AI can teach you almost ANYTHING.. Here is how

AI Learning Principles

00:00How is it that some people can learn in just a day what other people take weeks or months to learn? And how can we use AI to positively augment our learning as opposed to confuse us, reduce our focus, and destroy our attention spans? Well, in this video, I'm going to show you everything that you need to know about how to use AI to learn anything in the modern era and just a fraction of the time.

00:15I use these tactics in order to build a business that does over $400,000 a month. I also went to school for behavioral neuroscience and this is exactly what we focused on. It's how to use technology to augment and improve our ability to learn.

00:22Uh it was by far the subject I was I was most interested in. And so I use this sort of stuff all the time to help people, yourself included, you know, learn things faster. So before we get into how to actually use AI to learn, it's important to understand how human beings actually learn because I feel like a lot of people, you know, they they misunderstand this part.

00:38And if you misunderstand this part, it will lead to a bunch of downstream issues in, you know, productive and effective learning. You know, most people believe that you learn through consumption, which is where you will read something. Okay, you will watch something like this video or you'll get it explained to you say via an AI bot or a chatbot.

01:00And the issue is this feels like learning, right? But the way the human beings actually learn, the way the you know memory encoding mechanisms in our brain uh and the retrieval mechanisms in our mind actually work is based off of production.

01:07And so this involves recalling things actively, predicting things actively, explaining things actively, and even attempting to do things out there in the real world. Okay? Okay. And this feels way harder, which is why our brains constantly trying to preserve energy avoid that.

01:27But when you understand this distinction, you also understand what leads people to being extremely effective learners versus uh ineffective learners. You know, there have been a bunch of studies done on this subject. One of them showed that, you know, if you were to reread some source document four times and then get quizzed on it 5 minutes later, you would remember 83% of the source document.

01:44Okay? So, you'd think, "Wow, I've only lost 17% of that. That's pretty good, right?" Likewise, if you know you read a document once and then you are tested on that three times immediately after, 5 minutes later you'll remember 71%. But the thing that we're most interested in is not how much are you going to remember in 5 minutes, right?

01:56The thing that you're most interested in is how much are you going to remember in a week or a month or a year. How deeply will the things that you've learned stick with you for the rest of your life? And when a person rereads some source document four times, which many of us will do, right?

02:14Thinking that rereading the source document will teach us things and make us learn it, in a week they only remember 40%. Whereas actively producing and testing gets you closer to 61%. Meaning there was a decay of only 10% in the read once, test three times group, whereas there's a decay of I mean, gez, at least 50% in the rereading it a bunch of times group.

02:33Okay, so I'm sure people have probably talked all day about this sort of result to you and it's just glossed in one ear out the other. Um, but the reality is active production is ultimately how you learn. And so the whole idea of using AI to learn faster and better is actually augmenting your ability to actively produce things, not just necessarily passively read things.

02:55There are many different roles that artificial intelligence can play for us. The issue is most people will only have ever used one. They use the explainer role which is where you've tried to understand something you're a little bit stuck and so maybe you paste in the source document to AI and you say hey I'm stuck can you help me out explain this in a different way the issue with that is first as we see already that's a passive consumption mechanism you're just reading the second is that that's only one of about 10 different roles

03:22that an AI can help you play and those other nine roles are primarily focused on your ability to produce information so if all you've ever done with AI is you've had explain things to you in a really simple manner. Not only are you only, you know, scratching the surface of what is truly possible in consumption versus production, but you also have nine other fundamentally different mechanisms that you're just leaving on the table.

03:38And so I'm going to cover these nine mechanisms. The first is the

AI Learning Roles

03:46interviewer. That's when you're starting out and you're unsure of what you need. You don't even know enough to know what you don't know. So you just have an AI who has a shallow knowledge of virtually everything in existence ask you questions to determine what direction you want to go uh what your state of learning is right now and so on and so forth.

03:57The mapmaker is where you know you're just starting a subject. It feels really shapeless. You don't have a defined curriculum in place. And as we know if you put a road map in front of most people they'll be able to do a thing but if they don't have a road map they don't know where to go.

04:12Often times they're they're lost. They'll just be swimming you know listlessly in the water. Well the mapmaker can help you figure out where to go. We can essentially produce a curriculum for you. I'll show you guys how to do that in a moment.

04:19How about the Socratic questioner? This is where you think you understand a topic. The Socratic questioner allows you to better develop your understanding of the topic by forcing you to actively produce. Or an examiner. You know, you've covered a topic fully.

