Практика Shadowing: "재무 모델에도 부담" 저커버그가 털어놓은 메타 AI 올인의 대가 - Изучайте разговорный английский по видео

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and i think that that it's both difficult for the people doing it
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but i do think that
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that also puts some level of strain on the rest of
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the company on the financial model of the company actually quite puzzling to me at first the degree to
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which you were like willing to make these massive bets is something actually nat
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and i would often like talk about i was like wow we're really going big here like
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and both of us would be like would you go
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this big would you go this big you know
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we're taking our compute we're not like peanut buttering across a lot of competing efforts we're basically
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Basically, we're investing in the key people, like a lot of compute per researcher, and then they can do their work.
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It was an MSL.
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He told me to find the message to the king's first message.
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He told me to talk about the time, and he told me to talk about it at 44 minutes.
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That's the next story.
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This was like the core of your strategy, right?
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It's basically like you actually don't need a massive number of people.
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But what you do need is for like each of the people to be as good as possible,
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which kind of informed this kind of crazy recruiting push and like very intense filtering that we had to take,
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you know, some of the best people from inside meta and a very intense process to get people from outside meta.
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The people of the company are working as a start -up company as a big company.
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The online learning team asked how big is the question.
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The answer is how big is a pre -training team?
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It doesn't need to be that big, but I think if you look at some of the other labs,
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it's probably quite big in some other places.
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So I think part of the reason why these models are doing well is because you have people who we're betting on,
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and they have a lot of resources because we're...
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That's what I'm going to say in front of you.
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I'm going to compete with each other team.
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I'm going to compete with each other.
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I'm going to compete with each other.
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I'm going to compete with each other.
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I'm going to compete with each other.
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I'm going to compete with each other.
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I'm going to compete with each other.
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I'm going to compete with each other.
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I'm going to compete with each other.
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I'm going to compete with each other.
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I'm going to compete with each other.
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I'm going to compete with each other.
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In general, one of the, one of the bigger challenges of scaling bigger models is it's not just about how many flops
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and how much compute you want to be able to scale data with the data.
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I mean, this is like part of what when the original kind of scaling laws for pre -training were written.
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I mean, this is sort of what came out of that is that.
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So if the internet isn't growing that quickly and you want to scale bigger models that can be more intelligent,
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I think one of the interesting problems is, all right, where's the data coming from?
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Yes.
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So, I don't know.
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I think maybe when we got started, a lot of people were like, OK, like, how is this going to work?
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It's like the kind of like the social media guy is working with the like data guy.
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Like, is that like, are we going to build a frontier lab here or what?
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But but I mean, but my but I mean, my like really strong conviction, because I talk to like all the leaders of all the labs,
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like all the heads of research, like all this stuff.
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And I was like, no, Alex is the guy.
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Like, he's the fucking guy.
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And we're going to basically be able to go pull together a team
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and recruit the people that we need to go do this.
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Jokerberg은 연구소를 이끌 사람에게 필요한 건 최신 학습기법의 전문성보다 환이 바뀔 때마다 생각을 빠르게 고치는 창업가의 기질이라고 말했습니다.
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그런데 왕이 메타에 와서 처음 마주한 분위기는 달랐습니다.
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이번엔 왕, 본인의 이야기입니다.
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when i joined um i was in this it was in this um
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you know meeting with some of the leads of the existing effort
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and uh i was like okay i think the first thing
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we need to do is train a really good reasoning model um by um
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you know by some time frame i don't know when uh
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but this is like clearly like the most important milestone
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and um one of the the key leads in the group um who no
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But it was like, oh, we don't need a reasoning model.
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Does any, or any of our, do our consumers need a reasoning model?
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Like, I feel like we don't need to do a reasoning model.
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We can just do a normal model.
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And I was, I had like this heart sinking moment.
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Oh no, I've joined the wrong company.
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I was like, oh, I've got to take like 10 steps back.
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And I think...
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The model model is a model model in the summer of the year's open -up.
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The model model is a model model.
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The model model is a model model model and the other leaders were able to change the AI.
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The Instagram leader of Adam Moseri, made a small app in Instagram.
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Collis told him that he could use a new idea that he could use a new idea.
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The idea of this idea is that it's different.
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Obviously, you can't...
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A lot of what we had to do here was rotate a lot of the rest of the company and,
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like, for things like the infrastructure team that now, you know, it's like building these huge clusters to support this,
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I mean, that's obviously a huge thing.
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So, huge parts of the company kind of had to pivot to do this,
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and obviously you can't do too many of those at the same time, right?
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Only one thing can be the top priority.
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Yes, yes.
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So, how do you handle that burden?
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He ended up with a single product, commerce, and commercial sales.
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It's been a big deal for years to come.
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Рекомендуемое видео

Лексика и советы по произношению к этому уроку

Этот урок разговорной практики построен на видео «"재무 모델에도 부담" 저커버그가 털어놓은 메타 AI 올인의 대가». Чаще всего повторяются слова: model, compete, reasoning. В этом видео 89 предложений и 1033 слов для шедоуинга. Речь длится 8:30. Говорящий держит ровный темп — около 121 слов в минуту, удобный для шедоуинга. 86% 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:

СловоПроизношениеЗначение
compete глагол/kəmˈpiːt/соревнова́ться, состяза́ться
intense прилагательное/ɪnˈtɛns/си́льный, интенси́вный
recruit глагол/ɹɪˈkɹut/вербова́ть, завербова́ть
infrastructure существительное/ˈɪnfɹəˌstɹʌkt͡ʃə/инфраструкту́ра
priority существительное/pɹaɪˈɒɹɪti/приорите́т
butter существительное/ˈbʌtɚ/ма́сло, сли́вочное ма́сло
resource существительное/ɹɪˈzɔːs/ресу́рс, запа́с
commerce существительное/ˈkɑ.mɚs/торго́вля, комме́рция
invest глагол/ɪnˈvɛst/вкла́дывать, вложи́ть
intelligent прилагательное/ɪnˈtɛlɪd͡ʒənt/у́мный, разу́мный
filter существительное/ˈfɪltɚ/фильтр
burden существительное/ˈbɝdn̩/но́ша, груз
sink глагол/ˈsɪŋk/тону́ть, утону́ть
inform глагол/ɪnˈfɔɹm/сообща́ть, сообщи́ть
strain существительное/stɹeɪn/род, поро́да

Фразовые глаголы, которые вы услышите

СловоПроизношениеЗначение
start up глагол/stɑɹˈtʌp/вывалиться, взя́ться

Фразы, которые стоит повторять

Короткие законченные фразы из видео, которые пригодятся в повседневном разговоре:

  • I'm going to compete with each other team.
  • I'm going to compete with each other.
  • I mean, that's obviously a huge thing.

Произношение, на которое стоит обратить внимание

Говорящий использует 32 сокращённых и редуцированных форм, например I'm, we're, don't. Произносите их коротко, так, как слышите.

  • Длинные слова — следите за ударением: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, priority /pɹaɪˈɒɹɪti/, intelligent /ɪnˈtɛlɪd͡ʒənt/

Как заниматься с этим видео

  1. Прослушайте всё видео один раз молча и выпишите незнакомые слова.
  2. Повторяйте предложение за предложением на обычной скорости, пока ваш ритм не совпадёт с ритмом говорящего.
  3. Запишите себя и сравните с оригиналом, обращая внимание на такие слова, как compete, intense, recruit.

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 →