Common Leaders
Alex Efrimov's Journey through Innovation and Entrepreneurship
Embark on a mind-expanding dialogue with AI innovator Alex Efrimov as we traverse the intricate landscape of artificial intelligence in this episode. Alex, with his extensive two-decade expertise in neural networks, draws fascinating parallels between the trillion-parameter architectures of systems like OpenAI's GPT-4 and the intricacies of the human brain. We'll be shedding light on how these advanced AIs are not just transforming our understanding of machine learning but also hinting at uncharted territories in the cognitive realm, promising to redefine our future.
Venture with us into the depths of OpenAI's evolution, as I unravel the story behind their capped-profit model and the intellectual prowess of Sam Altman, whose fingerprints are evident in the organization's ascendancy. We grapple with the weighty concepts of centralized power and the societal ripples of AI—from job displacements to the blossoming of human creativity. This episode is a rare opportunity to explore the symbiotic relationship between AI's growth and the visionary leaders at its helm, offering a lens into the dynamics that drive tech giants like OpenAI.
Finally, the concept of digital employees gets a spotlight, thanks to Alex's insights into platforms like AirCody that are revolutionizing business operations. From our candid conversation, you'll witness the potential of AI not only in the professional sphere but also in crafting personal success and resilience amidst public scrutiny. Alex's narrative on entrepreneurship, from his formative years at Siberian Federal University to the advent of his digital work employee platforms, is a testament to the power of collaboration and innovation in shaping our lives in the digital age. Join us as we navigate the complexities of technology and success, all through the lens of AI's transformative journey.
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Thank You for Listening!
Embark on a mind-expanding dialogue with AI innovator Alex Efrimov as we traverse the intricate landscape of artificial intelligence in this episode. Alex, with his extensive two-decade expertise in neural networks, draws fascinating parallels between the trillion-parameter architectures of systems like OpenAI's GPT-4 and the intricacies of the human brain. We'll be shedding light on how these advanced AIs are not just transforming our understanding of machine learning but also hinting at uncharted territories in the cognitive realm, promising to redefine our future.
Venture with us into the depths of OpenAI's evolution, as I unravel the story behind their capped-profit model and the intellectual prowess of Sam Altman, whose fingerprints are evident in the organization's ascendancy. We grapple with the weighty concepts of centralized power and the societal ripples of AI—from job displacements to the blossoming of human creativity. This episode is a rare opportunity to explore the symbiotic relationship between AI's growth and the visionary leaders at its helm, offering a lens into the dynamics that drive tech giants like OpenAI.
Finally, the concept of digital employees gets a spotlight, thanks to Alex's insights into platforms like AirCody that are revolutionizing business operations. From our candid conversation, you'll witness the potential of AI not only in the professional sphere but also in crafting personal success and resilience amidst public scrutiny. Alex's narrative on entrepreneurship, from his formative years at Siberian Federal University to the advent of his digital work employee platforms, is a testament to the power of collaboration and innovation in shaping our lives in the digital age. Join us as we navigate the complexities of technology and success, all through the lens of AI's transformative journey.
Start for FREE
Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.
Thank You for Listening!
Hello and welcome to CreatorsStreamapp. Back live on screen with another human being. Not like AI, not a screen share, not like oh, it's been a while. You know other than just me and my cups of coffee. But welcome to the stage, Alex. Alex joined me behind the scenes a while back and today he's going to talk to us a little bit about AI. He is an AI inventor, I would say like, in a very brief word, he invents and has been inventing AI related products that have now, of course, sort of hit the ground running and blossomed because we all know about them. So I'm guessing he's probably been around AI much longer than you and I have, and I've been thinking about AI for probably about a decade now. So and I'm an idiot. So, Alex, please tell us a little bit about yourself, how we say your last name, so I don't butcher it too many times, and then also, what are you working on up there in NorCal related to AI and how long you've been doing it? Welcome.
Speaker 3:Yeah, thank you. Thank you, trevorvor. Thank you for having me today. It's a honor for me, uh, to like speak about ai related topics and what I do and how I can help people. Yeah, I agree with you, uh. Yeah, by the way, to pronounce my last name properly, it's alex efrimov, so try to remember if you could. So, yeah, and well, briefly speaking about me, so I've been doing like different AI related stuff for more than two decades.
