シャドーイング練習: Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct - 動画で英語スピーキングを学ぶ
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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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このレッスンの語彙とスピーキングのポイント
このスピーキングレッスンは、動画「Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct」を教材にしています。 繰り返し出てくる語は次のとおりです：companies, build, openai, goal。 この動画には、シャドーイング用の文が62文、単語が876語あります。 音声の長さは5:35です。 話す速さは1分あたり約157語で、日常会話に近い自然なペースです。 単語の85%は英語の頻出3,000語に含まれます。残りは練習の前に確認しておきましょう。
この動画の重要語彙
動画に出てくる覚えておきたい単語15語を、発音と意味つきで紹介します。
| 単語 | 発音 | 意味 |
|---|---|---|
| capability 名詞 | /ˌkeɪ.pəˈbɪl.ɪ.ti/ | 能力 |
| researcher 名詞 | /ˈɹiˌsɝ.t͡ʃɚ/ | 研究員, 研究者 |
| deeply 副詞 | /ˈdi(ː)pli/ | 深く |
| frontier 名詞 | /ˈfɹʌntɪə/ | 境界, 国境 |
| meanwhile 副詞 | /ˈmiːnwaɪl/ | その間に |
| carefully 副詞 | /ˈkɛɹf(ə)li/ | じっくり, 慎重に |
| pace 名詞 | /peɪs/ | 歩幅 |
| remind 動詞 | /ɹəˈmaɪnd/ | 思い出させる |
| summary 名詞 | /ˈsʌm.ə.ɹi/ | 要約, 概要 |
| apparent 形容詞 | /əˈpæɹənt/ | 目に見える, 瞭然の |
| courage 名詞 | /ˈkʌ.ɹɪd͡ʒ/ | 勇気, 度胸 |
| humanity 名詞 | /hjuˈmænɪti/ | 人類 |
| intelligent 形容詞 | /ɪnˈtɛlɪd͡ʒənt/ | 聡明な, 賢い |
| loop 名詞 | /luːp/ | ループ |
| convince 動詞 | /kənˈvɪns/ | 説得する, 納得させる |
動画に出てくる句動詞
| 単語 | 発音 | 意味 |
|---|---|---|
| carry out 動詞 | /ˈkæ.ɹi aʊt/ | 行う, 実行する |
| go ahead 動詞 | /ˌɡoʊ əˈhɛd/ | どうぞお先に |
| hand over 動詞 | 引き渡す, 手渡す | |
| slow down 動詞 | 遅らせる |
注意したい発音
話し手はdon't, can't, I'llなど、短縮形や弱形を13回使っています。聞こえたとおりの短い形で発音しましょう。
- 「sh」と「zh」の音: expectation /ˌɛk.spɛkˈteɪ.ʃən/, extinction /ɪkˈstɪŋkʃən/
- 長い単語（アクセントの位置に注意）: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, humanity /hjuˈmænɪti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, accurately /ˈæk.jə.ɹɪt.li/, expectation /ˌɛk.spɛkˈteɪ.ʃən/
日本語話者が苦手な音：
- /r/ と /l/ の区別 — /l/ は舌先を歯茎につけ、/r/ はどこにもつけない: carefully /ˈkɛɹf(ə)li/, accurately /ˈæk.jə.ɹɪt.li/, reckless /ˈɹɛkləs/, irresponsible /ˌɪɹ.əˈspɑn.sə.bəl/, accelerate /ɪkˈsɛl.əˌɹeɪt/
- /v/ — /b/ にならないように、上の歯を下唇に当てる: whoever /huˈɛvɚ/, convince /kənˈvɪns/, bravery /ˈbɹeɪ.və.ɹi/, recursive /ɹɪˈkɜː(ɹ)sɪv/
- /f/ — 「フ」ではなく、上の歯と下唇で出す: frontier /ˈfɹʌntɪə/, safeguard /ˈseɪfɡɑːd/, carefully /ˈkɛɹf(ə)li/, transform /tɹænsˈfɔɹm/, scientifically /ˌsaɪ.ənˈtɪfɪkli/
この動画での練習方法
- まず声を出さずに動画を最後まで聞き、知らない単語をメモします。
- まず0.75倍速で一文ずつシャドーイングし、慣れてきたら通常の速度に戻します。
- 自分の声を録音して元の音声と比べます。capability, researcher, deeplyなどの単語に特に注意しましょう。
シャドーイングとは？英語上達に効果的な理由
シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。