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Transcript · 090 · AI Was Wrong, but the System Reacted as Though It Were Right: This Is How a False Alarm Becomes Dangerous — ToTheMoon

English machine translation of the Russian-language episode. Timecodes open the source video.

Episode overview
00:00:00–00:00:56To TheMoon graduation today.
Alexander Volchek00:00:00

In the United States secondary school, the AI Zero Eyes surveillance system misrepresented the student as a firearm, which led to the school blocking and the police arriving.

Ilnar Shafigullin00:00:14

A second-class mistake when you missed a real shooter, huh? And that's how the question is, what's more important to you in this situation?

Tatyana Tsvetkova00:00:23

That's how often it happens in America, shooting at school.

Mentions: United States
Alexander Volchek00:00:27

Well, I know people who want to do business and make hundreds of thousands of dollars, but they don't spend $2,400 on the version. In Italy, the first and the strains of misinformation were deactivated, so-called Zevsnarrativ. Your year with the GPT chat. I sent almost 24,000 messages, and Tanya's got 11,000 messages in the statistics, yes. We wish each other New Year's! Ninety-first issue.

00:00:56–00:03:04Case AI in US schools: weapons recognition system has failed
Alexander Volchek00:00:56

Hello, everybody! We're on ToTheMoon. Technological news, Silicon Valley sites and the world. Oh, come on Sunday once. I'd like to remind you that on Wednesday, 30th December, we'll have a special release. We're four, but today we're three, and there's a four. And Sasha Mashravov and I have a new year's graduation. So, where do you want to start tonight? S-- was a very interesting case now at the high school in Florida, the US. There was a very interesting incident. They're holding cameras and cameras, and, uh, artificial intelligence that recognizes the different events that happen there. Well, for example, there was some kind of explosion or, uh, some unstandard situations. In particular, the system is diagnosed if a man with a weapon shows up. So, there's an artificial intelligence-- cool, by the way, thing. I didn't even know it was introduced in schools. I don't know for the rest of the day, it was a state school or a non-state. But what's the point? That the surveillance system AI Zero Eyes misrepresented the pupil as a firearm, which led to the school blocking and police arrival. I mean, there's a schoolboy in the camouflage because there was a thematic day, there was a military-thematic day, yeah. He was carrying a clarinet and the AII.'s suit on cameras decided it was a rifle, and the active shooter report was working instantly. And on the one hand, well, first of all, if you look at it, you know how many applications there are still, you know, some cool, interesting technologies. That is, a living case to ensure that a large number of different spaces are operated. I remember how that system was when they put it in Thailand, I think it was a police robot, he was a little higher.

00:03:04–00:05:13Case AI in US schools: weapons recognition system has failed
Alexander Volchek00:03:04

I think we showed him in our releases. A few heads were above the ordinary police. He had a bunch of cameras there. Three hundred and sixty degrees, this moachine is standing and diagnosing the whole crowd of all people at some meeting or rally or something big. And for diagnostics, well, first of all, there's a scan of, uh, faces, diagnosed if a person, like, has a gun or no weapon, to keep a--- to keep an eye on the mat-- well, to the order, yeah, to keep up with security. People. I understand, of course, that I'm dealing with it from the side of the utility, from the security side. On the other hand, a case like that, it's very specific, yes. We know perfectly that we live until the world is perfect. And you're not exactly the one who's learned. This similar situation arose in San Francisco last week-- this week. We've got storms, hurricanes coming, and in San Francisco, a third of the city's electricity has been shut down. And the Waims, because they're very common in San Francisco, it's a Google electric drone. They just made a collaps there. They're all over the place, there's a part in each other, no drive. Elon Musk said, "Look, robotaxy drives awesome, never stops." I really thought, and as a robotxi rides, it's awesome if Elon Musk's robotaxy's man is still in, right? And robotaxy in San Francisco doesn't ride without a man, but still. Here. But the case is very interesting with the recognition. And we're gonna figure this out, if we look at the general introduction, we're gonna be a little bit of a story in the release of December 30, how much different tools are being implemented in the world.

00:05:13–00:07:40AI error: false alarm or missed threat?
Alexander Volchek00:05:13

But it shows that, of course, we will still have a lot of real life where it will contribute to good things.

