シャドーイング練習: Nvidia's New Laptops - RTX Spark - 動画で英語スピーキングを学ぶ

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So NVIDIA just launched a new laptop chip.
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It's called the RTX Spark.
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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.
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It goes up to 128 gigs of unified RAM, and it's being used in very thin laptops.
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As thin as 14 millimeters, and it still has all -day battery life, and it runs the full NVIDIA stack.
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So CUDA, DLSS, ray tracing, all of it.
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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.
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There was never any worry.
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But what I am worried about is what they want you to use this chip for.
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Because if you watch their presentation, the first third of it, or maybe even more, they're talking about agents.
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So we got to talk about this because this is the main pitch.
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If you know what an LLM is, like a large language model.
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So let's start there.
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Large language models.
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So ChatGPT, Gemini, Claude, things like that.
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They are...
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like tools that you can type to and they'll type back
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or respond back right agents are the next step of
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that instead of just responding back to you they can actually do things for you
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so as an example you would ask it to like draw an owl
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and then make it fly while changing the camera angle
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and the agent will go and perform the steps required across your actual apps checking its
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intern that lives inside your computer that can do stuff for you.
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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
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and they're tools that you have to kind of piece together that a typical person wouldn't want to do.
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Now, NVIDIA's bet, along with Microsoft, is that this will be the new era of PC and they're calling it exactly that.
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The idea is that these agents would run locally on your device because to have a genuinely capable agent,
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you would need a fairly large model that's sitting inside fairly fast RAM.
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And like a regular laptop can't do that.
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Not even a gaming laptop, because there's not enough of that super fast RAM in gaming laptops.
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So a MacBook Pro could technically do because you can get up to 128 gigs of unified RAM there.
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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.
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every AI tool and framework and model is built on and optimized for first.
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So the Arctic Spark with its 128 gigs of unified memory has access to this
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CUDA stack it's great it's like purpose built for this vision however this is where things get a little shaky
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because if you think about it this is not nvidia's mountain to climb it's actually microsoft
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because they're the company that has to build
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and implement the part of windows
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that the agents would live in like this is baked into
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the operating system would run from your taskbar it needs access
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to your files your apps it has to have a lot of access to your system and if you
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from the system because they find it too obtrusive.
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Can you imagine like co -pilot extreme?
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This thing would need more control, more access, and just more, it's more capable, right?
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So it has to have the ability to do all of these things.
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And I don't know if we're in the position where we actually entrust a company like Microsoft
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to have that kind of control, but it would need it to pull this off.
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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.
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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.
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The second thing that the Artex Spark chip is supposed to be good at is with creative work.
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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.
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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.
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You got like Lenovo laptops that can also game,
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but NVIDIA is throwing some pretty interesting numbers out there.
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We will have to test all this stuff down the line.
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It might even be great for gaming.
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Now, in terms of where I stand on the whole RTX part, I think the hardware is very interesting.
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I think that pricing, if you actually are interested in this thing, the pricing is not revealed yet,
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but I imagine we should brace for it to be quite expensive because just the market is that way right now.
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The other thing, Like forget about the technical element of it.
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That's already extremely difficult. But even
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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.
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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.
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Like it's neat.
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But when I've kind of piece together myself and I know exactly where everything is, like that feels a little bit more comfortable.
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But if this is built into the operating system and it can do stuff, it's a little bit more comfortable
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when you're not even there i don't know it's it is strange um
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if there was one company though if there was one company
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that has the kind of clout and reputation
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and just size to pull it off as a partner it
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would be nvidia they're super rich they have a ton of
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connections with multiple industries ai gaming like productivity workflows like
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so much stuff stems around nvidia
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so maybe they could pull it off who knows what do you think is this something
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that you would if you think about given, is it something that you would actually use and /or want on your system?
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Okay, hope you guys enjoyed this video.

コンテキストと背景

NVIDIAは新しいノートパソチップ「RTX Spark」を発表しました。このチップは、20コアのARMベースのCPUと、デスクトップバージョンと同じコア数を持つRTX 5070 GPUを搭載しています。また、最大128GBの統合RAMを搭載しており、非常に薄型のノートパソコンでも使用可能です。これにより、驚異的なバッテリー持続時間と、CUDAやDLSS、レイトレーシングなどのフルNVIDIAスタックを活用できるのです。この新技術の主要な利用方法としては、大規模な言語モデル（LLM）を活用したエージェント機能が挙げられています。

日常コミュニケーションのためのトップ5フレーズ

  • 「エージェントを使って、作業を自動化することができます。」
  • 「新しい技術が我々の日常を変える可能性があります。」
  • 「このチップは、クリエイティブな作業に特に適しています。」
  • 「多段階のタスクを実行できるコンピュータを実現するかもしれません。」
  • 「エージェントは、ユーザーの指示に応じて動作します。」

ステップバイステップのシャドウイングガイド

このビデオの内容は、技術に関する話題ですが、特に「エージェント」や「多段階のタスク」など、日常会話でも使えるフレーズが含まれています。以下のステップを参考にして、シャドースピーチを取り入れ、英語スキルを高めましょう。

  1. ビデオを観る: 初めに、ビデオ全体を鑑賞し、内容を把握します。重要なポイントやフレーズに注目してください。
  2. 繰り返しシャドウイング: 聞き取ったフレーズを何度も繰り返して発音します。「shadow speech」の練習として、発音やイントネーションに注力しましょう。
  3. フレーズを使った会話: 上記のフレーズを使って、自己紹介や意見を述べる練習をします。お友達や言語パートナーと一緒に練習するのも効果的です。
  4. 録音と再生: 自分の声を録音し、実際のビデオと比較します。発音や流暢さをチェックし、改善点を見つけましょう。
  5. 継続的な練習: 定期的にYouTubeで英語学習を行い、新しいフレーズや語彙を常に取り入れていきましょう。

この「シャドウスピーチ」技法を通じて、あなたの英語力は確実に向上します。特にIELTSスピーキング対策にも役立つので、ぜひ挑戦してみてください。

シャドーイングとは？英語上達に効果的な理由

シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。