Speaker 3:So I remember me like training my first neural network back in 2000, I think 2001. Fork back in 2000, I think 2001. So it was my uh project as a student and, uh, it was like funny enough to play around with it. But you know what, when I trained it uh, first time, I my first guess was that it was very stupid because, like any other algorithm can beat it like from first chance. It was very like small and tiny. But that time we just didn't realize that it's all about numbers, you know, because my neural network in 2001, it was like probably 1000 parameters, and right now they create neural networks with trillions of parameters, which is insane. Networks with trillions of parameters, which is insane. It takes like tens of million dollars or even hundreds million dollars to train this network, using like a lot of power. They even compare these yeah, what is training?
Speaker 1:what is training because? Is it like? It's not like when we go to training at our workplace, right? So when I think of training, my brain knows that in the classic training model as an employee, which is exactly kind of, what we're talking about is how that shit is going to take my job. So tell me how it's different to train a neural network. It sounds like we're talking about is training a neural network, and what's different about training a neural network versus training the human brain, for instance?
Speaker 3:just as a fun comparison, well, I would say they are very similar approaches because neural networks was invented back in the middle of 20th century, so it was invented in 1940s that the concept of neural networks and I would say that to train a human and train artificial neural network is something similar. So the overall idea is that you need to show different examples and say something like hey, these are good examples, these are bad examples. And if you multiply it by millions or trillions examples, then any human can understand what to do. And the same goes with neural networks. So narrow neural networks was invented as a kind of way how we can simulate our brain inside the computers. So they are pretty much similar to what we have in our brain. So in fact I can show you the picture here which is like quite common.
Speaker 3:So here how neural networks looks in our brain. It contains synapses and neurons. So these big guys are neurons and these like threads or like connections, they are synapses and in like mathematical world or in computer world, it's uh becomes a kind of a complex equation where we just uh sum and multiply some numbers and get some results. So all in all, uh, to answer your question, how like human training is different from neural network training. They are quite uh similar to each other and the the question is uh because uh human brains, at least right now they are much more advanced than uh existing neural networks. They just need yeah, they just need more like examples, more training. That's maybe the main difference, I would say.
Speaker 1:That's fascinating the way you said that. So may I ask a follow-up question to how you just compare them? What is the metric that you would use to compare them? So if we're going to compare whatever sports teams, there's a ranking system of like wins to losses somehow. How do you, how do you match up the human brain to the best I guess the best neural networks in the year aware of right now? Like how would you rank them, to even start to compare them?
Speaker 1:Because it feels to me, like an average person for the most part, that I wouldn't know how to quantify what they do together, to even adjust that. So oftentimes I feel afraid of AI and I think many people feel afraid of AI. But then to have you, who studied it for 20 plus years, potentially for you to say what you just said is reassuring. But I'm curious, like how do you look at that? Because the rest of us don't even know how to compare it. Right, like it's a totally different language in all the ways. But how do you compare an AI brain to which is a neural network, to a human?
Speaker 3:brain. Yes, somehow we can compare them. So just to give you some numbers, for example, so one of the most advanced or the most advanced model that we know right now, which is obviously OpenAI, chartgpt-4,. It contains 1.4 trillion parameters, and parameter is a kind of configuration number that we can change to train the neural network and essentially, in order to train neural network, we should find proper value for every one of all these 1.4 trillion parameters.
Speaker 3:Yeah, and human brain, as we know it contains about 100 billion neurons, but, uh, we cannot uh exactly compare like neurons to uh parameters, because parameters are all these like synapses or threads inside artificial brain and I can say that, as far as scientists know the human brain, it has like complex structure which we don't really know in details how they are connected, but I would say that right now, even the most advanced artificial model are still not there. It's not like it doesn't have more parameters than probably human brain has. But all the works in this area right now I think they are so promising that we might have something comparable to human brain in terms of configuration and amount of parameters and neurons. Probably next I don't know three or five years, because if we look at the evolution of the amount of parameters, for example. So previous version Chat gpt3, it had like 150 billion parameters and right now it's 10x and probably next model, like gpt5, it probably could be 10x more or more complex or something like that to To that end, do you feel so?
Speaker 1:I worked at a startup for a few years and one thing I learned at a startup and maybe you'll relate this to how they've grown is, I feel like at a startup that has a decent culture, like the right people regardless of how many people it is, doesn't matter whether it's one or a hundred. You have to have the right people around you to make any company work, or any. It sounds like every neural network still needs the right people running it in order to be long-term successful. So it's interesting, because it's like we are still the puppeteers. Is what you're basically saying, in a way? Is we is? Is, uh, this, this thing that is the human brain, is still a little bit ahead of AI, which is super cool.
