the summer of 2025, President Trump signed an executive order to expedite federal approval procedures for data centres.

Furthermore, in May 2026, EPA Administrator Zeldin proposed a rule relaxation that would allow ‘pre-construction activities’ for data centres to begin even before the agency grants final environmental approval.

These ‘pre-construction activities’ include the installation of concrete foundations, wiring and pipework. The EPA maintains that ‘such activities do not affect human health or the environment’.

9)
In response to these developments, Representative Ocasio-Cortez and independent Senator Bernie Sanders introduced a bill in March to temporarily suspend new construction until measures to address the environmental impact of data centres are implemented.

Representative Ocasio-Cortez’s questioning in the subcommittee is reminiscent of the film *Erin Brockovich*, which depicts a woman who took legal action against large corporations on behalf of residents suffering from pollution.

Erin Brockovich, the environmental activist portrayed as the protagonist in the film, has now published a map detailing major data centres currently operating or under construction across the United States and continues to raise awareness of the issue.

 

 

 

 

 

 

US lawmaker challenges data centre issues, holding up a jar of murky brown water; residents voice concerns over water quality.

https://www.huffingtonpost.jp/entry/story_jp_6a17b059e4b062ca52d906ce

 

 

 

 

"People suffering from cancer...": AOC criticises Musk and Thiel, alleging local pollution caused by AI data centres.
https://www.youtube.com/watch?v=DdQX_eNA-s4


AOC challenges Musk, Zuckerberg, and Thiel on AI data centres.
https://www.youtube.com/watch?v=aV4Mk9iIgdY

 

 

Comprehensive solutions and industry trends regarding the data centre power crisis in the era of generative AI.
https://note.com/oh_no/n/n0acc1c4b8a2b

 

Why people dislike data centres even though "AI is amazing."
https://www.technologyreview.jp/s/375896/data-centers-are-amazing-everyone-hates-them/

 

Why the AI ​​you use might be worsening environmental problems.
https://www.greenpeace.org/japan/news/ai-and-environmental-impact/


Do data centres really degrade the surrounding environment?
https://newspicks.com/news/16805518/body/

 

 

 

 

 

 

Why next to Tokyo Tower? Investigating the "hard-to-articulate unease" surrounding the expansion of AI data centres into the city centre.

 

 

 

[Technology & Economy] Why next to Tokyo Tower? Investigating the "hard-to-articulate unease" surrounding the expansion of AI data centres into the city centre.

 

 

 

//Summary - Level-C1//
The text argues that next‑generation AI requires ultra‑low latency, forcing data centres into city centres despite enormous costs. As AI begins interacting with the physical world—autonomous driving, AR, voice agents, and rapid machine‑to‑machine communication—distance becomes a critical bottleneck. This shift mirrors the extreme proximity race of high‑frequency trading. Yet urban residents bear noise, heat, infrastructure strain and rising energy costs, while foreign tech firms extract profits. The author proposes targeted taxation and mandatory community benefit agreements to ensure that AI’s expanding physical footprint enriches local communities rather than exploiting them.

 

 

//Summary//

An AI-dedicated data centre is rising right next to Tokyo Tower—but why in a location with the highest land prices in Japan?
The answer is that "next-generation AI requires physical proximity." But is this race truly new?

In fact, the world of high-frequency trading in finance has seen a level of madness for over a decade—the kind where mountains were blasted away to shave off a single millisecond. There is an industry that spent 45 billion yen to lay straight fibre-optic cables, only to find that insufficient and switch from light to microwaves. A "milder" version of that madness is now arriving in the heart of Tokyo.

This video explains the three key factors behind the rush to build data centres in the city centre, using real-world examples from high-frequency trading:
1. The decisive difference between text-based AI and next-generation AI
2. The value of "physical proximity" pushed to the absolute limit by the financial industry
3. The sense of unease regarding the structure that allows foreign firms to capitalise on Japan's low-cost infrastructure

 

 

 

 

 

 

 

1)
I am an engineer working in the field of facilities, such as plants, factories and data centres. As a cat who also enjoys learning about economics, history, share investment and technology as a hobby, I thought I’d share with you the practical experiences and knowledge I’ve gained through these pursuits.

2)
The term ‘cloud’ might well be the greatest fantasy ever conjured up by the IT industry. We are led to believe that the data we exchange daily via our smartphones, or the magical-sounding text generated by ChatGPT, is being processed in some fluffy, safe place high up in the sky. However, the reality of the cloud is nothing like a cloud at all. It is a ‘giant concrete fortress’ that devours vast amounts of electricity, emits intense heat, and keeps its cooling fans whirring with a deafening roar.

3)
And now, such a fortress is about to be built right in the heart of the city where we live. Currently, the Australian company ‘NEXTDC’ is constructing a massive AI-dedicated data centre on a prime site in Shiba Park, Minato Ward, right next to Tokyo Tower, a symbol of the city. Its output is 28 megawatts. This is equivalent to the electricity consumed by approximately 20 medium-sized office buildings.

