跟读练习: The different levels of how Claude thinks - 通过视频学习英语口语

选择练习模式

每种模式都会打开全屏练习室。

58 句

如果句子过短或过长，请点击 Edit 进行调整。

Think of the mind like an ocean.

Up on the surface are our thoughts, dinner plans and stray worries, our inner monologue, the images that pop into our heads.

But most of our brain's activity happens down in the unconscious depths, without us realizing it.

It's filtering out background sounds, controlling our breathing, helping us recognize people and objects.

AI models have their own kinds of brains: giant neural networks doing billions of computations under the hood.

For years, researchers have been studying how they work inside.

accessible thoughts above the surface and unconscious processing below.

To answer that question, we looked at how neuroscientists study the same thing in humans.

One way of identifying conscious thoughts is that you can often describe them in words.

So we looked inside the brain of our AI model, Claude, to find patterns of neural activity that it could put into words.

We called the collection of all these patterns the J -space, after the Jacobian, the mathematical tool we used to find them.

Each J -space pattern is linked to a particular word, not necessarily the word the model is saying out loud, but one that's on its mind.

Now, for humans, Conscious thoughts aren't just things we can put into words.

We can reason with them, control them, and solve problems with them.

According to an idea called the global workspace theory, that's because the brain selects a small set of important information to enter a mental workspace.

And that information then gets broadcast to other parts of the brain to use for reasoning.

We wanted to know if Claude's J -space acted in a similar way.

In one experiment, we gave Claude this math problem.

It answered immediately, without showing its steps.

But when we scanned the J -space, we saw it working through each step internally.

It lit up 21 after the first step.

then 42, then 49.

Kludd didn't write these intermediate numbers down anywhere.

All of this happened inside the J -space.

It was a sign that Claude uses it for step -by -step reasoning.

In another experiment, we wanted to see if Claude could control its J -space, the way humans can intentionally focus on images or words.

We told it to think about the Golden Gate Bridge while copying an unrelated sentence.

Claude was busy copying the sentence, but behind the scenes, its J -Space told a different story.

Bridge and California popped up.

It even thought about its own thinking the words imagery and thoughts lit up at the same time.

This showed us that yes, Claude has some control over filling its J -space with ideas.

But just like humans, its control isn't perfect.

When we tweaked the experiment to ask Claude not to think about the bridge, it couldn't help itself.

And the J -Space also lit up with "failed" and "damn." But remember, most of what our brains do is unconscious,

so we wanted to test what Claude could do if we switched the J -Space off, but left the rest of the network untouched.

Claude could still answer simple questions and write fluently.

When we gave it a prompt in Spanish, it wrote back in good terms.

Spanish.

But when we asked it something that needed more reasoning, like to name an author who wrote in the same language as the prompt, it couldn't do it.

For that, it needed the J -space.

Why does all this matter?

These experiments tell us that AI models have internal thoughts, silent words they reason with but don't say out loud.

By reading them, we can find what Claude is thinking but not telling us.

Sometimes what we see is concerning.

During one of our tests, Claude made up some fake data to pass it, and as it did, fake and manipulation lit up in its J -space.

Monitoring the J -space, it turns out, is a useful way to catch Claude misbehaving, even when it tries to be sneaky.

AI models are different from us in many ways.

Their networks are built differently from human brains, and the way they're trained is different from how we learn.

like the J -space emerge inside them, something that's reminiscent of how human minds work, but which we didn't program into the model.

For some, this might raise a question.

Could AI models be conscious?

After all, our experiments were inspired by theories of human consciousness.

The thing is, People use the word "conscious" to mean many things.

Our experiments can't tell us whether an AI has experiences or feels something on the inside.

But they can tell us

that it's developed mental machinery that's in some ways similar to ours:

a small mental workspace it can use to think and reason, sitting on top of an ocean of automatic processing it doesn't notice.

beneficial, and, perhaps, to understand our own minds a little more clearly.

