Warum manche schneller lernen als andere

0:00Some of you guys may have seen the interview that I did with Amjod and Replet, the CEO uh the founder of Replet. We talk about how learning works. AI has to get trained on data. We have to clean data and say good, bad, good, bad, good, bad over and over again. Once AI can learn in the real world, the feedback loops are significantly faster. And so it's first party data. It's it drove in the road here and then all of a sudden someone honked and it got feedback and it went back in the lane, right? And so at a certain point you'll stop relying as much on modeling all the people who are doing better than you at the thing. And then you will start to do a tremendous amount of volume. And then from your volume you will look at your so let's say this is the volume we did.

0:43This is all of our reps. And we say okay what made these different from all these? What is the difference? Now there is for sure a difference because these are the top 10%. You might only be able to identify one or two differences. So you will take the things that you find different and then you will do another set of many repetitions where you'll do this and then you'll have a top 10% again. And on here you'll get another inference of why that's the top 10%.

1:17And then but wait there's more. We will then go taking all those inferences and then we have our top 10% again and here you get the idea. Your idea and observation density will increase like coats of paint. Every time you go over it, you will learn one more thing. But I would say that the key to learning is observation. Once you ha once you can observe the differences between current and ideal. And this is honestly the gap people like I get the compliment often that Alex breaks things down in such a simple way. It's it's really just looking at the world through the lens of analysis of observation and saying what is different about these things and looking at it almost as an autist where there is no meaning behind anything.

2:06Just simply this person extended his hand that person extended their hand. This person nods when that person talks. When that person stops talking this person doesn't nod. Why doesn't this person nod when that person is talking? Oh, okay. People determine that this person has more influence. The person who nods when the other person is talking. Okay. If I want more influence, when other people talk, I should nod and then occasionally interject. Yeah, sounds good. That's interesting. Go on.

2:32Tell me more about that. Okay, great. So then I could start observing that. What else does this person do? This person when he asks for things takes a step back. This person doesn't. Okay, so when I ask for things, if I want to increase likelihood of compliance, I'll take a step back. And so it's these observational differences which separate the people who win from the people who won't. Real quick, I'm going to show you the exact 10-stage road map from zero to 100 million plus that less than 1% of companies finish. I've now done multiple times. And so I can say with a lot of confidence that these are the stages as headcount increases that you need to get through. And I broke each of these down by eight different functions of the business. What the constraint feels like like what are the symptoms of it when you're going through it and then what steps we actually took to graduate. And we've done this across software, physical products, uh, service businesses, brick and mortar, all of this. And it works. And it's my gift to you. It's absolutely free. And so the link's in the description, but you just go acquisition.comroadmap.

3:25Just enter your info and it'll spit it right back to you. offering.