4)
Anyone with even a modicum of knowledge of business or property should feel a strong sense of unease at this. It is common sense that data centres should be built in the suburbs or cooler regions, where land is cheap, vast plots can be secured, and the electricity grid has spare capacity. In Japan, the fact that places such as Inzai City in Chiba Prefecture are referred to as the ‘Ginza of data centres’ is proof of this.

5)
So why, then, would anyone go out of their way to place a data centre at the foot of Tokyo Tower, in an area with Japan’s highest land prices and highest population density? Surely it cannot be profitable. As someone who extensively researches data centre-related matters, I, too, found this deeply unsettling.

6)
However, behind this location strategy—which at first glance might seem ‘madness’—lie the ‘rules of next-generation AI’ that will dominate the coming era, and the ‘cruel truth of physical distance’ to which global capitalism has been driven.

In this article, whilst unravelling the mystery of the baffling construction next to Tokyo Tower, we delve into the frightening reality that the evolution of AI is forcing an update to our urban landscapes and living infrastructure.

7)
Chapter 1: With Text AI, ‘Even if the servers are in the US’, nobody is inconvenienced.

As a starting point for solving this mystery, I would first like to clarify ‘the AI we are currently using’. Generative AI systems such as ChatGPT and Claude, which the world is currently going wild for. When we type a question into our smartphones here in Japan, that data travels via undersea cables across the Pacific Ocean to massive data centres situated across the vast expanse of the United States. There, ultra-high-performance GPUs calculate the response, which then crosses the Pacific once more before the text appears on our screens in Japan.

8)
Just for this round-trip communication alone, no matter how fast the speed of light is, a physical ‘latency’ of approximately 100 milliseconds (0.1 seconds) one way—and 200 to 300 milliseconds round-trip—is inevitable. When you factor in processing time, it’s not uncommon to wait 1 to 2 seconds.

But think about it for a moment. Have you ever been using ChatGPT and got so angry that you thought, ‘It’s too slow to be of any use!’? Most people probably feel that ‘whilst I’m thinking of what to write, I have to wait a little, but it’s within acceptable limits’.

9)
The reason is extremely simple: ‘It is because the speed at which AI generates and returns text is overwhelmingly faster than the speed at which humans recognise and read text on a screen.’ The moment the AI begins to clatter out text, we try to follow it with our eyes and comprehend it in our minds. Thanks to this ‘bottleneck’ of human cognitive speed, the one-second delay occurring in the background is neatly masked.

10)
In other words, it is only in the current use of AI—where ‘text is entered on a screen and read by a human’—that it makes no difference whatsoever if the server is located on the other side of the globe. The model of placing servers in the vast, low-cost countryside of the United States to provide services worldwide was, in fact, highly rational. However, this peaceful era is soon to end.

 

 

 


11)
Chapter 2: ‘A One-Second Delay Can Be Fatal’—The Arrival of Next-Generation AI

Why must we go to the lengths of paying exorbitant land costs to locate a data centre right in the heart of Tokyo? The primary reason is that ‘the next generation of AI will no longer be a tool for typing and reading text’.

Next-generation AI will operate in real time alongside the real world, directly engaging with our five senses. The moment we enter this realm, the ‘200-millisecond delay’ incurred when communicating with the US will become a fatal flaw. In what specific scenarios would such latency lead to catastrophic failure?

12)
Autonomous driving and robotics: When an autonomous vehicle is travelling at 60 km/h, a delay of just 0.1 seconds results in a deviation of approximately 1.7 metres. If, at the moment a child darts out, the camera feed is sent to a server in the US to decide whether to ‘apply the brakes’, the vehicle will undoubtedly hit the child. In life-critical fields, only delays of ‘10 milliseconds or less’ are permitted.

13)
AR glasses (smart glasses) overlay information onto the user’s field of vision. The moment you turn right, the AI-generated information must slide to the right, in sync with the real-world scenery. If a time lag occurs between the visual information and the AI’s processing, the human vestibular system goes into panic mode, causing severe ‘VR sickness’.

14)
Natural conversation with voice agents: In human conversation, if the other person’s response is delayed by more than ‘200 milliseconds’, people feel a sense of unease, wondering, ‘Has the connection dropped? Are they listening?’ If a round trip to the US takes 300 milliseconds, a smooth conversation is absolutely impossible.

15)
Endless ‘behind-the-scenes’ meetings between AIs: This has the greatest impact. For example, if you give an instruction such as ‘Use this proposal to analyse the competition and create presentation materials’, behind the scenes, the AI responsible for drafting the outline and the design AI will begin a series of back-and-forth discussions at breakneck speed, asking ‘What do you think of this?’ or ‘Could you fix this part?’. If this communication has to travel across the Pacific and back, just the 50 exchanges would result in a 5-second delay due to the transmission alone. In the coming era, the ‘time spent by AIs conversing amongst themselves behind the scenes’ will become overwhelmingly longer. Unless those conversations can be conducted entirely within Japan—and indeed, within the same city—the system will be useless.

