[00:03] and, in fact, which methods I consider truly normal, worthy, and by which, well, you can earn a few kopecks.  If you find this video useful, give it a like now or later, and write a comment too, I'll be glad.
[00:16] Let's go.  I would like to start not with the method of earning money, but with basic concepts.  So, firstly, the base in the neural network is promting. That is, accordingly, uh, all work with any models, there, pictures, you will make videos, texts, it doesn’t matter,
[00:31] everything is built on how correctly you can set prompts.  That is, if you don’t understand how it works, you won’t be able to use any neural network .  But you need to understand that neurons are not a magic pill.
[00:44] person.  That is, if you know how to manage this tool and how to get what you need from it, everything will be great for you.  If you don’t know how to do this, no Nero will work magic on you there, and
[00:59] no magical money will be brought to you there.  This is the base.  And here the winner is not the one who knows a thousand secret world networks, 1,000 or so money-making schemes.  And the one who knows how to work, well, at least
[01:13] with one model, predictably and efficiently.  As for me, at the moment in my work I use, I would say, one model - Google Gemini.  I think it's great for writing texts, generating
[01:27] good images, and solving basic problems.  There are some subtleties with VPNs, that is, you need a good VPN with really normal locations, because it often happens that the VPN is detected and does not allow you
[01:42] to use it.  If we take some ordinary life, then I use either psyk or perplexity.  Well, to solve everyday issues, when you're not too lazy to turn off the power supply.  Votk works well too.   A new model has recently been released.  Well,
[01:55] actually, I use it in my life too.  It helps a lot.  The last thing I was setting up was Counter Strike 2. It lags a bit.  It was with Strike 2. It lags a bit.  It was with the help of the diptych and Jimin that
[02:07] I actually solved the problem.  Like this.  That is, my little nerons are dense in life, but That is, I understand promting, I understand how it works, I understand how to achieve the desired result from them.  And this is the most important thing.  Now, if you want to
[02:21] this topic of wipe coding now, I predicted back in January of 26 that it would be one of the most important topics in the Air .  It turned out that there were others, like agents and assistants.   all over
[02:36] YouTube.  That is, you go in, there is simply earnings on agents, 1,000 dollars.  Well, in short, a classic of the genre.  So , what's the gist?  If you want to write application code using neural networks, you need a mandatory base.  It is not enough for a Claude to
[02:50] whom you simply write a Prompt and who will issue it.  This is not enough. Even though Claude just announced a free release just yesterday - it's Miss, I think, yes, and Fable.  two models that
[03:04] allow you to decode even bugs.  Even this is not enough.  That is, if you don’t know the basics, Nero can create a whole bunch of problems for you.  Here's the thing. In general, these wipe coders are very funny guys, especially those who believe
[03:18] learned with the snap of a finger, and you were never a programmer and everything is fine.  It doesn't work like that.  That is, if you are going to use the same cloud to write, say, some kind of application, even we take new models, like Miss
[03:30] Fable, yes, which are great at handling all these debugs.  Where is the guarantee that that the tank has been processed correctly?  Where are the guarantees?  There is no such guarantee. If you're an IT specialist, a programmer, yes, someone who's already in the know, who understands
[03:44] languages, logic, how it all works, then add wipe coding on top, it's great.  Or there's a techie who builds bots there, you understand the logic, you understand wipe coding on top, everything sped up.  But if we do it the other way around, let's say we take a
[03:57] technician, yes, sometimes people write to me, like, why would tech specialists and wipecons replace them, they won't replace anything.  Even a super-new model makes mistakes.  Nero is completely screwed up.  There are no ideal world networks, they simply don’t exist.  Each neuron screws up in its
[04:10] own way.  And if you don’t have a base, you won’t even understand where the problem is. these Fable misses to say: "Yes, well, of course, Claude is there, what are you talking about, Claude, Claude." Well, Claude is not manna from heaven.  Plus,
[04:23] difficulties with work if you are from Russia.  The private account is being deleted. If Google Gemini picked up a VPN there without any problems, even if you changed it, nothing will happen.  In the warehouse one such shift is enough.  one mistake, when
[04:37] you accidentally turned off the VPN America, turned on the VPN there Europe, for example, for something else.  And Claude thought that was it, they got banned. Accounts fly off in no time, even those created.  I'm not even talking about those
[04:50] that are bought on FunPay, for like 100 rubles.  in use by n't say anything about these at all, yes.  And well, actually, the idea is, yes, once again, that is, you need to understand how the database is structured, and, bknd and that’s it.  Iishka,
[05:03] automation.  which will work. So you pressed the button and it works. No, it's a tool.  That is, it is not a replacement for brains.  Not a replacement for brains. Just yesterday I was looking at the analytics, again working, and they specifically say that
[05:19] yes, a lot of things can be done on Rossitka , about 90 percent, but the final 10% is reviewed, checked, and controlled by a human.  And so it will be.  Here. very large development is going on, like there’s this bubble of neural networks inflating, there are
[05:34] millions of different ones.  And now they are seriously talking about controlling all of this through legislation.  In America, literally now, when Claude released these new models, they are really
[05:48] powerful and in the right hands they can do very, well, in short, serious things.  Well, now let's move on to ways to make money.  There are quite a lot of them.  I have a big presentation here.  So, the first thing
[06:01] is keyword content marketing or factory content.  Nowadays, well , this topic of content factories is so popular, they force it into the comments, they don’t write, maybe it’s easier to make content carefree.
