シャドーイング練習: Claude 2.0 is Insane (All Updates Explained) - 動画で英語スピーキングを学ぶ

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And Tropic just rebuilt the Cloud Code desktop app entirely and launched a bunch of powerful new features like projects, threads, mods, side panels, multitasking,

and more, which can all really improve the way you work with AI.

So in this video, I'll show you every new feature and exactly how to use them.

And I'll explain why you probably want to switch to Cloud Code if you still use CoWork.

Now, if you don't know me yet, I'm Ben.

I'm a three -time founder and now run an AI agency, an AI second brain app,

and one of the largest AI communities for professionals and business owners,

where I teach how to use AI to actually automate work or build an AI business.

So the first thing I want to quickly cover is the new

Cloud Code desktop layout, which got a big improvement.

Now, until recently, I mostly used Cowork because I just preferred the layout and the UI,

but I strongly believe that if you still use Cowork today, you really want to consider switching to the Cloud Code tab because first of all,

they've improved the layout a lot.

Second, it also seems to be the place where Entropic is launching their newest features first.

And third, because some of these new features are really powerful.

It can really improve the way you work with AI.

And for anyone who's hesitant, it's really not only for coders, it's essentially the same tool as Cowork in the back, just with much more functionalities.

For example, Clotcode can work with any file on your computer, it has access to CLIs,

and it has now access to all of these new features that I'll cover in this video.

And I would argue that with this new layout upgrade, it looks a lot less intimidating too.

So starting with the layout upgrades.

Now, one of the big reasons I used to like working in CoWork besides its UI was its site panel,

because it gives you a clear plan of Cloud's to -do list

and all the connector skills and files it uses in every chat.

But now Cloud Code has exactly the same and even more.

So every time

Cloud makes a plan, you now get a to -do list inside of the chat

and you can watch it tick off each task as it progresses.

Next to the chat, you'll also get a new set of cards.

So the environment card, for example, shows you which folder in the chat runs and whether it's a local or a cloud chat.

We also have a remote control switch, which if you turn it on, lets you continue a local chat in the cloud.

So you can keep working on that task from your phone.

The new context card shows how full your chat is

and what's actually taking up space in your context window with a shortcut button to compact your chat. And

that basically means Claude summarizes the chat to free up space every time

it reaches a certain amount of tokens inside of the context window.

So you can keep talking to Claude while it's still at high performance.

Then there's also a connectors card and an outputs card showing every file the chat made or used.

And lastly, you can now sort your chats into sections, which basically allows you to group chats together by category.

To create a section, all you do is you click on the three dots next to any chat, go to move to new section,

name it, and then create the section.

Then you can easily move any chat into that section by just dragging and dropping it.

And for me, this has honestly been amazing to organize my chats because their earlier grouping feature was just not good.

And it always took me ages to find my old chats.

Which brings me to the next feature, which is probably my favorite, the new Cloud Code project or nested sessions, depending on your plan.

Now, Entropic is rolling these new features out slowly, so it might look a little bit different for you.

But projects are now on Pro and Max, and on a team plan, you'll see nested sessions instead.

But the idea is essentially the same.

It essentially allows you to work on larger projects more efficiently.

The idea is simple.

One main chat or project can start other chats inside of it, also called nested sessions.

They can send the messages, they can check their work and report back to you.

So instead of managing five chats yourself, you can talk to one coordinator or orchestrator who runs a small team of agents or sessions for you.

Now, this is really useful if you work on larger projects in Cloud.

For example, when I prepare for YouTube videos, I usually have one chat to IDA on thumbnails and titles,

another chat where I go back and forth figuring out the outline, and another one for the visuals and editing.

Because, of course, there are multiple tasks in this larger project of creating a YouTube video.

Now, the problem with Cloud or the old

Cloud projects was that these different chats had no context on what happened in the other ones.

So even though a change in one of them should affect what happens in the other, it just doesn't know.

It also means you have to switch sessions constantly.

And of course, if you do all of these tasks in one chat,

it gets messy quick and the context window gets overloaded fast and you will lose performance.

So with these new nested sessions or projects, I can just start a new project and talk to the main coordinator or orchestrator agent,

which can spin up multiple threads or nested sessions for each of these tasks.

So one for thumbnails and titles, one for outlines, and one for visuals and editing.

I can then iterate on all of them from the same chat without overloading the coordinator's context window.

I can even still iterate inside of each of the specific sessions too.