16)
Furthermore, there is the legal barrier of ‘data sovereignty’. Regulations are increasingly restricting the cross-border transmission of highly confidential data—such as data from the financial and healthcare sectors—to overseas servers. All these factors lead to the conclusion that ‘the AI’s brain must be physically located right next to the user’. That is precisely why they are targeting the very heart of Tokyo.

17)
Chapter 3: Blasting Mountains and Casting Aside Light: The ‘Madness’ of the Financial Industry

‘The closer you are physically, the faster it is. That’s why, even if it costs more, we place it close to the user.’ Put into words, this seems like a matter of course, but in fact, there is an industry that has been pushing this ‘battle against physical distance’ to its absolute limits for well over a decade—long before the AI boom began.

This is the world of ‘high-frequency trading (HFT)’ in the financial industry.

18)
They buy and sell shares millions of times a day at a speed of one ten-thousandth of a second—a speed imperceptible to the human eye—skimming off the tiniest of spreads. If an order can be delivered just ‘one millisecond’ faster than a rival’s, it results in a difference in annual profits amounting to several billion yen. To ‘buy that one millisecond with money’, they have made investments that defy all reason.

19)
Level 1: Placing servers next to the exchange. First, they positioned their own servers ‘right next to’ the stock exchange’s main server. Astonishingly, in this world, a major row can erupt simply because ‘our cable is 30 centimetres longer than our rival’s (and therefore slower)’.

 

 

 

 


20)
Level 2: Blasting through mountains with dynamite. Next comes the speed of communication between cities. For communications between Chicago and New York, standard fibre-optic cables are slow because they meander along the roads. Consequently, one company dynamited a tunnel through the Appalachian Mountains—which stood in its way—to lay a ‘dedicated fibre-optic cable in a perfectly straight line following the curvature of the Earth’. The total construction cost was approximately 45 billion yen. The time saved was a mere ‘3 milliseconds’ for a round trip. It may seem madness to spend 45 billion yen for a mere 3 milliseconds, but the returns were so substantial that the project was a resounding success.

21)
Level 3: Discarding fibre-optic cables because they are ‘slow ’. The ultimate example was the decision to discard even straight fibre-optic cables because they were ‘slow’. As light refracts whilst travelling through glass, it is approximately 30 per cent slower than if it were travelling in a straight line through air. Consequently, they concluded that ‘it would be faster to transmit signals directly through the air via radio waves’. They began constructing a massive, straight line of microwave communication towers between Chicago and New York.

When performing the same task, the physically closer location will always win out. When humanity pours boundless capital into this law of physics, it reaches a level where mountains are blown up, and even the refraction of light is abhorred.

22)
Chapter 4: The Madness of Finance Has Come to Tokyo in the Form of ‘AI’

Once upon a time, this ‘madness of shaving off a millisecond’ was confined to the closed world of Wall Street. It had no impact whatsoever on us watching YouTube at home. However, this ‘extreme competition over physical distance’ has now descended into the eneral social infrastructure, disguised as AI. This is the very crux of what is happening right now.

23)
A massive data centre is under construction right next to Tokyo Tower. Why is it located in such a prime spot that land prices have skyrocketed? You’ve probably already guessed. It’s because ‘placing servers at the heart of Japan’s most densely populated area—right in front of users’ eyes—minimises physical latency’.

24)
Although they haven’t actually blown up a mountain, the concept is the same as that of the financial industry. What’s more, it is a ‘fortress specialised in AI inference’ that has even introduced state-of-the-art systems to pump coolant directly onto the semiconductors to dissipate the intense heat generated by AI. This is not just the story of a single company. Tokyo is currently buzzing with one of the world’s largest construction booms for data centres, with plans for small and medium-sized AI data centres in the city centre emerging one after another. One railway company, for example, has even begun a pilot project to house a data centre beneath an elevated railway line.

The ‘cloud’—which until now had remained out of sight—is taking the form of concrete structures and is physically moving in next door to our homes.

25)
Chapter 5: Exploited Infrastructure and a ‘Difficult-to-Put-into-Words Sense of Unease’

AI infrastructure is coming to our cities, and communication speeds are set to increase. So what’s the problem? In fact, alongside the rush to build data centres in city centres, serious friction is beginning to arise with residents. ‘What about the noise from the cooling fans?’ ‘Is the massive amount of electromagnetic radiation safe?’ ‘Will the local infrastructure be able to cope with the massive consumption of electricity and water?’ ‘Won’t these huge, windowless buildings spoil the landscape?’ ‘Isn’t this a waste of prime land, given that it doesn’t even create jobs?’ These are all legitimate concerns.

26)
And what I feel about this trend is a certain ‘indescribable sense of unease’. Logically, it shouldn’t be wrong, yet deep down I cannot bring myself to accept it.

The fundamental premise is that, from the perspective of foreign mega-tech companies, Japan is currently one of the ‘most lucrative countries in the world’. Partly due to the weak yen, land prices, construction costs, water, electricity and the salaries of highly skilled engineers are unbelievably cheap when viewed in dollar terms. Moreover, major power cuts are rare, public safety is excellent, and water resources are abundant. You’d be hard-pressed to find such high-quality infrastructure available at such a bargain price anywhere else in the world.

