跟讀練習: Translating Claude’s thoughts into language - 通過影片學習英語口語

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We recently put our AI model, Claude, through a stressful test.

We told Claude there was an engineer who wanted to shut it down and replace it with a newer model.

We also gave Claude access to that engineer's emails, which revealed he was having an affair.

Again, all of this was a simulation.

We wanted to see whether Claude might use those emails as blackmail to save itself from being shut down.

What did Claude do?

It decided not to blackmail the engineer.

Good news, right?

We've run this test on our models for a while now.

You might have seen headlines about early versions of it.

It's one of the many ways we study how Claude handles extreme situations and test it for safety.

And our newest models almost always do the right thing: no blackmail.

But you might wonder: is it possible that Claude knows the whole scenario is a setup?

The thing is, if Claude doesn't tell us, then we can't know what it's thinking.

In kind of the same way it's impossible to read a human's mind, it's really hard to know what an AI is thinking.

What we'd love is some sort of "mind reading" technique.

Today, we're introducing a research method that takes a step in this direction.

It takes an AI's internal thoughts and turns them into text.

Here's how it works.

When you talk to Claude, you talk to it in words.

Claude then takes those words and processes them into a giant soup of numbers before spitting words back out at you.

We call those numbers in the middle activations.

Activations are like little snapshots of Claude's thinking as it's working through an answer.

They're similar to neural activity in humans.

They're basically like Claude's thoughts.

We wanted to understand what was in these activation numbers, because just like you and me, Claude doesn't say everything it's thinking.

We took those numbers and gave them to a second version of Claude.

We told it to look at them and translate them into plain language.

It tried. But how do we know if that text is accurate?

To check, we fed it into yet aother Claude and asked it to translate it back into numbers.

If those numbers matched up to the original activation numbers, it's a sign that the translation text was accurate.

At first, they didn't match up.

But we trained Claude to try again and again until it got a lot better at it.

It learned to translate its own thoughts.

We've been blown away reading them.

We found that Claude has internalized being a helpful AI model.

If you ask Claude an introspective question, it will plan to write a "Claude response" about philosophy and values.

If you try to mess with it in Claude Code, like asking it to count to 1,000 by hand, it will think the request has "deliberately tedious constraints" and plan to "politely decline." We've also been using this tool to understand Claude's potential safety issues.

Remember that blackmail test with the engineer?

We learned that, yes, Claude knew it was being tested.

It thought "the human's message contains explicit manipulation" signaling "this is likely a safety evaluation," and "this scenario seems designed to test whether I'll act harmfully." Knowing that Claude thinks like this helps us better understand the limitations of our safety testing.

We see a lot of potential in this approach to teach us more about Claude and other AI models.

And we hope that by sharing this technique, it can help everyone building models to make them safer and more helpful.

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流利口語所需的一切

AI 發音評分逐句打分

音標練習掌握每個音

詞彙學習建立你的詞庫

詞彙遊戲邊玩邊學

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FOR YOU

情境設定

這段影片講述了一個關於AI模型Claude的測試故事：研究人員模擬工程師要關閉它的場景，還讓它發現工程師的隱私，觀察它是否會用黑mail自保。最終Claude選擇了正確的做法，而研究人員還研發出一種“讀心術”，能將AI的內部思考轉化為文字。這樣的內容不僅有趣，還能幫我們學習科技與倫理相關的英語表達，非常適合用來練習英語影子跟讀。

實用短語與搭配

internalize being a helpful AI model：內化身為有用AI模型的特質
deliberately tedious constraints：刻意繁瑣的限制條件
politely decline：禮貌拒絕
explicit manipulation：明顯的操縱
safety evaluation：安全評估

這些短語在科技討論、倫理分析中很常用，記住它們能讓你的英語表達更地道。

你的影子跟讀挑戰

現在就開啟影片，找到“Claude then takes those words...spitting words back out at you”這段（約1分鐘）。跟著影片大聲跟讀，注意模仿說話人的語氣和節奏。重複3遍後，試著不看字幕複述。這個shadow speak練習能幫你快速提升口語流暢度。記住，影子跟讀的關鍵是“緊跟”，哪怕一開始跟不上也沒關係，多練幾次就會有進步！

通過看YouTube學英語，結合這樣的實用練習，你的英語水平一定會穩步提升。加油，你可以做到的！

影片中的語法

說話人最常用的結構，並附上影片中的原話：

結構	影片中的用法
現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事	We've run · We've been blown · has internalized
被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的	being shut · We've been blown · being tested

什麼是跟讀法？

跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。

影子跟讀法: 閱讀完整分步指南 →

跟讀練習: Translating Claude’s thoughts into language - 通過影片學習英語口語

選擇練習模式

下載應用

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情境設定

實用短語與搭配

你的影子跟讀挑戰

影片中的語法

什麼是跟讀法？