Pratica di Shadowing: Give Me 18 Minutes and I’ll Make you Dangerously Smart (with AI) - Impara a parlare inglese con YouTube

Most people are letting AI destroy their ability to think,

⏸ In Pausa

Velocità:

317 frasi

Se le frasi sono troppo corte o troppo lunghe, clicca su Edit per modificarle.

Most people are letting AI destroy their ability to think,

training AI to become their own replacement.

Tragic, because AI can make you dangerously intelligent.

I went from being homeless to an MIT grad and running and advising AI companies worth billions.

And here's what I've learned.

The top 1% use AI backwards.

They don't prompt to get answers.

They use it to train their brain and outsmart almost any situation.

So in this video, I'll break down a counter-intuitive system the top 1% use to get smarter faster with AI.

Here is the four-step framework.

Step 1.

Intelligent laziness.

A study in Harvard Business Review found that CEOs waste 72% of their time in meetings that don't move the needle.

We've all experienced those meetings, haven't we?

The one-hour meeting that needed only 15 minutes to get to a decision.

But is hard to stop.

So why do some of the most accomplished folks feel trapped this way?

Because we all suffer from this biological glitch called completion bias.

Your brain is wired to seek an immediate dopamine hit that you get from finishing a task.

So we end up treating all tasks as equal

because we're going to get roughly the same amount of dopamine

when you spend time on redrafting an internal email or a million dollar strategy document.

Everything is priority one, so none of it is.

So how do you avoid this priority blindness?

A good way to think about tasks is to see two curves.

First curve has capped payoffs.

This curve goes up and then flattens out once it reaches the zone of diminishing returns.

So tasks like formatting slides or internal emails, expense reports, FYI meetings.

What happens if you spend additional effort to make the outcome of these tasks pitch perfect?

Nothing.

There's no upside here because the value flatlines after a point.

Nobody cares if you spend hours choosing better fonts or breathtaking designs in internal slides that are seen for six minutes.

This curve shows you your zone of intelligent laziness.

There was a Nobel Prize winning economist and computer scientist,

and his name was Herbert Simon,

and he came up with a concept called satisficing,

which pretty much means stop when it's good enough.

Satisfy and suffice.

Satisfice.

Now our second curve is the exact opposite.

It has uncapped payoff.

This curve stays flat for a long time,

but then goes to the moon in a hurry.

These are tasks like customer interactions,

product design, pricing model, finding a co-founder or a life partner.

Being 1% better here does not yield 1% better result.

It actually solves the rest of the 99% of your problems.

Pour your soul into this.

Johnny Ive would obsess for many months on even the internal component design of iPhone.

But you know, Steve Jobs never said,

hey, this is costing us a lot of money and who's gonna pry open the iPhone?

But Steve knew this was the second curve.

So if the first curve is your zone of laziness,

your second curve is your zone of obsession.

Let's talk about how AI can help.

The top 1% use AI on zone 1 or the zone of laziness.

The more they outsource Zone 1 to AI,

the more they can focus on Zone 2, the Zone of Obsession.

So how do I decide what to outsource to AI, and when?

So for that, I use a very simple framework called DRAG framework.

D-R-A-G.

Four categories of work you immediately should delegate to AI so you can stay in your Zone of Obsession.

First, D equals drafting.

This is the blank page problem we all face.

It's hardest to get from 0 to 1 sometimes.

AI can help here, tremendously actually.

Give it a prompt using the AIM protocol that I've shared before.

Hey AI, act in this role,

use this input, and this is your mission.

AIM.

And that way, you get started very quickly on that email or code or presentation.

The first draft from AI will be crappy and atrocious, but that's fine.

Now you have a starting point.

You're not staring at a blank page anymore.

Now it'll trigger something in your brain and you're off to the races.

R equals research.

This helps you solve the information overload problem.

Today if something requires deep research it can be dramatically accelerated using AI.

Summarization, extraction, competitive intel.

You know don't spend time doing that kind of research.

Let your friendly neighborhood AI do it for you.

When you use the deep research feature on ChatGPT or Gemini or Claude,

it fires off hundreds of secondary search queries.

It goes out to the web like a spider and finds hundreds of sites,

consolidates the results, even checks his own work by asking what's missing,

and follows up on its own to finally deliver a rich document to you.