Speaker 1:But in startup time I would have said whatever my boss always told me, corey, I would cut it in a third. I just knew we were going to do it in between half the time to a third of the time that we thought it should get done. It was probably going to happen that much faster, almost always because we would hustle, and when you get enough people hustling the right way, like you, can make things happen, and that was, for the most part, pretty true is we exceeded expectations most of the time and so you have to kind of get the speed of an industry or the speed of the technology. So in something like AI, like you're saying, with the way that chat, gpt has been growing, it's such an alarming that's wrong, but just at the lightning speed that it's been growing. And you said three to five years. That makes me want to divide three to five years by 10.
Speaker 1:So, if we were to just exponentially take that out, then what would we do? That would be, let's say, three years divided by no, 10 times 12 months, and we divided that by three, that's a year from now. So I think what I would counter to you is that we'll be there a year from now. What would that mean? And how would we know when the neural network Because I've heard stories that some neural networks have already gotten ahead of the scientists that were managing it in some places where, like they realized a change that the neural network had made, not in malice towards humans per se, but had just made without notifying anyone, which is against what that had been told to do, basically. So I wondered if you had any thoughts on how you would measure it when we also sort of know that potentially some of the machine models are already building in things that people have missed.
Speaker 3:Well, I think they do right now. So, if we talk about different tasks, such as content summar, summarization, document summarization, extracting meaningful information, probably neural networks are better than humans, uh, and more efficient in terms of, uh like, the speed. Because, uh, I imagine, if you want to I don't know read a new book, even if it contains 100 pages, for you it will take, I don't know, at least a day to read it and then summarize and propose something I don't know, a summary of the book of, or something. But uh, current models, they uh do this work like easily. They can give you a summary after I don't know 15 seconds or 20 seconds or something like that.
Speaker 3:But if we talk right now, there are a lot of talks about not just ai but agi, which is artificial general intelligence, and different people define it differently. So, I, there is no like one definition what is general artificial intelligence? But like, generally speaking, it's something comparable to a medium human. So you can imagine that, uh, I don't know any workers, what you can hire on junior position or maybe even middle position, can be, uh, I don't know, replaced or augmented by the ai brain, which can literally do the same job, do reasoning at the same level as any medium person can do. Probably they won't be genius. But genius don't work on obvious jobs, right?
Speaker 1:So most of the people they are just… Okay, okay, all right, I'm going to press you on it. So let's take what is the biggest company in the world according to Alex. Biggest organization. So when I think of company or organization, I mean like the top part. So you know the people that own all those luxury brands. What's their names? It starts with an A. Their names that starts with a. Um, they live in europe somewhere. Oh my gosh, what's their name? They're always in the news. They're like they own every famous luxury clothing brand in the entire world. Um, so I would imagine that an organization that's worldwide has a certain structure. So what would you think is the biggest organization in the whole world according to Alex? Like Disney, not Disney.
Speaker 1:Do you mean the biggest organization in terms of amount of employees? Let's.
Speaker 2:I would say influence, influence.
Speaker 1:The most influential companies in the world. You give me like a top five or ten, if you don't want to commit to one, but I would say, like companies, that you would look at them and you would say the people that run that particular organization, like their president and their directors, they are the ones dealing with world leaders frequently because of the type of work they do, like what are the? And then also in culture, you know, because some cultural icons really transcend culture and they get involved in everything now. So I just wonder, like Snoop Dogg right, everybody knows Snoop Dogg. Snoop Dogg has transcended every expectation that would be set for him 35 years ago in his industry. So I wonder, when you think of organizations or brands or just powerhouses that move everything that we pay attention to, that's what I'm thinking of. It's like the smartest, most savvy people in the world that have the receipts to prove it. Who are they? What are the brands, what are the names?
Speaker 3:Well, maybe it's going to be a surprise, but probably, to be honest, the most influential organization is the Catholic Church. I would say say because probably it influences like a lot of people.
Speaker 1:Wow, that's a that's a beautiful answer, by the way. I really appreciate how serious you took that, because I didn't want a regular answer. I wanted the answer that you felt was the most honest, because there's so many limiting factors when you think about how much influence a person has.
Speaker 3:Because it's not about money, it's not about any one particular metric, it's about moving something is that the way you were looking at it when you said the catholic church is something that just no directly influences the way the brain works, and I'm like a mass amount of people, no, if, if we, if we are talking about the way like brain works and all these like uh things that will influence our us in the future, probably I would, yeah, I would put open ai, maybe right now. At the first place, because they managed to uh attract a lot of uh bright minds to the organization and, as you know, right now they are uh. So initially they started as a open source organization and there were a lot of complaints from elon musk about that that's. I mean that's. At some point of time they uh stopped to be uh open source organization and they closed all the source codes. But right now they operate under very exotic uh model, business model.
