AI Data Centers and the Environment
AI 數據中心與環境
Introduction
AI is growing fast. Many companies are building big data centers. This helps the economy, but it can hurt nature.
AI 發展迅速。許多公司正在建設大型數據中心。這有助於經濟發展，但可能會損害自然環境。
Main Body
Companies spend billions of dollars on these buildings. They create new jobs for local people. But these centers need a lot of electricity.
公司在這些建築物上投入了數十億美元。它們為當地民眾創造了新的就業機會。但這些中心需要大量電力。
These buildings use too much water. Farmers are worried because they need water for their plants. Some companies say they have new ways to save water, but the buildings are still very big.
這些建築物耗水量過高。農民感到憂慮，因為他們種植作物需要用水。部分公司聲稱有新的節水方法，但建築物規模依然龐大。
Different countries have different rules. The US wants to be faster than China. Some US cities stop these buildings because they are too noisy. Also, big storms and heat can break these centers.
不同國家的規定各不相同。美國希望領先於中國。部分美國城市停止建設這些建築物，因為噪音太大。此外，強烈風暴與高溫可能會損毀這些中心。
Conclusion
Countries want new technology. But they also need to protect the earth and people.
各國都渴望新技術，但同時也需要保護地球與人類。
Vocabulary Learning
⚡ The Power of "BUT"
In this text, we see a pattern: Good Thing But Bad Thing.
At A2 level, using "but" is the easiest way to connect two opposite ideas in one sentence.
Examples from the text:
- Helps the economy BUT hurt nature
- New ways to save water BUT buildings are still big
- Want new technology BUT need to protect earth
🧱 Building a Sentence
To use this pattern, follow this simple map:
[Positive Statement] + , but + [Negative Statement]
Try these simple swaps:
- "I like AI, but it uses a lot of water."
- "The jobs are good, but the noise is bad."
🔍 Vocabulary Tip: Size & Quantity
Notice how the text describes things that are "too much":
- Big (buildings)
- Billions (dollars)
- A lot of (electricity)
- Too much (water)
Use these words to describe problems in your city!