Give Me 18 Minutes and I’ll Make you Dangerously Smart (with AI)

0:00 Most people are letting AI destroy their

0:02 Most people are letting AI destroy their

0:02 Most people are letting AI destroy their ability to think, training AI to become

0:05 ability to think, training AI to become

0:05 ability to think, training AI to become their own replacement. Tragic, because

0:07 their own replacement. Tragic, because

0:07 their own replacement. Tragic, because AI can make you dangerously intelligent.

0:10 AI can make you dangerously intelligent.

0:10 AI can make you dangerously intelligent. I went from being homeless to an MIT

0:13 I went from being homeless to an MIT

0:13 I went from being homeless to an MIT grad and running and advising AI

0:15 grad and running and advising AI

0:15 grad and running and advising AI companies worth billions. And here's

0:17 companies worth billions. And here's

0:17 companies worth billions. And here's what I've learned. The top 1% use AI

0:19 what I've learned. The top 1% use AI

0:20 what I've learned. The top 1% use AI backwards. They don't prompt to get

0:22 backwards. They don't prompt to get

0:22 backwards. They don't prompt to get answers. They use it to train their

0:24 answers. They use it to train their

0:24 answers. They use it to train their brain and outsmart [music] almost any

0:26 brain and outsmart [music] almost any

0:26 brain and outsmart [music] almost any situation. So in this video, I'll break

0:28 situation. So in this video, I'll break

0:28 situation. So in this video, I'll break down a counter intuitive system the top

0:31 down a counter intuitive system the top

0:31 down a counter intuitive system the top 1% use to get smarter faster with AI.

0:35 1% use to get smarter faster with AI.

0:35 1% use to get smarter faster with AI. Here is the four-step framework. Step

0:37 Here is the four-step framework. Step

0:37 Here is the four-step framework. Step one, intelligent laziness. A study in

0:41 one, intelligent laziness. A study in

0:41 one, intelligent laziness. A study in Harvard Business Review found that CEOs

0:42 Harvard Business Review found that CEOs

0:43 Harvard Business Review found that CEOs waste 72% of their time in meetings that

0:46 waste 72% of their time in meetings that

0:46 waste 72% of their time in meetings that don't move the needle.

0:47 don't move the needle.

0:47 don't move the needle. >> [music]

0:47 >> [music]

0:47 >> [music] >> We've all experienced those meetings,

0:49 >> We've all experienced those meetings,

0:49 >> We've all experienced those meetings, haven't we?

0:50 haven't we?

0:50 haven't we? The one-hour meeting that needed only 15

0:53 The one-hour meeting that needed only 15

0:53 The one-hour meeting that needed only 15 minutes to get to a decision, but it's

0:55 minutes to get to a decision, but it's

0:55 minutes to get to a decision, but it's hard to stop. So why do some of the most

0:58 hard to stop. So why do some of the most

0:58 hard to stop. So why do some of the most accomplished folks feel trapped [music]

1:00 accomplished folks feel trapped [music]

1:00 accomplished folks feel trapped [music] this way? Because we all suffer from

1:03 this way? Because we all suffer from

1:03 this way? Because we all suffer from this biological glitch called completion

1:06 this biological glitch called completion

1:06 this biological glitch called completion bias. Your brain is wired to seek an

1:09 bias. Your brain is wired to seek an

1:09 bias. Your brain is wired to seek an immediate dopamine hit that you get from

1:12 immediate dopamine hit that you get from

1:12 immediate dopamine hit that you get from finishing a task. So we end up treating

1:14 finishing a task. So we end up treating

1:14 finishing a task. So we end up treating all tasks as equal because we're going

1:17 all tasks as equal because we're going

1:17 all tasks as equal because we're going to get roughly the same amount of

1:19 to get roughly the same amount of

1:19 to get roughly the same amount of dopamine when you spend time on

1:21 dopamine when you spend time on

1:21 dopamine when you spend time on redrafting an internal email or a

1:23 redrafting an internal email or a

1:23 redrafting an internal email or a million-dollar strategy document.

1:25 million-dollar strategy document.

1:25 million-dollar strategy document. Everything is priority one. So none of

1:28 Everything is priority one. So none of

1:28 Everything is priority one. So none of it is. So how do you avoid this priority

1:32 it is. So how do you avoid this priority

1:32 it is. So how do you avoid this priority blindness? A good way to think about

1:34 blindness? A good way to think about

1:34 blindness? A good way to think about tasks is to see two curves. [music]

1:37 tasks is to see two curves. [music]

1:37 tasks is to see two curves. [music] First curve has capped payoffs. This

1:40 First curve has capped payoffs. This

1:40 First curve has capped payoffs. This curve goes up and then flattens out once

1:43 curve goes up and then flattens out once

1:43 curve goes up and then flattens out once it reaches the zone of diminishing

1:45 it reaches the zone of diminishing

1:45 it reaches the zone of diminishing returns. So tasks like formatting slides

1:48 returns. So tasks like formatting slides

1:48 returns. So tasks like formatting slides or internal [music]

1:49 or internal [music]

1:49 or internal [music] emails, expense reports, FYI meetings.

1:54 emails, expense reports, FYI meetings.

1:54 emails, expense reports, FYI meetings. What happens if you spend additional

1:56 What happens if you spend additional

1:56 What happens if you spend additional effort to make the outcome of these

1:58 effort to make the outcome of these

1:58 effort to make the outcome of these tasks pitch perfect? Nothing. There's no

2:01 tasks pitch perfect? Nothing. There's no

2:01 tasks pitch perfect? Nothing. There's no upside here because the value flatlines

2:03 upside here because the value flatlines

2:03 upside here because the value flatlines [music]

2:04 [music]

2:04 [music] after a point. Nobody cares if you spend

2:07 after a point. Nobody cares if you spend

2:07 after a point. Nobody cares if you spend hours choosing better fonts or

2:09 hours choosing better fonts or

2:09 hours choosing better fonts or breathtaking designs in internal slides

2:11 breathtaking designs in internal slides

2:12 breathtaking designs in internal slides that are seen for 6 minutes. This curve

2:14 that are seen for 6 minutes. This curve

2:14 that are seen for 6 minutes. This curve shows you your zone of intelligent

2:17 shows you your zone of intelligent

2:17 shows you your zone of intelligent laziness. There was a Nobel Prize

2:19 laziness. There was a Nobel Prize

2:19 laziness. There was a Nobel Prize winning economist and computer scientist

2:21 winning economist and computer scientist

2:22 winning economist and computer scientist and his name was Herbert Simon and he

2:24 and his name was Herbert Simon and he

2:24 and his name was Herbert Simon and he came up with a concept called

2:26 came up with a concept called

2:26 came up with a concept called satisficing, which pretty much means

2:29 satisficing, which pretty much means

2:29 satisficing, which pretty much means stop when it's good enough. Satisfy

2:32 stop when it's good enough. Satisfy

2:32 stop when it's good enough. Satisfy and suffice. [music]

2:33 and suffice. [music]

2:33 and suffice. [music] Satisfice. Now our second curve is the

2:36 Satisfice. Now our second curve is the

2:36 Satisfice. Now our second curve is the exact opposite. It has uncapped payoff.