Speaker 3:I would say it's not non-profit organization, it's a profitable, but with a cap, uh defining it.
Speaker 3:To be kind of, if you are investor of this uh organization, you cannot uh gain like very high margin, high profit, something like that.
Speaker 3:So, for example, microsoft right now, they invested like a lot I think probably it counts to like hundreds of millions or even like a billion of dollars in this organization in form of money and also in form of resources that they provide, because they are biggest uh cloud, uh cloud operator, but uh, still, they don't. They cannot, like, uh, get as much profit as as they could do with any profitable organization, and probably this idea attract a lot of entrepreneurship minds or a lot of researchers who think that they act for, like or in profit of the humanity. Probably that's my kind of guess and, as I see here in the in the Bay Area, I know some of the engineers who work and researchers who work for OpenAI and I always ask them why they work for this organization and, yeah, most of them answered to me that they chose this organization because they think that they can do something better for humanity, not just in terms of earning money or something.
Speaker 1:What do they think they're going to do better? I appreciate the behind the scenes stories. That's so cool, um, as I'm like looking through wikipedia, it's like it's hard to not want to ask a million questions about all the things that you could possibly know, um, regarding these things, but I I'm curious about the relationships between the people that run the neural network. That is, in this case, like, what were we talking about is OpenAI, so let's pick one of their people. Who do you think, if they were all sitting in a room, we have a guy named Brett Taylor, a guy named Sam Altman, a guy named Greg Brockman, a person named Ilya Saks, yep, and Mira Mirati. Who, in that room, has the most leverage in an arm wrestling match about decisions, do you think?
Speaker 3:Well, Sam Altman definitely. He showed that with a recent story when they had part-time trying to fire him and he got back and I think he got even more power after this return. So that's.
Speaker 1:That's super wild. So what's uh Knowing all of that? Because you're playing well with my silly question, so thank you. I want to go one more deeper on Altman. So tell me about Sam Altman in terms of a relationship. So I know it would be easy to talk about all the things, but he's been so reported on and this has been so over-reported on, I think, and probably some of the ways that missed the mark.
Speaker 1:I wonder what your thoughts specifically about this human from? He's 38 years old, he's from Chicago, he went to Stanford and he's basically done from a financial perspective only. If I only knew one thing about him he's done financially, everything right. It seems like he's a very smart person. I want to talk about his brain. Do you think that's different about his brain?
Speaker 1:If you were to examine sam altman's brain as a neural network, what do you think you would find that's unique about sam altman? That's specific to him, because we could talk about elon and people like to pick on el. He's become like transcended everything he has accomplished to only become a dirtbag, which is unfortunate to his former self that accomplished a lot of really cool things. But let's pick on Sam Altman for a second, because I think he'll be a name that's in the history books, depending on who writes the history books. So what do you know about Sam? Do you trust him? You trust him, do, do you? Are you glad that he's the one that has the keys to the kingdom? And, um, if, if you're only lukewarm on it, is there someone that you would love to see have the keys to that kingdom. That is sam altman. Like if there was a next sam altman at that company. Who do you hope it would be, and why?
Speaker 3:Well, first of all, I personally don't know Sam, so I haven't talked to him.
Speaker 1:But you study the industry, right?
Speaker 3:Yeah, so as far as I know, he made tremendous progress because he ran Y Com combinator for uh for some time and then he switched to his work in open ai. So I think he has like he, he has seen like a lot of different startups and the reason why he chose uh to join uh open ai at least for me so he saw something in this company and he saw something. And, if we remember, the company started, I guess, in 2015, when nobody believed that AI can make any difference. Everybody thought that, oh, ai is something like machine learning or NLP or something like that, so no one believed that this thing thing could become huge and sam did, and that makes him a person who is uh, I think uh, who is a good leader, who can see the way where like company can go, where company can uh, what company can do so in this case, I trust, trust him in some way, but, on the other hand, I would say I don't want somebody who has all the keys from our kingdom or our kingdoms, because I truly believe that it should be a cooperation of people and I think it's a very dangerous situation if one person can, like uh, have so much authority, so much power to um like influence or impact, uh, human lives.