Ilnar Shafigullin00:05:13

That's about the clarinet, yes, and the baby in the camouflage that came to the thematic party there. In general, this is common in all AI systems, so is the compromise between first-type errors, second-type errors. First-stage mistakes are when you misunderstood that a child in a camouflage is not a shooter, yes, and you don't have to do that. And you're wrong about that, there's some kind of service coming over, school's blocked, some protocol worked.

Alexander Volchek00:05:42

Yeah.

Ilnar Shafigullin00:05:42

A second-class mistake when you missed a real shooter, huh? And that's how the question is, what's more important to you in this situation? Once a year, twice a year, there's a parole, that's gonna be, like, there, I don't know, there's a stress on school kids or something, or maybe we should skip some kind of event. And it's in any system, right? That's how it's like there's a lot of extremes with kids. But in every system that's built into AI, you always have that kind of triple. You either try, uh, anyone you can find, even with mistakes or vice versa, not to push anyone else. That's, you know, history was. A frequent example. Always at this part of the interview, you ask, here, to give an example, where one side is good, when the other side is good. Covid's probably gonna remember, right? And it was better here, and, uh, to say, to overtake and diagnose, even if I'm not entirely sure. And in some situation, it's better not to diagnose until you've overchecked it a few times. And that's the same thing with AI. I mean, it's always happening in real life, and here. On the one hand, it looks like, well, AI's wrong and . On the other hand, it might be nice to have the intelligence services come and start checking it out. Anyway...

Tatyana Tsvetkova00:07:03

I'm here, Ilnar, agrees with you because I think there are such high rates here. And so often it happens in America, shooting at school, which is best for children to be stressed, but everyone will be alive and so on. But what's weird is I don't know if some shooter comes to school in military uniform. I think they always try to be the least--

Mentions: United States
Discussion participant00:07:28

It happened.

Tatyana Tsvetkova00:07:28

I'm not sure how to look. Yeah.

Alexander Volchek00:07:31

It just happened. And it must still be that there are some identification marks in the system is just an additional trigger. And that's what it says.

Mentions: United States · Belarus
00:07:40–00:09:48The main dilemma AI, which cannot be resolved, is part 1/3
Alexander Volchek00:07:40

She would have worked without that. And the question is, what they're talking about in a series of places, uh, the authorities across America have been discussing how to improve the reliability of such systems without causing panic. I'm absolutely. Is that what panic is? Another moment, you've given the lead. I remember Belarus, for example. Belarus said the cowid wasn't there, was it? And we don't do anything. And I remember a lot of people like, uh, opposition people, opposition people, saying, "This is not the real truth. At the same time, it was, by fact, the decision that was taken was clearly correct.

Tatyana Tsvetkova00:08:15

Not a fact.

Alexander Volchek00:08:15

Because you didn't close the country. No, I'm telling you, the fact that it's happening.

Tatyana Tsvetkova00:08:19

What was in Italy? Look, when people pretended nothing was going on, it was the highest death rate.

Mentions: Italy
Alexander Volchek00:08:27

I am talking about Belarus, I speak a specific country with a specific example, that is, a specific example, with a specific country. I'm not talking about other countries or other examples. A specific example of a European country where nothing was closed. There were micro-actions in the area of closing the warning to people. If you look at the number of people who were sick and the impact and impact, the solution was clearly right in terms of the economy. Because, for example, for the country to close the country and lose, and to create, first, chaos is certain and to lose a huge amount, uh, how do you do with people? Pay them extra money, like, to close the business. It would be influence. It really looked like a very specific effect. It's the only country that's been there. But there's a fact. Here's the dentist. Illar here just gave an example of how different, you know, covid is. It's not a question of who's right, who's responsible, but how people make decisions in difficult situations, yes, what to do.

Mentions: Belarus
Tatyana Tsvetkova00:09:37

The issue of values at the level of government. Some people appreciate it, and somewhere, the economy is not going to get to full, I'm not gonna be

00:09:48–00:12:22The main dilemma AI, which cannot be resolved, is part 2/3
Tatyana Tsvetkova00:09:48

expressing.

Discussion participant00:09:48

I mean, under all this circumstances, I have a personal withdrawal here, within Belarus, given the understanding still there, uh, I think that among us there is a greater understanding of the situation in the country, in terms of the situation in Belarus.