2:39 exact opposite. It has uncapped payoff.

2:39 exact opposite. It has uncapped payoff. This curve stays flat for a long time,

2:42 This curve stays flat for a long time,

2:42 This curve stays flat for a long time, but then goes to the moon in a hurry.

2:45 but then goes to the moon in a hurry.

2:45 but then goes to the moon in a hurry. These are tasks like customer

2:47 These are tasks like customer

2:47 These are tasks like customer interactions, product design, pricing

2:50 interactions, product design, pricing

2:50 interactions, product design, pricing model, finding a co-founder or a life

2:53 model, finding a co-founder or a life

2:53 model, finding a co-founder or a life partner. Being 1% better here does not

2:57 partner. Being 1% better here does not

2:57 partner. Being 1% better here does not yield 1% better result. It actually

2:59 yield 1% better result. It actually

2:59 yield 1% better result. It actually solves the rest of the 99% of your

3:01 solves the rest of the 99% of your

3:01 solves the rest of the 99% of your problems. Pour your soul into this. Jony

3:05 problems. Pour your soul into this. Jony

3:05 problems. Pour your soul into this. Jony Ive would obsess for many months on even

3:08 Ive would obsess for many months on even

3:08 Ive would obsess for many months on even the internal component design of iPhone.

3:11 the internal component design of iPhone.

3:11 the internal component design of iPhone. But you know, Steve Jobs never said,

3:14 But you know, Steve Jobs never said,

3:14 But you know, Steve Jobs never said, "Hey, this is costing us a lot of money.

3:17 "Hey, this is costing us a lot of money.

3:17 "Hey, this is costing us a lot of money. And who's going to pry open the iPhone?"

3:19 And who's going to pry open the iPhone?"

3:19 And who's going to pry open the iPhone?" But Steve knew this was the second

3:22 But Steve knew this was the second

3:22 But Steve knew this was the second curve. [music] So if the first curve is

3:24 curve. [music] So if the first curve is

3:24 curve. [music] So if the first curve is your zone of laziness, your second curve

3:27 your zone of laziness, your second curve

3:27 your zone of laziness, your second curve is your zone of obsession. Let's talk

3:30 is your zone of obsession. Let's talk

3:30 is your zone of obsession. Let's talk about how AI can help. The top 1% use AI

3:33 about how AI can help. The top 1% use AI

3:33 about how AI can help. The top 1% use AI on zone one or the zone of laziness. The

3:36 on zone one or the zone of laziness. The

3:36 on zone one or the zone of laziness. The more they outsource zone one to AI, the

3:40 more they outsource zone one to AI, the

3:40 more they outsource zone one to AI, the more they can focus [music] on zone two,

3:42 more they can focus [music] on zone two,

3:42 more they can focus [music] on zone two, the zone of obsession. So how do I

3:44 the zone of obsession. So how do I

3:44 the zone of obsession. So how do I decide what to outsource to AI and when?

3:47 decide what to outsource to AI and when?

3:47 decide what to outsource to AI and when? So for that, I use a very simple

3:49 So for that, I use a very simple

3:49 So for that, I use a very simple framework called DRAG framework, D R A

3:52 framework called DRAG framework, D R A

3:53 framework called DRAG framework, D R A G. Four categories of work you [music]

3:55 G. Four categories of work you [music]

3:55 G. Four categories of work you [music] immediately should delegate to AI so you

3:58 immediately should delegate to AI so you

3:58 immediately should delegate to AI so you can stay in your zone of obsession.

4:01 can stay in your zone of obsession.

4:01 can stay in your zone of obsession. First, D equals [music] drafting. This

4:04 First, D equals [music] drafting. This

4:04 First, D equals [music] drafting. This is the blank page problem we all face.

4:08 is the blank page problem we all face.

4:08 is the blank page problem we all face. It's hardest to get [music] from zero to

4:10 It's hardest to get [music] from zero to

4:10 It's hardest to get [music] from zero to one sometimes. AI can help here

4:13 one sometimes. AI can help here

4:13 one sometimes. AI can help here tremendously, actually. [music] Give it

4:14 tremendously, actually. [music] Give it

4:14 tremendously, actually. [music] Give it a prompt using the AIM protocol that

4:17 a prompt using the AIM protocol that

4:17 a prompt using the AIM protocol that I've shared before. Hey AI, act in

4:20 I've shared before. Hey AI, act in

4:20 I've shared before. Hey AI, act in [music] this role, use this input, and

4:22 [music] this role, use this input, and

4:22 [music] this role, use this input, and this is your mission. AIM. In that way,

4:25 this is your mission. AIM. In that way,

4:25 this is your mission. AIM. In that way, you get started very quickly on that

4:28 you get started very quickly on that

4:28 you get started very quickly on that email or code or presentation. And the

4:31 email or code or presentation. And the

4:31 email or code or presentation. And the first draft from AI will be crappy and

4:34 first draft from AI will be crappy and

4:34 first draft from AI will be crappy and atrocious, but that's fine. Now [music]

4:37 atrocious, but that's fine. Now [music]

4:37 atrocious, but that's fine. Now [music] you have a starting point. You're not