Meanwhile, the main coordinator still knows exactly where we are in the process in each of the threads.

So it just makes it a far more efficient way to work on and organize larger tasks you do with AI.

Now you might think, didn't we have sub -agents for this?

But these threads and sessions can still spin up sub -agents on their own.

So essentially with these new projects and nested sessions, we get one extra layer of agents above them, a coordinator or an orchestrator.

And of course you can't iterate directly with sub -agents you which you can do with these threads or nested sessions.

So if you have a bigger project, I highly recommend starting to use this because it's extremely useful in my experience.

Now, if you have access to the new projects, you can just start a new project and it will start spinning up these threads automatically.

And if you're on a team plan and you don't have access to the new projects yet,

you can just open a blank chat and ask it to work on a bigger project.

And Claude will now automatically offer to spin up different threads for you, or you can just tell it to spin up threads.

And whenever you ask for something unrelated in the middle of a chat, it will also offer you to start a new thread,

which is a good habit to have anyway, one chat per task.

Then all of the threads

it spins up show up in a little dropdown underneath your main chat where you can still go in

and iterate with that agent.

Now, there are a couple of differences between projects and nested sessions.

As of today, projects keep a shared memory, so every thread adds to it and draws from it,

while nested sessions get a brief and a prompt from the main chat instead.

And project threads can run in the cloud so they can keep going with your laptop closed, while nested sessions only run locally on your computer.

But Entropic is slowly making projects available for all plans, and we should get them in a couple of weeks.

Now, very quickly, before I show you the next feature, if you enjoy this type of content, you'll really enjoy my AI Accelerator,

where you'll get access to my 30 -day CLOT course

that takes you from beginner to pro in less than one hour a day.

You also get access to a full course on growing an AI business based on everything me

and my team have learned over the last three years unlimited one -on -one live AI consulting with AI experts

and a big library of skills, templates, and resources across all business departments.

So definitely check it out if you want to dive deeper into AI in the second link in the description below.

Now the next new feature is also very useful and it's called side chats.

Now if you've used

Cloud for long tasks you probably know the feeling

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when Cloud is halfway through its to -do list

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but you have a question and you don't want to interrupt or derail Cloud.

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So we now got a fix for this.

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You can now just open up a side chat by clicking on the three dots on the top right

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and then selecting side chat.

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You'll notice that a side chat pops up with its own chat window

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and you can open as many of these side chats as you want.

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Now each side chat can read the whole main chat up to that point so you can ask what it's doing,

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how long it might take or have it review the work so far without adding anything to the main chat.

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Now this is also a great feature

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because you can ask the side chat questions

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that are not entirely related to the main task you're doing and it never ends up in the main context window.

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Now this is sort of a mature version of the slash by the way

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if you're familiar with it which would open up a temporary side chat

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but now these side chats are persistent which means they actually get saved

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and these side chats can even send messages to your main chat.

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I've used this for example when I want the side chat to review the output of the main chat.

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Now the next one is multitasking or split view with cloud code

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which fixes the hassle of hopping between different chats all the time.

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Now with this new split view you can have several chats on one screen at the same time,

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you can simply drag chats from the sidebar into your current chat

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and you should see an option to add a split view.

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Or you can click on the three dots next to any chat in the sidebar, select open in and then select split view.

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Again, really useful so you can work on many tasks at once and multitask between different chats.

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The next one isn't brand new but it's so useful it is still worth covering if you haven't tried it yet, which is Claude's new

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Docs, Slides, Design, Dashboards and Motion features.

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Now, Anthropic is basically building its own Google Docs, Google Slides, a design tool, Looker Studio, plus a video creation tool, all inside of Cloud.

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Now, every output of all of these new features is in what they call an artifact,

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which is sort of like a canvas that allows you to really easily edit and iterate together with the comment feature.

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You can also easily publish them through artifacts as a live page on a link,

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so you can share it with your team or with anyone else who has the link.

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So starting with dashboards, which launched very recently.

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Now, these new dashboards can pull data directly from your connectors and now show live data, meaning every time you open it,

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it pulls the latest data from your connectors to show you the most up -to -date metrics.

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I'll do a full video soon on this new dashboard feature because it's very powerful.

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Then the new slides feature lets you create animated presentations

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and slideshows straight from Cloud and download them in PPT format or present them right from Cloud.

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Now, Cloud Docs is essentially Google Docs with tabs where your team

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and your AI agents can collaborate on documents in real time.

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I now use this to prep all my YouTube videos.

