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Transcript · 057 · Voice Assistants Still Make Mistakes, While Scammers Already Use AI at Full Scale — ToTheMoon

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

Episode overview
00:00:00–00:00:40In this issue.
Ilnar Shafigullin00:00:00

And the fraud. Ah, the teacher in the States tried to frame the director.

Mentions: United States
Alexander Volchek00:00:04

We're already writing laws with artificial intelligence.

Ilnar Shafigullin00:00:06

When hundreds of millions of dollars are stolen with crypt and so on.

Tatyana Tsvetkova00:00:10

Having examined the large number of dates and different legislation, the perfect application is the same.

Alexander Mashrabov00:00:17

So far, the product has not been released, but three billion are estimated to have already risen three billion.

Alexander Volchek00:00:21

Age is not a risk at all? Or are they gonna make money at some point?

Alexander Mashrabov00:00:25

The quality of talent was something that, well, OpenAI, because in the 20th, 19th year, no one needed AI.

Alexander Volchek00:00:31

He writes everything all the time. And gave me the text I could analyse.

00:00:40–00:02:10Google Gemini hallucinations
Alexander Mashrabov00:00:40

Yeah. So with this Guglom, you see, there, see what the problem is? He's kind of uncomfortable. Google AI Mode, he's really been on my way for a while, but he's unpleasantly hallucinating. He has too much access to information. And frankly, it's already not enough to learn what hallucinations every model has. I'm like OpenAI, well, there's O4 mini, and this High and Grok is enough for me to have two. They both have their dolls. There's no time to deal with Guglom. I mean, I'm right now, I'm, uh, I'm having a slogan, not that slouce, I'm having a very strong habit, but I'm just going from Google to OpenAI right now. I mean, it's impossible to use Guglom. I'm going to OpenAI to search. I have a very strong habit, yes. I mean, I play games and movies, like, like when I was a kid. I mean, it's a very habit, very strong habit. But that's it, Google's done. I mean, it's really bad.

Mentions: Google · Google AI Mode · OpenAI
Ilnar Shafigullin00:01:40

Tell me about AI Mode. You're just looking for him, right? Here. Or he's down there in the infrastructure somewhere, I don't know.

Mentions: Google AI Mode
Alexander Mashrabov00:01:47

Well, look, Gemini's in Google, in the jimile, well, in the fight, of course, convenient. You got a file there, you want a folder on the file or a memorial. It's a normal subject, but there, well, because it's a unique offer, so no one else can. But there's a little dumb too, because you have a story in Gemini, you have one context in your jimile, right?

Mentions: Google · Google AI Mode
00:02:10–00:04:00Is Gemini worth something, "really good"?
Alexander Mashrabov00:02:10

And as you ask him, "Sammarize." Or there's a major takeaways, like something like that. You ask him always, and you can't understand what's going on. And that's history, it's useless. And, well, as it would be, well, it's clear that Google is trying to do everything, but they're not good at anything yet. So they're sort of, understand, and pictures are made, and videos, and Gemini, and AI Mode, and everything. But until I can't figure out where they're really good. I mean, I don't understand anything about this.

Ilnar Shafigullin00:02:45

They don't take it out, either, do they?

Alexander Mashrabov00:02:47

No, they're not really moving out in the search.

Ilnar Shafigullin00:02:50

I was just wondering. Well, I mean, I don't have any, but when I read the news, I think, well, the big guys came for Perplexity and, in fact, they're gonna get them out of this market right now, and Gugle's gonna have some kind of a similar thing. search. But it's not that yet, is it?

Mentions: Google
Alexander Volchek00:03:06

No, they're also cutting off the search, they're pouring some chips, but that's not the way it is. It's just Google search, you know, plus some extra shots sometimes. But it's not a completely new story in terms of, you know, a fundamentally new scenario of use. So if you look at the ChatGPT search, it's still a little different, right? You're different. He's looking for, checking, finding some kind of infu, then checking, looking. So it's not what you've been given, you've given some answers, and you're looking for them. I'm in Google, for example, asking questions, and this AI responds, well, offers some options. I don't understand, is that normal information, crazy? It feels like they're doing AI, which is just like a top-down thing on their search. That's a thing. They can be understood, yes, people are used to using the usual search.

00:04:00–00:05:55Gemini Metriki
Alexander Volchek00:04:00

I think the whole world is used to using a common search. But at the same time, by the way, there was an interesting invitation from Google. So, because they're being prosecuted, there's, like, all court proceedings, but it's always on every company's trial. And, short, it turns out that the metrics of AI Google's use have been in the air. Not because Google told me that, but because they had to report them in court proceedings. So they're now six hundred million users, five hundred million, five hundred million million. No, I'm sorry, the numbers are next. So they have three hundred and fifty million active users per month, and they have grown from nine million in the fall to 30 million, to 30 million by March. I mean, 35 million users a day. So Meta says they have like a half a billion, ChatGPT has six hundred million. Well, Zuckerberg, it's true, it's a billion-dollar. It's interesting that they've got the data. So, the users are up to the end, there's three hundred and fifty million active users at Gemini. So it's not Google's search. And I'm just saying that people probably use, you know, used to a normal search. How many do they have? Millions of users, and they don't need AI. Hello, everyone! We're on ToTheMoon, technological news and sites from the Silicon Valley all over the world. Sasha called a Google extract from the beginning with some words. That Google has increased access to his AI Mode, that's for the U.S. residents. We're not gonna repeat the words, but from the description and the tests, it's all very specific. But I think that--

Tatyana Tsvetkova00:05:43

It wasn't English.