4:40 you have a starting point. You're not

4:40 you have a starting point. You're not staring at a blank page anymore. Now

4:42 staring at a blank page anymore. Now

4:42 staring at a blank page anymore. Now it'll trigger something in your brain

4:44 it'll trigger something in your brain

4:44 it'll trigger something in your brain and you're off to the races. R equals

4:47 and you're off to the races. R equals

4:47 and you're off to the races. R equals research. This helps you solve the

4:50 research. This helps you solve the

4:50 research. This helps you solve the information overload problem. Today, if

4:53 information overload problem. Today, if

4:53 information overload problem. Today, if something requires deep research,

4:55 something requires deep research,

4:55 something requires deep research, [music] it can be dramatically

4:56 [music] it can be dramatically

4:56 [music] it can be dramatically accelerated using AI. Summarization,

4:59 accelerated using AI. Summarization,

5:00 accelerated using AI. Summarization, extraction, competitive intel. You know,

5:02 extraction, competitive intel. You know,

5:02 extraction, competitive intel. You know, don't spend time doing that kind of

5:04 don't spend time doing that kind of

5:04 don't spend time doing that kind of research. Let your friendly neighborhood

5:06 research. Let your friendly neighborhood

5:06 research. Let your friendly neighborhood AI do it for [music] you. When you use

5:09 AI do it for [music] you. When you use

5:09 AI do it for [music] you. When you use the deep research feature on ChatGPT or

5:12 the deep research feature on ChatGPT or

5:12 the deep research feature on ChatGPT or Gemini or Claude, it fires off hundreds

5:15 Gemini or Claude, it fires off hundreds

5:15 Gemini or Claude, it fires off hundreds of secondary search queries. It goes out

5:18 of secondary search queries. It goes out

5:18 of secondary search queries. It goes out to the web like a spider and finds

5:20 to the web like a spider and finds

5:20 to the web like a spider and finds hundreds of sites, consolidates the

5:22 hundreds of sites, consolidates the

5:22 hundreds of sites, consolidates the results, even checks its own work by

5:25 results, even checks its own work by

5:25 results, even checks its own work by asking what's missing,

5:26 asking what's missing,

5:26 asking what's missing, >> [music]

5:27 >> [music]

5:27 >> [music] >> and follows up on its own to finally

5:30 >> and follows up on its own to finally

5:30 >> and follows up on its own to finally deliver a rich document to you. It's

5:32 deliver a rich document to you. It's

5:32 deliver a rich document to you. It's like you just hired a consultant for a

5:34 like you just hired a consultant for a

5:34 like you just hired a consultant for a week-long research project, but instead,

5:37 week-long research project, but instead,

5:37 week-long research project, but instead, you get there in 10 minutes. Third is A

5:40 you get there in 10 minutes. Third is A

5:40 you get there in 10 minutes. Third is A for analysis. Let AI take the first pass

5:43 for analysis. Let AI take the first pass

5:43 for analysis. Let AI take the first pass at analyzing, summarizing, reasoning,

5:46 at analyzing, summarizing, reasoning,

5:46 at analyzing, summarizing, reasoning, especially if it's all unstructured data

5:50 especially if it's all unstructured data

5:50 especially if it's all unstructured data because AI is going to find patterns

5:53 because AI is going to find patterns

5:53 because AI is going to find patterns that we humans aren't going to be able

5:54 that we humans aren't going to be able

5:54 that we humans aren't going to be able to. So use it for your advantage. And

5:57 to. So use it for your advantage. And

5:57 to. So use it for your advantage. And finally, G is for all the grunt work.

5:59 finally, G is for all the grunt work.

5:59 finally, G is for all the grunt work. Tasks like reformatting, translating,

6:03 Tasks like reformatting, translating,

6:03 Tasks like reformatting, translating, tabulating, cleaning data, and on and

6:06 tabulating, cleaning data, and on and

6:06 tabulating, cleaning data, and on and on. The boring manual work. Just give it

6:10 on. The boring manual work. Just give it

6:10 on. The boring manual work. Just give it to AI. So what's the key principle

6:11 to AI. So what's the key principle

6:12 to AI. So what's the key principle behind DRAG? Apply it only when you are

6:15 behind DRAG? Apply it only when you are

6:15 behind DRAG? Apply it only when you are in your zone one, that first curve. If

6:18 in your zone one, that first curve. If

6:18 in your zone one, that first curve. If it requires human interaction or

6:21 it requires human interaction or

6:21 it requires human interaction or judgment or intuition or decision-making

6:24 judgment or intuition or decision-making

6:24 judgment or intuition or decision-making or taste, that's curve two. That you've

6:27 or taste, that's curve two. That you've

6:28 or taste, that's curve two. That you've got to do it yourself. But you know, I

6:29 got to do it yourself. But you know, I

6:29 got to do it yourself. But you know, I have found that 70 or 80% of my

6:33 have found that 70 or 80% of my

6:33 have found that 70 or 80% of my repetitive tasks tend to be in zone one

6:36 repetitive tasks tend to be in zone one

6:36 repetitive tasks tend to be in zone one and you might find that too. So be lazy

6:39 and you might find that too. So be lazy

6:39 and you might find that too. So be lazy when you can use DRAG. Be obsessed for

6:42 when you can use DRAG. Be obsessed for

6:42 when you can use DRAG. Be obsessed for everything else. Step two, the

6:44 everything else. Step two, the

6:44 everything else. Step two, the intelligent hill. For 300 years, Isaac

6:48 intelligent hill. For 300 years, Isaac

6:48 intelligent hill. For 300 years, Isaac Newton convinced us that universe was a

6:51 Newton convinced us that universe was a

6:51 Newton convinced us that universe was a clockwork machine, predictable

6:54 clockwork machine, predictable

6:54 clockwork machine, predictable and certain. But in 1927, another

6:57 and certain. But in 1927, another

6:57 and certain. But in 1927, another scientist [music]

6:57 scientist [music]

6:57 scientist [music] named Heisenberg shattered those

7:00 named Heisenberg shattered those

7:00 named Heisenberg shattered those classical beliefs. He showed that our

7:03 classical beliefs. He showed that our

7:03 classical beliefs. He showed that our universe exists only as a cloud of

7:06 universe exists only as a cloud of

7:06 universe exists only as a cloud of possibilities at quantum level. It was a

7:09 possibilities at quantum level. It was a

7:09 possibilities at quantum level. It was a profound shift. [music] You and I have

7:11 profound shift. [music] You and I have

7:11 profound shift. [music] You and I have to make a similar shift when we use AI

7:14 to make a similar shift when we use AI

7:14 to make a similar shift when we use AI nowadays. The first trick is to stop

7:16 nowadays. The first trick is to stop

7:16 nowadays. The first trick is to stop treating AI like a [music] calculator.

