跟讀練習: How To Become Dangerously Self-Educated With AI (for free) - 通過影片學習英語口語

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You can now teach yourself anything completely for free.

That's the power of AI.

You can get dangerously self-educated and build your own personal university right about now.

I've been a monk in training, an MIT grad, a tech CEO, and I've seen this one pattern.

The people who unlock real intelligence are almost always relentless and curious and self-driven.

So today, I'm giving you that precise learning system that nobody has shared so far.

I call it the University in a Box.

Genius name, right?

But it's a way to use AI to become a self-taught expert at almost anything.

You'll be able to learn how to build your own personal curriculum from A to Z.

So let's get going.

A few months ago, I was in Los Angeles.

and I had to give a keynote to a class of 120 incoming interns at one of the largest media companies.

And they were all from top universities and schools, very sharp, very hungry, very young.

And I opened my speech with a simple question.

I said, how many of you use AI for at least 30 minutes a day.

And I was expecting each and every hand to go up.

But I was thoroughly surprised.

Less than maybe 30 hands went up.

And then I asked how many use Instagram for more than 30 minutes a day.

Every single hand went up.

Think about the tragedy hidden in this trend.

Here's another surprising finding many of the world-class universities including Harvard

and MIT Stanford IIT Oxford LSE many others they have put

many of their entire courses online the entire semester worth of classes online for free

and 88% of all users who start those courses don't finish them there's almost nine out of ten of us

and it gets even better now because with ai today you're holding

a multi-million dollar university in the same pocket with instagram the

most powerful intelligence engine in human history is waiting for you

and you don't even have to pay 250 000 for that education

and that's the system we want to build today

and i don't mean some new notion template

or anything instead we'll go through five radical roles

that you can give ai one easy way to remember these

five rules is to arrange them by their first letters it spells alter

which kind of fits right because these roles alter the way you think, the way you learn, the way you behave, and the way you graduate.

So let's build them one at a time.

First day in school, you need an advisor.

That's where we begin.

To understand that concept a little better, let's go to Liverpool.

In the 60s, there was a city full of shipyards and docks,

and there were three teenagers who started a band called Johnny and the Moondogs.

They didn't know then that they would change the world of music forever.

John Lennon, Paul McCartney, George Harrison eventually went on to become the Beatles.

But they were lost for a while.

They got turned down by every label in London until they found their creative advisor, the fifth Beatle, George Martin.

He became the music producer for the band and And he was able to hear what the four of them couldn't.

And the band went on to create some of the most loved music ever made.

And this story keeps repeating since the dawn of humanity.

If you don't have Aristotle, you don't get Alexander the Great.

Every great Michael Jordan needs a coach like Phil Jackson.

Because good advisors study you.

And they build a personalized path for you.

If today, all the universities started offering customized courseware for each and every student, they would all go bankrupt.

If you go to a gym and every person walking in gets a personal trainer, they'll never make money.

But here's why things are changing dramatically for all of us.

Today's AI can become your perfect academic advisor when you're ready to learn anything.

And how do you make AI a great advisor?

it for five decisions.

First, destination.

What do you want to know or do at the end when you're done learning it?

Second, baseline.

Where are you on this topic right now?

Basic level, intermediate, nothing.

Third, sequencing.

What order do you learn this topic in?

That's really important.

And fourth, cut list.

What should you ignore for now?

And fifth and final, milestones.

What output from you will show that you mastered the topic and you're ready to move on?

Let's make this concrete.

Let's say if you wanted to learn business finance, obviously you're not going to give a prompt saying, teach me corporate finance.

Instead, type ACT as my elite academic advisor.

We want to build a six-week custom course.

I want to learn about how finance works in business

so I can understand how to use those skills to build my own business.

First, interview me to find my weaknesses, my baseline.

I want to define the destination, build the sequence, list what I should ignore for now,

and also give me weekly milestones so I can prove that I'm ready to move on.

Ask me up to five questions for each of these five steps, one question at a time.

