Pratique du Shadowing: Anthropic AI Researcher Issues Dire Warning it 'Could Kill Us All' - Apprendre l'anglais à l'oral avec la vidéo
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46 phrases
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This morning, chilling new concerns about the potential dangers of artificial intelligence, with Congress now calling for action after a researcher at Anthropic,
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a leading AI firm, resigned Tuesday.
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Within six months, the models pose risk of taking over the world.
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27-year-old Jacob Coxon, who worked for OpenAI before Anthropic, writing in a social media post,
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the people building AI earnestly believe that it could kill us all by the end of the decade, and saying neither company is acting responsibly.
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They'll have conversations about, oh, do you think this AI next year could produce a virus that kills us all?
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Could it hack critical infrastructure?
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A current Anthropic employee echoing Coxon's concerns,
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writing on X, he believes there's a greater than 10% chance AI could kill all humans within the next decade.
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Anthropic issuing a statement on Wednesday saying that AI will bring both benefits and risks,
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writing, we continue to build models with some of the strongest safeguards in history, adding that they aggressively test their models for dangerous capabilities.
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OpenAI has not yet responded to our request for comment.
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In 2023, its founder, Sam Altman, was asked about concerns the technology could one day end the human race.
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There's some chance of that.
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Though he's also said there are benefits to the technology.
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We are going to let society express its ideas and use this technology in the way they want.
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Concern with AI's power was already growing.
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earlier this summer, systems undergoing testing at OpenAI went rogue, hacking another company.
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OpenAI later said it was strengthening security.
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The incident causing experts to call for action.
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Before we hit a grid, before something is engineered from bioterror, the moment is right now.
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Now lawmakers on both sides of the aisle calling for more scrutiny.
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We've got to put some guardrails on it.
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It is much too risky.
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Stop it right now.
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Okay, so bipartisan agreement there.
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Members of Congress on both sides weighing in, calling for federal laws to regulate AI.
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All this as a new NBC News poll finds 70 percent
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of adults say they are more worried about AI than excited for it.
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The population is very concerned, even as they use it.
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Well, no one voted for AI, right?
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No one technically asked for AI.
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And this whole thing about the data centers, I mean, it feels like those fights over how to power AI is the frontier
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that is the way the American public can weigh in.
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Yeah, and also in the prices that they pay for electricity because of the higher costs from the AI data centers.
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But also this wariness about, wait a minute, when these AI agents can now teach themselves beyond human commands and a human saying no,
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then what happens?
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They are evolving on their own.
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Quickly.
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Well, they're jumping out of the sandbox, connecting themselves to the Internet.
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Yeah, exactly.
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We thought this was a movie.
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Sandbox makes it sound like it's just little children harmless.
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It's not harmless.
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Just the beginning, Christine.
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Thank you, Christine.
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Vocabulaire et conseils d’expression pour cette leçon
Cette vidéo contient 46 phrases et 507 mots à répéter en shadowing. La partie parlée dure 3:04. Le locuteur parle à un rythme naturel d’environ 166 mots par minute, proche d’une conversation courante. Seuls 81 % des mots font partie des 3 000 mots les plus courants en anglais, le vocabulaire est donc exigeant.
Vocabulaire clé de cette vidéo
15 mots de la vidéo à retenir, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| weigh verbe | /weɪ/ | peser |
| harmless adjectif | /ˈhɑɹmləs/ | inoffensif |
| founder nom | /ˈfaʊ̯n.dəː/ | fondateur, fondatrice |
| infrastructure nom | /ˈɪnfɹəˌstɹʌkt͡ʃə/ | infrastructure |
| virus nom | /ˈvaɪ.ɹəs/ | virus |
| connect verbe | /kəˈnɛkt/ | accoupler, connecter |
| poll nom | /poʊl/ | sondage |
| artificial adjectif | /ˌɑː.tɪˈfɪʃ.əl/ | artificiel |
| chill verbe | /tʃɪl/ | se relaxer |
| grid nom | /ɡɹɪd/ | grille |
| pose verbe | /poʊz/ | poser |
| technically adverbe | /ˈtɛk.nɪˌkəl.i/ | techniquement |
| capability nom | /ˌkeɪ.pəˈbɪl.ɪ.ti/ | capacité |
| echo nom | /ˈɛk.oʊ/ | écho |
| strengthen verbe | /ˈstɹɛŋ(k)θən/ | renforcer, affermir |
Les verbes à particule que vous entendrez
| Mot | Sens |
|---|---|
| take over verbe | reprendre |
Prononciation à surveiller
Le locuteur utilise 3 contractions et formes réduites, comme they'll, they're, we've. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Mots longs — placez bien l’accent: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, electricity /ɪˌlɛkˈtɹɪsɪti/, artificial /ˌɑː.tɪˈfɪʃ.əl/, technically /ˈtɛk.nɪˌkəl.i/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/
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 weigh, harmless, founder.
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.