04:35You want to figure out how much you actually get of a topic. You want to score yourself with some percentage. Well, that's what AI can do for you. It can literally be essentially an oral or verbal or written examiner just like you used to have back in the good old days.

04:44you know, 16, 1700s university where you'd be doing your thesis defense in front of a bunch of people. You can do that now with AI. How about a checker? You know, maybe as part of your learning, you've made something. Well, you can actually have AI verify certain domains to ensure that your knowledge was effective in producing the outcome that you want.

04:58Maybe a listener where you explain it back, but in your own words, AI then helps you determine the gap based off of its understanding of the topic. More generally, there's diagnosticians where, you know, if you have the same mistake that keeps on coming up in your learning, you can now actually ask your AI agent, and I'll show you how.

05:14Hey, you know, I want you to go through the last five or 10 or 20 conversations we had about this subject. What am I persistently getting wrong? What do I persistently need to understand to patch these holes in my in my knowledge? How about a sparring partner?

05:26A lot of the time, you're learning a skill because it is a real world applicable thing. You want to public speak. Maybe, you know, you're preparing for an interview. Maybe you're trying to crush the, you know, elite code circuit. Well, you can actually have a sparring partner with which to, you know, assist you on that and basically simulate things.

05:42And finally, clerk, how many hours have you spent just coming up with notes and trying to keep track of all this information that you've digitized? You don't need to do that anymore. AI can do all of that for you. And so, what I'm going to do is I'm going to show you guys how to apply AI in all of these different ways and ultimately improve your learning from a scientific perspective, not just a thing that sounds nice like most other people will.

05:58A really simple example of this is

Spaced Repetition Strategy

06:06something termed space repetition. For those of you guys that don't know, okay, if the y-axis here is how strong your memory of a subject is, and then the x-axis is the amount of time since you learned the thing, okay, you can see that when you learn the thing initially, you have a lot of memory for that thing.

06:23You've you've really consolidated that thing. But when you don't review it periodically, what happens is the strength of that memory decays almost as like this this inverse exponential. And so spaced repetition is the process whereby you consult frequently with the thing that you learned.

06:38You actively produce that knowledge. Let's say you're trying to learn how a car engine works. And then based off of what's called the Ebinghouse forgetting curve, which is this uh psychological idea developed, you know, and something years ago, you test yourself on a structure on a basis every now and then using, you know, AI or another tool uh to ask yourself how the hell does this engine actually work?

07:00Okay, the pistons, the cylinders, what are the four stages of combustion, you know, intake and so on and so forth. And then in that way, your memory actually gets extremely strong. And as you see, every time you, you know, repeat this spaced repetition thing, which I'm going to talk a little bit about in a moment, um, two things occur.

07:08One, the memory lasts a lot longer. You can see the slope of this curve is actually a lot less steep. And two, it never dips as far down. And so the strength of the base memory just gets stronger and stronger. This also means that in just a few moments of studying a topic, you can usually remember it far more than if you were to like wait this whole time and then have to restudy it again from scratch.

07:32Right? So that's just one of many ways that you can use AI. Um AI can write your flash cards for you. It can keep a schedule or you can use an app like an it can turn any mistakes you make during a sparring session or some sort of listening session into new cards for you to review.

07:39Um you know I'm going to give you guys some prompts and stuff like that that you can use for that sort of thing as well. Uh but the whole idea is you know this is one simple example of how AI can help you. So if you don't

Interviewer and Map Maker

07:56know enough about a topic to even begin knowing what you know what you don't know. Let's chat about the interviewer. The interviewer is the simple idea where you have a chatbot up here on the left. You have you on the right and basically you're saying hey I really want to learn X Y and Z thing.

08:06And instead of just saying help me learn XYZ thing, you say could you drill me on anything and everything under the sun to determine how much I already know about XYZ thing and then in conjunction with the mapmaker in a second um what I need to learn in order to patch the holes in my knowledge.

08:22And this makes sense that AI would be good at this, right? I mean, it's a massive uh uh compressed form of basically the whole internet. That is essentially the whole point of AI really, just to point you in the right direction to act as a fast way of approximating knowledge.

08:32And so, you know, if you're like, "Hey, I want to learn, you know, coding." AI might ask you, "Okay, what is this for?" Well, it's for a job interview in 3 weeks. Now, the AI knows, okay, it's not actually that you need to learn all of coding.

