Pratique du Shadowing: "재무 모델에도 부담" 저커버그가 털어놓은 메타 AI 올인의 대가 - Apprendre l'anglais à l'oral avec la vidéo

Choisissez un mode d'entraînement

Chaque mode ouvre une salle d'entraînement en plein écran.

96 phrases

Si les phrases sont trop courtes ou trop longues, cliquez sur Edit pour les ajuster.

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

Télécharger l'application

Tout pour parler couramment

Prononciation IAChaque phrase notée

Phonétique (IPA)Maîtrisez chaque son

VocabulaireEnrichissez votre lexique

Jeu de vocabulaireApprenez en jouant

Scanner le QR

Download on theApp Store Get it onGoogle Play

FOR YOU

Vidéo recommandée

182 phrases

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

Daily ConversationUniversity StudentsWorking Adults

Vocabulaire et conseils d’expression pour cette leçon

Cette leçon d’expression orale s’appuie sur la vidéo « "재무 모델에도 부담" 저커버그가 털어놓은 메타 AI 올인의 대가 ». Les mots qui reviennent le plus souvent : model, compete, reasoning. Cette vidéo contient 89 phrases et 1033 mots à répéter en shadowing. La partie parlée dure 8:30. Le locuteur parle à un rythme régulier d’environ 121 mots par minute, confortable pour le shadowing. 86 % des mots font partie des 3 000 mots les plus courants en anglais ; le reste mérite d’être vu avant de commencer.

Vocabulaire clé de cette vidéo

15 mots de la vidéo à retenir, avec leur prononciation et leur sens :

Mot	Prononciation	Sens
compete verbe	/kəmˈpiːt/	rivaliser, concourir
recruit verbe	/ɹɪˈkɹut/	recruter, enrôler
meta adjectif	/ˈmɛtə/	méta
infrastructure nom	/ˈɪnfɹəˌstɹʌkt͡ʃə/	infrastructure
priority nom	/pɹaɪˈɒɹɪti/	priorité
butter nom	/ˈbʌtɚ/	beurre
resource nom	/ɹɪˈzɔːs/	ressource
commerce nom	/ˈkɑ.mɚs/	commerce
invest verbe	/ɪnˈvɛst/	investir, consacrer
intelligent adjectif	/ɪnˈtɛlɪd͡ʒənt/	intelligent
filter nom	/ˈfɪltɚ/	filtre
burden nom	/ˈbɝdn̩/	charge, fardeau
sink verbe	/ˈsɪŋk/	couler, s'enfoncer
inform verbe	/ɪnˈfɔɹm/	informer, renseigner
strain nom	/stɹeɪn/	race, souche

Les verbes à particule que vous entendrez

Mot	Sens
open up verbe	ouvrir

Des phrases à répéter

Des phrases courtes et complètes de la vidéo, à réutiliser dans la conversation de tous les jours :

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.

Prononciation à surveiller

Le locuteur utilise 32 contractions et formes réduites, comme I'm, we're, don't. Prononcez-les sous leur forme courte, telles que vous les entendez.

Mots longs — placez bien l’accent: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, priority /pɹaɪˈɒɹɪti/, intelligent /ɪnˈtɛlɪd͡ʒənt/

Les sons difficiles pour les francophones :

/tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, intelligent /ɪnˈtɛlɪd͡ʒənt/, researcher /ˈɹiˌsɝ.t͡ʃɚ/
/r/ anglais — langue recourbée, sans frotter la gorge: recruit /ɹɪˈkɹut/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, priority /pɹaɪˈɒɹɪti/, resource /ɹɪˈzɔːs/, inform /ɪnˈfɔɹm/

Comment s’entraîner avec cette vidéo

Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
Répétez phrase par phrase à vitesse normale, en reprenant chacune jusqu’à ce que votre rythme corresponde à celui du locuteur.
Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme compete, recruit, meta.

Qu'est-ce que la technique du Shadowing ?

Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.

Technique du shadowing : lire le guide complet étape par étape →

Pratique du Shadowing: "재무 모델에도 부담" 저커버그가 털어놓은 메타 AI 올인의 대가 - Apprendre l'anglais à l'oral avec la vidéo

Choisissez un mode d'entraînement

Télécharger l'application

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