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Cloud Design gives you a Figma -like board or canvas

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which is now my go -to for any design work I need for social media,

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websites, etc. And because of the canvas I can easily change copies, leave comments and have

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Cloud fix things.

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I did a full video on Cloud Design

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so I'll make sure to link it in the description below too if you want to learn more about this feature.

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And finally Cloud Motion lets you make animated videos or motion graphics all in code.

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It can create really impressive videos without a video model is just using code to build these videos,

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which means it's far cheaper than a video model.

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And again, because we get the canvas, you can easily iterate and improve on videos fast.

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Now, I also did a full video on Cloud Motion and its use cases,

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which I'll also link in the description below if you want to learn more about this feature.

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Now, Cloud Code also launched a few new slash commands,

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and this is another reason you really want to consider switching from co -work to code if you haven't yet,

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because Cloud Code has far more slash commands.

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Now, a slash command is basically a shortcut you type, starting with a slash, of course,

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and there are four specifically that are really worth knowing about.

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Now, the first one is slash output style, and with it, you can basically control how

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Cloud gives you outputs.

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For example, sometimes Claude gets really technical, so we created our own output style, which keeps Claude's answers short and simple.

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Now, if you're interested in it, I'll also put it in the free resources in the first link in the description below.

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But if you want to create your own output style,

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you can just have Claude create one and then add it as an output style and invoking it through the slash command.

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Now, the second one is slash doctor.

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Now, many people have lots of skills and Claude .md that are outdated or not optimized for newer models.

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Now, this command fixes that by automatically reading your cloud .md files, which are the first instructions cloud reads in every chat,

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plus all of your skills and all other settings for outdated or conflicting instructions, which may not be relevant for the 5 .5 models anymore.

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So in my case, it analyzed 404 files.

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It found 312 problems like instructions that are needed anymore for Opus 5 .5 and are consuming unnecessary tokens.

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It's just a nice one to run sometimes to clean up your Cloud account.

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Now the third one is slash skill doctor.

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Now every skill you install takes a bit of Cloud's context

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which basically means it's working memory even when you never use that skill.

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So the skill doctor command shows what each skill costs and how often you actually use it,

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flags the ones you never really use and makes recommendations on which ones you probably want to delete.

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Now this one for example saved me about 20 ,000 tokens which were being consumed by skill files I never actually used.

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And lastly, Slash Advisor, which isn't that new, but it's one of my favorites, especially with the Neo 5 .5 models.

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So if you run a cheaper model like Sonnet or Haiku with Slash Advisor,

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Klot can ask a stronger model like Opus for advice at key moments in a task.

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So you get the stronger model's judgment where it matters without paying for it the whole time.

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For example, I use this regularly when I use Sonnet to clean my inbox.

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I use it together with slash advisor

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and whenever there's something critical it uses opus 5 .5 to help draft a response that's important.

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And the last one is mods which is one of my favorite new features.

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A mod basically changes how

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Cloud Code looks and behaves and it essentially allows you to build features inside of the Cloud Code desktop app yourself.

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For example one that I built is a brain dump mod

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because I do a lot of long voice brain dumps when prompting

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Cloud but voice brain dumps often contain errors they jump around they're unstructured

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and sometimes even contradict themselves so this mod detects

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when i've used a long voice brain dump and automatically turns

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that into a clear structure prompt before clod even processes

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it now you can build these mods really easily by just telling clods to build your mod

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and describing what it needs to do i just did a full video covering nine cloth mods

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that i now use on a daily basis

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and i'll show you exactly how they work

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and how to build them yourself in that video so

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if you want to learn more about this i'll also make sure to link it in the description below.

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Now I've put the prompts and a summary of every feature in a PDF guide

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which you can download for free in the first link in the description

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and if you want to get access to my 30 -day CLOT course

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that takes you from beginner to pro in less than one

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hour a day plus unlimited one -on -one live AI consulting

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and hundreds of free resources across all business departments

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you can check out my AI accelerator in the second link in the description below.

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Thank you so much for watching and

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if you got any value out of it I highly appreciate a like and a subscribe it really does help me.

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Thank you.