7:19 treating AI like a [music] calculator.

7:19 treating AI like a [music] calculator. We like to live in a world with clear

7:21 We like to live in a world with clear

7:21 We like to live in a world with clear rules. You type 2 + 2 into a calculator

7:25 rules. You type 2 + 2 into a calculator

7:25 rules. You type 2 + 2 into a calculator and you get [music] four. Always. It's

7:27 and you get [music] four. Always. It's

7:27 and you get [music] four. Always. It's predictable. But AI is not a calculator.

7:30 predictable. But AI is not a calculator.

7:30 predictable. But AI is not a calculator. It's [music] a probability engine. If

7:32 It's [music] a probability engine. If

7:32 It's [music] a probability engine. If you ask the same question to AI again,

7:34 you ask the same question to AI again,

7:34 you ask the same question to AI again, it'll give you a completely different

7:35 it'll give you a completely different

7:35 it'll give you a completely different answer. It'll happily make things up for

7:37 answer. It'll happily make things up for

7:37 answer. It'll happily make things up for you unless you ask it to verify. AI is

7:40 you unless you ask it to verify. AI is

7:40 you unless you ask it to verify. AI is brilliant on some days, confused on

7:42 brilliant on some days, confused on

7:42 brilliant on some days, confused on others, but on any given day, it refuses

7:45 others, but on any given day, it refuses

7:45 others, but on any given day, it refuses to admit that it doesn't know the

7:46 to admit that it doesn't know the

7:47 to admit that it doesn't know the answer. It loves to make things up. So

7:49 answer. It loves to make things up. So

7:49 answer. It loves to make things up. So you don't just ask AI the way you ask a

7:52 you don't just ask AI the way you ask a

7:52 you don't just ask AI the way you ask a normal human being. You have to

7:54 normal human being. You have to

7:54 normal human being. You have to architect your questions very carefully.

7:56 architect your questions very carefully.

7:56 architect your questions very carefully. Now most people use a tactic called

7:58 Now most people use a tactic called

7:58 Now most people use a tactic called zero-shot prompting. So for example,

8:01 zero-shot prompting. So for example,

8:01 zero-shot prompting. So for example, they would ask, "Give me the best new

8:03 they would ask, "Give me the best new

8:03 they would ask, "Give me the best new business idea." And of course, AI will

8:06 business idea." And of course, AI will

8:06 business idea." And of course, AI will dish out a response and tell you why

8:08 dish out a response and tell you why

8:08 dish out a response and tell you why it's the greatest idea in the world, but

8:10 it's the greatest idea in the world, but

8:10 it's the greatest idea in the world, but you're literally rolling the dice and

8:13 you're literally rolling the dice and

8:13 you're literally rolling the dice and looking to win. To get elite results

8:15 looking to win. To get elite results

8:15 looking to win. To get elite results though, you must climb the intelligent

8:18 though, you must climb the intelligent

8:18 though, you must climb the intelligent hill. There are four camps on the way.

8:21 hill. There are four camps on the way.

8:21 hill. There are four camps on the way. Each camp will show you a different way

8:24 Each camp will show you a different way

8:24 Each camp will show you a different way to work with AI. Our first camp is

8:26 to work with AI. Our first camp is

8:26 to work with AI. Our first camp is called one-shot prompting. When you

8:29 called one-shot prompting. When you

8:29 called one-shot prompting. When you prompt, give one [music]

8:30 prompt, give one [music]

8:30 prompt, give one [music] clear example so the model doesn't guess

8:33 clear example so the model doesn't guess

8:33 clear example so the model doesn't guess blindly. So the prompt would look like,

8:36 blindly. So the prompt would look like,

8:36 blindly. So the prompt would look like, "Write a LinkedIn post about remote

8:38 "Write a LinkedIn post about remote

8:38 "Write a LinkedIn post about remote work. Use this specific post as a style

8:42 work. Use this specific post as a style

8:42 work. Use this specific post as a style guide."

8:42 guide."

8:42 guide." >> [music]

8:42 >> [music]

8:42 >> [music] >> And so give it a post, give it an

8:44 >> And so give it a post, give it an

8:44 >> And so give it a post, give it an example, and paste that post in the

8:47 example, and paste that post in the

8:47 example, and paste that post in the prompt as a reference. And that simple

8:50 prompt as a reference. And that simple

8:50 prompt as a reference. And that simple act is already an upgrade than rolling

8:53 act is already an upgrade than rolling

8:53 act is already an upgrade than rolling the dice blindly. Second camp, few-shot

8:56 the dice blindly. Second camp, few-shot

8:56 the dice blindly. Second camp, few-shot prompting. Now here you give AI three or

9:00 prompting. Now here you give AI three or

9:00 prompting. Now here you give AI three or more examples so it can find patterns of

9:03 more examples so it can find patterns of

9:03 more examples so it can find patterns of style and substance and tone that you

9:06 style and substance and tone that you

9:06 style and substance and tone that you desire. Attach documents, links, data,

9:10 desire. Attach documents, links, data,

9:10 desire. Attach documents, links, data, or your prior work. This is called

9:13 or your prior work. This is called

9:13 or your prior work. This is called grounding the model. So basically it

9:15 grounding the model. So basically it

9:15 grounding the model. So basically it stops fantasizing and hallucinating and

9:18 stops fantasizing and hallucinating and

9:18 stops fantasizing and hallucinating and gets grounded to reality. Here's an

9:21 gets grounded to reality. Here's an

9:21 gets grounded to reality. Here's an example of a prompt. Here are the five

9:24 example of a prompt. Here are the five

9:24 example of a prompt. Here are the five of my previous presentations and now

9:26 of my previous presentations and now

9:27 of my previous presentations and now write a new presentation based on my

9:29 write a new presentation based on my

9:29 write a new presentation based on my tone of voice on topic XYZ. And here's a

9:33 tone of voice on topic XYZ. And here's a

9:33 tone of voice on topic XYZ. And here's a pro tip. Ask the AI to explain the

9:36 pro tip. Ask the AI to explain the

9:36 pro tip. Ask the AI to explain the pattern back to you first. That way AI

9:38 pattern back to you first. That way AI

9:38 pattern back to you first. That way AI is forced to articulate what it's doing

9:41 is forced to articulate what it's doing

9:41 is forced to articulate what it's doing and more importantly, you're forced to

9:43 and more importantly, you're forced to

9:43 and more importantly, you're forced to learn how your brain works. How did it

9:45 learn how your brain works. How did it

9:45 learn how your brain works. How did it come up with those patterns? [music] Now

9:47 come up with those patterns? [music] Now

9:47 come up with those patterns? [music] Now you're being smart about being smart.