Speaker 3:Because even if this person will be very I don't know, very uh good, very generous and has all these uh virtues good virtues uh, still, uh, there is very big opportunity for such person, or big risk that such person might become, may become, I don't know, evil or do some bad things that we don't want him to do, and that's also one of the reason why I would maybe it's it's only my futuristic vision, but, uh, from my point of view, at some point of time maybe not in five years, not in 10 years, but maybe in 100 years it's quite wise for human to uh like to give control to neural networks or ai to judge on some things, because AI it is not only like a intelligent entity, but it is also distributed entity which operates not from the single point, not from, not with just one idea in mind, but it has all the ideas and it can like distribute and it can wait different positions and try to find the better, probably decision or better situation.
Speaker 1:So yeah, that's, it's. Uh, it's a wild time with it. I know um you. You could probably talk specifically about this topic. What do you think for 15, 16 hours straight, do you figure?
Speaker 3:yeah, probably because 16 hours straight, do you figure? Yeah, probably Because I really believe in the future of AI. I'm just a bit worried about the social impact that it might provide on humanity. I mean, not the, not, not the, not the risk that everybody will lose their job. It will happen eventually, but how people will? Yeah, but how people will react to and that's not a bad thing Like Nobody wants to work, really, everybody wants to just enjoy their life. Do some I don't know art stuff or create music, create pictures or just enjoy.
Speaker 1:I 100 percent agree, I think. I think I have one thousand percent. So it really is I'm glad you brought that up related to the workforce, since that is the title, and we do get off topic on occasion and shows of Trevor involved. So, talking about the workforce specifically, I agree with you, since that is the title and we do get off topic on occasion and shows of trevor involved. So, um, talking about the workforce specifically, I agree with you. That's why I'm interested in the creator world. That's why I do what I do.
Speaker 1:It's not because I want to be lazy although it is nice to be lazy sometimes, I will be honest but I think it's more interesting to take bigger shots right now, I think, because of where humanity feels like it is at times, because of what's portrayed in our media and it's not to be like conspiratorial, it's just like there's so much pressure on everybody to worry about the microcosms of their world.
Speaker 1:And then I get a chance to talk to you about something like this and it really is like quite interesting. Talk to you about something like this and it's and it really is like quite interesting the different um like, if you're not studying it, how hard it is to understand both the macro but also the micro of the topic of something like ai although the topic of ai is not new to the world. So I did a paper on it like 10 years ago, like I, and people weren't really talking about it then and so I felt like kind of kooky and I feel like people still sort of treat it that way at times and I'm like you don't understand if you have waited this long to adopt it. And I sort of wonder also if you feel the same way about computers. I think computers people take for granted how long they've been in our lives, which is a long time now, and we feel like sometimes it was yesterday.
Speaker 1:It's been 40 years, 50 years right of computers now yeah it's been been a long time of this, so I feel like the fact that it's been this long, that the computers have allowed us to live is quite wonderful. So I got nothing but love for all the aliens and all the computers that are listening, all of the ai that listens to everything we fucking say. It's like please don't shoot me, I'm happy to be on your side. You know what I'm saying.
Speaker 1:Like I will switch sides in a heartbeat that's, it feels like. Do you think we're gonna face that decision ever? Would ai make us choose between obeying their leadership and obeying our leadership, as you kind of put it?
Speaker 3:I don't think that, or I hope that we're not going to be in such situation. I hope that it will be still human's decision to like give control to AI, but I think at some point in time it will be a necessity to do that, and not only necessity, but just I don't know it will be pragmatic way because AI will do it better. I just again, I'm not worried about these things. I'm just worried about the social impact and the speed of innovations right now. Because what's happening right now? So I'm watching all the news connected with AI. And because what's happening right now? So I'm watching all the news connected with AI and I see what's happening and I cannot compare it to anything that I've saw in my life, Because I've seen a lot of things in my life, like appearance of personal computers, appearance of, like internet, social networks, like a lot of stuff. But I can say that something that's happening right now, it's so fast because it started just two years ago, literally, and right now we are at some level that nobody really understands and it keeps going. So we are right now. We are waiting for the next open ai model.
Speaker 3:So what I'm trying to say is that probably humanity needs some time to kind of be like to adapt to what's happening right now. Uh, in order to not not to be like offensive to what's happening, in order to be uh, to be able to uh, I don't know, to choose the new economic system for countries, to choose new social programs for people, something like that. That's the only thing, but I think it's going to happen. And people who are talking right now about I'm sure you heard people like Elon Musk talking about that we need to stop all the developments about AI. While I don't agree with like ban AI at all, but I'm sure that we need to maybe slow it down a bit, just for human to adapt to what's happening right now and use everything that's already existed, Because all these language models or, for example, Sora video models they are insane and it will be I don't know maybe a year for people to just start using it properly at the level where they have it right now. So that's yeah that's.
