シャドーイング練習: AI Will End Philosophy, Physicist Claims - 動画で英語スピーキングを学ぶ
レッスンを作成中...
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A physicist has written a book explaining how artificial intelligence will make much of philosophy obsolete soon.
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A philosopher thinks otherwise, and I think, well, they're both wrong.
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Let me explain.
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The new book comes from Louis Fervort, who started out with a PhD in physics, but then did a second PhD in philosophy.
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So this isn't your stereotypical ignorant physicists with a YouTube channel.
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You have me for that.
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The book is titled Problem Solving in Philosophy, How to Do Philosophy in the Age of Ultra Intelligent AI.
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To make a long story short, the author argues that philosophy should be done like in natural science in general, and like theoretical physics in particular.
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As he writes in the book, quote, philosophy is now mature enough to come to reasonably solid answers to key problems,
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And there's one overarching method to do so, in essence, the same method as the natural science is used to obtain answers,
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in particular theoretical physics.
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He argues that philosophers should quantify how good an explanation is by using
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that explanation which gives the largest number of coherent answers to the well -posed problems.
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He calls this the maximally coherent theory.
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The best theory is the one that explains the most cases, makes sense of the most counterexamples and contradicts the least other accepted knowledge.
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And AI can do it, so his argument, because all it really comes down to is counting the questions answered and contradictions.
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He's even done an experiment in which he used AI to allegedly solve a thorny problem of philosophy.
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That's how to define causality.
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The experiment works like this.
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Ask Chad GPT, at the time this was GPT -4, which notion of causality is the best.
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Chad GPT said, counterfactual causality, which Fairbord thinks is correct because it's the one he also likes best.
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Maybe doing philosophy like theoretical physics is not the flex he thinks it is.
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Other philosophy topics that Fairbord thinks AI or cetera is free will, which clearly doesn't exist, and induction,
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which he thinks is a pseudo -problem.
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Though I have to add that he also says that he doesn't think AI will solve all philosophy problems.
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In particular, he says big questions like the meaning of life or the existence of God are still up for grabs,
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presumably until chat GPT 7 .8 Max Pro Ultra agrees with him.
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The author published a paper with his main argument before the book, so we already have a comment from a philosopher titled,
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can we automate philosophy through AI?
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And we want to.
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The philosopher basically says that if you think philosophy is about generating theories and arguing for and against them,
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then yes, an AI can in principle do it.
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If you, on the other hand, think philosophy is about thinking through these problems yourself, then an AI can't do it for you.
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The remarkable thing about this argument is that he managed to blow it up to 15 pages, which is basically my problem with all philosophy literature.
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Loads of words to say the pathetically obvious.
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That said, I don't have much sympathy for the physicist's argument in this case either,
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because the question of how to quantify the best explanation for a philosophical theory is itself a philosophical problem.
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And the entire idea that you can science -ify philosophy is nonsense,
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because philosophy is exactly what we use to discuss the questions that science cannot answer, or not yet.
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There are, of course, questions that eventually move from philosophy to science.
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Consciousness is just doing this, and free will is likely going to come next.
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The problem with the author's argument is nicely illustrated in his take on the problem of induction.
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That's the question of why induction works.
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Why do the laws of nature continue to work?
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Why does the sun rise every morning?
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Why do atoms remain stable?
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Why does Sabina keep making stupid jokes?
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You might say, well, it's because we have seen in the past that that's the case.
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Yes, but that'd be proving induction by induction, which is a circular argument.
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Verwort basically says it's a meaningless question
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because induction should be treated as an axiom and as such it doesn't require a justification.
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But induction is an axiom in science.
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We need it for science to work.
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The question is why does it work?
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That's a question science can't answer which is exactly why it's a question for philosophers.
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If you say a non -scientific question isn't a question then yeah I guess you can close the philosophy departments
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but even Claude could tell you that this is a pseudo -argument.
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That said, I think both of these gentlemen missed the obvious point, which is that humans are by.. default lazy.