It's like you just hired a consultant for a week-long research project,

but instead you get there in 10 minutes.

Third is A for analysis.

Let AI take the first pass at analyzing,

summarizing, reasoning, especially if it's all unstructured data

because AI is going to find patterns that we humans aren't going to be able to.

So use it for your advantage.

And finally G is for all the grunt work.

Tasks like reformatting, translating, tabulating,

cleaning data, and on and on.

The boring manual work.

Just give it to AI.

So what's the key principle behind drag?

100

Apply it only when you are in your zone one.

101

That first curve.

102

If it requires human interaction or judgment or intuition or decision making or tastes, that's curve two.

103

That you've got to do it yourself.

104

But you know, I've found that 70 or 80 percent of my repetitive tasks tend to be in zone one.

105

And you might find that too.

106

So be lazy when you can use drag.

107

Be obsessed for everything else.

108

Step two, the intelligent hill.

109

For 300 years, Isaac Newton convinced us that universe was a clockwork machine.

110

Predictable and certain.

111

But in 1927, another scientist named Heisenberg shattered those classical beliefs.

112

He showed that our universe exists only as a cloud of possibilities at quantum level.

113

It was a profound shift.

114

You and I have to make a similar shift when we use AI nowadays.

115

The first trick is to stop treating AI like a calculator.

116

We like to live in a world with clear rules.

117

You type 2 plus 2 into a calculator and you get 4.

118

Always.

119

It's predictable.

120

But AI is not a calculator.

121

It's a probability engine.

122

If you ask the same question to AI again,

123

it'll give you a completely different answer.

124

It'll happily make things up for you unless you ask it to verify.

125

AI is brilliant on some days,

126

confused on others but on any given day it refuses to admit that it doesn't know the answer.

127

It loves to make things up.

128

So you don't just ask AI the way you ask a normal human being.

129

You have to architect your questions very carefully.

130

Now most people use a tactic called zero shot prompting.

131

So for example they would ask give me the best new business idea

132

and of course AI will dish out a response and tell you why it's the greatest idea in the world,

133

but you're literally rolling the dice and looking to win.

134

To get elite results though,

135

you must climb the intelligent hill.

136

There are four camps on the way.

137

Each camp will show you a different way to work with AI.

138

Our first camp is called one-shot prompting.

139

When you prompt, give one clear example so the model doesn't guess blindly.

140

So the prompt would look like,

141

write a LinkedIn post about remote work.

142

Use this specific post as a style guide.

143

And so give it a post,

144

give it an example, and paste that post in the prompt as a reference.

145

And that simple act is already an upgrade than rolling the dice blindly.

146

Second camp, few shot prompting.

147

Now here you give AI three or more examples so it can find patterns of style,

148

and substance and tone that you desire.

149

Attached documents, links, data, or your prior work,

150

this is called grounding the model.

151

So basically it stops fantasizing and hallucinating and gets grounded to reality.

152

Here's an example of a prompt.

153

Here are the five of my previous presentations.

154

And now write a new presentation based on my tone of voice on topic XYZ.

155

And here's the pro tip.

156

Ask the AI to explain the pattern back to you first.

157

That way, AI is forced to articulate what it's doing,

158

and more importantly, you're forced to learn how your brain works.

159

How did it come up with those patterns?

160

Now, you're being smart about being smart.

161

Now let's move to the third camp.

162

This one is called chain of thought reasoning.

163

Again, fancy name, but the idea is simple.

164

Ask the model to think long and hard before it responds.

165

Your job is to slow AI down and force explicit clarity by asking it to show its work.

166

That's all there is.

167

This is also a good way to reduce hallucinations, of course.

168

So let's say you're working on some report,

169

and so you attach it and write a prompt that could look like this.

170

Do not refine my research report yet.

171

List the top three most impactful areas of improvement after you analyze it.

172

Tell me why you think so and suggest how we address each.

173

Think step by step.

174

Show me your thinking for each step.

175

That last line is the most important one.

176

And our fourth and final camp is agents.

177

According to Salesforce, AI agents help drive $67 billion in global sales during Cyber Week alone.

178

So agents are already here.

179

The best way to think about agents is to think about who you would hire for a task.

180

So let's say if you wanted to hire a researcher,

181

an analyst, and a copywriter.

