シャドーイング練習: Sam Altman on AI: 'We've not had the iPhone moment' - 動画で英語スピーキングを学ぶ
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Welcome back.
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OpenAI's Sam Altman making some new comments over the weekend.
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Kate Rooney joins us with more.
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Hey, Kate.
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Hey, Leslie.
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So OpenAI CEO saying that the AI revolution may take a little bit longer than expected.
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Sam Altman appeared on David Senra's podcast over the weekend.
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He said we're still at the Palm Pilot stage of adoption.
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A lot of the technology was there.
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It was missing multi-touch, but mostly it was missing the product ideas that made the iPhone the iPhone.
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And I feel like we are now in a world where we have all of the technological pieces,
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but we have not had the iPhone moment of completely changing how someone interfaces with technology.
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Altman went on to say that AI adoption has been slower than expected, and so has the economic disruption.
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The economy just has so much inertia.
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People keep doing the same things they're doing.
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They keep buying from the same company.
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They keep sort of wanting to use their tools in the same way.
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I think it's actually a positive in many ways, and it's going to this big transition in front of us go smoother and slower, and I'm grateful for it.
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But I think it means we've all been too ambitious on timelines, even with this incredible technology.
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A couple of other headlines, guys.
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Altman said that compute right now is the biggest bottleneck.
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He said that is where he's spending the most time at OpenAI.
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Two of the biggest risks for AI that he outlined, he talked about a loss of control where AI gets too powerful,
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And then one company or one model ends up having too much power as well.
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He also said OpenAI wants to be a platform company and not actually compete with its customers.
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So maybe a sigh of relief there from some software names.
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Well, Kate, what does that mean to be a platform company?
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So basically, David, that they would be, it's called an API, but they would be behind the scenes powering other startups.
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The fear around OpenAI, Anthropic, and others is that they want to go what people call up the stack.
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They want to be the actual app in the interface with customers and say disrupt, you know, a traditional software company Altman positioning OpenAI as,
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hey, we're going to work with everybody on the back end and sort of white label our technology.
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We don't necessarily want to build every legal company, every software company, every cyber company,
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which is where a lot of the software sell up and the SaaSpocalypse earlier this year that we talked about came from.
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Altman, though, strategically positioning that.
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He also wants to win over enterprises.
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So if you think about his reasoning behind saying that and messaging that is that, hey, you also need to make sure that enterprises feel comfortable working with you.
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So clearly some motivation there to frame it that way.
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But he also talked about ditching some strategic projects and some important projects.
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He talked about the power loss.
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And when you think about the venture capital mindset of sticking with one of the biggest bets paying off, he said, you know, we ditched Sora, for example, because it was taking up too much compute.
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That was the video generation side of it.
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So got a little bit of his thinking behind OpenAI, but he still very much thinks like an investor in a lot of ways.
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Yeah, it's interesting hearing him talk about the centralization of power, though.
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But yet, I mean, wouldn't open source be one of the answers to that as well?
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It's interesting, David.
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And that would be the obvious answer to that would be cheaper options out of China.
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And they've sort of he's sort of danced around that.
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They didn't talk about open source in particular, but he did take some sort of veiled attacks at at Anthropic.
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He talked about this caricature of, you know, AI power being in the hands of he said he sort of described it as this fiefdom said.
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I think he used the word bequeath.
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But, you know, we're going to bequeath the AI on our, you know, our not.
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You didn't use the word peasants, but you know what I mean.
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He used this sort of analogy, this renaissance analogy of AI companies controlling a lot of the power, doing amazing things like curing diseases, but at the same time,
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meaning that the average person gets a lot less control and sort of uses this maybe overstatement of caricature of AI.
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He didn't mention Anthropic specifically, but a lot of people are picking up on that, saying, oh, he's probably taking a dig at his biggest competitor there.
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Yeah, there's no shortage of digs at Dario
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and Anthropic are there very subtle exactly well it's interesting i mean the two biggest companies
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when they talk about a competitor it's usually it's usually anthropic yeah it is kate thank you
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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B2レベルのスピーキングレッスンは、動画「Sam Altman on AI: 'We've not had the iPhone moment'」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：Altman, Openai, anthropic, talked, biggest。 この動画には、シャドーイング用の文が58文、単語が836語あります。 音声の長さは4:12です。 話す速さは速く、1分あたり約199語です。音のつながりや弱く発音される音が多くなります。 単語の83%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
動画の中で特に難しい単語15語を、発音と意味つきで紹介します。
| 単語 | 発音 | 意味 |
|---|---|---|
| bequeath 動詞 | /bɪˈkwiːθ/ | 遺す |
| caricature 形容詞 | /ˈkɛɹɪkət͡ʃʊɚ/ | 風刺画, 戯画 |
| compute 動詞 | /kəmˈpjuːt/ | 計算する |
| analogy 名詞 | /əˈnæləd͡ʒi/ | 類推, アナロジー |
| competitor 名詞 | /kəmˈpɛt.ɪ.tɚ/ | 競争者 |
| ditch 名詞 | /dɪt͡ʃ/ | 側溝 |
| interface 名詞 | /ˈɪn(t)ɚˌfeɪs/ | インターフェース |
| adoption 名詞 | /əˈdɑp.ʃən/ | 養子縁組 |
| bottleneck 名詞 | 瓶の首 | |
| inertia 名詞 | /ɪnˈɝ.ʃə/ | 慣性 |
| startup 名詞 | /ˈstɑɹtˌʌp/ | スタートアップ, ベンチャー |
| mindset 名詞 | /ˈmaɪn(d)ˌsɛt/ | 考え方, 心理 |
| shortage 名詞 | /ˈʃɔː(ɹ)tɪd͡ʒ/ | 不足, 欠損 |
| outline 名詞 | /ˈaʊtlaɪn/ | 中抜き |
| sigh 動詞 | /saɪ/ | 嘆く, 嘆息する |
動画に出てくる句動詞
| 単語 | 意味 |
|---|---|
| pay off 動詞 | 報われる |
注意したい発音
話し手はdidn't, we're, don'tなど、短縮形や弱形を12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。
- 「th」の音: anthropic /ænˈθɹɒp.ɪk/, bequeath /bɪˈkwiːθ/
- 「sh」と「zh」の音: adoption /əˈdɑp.ʃən/, centralization /ˌsɛntɹələˈzeɪʃən/, inertia /ɪnˈɝ.ʃə/, disruption /dɪsˈɹʌpʃən/, shortage /ˈʃɔː(ɹ)tɪd͡ʒ/
- 長い単語（アクセントの位置に注意）: caricature /ˈkɛɹɪkət͡ʃʊɚ/, analogy /əˈnæləd͡ʒi/, competitor /kəmˈpɛt.ɪ.tɚ/, centralization /ˌsɛntɹələˈzeɪʃən/, technological /ˌtɛk.nəˈlɑ.dʒɪ.kəl/
日本語話者が苦手な音：
- /v/ — /b/ にならないように、上の歯を下唇に当てる: veil /veɪl/, investor /ɪnˈvɛs.tə(ɹ)/
- 子音の連続 — 間に母音を入れない: anthropic /ænˈθɹɒp.ɪk/, compute /kəmˈpjuːt/, centralization /ˌsɛntɹələˈzeɪʃən/, disrupt /dɪsˈɹʌpt/, startup /ˈstɑɹtˌʌp/
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。bequeath, caricature, compute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。