Alexander Volchek00:05:44

Yeah. But I do, but I think they're all, of course, yeah, expanding, and they're gonna be slow to finish. You and I will all fight all these companies, talk, so they're bad, that Apple didn't give up Apple Intelligence.

00:05:55–00:06:30Collective action for Apple Intelligence
Alexander Volchek00:05:55

By the way, at Apple Intelligence, I think you told me that, yeah, Apple Intelligence was being sued.

Ilnar Shafigullin00:06:03

Collective suit.

Alexander Volchek00:06:04

Big... Huh?

Ilnar Shafigullin00:06:05

Collective action

Alexander Volchek00:06:07

Yeah, a collective action, yes, a collective action that they promised to do one thing at Apple Intelligence, and they didn't. Ia, well, that's still a good point, right? That's a good story. They promised last summer. Now, new discussions are under way that Apple will present the summer and describe that they will have a new interface, like, to be completely there.

00:06:30–00:07:00Function Summary in Apple Mail
Alexander Volchek00:06:30

But I think they're not gonna have anything special with Apple Intelligence, but at some point they're gonna get out, they're gonna have to. By the way, Apple has released the mall of the Sammari, but I use, uh, postal services, uh, Apple, yes, and base. And they have a summit. Well, generally, the summit is kind of comfortable, which is standard, and I'm used to it, yeah, to that. You've been talking about the summit at the beginning. That was a fun subject.

Ilnar Shafigullin00:06:57

From the same news, I just want to ask you.

00:07:00–00:10:59About Alexa Plus: plus and minus
Ilnar Shafigullin00:07:00

I'm the first thing about the AI Mod Google. And the second question is, I have a question about Alex. There's a lot of news on the street that Alexa Plus is a lot of users, which is a total volume, I think there's a four--- a million users. I'm not gonna tell you right now, but there are hundreds of thousands of users that are available to Alexa Plus.

Alexander Volchek00:07:18

One hundred thousand!

Ilnar Shafigullin00:07:19

You got here?

Alexander Volchek00:07:19

No, they're go-- yeah, they say they're... No, I understand it's some kind of closed use group. It's just that Alex is using billions, maybe a billion, I don't know how many. Well, I think a lot of people, hundreds of millions, maybe, huh? And they said they let 100 grand of a man Alex Plus who can do more natural, uh, dialogues, like, a complex task. By the way, there's an interesting case. They describe that they can perform difficult tasks on behalf of a person and, for example, their assistant, er, can order the goods themselves or call a taxi through side-by-side offers, that is, through side-by-side. annexes, not just through their own. By the way, I don't use Alex's book ever by Amazon, although I have Alexa a lot, I don't know, ten plus in the house, I don't use the order. You're using, Sasha, Tanya, you don't use a Amazon order like Alex?

Mentions: Amazon Alexa · Amazon
Tatyana Tsvetkova00:08:08

I tried, but experience wasn't very good, because she doesn't add it to that basket. We need to go in and check it out before we order it because it's messing up. Is there a point then?

Alexander Mashrabov00:08:26

Yeah, that's very bad. I mean, Amazon didn't introduce generative AI. To use Alexa now is ridiculous, very bad, and, well, I don't know where it goes.

Mentions: Amazon · Amazon Alexa
Tatyana Tsvetkova00:08:39

The only thing that's right is there to keep it from forgetting. You're in the kitchen, like, remembering that you're out of something. You can tell her to add to the basket because in an hour you'll forget it. But this must be the only thing. And so we'll have to re-check it.

Alexander Volchek00:08:57

And so is Alex plus the interesting point that, uh, Andy Jassy's inside said that this technology was still quite primitive and inaccurate, and that it was supposed to be clear that modern mushag agents had precision. There are only 30-60 percent of the hard-core teams. And it was very strangely market-responsive, by the way. And the shares even got Amazon because she's so open-minded, right? Someone like to come over, the head of the company said it wasn't really that cool. But notice that Apple didn't clean Siri, either. They had a total failure of Siri. And by the way, I wonder if I was talking to a man about the Yandex column. Well, they know they're not, well, not like that, but bye. Well, although they say they're cooler, but I haven't seen the baccalaureate, I don't know, maybe someone knows. Please write off users who know if you saw the good Yandex baccalaureates there, GPT. But what's the addition to the column? Well, let's be honest, if models have waiting time, nobody gets used to having a waiting time.