9:50 you're being smart about being smart.

9:50 you're being smart about being smart. Now let's move to the third camp. This

9:52 Now let's move to the third camp. This

9:52 Now let's move to the third camp. This one is called chain of thought

9:54 one is called chain of thought

9:54 one is called chain of thought reasoning. Again, fancy name, but the

9:56 reasoning. Again, fancy name, but the

9:56 reasoning. Again, fancy name, but the idea is simple. Ask the model to think

9:59 idea is simple. Ask the model to think

9:59 idea is simple. Ask the model to think long and hard before it responds. Your

10:01 long and hard before it responds. Your

10:01 long and hard before it responds. Your job is to slow AI down. Enforce explicit

10:06 job is to slow AI down. Enforce explicit

10:06 job is to slow AI down. Enforce explicit clarity by asking it to show its work.

10:08 clarity by asking it to show its work.

10:08 clarity by asking it to show its work. That's all there is. This is also a good

10:10 That's all there is. This is also a good

10:10 That's all there is. This is also a good way to reduce hallucinations, of course.

10:12 way to reduce hallucinations, of course.

10:12 way to reduce hallucinations, of course. So, let's say you're working on some

10:14 So, let's say you're working on some

10:14 So, let's say you're working on some report, and so you attach it and write a

10:17 report, and so you attach it and write a

10:18 report, and so you attach it and write a prompt that could look like this. Do not

10:20 prompt that could look like this. Do not

10:20 prompt that could look like this. Do not refine my research report yet. List the

10:22 refine my research report yet. List the

10:22 refine my research report yet. List the top three most impactful areas of

10:25 top three most impactful areas of

10:25 top three most impactful areas of improvement after we analyze it. Tell me

10:27 improvement after we analyze it. Tell me

10:27 improvement after we analyze it. Tell me why you think so and suggest how we

10:29 why you think so and suggest how we

10:29 why you think so and suggest how we address each. Think step-by-step. Show

10:32 address each. Think step-by-step. Show

10:32 address each. Think step-by-step. Show me your thinking for each step. That

10:34 me your thinking for each step. That

10:34 me your thinking for each step. That last line is the most important one. And

10:37 last line is the most important one. And

10:37 last line is the most important one. And our fourth and final camp is agents.

10:40 our fourth and final camp is agents.

10:40 our fourth and final camp is agents. According to Salesforce, AI agents help

10:42 According to Salesforce, AI agents help

10:43 According to Salesforce, AI agents help drive $67 billion in global sales during

10:46 drive $67 billion in global sales during

10:46 drive $67 billion in global sales during Cyber Week alone. [music]

10:48 Cyber Week alone. [music]

10:48 Cyber Week alone. [music] So,

10:49 So,

10:49 So, agents are already here. The best way to

10:52 agents are already here. The best way to

10:52 agents are already here. The best way to think about agents is to think about who

10:54 think about agents is to think about who

10:54 think about agents is to think about who you would hire for a task. So, let's say

10:57 you would hire for a task. So, let's say

10:57 you would hire for a task. So, let's say if you wanted to hire a researcher, an

10:59 if you wanted to hire a researcher, an

10:59 if you wanted to hire a researcher, an analyst,

11:00 analyst,

11:00 analyst, >> [music]

11:00 >> [music]

11:00 >> [music] >> and a copywriter. You can do that with a

11:02 >> and a copywriter. You can do that with a

11:02 >> and a copywriter. You can do that with a single agentic prompt that looks like

11:05 single agentic prompt that looks like

11:05 single agentic prompt that looks like this. Do deep research on trends on

11:08 this. Do deep research on trends on

11:08 this. Do deep research on trends on topic XYZ, analyze and cross-reference

11:12 topic XYZ, analyze and cross-reference

11:12 topic XYZ, analyze and cross-reference all the trends to find the three most

11:14 all the trends to find the three most

11:14 all the trends to find the three most important ones, and draft a one-page

11:17 important ones, and draft a one-page

11:17 important ones, and draft a one-page memo summarizing the findings. Now, what

11:20 memo summarizing the findings. Now, what

11:20 memo summarizing the findings. Now, what is actionable? Try this framework

11:22 is actionable? Try this framework

11:22 is actionable? Try this framework tonight. Open your favorite AI app and

11:25 tonight. Open your favorite AI app and

11:25 tonight. Open your favorite AI app and take any prompt that you were about to

11:28 take any prompt that you were about to

11:28 take any prompt that you were about to use. Just try to get to the next camp.

11:30 use. Just try to get to the next camp.

11:30 use. Just try to get to the next camp. That's how you start climbing up the

11:32 That's how you start climbing up the

11:32 That's how you start climbing up the intelligent hill. Remember, when you are

11:34 intelligent hill. Remember, when you are

11:35 intelligent hill. Remember, when you are dealing with a drunk genius, make sure

11:38 dealing with a drunk genius, make sure

11:38 dealing with a drunk genius, make sure you're the one driving the car. So, now,

11:41 you're the one driving the car. So, now,

11:41 you're the one driving the car. So, now, at this point, everything we've done has

11:43 at this point, everything we've done has

11:43 at this point, everything we've done has made you fast and efficient. You're

11:46 made you fast and efficient. You're

11:46 made you fast and efficient. You're delegating better, you're prompting

11:48 delegating better, you're prompting

11:48 delegating better, you're prompting smarter, you're moving up the hill, and

11:51 smarter, you're moving up the hill, and

11:51 smarter, you're moving up the hill, and there's less friction than before. And

11:53 there's less friction than before. And

11:53 there's less friction than before. And that's exactly where most people would

11:56 that's exactly where most people would

11:56 that's exactly where most people would stop. But, here's a plot twist. The top