Now, the exact prompt is not that important.

In fact, you can ask AI to make you an even better prompt than the one I just gave you.

The goal is to leverage AI to create the right personal curriculum for you.

This doesn't have to be just business or finance or anything.

What if you wanted to master something grounded in human judgment, in art, in taste, in style?

What if you wanted to master design theory?

You can use the same structure.

In fact, you can use Gemini because it has the multimodal capabilities.

So it's almost like giving a pair of eyes to your advisor.

In all such self-education adventures, AI no longer remains as your lazy text generator.

It is an intelligence engine that becomes your path builder.

So let's say you build a six-week plan with your AI advisor.

But how do you make it actionable?

This is where an automation tool like Zapier would come in.

They're sponsoring this part of the video

because I wanted to show how you can connect your plans to the apps that you already use.

And Zapier connects to over 9,000 of them.

So let's do it step by step.

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You need something called Zapier MCP.

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Now, think of MCP as a gateway

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that gets your AI out of the prompt window

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and lets it actually use your apps like calendars and docs and your emails.

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You set it up once and it takes only a couple of minutes.

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So let's do it.

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Let's go to Zapier and pick a template.

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This is the easiest way to do it.

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The link is in the description.

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Now you connect your AI.

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I'm using Claude for this one.

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and then choose which apps you want to give access to.

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I'm turning on Google Calendar and Google Docs.

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And then you set the permissions.

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And when you head back to Claude, make sure Zapier is toggled on in the connectors list.

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And that's it.

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You're ready.

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The gateway is now open.

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Now your AI has a pair of hands.

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So you go back to the plan that you just built and type a few lines.

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Like take the six-week curriculum that we just built and save it to a Google Doc.

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Do it in a week-by-week format with the topic, the sources, and the milestone for each week.

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Then put every study session on my Google Calendar and send me a reminder the day before.

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That's it.

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And it does all of that.

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The plan you made a few minutes ago is now sitting in the apps you use every day.

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That's what tools like Zapier can do for you.

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And that's the difference between AI that talks to you and AI that actually does the work for you.

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Now you have an advisor and an assistant together.

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But even the best paths will break if the sources you learn from are garbage.

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That's where we go next.

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Once you build your curriculum, the next battle is sticking to it.

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Stanford researchers tested more than 7,800 students on how well they judged information online.

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The result was embarrassing.

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82% of middle schoolers could not tell the difference between sponsored content and real news.

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Now, these are not some ancient villagers discovering the internet for the first time, right?

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These were digital natives.

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They knew how to use the internet.

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They just didn't know how easily internet could abuse their trust.

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The algorithm and the feed is not interested in teaching you anything.

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It only cares about keeping you there.

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That's why the AI librarian matters.

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Their job is to defend the curriculum from distraction.

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It's a triaging function that tells you which 10 sources deserve your attention, your time, and which thousands you can ignore.

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It helps you figure out this belongs, this doesn't, this is credible, this is too advanced, this is signal, this is noise.

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So let's see the librarian in action.

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Let's use Notebook LM.

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First, build the shelf.

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Find the three or four sources that actually matter.

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A textbook, a YouTube course, or a bunch of videos, a podcast, an academic paper,

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a bunch of newspaper articles, whatever it is that you can find.

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What if you don't know what sources to look for?

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Well, you can use deep research on Gemini or Cloud or ChatGPT to find those sources.

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Then load these documents to Google's Notebook LN.

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Nowadays, you can create a new notebook from Gemini itself.

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Now, your AI is not wandering homelessly across the open internet.

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It is anchored to the ground truth you just gave it.

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But now, how do you make the most out of these documents?

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This is where Notebook LM changes the game.

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You can turn anything into a podcast or a video

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or a slideshow say you want to educate yourself on building great money habits.

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Okay, so let's do it live.

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I love this book called The Psychology of Money.

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It's by Morgan Housel.

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And I've read this book.