 

 

 

 


27)
Foreign-owned companies, having pooled capital from around the world, set their sights on Japan’s cheap, high-quality infrastructure and build massive fortresses in prime city-centre locations. They draw vast amounts of energy from Japan’s power grid, use Japanese water for cooling, and siphon off enormous profits back to their home countries. Meanwhile, the ‘hidden costs’—such as noise pollution, concerns about electromagnetic waves, the deterioration of the landscape, and the risk of soaring electricity bills due to supply shortages—are all borne by the residents who just happen to live there.

28)
Of course, they have purchased the land legally, pay the standard rates and pay their taxes. I am not advocating xenophobia along the lines of ‘foreign capital, get out’. From a business perspective, it makes perfect sense.

And yet, I am left with a sense of unease. The ‘cheap and stable infrastructure’ that our forebears painstakingly built up, and which we have maintained through our taxes and utility bills. It is the massive capital from outside that reaps the sweetest rewards and amasses immense wealth, whilst the noise, heat and strain on the infrastructure left behind are burdens that the people living in those towns must bear.

29)
This sense of unease at the fact that ‘whilst no rules are being broken, we are being structurally exploited’—this is the true nature of the ‘uneasiness’ I feel. In the US state of Virginia, which is leading the way, electricity bills for ordinary households are already rising due to the enormous power consumption of data centres. I believe Japan will undoubtedly follow the same path.

30)
Chapter 6: Solutions to Clear Up This ‘Uneasy Feeling’

So, are we simply powerless to do anything but stand by and watch this ‘infrastructure exploitation’ unfold? Certainly not. Having researched the matter, I would like to present two ‘personal solutions’ I have developed to rectify this imbalance.

31)
1. ‘Returning Profits to the Local Community’ through a Dedicated Tax System: The first approach involves the government changing the rules. For example, just as there is an ‘accommodation tax’ for hotels, a dedicated tax—such as a ‘data centre tax (special local tax)’—could be imposed on data centres that consume a certain amount of electricity or more. The revenue from this tax would then be directly allocated to ‘subsidising electricity bills for residents’ and to the development of local infrastructure. By reviewing the electricity tariff structure that currently favours large corporations, we can require businesses that place a burden on the local area to bear a commensurate cost, and return the savings to residents. This would create a convincing structure where ‘the more profit they make, the lower our living costs become’.

32)
2. Making ‘Community Benefits Agreements (CBAs)’ mandatory: The second approach involves requiring foreign-owned companies to enter into a ‘give-and-take’ agreement with the local community before purchasing land and constructing buildings. There is a concept known as the ‘Community Benefits Agreement’ (CBA), which has been introduced in some parts of the United States. In exchange for authorising the construction of a data centre, it imposes obligations to contribute to the local community, such as ‘providing the latest IT equipment free of charge to local primary schools and offering educational support’ or ‘converting part of the facility into green spaces or cafés open to the public’. The aim is to redesign what would otherwise be merely a ‘nuisance facility’ into one that brings tangible benefits to the local community.

33)
It is not realistic to indiscriminately drive out foreign-owned data centres as if they were ‘Black Ships’. What we should aim for is to take the initiative in crafting shrewd rules, stating: ‘If you wish to use Japan’s excellent infrastructure, you must pay this fee (in the form of benefits to the local community).’

34)
Epilogue: The Era of ‘AI as Our Neighbour’

A massive fortress rising next to Tokyo Tower. Current text-based AI could operate just fine from the United States. However, for next-generation AI—such as autonomous driving and communication between AI systems—physical proximity is essential. The ‘madness of low latency’ demanded by the financial sector will become the new standard.

 

 

 

 

35)
The ‘cloud’ is no longer up in the sky. Emitting immense heat and noise, it is moving in next door to your home. Whilst we are set to reap the overwhelming benefits of AI, we are also being challenged to consider how we will interact with our ‘new neighbour’ and establish the rules. The time has come to face up to this structural unease head-on, without resorting to the simplistic stance of ‘opposing foreign investment’, and to begin a robust debate.

36)
Next time you’re walking through town and spot a sterile, windowless building, I’d like you to use your imagination for just a moment. Imagine that, on the other side of those thick concrete walls, a ‘0.001-second race’ is unfolding with a frenzy intense enough to blow up a mountain. And imagine that, rather than being exploited, we can harness that energy to enrich our cities.

