쉐도잉 연습: Sam Altman on AI: 'We've not had the iPhone moment' - 영상으로 영어 말하기 배우기

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Welcome back.

OpenAI's Sam Altman making some new comments over the weekend.

Kate Rooney joins us with more.

Hey, Kate.

Hey, Leslie.

So OpenAI CEO saying that the AI revolution may take a little bit longer than expected.

Sam Altman appeared on David Senra's podcast over the weekend.

He said we're still at the Palm Pilot stage of adoption.

A lot of the technology was there.

It was missing multi-touch, but mostly it was missing the product ideas that made the iPhone the iPhone.

And I feel like we are now in a world where we have all of the technological pieces,

but we have not had the iPhone moment of completely changing how someone interfaces with technology.

Altman went on to say that AI adoption has been slower than expected, and so has the economic disruption.

The economy just has so much inertia.

People keep doing the same things they're doing.

They keep buying from the same company.

They keep sort of wanting to use their tools in the same way.

I think it's actually a positive in many ways, and it's going to this big transition in front of us go smoother and slower, and I'm grateful for it.

But I think it means we've all been too ambitious on timelines, even with this incredible technology.

A couple of other headlines, guys.

Altman said that compute right now is the biggest bottleneck.

He said that is where he's spending the most time at OpenAI.

Two of the biggest risks for AI that he outlined, he talked about a loss of control where AI gets too powerful,

And then one company or one model ends up having too much power as well.

He also said OpenAI wants to be a platform company and not actually compete with its customers.

So maybe a sigh of relief there from some software names.

Well, Kate, what does that mean to be a platform company?

So basically, David, that they would be, it's called an API, but they would be behind the scenes powering other startups.

The fear around OpenAI, Anthropic, and others is that they want to go what people call up the stack.

They want to be the actual app in the interface with customers and say disrupt, you know, a traditional software company Altman positioning OpenAI as,

hey, we're going to work with everybody on the back end and sort of white label our technology.

We don't necessarily want to build every legal company, every software company, every cyber company,

which is where a lot of the software sell up and the SaaSpocalypse earlier this year that we talked about came from.

Altman, though, strategically positioning that.

He also wants to win over enterprises.

So if you think about his reasoning behind saying that and messaging that is that, hey, you also need to make sure that enterprises feel comfortable working with you.

So clearly some motivation there to frame it that way.

But he also talked about ditching some strategic projects and some important projects.

He talked about the power loss.

And when you think about the venture capital mindset of sticking with one of the biggest bets paying off, he said, you know, we ditched Sora, for example, because it was taking up too much compute.

That was the video generation side of it.

So got a little bit of his thinking behind OpenAI, but he still very much thinks like an investor in a lot of ways.

Yeah, it's interesting hearing him talk about the centralization of power, though.

But yet, I mean, wouldn't open source be one of the answers to that as well?

It's interesting, David.

And that would be the obvious answer to that would be cheaper options out of China.

And they've sort of he's sort of danced around that.

They didn't talk about open source in particular, but he did take some sort of veiled attacks at at Anthropic.

He talked about this caricature of, you know, AI power being in the hands of he said he sort of described it as this fiefdom said.

I think he used the word bequeath.

But, you know, we're going to bequeath the AI on our, you know, our not.

You didn't use the word peasants, but you know what I mean.

He used this sort of analogy, this renaissance analogy of AI companies controlling a lot of the power, doing amazing things like curing diseases, but at the same time,

meaning that the average person gets a lot less control and sort of uses this maybe overstatement of caricature of AI.

He didn't mention Anthropic specifically, but a lot of people are picking up on that, saying, oh, he's probably taking a dig at his biggest competitor there.

Yeah, there's no shortage of digs at Dario

and Anthropic are there very subtle exactly well it's interesting i mean the two biggest companies

when they talk about a competitor it's usually it's usually anthropic yeah it is kate thank you

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이 레슨의 어휘와 말하기 포인트

이 B2 수준 말하기 레슨은 영상 “Sam Altman on AI: 'We've not had the iPhone moment'”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: Altman, Openai, anthropic, talked, biggest. 이 영상에는 섀도잉할 문장 58개와 단어 836개가 있습니다. 말하는 구간의 길이는 4:12입니다. 화자는 분당 약 199단어로 빠르게 말하므로 연음과 약하게 발음되는 소리가 많습니다. 단어의 83%가 영어에서 가장 많이 쓰이는 3,000단어에 속합니다. 나머지는 연습 전에 미리 확인해 두세요.

이 영상의 핵심 어휘

영상에서 가장 어려운 단어 14개를 발음, 뜻과 함께 정리했습니다.

단어	발음	뜻
caricature 형용사	/ˈkɛɹɪkət͡ʃʊɚ/	만화, 캐리커처
analogy 명사	/əˈnæləd͡ʒi/	유추
competitor 명사	/kəmˈpɛt.ɪ.tɚ/	경쟁자
ditch 명사	/dɪt͡ʃ/	도랑
interface 명사	/ˈɪn(t)ɚˌfeɪs/	인터페이스
adoption 명사	/əˈdɑp.ʃən/	입양
shortage 명사	/ˈʃɔː(ɹ)tɪd͡ʒ/	부족, 흠손
sigh 동사	/saɪ/	한숨짓다, 한숨을 쉬다
ambitious 형용사	/æmˈbɪʃ.əs/	야심적
investor 명사	/ɪnˈvɛs.tə(ɹ)/	투자자
headline 명사	/ˈhɛd.laɪn/	표제, 헤드라인
stack 명사	/stæk/	무더기
technological 형용사	/ˌtɛk.nəˈlɑ.dʒɪ.kəl/	기술
podcast 명사	/ˈpɑdˌkæst/	팟캐스트

주의할 발음

화자는 didn't, we're, don't 같은 축약형과 약화된 형태를 12번 사용합니다. 들리는 대로 짧게 발음하세요.

“th” 소리: anthropic /ænˈθɹɒp.ɪk/, bequeath /bɪˈkwiːθ/
“sh”와 “zh” 소리: adoption /əˈdɑp.ʃən/, centralization /ˌsɛntɹələˈzeɪʃən/, inertia /ɪnˈɝ.ʃə/, disruption /dɪsˈɹʌpʃən/, shortage /ˈʃɔː(ɹ)tɪd͡ʒ/
긴 단어 — 강세 위치에 주의: caricature /ˈkɛɹɪkət͡ʃʊɚ/, analogy /əˈnæləd͡ʒi/, competitor /kəmˈpɛt.ɪ.tɚ/, centralization /ˌsɛntɹələˈzeɪʃən/, technological /ˌtɛk.nəˈlɑ.dʒɪ.kəl/

한국어 화자가 어려워하는 소리:

/v/ — ㅂ(/b/)과 구별하기: veil /veɪl/, investor /ɪnˈvɛs.tə(ɹ)/

이 영상으로 연습하는 방법

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0.75배속으로 한 문장씩 섀도잉을 시작하고, 익숙해지면 보통 속도로 돌아갑니다.
자신의 목소리를 녹음해 원본과 비교하고, caricature, analogy, competitor 같은 단어에 특히 주의합니다.

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쉐도잉 연습: Sam Altman on AI: 'We've not had the iPhone moment' - 영상으로 영어 말하기 배우기

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