Shadowing Practice: Anthropic AI Researcher Issues Dire Warning it 'Could Kill Us All' - Learn English Speaking with Video

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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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Bu dersin kelimeleri ve konuşma notları

Bu videoda gölgeleme çalışması için 46 cümle ve 507 kelime var. Konuşma bölümü 3:04 sürüyor. Konuşmacı dakikada yaklaşık 166 kelimeyle, günlük konuşmaya yakın doğal bir hızda konuşuyor. Kelimelerin yalnızca %81’i İngilizcede en sık kullanılan 3.000 kelime arasında, bu yüzden kelime dağarcığı zorlayıcı.

Bu videodaki önemli kelimeler

Videodan öğrenmeye değer 15 kelime, telaffuzu ve anlamıyla:

KelimeTelaffuzAnlam
weigh fiil/weɪ/tartmak
harmless sıfat/ˈhɑɹmləs/zararsız
founder isim/ˈfaʊ̯n.dəː/kurucu
infrastructure isim/ˈɪnfɹəˌstɹʌkt͡ʃə/altyapı, enfrastrüktür
virus isim/ˈvaɪ.ɹəs/virüs
artificial sıfat/ˌɑː.tɪˈfɪʃ.əl/yapay, suni
grid isim/ɡɹɪd/şebeke
technically zarf/ˈtɛk.nɪˌkəl.i/teknik yönden
echo isim/ˈɛk.oʊ/yankı
strengthen fiil/ˈstɹɛŋ(k)θən/güçlendirmek, kuvvetlendirmek
resign fiil/ɹɪˈzaɪn/istifa etmek
risky sıfat/ˈɹɪski/riskli
researcher isim/ˈɹiˌsɝ.t͡ʃɚ/araştırmacı, araştırıcı
regulate fiil/ˈɹɛɡ.jə.leɪt/regüle etmek
scrutiny isim/ˈskɹuː.tɪ.ni/dikkatli inceleme

Dikkat edilecek telaffuzlar

Konuşmacı they'll, they're, we've gibi kısaltılmış biçimleri 3 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.

  • Uzun kelimeler — vurguyu doğru yere koyun: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, electricity /ɪˌlɛkˈtɹɪsɪti/, artificial /ˌɑː.tɪˈfɪʃ.əl/, technically /ˈtɛk.nɪˌkəl.i/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/

Bu videoyla nasıl çalışılır

  1. Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
  2. 0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
  3. Kendinizi kaydedin ve orijinaliyle karşılaştırın; weigh, harmless, founder gibi kelimelere özellikle dikkat edin.

Gölgeleme Tekniği Nedir?

Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.

Shadowing tekniği: adım adım eksiksiz rehberi okuyun →