08:47You need to learn enough coding to make a job interview work. Okay. So, what do you know already? Well, I know some basic Python. You know, maybe I've spent two weeks doing some boot camp a while ago. H. Okay. How will you be tested? Well, live coding with some sort of timer.

09:02From here, AI is determining a variety of different things to help you accomplish your stated goal, not just the goal that you might think you have. Okay? And so, in this case, the goal is not actually learn coding. The goal is pass the interview.

09:10You don't need to learn Python basics because that's a waste of time. You've already gotten to that point. You know, in order to practice and evaluate and assess your learning, the simplest, and easiest way to do that is going to be some sort of timed live coding because it's going to mirror the the actual examination conditions.

09:27This is all stuff you would have figured out, you know, eventually if you were a perfectly rational agent, but it's stuff that you probably wouldn't know enough to know right up front. So, if you are starting out and unsure of what you need, you can just ask the AI, hey, you know, before you teach me anything about coding, could you ask me questions about my goal, my level, everything that I need to know basically in order to make this work really effectively.

09:43And the AI model will go absolutely. Couple of things to watch for here. Vague answers, vague plans. You know, ultimately you want to be specific. So, it's not about, oh, you know, my goal is to pass an interview. It's like, oh, my goal is to pass an interview that's going to be taking place on leak code.

09:56Uh, you know, I know a little bit of basic Python. You know, I spent two weeks getting all the way up to, I don't know, like HTTP requests or something like that. Um, the timer is 5 minutes per question and we're going to be pulling from this question bank, right?

10:04Like, you want to be more specific than just that. And that takes me to the idea of a mapmaker. So the reason why it's very important to have a map or a plan in place is because if you don't the vast majority of your time and energy will simply be spent like fighting off the almost emotional anxiety of not knowing what you are going to do next.

10:20And so you can eliminate that completely by just giving yourself something to do next rather than finishing a a module and then wondering okay what the hell am I going to learn next what fits you know just build a plan and then you can follow a plan even if it's not perfect you're going to be a lot more productive as a result.

10:37So let's say you want to learn statistics. That's a pretty damn broad term. There's a lot that goes on in statistics, right? So if you just say I want to learn statistic, that's pretty shapeless. What AI can help you do, okay, is it can help you break that down into the core fundamental subm modules of statistics.

10:54And so maybe you'll start with averages. Then you'll learn about spread and probability. Maybe after that you'll learn about distributions, sampling, and then finally loop around to some sort of AB test. This is what AI can essentially allow you to do.

11:02If a subject feels really shapeless, what I will always do before I even try learning is, hey, just map out, you know, statistics for me. I want the main parts. I want the various things that depend on a bunch of other things. And I want to know where people usually get stuck on so I can, you know, plan my time ahead of time.

11:17And that takes me to the explainer. Many people here are already using the explainer dayto-day.

Explainer and Review

11:28Uh, you know, they'll have read how to do something. They'll even have set up how to do something. When it comes time to actually solving the problem that they initially wanted to solve, they'll be stuck at it. So the explainer just helps you illuminate just that one part for you.

11:36Explains, you know, how the solution works or something that allows you to then, you know, learn it faster. The issue is most people don't do this next step, which is redoing the initial thing you wanted to do without help. Remember that learning is almost entirely a production thing.

11:51It's not a passive consumption thing. If you don't know something and you ask, "Hey, can you help me figure this thing out?" And then it explains it to you and you nod along and say, "Yeah, that makes sense. Okay, cool. I've now learned the thing."

12:01without actually assessing you know from a baseline whether or not you know the thing without the as help you have not learned that thing you have merely read about that thing and there's a very big difference between the two right so after you've gone through a whole process once it is integral that you revert back to the very first step which in your case might be reading about you know how to set this thing up and actually walk through it from first principles from the start in order to go

12:25from you know zero all the way up to one that's the way you demonstrate your knowledge and that's the way that you actually productively remember it and so anytime I'm trying to learn let's say a new AI tool or something like that, you know, I will use AI quite heavily to, you know, interview me on my current state of knowledge to create a map for me on the various concepts I need to know in order to learn it quickly.

12:34And then I'll actually try and if I struggle, I'll have AI explain things to me. But I don't just stop there. I'll actually once I've figured it out and we made it all the way to the end of whatever task I have, revert all the way back to the beginning and then try doing it all myself.

