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Mark Zuckerberg – AI Will Write Most Meta Code in 18 Months – YouTube Dictation Transcript & Vocabulary

En iyi YouTube dikte sitesi FluentDictation'a hoş geldiniz. Etkileşimli transkript ve gölge okuma araçlarımızla C1 seviyesindeki videoyu ustalaşın. "Mark Zuckerberg – AI Will Write Most Meta Code in 18 Months" parçalara ayrıldı; dikte çalışmaları ve telaffuz geliştirme için idealdir. İşaretli transkriptleri okuyun, anahtar kelimeleri öğrenin ve dinleme becerinizi geliştirin. 👉 Dikte Alıştırmasına Başla

YouTube dikte aracımızı kullanarak İngilizce dinleme ve yazma becerilerini geliştiren binlerce kişiye katılın.

📺 Click to play this educational video. Best viewed with captions enabled for dictation practice.

Etkileşimli Transkript & Vurgular

1.Mark, thanks for coming on the podcast again

2.Yeah, happy to do it

3.Good to see you

4.You too

5.Last time you were here, you had  launched Llama 3

💡 Tap the highlighted words to see definitions and examples

Ana Kelimeler (CEFR C1)

trillions

B1

A statistic formed by a player playing some number of minutes, but recording no stats.

Example:

"Even if you can increase productivity without  replacing work, that's still worth tens of   trillions of dollars. Is it possible that ads  might not be it? How do you think about this? "

developed

B1

To change with a specific direction, progress.

Example:

"an important part of how AI gets developed. But I  think there are still… One way to think about it  "

benchmarking

B2

To measure the performance or quality of (an item) relative to another similar item in an impartial scientific manner.

Example:

"challenge around how you do benchmarking. How do  you know what models are good for which things? "

attributes

B1

A characteristic or quality of a thing.

Example:

"latency and good intelligence per cost are much  more important product attributes. If you're  "

directions

B1

A theoretical line (physically or mentally) followed from a point of origin or towards a destination. May be relative (e.g. up, left, outbound, dorsal), geographical (e.g. north), rotational (e.g. clockwise), or with respect to an object or location (e.g. toward Boston).

Example:

"I think both of these are going to end up  being important directions. I’m optimistic  "

challenge

B1

A confrontation; a dare.

Example:

"challenge around how you do benchmarking. How do  you know what models are good for which things? "

personally

B1

In a personal manner.

Example:

"the first to ASI. What do you make of that? I personally think that's pretty compelling.  "

enterprise

B1

A company, business, organization, or other purposeful endeavor.

Example:

"That's why we have a big coding  effort too. We're working on   a number of coding agents inside Meta. Because  we're not really an enterprise software company,  "

optimization

B2

The design and operation of a system or process to make it as good as possible in some defined sense.

Example:

"optimization function that serves everyone as  best as possible. There are going to be a bunch  "

enterprise-focused

B2

A B2-level word commonly used in this context.

Example:

"of different labs doing leading work in different  domains. Some will be more enterprise-focused or   coding-focused. Some will be more  productivity-focused. Some will be  "

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Dikte için Dilbilgisi & Telaffuz İpuçları

1

Chunking

Anlamayı kolaylaştırmak için konuşmacının cümle gruplarından sonra duraklamasına dikkat edin.

2

Linking

Kelimeler birleşirken bağlantılara kulak verin.

3

Intonation

Önemli bilgileri vurgulamak için tonlamadaki değişiklikleri takip edin.

Video Zorluk Analizi & İstatistikler

Kategori
science-&-technology
CEFR Düzeyi
C1
Süre
4549
Toplam Kelime
11582
Toplam Cümle
533
Ortalama Cümle Uzunluğu
22 kelime

İndirilebilir Dikte Kaynakları

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