Mentions: Amazon
Alexander Volchek00:10:00

Who's not used to having a waiting time? So you're getting a delay. You got more, uh, uh, uh, uh, me, uh, my buddy said I was used to the weather being the perfect column, perfectly simple. And when they added the model, the column started to answer differently, sometimes stupid. And it turns out that, uh, there are some scenarios that should work on a very strict, well-defined algorithm, not because you're starting to offer some different things. And yet, when you have a very serious use scenario, you're facing this problem. I think that's one of the biggest problems for them, because if, by the way, which of our users is voice assistants, like ChatGPT has, like, inside or Meta now, it's released, too. There's a assistant inside, right? They're having an aggregation now. They released the app, and Zuckerberg just says, "We're kind of in a voice, we can all talk." Well, I'm ChatGPT with a voice that doesn't use a lot. Whoever uses a voice often, write down how you like the use scenario.

00:10:59–00:14:07ChatGPT experience
Alexander Volchek00:10:59

What kind of experience do you guys have with the voice-based scenario? Because I, uh, again, he keeps a special one. So, there's a lot of delays. You start talking, it doesn't understand you, you have to listen, don't.

Discussion participant00:11:11

Yeah, he's interrupting.

Ilnar Shafigullin00:11:13

With this addition, a reasoning option, yeah, which goes, thinks he answers in, like, a few minutes or something. I tried to imagine, and how would that be? You're talking to the column, and she needs to, like, five--

Alexander Volchek00:11:25

No.

Ilnar Shafigullin00:11:25

...minds. It'll be like the phone line and the music and the phrase, "Please stay on the line. When we find the answer, we'll be back."

Discussion participant00:11:33

Yeah.

Ilnar Shafigullin00:11:34

You're sitting there listening.

Alexander Volchek00:11:35

Half--- yeah, that's how it works until, of course, that's the speed, right? Next question is, who can do the crazy-- and the crazy speed at what? Probably at the chips, yeah, it should be and it's gonna be expensive. Well, that's what the speed is supposed to be. I see the difference, honestly, I still see the difference between two hundred dollars and twenty. And the speed of the answer. Well, I mean, speed, I got a $200 version of it. The response rate is completely different than the people for twenty. Well, at least that's what you see in that-- that's right next when people get answered or do, or the amount of inf. And then, well, now it's about three, yeah, it's like she's answering you, like, 15 seconds, and then maybe seven minutes. What's 15 seconds? You're waiting for the column, yes, Eldar, what you're saying. Well, as if you were, you were, like, jealous. It's like a Zoom, you're jealous. Here.

Discussion participant00:12:24

Or you didn't hear me at all.

Alexander Volchek00:12:26

Yeah. Or you didn't hear me at all, yes, I don't understand. Sasha, you use your voice?

Discussion participant00:12:31

Unfortunately, no. But you do.

Discussion participant00:12:34

Why?

Discussion participant00:12:35

Well, I do, I do, yeah. I mean, of course, more comfortable, but it's more with the baby, and it's not.

Discussion participant00:12:41

I think it's not comfortable. First, it's been a long time to listen to it, all the answers. It's hard to identify some of the main ones visually, much easier to see the main thoughts straight away. And I don't know, I tried, but it's really uncomfortable, and she's always interrupting. She's starting to answer. You're the most important thing.

Discussion participant00:13:04

That's right, she doesn't understand the t-temp of conversation, that's true.

Alexander Volchek00:13:08

Well, it's gonna be another world. Look, if we had a voice today, we still want a voice-over of that assistant, but if there's a voice-assistant who's gonna work as a whole as a good model, I don't know how 4O is, right? That, uh-a, that still shows quite different possibilities. And I think that what they don't do is, well, first of all, it's a terrible thing. Let's really introduce you. Even Yandex released his simple model. Imagine when people start talking to a column. One thing they're talking to is algorithm, it's worth nothing. The other thing they're talking to is a model that just endlessly starts eating, and people don't pay any money for it, and they won't pay. No one's gonna pay for that, right? And if it's more expensive, well, you've got a lot of people falling. Look, in ChatGPT, six hundred million users, I think they have twenty or thirty million payloads. Well, you have five percent, like you have paid users.

00:14:07–00:16:00Transpa Decree: AI‐Chunglasm K‐12 throughout the country
Alexander Volchek00:14:07

And to buy all this free design is getting really hard. And we see the amount of investment that start-ups attract. It's a huge investment. Oh, I want a subject, uh, up. First, we're on the channel of the skate Wednesday, about the Elanard and I filmed the education and, uh, we've been telling the different countries in detail about the education. And, by the way, the addendum, Eldar, to what we discussed, Trump, has now adopted a decree on the urgent integration of artificial intelligence courses into the school system throughout the country K-12. So federal, yeah, we just talked to Elnar about the US being all scattered. And then there's a decree. According to the decree, federal agencies should prioritize the software, well, the educator-- the education of schools. And they have set up a special working group, and the presidential challenge to the competition of innovation for schoolchildren in the field of artificial intelligence is being announced. Look who didn't see. Wednesday, we had a subject about education. It is remarkable that this helps to guide countries in which trends are generally taking place and how different they are. Yeah, when teachers in Japan say, "We're not even faith---" there's eight or a sco--- well, a small percentage of people believe that artificial intelligence will be good. And they say it's there, uh, killing a caligraphy or, uh, creative things. There are countries where, for example, India or China, where artificial intelligence is considered to be Chinese. If artificial intelligence can make my child more aware, we're willing to inject artificial intelligence wherever you want, yes. And there's a belief in India. There are different levels of implementation. In India, for example, 14 thousand, 14 thousand technical universities are introducing artificial intelligence.