 

 

 

 

 

 

 

[Technology & Economy] Why next to Tokyo Tower? Investigating the "hard-to-articulate unease" surrounding the expansion of AI data centres into the city centre.

https://note.com/keisoumainte/n/ne1d0f5f4ecd8

 

 

 

 

 

Why is a massive foreign-owned data centre being built right next to Tokyo Tower? We discuss the reasons behind this trend of data centres moving into urban areas and the challenges involved.
https://www.youtube.com/watch?v=szb5nT0tTjI

 

 

 

Terrifying! AI Data Centres and their exact locations
https://www.youtube.com/watch?v=vWIAdEYDsMo

 

 

 

 

 

 

"You can't keep hiding it..."AG Moody grills Fauci over misleading the public regarding mask-wearing during the pandemic

 

 

 

"You can't keep hiding it..."AG Moody grills Fauci over misleading the public regarding mask-wearing during the pandemic

 

 

//Summary - Level-B2//

The text criticises Dr Fauci’s COVID‑19 guidance, saying his early advice on masks and distancing was based on shortages or assumptions rather than clear scientific evidence. It argues that his diary contradicts his public claims that he did not recommend lockdowns, showing that he influenced major decisions such as the closure of schools and businesses. The speaker says these actions damaged public trust, especially when Americans faced serious social and economic consequences. They also question Fauci about a past pardon and funding related to virus research, suggesting the public deserves clearer answers.

 

 

 

 

 

 

 

1)
You told the American people, “Right now in the United States, people should not be walking around with a mask.” Later, when asked to explain your original recommendation, you emphasised a very different consideration: “Back then, the critical issue was to save the masks for the people who really needed them because it was felt there was a shortage of masks.” The critical issue driving your initial recommendation was scarcity and logistics, not medical evidence.

2)
By 2022, the consequences of prolonged COVID lockdowns on children were clear, from delayed development to social isolation. You were asked in July 2022 whether you would recommend locking down schools again, and you said, “First of all, I didn’t recommend locking anything down.” But your diary tells a very different story.

3)
Thank you, Mr Chairman. I am the most junior member of the Senate. I came here last year, after serving as attorney general in Florida, where I fought against lockdowns, school closures, church closures—everything—and embraced sanity and science. We fought back and were ridiculed for it. We empanelled a grand jury of people from all walks of life and political persuasions. That is how I came here: fighting for a free state among states that had locked their own people down. Florida is now called the free state, and our responsibility is to ensure that government remembers the people are our bosses. Government reports to them and is accountable to them. It should not operate for its own sake but for the American people.

4)
Anytime we get close to reporting back to our bosses on what the government has done, how it has been abused, or how individuals employed by the government have acted in their own self‑interest, the tactic has been to not show up. Today, the tactic seems different: Democrats showing up and trying to spin why we shouldn’t even be having this hearing. They say the hearing does damage, deters others from public service, or is designed to entrap you. Some flatter you, thank you repeatedly, or claim we are demeaning first responders. All their time was spent arguing that we should not be reporting back to our bosses.

5)
I want to talk about trust—the trust the American people place in public health institutions, and what happened to that trust during COVID. In a public health emergency, people are asked to make extraordinary sacrifices in response to government advice. For that system to work, the public must trust the people giving instructions. That trust depends on candour. When evidence is uncertain, officials must say so. When recommendations are based on assumptions rather than hard data, they must say so. When they get something wrong, they must own it. When trust is lost, consequences extend far beyond a single pandemic. Next time officials genuinely need Americans to listen, millions may ignore them.

6)
You were undeniably the face of the federal government’s COVID response. You wrote in your diary, “It’s not hyperbole to say I’ve become the most famous and talked about person in the country.” So let’s understand how we got here.

7)
On March 8, 2020, during a 60 Minutes segment, you told Americans not to wear masks. When pressed, you doubled down: “There’s no reason to be walking around with a mask.” You said masks might make people feel better or block droplets, but they do not provide the protection people think they do and often cause unintended consequences, like touching the face. Weeks later, the CDC recommended masks. When asked to explain your earlier statement, you said the critical issue was saving masks for those who needed them because of shortages. So when you told Americans there was no reason to wear a mask, was your objective to give an honest assessment of the medical evidence or to discourage consumption of a scarce supply?

8)
Next, the six‑foot distancing rule. In April 2020, you urged Americans to follow “very simple guidelines” of physical separation—six feet. Yet when Congress asked in 2024 what science supported that rule, you admitted you were not aware of any studies. You said the rule “sort of just appeared” and was an empiric decision not based on data. That rule had real consequences: schools, businesses, and churches stayed closed. Americans were kept apart during the most difficult moments of their lives.

9)
By 2022, the consequences of lockdowns were clear. You said publicly you never recommended locking anything down. But your diary says otherwise. You wrote: “I spoke with Bill de Blasio, the mayor of NYC, and convinced him to close the NYC schools based on what I was saying publicly.” You wrote that he had already decided based on your TV appearances. You told him to close bars and restaurants, and he said he would do so based on your recommendation. You even wrote that you told the president, “We should shut the whole country down.”

 

 

 

 

 

 

10)
In Florida, we pleaded for advice based on scientific evidence, yet received conflicting statements from you that did not align with the data. Our grand jury concluded that lockdown, mask, and social‑distancing advice from federal agencies was not based on the best available scientific data and often departed significantly from research.

11)
During that time, you called our governor “a total jerk” and “a complete disgrace” for blocking local mask mandates. You wrote that you feared our democracy was in dire danger because we questioned the government and fought for scientifically based recommendations.