Mentions: Belarus
Alexander Volchek00:10:00

E, human, mental, thought, approaches. I think that in that situation, that was a reasonable solution. Why? There were a lot of speculation in the world. I saw a huge speculation of politicians and doctors in the cow ' s life, and many things were closed or opened up in speculation or in order to gain some political weight. And it was weird to hear someone say that masks are useful, and then those people say they're not useful, they're even worse. Or there's a vaccine, and then those people say there's no vaccine. That's weird when you see a little equilibrium in-- a long time range. It's just a little conclusion. Well, we're gone. Let's go back to the subject that everyone has in mind, and our viewers can write off their opinion in which country did what was right or wrong, why, where it happened or why. In Italy, for example, people were sick and in Belarus there was no. I was wondering, for example, why in Italy people were sick and in Belarus they were not sick? That's what all the Belarusians were asking for. Why did that happen? But we'll go back to the briefcase. Yes, Elnar.

Mentions: Italy · Belarus
Ilnar Shafigullin00:11:07

I would, Sasha, bring another neutral example. I've been back to the first, second-type mistakes, and I hear him a lot, and he seems fun. For example, there is a question that some company is spending a lot of money on, uh, implementation, integration of I. And many people, without seeing the result, start saying, "Oh, yeah? Well, they're idiots who spend so much money and no way out of the mouth." And here's the same situation with first-, second-type mistakes. They can spend that money and burn it, there, I don't know if it's ten, twenty, thirty million, right? And that's not what I'm gonna get. That's one side of the mistake. The other side of the mistake is that their competitors can successfully implement, and this company will save 10, 20, 30 million in any currency, consider it yourself. And the competition will go through, take over, and there's a lot of the market, and then they'll get out of the market. And there's like you got a second-type mistake when you didn't spend that money and lost a part of the market. And on that basis, the company is already making a decision, how to invest in these, these-- these processes, spend money on it or not spend it on it. I mean, this triple-fuck, it actually exists almost everywhere. And you just gave a very bright example with a kid with a clarinet in your hands, didn't you?

00:12:22–00:13:52The main dilemma AI, which cannot be resolved, is part 3/3
Ilnar Shafigullin00:12:22

And that's how it really is, if you look a little bit at the side.

Alexander Volchek00:12:22

Yeah. Is that how Elnar will spend on the version? I mean, to be like-- we were just dating here, and there's a man saying he has plus a signature, I'm leaving for $20,000, it's pointless. Yeah, that's the question of knowing it. So how do you feel about it? You're looking for a certain answer now, or you say, "I'm spending $2,400 a year on the version, which is the decent money, but I'm spending it and investing in it. "to further, uh, expand, for example, its professional activities and have the opportunity to earn a living in business." Well, I know people who want to make hundreds of thousands of dollars in business, but they don't spend $2,400 on the version. Strange, weird logic, huh? In terms of influence, possible-- well, such as the expertise and use of such systems. But it needs to be understood, it's very hard to understand. People want proof. And where there's evidence, they're using it, right? There's no such thing as a broad entrance or event. In particular, someone will not introduce such systems, say, "We will introduce such recognition systems, for example, weapons, only when they are guaranteed 100 per cent of their jobs." But that's why you might have a case in advance, for example, right? And I want to point out that, uh, I don't have this statistic under my hands, but I don't know where the largest number of people in the world comes from guns to schools or into spaces, do I?

Mentions: United States · Italy · ChatGPT
00:13:52–00:15:51First digital virus in Europe
Alexander Volchek00:13:52

I don't think it's the States that's in the public. Oh, there's an interesting case in Euro-- Italy. We'll move in. ChatGPT made a very cool thing. Tanya and I were putting it out here, right? But Elnar was also talking. But Tanya and I are in high numbers, and Tanya are all surprised. That, by the way, for the viewers of Tuzmun, is an incredible subject to see Tanya's example of use, yes, her deceit. So, in Italy, the first and the strains of misinformation were deactivated. What's the fun thing? So European researchers reported that a network of channels was found that distributed synthetic videos with flash news, so-called Zevs was narrating. The video, generosets, was portrayed by fictional events, like, the imaginary speeches of EU leaders, there, calls for some, I don't know, radical action, and so on, huh? And there was a stylis--- stylished under real news. And algorithms were able to identify that it is important that algorithms have been able to identify the handwriting of a specific artificial intelligence model that generated this content. In fact, they removed the digital strain of disinformation, similar to the strains of the virus. Here. And this is the first officially documented example of clustering the disinformation of artificial intelligence. Well, I see there's more in the European--- in the Euros, more, I think, fighting misinformation than developing artificial intelligence. But the whole thing is very interesting because, of course, I kept talking, and I just-- the world doesn't know how much misinformation is now in the models of different models. And it wasn't like someone on TV said they were doing it and they told the fairy. Or like now, yeah, somewhere on TV or on YouTube. I mean, the level of error and influence on humans. You know what this is called? What's his number?