11:58 stop. But, here's a plot twist. The top

11:58 stop. But, here's a plot twist. The top 1% go one step further. They slow things

12:02 1% go one step further. They slow things

12:02 1% go one step further. They slow things down deliberately. Why is that

12:04 down deliberately. Why is that

12:05 down deliberately. Why is that important? The trick that top 1% know is

12:07 important? The trick that top 1% know is

12:07 important? The trick that top 1% know is this. They know when to shift the gear

12:09 this. They know when to shift the gear

12:09 this. They know when to shift the gear because long-term intelligence isn't

12:12 because long-term intelligence isn't

12:12 because long-term intelligence isn't built through convenience, it's built

12:14 built through convenience, it's built

12:14 built through convenience, it's built through resistance. And that's why we

12:17 through resistance. And that's why we

12:17 through resistance. And that's why we need to go to step three,

12:18 need to go to step three,

12:18 need to go to step three, >> [music]

12:19 >> [music]

12:19 >> [music] >> the intelligent gym. Most people use AI

12:23 >> the intelligent gym. Most people use AI

12:23 >> the intelligent gym. Most people use AI as wheelchair for the mind. And if you

12:25 as wheelchair for the mind. And if you

12:25 as wheelchair for the mind. And if you sit in a wheelchair when you can still

12:27 sit in a wheelchair when you can still

12:27 sit in a wheelchair when you can still walk, eventually, your legs stop

12:30 walk, eventually, your legs stop

12:30 walk, eventually, your legs stop working.

12:31 working.

12:31 working. Atrophy. And today, it's happening

12:33 Atrophy. And today, it's happening

12:33 Atrophy. And today, it's happening faster than at any point in human

12:36 faster than at any point in human

12:36 faster than at any point in human history. But, the top 1% use a very

12:38 history. But, the top 1% use a very

12:38 history. But, the top 1% use a very different principle. For information

12:40 different principle. For information

12:41 different principle. For information tasks, use AI to remove friction. For

12:44 tasks, use AI to remove friction. For

12:44 tasks, use AI to remove friction. For transformation tasks, use AI to add

12:47 transformation tasks, use AI to add

12:47 transformation tasks, use AI to add friction. When you go to a physical gym,

12:49 friction. When you go to a physical gym,

12:49 friction. When you go to a physical gym, [music] we all know how muscles are

12:51 [music] we all know how muscles are

12:51 [music] we all know how muscles are built, right? Through resistance. You

12:54 built, right? Through resistance. You

12:54 built, right? Through resistance. You lift increasingly heavier weights to

12:57 lift increasingly heavier weights to

12:57 lift increasingly heavier weights to introduce wear and tear to your muscle

12:58 introduce wear and tear to your muscle

12:58 introduce wear and tear to your muscle fibers, so they break and they grow back

13:01 fibers, so they break and they grow back

13:01 fibers, so they break and they grow back stronger. That is called progressive

13:04 stronger. That is called progressive

13:04 stronger. That is called progressive overload. But, when it comes to our

13:06 overload. But, when it comes to our

13:06 overload. But, when it comes to our minds, we do the exact opposite somehow.

13:09 minds, we do the exact opposite somehow.

13:09 minds, we do the exact opposite somehow. We avoid resistance. We use AI to

13:12 We avoid resistance. We use AI to

13:12 We avoid resistance. We use AI to outsource our thinking. Write my

13:14 outsource our thinking. Write my

13:14 outsource our thinking. Write my LinkedIn post, fix my resume, summarize

13:17 LinkedIn post, fix my resume, summarize

13:17 LinkedIn post, fix my resume, summarize this book. That's like going to the gym

13:20 this book. That's like going to the gym

13:20 this book. That's like going to the gym and asking someone else to lift weights

13:22 and asking someone else to lift weights

13:22 and asking someone else to lift weights on your behalf. You know, when

13:25 on your behalf. You know, when

13:25 on your behalf. You know, when astronauts spend months in zero gravity,

13:28 astronauts spend months in zero gravity,

13:28 astronauts spend months in zero gravity, their muscles and bones atrophy

13:31 their muscles and bones atrophy

13:31 their muscles and bones atrophy dramatically, up to 20%. AI is like zero

13:35 dramatically, up to 20%. AI is like zero

13:35 dramatically, up to 20%. AI is like zero gravity for your thinking. No friction,

13:39 gravity for your thinking. No friction,

13:39 gravity for your thinking. No friction, no load, no growth. The intelligent gym

13:42 no load, no growth. The intelligent gym

13:42 no load, no growth. The intelligent gym is not about information. It's about

13:44 is not about information. It's about

13:44 is not about information. It's about transformation. For things where you

13:47 transformation. For things where you

13:47 transformation. For things where you need to be smart and capable, you can

13:49 need to be smart and capable, you can

13:49 need to be smart and capable, you can think of AI as your spotter. In any gym,

13:52 think of AI as your spotter. In any gym,

13:53 think of AI as your spotter. In any gym, a spotter doesn't lift the weight for

13:54 a spotter doesn't lift the weight for

13:54 a spotter doesn't lift the weight for you.

13:55 you.

13:55 you. They stand next to you and help you

13:57 They stand next to you and help you

13:57 They stand next to you and help you lift. They also make sure that you don't

14:00 lift. They also make sure that you don't

14:00 lift. They also make sure that you don't get crushed when you're lifting the

14:02 get crushed when you're lifting the

14:02 get crushed when you're lifting the weight. So, do the same with AI. Here's

14:05 weight. So, do the same with AI. Here's

14:05 weight. So, do the same with AI. Here's a concrete example. If you want to learn

14:09 a concrete example. If you want to learn

14:09 a concrete example. If you want to learn a concept, study it first yourself, and

14:13 a concept, study it first yourself, and

14:13 a concept, study it first yourself, and then go to your spotter, your AI. Paste

14:16 then go to your spotter, your AI. Paste

14:16 then go to your spotter, your AI. Paste the concept text, and then prompt AI. I

14:18 the concept text, and then prompt AI. I

14:18 the concept text, and then prompt AI. I need to master this concept. Quiz me on

14:21 need to master this concept. Quiz me on

14:21 need to master this concept. Quiz me on it. And now comes the most important

14:23 it. And now comes the most important

14:23 it. And now comes the most important part of your intelligent gym. Ask AI to

14:26 part of your intelligent gym. Ask AI to

14:26 part of your intelligent gym. Ask AI to apply progressive overload. Four levels.