00:16:00–00:19:03Cybercrimes in AI
Alexander Volchek00:16:00

So who didn't see, look who looked, write off how much you think about this subject and about education, and what are the topics of our extras? I'll remind you, we've got extra episodes on Wednesday, and that was the fourth edition. Oh, well, look, that's a nice subject. In Britain, a report on crime with artificial intelligence was released, and it was reported by a special, m, commission, yes. At, uh, this is, uh, the special emer-- emergent centre, it's special, yes, these special security technologies. And they warn of explosive growth, look, very explosive growth in cybercrime by artificial intelligence. And the report lists the cases of physping, a generosette that is difficult to distinguish from the present. Deep forgery of voices and videos, use for extortion of money and discrimination, fraudulent math centers based on artificial intelligence, automatically deceptive people by telephone, generation illegal content, like a child-operate-based operating graphic, yes. They call it an urgent agency, a special unit to combat artificial intelligence and to give the police new tools. There's a counter-intelligent intelligence capable of detecting such threats. Well, honestly, that's a very difficult subject, yes. From the development of countries, it will certainly be a loss in a vast number of countries, in a large number of regions. And while something comes up somewhere, it's gonna be a blow job, I think, in the United States, too, including, it's just a collo-- just some crazy-- crazy damage to what systems can do now. Write in the comments, which one of you is our viewers, who's been confronted with what you think about this? What do you see the most important problem boxes in the first place in terms of such fraudulent stories? By the way, maybe I'm wondering, Elnar, if you're gonna do that before-- special, yeah, too, because that's a learning subject. About, uh, crimes in the area of artificial intelligence, you know, using different nutcases of artificial intelligence.

Ilnar Shafigullin00:18:04

Yeah, that's interesting. The instrument that was released was too universal, yes, and it was unpredictable. And then everything goes on just in the fantasy of people. Someone's generating poems, someone watching what can be done with flowers, animals, there with medicine, something else. And someone starts to figure out how to put it. And here, of course, the fantasy is unlimited. And so, the explosives, and, to say, the explosive increase in the use of fraud, also shows how much this is a universal instrument and how it can be used.

Alexander Volchek00:18:34

Yeah, but the volume's just gonna grow, you know? But the volume will only be a disaster. There's still a lot of fields we don't even see. Or, or people have not yet learned to use various tools, for example. And I think it's gonna be a lot hard to deal with, given that the sensors, for example, are very much, yes. And there's a price question-- how's that? Price, price, quality and efficiency. We know, yes, that new topics in fraud are where people get hundreds of thousands of dollars, sometimes there's millions of dollars.

Mentions: United States
00:19:03–00:20:52Crypto-brush-degree $350 million through AI
Alexander Volchek00:19:03

This is one of the last cripple frauds. A man has a crypta that's got something of a tris of fifty million, some grandpa or someone in the United States. And there was a crypt like this, well, by the way, these standard ways. I mean, if I know a lot of things people say, there in Russia, they take credits in Sberbank, on a conditional basis, there's, like, 13, 15 million rubles, yeah. Grandpa's got three hundred fifty million, I think, crypts. Some kind of volume was just huge. Well, there's gonna be a signature of some sort of thing that was there, some kind of catastrophic amount. Crypts. You're sitting there, you think it's Grandpa, right?

Discussion participant00:19:42

Alexander Volchek00:19:44

How do they find and how do they know? Well, we heard, remember, we had some news that someone in Canada had come to the apartment because we knew it was a man with a lot of kryptics, right? And you don't remember, do you? And, uh, I think that was in Canada. And he's got--

Discussion participant00:19:59

Canada, yes.

Alexander Volchek00:19:59

Yeah, and he was taken...

Alexander Volchek00:20:00

Oh, yeah, and he got taken, and he got robbed, conditionally, because people are making some kind of data.

Discussion participant00:20:05

The kidnapping was news.

Alexander Volchek00:20:06

Yeah. Or a kid-- yes, or a kidnapping or a report. Well, there's another little design. And they're out there, they're out there, they're out there, they're anonymous, and they're all. Well, the money's gone, it's just gone, nobody can find anything.

Ilnar Shafigullin00:20:19

And the fraud. Somewhere early in the year, we remember, not early in the year, at the beginning, er, at the beginning of our year, yes, at the beginning of our year, that is, about a year ago, when we started out, there were some episodes, news where we were, They said that the teachers in the States, the teacher in the States tried to frame the director by generating his voice. And there's all racist speeches there, and then he tried to get him off the job. And that's how it all started, right? And that's what it's all about now, when hundreds of millions of dollars are being stolen with a crypt and so on.