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I grabbed a bunch of very good videos from YouTube

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and the interviews that the author himself has done and I put them into Notebook LM.

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And now I click on studio and then it's going to start a podcast

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and you can listen to it during your walk, during your commute, and you can even call in.

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Welcome to today's deep dive.

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We have a really fascinating mission ahead of us today, entirely custom tailored for you listening right now.

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Yeah, it's a great one.

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We're looking at a huge stack of sources today.

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And they all point to one specific subject.

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So we are going to be summarizing the core lessons from Morgan Housel's incredibly popular book, The Psychology of Money.

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Now you can even call in.

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Oh, it really is.

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And the mission of this deep dive is to prove a premise that kind of, oh, hey, I think our listeners got something to say.

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Yes, I love your podcast.

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I just had a quick question.

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What's the one line summary of the book?

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What's the key message?

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That is a brilliant question.

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We love it when you jump in like that.

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Seriously, it is the perfect way to kick things off.

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If we had to boil it down to one key message, it is this.

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Doing well with money has little to do with how smart you are.

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Exactly.

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It has everything to do with how you behave.

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Financial success is a soft skill, not a hard science.

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And the ultimate goal of that.

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This is all AI.

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This is not some futuristic thing.

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It's all here, available right now.

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And by the way, if you love such concepts and ideas, and if you want to go deeper, you can join my newsletter.

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It shows up in your inbox every Tuesday.

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It's one insight, one tool, one practice.

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I have to remember it.

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And I love writing it.

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It's completely free.

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The link is down below.

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But a good source alone can't guarantee understanding.

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At some point, the material will stop making sense to you.

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And this is exactly when you need the tutor.

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A teacher and a tutor serve two different roles.

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The teacher explains it.

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The tutor diagnoses your specific confusion one-on-one.

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A good tutor makes it harder for you to fake understanding.

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Tutoring has always been the luxury good of education.

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Psychologists named Benjamin Bloom wrote about this in the 80s, and it became known as the Two Sigma Problem.

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And he found that students with one-on-one tutoring performed way better than the rest of the students who sat in conventional classrooms.

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The average student who got tutored performed above 98% of the students in the control class.

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That was one of the most important findings in education.

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And also one of the most frustrating because everybody got to know that tutoring works.

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But not everyone can afford a private tutor.

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Until now, that is.

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AI completely breaks the economics of human intelligence.

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A world-class tutor can now sit with you at midnight, ask you uncomfortable questions, refine your logic,

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and refuse to leave until the concept finally clicks.

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I use AI both as a teacher and a tutor.

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So here's the tutor in action.

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I usually use either ChatGPT voice or Gemini voice because tutoring should feel like the office hour.

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So how do you actually do this?

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Let's do it live.

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I have Gemini voice mode on my iPhone right now.

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I'm going to hit voice mode and say the following.

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Be my tutor on the idea of enough from the book, The Psychology of Money.

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Ask me one question at a time.

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Don't lecture me.

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Find the gap in my understanding. Be precise.

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Let's go.

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How does constantly comparing yourself to others make it difficult to define your own personal version of enough?

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Okay, you get it.

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So that was a complete improvisation because I didn't know what the AI tutor was going to ask.

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But that's what would happen in real life as well.

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Sometimes you will get questions you don't know the answers to.

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And you will have to work with the tutor to learn about it.

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That's the whole point.

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The two best commands in AI are teach me and test me.

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I love both of them.

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But there is still one problem.

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Learning all the skills is great.

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But when you have to deliver something, you need honest feedback.

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You need refinements.

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That's why the next role is so important, the editor.

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That's where we go next.

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A tutor helps you understand.

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An editor helps you deliver.

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A typical Formula One race is about 90 minutes, but the difference between winning and losing can be just a few seconds.

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That's why a large team of engineers for every race car company monitor thousands of data points in real time,

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constantly feeding tiny corrections back to the driver.

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Because if you can shave off just a fraction of a second at every turn, you can change the outcome.

