Shadowing Practice: AI Will End Philosophy, Physicist Claims - Learn English Speaking with Video
Les maken...
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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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You
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Woordenschat en spreektips bij deze les
Deze video bevat 85 zinnen en 1087 woorden om na te spreken. Het gesproken deel duurt 6:58. De spreker praat in een natuurlijk tempo van ongeveer 156 woorden per minuut, dicht bij een alledaags gesprek. Slechts 80% van de woorden hoort bij de 3.000 meest gebruikte Engelse woorden, dus de woordenschat is pittig.
Belangrijke woorden in deze video
15 woorden uit de video die het leren waard zijn, met uitspraak en betekenis:
| Woord | Uitspraak | Betekenis |
|---|---|---|
| philosopher zelfstandig naamwoord | /fəˈlɑsəfɚ/ | filosoof, filosofe |
| induction zelfstandig naamwoord | /ɪnˈdʌkʃən/ | toeleiding, inductie |
| explanation zelfstandig naamwoord | /ˌɛkspləˈneɪʃən/ | verklaring, toelichting |
| physics zelfstandig naamwoord | /ˈfɪz.ɪks/ | natuurkunde, fysica |
| argue werkwoord | /ˈɑɹ.ɡju/ | redetwisten |
| theoretical bijvoeglijk naamwoord | /ˌθi.əˈɹɛt.ɪ.kəl/ | theoretisch |
| solve werkwoord | /sɒlv/ | oplossen |
| experiment zelfstandig naamwoord | /ɪkˈspɛɹ.ə.mənt/ | experiment, proef |
| philosophical bijvoeglijk naamwoord | /ˌfɪl.əˈsɑ.fɪ.kl̩/ | wijsgerig, filosofisch |
| obsolete bijvoeglijk naamwoord | /ˈɑbsəlit/ | verouderd, achterhaald |
| coherent bijvoeglijk naamwoord | /koʊˈhɛɹ.ənt/ | samenhangend, coherent |
| topic zelfstandig naamwoord | /ˈtɑpɪk/ | onderwerp, thema |
| stable zelfstandig naamwoord | /ˈsteɪ.bəl/ | stal, paardenstal |
| encourage werkwoord | /ɪnˈkʌɹ.ɪd͡ʒ/ | bemoedigen, aanmoedigen |
| select werkwoord | /sɪˈlɛkt/ | uitkiezen, selecteer |
Phrasal verbs die je zult horen
| Woord | Betekenis |
|---|---|
| think through werkwoord | doordenken |
Grammatica in deze video
De structuren die de spreker het meest gebruikt, met de exacte woorden uit de video:
| Structuur | In de video |
|---|---|
| Betrekkelijke bijzinnen who / which + zin — extra informatie over een persoon of ding | pages, which is · induction, which is · answer which is |
| Present perfect have/has + voltooid deelwoord — iets uit het verleden dat nu nog telt | has written · have seen · I've said |
| Lijdende vorm be + voltooid deelwoord — het gaat om wat er gebeurt, niet om wie het doet | is titled · should be done · should be treated |
Uitspraak om op te letten
De spreker gebruikt 17 samentrekkingen en verkorte vormen, zoals doesn't, don't, can't. Spreek ze kort uit, zoals je ze hoort.
- De “th”-klanken: theoretical /ˌθi.əˈɹɛt.ɪ.kəl/, sympathy /ˈsɪm.pəθ.i/, worthwhile /ˌwɜː(ɹ)θˈwaɪl/, pathetically /pəˈθɛtɪkli/, thorny /ˈθɔɹni/
- De klanken “sh” en “zh”: induction /ɪnˈdʌkʃən/, explanation /ˌɛkspləˈneɪʃən/, artificial /ˌɑː.tɪˈfɪʃ.əl/, collections /kəˈlɛkʃənz/, notion /ˈnoʊʃən/
- Lange woorden — let op de klemtoon: philosopher /fəˈlɑsəfɚ/, explanation /ˌɛkspləˈneɪʃən/, theoretical /ˌθi.əˈɹɛt.ɪ.kəl/, experiment /ɪkˈspɛɹ.ə.mənt/, philosophical /ˌfɪl.əˈsɑ.fɪ.kl̩/
Zo oefen je met deze video
- Luister de hele video één keer zonder te spreken en noteer de woorden die je niet kent.
- Begin op 0,75× snelheid, spreek zin voor zin na en ga terug naar normale snelheid zodra het makkelijk gaat.
- Neem jezelf op en vergelijk met het origineel; let daarbij op woorden als philosopher, induction, explanation.
Wat is de Shadowing-techniek?
Shadowing is een wetenschappelijk onderbouwde taalleermethode die oorspronkelijk is ontwikkeld voor professionele tolkentraining en gepopulariseerd door polyglot Dr. Alexander Arguelles. De methode is eenvoudig maar krachtig: je luistert naar native Engelse audio en herhaalt het onmiddellijk hardop — als een schaduw die de spreker volgt met slechts 1–2 seconden vertraging. In tegenstelling tot passief luisteren of grammaticadrills, dwingt shadowing je hersenen en mondspieren om echte spraakpatronen tegelijkertijd te verwerken en te reproduceren. Onderzoek toont aan dat het de uitspraaknauwkeurigheid, intonatie, ritme, verbonden spraak, luisterbegrip en spreekvaardigheid aanzienlijk verbetert — waardoor het een van de meest effectieve methoden is voor IELTS Speaking-voorbereiding en echte Engelse communicatie.