Mentions: United States
00:20:52–00:22:13UAE: federal laws, with AI
Ilnar Shafigullin00:20:52

It's certainly very fast.

Alexander Volchek00:20:56

I wonder what parallel, for example, this week, the United Arab Emirates said that we were already writing laws with artificial intelligence, and they were the first country to be officially in place. They have been using artificial intelligence to write and analyse laws. It means they've got, and there's an egyda, a new regulatory artificial intelligence office, and they're putting in place a system to design federal and local laws, there, courts. Decisions, decrees, accelerating their adoption, etc. Well, they're using it very massly. We were talking about the U.S.-O.A. in terms of education, too. Well, they're on the front lines trying to do a lot of things there. And it is clear that there are criticisms that suggest that using artificial intelligence, like in laws, is very difficult, that algorithm may be wrong. Although I think it's weird to have some criticism, but logically, they're gonna reread it, re-check it, check some details. But just the speed of writing, I think the speed of the creation of space, right? Especially when you can learn a lot of data and do it. I think it's a very advanced story.

Discussion participant00:21:59

Yeah. And in the law, I think it's quite linear logic, unlike many other spheres. So, by analysing a lot of...

Alexander Volchek00:22:06

Sure.

Discussion participant00:22:06

The dates and different legislation, the general line can be removed and based on it...

00:22:13–00:23:55Startap in defence: 21-year-old faunder attracted +$185 million
Discussion participant00:22:13

I mean, in my opinion, it's perfect use.

Alexander Volchek00:22:17

Sasha, listen, please, there's this one launcher in the defense industry, Match Industries, and they said that, well, he's drawn attention to the fact that a twenty-one-year-old entrepreneur, So he came to attract $100 million and the total total investment there was $180,500. And there was a theme that the businessman was 20 years old, and he was so much money in the start-up, in defence. And the point is, the project is focused on new types of missile fuel and drone systems, right? So how many projects are being carried out by very young engineers. And all the more people show, well, more and more people with... very young, super young people who make starttaps. What's this got to do with it?

Alexander Mashrabov00:23:03

Yeah, well, if you look at the fastest-growing start-ups, there's Lovable, Mirkor, the Cursor, the ones that everyone has on the rumour. Yeah, sure, there's some mo-young guys, faunders are really cool. I think it's right, because objectively no new business models, no big enterprise of generative AI stories can be built. And, well, you gotta move fast on your vib. Oh, well, I think they've succeeded in that, right? So the only exception I'm saying is Eleven Labs, they're like, right now, in the sense of the voice of the generation, they're a big, big market leader. And all-- and they have a lot of use everywhere. I'm looking at the list now, and now the list is open to itself, and the fast-growing AI launchers.

00:23:55–00:25:48Why is "referring" more important than repeat‐founder experience
Alexander Mashrabov00:23:55

Yeah, there's almost everything, all of them, like, they don't just find repeaters, right, for example? It's just young, young, talented guys.

Alexander Volchek00:24:10

Funny, yeah, that it's like the point isn't exactly what founders are, and the point is not age or anything. Is this a matter of circumstance? What, what, then? Why is that how it works?

Alexander Mashrabov00:24:25

I think it's a big part of the game just, well, energy to move forward quickly. I think it's easy. That's the kind of thing we've got right now. Oh, yeah, so we see that, well, objectively, no company that was taking over the foundational model, under some kind of reserver, and nobody's got anything objectively. Well, I mean, OpenAI Anthropic is a pregenerative AI era, yes, frankly.

Alexander Volchek00:24:53

Well, that's different, different, different type of company.

Alexander Mashrabov00:24:57

Well, it's pregenerative AI. That is, many wanted to repeat OpenAI Anthropic et so forth. Thesis has a lot of people there, look at the Poolside, who left with GitHub, still hasn't released the product, but three billion, it's estimated, three billion have already risen. That's a complete, complete one. But I think it's gonna be really hard. I mean, yeah. I mean, I think there's a Mira Murati, Sierra, a kind of, uh, popular start-up, right? Or there's Ilya Sutskever, these start-ups, they're more focused on, first of all, you know, some kind of thing, the future, shorter. I mean, they're something, that's what's gonna be some next paradigm shift, and that they're gonna get caught first. But yes. I mean, they're like, in the current paradigm, none of them are near the winners.

Alexander Volchek00:25:44

Well, age, it's getting old, it's not a risk at

00:25:48–00:28:25Why is "referring" more important than repeat‐founder experience
Alexander Volchek00:25:48

all?