182

You can do that with a single agentic prompt that looks like this.

183

Do deep research on trends on topic XYZ,

184

analyze and cross-reference all the trends to find the three most important ones,

185

and draft a one-page memo summarizing the findings.

186

Now, what is actionable?

187

Try this framework tonight.

188

Open your favorite AI app and take any prompt that you were about to use.

189

Just try to get to the next camp.

190

That's how you start climbing up the intelligent hill.

191

Remember, when you were dealing with a drunk genius,

192

make sure you were the one driving the car.

193

So now, at this point,

194

everything we have done has made you fast and efficient.

195

You're delegating better, you're prompting smarter,

196

you're moving up the hill,

197

and there's less friction than before.

198

And that's exactly where most people would stop.

199

But here's the plot twist.

200

The top 1% go one step further.

201

They slow things down deliberately.

202

Why is that important?

203

The trick that top 1% know is this.

204

They know when to shift the gear.

205

Because long-term intelligence isn't built through convenience, it's built through resistance.

206

and that's why we need to go to step three, the intelligent gym.

207

Most people use AI as wheelchair for the mind and if you sit in a wheelchair when you can still walk,

208

eventually your legs stop working,

209

atrophy and today is happening faster than at any point in human history but the top 1% use a very different principle.

210

For information tasks, use AI to remove friction.

211

For transformation tasks, use AI to add friction.

212

When you go to a physical gym,

213

we all know how muscles are built, right?

214

Through resistance.

215

You lift increasingly heavier weights to introduce wear and tear to your muscle fibers,

216

so they break and they grow back stronger.

217

That is called progressive overload.

218

But when it comes to our minds,

219

we do the exact opposite somehow.

220

We avoid resistance.

221

We use AI to outsource our thinking.

222

Write my LinkedIn post, fix my resume, summarize this book.

223

That's like going to the gym and asking someone else to lift weights on your behalf.

224

You know, when astronauts spend months in zero gravity,

225

their muscles and bones atrophy dramatically, up to 20%.

226

AI is like zero gravity for your thinking.

227

No friction, no load, no growth.

228

The intelligent gym is not about information.

229

It's about transformation.

230

For things where you need to be smart and capable,

231

you can think of AI as your spotter.

232

In any gym, a spotter doesn't lift the weight for you.

233

They stand next to you and help you lift.

234

They also make sure that you don't get crushed when you're lifting the weight.

235

So do the same with AI.

236

Here's a concrete example.

237

If you want to learn a concept,

238

study it first yourself and then go to your spotter, your AI.

239

Paste the concept text and then prompt AI.

240

I need to master this concept.

241

Quiz me on it.

242

And now comes the most important part of your intelligent gym.

243

Ask AI to apply progressive overload.

244

Four levels.

245

Level one, quiz me like I am a high school student.

246

Level two, ask me questions like I am a college student.

247

Level three now grill me like you're interviewing me for an executive job

248

and level four now challenge me like an irate boss Who thinks I'm unprepared

249

so that truly strengthens and deepens your understanding on that concept

250

So now we have covered three key steps to learn how the top 1% Become smarter by using AI

251

but there is one internal adjustment that changes everything and that is our final step step number four The intelligent fool.

252

You know, the biggest obstacle to intelligence isn't ignorance, it's ego.

253

That's why the smartest people are obsessed with what they don't know.

254

And this is what I call the fool's advantage.

255

Let me give you an example.

256

Microsoft went from $300 billion to $300 trillion in market cap with just one mental, cultural shift.

257

When Satya Nadella became the CEO of Microsoft in 2014,

258

they had missed two huge disruptions, search and mobile.

259

The cloud race was ongoing,

260

but it was slipping away from them with Amazon becoming the 800 pound gorilla.

261

And the culture inside the company was toxic and political.

262

And everyone was terrified to admit that there were gaps in their knowledge.

263

Satya made one cultural move.

264

He told the entire company,

265

were switching from a culture of know-it-alls to learn-it-alls.

266

A complete reboot of Microsoft culture.

267

The smartest people in the room were finally given permission to say,

268

I don't know, or I was wrong,

269

and to embrace that beginner's mind.

270

Now, Wall Street was skeptical at first,

271

but the market cap eventually went from $300 billion to over $3 trillion.

