余江一中2025届高三年级第二次模拟考试（25-T-116C）英语试题正在持续更新，目前2026届海淀八模答案网为大家整理了相关试题及答案，供大家查缺补漏，高效提升成绩。

本文从以下几个角度介绍。

1、余江一中2024年4月21日
2、余江一中2024
3、余江一中2024年高考喜报
4、2024的余江一中
5、2023-2024余江一中今年高考与去年比怎样
6、余江一中2024年高考成绩
7、2024余江一中喜报
8、余江一中2024高考
9、余江一中2024高考成绩查询
10、2023-2024余江一中喜报

Dear Chris,I hope this email finds you well.Yours,Li Hua第二节概要写作（满分25分)阅读下面短文，根据其内容写一篇60词左右的内容概要。Next time you ask ChatGPT for a cake recipe,consider how much computing power you're using:On atypical day,the artificial intelligence chatbot handles an estimated 195 million queries,consuming enoughelectricity to supply 23,000 US households.Will this huge energy appetite weaken efforts to combat climate change?To the contrary,it can and shouldbe utilized to speed the green transition.It's easy to envision how things could go wrong.In the US,power-hungry AI applications are alreadyadding to strains on electricity grids(电网).There's also a more positive scenario ()The users and owners of data centers are among the world'slargest companies,with sufficient cash,long strategic horizons and public commitments to the environment.Who better to drive the tens of trillions of dollars in investment required to build clean generation,enhancepower grids and achieve net-zero emissions?To an encouraging extent,it's already happening.Tech companies have long been top buyers of renewableenergy,and lately they've breathed life into technologies.The more they,invest,the more they'll helpinnovations reach economies of scale,lowering the cost of clean energy for everyone.What,then,can policymakers do?The best approach would be a tax on carbon emissions.This wouldencourage investment in clean energy,help displace fossil fuel generation and promote more innpvation.Beyondthat,the authorities who approve new data centers should be more selective.They should require,for example,that owners invest in added clean energy capacity that can supply the grid when needed.To be sure,data processing isn't necessarily the biggest challenge of the green transition;by one estimate,it accounted for less than 2%of global electricity demand in 2022.Growth forecasts often prove wrong,andtechnological breakthroughs can change the picture.Yet the need for cleaner energy could hardly be clearer.Even if AI turns out to be a bubble(泡沫)，let it be a bubble with benefits.