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Most philosophy papers are already collections of useless words
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that no one reads and of course increasingly more philosophers will let AI do this job.
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Indeed, I'm sure this is already happening and I hope
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that this will ultimately encourage philosophers to improve the quality of their discourse.
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I give the book a 6 out of 10 on the bullshit meter.
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Why is it so low after all I've said?
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It's because I think that the method that the author suggests to quantify how good different explanations are is worthwhile.
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I just don't think it's going to make philosophy redundant.
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And if AI really does make philosophy obsolete, philosophers will spend the next 50 years debating whether that actually happened.
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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
この動画には、シャドーイング用の文が85文、単語が1087語あります。 音声の長さは6:58です。 話す速さは1分あたり約156語で、日常会話に近い自然なペースです。 英語の頻出3,000語に含まれる単語は80%だけなので、語彙は難しめです。
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 |
|---|---|---|
| philosopher 名詞 | /fəˈlɑsəfɚ/ | 哲学者 |
| explanation 名詞 | /ˌɛkspləˈneɪʃən/ | 説明 |
| physics 名詞 | /ˈfɪz.ɪks/ | 物理学 |
| argue 動詞 | /ˈɑɹ.ɡju/ | 議論する, 論ずる |
| theoretical 形容詞 | /ˌθi.əˈɹɛt.ɪ.kəl/ | 理論的な |
| solve 動詞 | /sɒlv/ | 解決する |
| experiment 名詞 | /ɪkˈspɛɹ.ə.mənt/ | 実験 |
| obsolete 形容詞 | /ˈɑbsəlit/ | 廃れた |
| topic 名詞 | /ˈtɑpɪk/ | 話題, テーマ |
| stable 名詞 | /ˈsteɪ.bəl/ | 馬小屋, 厩舎 |
| encourage 動詞 | /ɪnˈkʌɹ.ɪd͡ʒ/ | 勇気付ける, 奨励する |
| select 動詞 | /sɪˈlɛkt/ | 選ぶ |
| guarantee 名詞 | /ˌɡæɹ.ənˈtiː/ | 保証 |
| obtain 動詞 | /əbˈteɪn/ | 手に入れる, 取得する |
| discount 名詞 | /ˈdɪskaʊnt/ | 割引, 値引き |
動画に出てくる句動詞
| 単語 | 意味 |
|---|---|
| come up 動詞 | 上がる, 登る |
この動画の文法
話し手がよく使っている文型を、動画の実際の表現とともに紹介します。
| 文型 | 動画での表現 |
|---|---|
| 関係詞節 who / which + 節 — 人や物について情報を加える | pages, which is · induction, which is · answer which is |
| 現在完了形 have/has + 過去分詞 — 過去の出来事が今も関係している | has written · have seen · I've said |
| 受動態 be + 過去分詞 — 誰がするかより、何が起きるかに焦点を当てる | is titled · should be done · should be treated |
注意したい発音
話し手はdoesn't, don't, can'tなど、短縮形や弱形を17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: theoretical /ˌθi.əˈɹɛt.ɪ.kəl/, sympathy /ˈsɪm.pəθ.i/, worthwhile /ˌwɜː(ɹ)θˈwaɪl/, pathetically /pəˈθɛtɪkli/, thorny /ˈθɔɹni/
- 「sh」と「zh」の音: induction /ɪnˈdʌkʃən/, explanation /ˌɛkspləˈneɪʃən/, artificial /ˌɑː.tɪˈfɪʃ.əl/, collections /kəˈlɛkʃənz/, notion /ˈnoʊʃən/
- 長い単語（アクセントの位置に注意）: philosopher /fəˈlɑsəfɚ/, explanation /ˌɛkspləˈneɪʃən/, theoretical /ˌθi.əˈɹɛt.ɪ.kəl/, experiment /ɪkˈspɛɹ.ə.mənt/, philosophical /ˌfɪl.əˈsɑ.fɪ.kl̩/
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。philosopher, explanation, physics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。