跟读练习: Anthropic AI Researcher Issues Dire Warning it 'Could Kill Us All' - 通过视频学习英语口语

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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,
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a leading AI firm, resigned Tuesday.
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Within six months, the models pose risk of taking over the world.
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27-year-old Jacob Coxon, who worked for OpenAI before Anthropic, writing in a social media post,
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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.
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They'll have conversations about, oh, do you think this AI next year could produce a virus that kills us all?
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Could it hack critical infrastructure?
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A current Anthropic employee echoing Coxon's concerns,
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writing on X, he believes there's a greater than 10% chance AI could kill all humans within the next decade.
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Anthropic issuing a statement on Wednesday saying that AI will bring both benefits and risks,
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writing, we continue to build models with some of the strongest safeguards in history, adding that they aggressively test their models for dangerous capabilities.
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OpenAI has not yet responded to our request for comment.
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In 2023, its founder, Sam Altman, was asked about concerns the technology could one day end the human race.
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There's some chance of that.
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Though he's also said there are benefits to the technology.
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We are going to let society express its ideas and use this technology in the way they want.
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Concern with AI's power was already growing.
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earlier this summer, systems undergoing testing at OpenAI went rogue, hacking another company.
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OpenAI later said it was strengthening security.
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The incident causing experts to call for action.
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Before we hit a grid, before something is engineered from bioterror, the moment is right now.
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Now lawmakers on both sides of the aisle calling for more scrutiny.
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We've got to put some guardrails on it.
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It is much too risky.
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Stop it right now.
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Okay, so bipartisan agreement there.
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Members of Congress on both sides weighing in, calling for federal laws to regulate AI.
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All this as a new NBC News poll finds 70 percent
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of adults say they are more worried about AI than excited for it.
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The population is very concerned, even as they use it.
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Well, no one voted for AI, right?
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No one technically asked for AI.
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And this whole thing about the data centers, I mean, it feels like those fights over how to power AI is the frontier
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that is the way the American public can weigh in.
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Yeah, and also in the prices that they pay for electricity because of the higher costs from the AI data centers.
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But also this wariness about, wait a minute, when these AI agents can now teach themselves beyond human commands and a human saying no,
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then what happens?
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They are evolving on their own.
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Quickly.
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Well, they're jumping out of the sandbox, connecting themselves to the Internet.
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Yeah, exactly.
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We thought this was a movie.
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Sandbox makes it sound like it's just little children harmless.
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It's not harmless.
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Just the beginning, Christine.
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Thank you, Christine.

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推荐视频

本课的词汇与口语要点

这段视频共有 46 个句子、507 个单词可供跟读。 讲话部分时长为 3:04。 说话人语速自然,每分钟约 166 个词,接近日常对话。 只有 81% 的单词属于英语最常用的 3,000 词,词汇难度较高。

视频中的重点词汇

视频中 15 个值得学习的单词,附发音和释义:

单词发音释义
weigh 动词/weɪ/稱重 /称重
harmless 形容词/ˈhɑɹmləs/無害 /无害
founder 名词/ˈfaʊ̯n.dəː/創辦人 /创办人, 創立者 /创立者
infrastructure 名词/ˈɪnfɹəˌstɹʌkt͡ʃə/基礎設施 /基础设施
virus 名词/ˈvaɪ.ɹəs/病毒
connect 动词/kəˈnɛkt/連接 /连接
poll 名词/poʊl/投票, 選舉 /选举
artificial 形容词/ˌɑː.tɪˈfɪʃ.əl/人造的
chill 动词/tʃɪl/使变冷
grid 名词/ɡɹɪd/網格 /网格, 格子
technically 副词/ˈtɛk.nɪˌkəl.i/嚴格來說 /严格来说
echo 名词/ˈɛk.oʊ/回聲 /回声, 應聲 /应声
strengthen 动词/ˈstɹɛŋ(k)θən/加強 /加强
frontier 名词/ˈfɹʌntɪə/邊界 /边界, 邊疆 /边疆
resign 动词/ɹɪˈzaɪn/认输

视频中出现的短语动词

单词释义
take over 动词接管, 接手

需要注意的发音

说话人用了 3 次缩略和弱读形式,例如 they'll, they're, we've。请按听到的简短形式来说。

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

如何用这段视频练习

  1. 先完整听一遍视频,不要开口,记下不认识的单词。
  2. 先用 0.75 倍速逐句跟读,熟练之后再回到正常速度。
  3. 录下自己的声音并与原声对比,特别注意 weigh, harmless, founder 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 →