跟讀練習: Anthropic AI Researcher Issues Dire Warning it 'Could Kill Us All' - 通過影片學習英語口語

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This morning, chilling new concerns about the potential dangers of artificial intelligence, with Congress now calling for action after a researcher at Anthropic,

a leading AI firm, resigned Tuesday.

Within six months, the models pose risk of taking over the world.

27-year-old Jacob Coxon, who worked for OpenAI before Anthropic, writing in a social media post,

the people building AI earnestly believe that it could kill us all by the end of the decade, and saying neither company is acting responsibly.

They'll have conversations about, oh, do you think this AI next year could produce a virus that kills us all?

Could it hack critical infrastructure?

A current Anthropic employee echoing Coxon's concerns,

writing on X, he believes there's a greater than 10% chance AI could kill all humans within the next decade.

Anthropic issuing a statement on Wednesday saying that AI will bring both benefits and risks,

writing, we continue to build models with some of the strongest safeguards in history, adding that they aggressively test their models for dangerous capabilities.

OpenAI has not yet responded to our request for comment.

In 2023, its founder, Sam Altman, was asked about concerns the technology could one day end the human race.

There's some chance of that.

Though he's also said there are benefits to the technology.

We are going to let society express its ideas and use this technology in the way they want.

Concern with AI's power was already growing.

earlier this summer, systems undergoing testing at OpenAI went rogue, hacking another company.

OpenAI later said it was strengthening security.

The incident causing experts to call for action.

Before we hit a grid, before something is engineered from bioterror, the moment is right now.

Now lawmakers on both sides of the aisle calling for more scrutiny.

We've got to put some guardrails on it.

It is much too risky.

Stop it right now.

Okay, so bipartisan agreement there.

Members of Congress on both sides weighing in, calling for federal laws to regulate AI.

All this as a new NBC News poll finds 70 percent

of adults say they are more worried about AI than excited for it.

The population is very concerned, even as they use it.

Well, no one voted for AI, right?

No one technically asked for AI.

And this whole thing about the data centers, I mean, it feels like those fights over how to power AI is the frontier

that is the way the American public can weigh in.

Yeah, and also in the prices that they pay for electricity because of the higher costs from the AI data centers.

But also this wariness about, wait a minute, when these AI agents can now teach themselves beyond human commands and a human saying no,

then what happens?

They are evolving on their own.

Quickly.

Well, they're jumping out of the sandbox, connecting themselves to the Internet.

Yeah, exactly.

We thought this was a movie.

Sandbox makes it sound like it's just little children harmless.

It's not harmless.

Just the beginning, Christine.

Thank you, Christine.

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音標練習掌握每個音

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詞彙遊戲邊玩邊學

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FOR YOU

本課的詞彙與口語要點

這段影片共有 46 個句子、507 個單詞可供跟讀。講話部分時長為 3:04。說話人語速自然，每分鐘約 166 個詞，接近日常對話。只有 81% 的單詞屬於英語最常用的 3,000 詞，詞彙難度較高。

影片中的重點詞彙

影片中 15 個值得學習的單詞，附發音和釋義：

單詞	發音	釋義
weigh 動詞	/weɪ/	稱重 /稱重
harmless 形容詞	/ˈhɑɹmləs/	無害 /無害
founder 名詞	/ˈfaʊ̯n.dəː/	創辦人 /創辦人, 創立者 /創立者
infrastructure 名詞	/ˈɪnfɹəˌstɹʌkt͡ʃə/	基礎設施 /基礎設施
virus 名詞	/ˈvaɪ.ɹəs/	病毒
connect 動詞	/kəˈnɛkt/	連線 /連線
poll 名詞	/poʊl/	投票, 選舉 /選舉
artificial 形容詞	/ˌɑː.tɪˈfɪʃ.əl/	人造的
chill 動詞	/tʃɪl/	使變冷
grid 名詞	/ɡɹɪd/	網格 /網格, 格子
technically 副詞	/ˈtɛk.nɪˌkəl.i/	嚴格來說 /嚴格來說
echo 名詞	/ˈɛk.oʊ/	回聲 /回聲, 應聲 /應聲
strengthen 動詞	/ˈstɹɛŋ(k)θən/	加強 /加強
frontier 名詞	/ˈfɹʌntɪə/	邊界 /邊界, 邊疆 /邊疆
resign 動詞	/ɹɪˈzaɪn/	認輸

影片中出現的短語動詞

單詞	釋義
take over 動詞	接管, 接手

需要注意的發音

說話人用了 3 次縮略和弱讀形式，例如 they'll, they're, we've。請按聽到的簡短形式來說。

長單詞——注意重音位置: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, electricity /ɪˌlɛkˈtɹɪsɪti/, artificial /ˌɑː.tɪˈfɪʃ.əl/, technically /ˈtɛk.nɪˌkəl.i/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/

如何用這段影片練習

先完整聽一遍影片，不要開口，記下不認識的單詞。
先用 0.75 倍速逐句跟讀，熟練之後再回到正常速度。
錄下自己的聲音並與原聲對比，特別注意 weigh, harmless, founder 這類單詞。

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: Anthropic AI Researcher Issues Dire Warning it 'Could Kill Us All' - 通過影片學習英語口語

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