跟读练习: How does AI work? - 通过视频学习英语口语
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1
Hey, it's Esther.
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My friend took this video while riding in a car.
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Watch the steering wheel turn and see if you notice something strange.
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There's no one driving.
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This is what's sometimes called a self -driving car.
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Instead of a person driving, the car is controlled by a computer system with artificial intelligence.
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You've probably heard about artificial intelligence or AI.
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Like maybe you've heard that AI can chat with you online.
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You type a question and it answers.
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Or maybe you've heard that AI can make pictures, like this AI image of a made -up animal.
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Someone named Damari is curious about AI.
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Let's give Damari a call now.
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Hi, Esther.
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Hey, Damari.
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I have a question for you.
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How does AI work?
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That's a great question.
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AI is changing so fast that we can't cover everything in one video.
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I just mentioned a few things that AI can do today.
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Drive cars, chat, and make pictures.
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These things are really different.
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You might wonder how AI does them all.
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But if I told you my friend could do all these things, that wouldn't be so surprising.
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People can learn to do different things, and learning is a big part of how AI works.
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So let's start with some ways that you learn.
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Like how this baby is learning.
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They're making a mess, but watch closely.
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What do you think this baby is learning?
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Now would be a good time to pause the video and discuss.
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Okay, ready?
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Maybe you guessed that this baby is learning to feed themselves.
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For any baby, it takes a lot of tries to get food in their mouth.
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They learn from what works and from what doesn't.
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Each time a baby tries something, their brain gathers information and starts to notice similarities or patterns.
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When a baby gets older, they can use what they learned from past experiences, combined with what they're noticing now, to figure out how to eat new foods.
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Now imagine if, instead of learning like this, you came up with step -by -step instructions for feeding yourself.
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Like, step one, find food.
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Step two, pick up food.
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Step three, put food in mouth.
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But wait, how do you pick it up?
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A slice of pizza is not like tiny peas.
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And picking up soup?
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Totally different.
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Just think of other foods.
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You'd need specific instructions for each one.
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that might sound silly for a person
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but step -by -step instructions are one way
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that computers work people decide what they want a computer to do
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and come up with step -by -step instructions for the computer
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to follow you may have heard this called programming ai works differently
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people still decide what they want the computer to do
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but instead of step -by -step instructions they come up with programming that helps a computer system learn to do a task.
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How that works gets really complicated and varies a lot, but one way is a bit like this messy learning.
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Similar to how a baby gets lots of experiences with food, an AI system is given lots of information.
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So an AI system designed to make images would get information
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in the form of pictures photographs drawings all kinds of pictures we're talking thousands and thousands
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the system is programmed to find patterns in the information like these pictures of cats
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i see a pattern of having pointy ears
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and furry tails the ai system can use patterns like these to make new images of cats.
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But at first, the information is just a digital jumble, and the AI doesn't know what it's looking at.
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It's a bit like a baby making a mess with food.
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The program has to try over and over again, making messy mistakes and finding what works better.
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That's how the AI learns.
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Let's give the AI system a new task.
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Make a picture of a unicorn cat.
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It can use patterns it learns from pictures of cats
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and patterns it learns from pictures of unicorns to predict what's important to include for something that's part cat and part unicorn.
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Then it decides how to make a new image.
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Sometimes AI systems don't get things right.
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That's why AI systems are programmed to learn from what works and what doesn't in order to improve.
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Today, some AI systems are able to do complicated tasks like driving,
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and some can make images of things that seem real but aren't, like this one.
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Hummingbirds don't actually live inside tulips.
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This is an image made by AI.
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This photo was taken in the real world.
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That's a real hummingbird's nest.
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See how incredibly tiny it is?
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This photo and this AI image both seem real.
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But the AI one is not what happens in real life.
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That's why it's important to look up other kinds of information to learn more and check facts.
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So in summary, AI systems do different things, but the basic way that they work is similar.
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Instead of following step -by -step instructions, AI systems work by learning.
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You learn from experiences and use what you learn to figure out how to do new tasks
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and make decisions that's your intelligence
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and your intelligence is the inspiration for artificial intelligence both you
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and ai systems learn from what works
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and from what doesn't work in order to get better at a task ai is changing fast
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and there's much more to explore along with impressive things ai
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can do there are also big concerns like how much energy and water is used to run AI.
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There's lots of debate about when to use AI and what kinds of tasks to use AI for.
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Since you're growing up in a world with AI, you can be part of figuring out how we use it in the future.
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It's good to remember that having AI do a task for you isn't the same as trying it yourself.
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Your brain still needs to learn by doing things that's part of your intelligence
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so stay curious that's all for this week's question thanks damari
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for asking it we want to know what you're curious about it's time to cast your vote
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we picked three questions that we're thinking about answering
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when this video's done playing click on the one you're most
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excited to see answered your vote will help us plan for future mini lessons.
