跟讀練習: Nvidia's New Laptops - RTX Spark - 通過影片學習英語口語

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So NVIDIA just launched a new laptop chip.

It's called the RTX Spark.

It's a 20 -core ARM -based CPU, and it packs an RTX 5070 GPU that has the same core count as the desktop version.

It goes up to 128 gigs of unified RAM, and it's being used in very thin laptops.

As thin as 14 millimeters, and it still has all -day battery life, and it runs the full NVIDIA stack.

So CUDA, DLSS, ray tracing, all of it.

Now, I've never had any doubt that if NVIDIA wanted to make a laptop they would make a good one, one that's energy efficient, powerful.

There was never any worry.

But what I am worried about is what they want you to use this chip for.

Because if you watch their presentation, the first third of it, or maybe even more, they're talking about agents.

So we got to talk about this because this is the main pitch.

If you know what an LLM is, like a large language model.

So let's start there.

Large language models.

So ChatGPT, Gemini, Claude, things like that.

They are...

like tools that you can type to and they'll type back

or respond back right agents are the next step of

that instead of just responding back to you they can actually do things for you

so as an example you would ask it to like draw an owl

and then make it fly while changing the camera angle

and the agent will go and perform the steps required across your actual apps checking its

intern that lives inside your computer that can do stuff for you.

Now, keep in mind there are pre -existing tools today that can accomplish stuff like this, but they definitely require like a little bit of knowledge

and they're tools that you have to kind of piece together that a typical person wouldn't want to do.

Now, NVIDIA's bet, along with Microsoft, is that this will be the new era of PC and they're calling it exactly that.

The idea is that these agents would run locally on your device because to have a genuinely capable agent,

you would need a fairly large model that's sitting inside fairly fast RAM.

And like a regular laptop can't do that.

Not even a gaming laptop, because there's not enough of that super fast RAM in gaming laptops.

So a MacBook Pro could technically do because you can get up to 128 gigs of unified RAM there.

Same with an AMD Strix Halo laptop that has a lot of unified RAM memory, but neither of those two devices have access to the CUDA software stack.

every AI tool and framework and model is built on and optimized for first.

So the Arctic Spark with its 128 gigs of unified memory has access to this

CUDA stack it's great it's like purpose built for this vision however this is where things get a little shaky

because if you think about it this is not nvidia's mountain to climb it's actually microsoft

because they're the company that has to build

and implement the part of windows

that the agents would live in like this is baked into

the operating system would run from your taskbar it needs access

to your files your apps it has to have a lot of access to your system and if you

from the system because they find it too obtrusive.

Can you imagine like co -pilot extreme?

This thing would need more control, more access, and just more, it's more capable, right?

So it has to have the ability to do all of these things.

And I don't know if we're in the position where we actually entrust a company like Microsoft

to have that kind of control, but it would need it to pull this off.

Now, if they nail it, it would be incredible, genuinely incredible, because now your computer could do the multi -step tasks that we find boring and time consuming.

But at the same time, I also can't imagine Microsoft making a tool that's powerful like that, but wouldn't be obtrusive somehow, but we'll see.

The second thing that the Artex Spark chip is supposed to be good at is with creative work.

So it is a 5070 with a lot of RAM, and Adobe apparently has new architecture for Premiere and Photoshop, engineered specifically around this chip, which is kind of cool, but we'll have to see what that's all about.

Now the third thing is gaming, and to be clear, it is the third thing, because if you look at the list of laptops, these are not gaming laptops.

You got like Lenovo laptops that can also game,

but NVIDIA is throwing some pretty interesting numbers out there.

We will have to test all this stuff down the line.

It might even be great for gaming.

Now, in terms of where I stand on the whole RTX part, I think the hardware is very interesting.

I think that pricing, if you actually are interested in this thing, the pricing is not revealed yet,

but I imagine we should brace for it to be quite expensive because just the market is that way right now.

The other thing, Like forget about the technical element of it.

That's already extremely difficult. But even

if they could pull it off the kind of social acceptance of having a tool like this baked into your operating system, that's a huge ask.

I think in this day and age, if that thing was available today, I don't know if I would want that on my system.

Like it's neat.

But when I've kind of piece together myself and I know exactly where everything is, like that feels a little bit more comfortable.

But if this is built into the operating system and it can do stuff, it's a little bit more comfortable

when you're not even there i don't know it's it is strange um

if there was one company though if there was one company

that has the kind of clout and reputation

and just size to pull it off as a partner it

would be nvidia they're super rich they have a ton of

connections with multiple industries ai gaming like productivity workflows like

so much stuff stems around nvidia

so maybe they could pull it off who knows what do you think is this something

that you would if you think about given, is it something that you would actually use and /or want on your system?

Okay, hope you guys enjoyed this video.

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關於本課

在本課中，學習者將通過觀看Nvidia新款筆記型電腦的影片，對英語口語進行實踐，特別是針對技術描述和創新功能的表達。此次內容結合了很多現代科技詞彙和短語，非常適合進行雅思口語練習。通過對影片的反覆觀看和模仿，學習者可以提高自己的英語口語能力，尤其是在與科技相關的話題上，幫助他們在看YouTube學英語的過程中更加自信。

關鍵詞彙及短語

晶片 (chip)
圖形處理單元 (GPU)
統一記憶體 (unified RAM)
多步驟任務 (multi-step tasks)
大型語言模型 (large language model)
本地執行 (run locally)
訪問檔案 (access files)
創新時代 (new era)

實踐建議

在進行英語口語練習時，建議學習者使用shadow speak的技巧，即模仿影片中的語音和語調。由於影片的速度相對較快，您可以先暫停每一段話，以便更好地理解和跟隨。如下是具體的實踐步驟：

嘗試將影片中的句子逐字重複，確保你的發音和語調儘可能貼近原影片的風格。
集中在表達的節奏和情感上，尤其是在介紹技術功能時，注意語速和重音的變化。
在每次重複練習後，可以自我錄音，隨後與影片中的原聲對比，尋找改進空間。
定期觀看並練習，您會發現自己的口語能力和自信心會有顯著提升，尤其是在涉及專業術語和新技術時。
不妨在社交媒體上分享您的學習過程，與其他正在進行英語口語練習的學習者交流，增加互動與反饋。

影片中的語法

說話人最常用的結構，並附上影片中的原話：

結構	影片中的用法
條件句 if + 從句，will/would + 動詞 — 條件及其結果	if they nail it, it would be
被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的	is built · is baked · is not revealed

什麼是跟讀法？

跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。

影子跟讀法: 閱讀完整分步指南 →

跟讀練習: Nvidia's New Laptops - RTX Spark - 通過影片學習英語口語

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關於本課

關鍵詞彙及短語

實踐建議

影片中的語法

什麼是跟讀法？