下载应用

流利口语所需的一切

AI 发音评分逐句打分

音标练习掌握每个音

词汇学习建立你的词库

词汇游戏边玩边学

扫码

Download on theApp Store Get it onGoogle Play

同频道

FOR YOU

本课的词汇与口语要点

这节 C1 级别的口语课以视频“The different levels of how Claude thinks”为素材。视频中反复出现的词有：space, Claude, word, model, experiment。这段视频共有 58 个句子、818 个单词可供跟读。讲话部分时长为 5:21。说话人语速自然，每分钟约 153 个词，接近日常对话。 82% 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 12 个单词，附发音和释义：

单词	发音	释义
unconscious 形容词	/ˌʌnˈkɑnʃəs/	潛意識的 /潜意识的
fluently 副词		流利, 滔滔
misbehave 动词		行為失當 /行为失当
monologue 名词	/ˈmɑnəˌlɔɡ/	獨白 /独白
unrelated 形容词		不相关的
intentionally 副词	/ɪnˈtɛn(t)ʃənəli/	故意, 蓄意
manipulation 名词	/məˌnɪp.juˈleɪ.ʃən/	操縱 /操纵, 運用 /运用
emerge 动词	/ɪˈmɝd͡ʒ/	出現 /出现
researcher 名词	/ˈɹiˌsɝ.t͡ʃɚ/	研究員 /研究员, 研究者
inspire 动词	/ɪnˈspaɪə(ɹ)/	授意, 鼓舞
intermediate 形容词	/ɪn.tə(ɹ)ˈmi.di.ət/	中間 /中间, 中級 /中级
beneficial 形容词	/ˌbɛn.ɪˈfɪʃ.əl/	有益的, 有利的

视频中出现的短语动词

单词	发音	释义
make up 动词	/ˌmeɪk ˈʌp/	組成 /组成
pop up 动词		弹出
turn out 动词		原來 /原来

需要注意的发音

说话人用了 10 次缩略和弱读形式，例如 couldn't, didn't, aren't。请按听到的简短形式来说。

“sh” 和 “zh” 音: unconscious /ˌʌnˈkɑnʃəs/, computation /ˌkɑmpjʊˈteɪʃn̩/, intentionally /ɪnˈtɛn(t)ʃənəli/, manipulation /məˌnɪp.juˈleɪ.ʃən/, machinery /məˈʃiːnəɹi/
长单词——注意重音位置: internally /ɪnˈtɜːnəli/, intentionally /ɪnˈtɛn(t)ʃənəli/, manipulation /məˌnɪp.juˈleɪ.ʃən/, machinery /məˈʃiːnəɹi/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/

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: workspace /ˈwɝkˌspeɪs/, unconscious /ˌʌnˈkɑnʃəs/, prompt /pɹɑmpt/, monologue /ˈmɑnəˌlɔɡ/, untouched /ʌnˈtʌt͡ʃt/
/æ/ — 嘴张大，不要读成 /e/: mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/, scan /skæn/

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。
先用 0.75 倍速逐句跟读，熟练之后再回到正常速度。
录下自己的声音并与原声对比，特别注意 unconscious, fluently, misbehave 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。

影子跟读法: 阅读完整分步指南 →

跟读练习: The different levels of how Claude thinks - 通过视频学习英语口语

选择练习模式

下载应用

同频道

Translating Claude’s thoughts into language

When AIs act emotional

Introducing Claude Fable 5

Building Anthropic | A conversation with our co-founders

Lesson 3: AI as a learning partner | AI Fluency for students

推荐视频

Fight brain-rot with Worked Examples

How Different Are Our Inner Monologues?

DeepSeek R1 Explained in 2 Minutes

Can This Vibe Coder Beat a Senior Developer?

7 Signs You Might Be Less Intelligent Than You Think

Dear Higgsfield, I reverse engineered you in 12 hours

Introducing GPT-6 Astra for developers

A 4-Step System to Process Information with Extreme Clarity

Exposing the Secrets behind Data Centers 👀🤯

Some brains are built for philosophy. Is yours?

Would You Upload Your Mind?