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There are mysteries all around us.
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Stay curious and see you next week.
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本课的词汇与口语要点
这节 B1 级别的口语课以视频“How does AI work?”为素材。 视频中反复出现的词有：step, learn, picture, baby, task。 这段视频共有 100 个句子、1082 个单词可供跟读。 讲话部分时长为 7:45。 说话人语速平稳，每分钟约 140 个词，很适合跟读。 84% 的单词属于英语最常用的 3,000 词，其余的词建议在练习前先学一下。
视频中的重点词汇
视频中最难的 15 个单词，附发音和释义：
| 单词 | 发音 | 释义 |
|---|---|---|
| instruction 名词 | /ɪnˈstɹʌkʃən/ | 教導 /教导 |
| unicorn 名词 | /ˈju.nɪ.kɔɹn/ | 獨角獸 /独角兽 |
| artificial 形容词 | /ˌɑː.tɪˈfɪʃ.əl/ | 人造的 |
| messy 形容词 | /ˈmɛsi/ | 凌亂 |
| hummingbird 名词 | /ˈhʌmɪŋˌbɜɹd/ | 蜂鳥 /蜂鸟 |
| pea 名词 | /piː/ | 豌豆 |
| furry 名词 | /ˈfɜɹ.i/ | 獸 /兽, 獸人 /兽人 |
| similarity 名词 | /ˌsɪm.ɪˈlæɹ.ɪ.ti/ | 相似, 類似 /类似 |
| steer 动词 | /stɪɹ/ | 掌舵, 驾驶 |
| slice 名词 | /slaɪs/ | 片 |
| pause 名词 | /pɔːz/ | 停頓 /停顿, 暫停 /暂停 |
| nest 名词 | /nɛst/ | вә, 岫 |
| predict 动词 | /pɹɪˈdɪkt/ | 預言 /预言 |
| combine 动词 | /kəmˈbaɪn/ | 結合 /结合, 組合 /组合 |
| soup 名词 | /sup/ | 湯 /汤 |
视频中出现的短语动词
| 单词 | 发音 | 释义 |
|---|---|---|
| come up with 动词 | 想出, 提出 | |
| figure out 动词 | 弄清楚 | |
| pick up 动词 | 拾取, 撿 /捡 | |
| look up 动词 | /ˌlʊk ˈʌp/ | 仰, 上看 |
| make up 动词 | /ˌmeɪk ˈʌp/ | 組成 /组成 |
视频中的语法
说话人最常用的结构，并附上视频中的原话：
| 结构 | 视频中的用法 |
|---|---|
| 被动语态 be + 过去分词 — 强调发生了什么，而不是谁做的 | is controlled · is given · is programmed |
| 现在完成时 have/has + 过去分词 — 过去发生但与现在仍有关联的事 | You've probably heard · you've heard |
| 用 “might / may” 表可能 might/may + 动词 — 有可能但不确定的事 | might wonder · might sound · may have |
| 现在进行时 am/is/are + -ing — 此刻或近期正在发生的事 | is changing · is learning · They're making |
需要注意的发音
说话人用了 21 次缩略和弱读形式，例如 doesn't, you're, you've。请按听到的简短形式来说。
- “sh” 和 “zh” 音: instruction /ɪnˈstɹʌkʃən/, artificial /ˌɑː.tɪˈfɪʃ.əl/
- 长单词——注意重音位置: artificial /ˌɑː.tɪˈfɪʃ.əl/, similarity /ˌsɪm.ɪˈlæɹ.ɪ.ti/, differently /ˈdɪf.ə.ɹənt.li/
中文母语者容易读错的音：
- 词尾辅音 — 要读清楚，后面不要加元音: hummingbird /ˈhʌmɪŋˌbɜɹd/, slice /slaɪs/, pause /pɔːz/, nest /nɛst/, predict /pɹɪˈdɪkt/
- /r/ 和 /l/ 的区别: similarity /ˌsɪm.ɪˈlæɹ.ɪ.ti/, differently /ˈdɪf.ə.ɹənt.li/, explore /ɪkˈsploɹ/
- /æ/ — 嘴张大，不要读成 /e/: similarity /ˌsɪm.ɪˈlæɹ.ɪ.ti/, photograph /ˈfoʊ.təˌɡɹæf/, gather /ˈɡæðɚ/
如何用这段视频练习
- 先完整听一遍视频，不要开口，记下不认识的单词。
- 用正常速度逐句跟读，每句重复到你的节奏与说话人一致为止。
- 录下自己的声音并与原声对比，特别注意 instruction, unicorn, artificial 这类单词。
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。