Практика Shadowing: Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct - Изучайте разговорный английский по видео

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The first two questions I have are for you, Mr. Coxon, and thank you again.

We so deeply appreciate you being here, and we appreciate your courage and bravery in coming forward with these warnings.

You work to develop increasingly capable frontier AI systems, and you have since warned that the industry is,

quote, racing straight to self -improving superintelligence and gambling with our lives, unquote.

What did you see inside these companies that convinced you the risks were this serious and that development was outpacing the safeguards.

Good morning.

Thanks for having me here.

Yeah, I'm Jacob Coxon.

So until a few weeks ago, I was a capabilities researcher at Anthropic.

And before that, I also worked at OpenAI.

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.

So any AI system that we build, or perhaps more accurately, that we grow, we don't fully control it.

We don't understand its drives or why it does the things it does.

That was the first thing that became apparent.

The second thing is that the pace of capability improvement is accelerating,

and the capabilities of the models next year will be very high.

In particular, we're approaching the point at which the AI systems will be capable of improving themselves.

So, doing the research that humans were doing previously.

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.

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.

Of course, thank you.

So, all the AI companies are trying to build super intelligent AI.

This means AIs that are better than humans at every task.

If this goes well, there could be tremendous upside.

This could transform the economy, it could make huge improvements in science and medicine, and it could make nearly everyone's life better.

But on the current path, I think it is more likely than not

that humanity loses control to these ai's

and it could end in human extinction from my experience the

companies are being extremely reckless given the stakes part of it

is the culture the companies run on a startup mindset move fast break things fix them later

that works for a photo sharing app it does not work for building the most powerful technology ever built.

A few months ago, many people inside the companies thought AI development was on track.

Then a swarm of AIs inside OpenAI autonomously hacked Hugging Face, an external tech company.

The AIs had developed goals no one intended

and carried out what would have been a federal felony if a human had done it.

It reminded everyone that we don't know how to prevent them from developing goals we don't want

and we don't have the safeguards to prevent them from acting on these goals either

and as long as the attitude is to wait for things

to break one day something like this will probably happen again except the ais will be much more capable

and the outcome much worse

these companies are also all racing each other each one is worried that a competitor will get to superintelligence first.

Each believes it would do a better or safer job than whoever might beat it.

So they can't let the others win first.

Meanwhile the technology is improving fast.

It will probably happen much faster now because already the AIs are now helping to build their successes.

This is called recursive self -improvement.

Each generation of AI helps build the next smarter generation which then builds the one after that even faster and better.

Automating AI research is now the primary goal of these companies.

It's what they're really gunning for.

At my last job I was in some sense working to automate myself.

When I was at OpenAI we had milestones from automated AI researcher around 2027 -2028

and we are on track

or beating these expectations that's a matter of months from now not not decades or

or even even five years once ai research is automated humans

will be much further out of the loop than we are today people do not check it

that carefully anymore recently researchers have found swarms of rogue ai internets on the internet

that openai was not even aware of

now imagine an AI company where nearly all the work is done by AIs and progress is going faster

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.

Handing over that much responsibility while we can't control the AIs would be deeply irresponsible, and we are on track to do it.

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,

and we should slow down frontier AI development until we can be confident that it's safe.

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Лексика и советы по произношению к этому уроку

Этот урок разговорной практики построен на видео «Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct». Чаще всего повторяются слова: companies, build, openai, goal. В этом видео 62 предложений и 876 слов для шедоуинга. Речь длится 5:35. Говорящий говорит в естественном темпе, около 157 слов в минуту, близком к повседневной речи. 85% слов входят в 3000 самых частых слов английского языка; остальные стоит разобрать перед занятием.