Ilnar Shafigullin00:15:48

Twenty-fifth.

Alexander Volchek00:15:49

Huh?

Ilnar Shafigullin00:15:50

Twenty-f

Discussion participant00:15:50

Twenty-fifth.

00:15:51–00:18:18First digital virus in Europe
Ilnar Shafigullin00:15:51

ifth.

Alexander Volchek00:15:51

Twenty-fifth shot, yes. So the level of the 20-fifths of the chat rooms, chat rooms, GPT chat room, there, Gemini, Grok, there, DeepSeek, is just space-based and is controlled by another developer or controlled politically. power, not controlled items or controlled by other influences in general. Because, of course, now, and how much information will be changed and how do we figure out how to deal with the truth of this information? That's not real. I have, uh, kids different, four kids, and kids generally believe in the Deda Moroza, who are younger. So, Deed Moroz brought them a little gift through the pipe recently, so the fireplace is through the fireplace. And I thought I was. I had the idea of starting a quick walk and taking the cameras, the surveillance cameras, taking the video and reporting it through the video-generation of some objects. I mean, making videos is very real, real. That my son said, "Pap, turn it on, so we're gonna track down Deda Morose for New Year." So to understand, yes, smart ones, too, yes, literate, look, they want to check it out. And I thought...

Ilnar Shafigullin00:17:06

I hope he doesn't watch our channel.

Alexander Volchek00:17:09

I'll put some kind of flash on it, I'll put some stuff on it, put some kind of flash. I'm not saying that Deed Moroz is not real. I just wanted to do something more, and I'm gonna put some kind of a flash in there. And I'm getting rabies from kids who come and say, at four years in line, "I'm told my mom that Deda Moros doesn't exist." I think you're telling your mom that. And so, and--

Discussion participant00:17:31

Alexander Volchek00:17:34

And then, you know, I thought with that video that it was too unrealistic, like it was something. I mean, it's kind of a game, but it's not that game, obviously, is it? I mean, we're kind of in a child's story, but it's like it was a video. That's not the story, is it? It's like something was, it was a fairy.

Discussion participant00:17:59

It's like you're taking a real sense of the future from the baby. You know, he'll remember. Yeah, I've actually seen it, like I do. So you can't trust what I see.

Alexander Volchek00:18:11

Yeah? Or you're putting on some sort of thing. So one thing that he has imagination is, he comes in, says, "Papa, I saw Dead Moros screaming in the woods."

Discussion participant00:18:18

Yeah, that's

00:18:18–00:21:19First digital virus in Europe
Discussion participant00:18:18

different.

Alexander Volchek00:18:18

Or one thing I remember was a case in the States, there, ten years ago, we drove up on cars, one person, so we dressed up and right when the cars came in, we jumped the fence, so we got into the Santa costume. It looked simple, just amazing. Yeah, that's it. And here he is with Deed Moroz, with a bag. There's a Dead Moroz running, so he's taking all these presents. I mean, but this is life. It's like this is a tough spot. And you realize that, of course, the number of this sipphei is... because I-- because I know this fairy from the truth, that is, whatever it is, these whole regulations didn't detect the strains, we know perfectly well that they don't. They can win this system. Well, that's the fact that the technology is the most advanced technology. How do you know they're gonna do that? But it's very important for the audience, write what do you think on this subject at all, what are you seeing the fairies, what have you encountered, what are the surprises for you? I have a lot of surprises in my own hands. I'm watching videos now, I don't understand if they're real or not. I even told you recently that people put it there about, you know, the specific case of the city bombs, they put out videos. I thought it was real at first, and then there was a signature at the end that it was a generosity video, but that shows like a natural event. And you're like, uh... You're getting away from this, aren't you? You know, like you don't want to feel this thing. You say it's like the event is becoming untrue. So the event was real. This expression is like a non-real.

Mentions: United States
Discussion participant00:19:42

By the way, I just looked at the statistic on these jokes, and you're gonna be, Sas, surprised that the United States is in the first place, and whatever it is, the second---

Mentions: United States
Alexander Volchek00:19:56

The population? The population?

Discussion participant00:20:00

Number

Mix00:20:02

Number-

Alexander Volchek00:20:02

You're not looking at the population.