14:29 apply progressive overload. Four levels.

14:29 apply progressive overload. Four levels. Level one, quiz me like I am a high

14:31 Level one, quiz me like I am a high

14:31 Level one, quiz me like I am a high school student. Level two,

14:34 school student. Level two,

14:34 school student. Level two, ask me questions like I am a college

14:36 ask me questions like I am a college

14:36 ask me questions like I am a college student. Level three,

14:37 student. Level three,

14:38 student. Level three, now grill me like you're interviewing me

14:40 now grill me like you're interviewing me

14:40 now grill me like you're interviewing me for an executive job. And level four,

14:42 for an executive job. And level four,

14:42 for an executive job. And level four, now challenge me like an irate boss who

14:45 now challenge me like an irate boss who

14:45 now challenge me like an irate boss who thinks I'm unprepared. So, that truly

14:47 thinks I'm unprepared. So, that truly

14:47 thinks I'm unprepared. So, that truly strengthens and deepens your

14:49 strengthens and deepens your

14:49 strengthens and deepens your understanding on that concept. So, now

14:51 understanding on that concept. So, now

14:51 understanding on that concept. So, now we have covered three key steps to learn

14:54 we have covered three key steps to learn

14:54 we have covered three key steps to learn how the top 1% become smarter [music]

14:56 how the top 1% become smarter [music]

14:56 how the top 1% become smarter [music] by using AI. But, there is one internal

14:59 by using AI. But, there is one internal

14:59 by using AI. But, there is one internal adjustment that changes everything, and

15:01 adjustment that changes everything, and

15:01 adjustment that changes everything, and that is our final step. Step number

15:04 that is our final step. Step number

15:04 that is our final step. Step number four, the intelligent fool. You know,

15:07 four, the intelligent fool. You know,

15:07 four, the intelligent fool. You know, the biggest obstacle to intelligence

15:10 the biggest obstacle to intelligence

15:10 the biggest obstacle to intelligence isn't ignorance, it's ego. That's why

15:13 isn't ignorance, it's ego. That's why

15:13 isn't ignorance, it's ego. That's why the smartest people are obsessed with

15:16 the smartest people are obsessed with

15:16 the smartest people are obsessed with what they don't know. And this is what I

15:18 what they don't know. And this is what I

15:18 what they don't know. And this is what I call the fool's advantage. [music] Let

15:21 call the fool's advantage. [music] Let

15:21 call the fool's advantage. [music] Let me give you an example. Microsoft went

15:23 me give you an example. Microsoft went

15:23 me give you an example. Microsoft went from $300 billion

15:25 from $300 billion

15:25 from $300 billion to $300 trillion in market cap [music]

15:28 to $300 trillion in market cap [music]

15:28 to $300 trillion in market cap [music] with just one mental cultural shift.

15:32 with just one mental cultural shift.

15:32 with just one mental cultural shift. When Satya Nadella became the CEO of

15:34 When Satya Nadella became the CEO of

15:34 When Satya Nadella became the CEO of Microsoft in [music] 2014, they had

15:37 Microsoft in [music] 2014, they had

15:37 Microsoft in [music] 2014, they had missed two huge disruptions, search and

15:40 missed two huge disruptions, search and

15:40 missed two huge disruptions, search and mobile. The cloud race was ongoing, but

15:43 mobile. The cloud race was ongoing, but

15:43 mobile. The cloud race was ongoing, but it was slipping away from them with

15:45 it was slipping away from them with

15:45 it was slipping away from them with Amazon becoming the 800-lb gorilla,

15:47 Amazon becoming the 800-lb gorilla,

15:47 Amazon becoming the 800-lb gorilla, [music]

15:47 [music]

15:47 [music] and the culture inside the company was

15:50 and the culture inside the company was

15:50 and the culture inside the company was toxic and political, and everyone was

15:53 toxic and political, and everyone was

15:53 toxic and political, and everyone was terrified to admit that there were gaps

15:55 terrified to admit that there were gaps

15:55 terrified to admit that there were gaps [music] in their knowledge. Satya made

15:58 [music] in their knowledge. Satya made

15:58 [music] in their knowledge. Satya made one cultural move. He told the entire

16:00 one cultural move. He told the entire

16:00 one cultural move. He told the entire company, "We're switching from a culture

16:03 company, "We're switching from a culture

16:03 company, "We're switching from a culture of know-it-alls

16:05 of know-it-alls

16:05 of know-it-alls to learn-it-alls." A complete reboot of

16:08 to learn-it-alls." A complete reboot of

16:08 to learn-it-alls." A complete reboot of Microsoft culture. The smartest people

16:10 Microsoft culture. The smartest people

16:10 Microsoft culture. The smartest people in the room were finally given

16:12 in the room were finally given

16:12 in the room were finally given permission to say,

16:14 permission to say,

16:14 permission to say, "I don't know." Or, "I was [music]

16:15 "I don't know." Or, "I was [music]

16:16 "I don't know." Or, "I was [music] wrong." And to embrace that beginner's

16:18 wrong." And to embrace that beginner's

16:18 wrong." And to embrace that beginner's mind. Now, Wall Street was skeptical at

16:22 mind. Now, Wall Street was skeptical at

16:22 mind. Now, Wall Street was skeptical at first, but the market cap eventually

16:24 first, but the market cap eventually

16:24 first, but the market cap eventually went from $300 billion

16:26 went from $300 billion

16:26 went from $300 billion >> [music]

16:26 >> [music]

16:26 >> [music] >> to over $3 trillion. And it keeps

16:28 >> to over $3 trillion. And it keeps

16:28 >> to over $3 trillion. And it keeps growing. 10x growth in a decade. And

16:31 growing. 10x growth in a decade. And

16:31 growing. 10x growth in a decade. And here's why this matters. [music]

16:33 here's why this matters. [music]

16:33 here's why this matters. [music] Neuroscience tells us that our brain can

16:35 Neuroscience tells us that our brain can

16:35 Neuroscience tells us that our brain can rewire all the time. It's called

16:38 rewire all the time. It's called

16:38 rewire all the time. It's called neuroplasticity. This rewiring happens

16:41 neuroplasticity. This rewiring happens

16:41 neuroplasticity. This rewiring happens only at the edge of your ability. It

16:43 only at the edge of your ability. It

16:44 only at the edge of your ability. It happens when you are making errors. It

16:46 happens when you are making errors. It

16:46 happens when you are making errors. It happens [music] when you're frustrated,

16:48 happens [music] when you're frustrated,

16:48 happens [music] when you're frustrated, when you're feeling that discomfort. And

16:50 when you're feeling that discomfort. And

16:50 when you're feeling that discomfort. And if you aren't feeling stupid, you aren't

16:53 if you aren't feeling stupid, you aren't

16:53 if you aren't feeling stupid, you aren't learning. And aren't you glad that AI

16:55 learning. And aren't you glad that AI

16:56 learning. And aren't you glad that AI has just handed you the ultimate

16:58 has just handed you the ultimate

16:58 has just handed you the ultimate training ground to be a student again?

