Shadowing-Übung: Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct - Englisch Sprechen Lernen mit Video

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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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Wortschatz und Sprechhinweise zu dieser Lektion

Diese Sprechübung basiert auf dem Video „Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct“. Diese Wörter kommen am häufigsten vor: companies, build, openai, goal. Dieses Video enthält 62 Sätze und 876 Wörter zum Nachsprechen. Der gesprochene Teil dauert 5:35. Der Sprecher spricht in natürlichem Tempo, etwa 157 Wörter pro Minute, ähnlich wie im Alltagsgespräch. 85 % der Wörter gehören zu den 3.000 häufigsten im Englischen; den Rest solltest du dir vor dem Üben ansehen.

Wichtiger Wortschatz in diesem Video

15 lernenswerte Wörter aus dem Video, mit Aussprache und Bedeutung:

Wort	Aussprache	Bedeutung
capability Substantiv	/ˌkeɪ.pəˈbɪl.ɪ.ti/	Fähigkeit, Fertigkeit
researcher Substantiv	/ˈɹiˌsɝ.t͡ʃɚ/	Forscher, Forscherin
deeply Adverb	/ˈdi(ː)pli/	tief
frontier Substantiv	/ˈfɹʌntɪə/	Grenzland, Grenzgebiet
safeguard Verb	/ˈseɪfɡɑːd/	absichern, schützen
meanwhile Adverb	/ˈmiːnwaɪl/	währenddessen, inzwischen
carefully Adverb	/ˈkɛɹf(ə)li/	vorsichtig
whoever	/huˈɛvɚ/	wer immer, wer auch immer
increasingly Adverb		zunehmend
pace Substantiv	/peɪs/	Schritt
remind Verb	/ɹəˈmaɪnd/	erinnern, in Erinnerung bringen
summary Substantiv	/ˈsʌm.ə.ɹi/	Zusammenfassung
apparent Adjektiv	/əˈpæɹənt/	offensichtlich
courage Substantiv	/ˈkʌ.ɹɪd͡ʒ/	Courage, Herz
humanity Substantiv	/hjuˈmænɪti/	Menschheit

Phrasal Verbs, die du hören wirst

Wort	Aussprache	Bedeutung
carry out Verb	/ˈkæ.ɹi aʊt/	raus tragen
go ahead Verb	/ˌɡoʊ əˈhɛd/	vorausgehen
hand over Verb		übergeben, überreichen
slow down Verb		verlangsamen

Aussprache, auf die du achten solltest

Der Sprecher verwendet 13 Kurzformen und abgeschwächte Formen, zum Beispiel don't, can't, I'll. Sprich sie in der kurzen Form, so wie du sie hörst.

Die Laute „sh“ und „zh“: expectation /ˌɛk.spɛkˈteɪ.ʃən/, extinction /ɪkˈstɪŋkʃən/
Lange Wörter – auf die Betonung achten: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, humanity /hjuˈmænɪti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, accurately /ˈæk.jə.ɹɪt.li/, expectation /ˌɛk.spɛkˈteɪ.ʃən/

Laute, die Deutschsprachigen schwerfallen:

/w/ — mit runden Lippen, nicht wie das deutsche „w“ (/v/): meanwhile /ˈmiːnwaɪl/, warn /woɹn/, swarm /swɔɹm/
Stimmhafter Auslaut — /b/, /d/, /g/, /z/, /v/ am Wortende nicht verhärten: safeguard /ˈseɪfɡɑːd/, remind /ɹəˈmaɪnd/, courage /ˈkʌ.ɹɪd͡ʒ/, intend /ɪnˈtɛnd/, upside /ˈʌpˌsaɪd/
/æ/ — offener als „ä“: apparent /əˈpæɹənt/, humanity /hjuˈmænɪti/, gambling /ˈɡæm.bl̩.ɪŋ/, transform /tɹænsˈfɔɹm/, transparent /tɹænsˈpæɹənt/

So übst du mit diesem Video

Höre dir das ganze Video einmal an, ohne zu sprechen, und notiere die Wörter, die du nicht kennst.
Beginne mit 0,75-facher Geschwindigkeit, sprich Satz für Satz nach und wechsle zur normalen Geschwindigkeit, sobald es leichtfällt.
Nimm dich auf und vergleiche mit dem Original; achte dabei auf Wörter wie capability, researcher, deeply.

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Wortschatz und Sprechhinweise zu dieser Lektion

Wichtiger Wortschatz in diesem Video

Phrasal Verbs, die du hören wirst

Aussprache, auf die du achten solltest

So übst du mit diesem Video

Was ist die Shadowing-Technik?