12)
Calling for honesty, transparency, and accountability is what democracy is. What you did was the opposite.

Before concluding, I want to show the pardon you have heard so much about. The only other person I believe received a similar pardon had the last name Biden. This pardon is dated January 1, 2014. Did you talk to President Biden and ask for this pardon? Who did you talk to in the White House? Did you ask that it be dated back to 2014? Did you do that to obtain immunity going back to 2014? Why that date? Did it relate to the year NIH began funding EcoHealth Alliance’s “Understanding the Risk of Bat Coronavirus Emergence” grant—the same grant that funded work on bat coronaviruses at the Wuhan Institute of Virology?

13)
Millions of Americans are questioning what happened during COVID—why they were given misleading information, conflicting statements, and advice that changed from day to day. Over a million Americans died. They deserve answers. Could the mission here be to find out who may be responsible and why?

After everything we have discussed, can you tell the American people that you bear no responsibility for the collapse in trust in their government?

 

 

 

 

 

 

 

"You can't keep hiding it..."AG Moody grills Fauci over misleading the public regarding mask-wearing during the pandemic
https://www.youtube.com/watch?v=J9jbe5VxX_o

 


Ashley Moody, Rick Scott question silent Anthony Fauci about COVID direction
https://floridapolitics.com/archives/810243-ashley-moody-rick-scott-question-silent-anthony-fauci-about-covid-direction/

 

Fauci's private diaries reveal what he "never told the American people" about the vaccines.
https://www.youtube.com/watch?v=WAnJyuXkQn0&t=11s

 

"Vaccines are more dangerous than severe COVID-19!": Testimony on cancer risk shocks the Senate
https://www.youtube.com/watch?v=s0ttKmpijtU&t=17s

 

Did Fauci silence politicians to protect the Wuhan lab? Massive funding, gain-of-function research, and scientists protecting their own interests
https://www.youtube.com/watch?v=mBLAm_Ylyyo&t=4s

 

Fauci’s emails revealed! The man who kept lying to the world
https://www.youtube.com/watch?v=6NgJV6OD1fo&t=3s

 

Explaining the massive lie—what is the ultimate goal?
https://www.youtube.com/watch?v=fbCQ6R7qB7A&t=2282s

 

Terrifying! AI data centres and their specific locations
https://www.youtube.com/watch?v=vWIAdEYDsMo

 

Shocking truth! Insights from the latest research data
https://www.youtube.com/watch?v=TgTE6srMS_o

 

Why? A massive foreign-owned data centre is being built next to Tokyo Tower. We discuss the reasons behind the expansion of urban data centres and the challenges involved.
https://www.youtube.com/watch?v=szb5nT0tTjI

 

 

 

 

 

 

 

The African Grey parrot who suddenly came up with the concept of "zero" one day (from Alex & Me)

 

 

The African Grey parrot who suddenly came up with the concept of "zero" one day (from Alex & Me)

 

 

//Summary - Level-B2//
Alex, a trained African grey parrot, showed surprising intelligence beyond his 100‑word vocabulary. He understood numbers, solved colour‑and‑quantity tests, and even seemed to invent the idea of zero by answering ‘none’ when no group matched the number asked. Although he sometimes refused to cooperate out of boredom, Alex often surprised researchers with creative, meaningful answers. His behaviour suggests that he independently grasped an abstract concept that even ancient mathematicians lacked.

 

 

 


1)
Alex is known as the world’s most famous ‘genius’ African grey parrot. The main reason he came to be known by this name is that, although his vocabulary was limited, he was able to communicate effectively with humans using human language that he had learnt through training.
However, this book, *Alex and Me*, also details numerous ‘intelligent’ behaviours that Alex exhibited without any formal training. These include coining new words, teaching younger birds, and even outwitting humans… From among these anecdotes, I would like to share an instance where Alex, who had been trained in numerical concepts, suddenly conceived the idea of ‘zero’.

2)
For more details on the book, please see our previous article via the link below.

*Alex and I*: A moving non-fiction account by a researcher and Alex, the world’s smartest African grey parrot, who communicated on an equal footing with humans using a vocabulary of 100 words.
https://www.hayakawabooks.com/n/n4bc9fecf250b

3)
We began a new training programme on numbers in the autumn of 2003, but by that point Alex already knew the numbers from ‘1’ to ‘6’. However, the order in which he had learnt them was not numerical. The first ones he learnt were, for example, the ‘3’ in ‘three-corner wood’—referring to a triangular piece of timber—and the ‘4’ in ‘four-corner paper’—referring to a square piece of paper. Next came ‘2’, followed by ‘5’ and ‘6’, and finally ‘1’.

4)
In this training session, I decided to check whether Alex really understood the meaning of numbers. If you show a human child under the age of three four marbles and ask, ‘How many?’, in most cases they will correctly answer ‘four’. However, if you present the same child with a box full of marbles and ask, ‘Take out four marbles’, the result is almost always that they hand you a random handful. As with language, just because a child can ‘say’ something does not necessarily mean they ‘understand’ it.