[06:15] Well, on the one hand, of course, it’s easier, but on the other hand, the problem is the main one of this whole story.  Who will you sell this to and how?  If you think that you can come to any blogger and he will easily buy it from you for 100,000, no.  And the
[06:27] second question again: why does n’t the blogger study this himself?  I would like to show you my content factories in the preview of the content factory, one of which generated money for me, the other one is still generating money.  And, actually, using an
[06:39] the logic of all these stories.  So, the first container plant is YandexN.  I had fun here last year.  In short, what's the gist?  This was a channel about remote work. Absolutely dead.  That is, the audience on Xena is very difficult, very difficult,
[06:53] insolvent.  And I’ll be honest, over the entire time, only two people came from there that changed.  Two.  The rest are just brutal.  You go to any article, read the comments, and you'll be amazed.  Here, if you look,
[07:07] move it like this, yes, so that everything can be seen clearly.  Do you see this peak?  This is exactly the moment when I was working on that content factory.  Look, you see, finished it all in July of 1925, when the channel was pessimized.  Well, I got
[07:22] a little carried away there, in short, [laughter] let's say, I could have spent more time having fun.  That is, in April, you see, I had and in May 1,131.  And so you understand, I wrote an article like this: I
[07:38] told my husband, I'll even show you now, this is a cheap neuroslope for a husband like that. I wrote 100% using neural networks.  It didn't take me, well, let's be
[07:50] honest, that much time. Here he shows the finishing reading, which is a little incorrect. But here they are correct, that is, you can see that this article, posted on May 28, received 128,000
[08:05] impressions, 55,000 openings, 48,000 readings.  And that's the kind of story I told.  Well, I just had seven articles coming out there a day.  That is, here it is, so-called content factory. I was publishing seven articles a day.  Neronka
[08:20] wrote the stories for me completely.  Neronka made previews for these stories for me.  And I pulled out somewhere between 2,500 and 3,000 rubles a day. You can even look at monetization.  Well, yes .  That is, you can see how much I withdrew.  That is, it turns out that these
[08:34] pennies are on the videos.  Well, well, 3,600, that is, it’s a pittance.  But I actually got my record thanks to these articles.  That is, 30 30579 is the monetization that, in fact, fell from these articles.  And I'll say right away that the
[08:50] pull out such a sum of money, you have to really work hard.   They've been work hard.   They've been very greedy since the moment they were sold to that Yandex company, and they became Mail , well, it's just disgusting.  But
[09:03] nevertheless, 30,000 there is 579 rubles.  With all this I managed to get 6,000.  That is, I calmly got all the teeth I had done for that money .  So here you go, an example of a content factory that actually makes me money.   The
[09:16] second example of a content factory is my cart.  Well, it's no secret that I'm running it with the joke, right?  That is, I have something planned here below.  Look, you see, I’ll clean myself up a little now.  Okay, well ...
[09:31] Now I'll just open these planned posts, and you'll understand how many there are.  So, just so you understand, I have posts planned for Telegram until August 7th.  Do you think
[09:43] I spent a lot of time writing them?  No, I just know how to work with writing them?  No, I just know how to work with neurons.  I just know how to work example of the plant content.  Is it difficult to do?  No.  Is it possible to
[09:58] come to people with this?  Yes, sure.  You can come to the same authors who write poorly in Telegram and sell them the services of these neurocopywriting or something else .  This is what I teach in the
[10:11] cart, and how to actually launch such a thing .  So, if you're interested, VCM. Well, and again, to believe that there are some , well, again, they write such understand that this guy just listened to Vozdukhanov there, who
[10:27] happen.  That is, you still need to learn to understand how to sell all of this, how to implement all of this.  In short, it won't be easy. Uh, well, in general, yes, with the help of neural networks, like I do, you can close a solo task on your
[10:42] Telegram, on Dzeznu, scaling content, all of this can be done by one person, an expert.  That is, all this running of YouTube, Telegram, and a bunch of other options takes me up, well, Telegram once a month, maybe an
[10:57] hour and a half.  YouTube videos, all these scenarios, well, maybe once every 2 weeks, an hour.  The hardest part is the editing.  Everything else is done non- Neronco.  That is, I just walk around and write things down.  And the main problem, I say, is to
[11:11] whom and how you will sell it.  So you need to think about it.  And straight hands are definitely needed. That is, it is very dangerous to think that pill that will solve your problems for you.   It won't solve it at all, it won't solve it even once.