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Real-time feedback is everything in that game.

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Because excellence lives in feedback.

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That's why authors have editors.

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Filmmakers have editors.

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Journalists have editors too.

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Even CEOs have boards.

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They're editors.

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Your AI can be a great editor.

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When I write anything nowadays that's important,

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I usually take time to review it with ChatGPT or Gemini or Claude.

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And I ask AI to challenge my thinking, my logic, find the weakness in my arguments,

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cut repetition, tighten the structure, make the language more precise or concrete.

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AI can be your powerful ally when it comes to editing your work, but you still have to fly the plane.

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And that brings us to the fifth and final role, the roommate.

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Because in the future that we're heading into, your depth and your expertise will constantly be challenged.

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You'll have to renew them all the time.

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You will need range.

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And that comes from your roommate.

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That's where we go next.

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When I was living in a dorm, my roommate and I had absolutely nothing in common.

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But our late night conversations were always wonderful.

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They were eye-opening for me.

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Because he would constantly talk about the economy of design,

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the aesthetic trade-offs, the compromises, the craftsmanship.

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In fact, he taught me as much about entrepreneurship and taste and strategy as a business professor would.

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This is exactly what Pixar did when they started building their own in-house training school.

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The company put all of its animators in sculpting class and the accountants and security guards were put in drawing classes.

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Why?

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Because when you get a perspective from a world that's different than yours, it helps you understand your own world a little better.

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So the question is, how do you make AI that roommate that brings you that fresh perspective?

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Well, ask it to talk about things that are completely outside of your field.

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What's the connection between cooking and finance?

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How does a jazz musician think about playing with others?

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And how does that relate to building teams?

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Roommates help you ask questions you would never ask on your own.

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They hand you a stranger's lens so you can see the world for the first time again.

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So that's your university in a box.

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The whole altar framework.

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Advisor, librarian, tutor, editor, and your roommate.

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And it's all just one prompt away.

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Something you can start using tonight.

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So, what comes next?

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Let me leave you with one last story.

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A young, eager student arrived at the riverside.

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And she was in a real rush, a real hurry to go across the river.

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But there was no bridge.

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Just some boats lying around.

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All shapes and sizes.

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So she asked the old boatman who was just standing there, Sir, which boat would get me across the river fastest?

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And the boatman smiled and said, The one you get into and start rowing.

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I'll see you next week.

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Thank you and I love you.

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流利口語所需的一切

AI 發音評分逐句打分

音標練習掌握每個音

詞彙學習建立你的詞庫

詞彙遊戲邊玩邊學

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179

FOR YOU

本課的詞彙與口語要點

這節 B2 級別的口語課以影片“How To Become Dangerously Self-Educated With AI”為素材。這段影片共有 303 個句子、3069 個單詞可供跟讀。講話部分時長為 21:22。說話人語速平穩，每分鐘約 144 個詞，很適合跟讀。 83% 的單詞屬於英語最常用的 3,000 詞，其餘的詞建議在練習前先學一下。

影片中的重點詞彙

影片中最難的 15 個單詞，附發音和釋義：

單詞	發音	釋義
tutor 名詞	/ˈtjuːtəː/	私人教師 /私人教師, 家庭教師 /家庭教師
advisor 名詞	/ædˈvaɪ.zə(ɹ)/	顧問 /顧問
notebook 名詞	/ˈnoʊtˌbʊk/	筆記本 /筆記本, 本子
roommate 名詞	/ˈɹu(m)ˌmeɪt/	室友, 同屋
curriculum 名詞	/kəˈɹɪk.jə.ləm/	學校的全部課程 /學校的全部課程
podcast 名詞	/ˈpɑdˌkæst/	播客
librarian 名詞	/laɪˈbɹɛə̯ɹi.ən/	圖書館館長 /圖書館館長
milestone 名詞	/ˈmaɪlˌstoʊn/	里程碑
altar 名詞	/ˈɔl.tɚ/	祭壇 /祭壇, 聖壇 /聖壇
precise 形容詞	/pɹɪˈsaɪs/	準確 /準確, 正確 /正確
boatman 名詞	/ˈbəʊt.mən/	船工
baseline 名詞	/ˈbeɪslaɪn/	基綫 /基線
template 名詞	/ˈtɛm.plɪt/	模板, 型板
behave 動詞	/bɪˈheɪv/	為人 /為人
nowadays 副詞	/ˈnaʊ.ə.deɪz/	現在 /現在, 現今 /現今

