Shadowing Practice: "재무 모델에도 부담" 저커버그가 털어놓은 메타 AI 올인의 대가 - Learn English Speaking with Video

Elige un modo de práctica

Cada modo abre una sala de práctica a pantalla completa.

96 oraciones

Si las oraciones son demasiado cortas o largas, haz clic en Editar para ajustarlas.

and i think that that it's both difficult for the people doing it

but i do think that

that also puts some level of strain on the rest of

the company on the financial model of the company actually quite puzzling to me at first the degree to

which you were like willing to make these massive bets is something actually nat

and i would often like talk about i was like wow we're really going big here like

and both of us would be like would you go

this big would you go this big you know

we're taking our compute we're not like peanut buttering across a lot of competing efforts we're basically

Basically, we're investing in the key people, like a lot of compute per researcher, and then they can do their work.

It was an MSL.

He told me to find the message to the king's first message.

He told me to talk about the time, and he told me to talk about it at 44 minutes.

That's the next story.

This was like the core of your strategy, right?

It's basically like you actually don't need a massive number of people.

But what you do need is for like each of the people to be as good as possible,

which kind of informed this kind of crazy recruiting push and like very intense filtering that we had to take,

you know, some of the best people from inside meta and a very intense process to get people from outside meta.

The people of the company are working as a start -up company as a big company.

The online learning team asked how big is the question.

The answer is how big is a pre -training team?

It doesn't need to be that big, but I think if you look at some of the other labs,

it's probably quite big in some other places.

So I think part of the reason why these models are doing well is because you have people who we're betting on,

and they have a lot of resources because we're...

That's what I'm going to say in front of you.

I'm going to compete with each other team.

I'm going to compete with each other.

In general, one of the, one of the bigger challenges of scaling bigger models is it's not just about how many flops

and how much compute you want to be able to scale data with the data.

I mean, this is like part of what when the original kind of scaling laws for pre -training were written.

I mean, this is sort of what came out of that is that.

So if the internet isn't growing that quickly and you want to scale bigger models that can be more intelligent,

I think one of the interesting problems is, all right, where's the data coming from?

Yes.

So, I don't know.

I think maybe when we got started, a lot of people were like, OK, like, how is this going to work?

It's like the kind of like the social media guy is working with the like data guy.

Like, is that like, are we going to build a frontier lab here or what?

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,

like all the heads of research, like all this stuff.

And I was like, no, Alex is the guy.

Like, he's the fucking guy.

And we're going to basically be able to go pull together a team

and recruit the people that we need to go do this.

Jokerberg은 연구소를 이끌 사람에게 필요한 건 최신 학습기법의 전문성보다 환이 바뀔 때마다 생각을 빠르게 고치는 창업가의 기질이라고 말했습니다.

그런데 왕이 메타에 와서 처음 마주한 분위기는 달랐습니다.

이번엔 왕, 본인의 이야기입니다.

when i joined um i was in this it was in this um

you know meeting with some of the leads of the existing effort

and uh i was like okay i think the first thing

we need to do is train a really good reasoning model um by um

you know by some time frame i don't know when uh

but this is like clearly like the most important milestone

and um one of the the key leads in the group um who no

But it was like, oh, we don't need a reasoning model.

Does any, or any of our, do our consumers need a reasoning model?

Like, I feel like we don't need to do a reasoning model.

We can just do a normal model.

And I was, I had like this heart sinking moment.

Oh no, I've joined the wrong company.

I was like, oh, I've got to take like 10 steps back.

And I think...

The model model is a model model in the summer of the year's open -up.

The model model is a model model.

The model model is a model model model and the other leaders were able to change the AI.

The Instagram leader of Adam Moseri, made a small app in Instagram.

Collis told him that he could use a new idea that he could use a new idea.

The idea of this idea is that it's different.

Obviously, you can't...

A lot of what we had to do here was rotate a lot of the rest of the company and,

like, for things like the infrastructure team that now, you know, it's like building these huge clusters to support this,

I mean, that's obviously a huge thing.

So, huge parts of the company kind of had to pivot to do this,

and obviously you can't do too many of those at the same time, right?

Only one thing can be the top priority.

Yes, yes.

So, how do you handle that burden?

He ended up with a single product, commerce, and commercial sales.

It's been a big deal for years to come.

1, 2, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 10, 9, 10, 10,

11, 11, 11, 11, 12, 12, 13, 13, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 15, 14,

14, 15, 14, 15, 14, 15, 15, 15, 15, 15, 16, 15, 16, 16, 16, 17, 17, 17, 17, 17, 17, 17, 17, 18, 18,

18, 18, 19, 18, 19, 18, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19,

19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19

Descargar app

Todo lo que necesitas para hablar con fluidez

Pronunciación con IAEvalúa cada oración

Práctica de IPADomina cada sonido

VocabularioConstruye tu banco de palabras

Juego de vocabularioAprende mientras juegas

Escanea el QR

Download on theApp Store Get it onGoogle Play

FOR YOU

Recomendar Video

182 oraciones

How Disruptive Will Generative AI Be? A Micro-Level Analysis of Evidence and Expectations

Daily ConversationUniversity StudentsWorking Adults

Vocabulario y notas de pronunciación para esta lección

Esta lección de conversación se basa en el vídeo “"재무 모델에도 부담" 저커버그가 털어놓은 메타 AI 올인의 대가”. Las palabras que más se repiten: model, compete, reasoning. Este vídeo tiene 89 frases y 1033 palabras para practicar shadowing. La parte hablada dura 8:30. El hablante mantiene un ritmo constante de unas 121 palabras por minuto, cómodo para el shadowing. El 86 % de las palabras está entre las 3.000 más comunes del inglés; conviene repasar el resto antes de empezar.