[11:26] If you have clumsy hands, if you don’t understand how promts work, you’ll only make things worse.  Next is neuromarketing. Neural networks are great for analyzing competitors, generating unique
[11:38] selling propositions, content plans, and promotion strategies.  You can even write marathon courses.  So, in the Neronics course, I actually did this practical, well, did this practical, well, practice.  There, the guys create the course
[11:50] from scratch, that is, they analyze competitors, marketing, create a everything is done point by point and it can be sold.  In fact, all of this can be sold as separate services, really, yes, butter butter, there is a
[12:05] there are promotion strategies separately, competitor analysis, that is, a range of earnings.  If we take the topic of neuromarketing, it’s a big subject, and it’s know how to play pronts, if you understand the logic of how Nero works, it’s
[12:19] not difficult at all.  And again, for example, yes, thanks to this I need to analyze something somewhere, find competitors, watch videos, even these videos I prepared on YouTube, I recruited competitors, said:
[12:33] “I’ll analyze the content and put together a presentation for me based on their content and that’s it.”  That is, in essence, a marketer could have done this, but he did it in a marketer could have done this, but he did it in a neronko way, for free, in a minute.  Here.  And
[12:46] if you are, let's say, a marketer and you study all this, well, you will be much stronger than those who don’t know how to do it. Again, I have all of this in the Panironka course and show it in detail.  But still, yes, no matter how wonderful it is there, a
[12:59] neural network cannot replace strategic thinking .  A neural network is again a tool.  If we're talking about long-term planning, about understanding the company's goals, Nero won't replace it, no matter how much we'd like to.  Neurocopywriting,
[13:12] I've already talked about this too.  In fact, using Zen and Telegram as examples, here's what you can do: write complex articles, landing pages that sell , emails for newsletters using Neuron, and run Telegram channels.
[13:26] money.  If you can sell yourself correctly , that is, not just go to someone and say: “I’m a neurocopywriter, I can write articles for you.”  No.  That is, you is, if you can convey to a person through money that you are really
[13:41] cool, everything will be great for you.  Ah, well, there is such a way, yes, and this is also employment in simple professions, like assistants, curators, mops, care services.  Such things can also be arranged with the help of neurons.  And
[13:55] . Of course, there are a number of entrepreneurs who have already replaced both assistants and curators with neural networks, so- called agents.  You need to understand that there are very few such people.  And these assistants and agents work, well, let's be
[14:11] honest, disgustingly.  And the most important nuance: this agent can fly away at any moment , because all this is done on foreign Mero networks.  Most often this is done on the cloud.  Well, you understand that Claude, he can fly away, just like in the
[14:27] neuroagents will fly there to one place. That's why it's often That's why it's often easier for entrepreneurs and school children to hire people, assistants, salespeople, of course, because it's cheaper and
[14:42] less of a hassle.  Well, anthropomorphism won't block a person, right?  It's anthropomorphism won't block a person, right?  It's anthropic, right?  Well, well, it’s expensive, again , it’s expensive to implement all this if you figure it out yourself.  I tried to
[14:54] figure it out, it’s just a dark forest.  It's very difficult for me.  That is, for me, a humanities major, this is difficult.  It's easier for me to work with people, there are a lot of them.  And easier for me to work with people, there are a lot of them.  And
[15:08] n’t understand, to be honest.  And speaking about sales, it also depends on the company. first line . neural networks, but most will stay with people,
[15:22] because it’s simply cheaper and so on.  So what do we have next?  Neurodesigns, generate button alone won't do the trick here.  Although it is debatable again, yes, there are moments where you can get by.  But in general, again, if you have a short attention span, you don’t
[15:35] understand compositions, you don’t know how to work out details, well, you’ll get a picture where you won’t see the flaws.  That is, this is the main problem.  That is, if you are not an expert in a particular subject, you simply
[15:47] will not see what an expert sees.  That's the problem.  And it often happens flaws that you don’t see really affect the company’s ability to earn a lot of money.  The same
[16:01] can be said about the design.  But if we talk about simple things, that is, well, for example, yes, I’m having fun, that is, in principle, uh, create, let’s say, is, in principle, uh, create, let’s say, some kind of logo or logos, I
[16:14] not?  That is, a designer will draw such a logo for you , well, he will charge at least an A for this, for the development, all these nuances, the beauty.  And so it’s just a correctly entered prompt in Google Jimin, who created
