跟读练习: Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct - 通过视频学习英语口语
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The first two questions I have are for you, Mr. Coxon, and thank you again.
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We so deeply appreciate you being here, and we appreciate your courage and bravery in coming forward with these warnings.
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You work to develop increasingly capable frontier AI systems, and you have since warned that the industry is,
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quote, racing straight to self -improving superintelligence and gambling with our lives, unquote.
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What did you see inside these companies that convinced you the risks were this serious and that development was outpacing the safeguards.
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Good morning.
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Thanks for having me here.
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Yeah, I'm Jacob Coxon.
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So until a few weeks ago, I was a capabilities researcher at Anthropic.
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And before that, I also worked at OpenAI.
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I guess the two things I saw that made me scared, the first is the fact that we do not know how to control any AI system yet.
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So any AI system that we build, or perhaps more accurately, that we grow, we don't fully control it.
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We don't understand its drives or why it does the things it does.
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That was the first thing that became apparent.
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The second thing is that the pace of capability improvement is accelerating,
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and the capabilities of the models next year will be very high.
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In particular, we're approaching the point at which the AI systems will be capable of improving themselves.
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So, doing the research that humans were doing previously.
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So, these two things, the fact that the AI systems next year are going to be very powerful, and the second, that we don't know yet scientifically how to fully control them.
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And if you have a prepared statement that you want to read, please go ahead and do so, and then I'll actually turn it over to the other two panelists to do so.
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Of course, thank you.
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So, all the AI companies are trying to build super intelligent AI.
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This means AIs that are better than humans at every task.
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If this goes well, there could be tremendous upside.
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This could transform the economy, it could make huge improvements in science and medicine, and it could make nearly everyone's life better.
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But on the current path, I think it is more likely than not
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that humanity loses control to these ai's
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and it could end in human extinction from my experience the
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companies are being extremely reckless given the stakes part of it
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is the culture the companies run on a startup mindset move fast break things fix them later
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that works for a photo sharing app it does not work for building the most powerful technology ever built.
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A few months ago, many people inside the companies thought AI development was on track.
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Then a swarm of AIs inside OpenAI autonomously hacked Hugging Face, an external tech company.
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The AIs had developed goals no one intended
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and carried out what would have been a federal felony if a human had done it.
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It reminded everyone that we don't know how to prevent them from developing goals we don't want
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and we don't have the safeguards to prevent them from acting on these goals either
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and as long as the attitude is to wait for things
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to break one day something like this will probably happen again except the ais will be much more capable
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and the outcome much worse
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these companies are also all racing each other each one is worried that a competitor will get to superintelligence first.
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Each believes it would do a better or safer job than whoever might beat it.
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So they can't let the others win first.
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Meanwhile the technology is improving fast.
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It will probably happen much faster now because already the AIs are now helping to build their successes.
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This is called recursive self -improvement.
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Each generation of AI helps build the next smarter generation which then builds the one after that even faster and better.
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Automating AI research is now the primary goal of these companies.
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It's what they're really gunning for.
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At my last job I was in some sense working to automate myself.
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When I was at OpenAI we had milestones from automated AI researcher around 2027 -2028
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and we are on track
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or beating these expectations that's a matter of months from now not not decades or
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or even even five years once ai research is automated humans
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will be much further out of the loop than we are today people do not check it
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that carefully anymore recently researchers have found swarms of rogue ai internets on the internet
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that openai was not even aware of
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now imagine an AI company where nearly all the work is done by AIs and progress is going faster
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The humans in charge will see results and read AI -written summaries, but they won't really understand what is going on or how to fix it.
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Handing over that much responsibility while we can't control the AIs would be deeply irresponsible, and we are on track to do it.
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The companies need to be far more transparent with the public and independent experts, they need to take safety much more seriously than they have,
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and we should slow down frontier AI development until we can be confident that it's safe.
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本课的词汇与口语要点
这节口语课以视频“Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct”为素材。 视频中反复出现的词有：companies, build, openai, goal。 这段视频共有 62 个句子、876 个单词可供跟读。 讲话部分时长为 5:35。 说话人语速自然，每分钟约 157 个词，接近日常对话。 85% 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 15 个值得学习的单词，附发音和释义：
| 单词 | 发音 | 释义 |
|---|---|---|
| researcher 名词 | /ˈɹiˌsɝ.t͡ʃɚ/ | 研究員 /研究员, 研究者 |
| deeply 副词 | /ˈdi(ː)pli/ | 深, 深深 |
| frontier 名词 | /ˈfɹʌntɪə/ | 邊界 /边界, 邊疆 /边疆 |
| meanwhile 副词 | /ˈmiːnwaɪl/ | 同時 /同时 |
| carefully 副词 | /ˈkɛɹf(ə)li/ | 小心地 |
| pace 名词 | /peɪs/ | 步伐, 步幅 |
| remind 动词 | /ɹəˈmaɪnd/ | 提醒 |
| summary 名词 | /ˈsʌm.ə.ɹi/ | 摘要 |
| apparent 形容词 | /əˈpæɹənt/ | 明确的 |
| courage 名词 | /ˈkʌ.ɹɪd͡ʒ/ | 勇氣 /勇气, 膽量 /胆量 |
| humanity 名词 | /hjuˈmænɪti/ | 人類 /人类 |
| intelligent 形容词 | /ɪnˈtɛlɪd͡ʒənt/ | 聰明 /聪明, 聰慧 /聪慧 |
| loop 名词 | /luːp/ | 圈, 環 /环 |
| convince 动词 | /kənˈvɪns/ | 說服 /说服 |
| stake 名词 | /steɪk/ | 木樁 /木桩 |
视频中出现的短语动词
| 单词 | 发音 | 释义 |
|---|---|---|
| carry out 动词 | /ˈkæ.ɹi aʊt/ | 進行 /进行 |
| go ahead 动词 | /ˌɡoʊ əˈhɛd/ | 請便 /请便 |
| hand over 动词 | 交出, 移交 | |
| slow down 动词 | 減速 /减速, 放慢 |
需要注意的发音
说话人用了 13 次缩略和弱读形式，例如 don't, can't, I'll。请按听到的简短形式来说。
- “sh” 和 “zh” 音: expectation /ˌɛk.spɛkˈteɪ.ʃən/, extinction /ɪkˈstɪŋkʃən/
- 长单词——注意重音位置: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, humanity /hjuˈmænɪti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, accurately /ˈæk.jə.ɹɪt.li/, expectation /ˌɛk.spɛkˈteɪ.ʃən/
中文母语者容易读错的音：
- /v/ — 不要读成 /w/，上齿轻触下唇: whoever /huˈɛvɚ/, convince /kənˈvɪns/, bravery /ˈbɹeɪ.və.ɹi/, recursive /ɹɪˈkɜː(ɹ)sɪv/
- 词尾辅音 — 要读清楚，后面不要加元音: safeguard /ˈseɪfɡɑːd/, pace /peɪs/, remind /ɹəˈmaɪnd/, apparent /əˈpæɹənt/, courage /ˈkʌ.ɹɪd͡ʒ/
- /r/ 和 /l/ 的区别: carefully /ˈkɛɹf(ə)li/, accurately /ˈæk.jə.ɹɪt.li/, reckless /ˈɹɛkləs/, irresponsible /ˌɪɹ.əˈspɑn.sə.bəl/, accelerate /ɪkˈsɛl.əˌɹeɪt/
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 researcher, deeply, frontier 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。