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このレッスンの語彙とスピーキングのポイント

このスピーキングレッスンは、動画「Claude 2.0 is Insane」を教材にしています。繰り返し出てくる語は次のとおりです：chat, cloud, feature, project, sessions。この動画には、シャドーイング用の文が207文、単語が3033語あります。音声の長さは13:40です。話す速さは速く、1分あたり約222語です。音のつながりや弱く発音される音が多くなります。単語の82%は英語の頻出3,000語に含まれます。残りは練習の前に確認しておきましょう。

この動画の重要語彙

動画に出てくる覚えておきたい単語15語を、発音と意味つきで紹介します。

単語	発音	意味
cloud 名詞	/ˈklaʊ̯d/	雲, 雲霞
thread 名詞	/ˈθɹɛd/	糸
nest 名詞	/nɛst/	巣, ネスト
output 名詞	/ˈaʊtpʊt/	出力
skill 名詞	/skɪl/	腕, 技
spin 動詞	/spɪn/	回転する
layout 名詞	/ˈleɪ.aʊt/	レイアウト, 設計
canvas 名詞	/ˈkæn.vəs/	帆布, キャンバス
coordinator 名詞		コーディネーター
select 動詞	/sɪˈlɛkt/	選ぶ
edit 動詞	/ˈɛdɪt/	編集する
slide 名詞	/ˈslaɪ̯d/	滑り台
instruction 名詞	/ɪnˈstɹʌkʃən/	指示
advisor 名詞	/ædˈvaɪ.zə(ɹ)/	顧問, 相談役
desktop 名詞	/ˈdɛsktɒp/	机の上

動画に出てくる句動詞

単語	意味
check out 動詞	試験する, 検査する
clean up 動詞	掃除する
go back 動詞	戻る, 帰る

この動画の文法

話し手がよく使っている文型を、動画の実際の表現とともに紹介します。

文型	動画での表現
条件文 if + 節, will/would + 動詞 — 条件とその結果	if you're familiar with it which would open · if you're interested in it, I'll also
現在完了形 have/has + 過去分詞 — 過去の出来事が今も関係している	they've improved · have learned · you've used
関係詞節 who / which + 節 — 人や物について情報を加える	more, which can · feature, which is · persistent which means
受動態 be + 過去分詞 — 誰がするかより、何が起きるかに焦点を当てる	are outdated · are needed · being consumed

注意したい発音

話し手はI'll, you'll, you'reなど、短縮形や弱形を36回使っています。聞こえたとおりの短い形で発音しましょう。

「th」の音: thread /ˈθɹɛd/, underneath /ˌʌndɚˈniθ/, cloth /klɒθ/, thumbnail /ˈθʌm.neɪl/
「sh」と「zh」の音: essentially /ɪˈsɛnʃəli/, instruction /ɪnˈstɹʌkʃən/, efficient /ɪˈfɪʃənt/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/, publish /ˈpʌblɪʃ/
長い単語（アクセントの位置に注意）: essentially /ɪˈsɛnʃəli/, unlimited /ʌnˈlɪm.ɪ.tɪd/, temporary /ˈtɛmp(əˌɹ)ɛɹi/, unnecessary /ʌnˈnɛs.əˌsɛɹ.i/, recommendation /ˌɹɛkəmɛnˈdeɪʃən/

日本語話者が苦手な音：

/r/ と /l/ の区別 — /l/ は舌先を歯茎につけ、/r/ はどこにもつけない: strongly /ˈstɹɔŋli/, rebuild /ɹiːˈbɪld/, collaborate /kəˈlæb.ə.ɹeɪt/, accelerator /əkˈsɛl.əˌɹeɪ.tɚ/, derail /ˌdiːˈɹeɪl/
/v/ — /b/ にならないように、上の歯を下唇に当てる: canvas /ˈkæn.vəs/, advisor /ædˈvaɪ.zə(ɹ)/, impressive /ɪmˈpɹɛsɪv/, dive /daɪv/, behave /bɪˈheɪv/
/f/ — 「フ」ではなく、上の歯と下唇で出す: format /ˈfɔːɹ.mæt/, founder /ˈfaʊ̯n.dəː/, efficient /ɪˈfɪʃənt/, graphics /ˈɡɹæfɪks/, halfway /ˌhæfˈweɪ/

この動画での練習方法

まず声を出さずに動画を最後まで聞き、知らない単語をメモします。
まず0.75倍速で一文ずつシャドーイングし、慣れてきたら通常の速度に戻します。
自分の声を録音して元の音声と比べます。cloud, thread, nestなどの単語に特に注意しましょう。

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。

シャドーイングのやり方: ステップ別の完全ガイドを読む →

シャドーイング練習: Claude 2.0 is Insane (All Updates Explained) - 動画で英語スピーキングを学ぶ

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