[16:28] the logo beautifully.  This is for my daughter, for her class. normal, everything is good.  But again, I'm not an expert.  Now designers and illustrators will come and say: "This is crap."  Well, I agree with them.  But in general, it can be
[16:42] Google Jimin, if you set the protocol correctly.  And this can be sold, yes.  And then come the assistants.   The topic is good, yes, but the market is already polluted, it pays pennies.  Also a Vozduhan theme from the twenty-sixth year.   These are the
[16:56] assistants and agents.  That is, again, to make some kind of magic out of them, like, now the agents will come and they will twist you all into ram's horns
[17:08] .  No, well, it doesn't work like that.  In any case, the neronka is a tool, it is not a human brain. If, for example, you screw something up somewhere while setting up the agent, that's it , hello.  The same goes for the e-
[17:24] assistant, yes.  If you assemble something there incorrectly, your assistant will only make things worse and that's all.  And then again, the account somewhere in the cloud was blocked in the cloud, yes, and the anthropologist there decided: "Well, that's how it is."  And what
[17:37] But there's some kind of glitch, some kind of error, you'll now say: "Well, there's a cloud there now, a Fable update has come out, Miss, they released super processors there."  Again, if you don't understand this internal stuff,
[17:52] damn, you're only worse.  You can simply waste a ton of money, it is not clear why.  Just to show off that I have an assistant working there instead of the usual one.  Well, it sounds a bit childish, to be honest.  Well,
[18:04] development of digital employees.  They make the decision themselves.  All this is great, wonderful. But again, I will say this: it is Expensive. develop and implement all of this.
[18:21] Well, only companies with very high turnover are capable of this, like VSK, there, yes, Gitcourse, those guys, yes.  But if it ’s some small office or online school, then the turnover there is 400,000 rubles.  per month, well, what kind of
[18:36] agents are there, really?  Well, why is n't all this a magic pill? Yes, we need to understand.  The first, most important, and has no consciousness.  Has no consciousness.  Just remember this 90%, right?  Nero can do it.  So, on YouTube, I take most of it from
[18:51] Neronka, but the final 10 are reviewing the material, reviewing the presentation, and adjusting the presentation. I do all this.  All this is done by man. And this is in any field.  This means that under no circumstances should neural networks be trusted to
[19:05] solve problems 100%.  Never at all. Without context - that's the second thing.  And also stupid.  In order for an agent to work with it, he needs to be trained on ideal regulations, so that the business has all of this, so that you can upload it one after another.
[19:20] Most businesses do things the way they do them. Well, somehow, well, somehow you upload it.  You know, there is such a concept: without a technical specification, the result is unknown.  It is precisely sense.  That is, here, if you set the context incorrectly,
[19:36] well, you’ll end up with the same kind of agent, damn it.  Well, again, yes, that is, you need to understand that all this is not a cheap pleasure, that each request costs , yes, well, each of these,
[19:53] money.  And if you have something set up wrong, well, sorry, you can just lose a ton of money.  That is, in addition to the fact that you pay the implementer who will do it for you, or you yourself have studied this whole story, you still need to
[20:06] somehow convince someone that it is more profitable to deposit into a figurative cloud than to hire an ordinary person for 20,000 rubles.  That's the whole story.  This is not a cheap and not free pleasure on free tariffs.  Well, sorry, but I doubt you'll be
[20:22] able to do anything.  That is, again, you can make money on neural networks, you need to make money on neural networks, but you need to do it wisely.  Don't believe that this is a save you from everything in the world.  No, it won't save.
[20:35] With crooked hands, Nero will create more problems for you.  With straight arms from the base if you want to study my course on making money with neural networks, welcome to a private message.   The too, if you want to study to become a techie, write me a private message too.  Here.  And in Telegram, in the
[20:52] pinned section, you can find a list of chats with vacancies.  So, we went to the cart via the link and clicked on it.  Here is the link, there is a pack, they are free, there is a lot of garbage there.  The second video shows how to sort out this garbage to
[21:05] determine whether there is a decent vacancy there or not. Five free employment lessons and samples. There are also technical courses on neural networks for up to 790 rubles.  So, guys, as they say, Yuri Khimik is very knowledgeable about neural networks, in a very real, yes,
[21:19] format.  If this is interesting, well, stay tuned.