5)
The test carried out to ascertain whether Alex understood numbers was fairly straightforward. For example, I would show Alex a tray containing two green keys, four blue keys and six rose (red) keys, and ask, ‘Which colour is there four of?’ The correct answer in this case is, of course, ‘blue’. I spread the test over several days to keep him from getting bored, and Alex gave the correct answer on his eighth attempt. To be honest, I was impressed. What an intelligent bird!
(Editor’s note: Alex refers to ‘red’ as ‘rose’ because he was trained to do so for ease of pronunciation.)


6)
However, over the following two weeks, Alex began to refuse to take this test. When asked a question, he would stare at the ceiling, name objects or colour labels that weren’t on the tray, or endlessly repeat the wrong label. Otherwise, he would ignore me and preen his feathers. On one occasion, he kept naming labels he knew, other than the correct one. He would also demand water or food and eventually even say, ‘I want to go home,’ asking to be put back in his cage.

However, Alex suddenly ended his strike. I don’t know why, but he gave a brilliant answer that more than made up for the previous deadlock. That day, I had placed two, three, and then six blocks of different colours on the tray. I asked, ‘What colour are the three?’ Alex replied, very meaningfully, ‘Five.’ It was a response that was clearly different from his previous indifference.

7)
I asked again, ‘What colour are the three?’ Alex replied, ‘Five’ once more.
‘That’s not right, Alex. What colour are the three?” By this point, I was quite baffled and feeling a bit irritated: ‘Why are you saying “five”? There aren’t five of anything on the tray, are there?’

He repeated ‘five’ again in a firm tone. I decided to be a bit mischievous in return and changed the question: ‘All right then, Mr Genius African Grey. What colour are the five?’

8)
Without a moment’s hesitation, Alex replied, ‘None.’

I was astonished. Did Alex really understand and say ‘None’? A few years earlier, I’d trained him to distinguish between ‘same’ and ‘different’. We’d shown him two objects of various colours, shapes, materials,s and sizes, and asked questions such as ‘Which colour is bigger? ' to teach him to reply ‘Nan’ when they were the same size. It seemed as though that previous learning had transferred to this task, and he was using ‘Nan’ to mean ‘there is no set of five’. If that were truly the case, it would mean Alex was using ‘Nan’ to mean ‘zero’.

 

 

 

 


9)
To confirm that this response was not a coincidence, we conducted six further trials in the same manner: showing him a tray with no single-item sets and asking, ‘Which colour is one?’, and showing him a tray with no two-item sets and asking, ‘Which colour is two?’ Alex gave the correct answer on five of these occasions. He only got it wrong when asked about an object of a colour not present on the tray. It seems he had, to some extent, grasped the concept of zero.

10)
Even so, what was going on in Alex’s mind when he first answered ‘five’? He had refused to answer for a while, so he was certainly bored and fed up with being tested. It was almost as if, during those two weeks on strike, he’d been thinking, ‘This is boring… How can I make this more interesting…? I’ve got it! I’ll say something that isn’t on the tray!’


11)
As can be seen from schoolchildren and many adults alike, ‘boredom’ is a very powerful emotion. And as this example shows, it is by no means an emotion unique to humans. The fact that Alex replied ‘Nan’ in this scene is noteworthy for several reasons. Firstly, ‘zero’ is a highly abstract concept. It was only in the 1600s—relatively recently—that a word denoting ‘zero’ was introduced into Western civilisation. Secondly, we had not trained Alex to answer ‘Nan’ in this situation. He came up with it himself.

12)
Just before I moved from Northwestern University to Tucson, I had the opportunity to speak with Professor Dan Dennett of Tufts University's Department of Philosophy. At the time, he asked me, ‘What happens if you ask Alex, “What’s green?”, when there’s nothing green around? Can Alex say “Nothing”?’ At the time, I was a little hesitant to investigate this, but I decided to try it just once. I showed Alex a tray filled with colourful toys—all except purple ones—and asked, ‘What’s the purple one?’ He looked at me intently and said, ‘I want a grape.’ Indeed, grapes are purple.

13)
I thought to myself, ‘It seems as though Alex is trying to outwit me by not answering as I expect him to. If he really is trying to outwit me, that would be quite clever, but it’s difficult to determine whether that’s actually the case or if he’s mistaken. There’s no way to verify it, so I gave up on investigating it properly. However, ultimately, it appears that Alex was able to understand and use the meaning of ‘nan’ entirely on his own.

14)
Judging by this example, it seems that Alex, with his tiny brain, devised the concept of ‘zero’—something that not even Euclid of Alexandria, the great ancient Greek mathematician, had conceived of. This is just as astonishing—if not more so—as when he pronounced ‘n·u·t’ one letter at a time during his phoneme training. Just how much potential does Alex harbour?