Speaker 1:It's, it's wild, it's definitely, I feel, like it's coming for everybody. It's respectfully, it's like it's already here. So, um, to me it's. I agree with everything you said and that's why I kind of let you just go at it, because, um, it's cool to hear it from somebody who is more in the know than the average person, because you know not to talk too much politics, but politics loves to focus on everything drastic in the world rather than just having a level conversation about stuff, about stuff, and to just sit and have a conversation about how it's going to impact jobs in a serious way rather than in a fearful way is probably going to be more helpful to everyone. So it's nice to have a conversation that's just like, hey, like, not only do I agree with it as an expert, but also I have some ideas for how it's going to look. It sounds like for the average person, which is super cool. But you also have a unique product, of course, and I believe that that's where the Air Cody right is. Maybe you could tie me into the Air Cody conversation, alex. I really appreciate you being here and kind of diving deep. It's going to scare some people at depths and I think that. That's the cool part about how we can kind of like step back and forth into it and allow people to hang around for as long as they want in terms of each back and forth we have. So thanks for playing along a little bit and being here with me.
Speaker 1:It's exciting for me to talk AI with someone that's so smart and so and so passionate about it. Like I appreciate your passion. It's not just a profession to you and so passionate about it Like I appreciate your passion. It's not just a profession to you, it's not just a software development thing to you that you took in college no disrespect to that but it's a true passion you've had your whole life.
Speaker 1:Like my family are all farmers and it's not because of the money, right, it's because they're passionate and they love doing it. It's like they willingly chose that path a long, long time ago and it sounds like it's the same for you. So it's super cool to talk to someone who's intimate with it in that way. Talk to me about how you are planning on contributing to the AI sort of turn of page as we get into it, and then team me up a little bit on AirCody and what can we show the people and send me where to go, and I'll just, I'll sit back and follow your instructions on what you want me to show, if you don't mind.
Speaker 3:Yeah, I just wanted to probably show what we are working on in ARCody. So, basically, we develop a platform for digital employees. So here is how they look like. So it's more like a more natural way how people interact with them. It's video avatar so they can speak to us. They can like ask multiple questions.
Speaker 3:Hello and welcome to AirCody. How can I assist you with your business automation needs today? So, as you can see here, it's like a digital employee that works on our website and explain, explains people what we do, how we work, so we can communicate to him. Hello, can you tell me what services do you offer? And he can respond back. So we set him an instruction and provided all the information about our company so he is able to respond to all the questions that people ask on our website. Yeah, and also he's able to schedule a call with me. So if somebody goes to our web page, this digital employee can book a meeting with me and capture all the information, such as name and email and phone number, so I can be in contact with the person.
Speaker 3:And another thing that also I wanted to show is this another digital employee, this kind of different version of employee. This is a new AI. It's a platform that for these digital employees which we are working with and developing technologically. So, basically, the digital employee is the AI entity that can be connected to a company infrastructure such as CRM database, like logistic system, accounting system and stuff. Also, this employee has multiple communicational channels, such as phone or text messages or be on a website, and people can interact with this employee. And this employee can also help people to answer some questions about company, help them navigate about services and products of the company. Also, this employee is able to book meetings, book calls or do whatever save information to CRM, retrieve some recent orders or do stuff like that.
Speaker 1:Is this one that we can play around with? Do you have one that we can play around with?
Speaker 3:Yeah, so you can go to our website and play around with. So let me share again so we can.
Speaker 1:Yeah, walk us through it. I feel like what we did privately was something that was kind of fun, but I would love to have you do it, since you might be able to walk it through in a slightly more friendly way than I can. Um, you know what I'm saying? How? How is the audio and video on your end, alex? It's? Uh, my internet is is busting over here, but how are things on your end for hearing and seeing? Is everything working all right?
Speaker 1:yeah, yeah okay, cool, just thought I'd check in really fast, so I'll pull up the screen and, um, yeah, yeah, well, so what I'm going to be doing in the background, just so you know, yeah is I'm going to share a post on linkedin really fast just to tell everybody how exciting this is right now. That's why I put up the fancy background is I feel like this is where it's going to take a turn, for the crazy, like y'all are about to see the advanced type of shit that this guy has been working on for his whole life, like this is your life's work is. Is that a fair assessment?