12:49This only will ever take you a few additional moments of time, 10 or 15% of the total length of time you spend studying a subject. But the end result and your ability to know, learn, and then articulate it to other people like I'm doing to you right now is insane.

13:05It's it's unmatched. So you need to redo things without help. You can't just, you know, try and oneshot things progressively as you go. You really do need to loop back. And that's ultimately how to use an explainer. Simple thing to say here is, hey, I tried doing XYZ.

13:13I got stuck at XYZ. Could you explain just that part at my knowledge level so that I understand it? Once you're done with that, again, circle back and then finish the rest. The Socratic questioner is

Socratic Learning Loop

13:28also extremely powerful. You know, you a lot of the time are going to think that you understand stuff again because AI will have explained something to you. You'll have gone through it at least once and you'll say, "Yeah, I think I get the gist of it."

13:36But the Socratic questioner is a way for AI to basically act as a study buddy with you and ask you things like, "Okay, so why does this statistical principle work?" Well, the reality is if you don't know how to answer it, it will immediately have clarified to you where your gaps in knowledge are.

13:51And then if you don't know, maybe it can ask you a follow-up question like, okay, like what if the input to the statistical thing is doubled. Then you'll say, okay, then that would break. Now the AI is learning the gaps in your knowledge. You're also seeing the gaps in your knowledge.

13:59And then that can help direct you back to the uh explainer to learn exactly how that process works. And then you can circle back and forth between Socratic questioning, explanations, creating a new map to learn new things that you didn't realize you didn't know, and so on.

14:16This allows you to find the gap yourself. You now know the answer. it'll never just hand it over to you because it's now asking questions productively forcing you to come up with things and then as a result you uh can actually understand something not just think you understand.

14:25So how to try that is you know hey I want to learn x y and z thing don't just give me the answer ask me questions until I find what I don't know myself. Next up is the examiner. Now, there are a lot of situations where you think you understand something, okay?

Examiners and Checks

14:42And then because you don't test yourself, you don't actually realize where you fall short. But with an exam that is punctuated at varying levels of knowledge, what you can do is you can actually figure out, okay, I figured out level one, I understand how that works.

14:53I know level two, I get level three, level four makes sense. Level five didn't actually pass that test. Why? And so, it's another way of you figuring out where you need to go next in order to maximally direct your learning. And that's all ultimately that this whole process is about.

15:02It's about maximally directing your learning. Human beings have so much potential buried inside of them. Our brains are so incredible. But simply because of like old deprecated educational institutions uh uh formats like lectures which were developed thousands of years ago and just do not scale into our current era and then other gaps in in knowledge and so on and so forth.

15:19We're just not capable of squeezing out more than 10 or 20% of it. So this helps you do that. It's very straightforward and easy. A simple way to do this is saying, "Hey, could you quiz me on this topic? I just want one question at a time. Make every question harder until you know I don't get things right.

15:37And then at that point, you'll know where the gap in your knowledge is. How about the checker? In this situation, there are a lot of places where, you know, you don't learn for the sake of learning. A lot of the time you learn for the sake of creating something.

15:50And so what the checker does is basically scores you on almost like a rubric similar to an examiner, but this time checking uh you know whether or not your process works to begin with. And so the value here is you're not assessing just the end result of your knowledge.

16:04What you're doing is you're assessing the process required to create the knowledge itself. And so, you know, I don't know if you guys have ever taken a really introductory math class. A lot of the time they don't just say, "Don't just give me the answer.

16:12I actually want to know the process behind your work. So, show your work. Show me, you know, how you multiply the two variables together or whatever." What the checker does is it assesses the intermediate steps to determine that your logic and your reasoning was correct in order to get there.

16:24In this way, you know, if you have any issues, uh the model can figure figure this out. So if you made something like a summary, a proof, some sort of code, math problem or something like that, actually have it evaluate or check your reasoning to see if there's a shorter and faster way you could have made it to the same point.

16:39In this result, you know, maybe we could have shortened the summary down twice, got it literally to about half the length, and as a result, the next time you encounter this problem, your process itself will be faster, not just the end result.

16:48So in this case, you might say, "Hey, here's my work for determining X, Y, and Z. Can you find what's wrong or missing?" And let me know if there's a faster or easier way to get there. Don't rewrite any of it. Next up is this idea of the listener.

