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

Bir pratik modu seçin

Her mod tam ekran bir pratik odası açar.

96 cümleler

Cümleler çok kısa veya çok uzun ise, ayarlamak için Düzenle'ye tıklayın.

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.

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Uygulamayı İndir

Akıcı konuşmak için ihtiyacınız olan her şey

AI TelaffuzHer cümleyi puanla

IPA AlıştırmasıHer sesi ustalaştır

Kelime BilgisiKelime bankanızı oluşturun

Kelime OyunuOynarken öğrenin

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

Daily ConversationUniversity StudentsWorking Adults

Bu dersin kelimeleri ve konuşma notları

Bu konuşma dersi “"재무 모델에도 부담" 저커버그가 털어놓은 메타 AI 올인의 대가” videosuna dayanıyor. En çok tekrarlanan kelimeler: model, compete, reasoning. Bu videoda gölgeleme çalışması için 89 cümle ve 1033 kelime var. Konuşma bölümü 8:30 sürüyor. Konuşmacı dakikada yaklaşık 121 kelimelik dengeli bir hızla konuşuyor; gölgeleme için rahat bir tempo. Kelimelerin %86’i İngilizcede en sık kullanılan 3.000 kelime arasında; geri kalanına başlamadan önce bakmakta fayda var.

Bu videodaki önemli kelimeler

Videodan öğrenmeye değer 15 kelime, telaffuzu ve anlamıyla:

Kelime	Telaffuz	Anlam
compete fiil	/kəmˈpiːt/	boy ölçüşmek, yarışmak
infrastructure isim	/ˈɪnfɹəˌstɹʌkt͡ʃə/	altyapı, enfrastrüktür
priority isim	/pɹaɪˈɒɹɪti/	öncelik
butter isim	/ˈbʌtɚ/	tereyağı, yağ
resource isim	/ɹɪˈzɔːs/	kaynak
commerce isim	/ˈkɑ.mɚs/	ticaret
intelligent sıfat	/ɪnˈtɛlɪd͡ʒənt/	akıllı
filter isim	/ˈfɪltɚ/	filtre
burden isim	/ˈbɝdn̩/	yük
sink fiil	/ˈsɪŋk/	batmak
inform fiil	/ɪnˈfɔɹm/	bilgi vermek, bildirmek
cluster isim	/ˈklʌstɚ/	salkım
puzzle isim	/ˈpʌzəl/	bulmaca, muamma
researcher isim	/ˈɹiˌsɝ.t͡ʃɚ/	araştırmacı, araştırıcı
peanut isim	/ˈpiˌnʌt/	yer fıstığı, araşit

Tekrar etmeye değer cümleler

Videodan, günlük konuşmada yeniden kullanabileceğiniz kısa ve tam cümleler:

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.

Dikkat edilecek telaffuzlar

Konuşmacı I'm, we're, don't gibi kısaltılmış biçimleri 32 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.

Uzun kelimeler — vurguyu doğru yere koyun: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, priority /pɹaɪˈɒɹɪti/, intelligent /ɪnˈtɛlɪd͡ʒənt/

Türkçe konuşanların zorlandığı sesler:

Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: priority /pɹaɪˈɒɹɪti/, strain /stɹeɪn/, cluster /ˈklʌstɚ/, frontier /ˈfɹʌntɪə/, flop /flɑp/

Bu videoyla nasıl çalışılır

Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
Normal hızda cümle cümle tekrar edin; ritminiz konuşmacıyla aynı olana kadar her cümleyi yineleyin.
Kendinizi kaydedin ve orijinaliyle karşılaştırın; compete, infrastructure, priority gibi kelimelere özellikle dikkat edin.

Gölgeleme Tekniği Nedir?

Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.

Shadowing tekniği: adım adım eksiksiz rehberi okuyun →

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

Bir pratik modu seçin

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