272

keeps growing.

273

10x growth in a decade.

274

And here's why this matters.

275

Neuroscience tells us that our brain can rewire all the time.

276

It's called neuroplasticity.

277

This rewiring happens only at the edge of your ability.

278

It happens when you are making errors.

279

It happens when you're frustrated,

280

when you're feeling that discomfort.

281

And if you aren't feeling stupid, you aren't learning.

282

And aren't you glad that AI has just handed you the ultimate training ground to be a student again?

283

You can bring your beginner's mind to AI all day long.

284

Ask questions you would never ask your colleagues out of fear of embarrassment.

285

AI doesn't roll its eyes.

286

Pick one thing that you don't understand in your field.

287

Something that everyone else thinks you know,

288

but you know you don't.

289

And then ask AI the most basic questions about that topic that you can think of.

290

And then ask.

291

Can you explain it to me in a simpler way?

292

Teach me like I am 10 years old.

293

I ask these questions all the time.

294

In fact, I ask three times in a row to simplify again and again.

295

And sure, I guarantee you,

296

you'll feel ridiculous at first.

297

I do all the time.

298

But that's the whole point.

299

Have the courage to play the fool today so you can be the genius tomorrow.

300

The trick to mastery is going back to simplicity itself.

301

If you examine some of the greatest masters across human history,

302

you'll see one consistent pattern.

303

Every master is a student for life.

304

And you can be a genuine student if you're hiding behind a mask of mastery.

305

You know, the biggest benefit of intelligence is not the end of ignorance,

306

it's the end of pretending.

307

You know, we're surrounded by endless images of flawless people in their flawless poses, flawlessly photoshopped.

308

But in the end, all art is about asymmetry.

309

We're beautiful because we're broken.

310

Because the real purpose of intelligence,

311

of this thing called life,

312

is to travel far and wide only to return to yourself and fully accept who you are.

313

That is your truest intelligence.

314

If you like this video, don't forget to subscribe.

315

If you want to use AI to start a business,

316

here's another video where I walk you through exactly what I would do.

317

Thank you and I love you.

TRENDING

Popolari

Cos'è la tecnica dello Shadowing?

Shadowing è una tecnica di apprendimento delle lingue supportata da studi scientifici, originariamente sviluppata per la formazione dei traduttori professionisti e resa popolare dal poliglotta Dr. Alexander Arguelles. Il metodo è semplice ma potente: ascolti un audio in inglese di madrelingua e lo ripeti immediatamente ad alta voce — come un'ombra che segue il parlante con un ritardo di solo 1–2 secondi. A differenza dell'ascolto passivo o degli esercizi di grammatica, lo shadowing costringe il tuo cervello e i muscoli della bocca a elaborare e riprodurre simultaneamente i modelli di discorso reale. La ricerca dimostra che migliora significativamente la precisione della pronuncia, l'intonazione, il ritmo, il discorso connesso, la comprensione dell'ascolto e la fluidità del parlato — rendendolo uno dei metodi più efficaci per la preparazione alla prova di speaking dell'IELTS e per la comunicazione reale in inglese.

☕ Offrici un caffè

ShadowingEnglish rimane gratuito al 100% grazie al tuo supporto. I costi del server e IA sono elevati — il tuo caffè ci aiuta ad andare avanti! 🙏

Dona via PayPal

ShadowingEnglish.com – Pratica di Shadowing in Inglese

Parla inglese fluentemente usando la tecnica dello Shadowing. Ascolta video di YouTube con madrelingua, ripeti frase per frase e costruisci una pronuncia e fluidità reale — usata da studenti IELTS in tutto il mondo.

Pratica di Shadowing: Give Me 18 Minutes and I’ll Make you Dangerously Smart (with AI) - Impara a parlare inglese con YouTube

Popolari

Informazioni su questa lezione

Vocabolario chiave e frasi

Consigli per la pratica

Cos'è la tecnica dello Shadowing?

Pratica di Shadowing: Give Me 18 Minutes and I’ll Make you Dangerously Smart (with AI) - Impara a parlare inglese con YouTube

Scarica l'app

Informazioni su questa lezione

Vocabolario chiave e frasi

Consigli per la pratica

Cos'è la tecnica dello Shadowing?