Pratique du Shadowing: Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct - Apprendre l'anglais à l'oral avec la vidéo
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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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Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale s’appuie sur la vidéo « Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct ». Les mots qui reviennent le plus souvent : companies, build, openai, goal. Cette vidéo contient 62 phrases et 876 mots à répéter en shadowing. La partie parlée dure 5:35. Le locuteur parle à un rythme naturel d’environ 157 mots par minute, proche d’une conversation courante. 85 % des mots font partie des 3 000 mots les plus courants en anglais ; le reste mérite d’être vu avant de commencer.
Vocabulaire clé de cette vidéo
15 mots de la vidéo à retenir, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| capability nom | /ˌkeɪ.pəˈbɪl.ɪ.ti/ | capacité |
| researcher nom | /ˈɹiˌsɝ.t͡ʃɚ/ | chercheur, chercheuse |
| deeply adverbe | /ˈdi(ː)pli/ | profondément |
| frontier nom | /ˈfɹʌntɪə/ | frontière |
| safeguard verbe | /ˈseɪfɡɑːd/ | protéger |
| meanwhile adverbe | /ˈmiːnwaɪl/ | pendant ce temps-là, entretemps |
| carefully adverbe | /ˈkɛɹf(ə)li/ | soigneusement |
| whoever | /huˈɛvɚ/ | quiconque, qui que ce soit qui |
| increasingly adverbe | de plus en plus | |
| pace nom | /peɪs/ | pas |
| remind verbe | /ɹəˈmaɪnd/ | rappeler à |
| summary nom | /ˈsʌm.ə.ɹi/ | résumé, sommaire |
| apparent adjectif | /əˈpæɹənt/ | apparent, visible |
| courage nom | /ˈkʌ.ɹɪd͡ʒ/ | bravoure, courage |
| humanity nom | /hjuˈmænɪti/ | humanité |
Les verbes à particule que vous entendrez
| Mot | Prononciation | Sens |
|---|---|---|
| carry out verbe | /ˈkæ.ɹi aʊt/ | sortir, transporter dehors |
| go ahead verbe | /ˌɡoʊ əˈhɛd/ | vas-y, allez-y |
| hand over verbe | remettre, donner | |
| slow down verbe | ralentir, décélérer |
Prononciation à surveiller
Le locuteur utilise 13 contractions et formes réduites, comme don't, can't, I'll. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « sh » et « zh »: expectation /ˌɛk.spɛkˈteɪ.ʃən/, extinction /ɪkˈstɪŋkʃən/
- Mots longs — placez bien l’accent: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, humanity /hjuˈmænɪti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, accurately /ˈæk.jə.ɹɪt.li/, expectation /ˌɛk.spɛkˈteɪ.ʃən/
Les sons difficiles pour les francophones :
- /h/ — il se souffle, il n’est pas muet: whoever /huˈɛvɚ/, humanity /hjuˈmænɪti/
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: researcher /ˈɹiˌsɝ.t͡ʃɚ/, courage /ˈkʌ.ɹɪd͡ʒ/, intelligent /ɪnˈtɛlɪd͡ʒənt/
- /r/ anglais — langue recourbée, sans frotter la gorge: researcher /ˈɹiˌsɝ.t͡ʃɚ/, frontier /ˈfɹʌntɪə/, carefully /ˈkɛɹf(ə)li/, remind /ɹəˈmaɪnd/, summary /ˈsʌm.ə.ɹi/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme capability, researcher, deeply.
Qu'est-ce que la technique du Shadowing ?
Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.