Alexander Mashrabov00:25:48

Oh, yeah, well, it means growth-- what's the age for, right? Age is needed to understand how to talk to people in the interpracies. That's it. Decision maker, how procurement is arranged, how rollout is built. Here's these, these are the interpracies of the game. There's no successful launch entrap, no. I mean, API selling the interprys isn't an ER. It's just API selling to enterprise, but it's not enterprise soft. Enterprise soft is Salesforce. There's one time that I've set everything up... or HubSpot. Anyway, never go back, so to speak, they're done. So I think that, as it is, in fact, all consumers in a certain way-- all these start-ups are consumers to some degree, right? There is no specific workflow that generative AI has built such start-ups into enterprise so that they grow fast, unknown yet. I mean, there are, of course, those who have dozens of millions of ARR, of course, but they, rather than rumour, are not hundreds of millions like Cursor has the same.

Mentions: Go
Alexander Volchek00:26:49

Yeah. And what happens in the end-- they just endlessly bury the funding or are they gonna make money at some point? That's not clear at all, is it?

Alexander Mashrabov00:27:00

Oh, well, venture capital is really hurting right now, right? I mean, no return. And if you're not in the OpenAI or some other cool fast-growing story, like Cursor, well, I don't know. What's the point? Why, huh? So it's a controversial moment, as if there's not enough people to spill. I mean, of course, there are large funds, like Lightspeed, Andrisson, Thrive, who raised large funds in the last year and a half under AI history, but generally, I think that... Yeah, because I think it's not that much capital, it's not like you're saying that there's a lot of capital. I mean, of course, OpenAI will not let anyone die, it's impossible just because they're in the oldget, and the others, I think, nothing is guaranteed.

Alexander Volchek00:27:53

Anyway, the big guy's developing.

Alexander Mashrabov00:27:56

I mean, the OpenAI won't let you die, that's right. How they'll be successful there, but... But they were leaders anyway, yes, there's a lot of niche. I'm just saying that's all about, uh, these rounds, that there are just bright guys from Google and that they need to be evaluated player, yeah, yard two, three, I think it's gonna be hard. I mean, of course, Mira's gonna collect money now, but she's gonna collect money, but I don't think it's like that model works at all.

Mentions: OpenAI · Google
00:28:25–00:29:30Grok from XAI is the fastest break of the year.
Alexander Mashrabov00:28:25

I mean, some very respectable people have raised a lot of money. I don't think it works. I mean, look at Elon Musk, the hiAI was very fast. They had unfair advantage of where to put in, but they were developing very quickly.

Alexander Volchek00:28:38

But they're really cool, they've done it very quickly. Well, let's just say it.

Alexander Mashrabov00:28:42

Yeah, yeah, yeah.

Alexander Volchek00:28:43

Grok quickly, Grok quickly, didn't he? It's probably the fastest, ever-moving, massive story in America.

Mentions: United States
Alexander Mashrabov00:28:49

Yeah, sure. And I think...

Alexander Volchek00:28:51

America.

Mentions: United States
Alexander Mashrabov00:28:51

That there's no company that's slowly moving in and getting such good results. I mean, I don't think that's what it is. The same Gamma, for example, is a presentation that makes 50 million ARRs now. Well, they're more than that, I guess. They'd be so much less rumoured here, they're always getting a release. I mean, no matter what, there's a fancy break in the fashion strip. I mean, of course, investors want to believe that they're gonna pull the next one like the one, like the open-ended, yeah, it happened. But, well, it's unlikely, because, well, the OpenAI has a talent quality that, well, it's not like it's been.

00:29:30–00:30:29Open-ended development
Alexander Mashrabov00:29:30

And secondly, the OpenAI, well, because in the twentieth, nineteenth year, AI was not needed by anyone, in fact, by their own, namely, generative AI. I mean, first of all, not repeat the concentration of talent, secondly, Sam Althman, well, there's no CEO there that's close enough to know, shorter, who has the same squills as him. He's all raised a billion pre-production, pre-revenue, we have to understand. I mean, and it's kind of got a very cool technology in there.

Alexander Mashrabov00:30:00

There's a very cool technology team. And of course, Mira Murati, we've all been watching interviews with you, haven't we? I mean, we're kind of seeing that, well, we're gonna have to be able to hold a punch. A lot of uncomfortable questions. Well, that's CEO's work, right? I mean, she's always the same job. I mean, we need to work with dissatisfaction-- media, disgruntled buyers, customers, etc. I mean, I think Sam's holding a stroke. Well, it's hard to tell about the world. We saw her cry.

Alexander Volchek00:30:25

Well, there was a special situation when he was taken down, and she got up there.

00:30:29–00:34:24Ray-Ban and AI-Culon sunglasses: as they work, new chips.
Alexander Volchek00:30:30

No, it was a famous interview, and she was asking about the data, she was crying, you know.