16:57So the end result is,

Listener and Diagnosis

17:05you know, you've now learned something to a reasonable amount of time, but you have to understand that there are different ways to demonstrate your knowledge. There's like a written way of doing it. There's like a verbal way of doing it. I mean, there's like five or 10.

17:12And the best learners know how to provide that knowledge in multiple different formats. And so it's not enough just to, you know, say something or write something um, you know, with your fingers. My recommendation is if you really want to maximize all the different uh highways of your mind, you know, you should say something, you should visualize something with maybe some sort of graphic, you should write something, you should really try and engage yourself maximally across all s senses.

17:38What the listener does is it compares your words across all of these to the source document on all of these different testing mechanisms on the verbal reasoning, on like your ability to write things out, on your ability to visualize things and so on and so forth to determine whether or not you were correct.

17:46And so what I will typically do is when I really want to make sure I understand a topic, I will just hold down my voice transcription key and I'll just start talking into uh you know my computer. After I do my voice transcription, I will try and draw a quick image of the concept to make sure I understand.

18:02And in addition, I will write a much more short and succinct version of my explanation since you know verbal voice transcriptions and stuff like that tend to be a lot longer than their their written counterparts. I will then compare it to the source document, whatever it is I'm trying to learn.

18:17Maybe it's a new like neural network architecture or something like that. And now it has three different means by which to assess whether or not I understand something. The visual, the verbal, and then ultimately the written. And it can compare all three of these to the source document.

18:27And as a result, it can listen to me and determine whether or not I've made it. So here maybe you'll say, "Hey, I want to explain this idea in my own words. I want you to grade it against the source and tell me exactly what I missed." The diagnostician, you know, despite being kind of a tongue twister, is a very important part of understanding.

18:47Essentially, a lot of the mistakes that you make in learning occur at the same fundamental roots. Maybe you just don't really understand some simple mathematical operation or something and as a result, you don't understand how to do a specific thing in statistics.

18:55You don't understand how to do a specific thing in biology and then you don't understand how to do a specific thing in chemistry. Let's say you're just in a university uh environment trying to learn all this stuff. The reality is you don't actually know what's holding you up despite the fact that these are all templated issues.

19:11So what the diagnostician does is all of these things are the result of a shared misunderstanding. What you do is you just ask the model, hey like what is the recurring mistake in reasoning or logic that I keep on making across all of these, you know, listenings, uh, examinations, u, you know, checks and so on and so forth.

19:27Read through my last, you know, 100 conversations, let's say, and figure this out. And it'll actually go and it'll find the core reasons why you misunderstand stuff. It will literally go and tell you like, hm, you appear to be making the same sort of logical leap from X to Y.

19:35The reason for that is probably that you don't understand Z. And now you instead of trying to learn the specific outcome of each can just learn the root thing that keeps on making you make the same mistake. So you know here are a bunch of things I keep getting wrong.

19:51What misunderstanding do all of these things have in common? Just feed that to your AI agent and you will be far better off. The sparring partner is extremely valuable and I personally

Sparring for Practice

19:59been using this a lot especially as I've started doing more podcasts interviews and then high stakes negotiations in business. So I will often actually have AI give me some sort of back and forth Q&A. You know if I'm like hey I have an interview coming up for XY andZ.

20:06I want to spar back and forth to, you know, verify that I know what I'm doing. Um, I'm going to do this verbally and then I also am going to set a timer with every question to try and figure it out within 30 seconds because I think that's probably how much time I'm actually going to be given.

20:23Let's do it. Hey, why should we hire you? Well, it's because I work hard, right? You send that back to an AI agent that you've pre-rimed as a sparring partner. It's probably not going to be too happy. And it's right, right? So, it'll say something like too vague.

20:31Give me an example. Well, last month I cut our weight times in half, so maybe that's what you should have ultimately led with. the sort of sparring in process is it's very difficult to do correctly and you have the ability to adjust that difficulty slider.

20:39You can reduce the amount of time you have to come up with each question. You can obviously, you know, uh force the AI model to be a higher and higher and higher level interviewer as you go across. But the result is you actually end up getting a couple of reps in without actually having to do the reps.

20:54And I mean that in a good way. You know, a common thing that I'll teach people how to do is uh I'll teach them how to do, you know, sales calls for AI and automation services because that is part of what I sell and what I show people how to sell on this channel.

21:03And so, you know, they will have never jumped on a sales call before in their entire life. They'll be absolutely terrified. Uh, you know, they don't know what to say. They don't know how to frame the call. They don't know how to like, uh, you know, generate any perceived value for their service.