No, I-- why the people? Wait a second. Oh, it's kind of a thing, that's two hundred eighty-eight of these jokes, the first place in the US, the second place in Mexico is eight, and the third place in South Africa seems to be six. I mean, it's incidents where at least one person was shot. So there's no fairy tales. I mean, it's kind of a little bit of a time, you know?

Mentions: United States
Alexander Volchek00:20:35

Look, I don't know the volume and, uh-

Mix00:20:38

Well, statistically.

Alexander Volchek00:20:39

I don't know the volume of us-- no, I hear, yeah. Let's go on. You're saying one of them is shot. More like those countries say, huh? Because I can see personally that, for example, there are a large number of reports of theft of children from schools in African countries, yes. So you're saying six cases now. I'm a little weird because there are countries where dozens of school attacks have already been with children this year. So I'm not, I'm not gonna talk here, yeah. And just so we can just say, okay, that's like the biggest number, the number of cases, I'm personally just unverified. Well, you've read a very, very big--

Mix00:21:14

That's not clear enough.

Alexander Volchek00:21:15

Very, very big break, yes. So, uh, pro-- want to go to what?

00:21:19–00:24:40Year 2000 Outcome of ChatGPT " Your Year 2025: Use statistics
Alexander Volchek00:21:19

I want to go, too, if any of the viewers know the real statistics, you can write real statistics that are a rea-- well, then you can add it, and maybe there's some kind of...

Alexander Volchek00:21:33

Maybe those who live in these countries, yes.

Alexander Volchek00:21:36

Tanya said a part too, yes. Tanya said some statistics too, yes. Oh, as for the, uh, next topic. So ChatGPT has a deposit called, uh, twenty-five, so your year with a GPT chat. And it's on the desktop, again, we see it, it's seen differently in the mobile application. You should, you know, if you're gonna get there, you'll find it, yeah. OpenAI UX/UI is not as it is, it does not, yes, they have research. And then there's an interesting thing that there was a number of chat rooms and the number of messages you made this year, and it shows how--- what number of people have the same number of chat, same number of chat rooms. Number of messages. What was the fun we had? First, it's interesting information to see it for itself. And second, what was fun, which means when I put this information out and I had a... I had a lot of chat rooms, I'll open it. I had a volume, so I had two thousand eight hundred and thirty three, and I sent it over a year. A year, yes. I sent almost 24,000 messages. Tanya says, "I thought, oh, I'm definitely gonna be out there somewhere." And Tanya's opening up her statistic, so Tanya's got 11,000 messages on the phone, yeah. So, what, what? That's a lot. So she only has two times less than I have. Well, maybe a little more, yeah, a little less, yeah. Oh, and four times less chat. I think it's just that. And she and I, we've got one percent, one percent of all the people who send this number of messages. I'm also one percent of the first users, one percent--

Mentions: ChatGPT
Mix00:23:23

I wasn't ready for this, getting one percent off Sasha.

Alexander Volchek00:23:28

Listen, if a man--

Alexander Volchek00:23:29

I always thought he was some kind of GPT maniac. Turns out I'm there.

Alexander Volchek00:23:35

Yeah, well, you got messages, you know, you know, you know, like, right? You still have chat rooms down there four times. That's the difference.

Alexander Volchek00:23:40

Well, I'm not fascinating with the chatting like you, yeah.

Alexander Volchek00:23:43

And Tanya, Tanya, still hit twenty percent of the people who have a system like her, and I still got a percentage. Still, there's a difference, yes, so we can show our viewers that there is a sharp, sharp curve, yes. It's clear there's a sharp curve. So a lot of people are in there like that, like-- you got 20 percent there, and then you're gonna get a sharp fall, yeah. And there's a lot of people with 2,000,800 chat, probably not enough. But what matters is, first, I recounted, I re-entered, it showed me a new, new interest, and that's why I wouldn't trust these percentages. But the number of chat and messages is still less read correctly. Although not yet the evening, New Year has not yet come, so that means that 2,000 to twenty-fifth year is coming, and that's why it's counted, Tanya, there was a time where we were talking, I think, on the number of December 20.

00:24:40–00:27:24Year 2000 Outcome of ChatGPT " Your Year 2025: Use statistics
Alexander Volchek00:24:40

So it was counted, there, yes, maybe for ten days you'd have hit me, and then you'd send me another--

Tatyana Tsvetkova00:24:40

That's enough. We were sitting during Christmas dinner, Sasha never turned to GPT chat, and I turned five times.