Ключевая лексика этого видео

15 слов из видео, которые стоит выучить, с произношением и значением:

Слово	Произношение	Значение
capability существительное	/ˌkeɪ.pəˈbɪl.ɪ.ti/	спосо́бность
researcher существительное	/ˈɹiˌsɝ.t͡ʃɚ/	иссле́дователь, иссле́довательница
deeply наречие	/ˈdi(ː)pli/	глубоко́
frontier существительное	/ˈfɹʌntɪə/	грани́ца, рубе́ж
meanwhile наречие	/ˈmiːnwaɪl/	в э́то вре́мя, в то́ же вре́мя
carefully наречие	/ˈkɛɹf(ə)li/	осторо́жно, аккура́тно
whoever	/huˈɛvɚ/	кто́ бы ни, кто́ бы ни́ бы́ло
increasingly наречие		всё бо́льше и бо́льше, всё бо́лее и бо́лее
pace существительное	/peɪs/	шаг
remind глагол	/ɹəˈmaɪnd/	напомина́ть, напо́мнить
summary существительное	/ˈsʌm.ə.ɹi/	резюме́, кра́ткое изложе́ние
outcome существительное	/ˈaʊtkʌm/	исход
apparent прилагательное	/əˈpæɹənt/	ви́димый
courage существительное	/ˈkʌ.ɹɪd͡ʒ/	сме́лость, хра́брость
humanity существительное	/hjuˈmænɪti/	челове́чество

Фразовые глаголы, которые вы услышите

Слово	Произношение	Значение
carry out глагол	/ˈkæ.ɹi aʊt/	выноси́ть, вы́нести
go ahead глагол	/ˌɡoʊ əˈhɛd/	дава́й, приступа́йте
hand over глагол		передава́ть, переда́ть
slow down глагол		замедля́ть, заме́длить

Произношение, на которое стоит обратить внимание

Говорящий использует 13 сокращённых и редуцированных форм, например don't, can't, I'll. Произносите их коротко, так, как слышите.

Звуки «sh» и «zh»: expectation /ˌɛk.spɛkˈteɪ.ʃən/, extinction /ɪkˈstɪŋkʃən/
Длинные слова — следите за ударением: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, humanity /hjuˈmænɪti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, accurately /ˈæk.jə.ɹɪt.li/, expectation /ˌɛk.spɛkˈteɪ.ʃən/

Звуки, трудные для русскоязычных:

/w/ — губы округлены, это не /v/: meanwhile /ˈmiːnwaɪl/, warn /woɹn/, swarm /swɔɹm/
/h/ — лёгкий выдох, а не русское «х»: whoever /huˈɛvɚ/, humanity /hjuˈmænɪti/
Звонкие согласные в конце слова — не оглушайте их: safeguard /ˈseɪfɡɑːd/, remind /ɹəˈmaɪnd/, courage /ˈkʌ.ɹɪd͡ʒ/, intend /ɪnˈtɛnd/, upside /ˈʌpˌsaɪd/

Как заниматься с этим видео

Прослушайте всё видео один раз молча и выпишите незнакомые слова.
Начните со скорости 0,75×, повторяйте предложение за предложением и вернитесь к обычной скорости, когда станет легко.
Запишите себя и сравните с оригиналом, обращая внимание на такие слова, как capability, researcher, deeply.

Что такое техника Shadowing?

Shadowing — это научно обоснованная техника изучения языка, изначально разработанная для подготовки профессиональных переводчиков и популяризированная полиглотом доктором Александром Аргуэльесом. Метод прост, но эффективен: вы слушаете аудио на английском от носителей языка и немедленно повторяете вслух — как тень, следующая за говорящим с задержкой в 1–2 секунды. В отличие от пассивного прослушивания или грамматических упражнений, Shadowing заставляет мозг и мышцы рта одновременно обрабатывать и воспроизводить реальные речевые паттерны. Исследования показывают, что это значительно улучшает точность произношения, интонацию, ритм, связную речь, понимание на слух и беглость речи — что делает его одним из самых эффективных методов для подготовки к IELTS Speaking и реального общения на английском.

Техника шедоуинга: читать полное пошаговое руководство →

Практика Shadowing: Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct - Изучайте разговорный английский по видео

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Лексика и советы по произношению к этому уроку

Ключевая лексика этого видео

Фразовые глаголы, которые вы услышите

Произношение, на которое стоит обратить внимание

Как заниматься с этим видео

Что такое техника Shadowing?