Speaker 3:Yeah.
Speaker 1:All right. What is the best place? If somebody, Alex, wants to support specifically you Because I need to grab that link too Like if somebody wants to go to this website or if somebody wants to, I guess, specifically find out how they can employ your services and what you're doing and support you, where would you send them first?
Speaker 3:Yeah, it could be LinkedIn or it can be a form on our website here to get in touch and they can click it and schedule a meeting with me or talk to my avatar and schedule this meeting as well.
Speaker 1:Where is that? Where would we go to find your avatar?
Speaker 3:So the website is aircodycom. This is the website that I'm showing right now, and at the bottom of the screen there is get in touch button and you go to a calendar link where you can schedule a call with me and talk about our services or what we do or, I don't know, maybe ask a question about any AI-related thing.
Speaker 1:Cool, that's awesome. Do you mind if we take a quick aside here just to shout out LinkedIn, because that's how we met. So I thought maybe what we'll do is we'll just pop this in here. How do you think we should make the post? Help me make a good LinkedIn post that you'll be proud of for me. Should I make our stream the focus? Should I make your website the focus? Because obviously I can put multiple links in here. Which link do you want it to preview? Because this is this is what it looks like. If it previews your website, yeah, but I can also have it preview this stream, or I can have it preview how to add themselves to this, or I could have them add to your specific LinkedIn profile. So if, if, uh, the 10 most important people in my LinkedIn feed saw something from you today, what would you want it to be?
Speaker 3:that's the right question yeah, I think you can share link my LinkedIn URL and also the stream URL and, yeah, if we were to tell them something, just let them look at the stream and hear to all the information that we shared today and probably they will contact me.
Speaker 1:This is you. Yeah, how long have you been, you, alex? Uh, it's been uh 49 years you said 49, yeah, no, 39, 39. I was like, oh yeah, makes sense to me, we're in the same age bracket. You went to Siberian Federal University. What city is that in?
Speaker 3:Oh, it's Krasnoyarsk. It's far away from here.
Speaker 1:That's wild. And you were there for six years to get a degree in electrical engineering. So is your passion, like, like, how did you make the transition, like what's the relationship, I guess, between those two fields?
Speaker 3:that's interesting well, actually, uh, I wanted to go to uh like any computer science university, but then ended up in radio engineering and also there I worked with uh low-code programming, such as created programs on assembler, created microchips and neural networks, so it was fun that's cool, all right.
Speaker 1:And then you asperity. Is that?
Speaker 3:asperity is what we're talking about today uh, asperity is one of my companies which work with software development.
Speaker 1:Okay, and then LingPrism. Is that what we're talking about today?
Speaker 3:No, today we are talking about AirCody and Nuwa, so you wanted to find the link to Nuwa. It's Nuwaai Nuwaai, like Nu-O dot AI. It's a new war AI, new world AI. Like new oh dot AI, new W oh dot AI.
Speaker 1:It can't be this, is it this?
Speaker 2:Yeah.
Speaker 3:This is a digital work employees platform. Okay, yeah, you can put this link as well all right, cool, I like this one.
Speaker 1:That's wild. All right. So you've had quite a journey, though, to get to where you are. Thanks for thanks for assigning there with me. I just like to see how people get to where they are. It takes like people look at education and then I feel like once we get into our 30s, people stop giving a crap what we did in our early career. You know it's like look at my resume, people. That's what it's there for. Um, that's why I love linkedin. What do you love most about linkedin? Let's give a little love to that weird platform, because it is weird, right?
Speaker 3:I feel like it gets weirder every day uh, the the best thing about linkedin is that everybody is there.
Speaker 1:Who is the most interesting?
Speaker 3:person that you've met because of LinkedIn so far? That's an interesting question. I don't know Probably one of the founders of a startup with which we've been working for three years or something. It was a startup, so this guy is from AWS and his startup yeah, it's a monitoring service for all the cloud computing services, such as AWS, amazon and stuff. We met because of LinkedIn and then we built trustworthy relationships for a long time. That's why I'm thankful to LinkedIn.
Speaker 1:Dude, it's an interesting place. How long have you been active on LinkedIn, would you say?
Speaker 3:I don't know, probably 10 years or so, or maybe even 12 years.
Speaker 1:Yeah, I've been on it a while too. People look at me like I'm crazy, but it's like somebody told me early on. That's where all the business gets done, so that's why I've hung out there. So here we are. I want to get the, the code up really fast so people can um, can just scan it for all of eternity, so that way, if one of us gets famous, they'll be able to be able to reference back. There was that one time that we talked, and it will forever be stuck in your algorithm. If you look at this, do you like the algorithm? Speaking of algorithm, do you love talking about algorithm or do you hate talking about algorithm?