17:00 training ground to be a student again?

17:00 training ground to be a student again? You can bring your beginner's mind to AI

17:03 You can bring your beginner's mind to AI

17:03 You can bring your beginner's mind to AI all day long. Ask questions you would

17:05 all day long. Ask questions you would

17:05 all day long. Ask questions you would never ask your colleagues out of fear of

17:07 never ask your colleagues out of fear of

17:07 never ask your colleagues out of fear of embarrassment. AI doesn't roll its eyes.

17:10 embarrassment. AI doesn't roll its eyes.

17:10 embarrassment. AI doesn't roll its eyes. Pick one thing that you don't understand

17:12 Pick one thing that you don't understand

17:12 Pick one thing that you don't understand in your field, something that everyone

17:14 in your field, something that everyone

17:14 in your field, something that everyone else thinks you know, but you know you

17:16 else thinks you know, but you know you

17:16 else thinks you know, but you know you don't. And then ask AI the most basic

17:19 don't. And then ask AI the most basic

17:19 don't. And then ask AI the most basic questions about that topic [music] that

17:21 questions about that topic [music] that

17:21 questions about that topic [music] that you can think of. And then ask, "Can you

17:23 you can think of. And then ask, "Can you

17:23 you can think of. And then ask, "Can you explain it to me in a simpler way? Teach

17:26 explain it to me in a simpler way? Teach

17:26 explain it to me in a simpler way? Teach me like I am 10 years old." I ask these

17:28 me like I am 10 years old." I ask these

17:28 me like I am 10 years old." I ask these questions all the time. In fact, I ask

17:30 questions all the time. In fact, I ask

17:30 questions all the time. In fact, I ask three times in a row to simplify again

17:33 three times in a row to simplify again

17:33 three times in a row to simplify again and again. And sure, I guarantee you,

17:35 and again. And sure, I guarantee you,

17:35 and again. And sure, I guarantee you, you'll feel ridiculous at first. I do

17:38 you'll feel ridiculous at first. I do

17:38 you'll feel ridiculous at first. I do all the time. But, that's the whole

17:40 all the time. But, that's the whole

17:40 all the time. But, that's the whole point. Have the courage to play the fool

17:43 point. Have the courage to play the fool

17:43 point. Have the courage to play the fool today so you can be the genius tomorrow.

17:45 today so you can be the genius tomorrow.

17:45 today so you can be the genius tomorrow. The trick to mastery is going back to

17:48 The trick to mastery is going back to

17:48 The trick to mastery is going back to simplicity itself. [music]

17:49 simplicity itself. [music]

17:49 simplicity itself. [music] If you examine some of the greatest

17:51 If you examine some of the greatest

17:51 If you examine some of the greatest masters across human history, you'll see

17:54 masters across human history, you'll see

17:54 masters across human history, you'll see one consistent pattern. Every master is

17:57 one consistent pattern. Every master is

17:57 one consistent pattern. Every master is a student for life. And you can be a

18:00 a student for life. And you can be a

18:00 a student for life. And you can be a genuine student [music] if you're hiding

18:02 genuine student [music] if you're hiding

18:02 genuine student [music] if you're hiding behind a mask of mastery. You know, the

18:04 behind a mask of mastery. You know, the

18:04 behind a mask of mastery. You know, the biggest benefit of intelligence is not

18:07 biggest benefit of intelligence is not

18:07 biggest benefit of intelligence is not the end of ignorance, it's the end of

18:09 the end of ignorance, it's the end of

18:09 the end of ignorance, it's the end of pretending.

18:10 pretending.

18:10 pretending. You know,

18:11 You know,

18:11 You know, we're surrounded by endless images of

18:15 we're surrounded by endless images of

18:15 we're surrounded by endless images of flawless people in their flawless poses,

18:18 flawless people in their flawless poses,

18:19 flawless people in their flawless poses, flawlessly photoshopped. But,

18:21 flawlessly photoshopped. But,

18:21 flawlessly photoshopped. But, in the end, all art is about asymmetry.

18:25 in the end, all art is about asymmetry.

18:25 in the end, all art is about asymmetry. We're beautiful because we're broken.

18:28 We're beautiful because we're broken.

18:28 We're beautiful because we're broken. Because the real purpose of

18:30 Because the real purpose of

18:30 Because the real purpose of intelligence, of this thing called life,

18:33 intelligence, of this thing called life,

18:33 intelligence, of this thing called life, is to travel far and wide only to return

18:36 is to travel far and wide only to return

18:36 is to travel far and wide only to return to yourself

18:37 to yourself

18:37 to yourself >> [music]

18:37 >> [music]

18:37 >> [music] >> and fully accept who you are.

18:41 >> and fully accept who you are.

18:41 >> and fully accept who you are. That is your truest intelligence. If you

18:44 That is your truest intelligence. If you

18:44 That is your truest intelligence. If you like this video,

18:45 like this video,

18:45 like this video, >> [music]

18:45 >> [music]

18:45 >> [music] >> don't forget to subscribe. And if you

18:47 >> don't forget to subscribe. And if you

18:47 >> don't forget to subscribe. And if you want to use AI to start a business,

18:49 want to use AI to start a business,

18:49 want to use AI to start a business, here's another video where I walk you

18:51 here's another video where I walk you

18:52 here's another video where I walk you through exactly what I would do.

18:54 through exactly what I would do.

18:54 through exactly what I would do. Thank you,

18:55 Thank you,

18:55 Thank you, and I love you.