影片中出現的短語動詞

單詞	釋義
go up 動詞	上昇 /上升, 上去
figure out 動詞	弄清楚
go through 動詞	通過 /通過
turn down 動詞	拒絕 /拒絕, 回絕 /回絕

值得反覆跟讀的句子

影片中簡短而完整的句子，可以直接用在日常對話裡：

Where are you on this topic right now?
What order do you learn this topic in?
What should you ignore for now?
What if you wanted to master design theory?
What if you don't know what sources to look for?

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
現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事	I've been · has shared · have put
被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的	were lost · is toggled · is anchored
定語從句 who / which + 從句 — 補充說明人或事物	people who unlock · students who sat · student who got

需要注意的發音

說話人用了 38 次縮略和弱讀形式，例如 don't, you're, I'm。請按聽到的簡短形式來說。

“th” 音: algorithm /ˈælɡəɹɪðm̩/, aesthetic /ɛsˈθɛ.tɪk/, thoroughly /ˈθʌɹ.ə.li/
“sh” 和 “zh” 音: actionable /ˈæk.ʃə.nə.bəl/, craftsmanship /ˈkɹæfts.mən.ʃɪp/, entrepreneurship /ˌɑn.tɹə.pɹəˈnɝ.ʃɪp/, corrections /kəˈɹɛkʃənz/, distraction /dɪsˈtɹæk.ʃən/
長單詞——注意重音位置: curriculum /kəˈɹɪk.jə.ləm/, librarian /laɪˈbɹɛə̯ɹi.ən/, actionable /ˈæk.ʃə.nə.bəl/, animator /ˈænɪˌmeɪtə(ɹ)/, dormitory /ˈdɔɹ.mɪˌtɔɹ.i/

中文母語者容易讀錯的音：

/v/ — 不要讀成 /w/，上齒輕觸下唇: advisor /ædˈvaɪ.zə(ɹ)/, behave /bɪˈheɪv/, dive /daɪv/, villager /ˈvɪlɪd͡ʒɚ/, riverside /ˈɹɪvɚˌsaɪd/
詞尾子音 — 要讀清楚，後面不要加母音: notebook /ˈnoʊtˌbʊk/, roommate /ˈɹu(m)ˌmeɪt/, prompt /pɹɑmpt/, podcast /ˈpɑdˌkæst/, precise /pɹɪˈsaɪs/
/r/ 和 /l/ 的區別: curriculum /kəˈɹɪk.jə.ləm/, librarian /laɪˈbɹɛə̯ɹi.ən/, relentless /ɹɪˈlɛntləs/, credible /ˈkɹɛdəbl̩/, builder /ˈbɪl.dəɹ/

如何用這段影片練習

先完整聽一遍影片，不要開口，記下不認識的單詞。
用正常速度逐句跟讀，每句重複到你的節奏與說話人一致為止。
錄下自己的聲音並與原聲對比，特別注意 tutor, advisor, notebook 這類單詞。

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: How To Become Dangerously Self-Educated With AI (for free) - 通過影片學習英語口語

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P1 机器学习的应用【2024公认最好的 | 吴恩达机器学习 | 教程 | Machine Learning Specialization(超爽中英!)】

本課的詞彙與口語要點

影片中的重點詞彙

影片中出現的短語動詞

值得反覆跟讀的句子

影片中的語法

需要注意的發音

如何用這段影片練習

什麼是跟讀法？