21:20A lot of the time, I'll say like, "Hey, go into a conversation with an AI agent. Here is a brief like template of the call and it's going to pretend that it's a client and or a prospective client, and you are a prospective salesperson, and you guys can just go at it.

21:32This won't 100% be the exact same thing that you are going to see in real life, but this is going to allow you to get at least a rough go through the very first rep, which will make you significantly better. This sort of like simulated training environment is going to be extremely important over the coming months and years as AI makes us better and we make AI better in turn.

21:47So, use this when you're practicing a skill. It's speaking, it's interviews, it's sales calls. And in order to do this, all you need to say is something, hey, I want you to play a tough hiring manager for XYZ thing that I'm trying to do or I want you to pretend that you're interviewing me.

22:02Here's a big list of all the previous interviews this interviewer has done. Don't go easy on me. Push back hard and make sure I fully understand it. I I want every answer to

Clerk and Organization

22:10be generated in 30 seconds. Finally, highly undervalued role of AI here is the clerk. That's where you have a bunch of really messy notes or messy intermediate checking steps. What you do is you just feed that in AI and you say, "Hey, can you make me a clean outline of this?"

22:18Or, "Hey, can you use this to make a bunch of flash cards for me?" As mentioned before, with space repetition, you can get 5 to 10x as time efficient. you know, per unit time you spend, you can remember five to 10x more simply by organizing your information and then consulting with it on a regular basis.

22:37And in this case, the reason I like the clerk is because all of the thinking is your own. What you're doing is you're just organizing it a little bit better. Uh because, you know, as a human being, you're constantly juggling all these different disciplines and ideas and concepts.

22:43AI really can bring those together for you into higher and higher level and more simple abstractions, which can ultimately improve your ability to to organize it mentally as well. Here, you might just say, "Turn my messy notes into a clean outline.

22:51Don't add anything I didn't write. just make it clear um you know the hierarchy of information and how I intend to I don't know turn this into an essay or something. So that covers all of the

Learning at the Right Level

23:06rules. Next I just want to talk about some highle principles behind AI including uh reasons not to use AI as well for certain types of learning. One really valuable thing to use AI to do is to help find stuff at your level. Now in case you didn't know you learn the most when you are pushed just a little bit outside of your comfort zone.

23:21Not too much or too little. The whole idea is you need something that challenges you. Okay? It's called the zone of proximal development in psychology and it's a zone that's just a little bit out of reach that consistently allows you to, you know, lengthen your your your reach until eventually you can grasp the subject.

23:36So, you know, here we go. So, a simple way to do this is, hey, find stuff at my level. I want you to quiz me on statistics. Easy all the way up to hard. Stop when I start guessing things and I clearly don't realize them. Then I want you to tell me my level.

23:43From there, you know, we can go back to these other roles. map maker. We can do interviewers. We could start checking. We could start doing evaluations and eventually diagnosticians. I also want you to explain this concept at three different levels.

23:56For a child, for a beginner, for you know a teenager, for a high schooler, for an expert, and so on and so forth. What you can do here is you can determine, okay, what level of understanding do I have around the vocabulary, the nuanced subjects, and so on and so forth, and what do I need to know in order to be able to communicate topics like this more uh diligently and better.

24:20Finally, you can also say, "Hey, you know, I want you to find me the best possible explanations for this thing. You know, in my case, I know how to do A. I don't know how to do B. I'm approximately the level of a beginner, as we've assessed earlier.

24:26Um, I want you to figure out why each one is really good. And I also want you to give me a bunch of links for it." The reason why this is good is because human beings are still sort of the the arbiter, at least for now, of taste and our ability to explain things in simple ways.

24:41Um, I've come up with so many really simple uh explanations that I've learned in like 5 seconds because somebody just put it in the perfect metaphorical way that makes sense for me that I never would have really found had I not had AI. Um, and as a result, you know, when you find that perfect explanation explanation that just clicks, you can usually save yourself days, weeks, or months of trying to learn it another way.

24:57And human beings ultimately are just the ones that have created the most of that so far. So, you know, what I'll do is I'll basically say, "Hey, can you find me a bunch of resources for somebody that knows how to do this, but maybe doesn't know how to do that."

25:13Um, I give them every piece of information that they need about me in order to be able to find that information better. And then they'll come back with a hit list of like, yeah, you know, neural networks, easily explained, was written a couple years ago by this person, probably the simplest and easiest beginner tutorial.