Speaker 3:well, I like talking about algorithms because, like I, I like to develop them and I like to think about them or read about them as well. So recently, when they uh, when we had this news about open AI and Q star algorithm, I've read everything about A star, about Q learning, about everything.
Speaker 1:It was quite fascinating that's cool, um, they scare. They scare me, but also I I agree that they're fascinating because they're such a great insight into the human, uh, the human condition, I think, in so many ways. All right, so I have a terrible view on that. Let me get all this fixed here. So I got all of that fixed. Also, we can show this little thing, um, but I want to make sure that people are able to scan it if they're watching in a big way, because I thought that was a pretty good snapshot of what you're offering over there and what we potentially are going to look at, which is to start creating. It's free, like those are our music to my ear. So what do we get for free and for how long?
Speaker 3:Well, it's free with some limitations, I think forever. And then, once you hit these limitations, then you go to a paid tier.
Speaker 1:And what am I creating? Digital employee? Should we do that or should we talk about something else? I'll give you the floor.
Speaker 3:Well, I think I don't have time today. Maybe, probably next time, we can talk about digital employees more.
Speaker 1:Yeah, we can talk more about it. So if you only had three minutes left for sound bites and that's roughly what we're talking about here so I'll get out of the way. I'll leave the main screen up, I'll get out of the way. Do you want music on off? Tell me the sceneries that I can set for you and I will allow you to take us out, because I'm really grateful for your time. I know you have words to tell the world and maybe you'll get hit by a bus after this. So tell the world whatever you want to say and tell me what you need changed about our environment. Alex, thank you so much for being a guest in my first live. It's been fascinating. To speak to you and to share space with your brain and my brain and all the brains in between us is an honor, thank you.
Speaker 3:Yeah, thank you very much. Thank you very much, trevor. It's been a pleasure talking to you and, uh, to all the audience. Yeah, like I said, ai is, uh, very fascinating. Technology has been evolving, uh, for like decades, but right now it's been so fast that we have so many new technologies, so many new opportunities that people cannot realize, cannot do. And, yeah, what we do, we are trying to cope with all these new technologies. We are trying to test them as they emerge and trying to apply them to various specific areas of our life. Right now, we are trying to build digital employees, which are which can augment the existing workforce of businesses and, yeah, if you have any questions or you think it can help you or your company, reach out to me and yeah, we can, we can definitely do that for you, thank you. Thank you very much, much. Thank you, trevor, for having me here and, yeah, so I'd be happy to to join another discussion okay, wonderful, I will.
Speaker 1:I'll play us out on some of my wife's music. So, uh, so if people want to hang around and support my wife that's the best way you could ever support me is by listening to her new song. It gets me. So what we'll play out on is her new song called she is Human. Thank you everybody for stopping by. Alex, thanks for being here. We'll talk more sometime again soon, if you'll allow it, because you know I love to talk about this type of stuff. Thanks everybody that ever stops by and we'll see you next time. See you, alex.
Speaker 2:Bye-bye.
Speaker 1:So strong, fun and inviting.
Speaker 2:She does it all With ease, without fall, but in the darkness, behind the door, in the shower, laying on the floor. She is human, can't take it all, but it's made of limps. She's never late On time for everything. Start laughing for everything. Small laughing always seems happy. But in the darkness, behind the door, in the shower, laid on the floor. She is human, can't take it all, but it's better than tears fall. Guitar solo.
Speaker 3:But in the darkness behind the door, in the shadowing on the floor. She is human, can't take it all, but her sweat and tears Is warm. She is human, can't take it all.
Speaker 2:Now perfection, is it all? Yeah, I'm just trying to run my.
Speaker 2:Focus on my chicken baby. I can't fall with these niggas cause they hatin'. I'm just tryna run my Back up. Tell a broke nigga boy get your bands up. You say you fuckin' on my bitch man, you can't have her. I'm not stuntin' on that shit that y'all be sayin' when I step up and my kicks on Jackie Chan. Yeah, you not talkin' no money, don't understand. When I'm in the city I move, just like the president. I got some killers with me. They gon' shoot, no hesitatin'. Call them lackin' face, shotin' out he levitatin'. I ain't no killer, but don't push me, I'll whack somethin'. Why these niggas watchin' me like I'm they bitch or somethin', when they really need to go?