Alexander Volchek00:30:35

I want to raise that subject today. There, Meta now released information on Ray Ban's smart points, and they said all the photos and videos taken on those glasses would automatically be treated with neuronets and, uh, yeah, well, give the user the some secondary useful information. And right now, a lot of new reports are about the corn, well, that's about the one I've got here, that's the corn, yeah, Limitless. And, uh, I'm, uh, this pendant, which I've been doing since late March or, uh, since March 20th, I have this pendant and I don't know, I guess I don't know, I don't know, I guess. Although, I guess whoever wears glasses every day like Ilya Narrashkin, he'd have a built-in thing, you could wear glasses like that. The corn is a little hard, too, and you're thinking about losing it periodically, and so on. I'd like some, I don't know, a brooch or a button. There's new chips added. I mean, if Meta's in glasses all the videos and all the images automatically recognize, it's an opportunity to move on and post-analyse very quickly, right? You don't, well, if she does it right away, you're very easy to work with data, because you're gonna be loaded separately in the neurosized, so it's hard. The same thing in the fist. So he keeps taking the information I talk about and processing it. And they had a new thing there. They say that people's voices have recently appeared. So there's voices of people. I was surprised. I remember that pendant, he writes everything all the time and gives me the text I could analyse. There's a model with risoning, and there's no rizoning, right? And you can ask him, please tell him in the last ten days what the main conclusions I made there in the day, right? Or do me some summit or something. Interesting thing in terms of memories, some detail, analysis, there, and so on. And, but there was no vote. Then I come in at some point and I see I can hear voices. Not always. I mean, sometimes I can hear it, sometimes I can't listen to my voice. It turns out that he was supposed to diagnose something, gave the person the consent to be recorded or not given consent to be recorded in the vote. At the same time, the text is supposed to be being issued all the time. I mean, I still don't understand this subject, and as far as I can see, she, uh, reads some reports, somewhere some futurists write that it's just space and that's what everyone wanted. And there was a famous foetour, Brian Solis, right? He said that, uh, this thing would free human mind from biological restraints, right? Well, someone says that Limitless is just a hana, because it's a nightmare for confidentiality. What, how do you do that? And by the way, it's fun when you come out and someone sees this pen and the man asks, what does that mean? And you tell him, there's no difference, and there's someone who's got a bloke right up, yeah, which means you're hanging some kind of necklace. Although in the modern world, well, there's so much writing, some dictator, sensors. I remember I had micro-dixons in 2013, just like a nail, yeah, that I was recording. So very small, micro-smart. I mean, that's all writing. And, uh, well, that's an interesting observation about people's reaction. I'm in town somewhere or you're often, filming just so that there's no reaction when I tell someone I'm in a meeting, just dressing up to keep me from it. information, information, information, or it's in the middle of a conversation when you're dealing with someone, and there's some detail in the discussion. Well, of course, that's very interesting. What do you think about the devices?

00:34:24–00:37:12Is there a future for smart glasses and corns based on AI: the question of security
Alexander Volchek00:34:24

That's what Meta is starting to process. I think the glasses and the new ones will come, too. By the way, there's information that Apple is supposed to be planning on issuing such simplified glasses as well. There were details, given that their glasses were like, uh, not really, really, really, they were pretty good. Although I think that what they've tested technology has made such an important step with a bunch of cool chips, but what they're supposed to do is make small points. What do you think of these things? These are the corns, glasses, different recognition systems, biometrics, and so on, modern.

In my opinion, it's a perfectly insecure story. It's just a reminder that, uh, once Apple announced that they were starting to run with the OpenAI, this is Apple Intelligence, the first thing that Ilon Mack did, he said he would stop using Apple's phones there. In all their companies, yes, whatever it takes, it doesn't run away like that. Yeah, and I think that once there's a sort of glass and stuff, the first thing that's gonna happen, they'll be banned somewhere. And if you try to keep up with the story, like in the cafe, restaurants were rooms for smoking, non-smoking rooms, something like that, maybe, yeah, there's rooms for those who wear corns, glasses and halls for those who wear corns. I don't use these things.

Mentions: OpenAI
Alexander Volchek00:35:54

Yeah. And the halls where everyone sits in glasses, with the corns, with something, in the headphones, like in their world.

Alexander Volchek00:36:02

Yeah, but in public, it's very interesting. In a public place like you go to glasses and write down, there's supposed to be no restriction, just like you go on, like, a phone record, you can film. At the same time, it's supposed to be someone who can say--

Discussion participant00:36:13

Not everywhere.

Alexander Volchek00:36:13

Yeah, at the same time, someone can say, "Don't take me off." And this line is, these are thinnesses, nuances, micro, micro, micro, micro, micro-declars, they're very, uh, unrecognizable. You don't even know what you could have filmed or couldn't. I wonder what this corn system says you can shoot at a coffee shop because people-- listen to people, because people talk like that and it's supposed to be okay. At the same time, it's a border situation. And you're like, "Well, that's not a border situation. I kind of wrote it down, didn't you?

Mix00:36:45

What's the point?

Alexander Volchek00:36:46

Yeah, I guess it's a question, yeah, for what purpose, right? And that's also a fun thing, that this law, remember, came out in New York or something that they're gonna, uh--- they're gonna start a straight-up ticket if you use some faeces against people or something. some evidence by artificial intelligence, et cetera. But you're writing someone here, you're not planning on blackmailing him. If you're not planning on blackmailing, you're not supposed to break the rules.