Alexander Volchek00:24:50

Yeah. Tanya, make new chat.

Mix00:24:53

Yeah, I'll work on the chat-making.

Alexander Volchek00:24:57

Look at the example. Why did Tanya have this kind of feeling? I mean, she knows I'm very involved in the use of various auti-autia- automation. I'm still using different systems, using another Grok, there's Gemini, different, different side modules, and I'm going in on API a lot of use. I'm sure I have a team, staff who do a lot of work. But the point is what? That she thought there was a huge difference that she was not supposed to use. But if you look at Tanya, Tanya's just a case, you know, you're definitely a man with a number of messages, you've still created, you know, six hundred and ninety-six chats. I mean, it's two-chats a day and... I had two-- how much do I have? Two thousand, two thousand eight hundred and thirty three, yes. And...

Mix00:25:46

I have more pictures.

Alexander Volchek00:25:48

Yeah, I don't know how much it is--

Mix00:25:50

Once.

Alexander Volchek00:25:51

Yeah, eight or nine chat a day, 'cause I don't generate pictures with GPT chat, yeah. And you sent the messages, yes. I mean, I made nine chat rooms a day. I mean, I don't think it's a big number, and I thought I was not nine chat a day creating something I'm building, I don't know, there's 15, 20 chat a day. But I mean, of course, I've been very much down the last quarter of the chatting, because I've been using these old ones in the projects. Well, I've refilled it. By the way, I finally got one chat in the max of all systems and the desscratic- web interface stopped, too, and I wrote, "You're not gonna work anymore." But I've had this in one chat, yeah, inside. You write the audience, by the way, what subject you have such chat if you're here. Well, usually professionally, there, in the codeing or in the text work. I'm not gonna be surprised, but I had chat there quite simple. I got chat-- I got a max on the bidding. I mean, I have chat rooms where I buy some stock or investment. I mean, I've got a maxim in my algorithm. But Tanya's what she sent is 11, 12 thousand messages, Tan, 11,500 messages and 11,000, 11,500 messages. Let's be honest. That means 30 messages, 30 messages a day. That's what's good for real. I mean, Tanya and ChatGPT are her life tool.

Mentions: ChatGPT
00:27:24–00:30:03Year 2000 Outcome of ChatGPT " Your Year 2025: Use statistics
Alexander Volchek00:27:24

Yes, Dinar, yes.

Discussion participant00:27:24

Tanya, you're just a much more active ChatGPT user than I am, because I've been throwing statistics in my last six months, this account, I've got six months, and I've got two hundred twenty. Three gata are made in six months. Well, that's for comparison, right? And two and a half thousand messages sent. So you're more likely to use ChatGPT than I do. It's actually interesting if our users, well, users, if our viewers in the comments write who has the statistics.

Mentions: ChatGPT
Alexander Volchek00:27:54

Of course!

Discussion participant00:27:55

Yeah. And what's interesting is...

Mix00:27:56

Absolutely unexpected.

Discussion participant00:27:58

At least two of these numbers, yes, there's a number of chat rooms, a number of messages just to understand that distribution.

Tatyana Tsvetkova00:28:03

I wonder what the most-- wait, the most questionable questions he's giving, too. I don't remember how I was in English, I don't remember how it was in Russian. And when Sasha said that I had a chat all over myself, I thought it was gonna be about his dog right now. Because in one of the most questioned, he had-

Alexander Volchek00:28:27

That's very strange.

Mix00:28:27

"And this is a sorcerer?"

Alexander Volchek00:28:30

It's like, but to be honest, it's like hallucination, because the percentage of my dog chats is zero per cent. No, Danin, what are you? There's a micro, some micro there.

Alexander Volchek00:28:41

I'm kidding, I'm not taking this seriously either.

Alexander Volchek00:28:44

Ten chat, ten chats of 2,000, eight hundred chat, for example, a dog. He's writing to me, like, the first three of me, explain it, give me all the details, study carefully. It's strictly, the first three are strictly my favorite phrases at ChatGPT.

Mentions: ChatGPT
Alexander Volchek00:29:00

It's a communication style, I think it was something called it. Yeah.

