Prática de Shadowing: Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct - Aprenda a falar inglês com vídeo
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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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Vocabulário e dicas de fala para esta lição
Esta aula de conversação usa o vídeo “Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct”. As palavras que mais se repetem: companies, build, openai, goal. Este vídeo tem 62 frases e 876 palavras para praticar shadowing. A fala dura 5:35. O falante fala em ritmo natural, cerca de 157 palavras por minuto, próximo de uma conversa do dia a dia. 85% das palavras estão entre as 3.000 mais comuns do inglês; vale a pena estudar o restante antes de começar.
Vocabulário principal deste vídeo
15 palavras do vídeo que vale a pena aprender, com pronúncia e significado:
| Palavra | Pronúncia | Significado |
|---|---|---|
| capability substantivo | /ˌkeɪ.pəˈbɪl.ɪ.ti/ | capacidade |
| researcher substantivo | /ˈɹiˌsɝ.t͡ʃɚ/ | pesquisador, pesquisadora |
| deeply advérbio | /ˈdi(ː)pli/ | profundamente |
| frontier substantivo | /ˈfɹʌntɪə/ | fronteira |
| safeguard verbo | /ˈseɪfɡɑːd/ | salvaguardar |
| meanwhile advérbio | /ˈmiːnwaɪl/ | ao mesmo tempo, simultaneamente |
| carefully advérbio | /ˈkɛɹf(ə)li/ | cuidadosamente, cautelosamente |
| whoever | /huˈɛvɚ/ | quem, quem quer que |
| increasingly advérbio | cada vez mais | |
| pace substantivo | /peɪs/ | passo |
| remind verbo | /ɹəˈmaɪnd/ | lembrar, recordar |
| summary substantivo | /ˈsʌm.ə.ɹi/ | resumo, sumário |
| apparent adjetivo | /əˈpæɹənt/ | visível |
| courage substantivo | /ˈkʌ.ɹɪd͡ʒ/ | coragem, coração |
| humanity substantivo | /hjuˈmænɪti/ | humanidade |
Phrasal verbs que você vai ouvir
| Palavra | Pronúncia | Significado |
|---|---|---|
| carry out verbo | /ˈkæ.ɹi aʊt/ | carregar |
| go ahead verbo | /ˌɡoʊ əˈhɛd/ | vai em frente |
| hand over verbo | entregar, transferir | |
| slow down verbo | desacelerar |
Pronúncia para ficar de olho
O falante usa 13 contrações e formas reduzidas, como don't, can't, I'll. Diga-as na forma curta, do jeito que você ouve.
- Os sons de “sh” e “zh”: expectation /ˌɛk.spɛkˈteɪ.ʃən/, extinction /ɪkˈstɪŋkʃən/
- Palavras longas — acerte a sílaba tônica: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, humanity /hjuˈmænɪti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, accurately /ˈæk.jə.ɹɪt.li/, expectation /ˌɛk.spɛkˈteɪ.ʃən/
Sons difíceis para falantes de português:
- Consoante final — sem acrescentar um “i” depois: safeguard /ˈseɪfɡɑːd/, remind /ɹəˈmaɪnd/, apparent /əˈpæɹənt/, intelligent /ɪnˈtɛlɪd͡ʒənt/, loop /luːp/
- /l/ final — a língua toca o céu da boca, não vira “u”: meanwhile /ˈmiːnwaɪl/, irresponsible /ˌɪɹ.əˈspɑn.sə.bəl/
- /h/ — um sopro suave, diferente do “r”: whoever /huˈɛvɚ/, humanity /hjuˈmænɪti/
Como praticar com este vídeo
- Ouça o vídeo inteiro uma vez sem falar e anote as palavras que você não conhece.
- Comece na velocidade 0,75×, faça shadowing frase por frase e volte à velocidade normal quando ficar fácil.
- Grave a sua voz e compare com o original, prestando atenção a palavras como capability, researcher, deeply.
O que é a Técnica de Shadowing?
Shadowing é uma técnica de aprendizado de idiomas com base científica, originalmente desenvolvida para o treinamento de intérpretes profissionais. O método é simples, mas poderoso: você ouve áudio em inglês nativo e repete imediatamente em voz alta — como uma sombra seguindo o falante com 1-2 segundos de atraso. Pesquisas mostram melhora significativa na precisão da pronúncia, entonação, ritmo, sons conectados, compreensão auditiva e fluência na fala.