Vocabulario clave de este vídeo

15 palabras del vídeo que vale la pena aprender, con su pronunciación y significado:

Palabra	Pronunciación	Significado
compete verbo	/kəmˈpiːt/	competir, competer (disused)
intense adjetivo	/ɪnˈtɛns/	intenso
recruit verbo	/ɹɪˈkɹut/	reclutar
meta adjetivo	/ˈmɛtə/	metaconceptual
infrastructure sustantivo	/ˈɪnfɹəˌstɹʌkt͡ʃə/	infraestructura
priority sustantivo	/pɹaɪˈɒɹɪti/	prioridad
butter sustantivo	/ˈbʌtɚ/	mantequilla, manteca
resource sustantivo	/ɹɪˈzɔːs/	recurso
commerce sustantivo	/ˈkɑ.mɚs/	comercio
invest verbo	/ɪnˈvɛst/	invertir, insumir
intelligent adjetivo	/ɪnˈtɛlɪd͡ʒənt/	inteligente
filter sustantivo	/ˈfɪltɚ/	filtro
burden sustantivo	/ˈbɝdn̩/	carga, lastre
sink verbo	/ˈsɪŋk/	hundir, afondar
inform verbo	/ɪnˈfɔɹm/	informar, enterar

Phrasal verbs que vas a escuchar

Palabra	Pronunciación	Significado
start up verbo	/stɑɹˈtʌp/	encender, acender

Frases que vale la pena repetir

Frases cortas y completas del vídeo que puedes reutilizar en la conversación diaria:

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.

Pronunciación a tener en cuenta

El hablante usa 32 contracciones y formas reducidas, como I'm, we're, don't. Dilas en su forma corta, tal como las oyes.

Palabras largas — cuida el acento: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, priority /pɹaɪˈɒɹɪti/, intelligent /ɪnˈtɛlɪd͡ʒənt/

Sonidos difíciles para hispanohablantes:

/v/ — no es /b/: los dientes tocan el labio inferior: invest /ɪnˈvɛst/, conviction /kənˈvɪkʃən/, pivot /ˈpɪv.ɪt/
/z/ — sonora, no /s/: resource /ɹɪˈzɔːs/, puzzle /ˈpʌzəl/

Cómo practicar con este vídeo

Escucha el vídeo entero una vez sin hablar y anota las palabras que no conoces.
Haz shadowing frase por frase a velocidad normal, repitiendo cada una hasta que tu ritmo coincida con el del hablante.
Grábate y compara con el original, prestando atención a palabras como compete, intense, recruit.

¿Qué es la Técnica de Shadowing?

Shadowing es una técnica de aprendizaje de idiomas respaldada por la ciencia, desarrollada originalmente para la formación de intérpretes profesionales y popularizada por el políglota Dr. Alexander Arguelles. El método es simple pero poderoso: escuchas audio en inglés nativo y lo repites en voz alta de inmediato, como una sombra que sigue al hablante con solo 1-2 segundos de retraso. A diferencia de la escucha pasiva o los ejercicios de gramática, el shadowing obliga a tu cerebro y músculos de la boca a procesar y reproducir simultáneamente patrones de habla reales. Las investigaciones muestran que mejora significativamente la precisión de la pronunciación, la entonación, el ritmo, el habla conectada, la comprensión auditiva y la fluidez al hablar, convirtiéndola en una de las metodologías más efectivas para la preparación del IELTS Speaking y la comunicación en inglés en el mundo real.

Técnica de shadowing: lee la guía completa paso a paso →

Shadowing Practice: "재무 모델에도 부담" 저커버그가 털어놓은 메타 AI 올인의 대가 - Learn English Speaking with Video

Elige un modo de práctica

Descargar app

We Let $200 GPT-Pro Think for 7 Days on Unsolved Math

The Only SaaS Moats Left in 2026

They JUST Accidentally Revealed the Truth: The AI Bubble

Sec Growth DataScience staff meeting Sep 14 2022

Go’s Big Mistake

How AI deprives young Singaporeans of jobs and critical thinking | Deep Dive

I Looked Into How Devs Are Actually Using AI

Mark Zuckerberg: “Alex, are you sure this is going to work?”

Rethinking Claude Code Best Practices — Lydia Hallie, Anthropic

What Is Jev? The AI Model That Doesn't Generate Text

When AIs act emotional