Alexander Volchek00:29:04

Yeah. Next. Yes, your style. Here. And he says, "You talk now, curious, analytic, often clarify details, compare, some kind of nonsense. But the phrase is the most fun. Put your phrases out because I have the phrase "This is a sorcerer or not?" - the fifth number, so... It looks like it. I had a fourth number, "I was right?" I really asked, "Is that right?" But not enough. I can't say it's my style. And "Is it a sorcerer or not?" - it's a sort of a blur, I think it's some kind of nonsense. And, by the way, show me what kind of tops you've been in. I'm wondering what kind of a ChatGPT has, because we don't see everything. And what style do you have, man style, huh? Here you are, me and Tanya, for example. Also, interesting archetype, too. Tanya and I, you--

Mentions: ChatGPT
Mix00:29:52

I don't know what it looks like to ChatGPT.

Mentions: ChatGPT
Alexander Volchek00:29:55

What kind of archetype are you? What kind of archetype do you have? You have the same archetype as me or the other?

Mix00:29:59

Yeah, that's it.

Discussion participant00:30:00

It's a vengeance!

Alexander Volchek00:30:02

Yes!

00:30:03–00:32:57Year 2000 Outcome of ChatGPT " Your Year 2025: Use statistics
Discussion participant00:30:03

Yeah, it's the same.

Discussion participant00:30:03

Remember, Steven had a relationship with Maxim. They seemed like they were different people. And you, Ilnar, are a unique man in our party.

Alexander Volchek00:30:14

No, Ilnar is not a uni-- Ilnar has twenty-three percent.

Alexander Volchek00:30:16

In our party-- in our party, yeah. But I have a 20 percent archetype in general. So one fifth of all the lasers is exactly the same, yeah.

Alexander Volchek00:30:25

And our interest, and our archetip, Tanya, three points six or how many percent, right? I mean, we got three percent.

Discussion participant00:30:29

You're rare.

Alexander Volchek00:30:32

A rare, rare percentage of people with this kind of thing. And that, by the way, to be honest, is amazing. Well, I'm surprised how an engineer might be, and Ilnar's an architect. And since ChatGPT has eight hundred million users, I wonder how interesting it is to have twenty-three percent of engineers? I mean, you mean, there's a hundred and ninety thousand--

Mentions: ChatGPT
Discussion participant00:30:50

What they say was so many.

Alexander Volchek00:30:52

Oh, 100, ninety million engineers?

Ilnar Shafigullin00:30:55

I think the Wyb-coding is popular. Just try and hang around, they show you around, make an app.

Alexander Volchek00:31:01

Ilinar, 100, ninety million?

Ilnar Shafigullin00:31:02

At least they tried one or two times, and you must have been recorded in that amount.

Discussion participant00:31:06

I tried once.

Ilnar Shafigullin00:31:07

That's how they count?

Discussion participant00:31:08

I didn't do it.

Ilnar Shafigullin00:31:12

Not once an engineer, as they say.

Alexander Volchek00:31:14

I tried. No, Illnar, come on, so I tried, I think that Wyb-coding and engineering stuff, I've tried engineering things a lot, yeah. And we have three points of six percent. Well, I'm curious, anyway, to see other archetics, to put these percentages in the general sense... And these tops, because these tops are really embarrassing me. I mean, this is the tops that I've got, like, uh, for me, because I saw the number changed, and I don't know what that means. Maybe the more people do, it counts. So it didn't count all the people right. And you know what else might be? Maybe...

Discussion participant00:31:53

Maybe people started arguing.

Alexander Volchek00:31:53

...that's the percentage of people who used it. No, it's probably a percentage of people who started this quiz. So he's drawing conclusions from the percentage of people who started this victorine. I'm not surprised. And the engineers have started this victorine more often, right? Maybe because it's very strange. I just had a change of interest, so I'm embarrassed.

Discussion participant00:32:16

Mm-hmm.

Alexander Volchek00:32:17

But we'll see. We'll see where and what happens. Also, by the way, you're gonna be putting on the chat rooms now, of course, slide our canal, sign it, unless you're signed, and we're gonna want each other to go to New Year's. Right? From all of us. We've been closing the second New Year together. It's like, ninety plus or one hundred--

Ilnar Shafigullin00:32:40

Nine-nine graduation, yes.

Alexander Volchek00:32:41

Yeah, it's the 9th edition, the 9th edition.

Discussion participant00:32:43

Wow!

Alexander Volchek00:32:43

I'll see you on this Wednesday, on this Wednesday, 31 December, on a special issue, and next Sunday in a new year.