25:20And then I'll just take that tutorial instead of trying to muddy around with like crappy textbooks or crappy lectures that might be a little bit advanced or a little bit too simple for me. Another great use of AI is as a simulation. We talked a little

Simulations and Practice Apps

25:37bit about this in the context of interviewing. So you could role play. You could say, "Hey, could you play a tough interviewer for, you know, a stat statistics job at uh, I don't know, Anthropic or something? One question at a time. I want you to score me at the end."

25:48But you could also actually give it a realistic task and then have it produce the deliverables you would need to generate. So I don't know, maybe you have some sort of uh customer concern or Q&A or something like that. You have to respond to it.

25:55Maybe that's the job you want, sort of customer service role. we can actually have it like come up with a bunch of emails and then you have to go through and navigate and then answer those questions intelligently. Um so then it can grade you based off what you do.

26:11Um it can grade you based off an examination. So just the end result or the checked process that gets you there and then once you have all that you know you you'll know a lot better about where you're learning. Likewise you can actually have clawed uh uh you know codecs other agents build you practice apps.

26:19These practice apps make it really easy to just blitz through a bunch of flashcard style things. uh they allow you to you know visualize your knowledge in a variety of ways and I use this sort of thing because it's important to have as mentioned not just like a textual ability to understand a subject but you have to be able to articulate it like with your words you have to be able to like visualize it on a screen you know hey draw a thing that corresponds to this thing cloud and other agents are actually at the level where you can legitimately do this today you don't

26:50need to like have a whole examiner doing that for you and they can do it for cents on the dollar um so building practice apps and stuff like that can also be very cool ultimately just run it get feedback continuously make it harder, run it again.

26:58This thing's like the hyperbolic time chamber for knowledge. Finally, there is a case against AI. Um, the big case is learning

When AI Hinders Learning

27:07tends to happen during the struggle. If you think about the difficulty on this graph is the y-axis and the amount of time it takes sort of is this axis. Well, maybe that's not entirely correct, but the the difficulty is this hump here. Um, you know, normally you would have to go through a hump of really squinting at the screen and being what the hell's going on?

27:23I can't make this work in order to learn something because again, it's active production. AI allows you to shortcut that a lot of the time and that leads to you ultimately remembering nothing. Um, you know, if it explains something to you, it'll feel like understanding, but it isn't.

27:30Uh, a very interesting scientific result a few years ago was that people that use like GPS apps tend to have poorer representations of their environment in their brains. And I think AI is quite similar in so far that you know if you're not doing the thinking now you're just shortcutting it to get to the end result.

27:45It will like a GPS weaken the brain regions that are responsible ultimately for coming up with the logic that gets you places. So you know when AI agrees with you when you're halfright when it invents random numbers and sources it turns this process of learning and struggling into just collecting a bunch of notes let's say on a subject.

28:00This of course can actually be very detrimental to your learning. The important thing to realize is you don't have to use AI the same way that everybody else is using AI. AI at the end of the day can be a thought partner and it can improve multiple areas of your life.

28:18You just cannot fall into that default way that people tend to, you know, be incentivized to use it. Hey Claude, make me a billion dollars and make no mistakes. I want to be the president of the United States codeex. I want you to make it happen.

28:26Like you're going to need to spend a little bit more time and effort being strategic about how you deploy it until you know we get to the point where it's just generally a lot more intelligent. So, it's the same thing with any technology, right?

28:33It's the same thing with social media apps. It's the same thing with, you know, Facebook. There are a lot of useful and legitimate uses of technology like Facebook, but the default mode, the way that most people use technology like this is pretty bad.

28:51And so, it's important just to understand that you have the ability to make this powerful for you. And hopefully, this video has helped illuminate at least a little bit about how to do that. Really hope you guys appreciated the video. Had a lot of fun putting it together.

29:00As mentioned, I use tools like this virtually every day in my own life and my own business in order to achieve what I would consider to be, you know, pretty above average results. If you guys want to learn how to do this sort of thing yourself practically for the purposes of a business, definitely check out Maker School in the description.

29:16It's my 90-day accountability program where I help people get their very first paying customer for an AI or automation service or I give you all your money back. I developed it using the similar concepts and methodologies to what I talked about today.

29:24So, uh, absolutely give it a go. Aside from that, please like, subscribe, and support the channel. And I'll catch all y'all in the next video. Thank you very much.