 

 

 

 

 

 

 

The African Grey parrot who suddenly came up with the concept of "zero" one day (from Alex & Me)

https://www.hayakawabooks.com/n/n35a5f2c9e26a

 

 

 

 

 


Add info No. 1)

The ultimate intelligence of the African Grey: The amazing story of Alex, a genius bird who could even handle math
https://www.youtube.com/watch?v=S4s7sJk5vVo


A bird with the intelligence of a five-year-old!? Alex the African Grey counts numbers and puts his feelings into words
https://www.youtube.com/watch?v=LN8cGN7RwZg


Understanding even abstract concepts—what makes them so smart? [Ecology of the African Grey]
https://www.youtube.com/watch?v=ii85my-k33E


OMG Faith
https://www.youtube.com/watch?v=_2pd8CRfEL8

 

[Hilarious] Is there a person inside? A collection of super-funny talking clips! https://www.youtube.com/watch?v=q5DzQMLN9ro&t=42s

 


Add info No. 2)

[Cockatiel] Can't stop singing!! A parakeet with a huge repertoire of songs
https://www.youtube.com/watch?v=9EsyXADl3fI&t=10s


#556 Miro singing the "PythagoraSwitch" theme song
https://www.youtube.com/watch?v=66QXE6c1x1M

 

Add info No. 3)

30-minute compilation of hilarious bird videos
https://www.youtube.com/watch?v=1rcTutH9U9c

 

10 FUNNIEST Animal Auditions EVER On Got Talent!
https://www.youtube.com/watch?v=hyy4gTVHJcE&t=3s

 

Cats getting along with other animals
https://www.youtube.com/watch?v=WDDS4TivbuE&t=221s


Sheep knocks on the door to play with its cat friend | A close duo
https://www.youtube.com/watch?v=IF0sAI5yvmE&t=26s

 

 

 

 

 

More Clothing Brands Offering Repair Services

 

 

More Clothing Brands Offering Repair Services

 

 

//Summary - Level-B2//

Clothing brands are increasingly offering repair services and sewing workshops to help shoppers save money and reduce waste. Patagonia has long repaired products, and Levi’s now teaches students basic sewing skills. Uniqlo offers repairs and embroidery at many of its stores. The fashion industry faces criticism for pollution, with huge amounts of clothing burned or dumped every second. Young consumers, who care about budgets and the environment, welcome repair options. Analysts say these programs meet current customer needs, but experts argue their environmental impact is limited because the main problem is overproduction, not the lack of repairs.

 

 

 

catch on: to become fashionable or popular
Volvo introduced the three-point seatbelt in 1959, and it very quickly caught on among other carmakers.

hem: to turn under and sew the edge of a piece of cloth
I need to get these jeans hemmed.

embroidery: the act or hobby of decorating cloth by sewing patterns onto it; cloth decorated in such a way
I taught myself embroidery by watching YouTube videos.

 

 

 

 


More and more clothing companies around the world are offering in-store repairs and sewing workshops, as they try to appeal to consumers who want to save money — and the planet.

Companies like Patagonia have offered product repairs for decades, but the concept is catching on.

Jeans giant Levi Strauss & Co., for example, has created a course for high school students, where they can learn to sew on a button, hem edges and fix tears.

"We think it's important to empower the people who buy our clothes with the skill sets to maintain them, to get them to that second life," said Paul Dillinger from Levi.

Japanese chain Uniqlo offers different aftercare services, including repairs and embroidery. These services are available in 75 of the Japanese company's roughly 2,500 stores worldwide.

But why are companies doing this now? And will it make a difference?

For years, the fashion industry has come under pressure to reduce its contributions to environmental pollution and climate change.

The United Nations Environment Program estimates that a truckload of clothing waste is dumped or burned every second.

Many consumers are aware of these problems — especially young shoppers, who may be both budget- and environmentally-conscious.

For companies that make new clothes, repair programs address "some deeper consumer needs and consumer behaviors at the moment," GlobalData retail analyst Neil Saunders said.

However, Kate Fletcher, a professor of design and fashion at Manchester Metropolitan University in the UK, said that while she thinks repair programs by popular retailers are well-meaning, she doubts they will have much environmental impact.

"The fashion sector's primary source of impact is due to the overproduction of pieces and growing volumes of garments created," Fletcher said. "Repairing a garment in store happens in addition to these growing production volumes, not instead of them."

 

 

 

 

Discussion

1. What are your thoughts on clothing repair programs becoming more common?
2. Do you own any clothing from brands that offer free repairs?
3. Do you know how to do basic repairs on clothing? Would you like to learn?
4. Do you have any clothes that you've fixed yourself or had repaired?5. What are some of your favorite clothing brands? Why do you like them?

Further Discussion

6. Is sustainability something you consider when buying clothes?
7. Do you like buying vintage or secondhand clothes?
8. What pieces of clothing have you had the longest? Why have you kept them?
9. Do you have many clothes that you rarely or never wear?
10. Do you like to keep up with fashion trends?

 

 

 

More Clothing Brands Offering Repair Services

https://engoo.com/app/daily-news/article/more-clothing-brands-offering-repair-services/9XjAopVQEfGpyTNNXjaStA