00:37:12–00:40:00Is there a future for smart glasses and corns based on AI: the question of security
Alexander Volchek00:37:12

That's what I was doing, and then I looked.

Tatyana Tsvetkova00:37:12

And in court, I don't think I know, in Russia, you can't exactly use it, I don't know how in America.

Mentions: United States
Alexander Volchek00:37:18

In America--

Mentions: United States
Ilnar Shafigullin00:37:18

If you're for yourself, it's probably legal.

I'm the one who's worried about this being processed somewhere on servers. I mean, if all this has already gone somewhere, removed, not removed, how it works, how it is stored, for which it is used. That's a big question. I mean, if it was on the portables, there, I don't know, you have a computer in your pocket that's handling it, and you get some data, and it certainly doesn't go anywhere outside that computer. It's another story. And if you're conditional, I don't know, there, I forgot to turn it off and I don't know, well, you'll think about it. Uh, and it's all in the frame. And then, in fact, it went somewhere. I don't know. I don't like this story.

Alexander Volchek00:38:03

Write in the comments, by the way, who uses the chat differently. How much do you care if your data can be leaked or not? Also important, I think the information is because the people are getting bigger and more and more and more starting to throw away the confiscations. I mean, I remember earlier, I was two years ago when I threw a document, and I thought it was, so I put it in some system. Now, I, for example, have easily now begun to file all medical records, some sort of analysis contract, just automatically. I'm very rarely doing the-- well, this one that has temporary chat there, which is supposed to be a story. And again, we don't know, do we? I mean, this one's still chatting through the server. And it turns out you didn't have it. It doesn't mean they didn't have it. That's what the data they kept. That's the subject, she's... Write it. I wonder how anyone else would feel about it, what's going on. Sash, listen, you're on this. In the engineering environment, it's a problem, that when people are different-- how worried, engineers, how worried they are about when they're rolling into all systems, there's a code of theirs, an analysis of the documents. Something or anything parallel?

Alexander Mashrabov00:39:16

I don't know. I mean, it's like everyone's got a good grip. Now, to be honest, the question. I honestly think that generative AI is developing very in such a classic format that we are in a pure consumer phase of consumer consumers, consumers, right? When we talk about security, it's something like enterprise, right? So we didn't have any more major leaks into the generative AI, did we? I mean, I think it's as early as we're in generative AI, we haven't yet, we haven't come to enterprise applications. In fact, we're, uh, at a very early stage. I mean, as long as everyone's trying to just infiltrate, get value and figure out how to live with it.

00:40:00–00:42:21Is there a future for smart glasses and corns based on AI: the question of security
Alexander Mashrabov00:40:00

I'm a c--

Alexander Volchek00:40:00

To get out of this, how to live with it. I think we're still at an early stage, I'll be honest.

Discussion participant00:40:06

What, are you worried about early? But, yeah. But people in general are worried or not worried?

Alexander Volchek00:40:12

Of course, people think about it, but... No, I don't think they're really suffocating. Yeah, I don't think they're really scared, yeah.

Discussion participant00:40:19

Someone's writing the code, like software. Here, tell me. The software writes the program code, and he's putting it in the system, some unique code. Or a man has come up with some unique text, just some text, I don't know, and he's pouring it. Is he worried about it or not? Well, I'm not worried. They're not worried, are they?

Alexander Volchek00:40:36

No, you can definitely put a tie to give up.

Discussion participant00:40:42

Well, I guess I'll put a box in, and it's not clear where that necklace is. I mean, you're kind of putting a tie like a blank, but you don't understand, they're either studying or not studying, they're on the Internet, they're not on the Internet. I mean, you don't understand that. Is this a learning data?

Alexander Mashrabov00:40:58

I think when you're taking a tie off that you don't... No.

Discussion participant00:41:03

No? And in free versions, like, there, I don't know, GPT-Cheat.

Mix00:41:06

And free, I don't think you can take a glass off, but maybe--

Discussion participant00:41:08

There's no point.

Mix00:41:09

I think I might be wrong.

Discussion participant00:41:11

And in the tulls that help programme, how long do these tubes not keep content? Yeah, there's a question inside the rebellion. Elnar, do you have any sense when you're making, I don't know, some code or something, you're not afraid that you're gonna learn?

That's not true. But I don't put out what I'm gonna worry about, do I? Or what's under the NDA at the company. I mean, you're, like, you're in violation of the law, if you're putting something on the GPT, you know, that you're closed, you know, some licensed agreements. But I'm more worried about what? Well, there are glasses, they're gonna be filming all the time, right? And that video will be on... So when you're writing, you do it yourself, and you've got some random footage in your mirror, maybe something or something, right? I'm getting more worried about this when we talk about the things we can do, write videos, send these data to the processing and so on. But when you're sending it, you just make your own decision, send it or not. There's no kind of a worry.

Discussion participant00:42:11

So? Goodbye, everyone. I'll see you in a week. And plus, watch our postfactum graduations.